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10.1101/19000109
Molecular profiling of neonatal dried blood spots reveals changes in innate and adaptive immunity following fetal inflammatory response
Daniel Costa; Nuria Bonet; Amanda Sole; Jose Manuel Gonzalez de Aledo-Castillo; Eduard Sabido; Ferran Casals; Carlota Rovira; Alfons Nadal; Jose Luis Marin; Teresa Cobo; Robert Castelo
Robert Castelo
Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Research Programme on Biomedical Informatics, Institut Hospita
2019-06-25
1
null
cc_by
genetic and genomic medicine
https://www.medrxiv.org/content/early/2019/06/25/19000109.source.xml
The fetal inflammatory response (FIR) increases the risk of perinatal brain injury, particularly in extremely low gestational age newborns (ELGANs, < 28 weeks of gestation). One of the mechanisms contributing to such a risk is a postnatal intermittent or sustained systemic inflammation (ISSI) following FIR. The link between prenatal and postnatal systemic inflammation is supported by the presence of well-established inflammatory biomarkers in the umbilical cord and peripheral blood. However, the extent of molecular changes contributing to this association is unknown. Using RNA sequencing and mass spectrometry proteomics, we profiled the transcriptome and proteome of archived neonatal dried blood spot (DBS) specimens from 21 ELGANs. Comparing FIR-affected and unaffected ELGANs, we identified 782 gene and 27 protein expression changes of 50% magnitude or more, and an experiment-wide significance level below 5% false discovery rate. These expression changes confirm the robust postnatal activation of the innate immune system in FIR-affected ELGANs and reveal for the first time an impairment of their adaptive immunity. In turn, the altered pathways provide clues about the molecular mechanisms triggering ISSI after FIR, and the onset of perinatal brain injury.
10.1111/febs.15578
medrxiv
10.1101/19000109
Molecular profiling of neonatal dried blood spots reveals changes in innate and adaptive immunity following fetal inflammatory response
Costa, D.; Bonet, N.; Sole, A.; Gonzalez de Aledo-Castillo, J. M.; Sabido, E.; Casals, F.; Rovira, C.; Nadal, A.; Marin, J. L.; Cobo, T.; Castelo, R.
Robert Castelo
Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Research Programme on Biomedical Informatics, Institut Hospita
2019-07-09
2
PUBLISHAHEADOFPRINT
cc_by_nc
genetic and genomic medicine
https://www.medrxiv.org/content/early/2019/07/09/19000109.source.xml
The fetal inflammatory response (FIR) increases the risk of perinatal brain injury, particularly in extremely low gestational age newborns (ELGANs, < 28 weeks of gestation). One of the mechanisms contributing to such a risk is a postnatal intermittent or sustained systemic inflammation (ISSI) following FIR. The link between prenatal and postnatal systemic inflammation is supported by the presence of well-established inflammatory biomarkers in the umbilical cord and peripheral blood. However, the extent of molecular changes contributing to this association is unknown. Using RNA sequencing and mass spectrometry proteomics, we profiled the transcriptome and proteome of archived neonatal dried blood spot (DBS) specimens from 21 ELGANs. Comparing FIR-affected and unaffected ELGANs, we identified 782 gene and 27 protein expression changes of 50% magnitude or more, and an experiment-wide significance level below 5% false discovery rate. These expression changes confirm the robust postnatal activation of the innate immune system in FIR-affected ELGANs and reveal for the first time an impairment of their adaptive immunity. In turn, the altered pathways provide clues about the molecular mechanisms triggering ISSI after FIR, and the onset of perinatal brain injury.
10.1111/febs.15578
medrxiv
10.1101/19000109
Genome-wide postnatal changes in immunity following fetal inflammatory response
Costa, D.; Bonet, N.; Sole, A.; Gonzalez de Aledo-Castillo, J. M.; Sabido, E.; Casals, F.; Rovira, C.; Nadal, A.; Marin, J. L.; Cobo, T.; Castelo, R.
Robert Castelo
Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Research Programme on Biomedical Informatics, Institut Hospita
2020-03-16
3
PUBLISHAHEADOFPRINT
cc_by
genetic and genomic medicine
https://www.medrxiv.org/content/early/2020/03/16/19000109.source.xml
The fetal inflammatory response (FIR) increases the risk of perinatal brain injury, particularly in extremely low gestational age newborns (ELGANs, < 28 weeks of gestation). One of the mechanisms contributing to such a risk is a postnatal intermittent or sustained systemic inflammation (ISSI) following FIR. The link between prenatal and postnatal systemic inflammation is supported by the presence of well-established inflammatory biomarkers in the umbilical cord and peripheral blood. However, the extent of molecular changes contributing to this association is unknown. Using RNA sequencing and mass spectrometry proteomics, we profiled the transcriptome and proteome of archived neonatal dried blood spot (DBS) specimens from 21 ELGANs. Comparing FIR-affected and unaffected ELGANs, we identified 782 gene and 27 protein expression changes of 50% magnitude or more, and an experiment-wide significance level below 5% false discovery rate. These expression changes confirm the robust postnatal activation of the innate immune system in FIR-affected ELGANs and reveal for the first time an impairment of their adaptive immunity. In turn, the altered pathways provide clues about the molecular mechanisms triggering ISSI after FIR, and the onset of perinatal brain injury.
10.1111/febs.15578
medrxiv
10.1101/19000109
Genome-wide postnatal changes in immunity following fetal inflammatory response
Costa, D.; Bonet, N.; Sole, A.; Gonzalez de Aledo-Castillo, J. M.; Sabido, E.; Casals, F.; Rovira, C.; Nadal, A.; Marin, J. L.; Cobo, T.; Castelo, R.
Robert Castelo
Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Research Programme on Biomedical Informatics, Institut Hospita
2020-07-24
4
PUBLISHAHEADOFPRINT
cc_by
genetic and genomic medicine
https://www.medrxiv.org/content/early/2020/07/24/19000109.source.xml
The fetal inflammatory response (FIR) increases the risk of perinatal brain injury, particularly in extremely low gestational age newborns (ELGANs, < 28 weeks of gestation). One of the mechanisms contributing to such a risk is a postnatal intermittent or sustained systemic inflammation (ISSI) following FIR. The link between prenatal and postnatal systemic inflammation is supported by the presence of well-established inflammatory biomarkers in the umbilical cord and peripheral blood. However, the extent of molecular changes contributing to this association is unknown. Using RNA sequencing and mass spectrometry proteomics, we profiled the transcriptome and proteome of archived neonatal dried blood spot (DBS) specimens from 21 ELGANs. Comparing FIR-affected and unaffected ELGANs, we identified 782 gene and 27 protein expression changes of 50% magnitude or more, and an experiment-wide significance level below 5% false discovery rate. These expression changes confirm the robust postnatal activation of the innate immune system in FIR-affected ELGANs and reveal for the first time an impairment of their adaptive immunity. In turn, the altered pathways provide clues about the molecular mechanisms triggering ISSI after FIR, and the onset of perinatal brain injury.
10.1111/febs.15578
medrxiv
10.1101/19000109
Genome-wide postnatal changes in immunity following fetal inflammatory response
Costa, D.; Bonet, N.; Sole, A.; Gonzalez de Aledo-Castillo, J. M.; Sabido, E.; Casals, F.; Rovira, C.; Nadal, A.; Marin, J. L.; Cobo, T.; Castelo, R.
Robert Castelo
Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Research Programme on Biomedical Informatics, Institut Hospita
2020-09-25
5
PUBLISHAHEADOFPRINT
cc_by
genetic and genomic medicine
https://www.medrxiv.org/content/early/2020/09/25/19000109.source.xml
The fetal inflammatory response (FIR) increases the risk of perinatal brain injury, particularly in extremely low gestational age newborns (ELGANs, < 28 weeks of gestation). One of the mechanisms contributing to such a risk is a postnatal intermittent or sustained systemic inflammation (ISSI) following FIR. The link between prenatal and postnatal systemic inflammation is supported by the presence of well-established inflammatory biomarkers in the umbilical cord and peripheral blood. However, the extent of molecular changes contributing to this association is unknown. Using RNA sequencing and mass spectrometry proteomics, we profiled the transcriptome and proteome of archived neonatal dried blood spot (DBS) specimens from 21 ELGANs. Comparing FIR-affected and unaffected ELGANs, we identified 782 gene and 27 protein expression changes of 50% magnitude or more, and an experiment-wide significance level below 5% false discovery rate. These expression changes confirm the robust postnatal activation of the innate immune system in FIR-affected ELGANs and reveal for the first time an impairment of their adaptive immunity. In turn, the altered pathways provide clues about the molecular mechanisms triggering ISSI after FIR, and the onset of perinatal brain injury.
10.1111/febs.15578
medrxiv
10.1101/19000273
Crohns disease and ulcerative colitis patient perspectives on clinical trials and participation
Orna G Ehrlich; James Testaverde; Caren Heller; Stuart Daman; Annick Anderson; Peter D.R. Higgins
Orna G Ehrlich
Crohn\'s & Colitis Foundation
2019-06-25
1
null
cc_by_nc_nd
gastroenterology
https://www.medrxiv.org/content/early/2019/06/25/19000273.source.xml
BackgroundClinical trial recruitment is often the rate-limiting step in the development of new treatments reaching patients across all disease states. With more than 1500 currently available clinical trials for inflammatory bowel diseases (IBD) patients, it is important to understand patient perceptions of clinical trial participation to improve recruitment and retention. This study aimed to examine the specific challenges and barriers that might be reducing IBD patient enrollment and potential methods to overcome these barriers. MethodsFive in-person patient focus groups were conducted from February through May 2016 using two facilitation guides. Participants self-reported a diagnosis of Crohns disease or ulcerative colitis. ResultsThe five focus groups included a total of 34 participants. Participants discussed several barriers, including fears, disease severity at trial onset, potential adverse effects, time constraints, and the influence of both their primary IBD provider and support network. Methods to improve participation included better communication to prospective patients, reduced length of trial and time commitment, lower placebo rates, the option of open label extension, and support of the patients primary IBD provider. ConclusionsThis is the first study to examine patient perceptions for IBD clinical trial enrollment, including barriers to participation and methods to improve participation. Fear and misunderstanding of clinical trials, engagement with providers, limiting time demands, and limiting the impact on work and family were found to be barriers to participation. Creative solutions to these problems could lead to greater participation in trials and more rapid advancement of new therapies to clinical approval and use.
null
medrxiv
10.1101/19000463
Updating Insights into Rosiglitazone and Cardiovascular Risk through Shared Data: Individual Patient-and-Summary-Level Meta-Analyses
Joshua D Wallach; Kun Wang; Audrey D Zhang; Deanna Chang; Holly K Grossetta Nardini; Haiqun Lin; Michael B Bracken; Mayur Desai; Harlan Krumholz; Joseph S. Ross
Joshua D Wallach
Yale School of Public Health
2019-06-25
1
null
cc_by_nc
cardiovascular medicine
https://www.medrxiv.org/content/early/2019/06/25/19000463.source.xml
ObjectiveTo conduct a systematic review and meta-analysis of the effects of rosiglitazone therapy on cardiovascular risk and mortality using multiple data sources and varying analytical approaches. DesignSystematic review and meta-analysis of randomized controlled trials. Data sourcesGlaxoSmithKlines (GSK) Clinical Study Data Request (CSDR) and Study Register platforms, MEDLINE, PubMed, Embase, Web of Science, Cochrane Central Registry of Controlled Trials, Scopus, and ClinicalTrials.gov from inception to January 2019. Study selection criteriaRandomized, controlled, phase II-IV clinical trials comparing rosiglitazone with any control for at least 24 weeks in adults. Data extraction and synthesisFor analyses of trials for which individual patient-level data (IPD) were available, we examined a composite of the following events as our primary outcome: acute myocardial infarction, heart failure, cardiovascular-related deaths, and non-cardiovascular-related deaths. As secondary analyses, these four events were examined independently. When also including trials for which IPD were not available, we examined myocardial infarction and cardiovascular-related deaths, ascertained from summary-level data. Multiple meta-analyses were conducted, accounting for trials with zero events in one or all arms with two different continuity corrections (i.e., 0.5 constant and treatment arm comparator continuity correction), to calculate odds ratios and risk ratios with 95% confidence intervals. ResultsThere were 33 eligible trials for which IPD were available (21156 participants) through GSKs CSDR. We also identified 103 additional trials for which IPD were not available from which we ascertained myocardial infarctions (23683 patients) and 103 trials for cardiovascular-related deaths (22772 patients). Among trials for which IPD were available, we identified a greater number of myocardial infarctions and fewer cardiovascular-related deaths reported in the IPD as compared to the summary-level data. When limited to trials for which IPD were available and accounting for trials with zero-events in only one arm using a constant continuity correction of 0.5, patients treated with rosiglitazone had a 39% increased risk of a composite event compared with controls (Mantel-Haenszel odds ratio 1.39, 95% CI 1.15 to 1.68). When examined separately, the odds ratios for myocardial infarction, heart failure, cardiovascular-related death, and non-cardiovascular-related death were 1.25 (0.99 to 1.60), 1.60 (1.20 to 2.14), 1.18 (0.64 to 2.17), and 1.13 (0.58 to 2.20), respectively. When all trials for which IPD were and were not available were combined for myocardial infarction and cardiovascular-related deaths, the odds ratios were attenuated (1.13 (0.92 to 1.38) and 1.10 (0.73 to 1.65), respectively). Effect estimates and 95% confidence intervals were broadly consistent when analyses were repeated including trials with zero events across all arms using constant continuity corrections of 0.5 or treatment arm continuity corrections. ConclusionsResults of this comprehensive meta-analysis aggregating a multitude of trials and analyzed using a variety of statistical techniques suggest that rosiglitazone is consistently associated with an increased cardiovascular risk, likely driven by heart failure events, whose interpretation is complicated by varying magnitudes of myocardial infarction risk that were attenuated through aggregation of summary-level data in addition to IPD. Systematic review registrationhttps://osf.io/4yvp2/ What is already known on this topic- Since 2007, there have been multiple meta-analyses, using various analytic approaches, that have reported conflicting findings related to rosiglitazones cardiovascular risk. - Previous meta-analyses have relied primarily on summary-level data, and did not have access to individual patient-level data (IPD) from clinical trials. - Currently, there is little consensus on which method should be used to account for sparse adverse event data in meta-analyses. What this study adds- Among trials for which IPD were available, rosiglitazone use was consistently associated with an increased cardiovascular risk, likely driven by heart failure events. - Interpretation of rosiglitazones cardiovascular risk is complicated by varying magnitudes of myocardial infarction risk that were attenuated through aggregation of summary-level data in addition to IPD. - Among trials for which IPD were available, we identified a greater number of myocardial infarctions and fewer cardiovascular deaths reported in the IPD as compared to the summary-level data, which suggests that IPD may be necessary to accurately classify all adverse events when performing meta-analyses focused on safety.
10.1136/bmj.l7078
medrxiv
10.1101/19000430
Predicting epileptic seizures using nonnegative matrix factorization
Olivera Stojanovic; Gordon Pipa
Olivera Stojanovic
Institute of Cognitive Science, University of Osnabrueck
2019-06-25
1
null
cc_by
health informatics
https://www.medrxiv.org/content/early/2019/06/25/19000430.source.xml
This paper presents a procedure for the patient-specific prediction of epileptic seizures. To this end, a combination of nonnegative matrix factorization (NMF) and smooth basis functions with robust regression is applied to power spectra of intracranial electroencephalographic (iEEG) signals. The resulting time and frequency components capture the dominant information from power spectra, while removing outliers and noise. This makes it possible to detect structure in preictal states, which is used for classification. Linear support vector machines (SVM) with L1 regularization are used to select and weigh the contributions from different number of not equally informative channels among patients. Due to class imbalance in data, synthetic minority over-sampling technique (SMOTE) is applied. The resulting method yields a computationally and conceptually simple, interpretable model of EEG signals of preictal and interictal states, which shows a good performance for the task of seizure prediction.
10.1371/journal.pone.0228025
medrxiv
10.1101/19000133
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality
Nathan Brajer; Brian Cozzi; Michael Gao; Mike Revoir; Marshall Nichols; Joseph Futoma; Jonathan Bae; Noppon Setji; Suresh Balu; Adrian Hernandez; Mark Sendak
Nathan Brajer
Duke University School of Medicine
2019-06-25
1
null
cc_by_nc_nd
health systems and quality improvement
https://www.medrxiv.org/content/early/2019/06/25/19000133.source.xml
The ability to accurately predict in-hospital mortality for patients at the time of admission could improve clinical and operational decision-making and outcomes. Few machine learning models have been developed to predict in-hospital death that are both broadly applicable to all adult patients across a health system and readily implementable, and, to the best of our knowledge, none have been implemented, evaluated prospectively, or externally validated. The primary objective of this study was to prospectively and externally validate a machine learning model that predicts in-hospital mortality for all adult patients at the time of hospital admission. Model performance was quantified using the area under the receiver operating characteristic curve (AUROC) and area under the precision recall curve (AUPRC). Secondary objectives were to design the model using commonly available EHR data and accessible computational methods. A total of 75,247 hospital admissions (median [IQR] age 59.5 [29.0] years; male [45.9%]) were included in the study. The in-hospital mortality rates for the training validation, retrospective validations at Hospitals A, B, and C, and prospective validation cohorts, respectively, were 3.0%, 2.7%, 1.8%, 2.1%, and 1.6%. The area under the receiver operating characteristic curves (AUROCs), respectively, were 0.87 (0.83-0.89), 0.85 (0.83-0.87), 0.89 (0.86 - 0.92), 0.84 (0.80-0.89), and 0.86 (0.83-0.90). The area under the precision recall curves (AUPRCs), respectively, were 0.29 (0.25-0.37), 0.17 (0.13-0.22), 0.22 (0.14-0.31), 0.13 (0.08-0.21), and 0.14 (0.09-0.21). The results demonstrated accurate prediction of in-hospital mortality for adult patients at the time of admission. The data elements, methods, and patient selection make the model implementable at a system-level.
10.1001/jamanetworkopen.2019.20733
medrxiv
10.1101/19000919
Trends and variation in unsafe prescribing of methotrexate: a cohort study in English NHS primary care.
Brian MacKenna; Helen J Curtis; Alex J Walker; Richard Croker; Seb Bacon; Ben Goldacre
Ben Goldacre
University of Oxford
2019-06-25
1
null
cc_by
health systems and quality improvement
https://www.medrxiv.org/content/early/2019/06/25/19000919.source.xml
ObjectiveTo describe trends and geographical variation in methotrexate prescribing that breaches national safety recommendations; deaths from methotrexate poisoning; and associated litigation. MethodsA retrospective cohort study of English NHS primary care prescribing data, complemented by information obtained through Freedom of Information (FOI) requests. The main outcome measures were: (1) variation in ratio of breaching / adherent prescribing, geographically and over time, between General Practices and Clinical Commissioning Groups; (2) description of responses to FOI requests. ResultsOut of 7349 NHS General Practices in England, 1689 practices prescribed both 2.5mg and 10mg tablets to individual patients in 2017, breaching national guidance. In April 2018, 697 practices (at the 90th centile and above) prescribed at least 14.3% of all methotrexate as 10mg tablets, breaching national guidance. The 66 practices at the 99th percentile and above gave at least 52.4% of all prescribed methotrexate in the form of 10 mg tablets. The prescribing of 10mg tablets has fallen over 7 years, with 10mg tablets as a proportion of all methotrexate tablets falling from 9.1% to 3.4%. 21 deaths caused by methotrexate poisoning have been reported from 1993-2017. ConclusionsThe prevalence of unsafe methotrexate prescribing has reduced but it remains common, with substantial variation between organisations. We recommend the NHS invests in better strategies around implementation of safety recommendations. 21 deaths have been attributed to methotrexate poisoning but with no further details easily available: the full coroners reports for these deaths should be reviewed to identify recurring themes.
10.3399/bjgp20X710993
medrxiv
10.1101/19000919
Trends and variation in unsafe prescribing of methotrexate: a cohort study in English NHS primary care.
MacKenna, B.; Curtis, H. J.; Walker, A. J.; Croker, R.; Bacon, S.; Goldacre, B.
Ben Goldacre
University of Oxford
2019-07-02
2
PUBLISHAHEADOFPRINT
cc_by
health systems and quality improvement
https://www.medrxiv.org/content/early/2019/07/02/19000919.source.xml
ObjectiveTo describe trends and geographical variation in methotrexate prescribing that breaches national safety recommendations; deaths from methotrexate poisoning; and associated litigation. MethodsA retrospective cohort study of English NHS primary care prescribing data, complemented by information obtained through Freedom of Information (FOI) requests. The main outcome measures were: (1) variation in ratio of breaching / adherent prescribing, geographically and over time, between General Practices and Clinical Commissioning Groups; (2) description of responses to FOI requests. ResultsOut of 7349 NHS General Practices in England, 1689 practices prescribed both 2.5mg and 10mg tablets to individual patients in 2017, breaching national guidance. In April 2018, 697 practices (at the 90th centile and above) prescribed at least 14.3% of all methotrexate as 10mg tablets, breaching national guidance. The 66 practices at the 99th percentile and above gave at least 52.4% of all prescribed methotrexate in the form of 10 mg tablets. The prescribing of 10mg tablets has fallen over 7 years, with 10mg tablets as a proportion of all methotrexate tablets falling from 9.1% to 3.4%. 21 deaths caused by methotrexate poisoning have been reported from 1993-2017. ConclusionsThe prevalence of unsafe methotrexate prescribing has reduced but it remains common, with substantial variation between organisations. We recommend the NHS invests in better strategies around implementation of safety recommendations. 21 deaths have been attributed to methotrexate poisoning but with no further details easily available: the full coroners reports for these deaths should be reviewed to identify recurring themes.
10.3399/bjgp20X710993
medrxiv
10.1101/19000596
18F-AV1451 PET imaging and white matter changes in progressive supranuclear palsy
Nicolas Nicastro; Patricia Vazquez Rodriguez; Maura Malpetti; W. Richard Bevan-Jones; P. Simon Jones; Luca Passamonti; Franklin I Aigbirhio; John T O'Brien; James B Rowe
Nicolas Nicastro
University of Cambridge
2019-06-25
1
null
cc_by_nc_nd
neurology
https://www.medrxiv.org/content/early/2019/06/25/19000596.source.xml
IntroductionProgressive supranuclear palsy (PSP) is characterized by deposition of straight filament tau aggregates in the grey matter of deep nuclei and cerebellum. White matter changes are increasingly documented as a feature of degenerative parkinsonism. We therefore examined the relationship between tau pathology (assessed via 18F-AV1451 positron emission tomography) and white matter integrity (using diffusion tensor imaging, DTI) in PSP. MethodsTwenty-three people with clinically probable PSP-Richardsons syndrome (age 68.8 {+/-} 5.8 years, 39% female) and 23 controls underwent structural 3T brain MRI including DTI. Twenty-one patients also underwent 18F-AV145 PET imaging. DTI group comparisons were performed using Fractional Anisotropy (FA), Mean Diffusivity (MD) and Radial Diffusivity (RD). Voxel-wise white matter integrity was correlated with 18F-AV1451 binding in typical subcortical PSP regions of interest (i.e. putamen, pallidum, thalamus and midbrain). DTI and 18F-AV1451 imaging measures were correlated with clinical impairment. ResultsWidespread DTI changes in PSP subjects relative to controls (family-wise error FWE p<0.01) were observed. In PSP, higher 18F-AV1451 binding correlated with reduced white matter integrity in the bilateral internal capsule, corona radiata, and superior longitudinal fasciculus (FWE p<0.05). Association between cognitive impairment (ACER score) and white matter deficits were found in the genu of corpus callosum and cingulum (p<0.005). ConclusionThis cross-sectional study demonstrates an association between in vivo proxy measures of tau pathology and white matter degeneration in PSP. Longitudinal studies and more specific PET probes for non-Alzheimer tauopathies are warranted to assess the complex interplay between microstructural changes and protein deposition in PSP.
10.1007/s00415-019-09566-9
medrxiv
10.1101/19000265
Perception of whole-body motion during balance perturbations is impaired in Parkinson's disease and is associated with balance impairment
Sistania M Bong; JL McKay; Stewart A Factor; Lena H Ting
Lena H Ting
Emory University
2019-06-25
1
null
cc_by
neurology
https://www.medrxiv.org/content/early/2019/06/25/19000265.source.xml
BackgroundIn addition to motor deficits, Parkinsons disease (PD) may cause perceptual impairments. The role of perceptual impairments in sensorimotor function is unclear, and has typically been studied in single-joint motions. Research Question: We hypothesized that perception of whole-body motion is impaired in PD and contributes to balance impairments. We tested 1) whether directional acuity to whole body perturbations during standing was worse in people with PD compared to neurotypical older adults (NOA), and 2) whether balance ability, as assessed by the MiniBESTest, was associated with poor directional acuity in either group. MethodsParticipants were exposed to pairs of support-surface translation perturbations in a two-alternative forced choice testing paradigm developed previously in a young healthy population. The first perturbation of each pair was directly backward and the second deviated to the left or right (1{degrees}-44{degrees}). Participants judged and reported whether the perturbations in each pair were in the "same" or "different" direction. This information was used to calculate directional acuity thresholds corresponding to "just-noticeable differences" in perturbation direction. Linear mixed models determined associations between directional thresholds and clinical variables including MDS UPDRS-III score, age, and MiniBESTest score. Results: 20 PD (64{+/-}7 y, 12 male, [&gt;=]12 hours since last intake of antiparkinsonian medications) and 12 NOA (64{+/-}8, 6 male) were assessed. Directional thresholds were higher (worse) among PD participants (17.6{+/-}5.9{degrees} vs. 12.8{+/-}3.3{degrees}, P<0.01). Linear mixed models further showed that higher thresholds were associated with MDS UPDRS-III score (P<0.01), and were associated with poorer balance ability among PD participants (P<0.01), but not among NOA participants (P=0.40). Significance: Perception of whole-body motion is impaired in PD and may contribute to impaired balance and falls.
10.1016/j.gaitpost.2019.10.029
medrxiv
10.1101/19000497
Proximal and distal factors predicting timely initiation of breastfeeding in Ethiopia: a systematic review and meta-analysis
Tesfa Dejenie Habtewold; Shimels Hussien Mohammed; Aklilu Endalamaw; Henok Mulugeta; Getenet Dessie; Derbew Fikadu Berhe; Mulugeta Molla Birhanu; Md. Atiqul Islam; Andreas A. Teferra; Nigus Gebremedhin Asefa; Sisay Mulugeta Alemu
Tesfa Dejenie Habtewold
Department of Epidemiology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
2019-06-25
1
null
cc_by_nc_nd
nutrition
https://www.medrxiv.org/content/early/2019/06/25/19000497.source.xml
BackgroundIn Ethiopia, the current coverage of timely initiation of breast feeding (TIBF) has fallen short of the national Health Sector Transformation Plan 2016-2020, National Nutrition Program 2016-2020 and WHO global target. This calls for the need to assess relevant proximal and distal factors that affect the rate of TIBF in Ethiopia. ObjectiveThe aim of this meta-analysis was to investigate the association between TIBF and educational status, household income, marital status, media exposure, and parity in Ethiopia. MethodsDatabases used were PubMed, EMBASE, Web of Science, SCOPUS, CINAHL and WHO Global health library, and key terms were searched using interactive searching syntax. It was also supplemented by manual searching. Observational studies published between September 2000 and March 2019 were included. The methodological quality of studies was examined using the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. Data were extracted using the Joanna Briggs Institute (JBI) data extraction tool. To obtain the pooled odds ratio (OR), extracted data were fitted in a random-effects meta-analysis model. Statistical heterogeneity was quantified using Cochrans Q test, {tau}2, and I2 statistics. Additional analysis conducted includes Jackknife sensitivity analysis, cumulative meta-analysis, and meta-regression analysis. ResultsOut of 553 studies retrieved, 25 studies fulfilled our inclusion criteria. Almost all studies were conducted on mothers with newborn less than 23 months. Maternal educational status (OR = 1.82; p < 0.001; 95% CI = 1.35 - 2.45; I2 = 84.96%), paternal educational status (OR = 2.72; p = 0.001, 95% CI = 1.49 - 4.97 I2 = 62.50%), income (OR = 1.16; p = 0.002; 95% CI = 1.05 - 1.27; I2 = 0.00%), marital status (OR = 1.39; p = 0.001; 95% CI = 1.14 - 1.69; I2 = 9.17%) and parity (OR = 1.39; p = 0.01; 95% CI = 1.07 - 1.81; I2 = 74.43%) were found to be significantly associated with TIBF. We also observed a direct dose-response relationship of TIBF with educational status and income. ConclusionsProximal and distal factors significantly predicting TIBF practice in Ethiopia, which needs integrated intervention by health professionals and healthcare policymakers. Health education, counselling and peer education targeting parents at antenatal and postnatal periods are needed. It is also relevant to improve the economic power of women and promote gender equality.
10.1111/apa.15278
medrxiv
10.1101/19000497
Proximal and distal factors predicting timely initiation of breastfeeding in Ethiopia: a systematic review and meta-analysis
Habtewold, T. D.; Mohammed, S. H.; Endalamaw, A.; Mulugeta, H.; Dessie, G.; Berhe, D. F.; Birhanu, M. M.; Islam, M. A.; Teferra, A. A.; Asefa, N. G.; Alemu, S. M.
Tesfa Dejenie Habtewold
Department of Epidemiology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
2019-07-08
2
PUBLISHAHEADOFPRINT
cc_by_nc_nd
nutrition
https://www.medrxiv.org/content/early/2019/07/08/19000497.source.xml
BackgroundIn Ethiopia, the current coverage of timely initiation of breast feeding (TIBF) has fallen short of the national Health Sector Transformation Plan 2016-2020, National Nutrition Program 2016-2020 and WHO global target. This calls for the need to assess relevant proximal and distal factors that affect the rate of TIBF in Ethiopia. ObjectiveThe aim of this meta-analysis was to investigate the association between TIBF and educational status, household income, marital status, media exposure, and parity in Ethiopia. MethodsDatabases used were PubMed, EMBASE, Web of Science, SCOPUS, CINAHL and WHO Global health library, and key terms were searched using interactive searching syntax. It was also supplemented by manual searching. Observational studies published between September 2000 and March 2019 were included. The methodological quality of studies was examined using the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. Data were extracted using the Joanna Briggs Institute (JBI) data extraction tool. To obtain the pooled odds ratio (OR), extracted data were fitted in a random-effects meta-analysis model. Statistical heterogeneity was quantified using Cochrans Q test, {tau}2, and I2 statistics. Additional analysis conducted includes Jackknife sensitivity analysis, cumulative meta-analysis, and meta-regression analysis. ResultsOut of 553 studies retrieved, 25 studies fulfilled our inclusion criteria. Almost all studies were conducted on mothers with newborn less than 23 months. Maternal educational status (OR = 1.82; p < 0.001; 95% CI = 1.35 - 2.45; I2 = 84.96%), paternal educational status (OR = 2.72; p = 0.001, 95% CI = 1.49 - 4.97 I2 = 62.50%), income (OR = 1.16; p = 0.002; 95% CI = 1.05 - 1.27; I2 = 0.00%), marital status (OR = 1.39; p = 0.001; 95% CI = 1.14 - 1.69; I2 = 9.17%) and parity (OR = 1.39; p = 0.01; 95% CI = 1.07 - 1.81; I2 = 74.43%) were found to be significantly associated with TIBF. We also observed a direct dose-response relationship of TIBF with educational status and income. ConclusionsProximal and distal factors significantly predicting TIBF practice in Ethiopia, which needs integrated intervention by health professionals and healthcare policymakers. Health education, counselling and peer education targeting parents at antenatal and postnatal periods are needed. It is also relevant to improve the economic power of women and promote gender equality.
10.1111/apa.15278
medrxiv
10.1101/19000638
Transfer of Statistical Innovations of the 1990s-2000s in Oncology to the Biomedical Literature
Alexandre Vivot; Vincent Levy; Sylvie Chevret
Alexandre Vivot
APHP
2019-06-25
1
null
cc_no
oncology
https://www.medrxiv.org/content/early/2019/06/25/19000638.source.xml
IntroductionInnovations in the fields of clinical studies require time to generate and disseminate new knowledge. We aimed to specifically explore lag times between the introduction and widespread use of innovative statistical methods in oncology using the competing risks and phase I model-based clinical trials settings as examples. MethodsFirst, we defined a set of closed articles for each setting based on two princeps papers (Gray, Annals of Statistics 1998 for the competing risks setting and OQuigley et al., Biometrics 1990 for the phase I setting). Secondly, we retrieved from the web of science all citations of the papers included in these sets. Each journal was classified as applied, semi-applied or methodological. ResultsA total of 6,727 citations for the competing risks setting and 2,639 citations for the phase I setting were found. Time to reach 25 citations was 6.2 years for the Grays paper and 4.5 years for the Fine and Gray paper, while it ranged from 3.4 years up to at least 20.1 years and not reached for 6 papers from the competing risks setting. The vast majority (91%) of the citing papers for the competing risks setting originated from applied journals. In contrast, less than half (44%) of the citing papers for the phase I setting were published in applied journals. ConclusionStatistical innovations in the competing risks setting have been widely diffused in the medical literature unlike the model-based designs for phase I trials, which are still seldom used 30 years after publication.
null
medrxiv
10.1101/19000174
Histopathologist Features Predictive of Diagnostic Concordance at Expert Level Amongst a Large International Sample of Pathologists Diagnosing Barrett′s Dysplasia Using Digital Pathology
Myrtle J Van der Wel; Helen G Coleman; Jacques JGHM Bergman; Marnix Jansen; Sybren L Meijer
Marnix Jansen
UCL Cancer Institute
2019-06-25
1
null
cc_no
oncology
https://www.medrxiv.org/content/early/2019/06/25/19000174.source.xml
ObjectiveGuidelines recommend expert pathology review of Barretts oesophagus (BO) biopsies that reveal dysplasia, but there are no evidence-based standards to corroborate expert reviewer status. We investigated BO concordance rates and pathologist features predictive of diagnostic discordance amongst a large international cohort of gastrointestinal pathologists to develop a quantitative model of BO expert review. DesignPathologists (n=55) from over 20 countries assessed 55 digitised BO biopsies from across the diagnostic spectrum, before and after viewing matched p53 immunohistochemistry. Extensive demographic and clinical experience data were obtained via online questionnaire. We calculated discordance rates and applied multivariate regression analyses to identify predictors of concordance. ResultsWe recorded over 6,000 individual case diagnoses. Of 2,805 H&E diagnoses, we found excellent concordance (>70%) for non-dysplastic Barretts oesophagus (NDBO) and high-grade dysplasia (HGD), and intermediate concordance for low-grade dysplasia (LGD, 42%) and indefinite for dysplasia (IND, 23%). Major diagnostic errors (i.e. NDBO overinterpreted as LGD/HGD or vice versa) were found in 248 diagnoses (8.8%), which reduced to 8.3% after viewing p53 labelled slides. At least 5 years of professional experience was protective against major diagnostic error for H&E slide review (OR 0.48, 95%CI 0.31-0.74). Working in a district general hospital was associated with increased odds of major diagnostic error (OR 1.76, 95%CI 1.15-2.69), however this was neutralised when pathologists viewed p53 labelled slides, suggesting a beneficial impact of p53 immunohistochemistry for this group. ConclusionWe have developed an evidence-based quantitative model of BO histopathology diagnosis at expert consensus level that will inform guideline development.
10.1136/gutjnl-2019-318985
medrxiv
10.1101/19000653
Pain Reduction by Inducing Sensory-Motor Adaptation in Complex Regional Pain Syndrome (CRPS PRISMA): Protocol for a Double-blind Randomized Controlled Trial
Monika Halicka; Axel D Vittersø; Michael J Proulx; Janet H Bultitude
Monika Halicka
University of Bath
2019-06-25
1
null
cc_by_nc_nd
pain medicine
https://www.medrxiv.org/content/early/2019/06/25/19000653.source.xml
BackgroundComplex Regional Pain Syndrome (CRPS) presents as chronic, continuous pain and sensory, autonomic, and motor abnormalities affecting one or more extremities. People with CRPS can also show changes in their perception of and attention to the affected body part and sensory information in the affected side of space. Prism Adaptation (PA) is a behavioural intervention targeted at reducing attention deficits in post-stroke hemispatial neglect. PA also appears to reduce pain and other CRPS symptoms; however, these therapeutic effects have been demonstrated only in small unblinded studies. This paper describes the protocol for an ongoing double-blind, randomized, sham-controlled clinical trial that will evaluate the efficacy of PA treatment for CRPS. The secondary aims of the study are to examine the relationships between neuropsychological changes (such as spatial attention, space and body representation, and motor spatial performance) and clinical manifestations of CRPS, as well as symptom improvement. MethodsForty-two participants with upper-limb CRPS type I will undergo two weeks of twice-daily PA treatment or sham treatment. The primary outcome measures are current pain intensity and CRPS severity score, measured immediately before and after the treatment period. Secondary outcome measures include the results of self-report questionnaires about pain, movement, symptoms interference, and body representation; clinical assessments of sensory, motor, and autonomic functions; and computer-based psychophysical tests of neuropsychological functions. Data are collected in four research visits: four weeks and one day before treatment, and one day and four weeks after the end of treatment. Additional follow-up through postal questionnaires is conducted three and six months post-treatment. DiscussionIt is hypothesised that participants undergoing PA treatment, compared to those receiving sham treatment, will show greater reduction in pain and CRPS severity score, and improvements on other clinical and neuropsychological measures. Also, more pronounced neuropsychological symptoms are predicted to correlate with more severe clinical CRPS symptoms. This study will provide the first randomized double-blind evaluation of the therapeutic effects of PA that could be implemented as a rehabilitation method for CRPS, and will contribute to the understanding of how neuropsychological changes in body representation and attention pertain to the manifestation and treatment of CRPS.
10.1186/s12883-020-1604-z
medrxiv
10.1101/19000653
Pain Reduction by Inducing Sensory-Motor Adaptation in Complex Regional Pain Syndrome (CRPS PRISMA): Protocol for a Double-blind Randomized Controlled Trial
Halicka, M.; Vitterso, A. D.; Proulx, M. J.; Bultitude, J. H.
Monika Halicka
University of Bath
2020-01-03
2
PUBLISHAHEADOFPRINT
cc_by_nc_nd
pain medicine
https://www.medrxiv.org/content/early/2020/01/03/19000653.source.xml
BackgroundComplex Regional Pain Syndrome (CRPS) presents as chronic, continuous pain and sensory, autonomic, and motor abnormalities affecting one or more extremities. People with CRPS can also show changes in their perception of and attention to the affected body part and sensory information in the affected side of space. Prism Adaptation (PA) is a behavioural intervention targeted at reducing attention deficits in post-stroke hemispatial neglect. PA also appears to reduce pain and other CRPS symptoms; however, these therapeutic effects have been demonstrated only in small unblinded studies. This paper describes the protocol for an ongoing double-blind, randomized, sham-controlled clinical trial that will evaluate the efficacy of PA treatment for CRPS. The secondary aims of the study are to examine the relationships between neuropsychological changes (such as spatial attention, space and body representation, and motor spatial performance) and clinical manifestations of CRPS, as well as symptom improvement. MethodsForty-two participants with upper-limb CRPS type I will undergo two weeks of twice-daily PA treatment or sham treatment. The primary outcome measures are current pain intensity and CRPS severity score, measured immediately before and after the treatment period. Secondary outcome measures include the results of self-report questionnaires about pain, movement, symptoms interference, and body representation; clinical assessments of sensory, motor, and autonomic functions; and computer-based psychophysical tests of neuropsychological functions. Data are collected in four research visits: four weeks and one day before treatment, and one day and four weeks after the end of treatment. Additional follow-up through postal questionnaires is conducted three and six months post-treatment. DiscussionIt is hypothesised that participants undergoing PA treatment, compared to those receiving sham treatment, will show greater reduction in pain and CRPS severity score, and improvements on other clinical and neuropsychological measures. Also, more pronounced neuropsychological symptoms are predicted to correlate with more severe clinical CRPS symptoms. This study will provide the first randomized double-blind evaluation of the therapeutic effects of PA that could be implemented as a rehabilitation method for CRPS, and will contribute to the understanding of how neuropsychological changes in body representation and attention pertain to the manifestation and treatment of CRPS.
10.1186/s12883-020-1604-z
medrxiv
10.1101/19000562
Limitations of machine learning in psychiatry: Participation in the PAC 2018 depression challenge
Fabian Eitel; Sebastian Stober; Lea Waller; Lena Dorfschmidt; Henrik Walter; Kerstin Ritter
Kerstin Ritter
Charite - Universitaetsmedizin Berlin
2019-06-25
1
null
cc_by_nc
psychiatry and clinical psychology
https://www.medrxiv.org/content/early/2019/06/25/19000562.source.xml
The authors have withdrawn this manuscript because the results were posted in error. The authors do not wish this work to be cited as reference for the project. Please contact the corresponding author if you have any questions.
null
medrxiv
10.1101/19000562
Limitations of machine learning in psychiatry: Participation in the PAC 2018 depression challenge
Eitel, F.; Stober, S.; Waller, L.; Dorfschmidt, L.; Walter, H.; Ritter, K.
Kerstin Ritter
Charite - Universitaetsmedizin Berlin
2019-07-08
2
PUBLISHAHEADOFPRINT
cc_by_nc
psychiatry and clinical psychology
https://www.medrxiv.org/content/early/2019/07/08/19000562.source.xml
The authors have withdrawn this manuscript because the results were posted in error. The authors do not wish this work to be cited as reference for the project. Please contact the corresponding author if you have any questions.
null
medrxiv
10.1101/19000562
Limitations of machine learning in psychiatry: Participation in the PAC 2018 depression challenge
Eitel, F.; Stober, S.; Waller, L.; Dorfschmidt, L.; Walter, H.; Ritter, K.
Kerstin Ritter
Charite - Universitaetsmedizin Berlin
2019-08-05
3
WITHDRAWN
cc_by_nc
psychiatry and clinical psychology
https://www.medrxiv.org/content/early/2019/08/05/19000562.source.xml
The authors have withdrawn this manuscript because the results were posted in error. The authors do not wish this work to be cited as reference for the project. Please contact the corresponding author if you have any questions.
null
medrxiv
10.1101/19000166
Gait differences in patients with multiple sclerosis who have low and high levels of disability.
John J Fraser; Jeannie Stephensen
John J Fraser
Physical Therapy Program, Department of Biology, The College of Staten Island City University of New York, Staten Island, NY
2019-06-25
1
null
cc0
rehabilitation medicine and physical therapy
https://www.medrxiv.org/content/early/2019/06/25/19000166.source.xml
BackgroundMultiple Sclerosis (MS) often results in gait impairment and disability. ObjectiveTo investigate differences in spatiotemporal gait characteristics of people with MS who have low versus high levels of disability. Between trial and inter-limb consistency and the association of gait variables with level of disability were also investigated. MethodsParticipants with MS who had either low-disability [n=7; 3 females; EDSS mean: 2.7{+/-}0.5, range 2.0-4.5; BMI=26.9{+/-}6.6] or high-disability [n=11; 6 females; EDSS mean: 2.7{+/-}0.5, range 6.0-6.5; BMI=27.8{+/-}1.5) performed 2 trials of self-selected walking on an instrumented walkway. Differences in group, limb, and group by limb interactions were assessed using analysis of variance, independent-measures t-tests, and Cohens d effect sizes (ES). Between-trial consistency of gait were assessed with intra-class correlation coefficients (2, k). ResultsParticipants in the high disability group had increased step time (ES=0.8), cycle time (ES=0.8), and ambulation time (ES=1.2) while taking shorter strides (ES=0.9) and more steps at a slower rate (ES=1.1). The high disability group demonstrated less between-trial consistency for 69% of gait variables when compared to the low disability group. ConclusionPeople with MS who have high levels of disability walk differently and with less consistency than those with lower levels of disability.
null
medrxiv
10.1101/19000356
Metabolomics in juvenile-onset SLE: identifying new biomarkers to predict cardiovascular risk
George A Robinson; Leda Coelewij; Ania Radziszewska; Chris Wincup; Hannah Peckham; Kirsty Waddington; David A Isenberg; Yiannis Ioannou; Coziana Ciurtin; Ines Pineda-Torra; Elizabeth C Jury
Elizabeth C Jury
University College London
2019-06-25
1
null
cc_no
rheumatology
https://www.medrxiv.org/content/early/2019/06/25/19000356.source.xml
BACKGROUNDJuvenile-onset systemic lupus erythematosus (JSLE) is an autoimmune disorder characterised by immune dysregulation, chronic inflammation and increased cardiovascular risk (CVR). Cardiovascular disease is the leading cause of mortality in JSLE patients not attributable to disease flares. However, it is not possible to predict those patients at greatest risk using traditional CVR factors. METHODSSerum metabolomic analysis was performed using a nuclear magnetic resonance spectroscopy-platform in 31 JSLE patients. Data was analysed using cluster, linear regression and receiver operating characteristic analysis. Results were validated in a second cohort of 31 JSLE patients and using data from a cohort of adult-onset SLE patients with known pre-clinical atherosclerotic plaque. RESULTSUnbiased hierarchical clustering of metabolomic data identified three patient groups. Group-1 had decreased atheroprotective high density lipoproteins (HDL) and increased atherogenic very low and low density lipoproteins (VLDL/LDL); Group-2 had elevated HDL but reduced VLDL/LDL; and Group-3 had low HDL/VLDL/LDL levels. Notably, apolipoprotein(Apo)B1:ApoA1 ratio, a known CVR marker in adult cohorts, was elevated in Group-1 JSLE patients compared to Groups-2/3. The metabolomic signature was validated in a second JSLE cohort and compared with lipid biomarkers previously associated with pre-clinical atherosclerotic plaque in adult SLE patients. Linear regression analysis accounting for demographics, treatment, disease activity, lupus serological markers and body mass index confirmed that a unique metabolomic profile could differentiate between JSLE patients at high and low CVR. CONCLUSIONSPatient stratification using ApoB:ApoA1 ratio and lipoprotein signatures could facilitate tailored lipid modification therapies and/or diet/lifestyle interventions to combat increased CVR in JSLE. Key messagesO_LIWhat is already known about the subject? Cardiovascular disease is the leading cause of mortality in juvenile-onset systemic lupus erythematosus (JSLE) not attributable to lupus flares; the cardiovascular risk of JSLE patients is 300 times higher than age matched healthy individuals. It is not possible to predict those patients at greatest risk using traditional risk factors. C_LIO_LIWhat does this study add? In depth lipoprotein-based metabolomic analysis identified Apolipoprotein(Apo)B :ApoA1 ratio as a potential biomarker for predicting increased cardiovascular risk in JSLE. This was validated in a second patient cohort and using metabolic signatures associated with pre-clinical atherosclerotic plaque development in adult SLE patients. C_LIO_LIHow might this impact on clinical practice or future developments? Predicting cardiovascular risk in young JSLE patients using ApoB:ApoA1 ratio could help to stratify patients and identify those who would benefit the most from existing lipid targeting therapies. Reducing cardiovascular risk at a young age could improve patients life expectancy and quality of life and reduce cardiovascular comorbidity in later life. C_LI
10.1016/j.ebiom.2021.103243
medrxiv
10.1101/19000687
Electrocardiographic Changes After Completion of a Triathlon
Caroline Hosatte-Ducassy; Jose Correa; Francois Lalonde; Rohit Mohindra; Michael Chetrit; Gregory Marton; Audrey Marcotte; Francois Tournoux; Eileen Bridges
Caroline Hosatte-Ducassy
McGill University, Department of Emergency Medicine
2019-06-25
1
null
cc_by_nc_nd
sports medicine
https://www.medrxiv.org/content/early/2019/06/25/19000687.source.xml
ObjectivesGiven the increasing popularity of long-distance triathlon events amongst amateur athlete and the difficulty for emergency physician to address cardiovascular complaints in the context of exercise, this study aims to: - Identify the prevalence of electrocardiographic abnormalities before and after a long distance triathlon in a cohort of participants using the Seattle criteria. - Identify the acute changes that occur on their ECGs at the finish line of a long-distance triathlon. MethodsThis prospective observational study examines the prevalence of selected standard 12-lead ECG findings, the Seattle criteria, in asymptomatic athletes before and after the completion of a long-distance triathlon. ResultsOf 99 ECGs obtained prior to the race, 28 were abnormal, for a pre-race prevalence of 28.3% (95% CI (20.4, 37.8)). Of the 72 ECGs post-race, 12 were abnormal, for a post-race prevalence of 16.7% (95% CI (9.8, 26.9)). We did not observe any athletes with marked repolarization abnormalities. Common findings were increased QRS voltage significant for left ventricular hypertrophy (LVH) (24 (24.2%) pre-race, 10 (14.1%) post-race), early repolarization (21 (21.2%) pre-race, 19 (26.8%) post-race) and incomplete right bundle branch block (RBBB) (8 (8.1%) pre-race, 11 (15.5%) post-race). McNemars test showed no agreement between the ECG pre and post results (Chi-square =6.54, p = 0.01), suggesting a possible effect of the race on ECG findings. We observed a trend to normalization of athletes ECGs with acute exercise. ConclusionLong-distance endurance exercise might acutely affect the ECGs findings in asymptomatic athletes and abnormal ECG findings were common in our cohort of athletes. Physicians providing care to long-distance athletes should interpret ECGs in this population prudently. SUMMARY BOXO_LIThe acute effect of exercises on athletes electrocardiograms has not been well studied. C_LIO_LIIn our cohort of long-distance triathlon finishers, 28.3% of athletes had abnormal ECGs pre-race and 16.7% had abnormal ECGs post-race according to the Seattle Criteria. We observed a trend toward normalization of athletes ECGs with acute exercise. C_LIO_LICommon ECGs abnormalities found in those asymptomatic athletes were left ventricular hypertrophy, early repolarization and right bundle branch block. C_LIO_LIPhysicians involved in the care of athletes should be prudent when interpreting ECGs in this population. C_LI
10.1002/tsm2.134
medrxiv
10.1101/19001024
Disease overarching mechanisms that explain and predict outcome of patients with high cardiovascular risk: rationale and design of the Berlin Long-term Observation of Vascular Events (BeLOVE) study
Bob Siegerink; Joachim Weber; Michael Ahmadi; Kai-Uwe Eckardt; Frank Edelmann; Matthias Endres; Holger Gerhardt; Katrin Haubold; Norbert Hübner; Ulf Landmesser; david Leistner; Knut Mai; Dominik N. N. Müller; Burkert Pieske; Geraldine Rauch; Sein Schmidt; Kai Schmidt-Ott; Jeanette Schulz-Menger; Joachim Spranger; Tobias Pischon
Tobias Pischon
Berlin Institute of Health (BIH) & German Center for Cardiovascular Research (DZHK) & Charité Universitätsmedizin & Max-Delbrück Center for Molecular Medicine i
2019-06-27
1
null
cc_by_nc
cardiovascular medicine
https://www.medrxiv.org/content/early/2019/06/27/19001024.source.xml
BackgroundCardiovascular disease (CVD) is the leading cause of premature death worldwide. Effective and individualized treatment requires exact knowledge about both risk factors and risk estimation. Most evidence for risk prediction currently comes from population-based studies on first incident cardiovascular events. In contrast, little is known about the relevance of risk factors for the outcome of patients with established CVD or those who are at high risk of CVD, including patients with type 2 diabetes. In addition, most studies focus on individual diseases, whereas less is known about disease overarching risk factors and cross-over risk. AimThe aim of BeLOVE is to improve short- and long-term prediction and mechanistic understanding of cardiovascular disease progression and outcomes in very high-risk patients, both in the acute as well as in the chronic phase, in order to provide the basis for improved, individualized management. Study designBeLOVE is an observational prospective cohort study of patients of both sexes aged >18 in selected Berlin hospitals, who have a high risk of future cardiovascular events, including patients with a history of acute coronary syndrome (ACS), acute stroke (AS), acute heart failure (AHF), acute kidney injury (AKI) or type 2 diabetes with manifest target-organ damage. BeLOVE includes 2 subcohorts: The acute subcohort includes 6500 patients with ACS, AS, AHF, or AKI within 2-8 days after their qualifying event, who undergo a structured interview about medical history as well as blood sample collection. The chronic subcohort includes 6000 patients with ACS, AS, AHF, or AKI 90 days after event, and patients with type 2 diabetes (T2DM) and target-organ damage. These patients undergo a 6-8 hour deep phenotyping program, including detailed clinical phenotyping from a cardiological, neurological and metabolic perspective, questionnaires including patient-reported outcome measures (PROMs)as well as magnetic resonance imaging. Several biological samples are collected (i.e. blood, urine, saliva, stool) with blood samples collected in a fasting state, as well as after a metabolic challenge (either nutritional or cardiopulmonary exercise stress test). Ascertainment of major adverse cardiovascular events (MACE) will be performed in all patients using a combination of active and passive follow-up procedures, such as on-site visits (if applicable), telephone interviews, review of medical charts, and links to local health authorities. Additional phenotyping visits are planned at 2, 5 and 10 years after inclusion into the chronic subcohort. Future perspectiveBeLOVE provides a unique opportunity to study both the short- and long-term disease course of patients at high cardiovascular risk through innovative and extensive deep phenotyping. Moreover, the unique study design provides opportunities for acute and post-acute inclusion and allows us to derive two non-nested yet overlapping sub-cohorts, tailored for upcoming research questions. Thereby, we aim to study disease-overarching research questions, to understand crossover risk, and to find similarities and differences between clinical phenotypes of patients at high cardiovascular risk.
null
medrxiv
10.1101/19001024
Disease overarching mechanisms that explain and predict outcome of patients with high cardiovascular risk: rationale and design of the Berlin Long-term Observation of Vascular Events (BeLOVE) study
Siegerink, B.; Weber, J.; Ahmadi, M.; Eckardt, K.-U.; Edelmann, F.; Endres, M.; Gerhardt, H.; Haubold, K.; Hübner, N.; Landmesser, U.; Leistner, D.; Mai, K.; Müller, D. N.; Pieske, B.; Rauch, G.; Schmidt, S.; Schmidt-Ott, K. M.; Schulz-Menger, J.; Spranger, J.; Pischon, T.
Tobias Pischon
Berlin Institute of Health (BIH) & German Center for Cardiovascular Research (DZHK) & Charité Universitätsmedizin & Max-Delbrück Center for Molecular Medicine i
2019-07-15
2
PUBLISHAHEADOFPRINT
cc_by_nc
cardiovascular medicine
https://www.medrxiv.org/content/early/2019/07/15/19001024.source.xml
BackgroundCardiovascular disease (CVD) is the leading cause of premature death worldwide. Effective and individualized treatment requires exact knowledge about both risk factors and risk estimation. Most evidence for risk prediction currently comes from population-based studies on first incident cardiovascular events. In contrast, little is known about the relevance of risk factors for the outcome of patients with established CVD or those who are at high risk of CVD, including patients with type 2 diabetes. In addition, most studies focus on individual diseases, whereas less is known about disease overarching risk factors and cross-over risk. AimThe aim of BeLOVE is to improve short- and long-term prediction and mechanistic understanding of cardiovascular disease progression and outcomes in very high-risk patients, both in the acute as well as in the chronic phase, in order to provide the basis for improved, individualized management. Study designBeLOVE is an observational prospective cohort study of patients of both sexes aged >18 in selected Berlin hospitals, who have a high risk of future cardiovascular events, including patients with a history of acute coronary syndrome (ACS), acute stroke (AS), acute heart failure (AHF), acute kidney injury (AKI) or type 2 diabetes with manifest target-organ damage. BeLOVE includes 2 subcohorts: The acute subcohort includes 6500 patients with ACS, AS, AHF, or AKI within 2-8 days after their qualifying event, who undergo a structured interview about medical history as well as blood sample collection. The chronic subcohort includes 6000 patients with ACS, AS, AHF, or AKI 90 days after event, and patients with type 2 diabetes (T2DM) and target-organ damage. These patients undergo a 6-8 hour deep phenotyping program, including detailed clinical phenotyping from a cardiological, neurological and metabolic perspective, questionnaires including patient-reported outcome measures (PROMs)as well as magnetic resonance imaging. Several biological samples are collected (i.e. blood, urine, saliva, stool) with blood samples collected in a fasting state, as well as after a metabolic challenge (either nutritional or cardiopulmonary exercise stress test). Ascertainment of major adverse cardiovascular events (MACE) will be performed in all patients using a combination of active and passive follow-up procedures, such as on-site visits (if applicable), telephone interviews, review of medical charts, and links to local health authorities. Additional phenotyping visits are planned at 2, 5 and 10 years after inclusion into the chronic subcohort. Future perspectiveBeLOVE provides a unique opportunity to study both the short- and long-term disease course of patients at high cardiovascular risk through innovative and extensive deep phenotyping. Moreover, the unique study design provides opportunities for acute and post-acute inclusion and allows us to derive two non-nested yet overlapping sub-cohorts, tailored for upcoming research questions. Thereby, we aim to study disease-overarching research questions, to understand crossover risk, and to find similarities and differences between clinical phenotypes of patients at high cardiovascular risk.
null
medrxiv
10.1101/19000786
Nutritional Supplementation during Pulmonary Rehabilitation in COPD: A Systematic Review
Abdulelah Aldhahir; John Hurst; Swapna Mandal; Ahmed Alrajeh; Yousef Aldabayan; Jaber Alqahtani; Salifu Drammeh; Vanitha Subbu
Abdulelah Aldhahir
University College London
2019-06-28
1
null
cc_by_nc_nd
nutrition
https://www.medrxiv.org/content/early/2019/06/28/19000786.source.xml
BackgroundUptake of nutritional supplementation during pulmonary rehabilitation (PR) for people with chronic obstructive pulmonary disease (COPD) has been limited by an absence of rigorous evidence-based studies supporting use. Our objective were to report and summarise the current evidence supporting use of nutritional supplementation to improve outcomes during pulmonary rehabilitation in stable COPD patients. MethodsA systematic search was conducted up to May 7th, 2019 (registration number CRD42018089142). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used. Six databases were included: Medical Literature Analysis and Retrieval System Online or MEDLARS Online (Medline), Allied and Complementary Medicine Database (AMED), the Cochrane Database of Systematic Reviews, Excerpta Medica dataBASE (Embase), Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Web of Science. ResultsThis systematic search generated 580 initial matches, of which 24 studies (1035 COPD participants) met the pre-specified criteria and were included. Our analysis does not confirm an impact of nutritional supplementation during PR, but studies, supplements and PR programmes were heterogeneous in nature. ConclusionThere is currently insufficient evidence on the effect of nutritional supplementation on improving outcomes during PR in patients with COPD. Therefore, controversy remains and further research is needed.
10.1177/1479973120904953
medrxiv
10.1101/19000661
Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels
Dona M. Kanavy; Shannon M. McNulty; Meera K. Jairath; Sarah E. Brnich; Chris Bizon; Bradford C. Powell; Jonathan S. Berg
Jonathan S. Berg
University of North Carolina at Chapel Hill
2019-06-28
1
null
cc_by_nc_nd
genetic and genomic medicine
https://www.medrxiv.org/content/early/2019/06/28/19000661.source.xml
BackgroundThe 2015 American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP) guidelines for clinical sequence variant interpretation state that "well-established" functional studies can be used as evidence in variant classification. These guidelines articulated key attributes of functional data, including that assays should reflect the biological environment and be analytically sound; however, details of how to evaluate these attributes were left to expert judgment. The Clinical Genome Resource (ClinGen) designates Variant Curation Expert Panels (VCEPs) in specific disease areas to make gene-centric specifications to the ACMG/AMP guidelines, including more specific definitions of appropriate functional assays. We set out to evaluate the existing VCEP guidelines for functional assays. MethodsWe evaluated the functional criteria (PS3/BS3) of six VCEPs (CDH1, Hearing Loss, Inherited Cardiomyopathy-MYH7, PAH, PTEN, RASopathy). We then established criteria for evaluating functional studies based on disease mechanism, general class of assay, and the characteristics of specific assay instances described in primary literature. Using these criteria, we extensively curated assay instances cited by each VCEP in their pilot variant classification to analyze VCEP recommendations and their use in the interpretation of functional studies. ResultsUnsurprisingly, our analysis highlighted the breadth of VCEP-approved assays, reflecting the diversity of disease mechanisms among VCEPs. We also noted substantial variability between VCEPs in the method used to select these assays and in the approach used to specify strength modifications, as well as differences in suggested validation parameters. Importantly, we observed discrepancies between the parameters VCEPs specified as required for approved assay instances and the fulfillment of these requirements in the individual assays cited in pilot variant interpretation. ConclusionsInterpretation of the intricacies of functional assays often requires expert-level knowledge of the gene and disease and current VCEP recommendations for functional assay evidence are a useful tool to improve the accessibility of functional data. However, our analysis suggests that further guidance is needed to standardize this process and ensure consistency in the application of functional evidence.
10.1186/s13073-019-0683-1
medrxiv
10.1101/19000521
Association of puberty timing with Type 2 diabetes: Systematic review and meta-analysis
Tuck Seng Cheng; Felix R. Day; Rajalakshmi Lakshman; Ken K. Ong
Tuck Seng Cheng
University of Cambridge
2019-06-28
1
null
cc_by_nc_nd
epidemiology
https://www.medrxiv.org/content/early/2019/06/28/19000521.source.xml
OBJECTIVEWe aimed to systematically review published evidence on the association between puberty timing and Type 2 diabetes or impaired glucose tolerance (T2D/IGT), with and without adjustment for adiposity, and to estimate its potential contribution to the burden of T2D. RESEARCH DESIGN AND METHODSWe searched PubMed, Medline and Embase databases for publications until February 2019 on the timing of any secondary sexual characteristic in boys or girls in relation to T2D/IGT. Inverse-weighted random-effects meta-analysis was used to pool reported estimates and meta-regression to explore sources of heterogeneity. RESULTSTwenty eight observational studies were identified. All assessed age at menarche (AAM) in women (combined N=1,228,306); only one study additionally included men. In models without adjustment for adult adiposity, T2D/IGT risk was higher per year earlier AAM (relative risk (RR)=0.91, 95% confidence interval (CI)=0.89-0.93, 11 estimates, n=833,529, I2=85.4%) and for early versus later menarche (RR=1.41, 95% CI=1.28-1.55, 23 estimates, n=1,185,444, I2=87.8%). Associations were weaker but still evident in models adjusted for adiposity (AAM: RR=0.97 per year, 95% CI=0.95-0.98, 12 estimates, n=852,268, I2=51.8%; early menarche: RR=1.19, 95% CI=1.11-1.28, 21 estimates, n=890,583, I2=68.1%). Associations were stronger among Caucasians than Asians, and in populations with earlier average AAM. The estimated population attributable risk of T2D in UK Caucasians due to early menarche, unadjusted and adjusted for adiposity, was 12.6% (95% CI=11.0-14.3) and 5.1% (95% CI=3.6-6.7), respectively. CONCLUSIONSA substantial proportion of T2D in women is attributable to early menarche timing. This will increase in light of global secular trends towards earlier puberty timing.
10.1371/journal.pmed.1003017
medrxiv
10.1101/19001123
Epigenetic prediction of major depressive disorder
Miruna C Barbu; Rosie M Walker; David M Howard; Kathryn L Evans; Heather C Whalley; David J Porteous; Stewart W Morris; Ian J Deary; Riccardo E Marioni; Toni-Kim Clarke; Andrew M McIntosh
Andrew M McIntosh
University of Edinburgh
2019-06-28
1
null
cc_by
psychiatry and clinical psychology
https://www.medrxiv.org/content/early/2019/06/28/19001123.source.xml
ObjectiveDNA methylation (DNAm) is associated with environmental risk factors for major depressive disorder (MDD) but has not yet been tested for its ability to discriminate individuals with MDD from unaffected individuals. MethodsUsing penalized regression based on genome-wide CpG methylation, we trained a DNAm risk score of MDD (DNAm-RS) in 1,223 cases and 1,824 controls and tested in a second independent sample of 363 prevalent cases and 1,417 controls. Using DNA from 1,607 unaffected individuals, we tested whether DNAm-RS could discriminate the 190 incident cases of lifetime MDD from the 1,417 individuals who remained unaffected at follow-up. ResultsA weighted linear combination of 196 CpG sites were derived from the training sample to form a DNAm-RS. The DNAm-RS explained 1.75% of the variance in MDD risk in an independent case-control sample and significantly predicted future incident episodes of MDD at follow up (R2=0.52%). DNAm-RS and MDD polygenic risk scores together additively explained 3.99% of the variance in prevalent MDD. The DNAm-RS was also significantly associated with lifestyle factors associated with MDD, including smoking status ({beta}=0.440, p=<2x10-16) and alcohol use ({beta}=0.092, p=9.85x10-5). The DNAm-RS remained significantly associated with MDD after adjustment for these environmental factors (independent association: {beta}=0.338, p=1.17x10-7 association post-adjustment: {beta}=0.081, p=0.0006). ConclusionsA novel risk score of MDD based on DNAm data significantly discriminated MDD cases from controls in an independent dataset, and controls who would subsequently develop MDD from those who remained unaffected. DNAm-RS captured the effects of exposure to key lifestyle risk factors for MDD, revealing a potential role in risk stratification.
10.1038/s41380-020-0808-3
medrxiv
10.1101/19001115
Forecasting the impact of population ageing on tuberculosis incidence
Chu-Chang Ku; Peter J Dodd
Chu-Chang Ku
School of Health and Related Research, University of Sheffield
2019-06-28
1
null
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/06/28/19001115.source.xml
BackgroundTuberculosis (TB) disease reactivates from distant latent infection or recent (re)infection. Progression risks increase with age. Across the World Health Organisation Western Pacific region, many populations are ageing and have the highest per capita TB incidence rates in older age groups. However, methods for analysing age-specific TB incidence and forecasting epidemic trends while accounting for demographic change remain limited. MethodsWe applied the Lee-Carter models, which were originally developed for mortality modelling, to model the temporal trends in age-specific TB incidence data from 2005 to 2018 in Taiwan. Females and males were modelled separately. We combined our demographic forecasts, and age-specific TB incidence forecasts to project TB incidence until 2035. We compared TB incidence projections with demography fixed in 2018 to projections accounting for demographic change. ResultsOur models quantified increasing incidence rates with age and declining temporal trends. By 2035, the forecast suggests that the TB incidence rate in Taiwan will decrease by 54% (95% Prediction Interval (PI): 45%-59%) compared to 2015, while most age-specific incidence rates will reduce by more than 60%. In 2035, adults aged 65 and above will make up 78% of incident TB cases. Forecast TB incidence in 2035 accounting for demographic change will be 39% (95% PI: 36%-42%) higher than without population ageing. ConclusionsAge-specific incidence forecasts coupled with demographic forecasts can inform the impact of population ageing on TB epidemics. The TB control programme in Taiwan should develop plans specific to older age groups and their care needs.
10.1371/journal.pone.0222937
medrxiv
10.1101/19001008
Current characteristics and outcomes of Cytomegalovirus Reactivation in kidney transplant seropositive recipients in the era of prophylaxis treatment. Lesson from single Moroccan center experience.
REZZOUK, B.; Bouattar, T.; Belkadi, B.; Razine, R.; Bayahia, R.; Ouzeddoun, N.; Benamar, L.; Rhou, H.; Bouihat, N.; Ibrahimi, A.; Seffar, M.; Kabbaj, H.
Bouchra REZZOUK
Laboratory of Microbiology and Molecular Biology, Faculty of Science, University Mohammed V, Rabat, Morocco.
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
infectious diseases
https://www.medrxiv.org/content/early/2019/06/28/19001008.source.xml
Despite the use of antiviral prophylaxis, the active cytomegalovirus (CMV) replication is still occurred in the seropositive kidney recipients. The aim of this study was to assess the incidence of CMV reactivation and potential risk factors associated with CMV disease. Data of sixty kidney transplant recipients who had received CMV prophylaxis were obtained between 2013 and 2017. Quantitative nucleic acid amplification testing for CMV viraemia was assessed using Abbott RealTime Polymerase Chain Reaction (PCR). Among the seropositive recipients, cumulative incidence for reactivation was 63%. In patients with quantitative viraemia, the time of active replication was significantly lower compared to those with detectable viraemia (141.5 {+/-} 96.9 vs 294.1 {+/-} 112.6 days, P < 0.001). During prophylactic treatment, 46.7% of patients with quantifiable viraemia had experienced active replication and none among patients with detectable viraemia (P= 0.017). Importantly, symptomatic reactivation was significantly observed in the younger patients with higher peak viraemia compared to those with symptoms free (28.8 {+/-} 5.12 vs. 38.1 {+/-} 12.34 years, P= 0.007) and 3.8 {+/-} 1.59 vs. 2.4 {+/-} 0. 79 log10IU/ml, P = 0.003, respectively). Furthermore, the median duration of viraemia (21.2, vs. 13.4 days, P= 0.028) and period of CMV therapy (24.3 vs 12.3 days, P <0.001) were significantly longer for this group. In addition, intercurrent infections (75% vs. 23%, P = 0.028) and acute rejection (50 % vs 0%, P = 0.003) were significantly more frequent in symptomatic reactivation group. In addition, peak viral load was a potential risk factor for development of symptomatic reactivation with odds ratio 3.39, 95%CI=1.21-9.53, P = 0.02). In conclusion, CMV reactivation remains serious problem for seropositive recipients who were expected to be on antiviral prophylaxis. Patients with high level of viraemia may be at an increased risk of progression to CMV disease and adverse outcomes.
10.2147/trrm.s278655
medrxiv
10.1101/19001016
Medication errors during simulated paediatric resuscitations: a prospective, observational human reliability analysis
Appelbaum, N.; Clarke, J.; Feather, C.; Franklin, B.; Sinha, R.; Pratt, P.; Maconochie, I.; Darzi, A.
Calandra Feather
NIHR-Imperial Patient Safety Translational Research Centre, Imperial College London
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by
pediatrics
https://www.medrxiv.org/content/early/2019/06/28/19001016.source.xml
IntroductionMedication errors during paediatric resuscitation are thought to be common. However, there is little evidence about the individual process steps that contribute to such medication errors in this context. ObjectivesTo describe the incidence, nature and severity of medication errors in simulated paediatric resuscitations, and to employ human reliability analysis to understand the contributory role of individual process step discrepancies to these errors. MethodsWe conducted a prospective observational study of simulated resuscitations subject to video micro-analysis, identification of medication errors, severity assessment and human reliability analysis in a large English teaching hospital. Fifteen resuscitation teams of two doctors and two nurses each conducted one of two simulated paediatric resuscitation scenarios. ResultsAt least one medication error was observed in every simulated case, and a large magnitude or clinically significant error in 11 of 15 cases. Medication errors were observed in 29% of 180 simulated medication administrations, 40% of which considered to be moderate or severe. These errors were the result of 884 observed discrepancies at a number of steps in the drug ordering, preparation and administration stages of medication use, 8% of which made a major contribution to a resultant medication error. Most errors were introduced by discrepancies during drug preparation and administration. ConclusionsMedication errors were common with a considerable proportion likely to result in patient harm. There is an urgent need to optimise existing systems and to commission research into new approaches to increase the reliability of human interactions during administration of medication in the paediatric emergency setting. Strengths and limitations of this studyO_LIThis study is one of the first to use HRA methods to link task discrepancies with resultant medication errors, as well as to link these discrepancies directly to potential harm. This effort has demonstrated that a significant fraction of the burden of error in the paediatric emergency drug administration process originates during the preparation and administration phase and that most of these errors are likely to be undetected in clinical practice. C_LIO_LIThis study was subject to a number of limitations. Although we went to considerable lengths to replicate the paediatric emergency environment, the simulation environment cannot truly reflect the clinical environment during a genuine emergency. C_LIO_LIFurthermore, this study was conducted at a single site and participants were not blinded to the purpose of the study, so it is potentially subject to preparation bias. C_LIO_LIParticipants were recruited from the paediatric emergency unit, intensive care unit and general paediatrics ward and had variable experience of emergency cases. However, all participants worked in clinical units that manage critically ill children. C_LI
10.1136/bmjopen-2019-032686
medrxiv
10.1101/19001016
Medication errors during simulated paediatric resuscitations: a prospective, observational human reliability analysis
Appelbaum, N.; Clarke, J.; Feather, C.; Dean Franklin, B.; Sinha, R.; Pratt, P.; Maconochie, I.; Darzi, A.
Calandra Feather
NIHR-Imperial Patient Safety Translational Research Centre, Imperial College London
2019-08-02
2
PUBLISHAHEADOFPRINT
cc_by
pediatrics
https://www.medrxiv.org/content/early/2019/08/02/19001016.source.xml
IntroductionMedication errors during paediatric resuscitation are thought to be common. However, there is little evidence about the individual process steps that contribute to such medication errors in this context. ObjectivesTo describe the incidence, nature and severity of medication errors in simulated paediatric resuscitations, and to employ human reliability analysis to understand the contributory role of individual process step discrepancies to these errors. MethodsWe conducted a prospective observational study of simulated resuscitations subject to video micro-analysis, identification of medication errors, severity assessment and human reliability analysis in a large English teaching hospital. Fifteen resuscitation teams of two doctors and two nurses each conducted one of two simulated paediatric resuscitation scenarios. ResultsAt least one medication error was observed in every simulated case, and a large magnitude or clinically significant error in 11 of 15 cases. Medication errors were observed in 29% of 180 simulated medication administrations, 40% of which considered to be moderate or severe. These errors were the result of 884 observed discrepancies at a number of steps in the drug ordering, preparation and administration stages of medication use, 8% of which made a major contribution to a resultant medication error. Most errors were introduced by discrepancies during drug preparation and administration. ConclusionsMedication errors were common with a considerable proportion likely to result in patient harm. There is an urgent need to optimise existing systems and to commission research into new approaches to increase the reliability of human interactions during administration of medication in the paediatric emergency setting. Strengths and limitations of this studyO_LIThis study is one of the first to use HRA methods to link task discrepancies with resultant medication errors, as well as to link these discrepancies directly to potential harm. This effort has demonstrated that a significant fraction of the burden of error in the paediatric emergency drug administration process originates during the preparation and administration phase and that most of these errors are likely to be undetected in clinical practice. C_LIO_LIThis study was subject to a number of limitations. Although we went to considerable lengths to replicate the paediatric emergency environment, the simulation environment cannot truly reflect the clinical environment during a genuine emergency. C_LIO_LIFurthermore, this study was conducted at a single site and participants were not blinded to the purpose of the study, so it is potentially subject to preparation bias. C_LIO_LIParticipants were recruited from the paediatric emergency unit, intensive care unit and general paediatrics ward and had variable experience of emergency cases. However, all participants worked in clinical units that manage critically ill children. C_LI
10.1136/bmjopen-2019-032686
medrxiv
10.1101/19000422
The nature of clusters of multimorbid patients in the UK: a latent class analysis.
Zhu, Y.; Edwards, D.; Payne, R. A.; Kiddle, S.
Yajing Zhu
MRC Biostatistics Unit, University of Cambridge
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/06/28/19000422.source.xml
BackgroundMultimorbidity is one of the principal challenges facing health systems worldwide. To help understand the changes to services and policies that are required to deliver better care, we used a novel approach to investigate which diseases co-occur and how combinations are associated with mortality and service use. MethodsLinked primary and secondary care electronic health records contributed by 382 general practices in England to the Clinical Practice Research Datalink (CPRD) were used. The study included a representative set of multimorbid adults (18 years old or more) with two or more long-term conditions (N=113,211). A random set of 80% of the multimorbid patients (N=90,571) were stratified by age and clustered using latent class analysis. Consistency between obtained disease profiles, classification quality and associations with demographic characteristics and primary outcomes (hospitalisation, polypharmacy and mortality) was validated in the remaining 20% of multimorbid patients (N=22,640). FindingsWe identified twenty patient clusters across four age strata. The clusters with the highest mortality comprised psychoactive substance and alcohol misuse (aged 18-64), coronary heart disease, depression and pain (aged 65-84) and coronary heart disease, heart failure and atrial fibrillation (aged 85+). The clusters with the highest service use coincided with those with highest mortality for people aged over 65. For people aged 18-64, the cluster with the highest service use comprised depression, anxiety and pain. The majority of 85+ year olds multimorbid patients belonged to the cluster with the lowest service use and mortality for that age range. Pain featured in thirteen clusters. InterpretationThis work has highlighted patterns of multimorbidity that have implications for health services. These include the importance of psychoactive substance and alcohol misuse in people under the age of 65; of co-morbid depression and coronary heart disease in people aged 65-84, and of cardiovascular disease in people aged 85+. FundingUK Medical Research Council Research in contextO_ST_ABSEvidence before this studyC_ST_ABSWe searched PubMed using the keyword list "multimorbidity, co-morbidity, disease patterns, clusters, service use, long-term conditions, chronic conditions" for studies published in English. We also reviewed multiple systematic reviews of multimorbidity patterns, and the policy report of multimorbidity research issued by the Academy of Medical Sciences in 2018. Most studies have focused on older populations (aged 60+) and often used a small list of long-term conditions. Multimorbidity clusters composed of more than two conditions have not been well profiled mostly due to non-representative and small samples. There is substantial heterogeneity in the number of conditions considered (often less than 20) and in the statistical methods. Most studies focused on grouping diseases rather than patients, making it less straightforward to relate patients to outcomes in order to facilitate patient-centred care. Added value of this studyThis study is the first to describe and validate clusters of multimorbid patients across the adult lifecourse using a patient-centred probabilistic clustering approach. This leads to a more nuanced understanding of the relationship between age, multimorbidity and mortality and new insights into the importance of different clusters. For example, contrary to perceived wisdom, we show that the majority of 85+ year old multimorbid patients belong to a cluster with relatively low service use and mortality for that age group. We identify a cluster of younger multimorbid patients with psychoactive substance misuse that have a mortality rate 18 times higher than their non-multimorbid peers. Implications of all the available evidenceWe have validated and added to the list of disease combinations where tailored approaches could be attempted to better manage multimorbid patients and develop effective interventions. For example, the high mortality of younger multimorbid patients with psychoactive substance misuse might be reduced by addressing risk factors (e.g. drug use, smoking, deprivation) which are amenable to intervention.
10.1016/S0140-6736(19)32899-5
medrxiv
10.1101/19000422
Characteristics, service use and mortality of clusters of multimorbid patients in England: a population-based study
Zhu, Y.; Edwards, D.; Mant, J.; Payne, R. A.; Kiddle, S.
Yajing Zhu
MRC Biostatistics Unit, University of Cambridge
2019-12-02
2
PUBLISHAHEADOFPRINT
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/12/02/19000422.source.xml
BackgroundMultimorbidity is one of the principal challenges facing health systems worldwide. To help understand the changes to services and policies that are required to deliver better care, we used a novel approach to investigate which diseases co-occur and how combinations are associated with mortality and service use. MethodsLinked primary and secondary care electronic health records contributed by 382 general practices in England to the Clinical Practice Research Datalink (CPRD) were used. The study included a representative set of multimorbid adults (18 years old or more) with two or more long-term conditions (N=113,211). A random set of 80% of the multimorbid patients (N=90,571) were stratified by age and clustered using latent class analysis. Consistency between obtained disease profiles, classification quality and associations with demographic characteristics and primary outcomes (hospitalisation, polypharmacy and mortality) was validated in the remaining 20% of multimorbid patients (N=22,640). FindingsWe identified twenty patient clusters across four age strata. The clusters with the highest mortality comprised psychoactive substance and alcohol misuse (aged 18-64), coronary heart disease, depression and pain (aged 65-84) and coronary heart disease, heart failure and atrial fibrillation (aged 85+). The clusters with the highest service use coincided with those with highest mortality for people aged over 65. For people aged 18-64, the cluster with the highest service use comprised depression, anxiety and pain. The majority of 85+ year olds multimorbid patients belonged to the cluster with the lowest service use and mortality for that age range. Pain featured in thirteen clusters. InterpretationThis work has highlighted patterns of multimorbidity that have implications for health services. These include the importance of psychoactive substance and alcohol misuse in people under the age of 65; of co-morbid depression and coronary heart disease in people aged 65-84, and of cardiovascular disease in people aged 85+. FundingUK Medical Research Council Research in contextO_ST_ABSEvidence before this studyC_ST_ABSWe searched PubMed using the keyword list "multimorbidity, co-morbidity, disease patterns, clusters, service use, long-term conditions, chronic conditions" for studies published in English. We also reviewed multiple systematic reviews of multimorbidity patterns, and the policy report of multimorbidity research issued by the Academy of Medical Sciences in 2018. Most studies have focused on older populations (aged 60+) and often used a small list of long-term conditions. Multimorbidity clusters composed of more than two conditions have not been well profiled mostly due to non-representative and small samples. There is substantial heterogeneity in the number of conditions considered (often less than 20) and in the statistical methods. Most studies focused on grouping diseases rather than patients, making it less straightforward to relate patients to outcomes in order to facilitate patient-centred care. Added value of this studyThis study is the first to describe and validate clusters of multimorbid patients across the adult lifecourse using a patient-centred probabilistic clustering approach. This leads to a more nuanced understanding of the relationship between age, multimorbidity and mortality and new insights into the importance of different clusters. For example, contrary to perceived wisdom, we show that the majority of 85+ year old multimorbid patients belong to a cluster with relatively low service use and mortality for that age group. We identify a cluster of younger multimorbid patients with psychoactive substance misuse that have a mortality rate 18 times higher than their non-multimorbid peers. Implications of all the available evidenceWe have validated and added to the list of disease combinations where tailored approaches could be attempted to better manage multimorbid patients and develop effective interventions. For example, the high mortality of younger multimorbid patients with psychoactive substance misuse might be reduced by addressing risk factors (e.g. drug use, smoking, deprivation) which are amenable to intervention.
10.1016/S0140-6736(19)32899-5
medrxiv
10.1101/19000646
Big Five Personality Traits Influence Tinnitus Improvement Over Time
Simoes, J. P.; Schlee, W.; Schecklmann, M.; Langguth, B.; Farahmand, D.; Neff, P.
Jorge Piano Simoes
University of Regensburg
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
psychiatry and clinical psychology
https://www.medrxiv.org/content/early/2019/06/28/19000646.source.xml
Previous studies investigating the relation between personality and tinnitus distress showed that high neuroticism and low extraversion scores are related to higher tinnitus distress measured by the Tinnitus Handicap Inventory (THI) and the Tinnitus Questionnaire (TQ). However, little is known about the role of personality on tinnitus distress over time. We collected the THI, TQ and Big Five Factor Index 2 of 388 patients who visited the Tinnitus Center Regensburg between 2012 and 2017, and filled in a survey with the same questionnaires in 2018. We used personality traits and facets to predict tinnitus distress cross-sectionally and longitudinally. Neuroticism and extraversion were significant predictors of THI and TQ scores in cross-sectional linear regression setups, and could explain up to 40% of the variance. However, the linear regressions could explain only little variance of both THI and TQ longitudinally. We clustered patients in three groups based in the difference THI and TQ between the two assessments: "clinically improved", "clinically stable" and "clinically worsened". The patients in the "clinically improved" and "clinically stable" groups scored statistically significantly lower in neuroticism and higher in extraversion than patients in the group "clinically worsened". We observed a similar trend among patients who tried at least one clinical treatment. Our results suggest that personality traits, namely neuroticism and extraversion, are relevant markers of tinnitus distress over time and could be used to statistically distinguish patient groups with clinically relevant changes of tinnitus distress. These markers could inform both treatment responses from clinical studies and future choices on more efficient individual tinnitus treatments.
10.1038/s41598-019-53845-4
medrxiv
10.1101/19000190
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Screening
Septiandri, A. A.; Aditiawarman, A.; Tjiong, R.; Burhan, E.; Shankar, A. H.
Ali Akbar Septiandri
Inovasi Sehat Indonesia
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
health informatics
https://www.medrxiv.org/content/early/2019/06/28/19000190.source.xml
Active screening for Tuberculosis (TB) is needed to optimize detection and treatment. However, current algorithms for verbal screening perform poorly, causing misclassification that leads to missed cases and unnecessary and costly laboratory tests for false positives. We investigated the role of machine learning to improve the predefined one-size-fits-all algorithm used for scoring the verbal screening questionnaire. We present a cost-sensitive machine learning classification for mass tuberculosis screening. We compared score-based classification defined by clinicians to machine learning classification such as SVM-RBF, logistic regression, and XGBoost. We restricted our analyses to data from adults, the population most affected by TB, and investigated the difference between untuned and unweighted classifiers to the cost-sensitive ones. Predictions were compared with the corresponding GeneXpert MTB/Rif results. After adjusting the weight of the positive class to 40 for XGBoost, we achieved 96.64% sensitivity and 35.06% specificity. As such, sensitivity of our identifier increased by 1.26% while specificity increased by 13.19% in absolute value compared to the traditional score-based method defined by our clinicians. Our approach further demonstrated that only 2000 data points were sufficient to enable the model to converge. Our results indicate that even with limited data we can actually devise a better method to identify TB suspects from verbal screening. This approach may be a stepping stone towards more effective TB case identification, especially in primary health centres, and foster better detection and control of TB.
null
medrxiv
10.1101/19000554
Integrating Online Georeferenced Epidemiological Analysis and Visualization into a Telemedicine Infrastructure - First Results
von Wangenheim, A.; Savaris, A.; Borgatto, A. F.; Inacio, A. D. S.
Aldo von Wangenheim
Federal University of Santa Catarina - UFSC
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
health informatics
https://www.medrxiv.org/content/early/2019/06/28/19000554.source.xml
With the objective to perform a first evaluation of the impact of the integration of a graphic spatial epidemiology tool that allows quasi-realtime georeferenced data visualization into a telemedicine infrastructure, this work presents GISTelemed, an online module specialized on indexing structured and semi-structured data, as well as querying the indexed content using structured and free-text search. We evaluated GISTelemed accordingly to the guidelines published by the US Centers for Disease Control and Prevention and input provided by a questionnaire customized according to AdEQUATE (questionnAire for Evaluation of QUAlity in TElemedicine systems). 39 healthcare professionals from 13 municipalities participated in the evaluation. We analyzed data from questionnaires using descriptive statistics, being Lernability and Comfort the characteristics that received the best evaluation. Quantitative evaluation based upon leprosis cases detected through tele-dermatology showed a sensitivity and PPV of respectively 77.2% and 95.3%. 22.8% of the cases detected were un-notified cases. Results from our case study show a good evaluation regarding the perceived software quality". We conclude that the integration of spatial epidemiology tools to the STT/SC system, besides enabling visualization of data in maps, allowed users to analyze the evolution of morbidities and their co-occurrences.
null
medrxiv
10.1101/19000570
Maternal Mortality and Women's Political Participation
Bhalotra, S. R.; Clarke, D.; Gomes, J.; Venkataramani, A. S.
Atheendar S Venkataramani
University of Pennsylvania
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_no
health policy
https://www.medrxiv.org/content/early/2019/06/28/19000570.source.xml
We show that large declines in maternal mortality can be achieved by raising womens political participation. We estimate that the recent wave of quotas for women in parliament in low income countries has resulted in a 9 to 12% decline in maternal mortality. Among mechanisms are that gender quotas lead to an 8 to 10% increase in skilled birth attendance, a 6 to 12% increase in prenatal care utilization and a 4 to 11% decrease in birth rates. JEL codesI14, I15, O15.
null
medrxiv
10.1101/19000844
An acute bleomycin inflammatory and fibrotic mouse model of morphea is dependent upon CXCL9 and CXCR3
Richmond, J. M.; Patel, D.; Watanabe, T.; Garelli, C.; Garg, M.; Dresser, K.; Deng, A.; Feghali-Bostwick, C. A.; Harris, J. E.; Jacobe, H. T.
Heidi T Jacobe
University of Texas Southwestern Medical Center
2019-06-28
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
dermatology
https://www.medrxiv.org/content/early/2019/06/28/19000844.source.xml
Morphea, or localized scleroderma, is characterized by an inflammatory phase followed by cutaneous fibrosis, which may lead to disfigurement and/or disability. Previous work from our group showed that the CXCR3 ligands CXCL9 and CXCL10 are highly upregulated in lesional skin of morphea patients. Here, we used an acute inflammatory and fibrotic bleomycin mouse model of morphea to examine the role of the CXCR3 chemokine axis in pathogenesis. We first characterized which cells produce the CXCR3 ligands in the skin using the Reporter of Expression of CXCR3 ligands mouse (REX3). We found that fibroblasts contribute the bulk of CXCL9 and CXCL10, whereas endothelial cells are key dual chemokine producers. Macrophages, which have high MFI of chemokine expression, upregulated CXCL9 production over time, fibroblasts CXCL10 production, and T cells dual chemokine expression. To determine whether bleomycin treatment could directly induce expression of these chemokines, we treated cultured REX3 mouse dermis monolayers in vitro with bleomycin or IFN{gamma} with TNF and found that bleomycin could induce low amounts of CXCL9 directly in fibroblasts, whereas the cytokines were required for optimal CXCL9 and CXCL10 production. To determine whether these chemokines are mechanistically involved in pathogenesis, we induced fibrosis in CXCL9, CXCL10, or CXCR3 deficient mice and found that fibrosis is dependent on CXCL9 and CXCR3. Addition of recombinant CXCL9, but not CXCL10, to cultured mouse fibroblasts induces collagen 1a1 mRNA expression, indicating the chemokine itself can contribute to fibrosis. Taken together, our studies provide evidence that acute intradermal bleomycin administration in mice can model inflammatory morphea, and that CXCL9 and its receptor CXCR3 are mechanistically involved in pathogenesis. One Sentence SummaryCXCL9 drives acute morphea pathogenesis in mice.
10.1016/j.jid.2022.11.025
medrxiv
10.1101/19000851
SEXUAL BEHAVIOURS AND EXPERIENCE OF SEXUAL COERCION AMONG IN-SCHOOL FEMALE ADOLESCENT IN SOUTHWESTERN NIGERIA
Owolodun, B. S.; Sanusi, R. A.
Babatunde Samuel Owolodun
University of Ibadan
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
public and global health
https://www.medrxiv.org/content/early/2019/07/03/19000851.source.xml
Most people begin their sexual relationship during adolescence and some get involved in risky life threatening behaviors such as unwanted pregnancies, abortions and sexually transmitted infections. This study was therefore designed to understand the patterns of female adolescents sexual behaviours and sexual coercion experience. A descriptive cross-sectional study was carried out among 1227 in-school adolescents in the three senatorial district of Osun State, Southwestern Nigeria. Multi-stage sampling technique was used to select the respondents, and data were collected with pre-tested, semi-structured questionnaires. The data collected were analysed using Statistical Package for Social Sciences (SPSS version 21). Three hundred and thirty seven (27.5%) were sexually exposed with a mean age of sexual initiation of 14.88{+/-}2. 46 years. Of the 337 that were sexually exposed 153(56.5%) initiated sex early between the ages of 10-15 years, while (4.7%) had uses drugs or take alcohol before sexual intercourse. Findings revealed that of those that were sexually exposed, 122(11%) were forced to have sex, 101(9.1%) played sex willingly, while 29(2.6%) felt threatened and 3(0.3%) were convinced with money. The proportion of the respondent who reported rape and abduction was (2.6%). Finding from this study is consistent with earlier studies conducted in many other Nigerian cities which showed that in-school adolescents to be sexually active. There is the need to step up campaigns to address this noticed lapse in behavior among the students in order to arrest the usual consequences of such risky sexual behavior.
null
medrxiv
10.1101/19000711
Robotic middle ear access for cochlear implantation: first in man
Caversaccio, M.; Wimmer, W.; Anso, J.; Mantokoudis, G.; Gerber, N.; Rathgeb, C.; Schneider, D.; Hermann, J.; Wagner, F.; Scheidegger, O.; Huth, M.; Anschuetz, L.; Kompis, M.; Williamson, T.; Bell, B.; Gavaghan, K.; Weber, S.
Wilhelm Wimmer
Department of Otorhinolaryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
otolaryngology
https://www.medrxiv.org/content/early/2019/07/03/19000711.source.xml
To demonstrate the feasibility of robotic middle ear access in a clinical setting, nine adult patients with severe-to-profound hearing loss indicated for cochlear implantation were included in this clinical trial. A keyhole access tunnel to the tympanic cavity and targeting the round window was planned based on preoperatively acquired computed tomography image data and robotically drilled to the level of the facial recess. Intraoperative imaging was performed to confirm sufficient distance of the drilling trajectory to relevant anatomy. Robotic drilling continued toward the round window. The cochlear access was manually created by the surgeon. Electrode arrays were inserted through the keyhole tunnel under microscopic supervision via a tympanomeatal flap. All patients were successfully implanted with a cochlear implant. In 9 of 9 patients the robotic drilling was planned and performed to the level of the facial recess. In 3 patients, the procedure was reverted to a conventional approach for safety reasons. No change in facial nerve function compared to baseline measurements was observed. Robotic keyhole access for cochlear implantation is feasible. Further improvements to workflow complexity, duration of surgery, and usability including safety assessments are required to enable wider adoption of the procedure.
10.1371/journal.pone.0220543
medrxiv
10.1101/19000307
Framework for rational donor selection in fecal microbiota transplant clinical trials
Duvallet, C.; Zellmer, C.; Panchal, P.; Budree, S.; Osman, M.; Alm, E.
Eric Alm
Massachusetts Institute of Technology
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by
gastroenterology
https://www.medrxiv.org/content/early/2019/07/03/19000307.source.xml
Early clinical successes are driving enthusiasm for fecal microbiota transplantation (FMT), the transfer of healthy gut bacteria through whole stool, as emerging research is linking the microbiome to many different diseases. However, preliminary trials have yielded mixed results and suggest that heterogeneity in donor stool may play a role in patient response. Thus, clinical trials may fail because an ineffective donor was chosen rather than because FMT is not appropriate for the indication. Here, we describe a conceptual framework to guide rational donor selection to increase the likelihood that FMT clinical trials will succeed. We argue that the mechanism by which the microbiome is hypothesized to be associated with a given indication should inform how healthy donors are selected for FMT trials, categorizing these mechanisms into four disease models and presenting associated donor selection strategies. We next walk through examples based on previously published FMT trials and ongoing investigations to illustrate how donor selection might occur in practice. Finally, we show that typical FMT trials are not powered to discover individual taxa mediating patient responses, suggesting that clinicians should develop targeted hypotheses for retrospective analyses and design their clinical trials accordingly. Moving forward, developing and applying novel clinical trial design methodologies like rational donor selection will be necessary to ensure that FMT successfully translates into clinical impact.
10.1371/journal.pone.0222881
medrxiv
10.1101/19000307
Framework for rational donor selection in fecal microbiota transplant clinical trials
Duvallet, C.; Zellmer, C.; Panchal, P.; Budree, S.; Osman, M.; Alm, E.
Eric Alm
Massachusetts Institute of Technology
2019-09-26
2
PUBLISHAHEADOFPRINT
cc_by
gastroenterology
https://www.medrxiv.org/content/early/2019/09/26/19000307.source.xml
Early clinical successes are driving enthusiasm for fecal microbiota transplantation (FMT), the transfer of healthy gut bacteria through whole stool, as emerging research is linking the microbiome to many different diseases. However, preliminary trials have yielded mixed results and suggest that heterogeneity in donor stool may play a role in patient response. Thus, clinical trials may fail because an ineffective donor was chosen rather than because FMT is not appropriate for the indication. Here, we describe a conceptual framework to guide rational donor selection to increase the likelihood that FMT clinical trials will succeed. We argue that the mechanism by which the microbiome is hypothesized to be associated with a given indication should inform how healthy donors are selected for FMT trials, categorizing these mechanisms into four disease models and presenting associated donor selection strategies. We next walk through examples based on previously published FMT trials and ongoing investigations to illustrate how donor selection might occur in practice. Finally, we show that typical FMT trials are not powered to discover individual taxa mediating patient responses, suggesting that clinicians should develop targeted hypotheses for retrospective analyses and design their clinical trials accordingly. Moving forward, developing and applying novel clinical trial design methodologies like rational donor selection will be necessary to ensure that FMT successfully translates into clinical impact.
10.1371/journal.pone.0222881
medrxiv
10.1101/19000414
The effectiveness of digital technology interventions to reduce loneliness in adult people: A protocol for a systematic review and meta-analysis
Shah, S. G. S.; Nogueras, D.; van Woerden, H. C.; Kiparoglou, V.
Syed Ghulam Sarwar Shah
NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by
public and global health
https://www.medrxiv.org/content/early/2019/07/03/19000414.source.xml
IntroductionLoneliness is an emerging public health problem, which is associated with social, emotional, mental and physical health issues. The application of digital technology (DT) interventions to reduce loneliness has increased in recent years. The effectiveness of DT interventions needs to be assessed systematically. Methods and analysisO_ST_ABSAimC_ST_ABSTo undertake a systematic review and meta-analysis on the effectiveness of digital technology interventions to reduce loneliness among adult people. Designsystematic review and meta-analysis. Data sourcesFive leading online bibliographic databases: PubMed, Medline, CINAHL, EMBASE, and Web of Science. Publication period1 January 2010 to 30 April 2019. Inclusion criteriaPrimary studies involving the application of digital technology interventions to reduce loneliness, involving adult participants (aged 18 years and more) and published in the English language. Search strategyLiterature searches using a priory list of keywords, involvement of two independent researchers in article screening, short listing and data extraction using a predefined template based on the population, intervention(s), comparator(s) and outcome(s) (PICO) framework. Synthesis and meta-analysisA narrative summary of the characteristics of included studies, findings by the type of DT intervention, and the age, gender and ethnicity of participants. A meta-analysis by the type of DT intervention and determination of effect sizes. Quality of evidence and biasQuality of evidence assessed the RoB 2.0 (revised tool for Risk of Bias in randomized trials) and ROBINS-I (Risk Of Bias in Non-randomized Studies - of Interventions) tools for randomized control trials and non-randomized studies respectively. Heterogeneity between studies determined by the I2 and Cochrans Q statistics and publication bias checked with funnel plots and the Eggers test. Patients and public involvementNone Ethics and disseminationEthics approval was not required for writing this protocol. The findings will be disseminated through the publication of research articles and conference presentations. PROSPERO Registration NumberCRD42019131524. Article SummaryO_ST_ABSStrengths and limitations of this studyC_ST_ABSO_LIThe main strength of this study includes a systematic assessment of evidence on the effectiveness of digital technology interventions to reduce loneliness, which is imperative from the health and social care and public health perspectives. C_LIO_LIAnother strength of the study is the involvement of two independent researchers (and a third researcher as an arbitrator) involved in the identification, screening, inclusion and extraction of on a predefined template using the PICO framework. C_LIO_LILimitations may include missing identification of additional relevant studies due to the application of selection filters such as the publication years and English as the publication language. C_LI
10.1136/bmjopen-2019-032455
medrxiv
10.1101/19000281
LncRNA and predictive model for improving the diagnosis of clinically diagnosed pulmonary tuberculosis
Hu, X.; Zhang, J.; Liao, S.; Bai, H.; Gupta, S.; Zhou, Y.; Zhou, J.; Wu, Q.; Meng, Z.; Jiao, L.; Wu, L.; Wang, M.; Chen, X.; Zhou, Y.; Lu, X.; Zhang, Z.; Ying, B.
Binwu Ying
Department of Laboratory Medicine, West China Hospital, Sichuan University
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
infectious diseases
https://www.medrxiv.org/content/early/2019/07/03/19000281.source.xml
BackgroundClinically diagnosed pulmonary tuberculosis (PTB) patients lack Mycobacterium tuberculosis (MTB) microbiologic evidence, and misdiagnosis or delayed diagnosis often occurs as a consequence. We investigated the potential of lncRNAs and corresponding predictive models to diagnose these patients. MethodsWe enrolled 1372 subjects, including clinically diagnosed PTB patients, non-TB disease controls and healthy controls, in three cohorts (Screening, Selection and Validation). Candidate lncRNAs differentially expressed in blood samples of the PTB and healthy control groups were identified by microarray and qRT-PCR in the Screening Cohort. Logistic regression models were developed using lncRNAs and/or electronic health records (EHRs) from clinically diagnosed PTB patients and non-TB disease controls in the Selection Cohort. These models were evaluated by AUC and decision curve analysis, and the optimal model was presented as a Web-based nomogram, which was evaluated in the Validation Cohort. The biological function of lncRNAs was interrogated using ELISA, lactate dehydrogenase release analysis and flow cytometry. ResultsThree differentially expressed lncRNAs (ENST00000497872, n333737, n335265) were identified. The optimal model (i.e., nomogram) incorporated these three lncRNAs and six EHR variables (age, hemoglobin, weight loss, low-grade fever, CT calcification and TB-IGRA). The nomogram showed an AUC of 0.89, sensitivity of 0.86 and specificity of 0.82 in the Validation Cohort, which demonstrated better discrimination and clinical net benefit than the EHR model. ENST00000497872 may regulate inflammatory cytokine production, cell death and apoptosis during MTB infection. ConclusionLncRNAs and the user-friendly nomogram could facilitate the early identification of PTB cases among suspected patients with negative MTB microbiologic evidence. Key MessagesO_ST_ABSWhat is the key question?C_ST_ABSDoes integrating immune-related lncRNA signatures and electronic health records (EHRs) promote the early identification of PTB patients who are symptomatic but lack microbiologic evidence of Mycobacterium tuberculosis (MTB)? What is the bottom line?We found three long non-coding RNAs (lncRNAs), i.e., ENST00000497872, n333737 and n335265, were potential diagnostic biomarkers for clinically diagnosed PTB patients; and we further developed and validated a novel nomogram incorporating these three lncRNAs and six electronic health records (EHRs), which were readily obtainable even in a resource-constrained setting and achieved a c-statistic of 0.89, sensitivity of 0.86 and specificity of 0.82 in a separate validation cohort. Why read on?This study focuses on the challenge of accurately diagnosing PTB patients with negative MTB microbiological evidence and serves as the first proof-of-concept that integrating lncRNA signatures and EHR data could be a more promising diagnostic approach for clinically diagnosed PTB patients. SUMMARYThis study developed and validated a novel nomogram that incorporated three lncRNAs and six EHR fields could be a useful predictive tool in identifying PTB patients who lack MTB microbiologic evidence.
10.1128/jcm.01973-19
medrxiv
10.1101/19000281
LncRNA and predictive model for improving the diagnosis of clinically diagnosed pulmonary tuberculosis
Hu, X.; Chen, H.; Liao, S.; Bai, H.; Gupta, S.; Zhou, Y.; Zhou, J.; Jiao, L.; Wu, L.; Wang, M.; Chen, X.; Zhou, Y.; Lu, X.; Hu, T. Y.; Zhang, Z.; Ying, B.
Binwu Ying
Department of Laboratory Medicine, West China Hospital, Sichuan University
2019-11-05
2
PUBLISHAHEADOFPRINT
cc_by_nc_nd
infectious diseases
https://www.medrxiv.org/content/early/2019/11/05/19000281.source.xml
BackgroundClinically diagnosed pulmonary tuberculosis (PTB) patients lack Mycobacterium tuberculosis (MTB) microbiologic evidence, and misdiagnosis or delayed diagnosis often occurs as a consequence. We investigated the potential of lncRNAs and corresponding predictive models to diagnose these patients. MethodsWe enrolled 1372 subjects, including clinically diagnosed PTB patients, non-TB disease controls and healthy controls, in three cohorts (Screening, Selection and Validation). Candidate lncRNAs differentially expressed in blood samples of the PTB and healthy control groups were identified by microarray and qRT-PCR in the Screening Cohort. Logistic regression models were developed using lncRNAs and/or electronic health records (EHRs) from clinically diagnosed PTB patients and non-TB disease controls in the Selection Cohort. These models were evaluated by AUC and decision curve analysis, and the optimal model was presented as a Web-based nomogram, which was evaluated in the Validation Cohort. The biological function of lncRNAs was interrogated using ELISA, lactate dehydrogenase release analysis and flow cytometry. ResultsThree differentially expressed lncRNAs (ENST00000497872, n333737, n335265) were identified. The optimal model (i.e., nomogram) incorporated these three lncRNAs and six EHR variables (age, hemoglobin, weight loss, low-grade fever, CT calcification and TB-IGRA). The nomogram showed an AUC of 0.89, sensitivity of 0.86 and specificity of 0.82 in the Validation Cohort, which demonstrated better discrimination and clinical net benefit than the EHR model. ENST00000497872 may regulate inflammatory cytokine production, cell death and apoptosis during MTB infection. ConclusionLncRNAs and the user-friendly nomogram could facilitate the early identification of PTB cases among suspected patients with negative MTB microbiologic evidence. Key MessagesO_ST_ABSWhat is the key question?C_ST_ABSDoes integrating immune-related lncRNA signatures and electronic health records (EHRs) promote the early identification of PTB patients who are symptomatic but lack microbiologic evidence of Mycobacterium tuberculosis (MTB)? What is the bottom line?We found three long non-coding RNAs (lncRNAs), i.e., ENST00000497872, n333737 and n335265, were potential diagnostic biomarkers for clinically diagnosed PTB patients; and we further developed and validated a novel nomogram incorporating these three lncRNAs and six electronic health records (EHRs), which were readily obtainable even in a resource-constrained setting and achieved a c-statistic of 0.89, sensitivity of 0.86 and specificity of 0.82 in a separate validation cohort. Why read on?This study focuses on the challenge of accurately diagnosing PTB patients with negative MTB microbiological evidence and serves as the first proof-of-concept that integrating lncRNA signatures and EHR data could be a more promising diagnostic approach for clinically diagnosed PTB patients. SUMMARYThis study developed and validated a novel nomogram that incorporated three lncRNAs and six EHR fields could be a useful predictive tool in identifying PTB patients who lack MTB microbiologic evidence.
10.1128/jcm.01973-19
medrxiv
10.1101/19000927
Acceleration of chemical shift encoding-based water fat MRI for liver proton density fat fraction and T2* mapping using compressed sensing
Lohoefer, F. K.; Kaissis, G. A.; Mueller-Leisse, C.; Franz, D.; Katemann, C.; Hock, A.; Peeters, J. M.; Rummeny, E. J.; Karampinos, D.; Braren, R.
Rickmer Braren
TU Muenchen, Institute for diagnostic and interventional Radiology
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_no
radiology and imaging
https://www.medrxiv.org/content/early/2019/07/03/19000927.source.xml
ObjectivesTo evaluate proton density fat fraction (PDFF) and T2* measurements of the liver with combined parallel imaging (sensitivity encoding, SENSE) and compressed sensing (CS) accelerated chemical shift encoding-based water-fat separation. MethodsSix-echo Dixon imaging was performed in the liver of 89 subjects. The first acquisition variant used acceleration based on SENSE with a total acceleration factor equal to 2.64 (acquisition labeled as SENSE). The second acquisition variant used acceleration based on a combination of CS with SENSE with a total acceleration factor equal to 4 (acquisition labeled as CS+SENSE). Acquisition times were compared between acquisitions and proton density fat fraction (PDFF) and T2*-values were measured and compared separately for each liver segment. ResultsTotal scan duration was 14.5 sec for the SENSE accelerated image acquisition and 9.3 sec for the CS+SENSE accelerated image acquisition. PDFF and T2* values did not differ significantly between the two acquisitions (paired Mann-Whitney and paired t-test P>0.05 in all cases). CS+SENSE accelerated acquisition showed reduced motion artifacts (1.1%) compared to SENSE acquisition (12.3%). ConclusionCS+SENSE accelerates liver PDFF and T2*mapping while retaining the same quantitative values as an acquisition using only SENSE and reduces motion artifacts. Strengths of this studyO_LICompressed sensing allows accelerated imaging with reduction of motion artifacts without alteration of quantitative measurements C_LIO_LIRobust results in fat and iron quantification in a heterogeneous patient cohort C_LI Limitations of this studyO_LINo histopathological validation of the MR findings was performed C_LIO_LIThe study was not performed at different field strengths C_LI
10.1371/journal.pone.0224988
medrxiv
10.1101/19001149
Aerobic capacity predicts skeletal but not cardiac muscle damage after a full distance Ironman triathlon - the Iron(wo)man-study
Danielsson, T.; Carlsson, J.; Ten Siethoff, L.; Ahnesjo, J.; Bergman, P.
Patrick Bergman
Linnaeus University
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
sports medicine
https://www.medrxiv.org/content/early/2019/07/03/19001149.source.xml
PurposeThis study examines the association between aerobic capacity and biomarkers of skeletal- and cardiac muscle damage among amateur triathletes after a full distance Ironman. MethodsMen and women (N=55) were recruited from local sport clubs. One month before an Iron-man triathlon, they conducted a 20m shuttle run test to determine aerobic capacity. Blood samples were taken immediately after finishing the triathlon, and analyzed for biomarkers of cardiac- and skeletal muscle damage. Regression models examining the association between aerobic capacity expressed in both relative terms (mLO2*kg-1*min-1) and absolute terms (LO2*min-1) controlled for weight and were fitted. ResultA total of 39 subjects (26% females) had complete data and were included in the analysis. No association between aerobic capacity and cardiac muscle damage but a significant negative association between aerobic capacity and skeletal muscle damage was observed. This association was independent of how aerobic capacity was expressed, although the model with aerobic capacity expressed in absolute terms and controlled for weight resulted in slightly higher r2 values, than when aerobic capacity was expressed in relative terms. ConclusionA negative association between aerobic capacity and skeletal muscle damage was seen but despite the well-known cardio-protective health effect of high aerobic fitness no such association could be observed in this study.
10.1038/s41598-020-57842-w
medrxiv
10.1101/19001073
Machine learning to predict early recurrence after oesophageal cancer surgery
Rahman, S.; Walker, R. C.; LLoyd, M. A.; Grace, B. L.; van Boxel, G. I.; Kingma, F. B.; Ruurda, J. P.; van Hillegersberg, R.; Harris, S.; Parsons, S.; Mercer, S.; Griffiths, E. A.; O'Neill, J. R.; Turkington, R.; Fitzgerald, R.; Underwood, T. J.; OCCAMS Consortium,
Timothy J Underwood
Cancer Sciences Unit, University of Southampton, Southampton, UK
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_no
surgery
https://www.medrxiv.org/content/early/2019/07/03/19001073.source.xml
ObjectiveTo develop a predictive model for early recurrence after surgery for oesophageal adenocarcinoma using a large multi-national cohort. Summary Background DataEarly cancer recurrence after oesophagectomy is a common problem with an incidence of 20-30% despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. Machine learning techniques potentially allow more accurate prognostication and have been applied in this study. MethodsConsecutive patients who underwent oesophagectomy for adenocarcinoma and had neoadjuvant treatment in 6 UK and 1 Dutch oesophago-gastric units were analysed. Using clinical characteristics and post-operative histopathology, models were generated using elastic net regression (ELR) and the machine learning methods random forest (RF) and XG boost (XGB). Finally, a combined (Ensemble) model of these was generated. The relative importance of factors to outcome was calculated as a percentage contribution to the model. ResultsIn total 812 patients were included. The recurrence rate at less than 1 year was 29.1%. All of the models demonstrated good discrimination. Internally validated AUCs were similar, with the Ensemble model performing best (ELR=0.785, RF=0.789, XGB=0.794, Ensemble=0.806). Performance was similar when using internal-external validation (validation across sites, Ensemble AUC=0.804). In the final model the most important variables were number of positive lymph nodes (25.7%) and vascular invasion (16.9%). ConclusionsThe derived model using machine learning approaches and an international dataset provided excellent performance in quantifying the risk of early recurrence after surgery and will be useful in prognostication for clinicians and patients. DRAFT VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/19001073v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1d0693corg.highwire.dtl.DTLVardef@1acea40org.highwire.dtl.DTLVardef@1472e5borg.highwire.dtl.DTLVardef@34841a_HPS_FORMAT_FIGEXP M_FIG C_FIG Icons taken from www.flaticon.com, made by Freepik, smashicons, and prettycons. Reproduced under creative commons attribution license MINI-ABSTRACTEarly recurrence after surgery for adenocarcinoma of the oesophagus is common. We derived a risk prediction model using modern machine learning methods that accurately predicts risk of early recurrence using post-operative pathology
10.1002/bjs.11461
medrxiv
10.1101/19001222
Predicting Residual Function in Hemodialysis and Hemodiafiltration : A Population Kinetic, Decision Analytic Approach
Achakzai, M.; Argyropoulos, C.; Roumelioti, M. - E.
Christos Argyropoulos
Department of Internal Medicine, Division of Nephrology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
nephrology
https://www.medrxiv.org/content/early/2019/07/03/19001222.source.xml
In this study, we introduce a novel framework for the estimation of residual renal function (RRF), based on the population compartmental kinetic behavior of Beta 2 Microglobulin (B2M) and its dialytic removal. Using this model, we simulated a large cohort of patients with various levels of RRF receiving either conventional high-flux hemodialysis or on-line hemodiafiltration. These simulations were used to estimate a novel population kinetic (PK) equation for RRF (PK-RRF) that was validated in an external public dataset of real patients. We assessed the performance of the resulting equation(s) against their ability to estimate urea clearance using cross-validation. Our equations derived entirely from computer simulations and advanced statistical modeling, and had extremely high discrimination (AUC 0.888 - 0.909) when applied to a human dataset of measurements of RRF. A clearance-based equation that utilized pre and post dialysis B2M measurements, patient weight, treatment duration and ultrafiltration had higher discrimination than an equation previously derived in humans. Furthermore, the derived equations appeared to have higher clinical usefulness as assessed by Decision Curve Analysis, potentially supporting decisions that for individualizing dialysis frequency in patients with preserved RRF.
10.3390/jcm8122080
medrxiv
10.1101/19001222
Predicting Residual Function in Hemodialysis and Hemodiafiltration : A Population Kinetic, Decision Analytic Approach
Achakzai, M.; Argyropoulos, C.; Roumelioti, M. - E.
Christos Argyropoulos
Department of Internal Medicine, Division of Nephrology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
2019-07-09
2
PUBLISHAHEADOFPRINT
cc_by_nc_nd
nephrology
https://www.medrxiv.org/content/early/2019/07/09/19001222.source.xml
In this study, we introduce a novel framework for the estimation of residual renal function (RRF), based on the population compartmental kinetic behavior of Beta 2 Microglobulin (B2M) and its dialytic removal. Using this model, we simulated a large cohort of patients with various levels of RRF receiving either conventional high-flux hemodialysis or on-line hemodiafiltration. These simulations were used to estimate a novel population kinetic (PK) equation for RRF (PK-RRF) that was validated in an external public dataset of real patients. We assessed the performance of the resulting equation(s) against their ability to estimate urea clearance using cross-validation. Our equations derived entirely from computer simulations and advanced statistical modeling, and had extremely high discrimination (AUC 0.888 - 0.909) when applied to a human dataset of measurements of RRF. A clearance-based equation that utilized pre and post dialysis B2M measurements, patient weight, treatment duration and ultrafiltration had higher discrimination than an equation previously derived in humans. Furthermore, the derived equations appeared to have higher clinical usefulness as assessed by Decision Curve Analysis, potentially supporting decisions that for individualizing dialysis frequency in patients with preserved RRF.
10.3390/jcm8122080
medrxiv
10.1101/19001362
The impact of involving young children in improving the understanding of a new eye test
Casanova, T.; Black, C.; Rafiq, S.; Hugill, J.; Read, J. C. A.; Vancleef, K.
Kathleen Vancleef
Newcastle University, University of Oxford
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by
ophthalmology
https://www.medrxiv.org/content/early/2019/07/03/19001362.source.xml
BackgroundAlthough considered important, the involvement of young children in research is rare and its impact has never been measured. We aim to provide a good practice example of involvement of young children in the development of a tablet-based 3D eye test or stereotest, ASTEROID. We focus on improving understanding of test instructions. MethodsAfter a pre-measure of understanding was taken, we explored issues with the test instructions in patient and public involvement (PPI) sessions. Feedback was collected via observations, rating scales and childrens comments. An interdisciplinary panel reviewed the feedback and decided on the implementation. Subsequently, a post-measure was collected. In Study 1, 650 children (2-11.8 years old) took part in the pre-measure, 111 children (1-12 years old) in the PPI sessions, and 52 children (4-6 years old) in the post-measure which also served as a pre-measure for Study 2. PPI sessions for Study 2 attracted 122 children (1-12 years old) and adults. 53 people (2-39 years old) participated in the post-measure of Study 2. ResultsFollowing feedback in Study 1, we added a frame cue and included a shuffle animation. This increased the percentage of correct practice trials from 76% to 97% (t(231)=14.29, p<.001). After adding a cardboard demo in Study 2, the percentage of correct trials remained stable but the number of additional instructions given decreased (t(103)=3.72, p<.001). ConclusionsOur study demonstrates impact of involvement of very young children in research through accessible activities. It can encourage researchers to involve young children and contribute to developing guidelines.
10.1186/s40900-020-00194-6
medrxiv
10.1101/19000877
A Needs Analysis of Parents Following Sudden Cardiac Death in the Young
McDonald, K.; Sharpe, L.; Yeates, L.; Semsarian, C.; Ingles, J.
Jodie Ingles
Centenary Institute, The University of Sydney
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_no
cardiovascular medicine
https://www.medrxiv.org/content/early/2019/07/03/19000877.source.xml
The sudden cardiac death (SCD) of a young person is a devastating event for any parent. Inherited heart disease is often either identified or assumed to be the cause. Few studies have explored the psychosocial impact to the surviving at-risk family members. We sought to investigate the needs of parents who have experienced the SCD of their child ([&le;]45 years). A quantitative needs analysis questionnaire was developed based on semi-structured interviews, including one focus group, and a review of relevant literature. There were 38 parents who completed a cross-sectional quantitative survey. Parents perceived needs for information and support spanned medical, psychosocial, spiritual and financial domains. Medical information and support needs were identified as the most important domains, followed by psychosocial, spiritual and financial information and support needs. Importantly, psychosocial information and support needs were reported as the most unmet need, endorsed by 54% of parents. Medical information and support needs were reported as unmet by almost one third of parents. The two most endorsed needs were "To have the option of whether or not you would pursue genetic testing for yourself or family members" and "To understand what happened". This work demonstrates for the first time, the multifactorial needs of parents after SCD in the young. With the greatest unmet need reported as psychosocial needs, there is clear necessity to find ways of integrating psychological support in to the care of families after SCD in the young. KEY QUESTIONSO_ST_ABSWhat is already known about this subject?C_ST_ABSThere is currently very little known about the needs of families following a sudden cardiac death due to inherited heart diseases. We know there is significant risk of poor psychological outcomes including posttraumatic stress and prolonged grief, even years after the death, however this is one of the first studies to formally evaluate the needs of parents during this time. What does this study add?We show that medical information and support needs are ranked very highly, but psychosocial support needs are the most unmet. Our findings provide a platform for developing an approach to delivering psychosocial support interventions in this population. How might this impact on clinical practice?Currently clinical and research efforts in this setting focus on clinical and genetic aspects of care. Here we show the critical need to also focus on the psychological care needs in this population. These data will help to guide services in integrating psychological support in to their multidisciplinary clinic models.
10.1136/openhrt-2019-001120
medrxiv
10.1101/19001321
Accuracy of ECG Chest Electrode Placements by Paramedics; an observational study
Gregory, P.; Lodge, S.; Kilner, T.; Paget, S.
Pete Gregory
University of Wolverhampton
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_no
emergency medicine
https://www.medrxiv.org/content/early/2019/07/03/19001321.source.xml
BackgroundThe use of the 12-lead ECG is common in UK paramedic practice but its value depends upon accurate placement of the ECG-electrodes. Several studies have shown widespread variation in the placement of chest electrodes by other health professionals but no studies have addressed the accuracy of paramedics. The main objective of this study was to ascertain the accuracy of the chest lead placements by registered paramedics. MethodsRegistered paramedics who attended the Emergency Services Show in Birmingham in September 2018 were invited to participate in this observational study. Participants were asked to place the chest electrodes on a male model in accordance with their current practice. Correct positioning was determined against the Society for Cardiological Science & Technologys Clinical Guidelines for recording a standard 12-lead electrocardiogram (2017) with a tolerance of 19mm being deemed acceptable based upon previous studies. Results52 eligible participants completed the study. Measurement of electrode placement in the craniocaudal and mediolateral planes showed a high level of inaccuracy with 3/52 (5.8%) participants able to accurately place all chest leads. In leads V1 - V3, the majority of incorrect placements were related to vertical displacement with most participants able to identify the correct horizontal position. In V4, the tendency was to place the lead too low and to the left of the pre-determined position whilst V5 tended to be below the expected positioning but in the correct horizontal alignment. There was a less defined pattern of error in V6 although vertical displacement was more likely than horizontal displacement. ConclusionsOur study identified a high level of variation in the placement of chest ECG electrodes which could alter the morphology of the ECG. From a patient safety perspective, we would advocate that paramedics leave the chest electrodes in situ to allow hospital staff to assess the accuracy of the placements. Key messagesWhat is already known on this subject O_LIThe recording of a prehospital ECG has become increasingly common in sophisticated Emergency Medical Services across the world C_LIO_LIThe accuracy of precordial ECG electrode placement has been studied with other health professionals and has highlighted varying degrees of accuracy. C_LIO_LIInaccurate electrode placement can lead to aberrant ECG readings and application of unnecessary treatment or the withholding of indicated treatment C_LI What this study adds O_LIIn this observational cohort study, we found significant variation in the placement of the precordial ECG electrodes by UK registered paramedics C_LIO_LIWe recommend that paramedics leave the prehospital ECG electrodes in situ to allow hospital staff to assess the accuracy of the placements. C_LI
10.29045/14784726.2019.12.4.3.51
medrxiv
10.1101/19000539
Health workers experiences of coping with the Ebola epidemic in the Democratic Republic of the Congo health system: a qualitative study of variables of hospital activities on infection control practices in Kinshasa city
Tshima, G. K.; Kalala, K. T.
Guyguy Kabundi Tshima
Universite de Kinshasa
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/07/03/19000539.source.xml
Health workers play an important role during epidemics, but there is limited research on hospital activities on infection control practices in the Democratic Republic of the Congo and how health workers can cope during a probable health epidemic in Kinshasa city. The determinants of the current Ebola Virus Disease in the geographical distribution remain poorly understood. The World Health Organizations Health Regulation Committee decided on Wednesday July 17th, 2019 to declare the Ebola haemorrhagic fever epidemic in the provinces of North Kivu and Ituri as a health emergency of international concern. The country struggles to control it against a backdrop of a health system that is already overburdened. To test the influence of the challenges of a contamination in the context of an Ebola outbreak that may face health workers and their coping strategies in thirteen hospitals of reference in Kinshasa, we conducted a survey hoping to educate or remember good practices for health workers in Kinshasa that is also available for health workers in the East Area of the country in which the ongoing Ebola outbreak progress is spreading (North Kivu and Ituri). For the ongoing outbreak, we obtained data from the Ministere de la Sante Publique of the Democratic Republic of the Congo where cases are classified as suspected, probable, or confirmed using national case definitions. We found that the ongoing Ebola virus outbreak in the Democratic Republic of the Congo has similar epidemiological features to previous Ebola virus disease outbreak in Sierra Leone that was well described. For the qualitative study about the biosecurity in thirteen hospitals of reference in Kinshasa, we found that the Bondeko-Ngaliema Monkole group has occupied the first rank, while the group Kintambo-King Baudouin-Ndjili-Makala occupied the other end of the scale; the other health facilities occupied an intermediate position. Among the 7 hospitals which were placed at the top of this classification of biosecurity, 5 were massively subsidized by international NGO, which explains to a great extent their performances in one hand, another hand finding its explanation in the quality of their management. It is the case of Bondeko, Monkole, Kalembe-Lembe, St Joseph and Kingasani 2. Author summaryThe determinants of the transmission are poorly understood, but a growing body of evidence supports an important role of the lack of prevention in the dissemination of Ebola virus. The results of our study conducted in 13 hospitals of reference in Kinshasa suggest that the biosecurity measures--which were introduced in Kinshasa hospitals policies through prevention since Ebola outbreaks--have been respected by 75% and had 25% of parameters to be improved. Biosecurity is an important concept; it seems to be a vector for the prevention of Ebola Virus Disease. In addition, the lack of biosecurity observation may have a role in the contamination of Ebola Virus Disease in local populations found in invaded areas. This study provides knowledge into the preventive measures influencing Ebola Virus Disease populations, thereby determining in perspective a study on meat consumption of animals found dead in forests that will be a risk for human infection as the Democratic Republic of the Congo has many forests.
null
medrxiv
10.1101/19000539
Show solidarity with the Congolese people in the 10th Ebola outbreak declared a health emergency of international concern: understand a qualitative study of variables of hospital activities on infection control practices in Kinshasa city
Tshima, G. K.; Kalala, K. T.
Guyguy Kabundi Tshima
Universite de Kinshasa
2019-07-23
2
PUBLISHAHEADOFPRINT
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/07/23/19000539.source.xml
Health workers play an important role during epidemics, but there is limited research on hospital activities on infection control practices in the Democratic Republic of the Congo and how health workers can cope during a probable health epidemic in Kinshasa city. The determinants of the current Ebola Virus Disease in the geographical distribution remain poorly understood. The World Health Organizations Health Regulation Committee decided on Wednesday July 17th, 2019 to declare the Ebola haemorrhagic fever epidemic in the provinces of North Kivu and Ituri as a health emergency of international concern. The country struggles to control it against a backdrop of a health system that is already overburdened. To test the influence of the challenges of a contamination in the context of an Ebola outbreak that may face health workers and their coping strategies in thirteen hospitals of reference in Kinshasa, we conducted a survey hoping to educate or remember good practices for health workers in Kinshasa that is also available for health workers in the East Area of the country in which the ongoing Ebola outbreak progress is spreading (North Kivu and Ituri). For the ongoing outbreak, we obtained data from the Ministere de la Sante Publique of the Democratic Republic of the Congo where cases are classified as suspected, probable, or confirmed using national case definitions. We found that the ongoing Ebola virus outbreak in the Democratic Republic of the Congo has similar epidemiological features to previous Ebola virus disease outbreak in Sierra Leone that was well described. For the qualitative study about the biosecurity in thirteen hospitals of reference in Kinshasa, we found that the Bondeko-Ngaliema Monkole group has occupied the first rank, while the group Kintambo-King Baudouin-Ndjili-Makala occupied the other end of the scale; the other health facilities occupied an intermediate position. Among the 7 hospitals which were placed at the top of this classification of biosecurity, 5 were massively subsidized by international NGO, which explains to a great extent their performances in one hand, another hand finding its explanation in the quality of their management. It is the case of Bondeko, Monkole, Kalembe-Lembe, St Joseph and Kingasani 2. Author summaryThe determinants of the transmission are poorly understood, but a growing body of evidence supports an important role of the lack of prevention in the dissemination of Ebola virus. The results of our study conducted in 13 hospitals of reference in Kinshasa suggest that the biosecurity measures--which were introduced in Kinshasa hospitals policies through prevention since Ebola outbreaks--have been respected by 75% and had 25% of parameters to be improved. Biosecurity is an important concept; it seems to be a vector for the prevention of Ebola Virus Disease. In addition, the lack of biosecurity observation may have a role in the contamination of Ebola Virus Disease in local populations found in invaded areas. This study provides knowledge into the preventive measures influencing Ebola Virus Disease populations, thereby determining in perspective a study on meat consumption of animals found dead in forests that will be a risk for human infection as the Democratic Republic of the Congo has many forests.
null
medrxiv
10.1101/19000968
Liver function tests and fibrosis scores in a rural population in Africa: estimation of the burden of disease and associated risk factors
O'Hara, G.; Mokaya, J.; Hau, J. P.; Downs, L. O.; McNaughton, A. L.; Karabarinde, A.; Asiki, G.; Seeley, J.; Matthews, P. C.; Newton, R.
Philippa C Matthews
Nuffield Department of Medicine, University of Oxford, Medawar Building for Pathogen Research, South Parks Road, Oxford OX1 3SY, UK
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_by
gastroenterology
https://www.medrxiv.org/content/early/2019/07/03/19000968.source.xml
IntroductionLiver disease is a major cause of morbidity and mortality in sub-Saharan Africa. However, its prevalence, distribution and aetiology have not been well characterised. We examined liver function tests (LFTs) and calculated liver fibrosis scores in a rural population in Uganda. MethodologyA cross-sectional survey of LFTs was undertaken in 2011 in a rural population cohort in South-Western Uganda. We classified abnormal LFTs based on reference ranges set in America and in Africa. We derived fibrosis scores (AST to Platelet Ratio Index, fibrosis-4, GGT to platelet ratio, red cell distribution width to platelet ratio, and S-index) to evaluate the potential prevalence of liver disease. We collected information about alcohol intake, and infection with HIV, HBV and HCV, to determine the contribution made by these factors to liver inflammation or fibrosis. ResultsData were available for 8,099 participants (median age 30 years; 56% female). The prevalence of HBV, HCV and HIV infection were 3%, 0.2% and 8%, respectively. The prevalence of abnormal LFTs was higher based on the American reference range compared to the African reference range (e.g. for AST 13% vs 3%, respectively). The prevalence of AST/ALT ratio >2 was 11%, suggestive of alcoholic hepatitis. The highest prevalence of fibrosis was suggested by the GPR score, with 24% of the population falling above the threshold for fibrosis. By multivariate analysis, elevated LFTs and fibrosis scores were most consistently associated with older age, male sex, being under-weight, infection with HIV or HBV, and alcohol consumption. Based on population attributable risk, the highest proportion of elevated fibrosis scores was associated with alcohol use (e.g. 64% of elevated S-index scores). ConclusionFurther work is required to determine normal reference ranges for LFTs in this setting, to evaluate the specificity and sensitivity of fibrosis scores, and to determine aetiology of liver disease. KEY FINDINGSO_ST_ABSWhat is already known?C_ST_ABSO_LILiver disease is not well characterised in many parts of sSA despite the high prevalence of chronic viral infections (HIV, HBV and HCV), and potential exposure to hepatotoxins including alcohol, aflatoxins and traditional herbal medicine. C_LIO_LINon-invasive blood tests for markers of fibrosis are relatively simple and offer a safe route to assess for liver fibrosis, however, their diagnostic accuracy is not well established in sSA. C_LIO_LIAppropriate reference ranges for LFTs are crucial for optimising the sensitivity and specificity of the detection of underlying liver disease. C_LI What are the new findings?O_LIThere is a disparity in the prevalence of abnormal LFTs in our study cohort when comparing two references ranges (American vs. local reference ranges). C_LIO_LIBased on GPR score, there is a high prevalence of liver fibrosis (almost 1 in 4 of this population) and elevated GPR score is associated with older age, male sex, being under-weight, infection with HIV or HBV, and alcohol consumption. C_LIO_LIAlcohol consumption accounted for 64% of abnormal S-index scores, 32% of elevated FIB-4 scores, and 19% of GPR abnormalities. C_LI What do the new findings imply?O_LIAppropriate reference ranges for LFTs are necessary to contribute to an understanding of the burden and aetiology of liver disease. C_LIO_LIAlcohol, HIV and HBV are risk factors for deranged LFTs and liver fibrosis, with alcohol making the most significant and striking contribution. C_LIO_LIFurther investigation is needed to determine other factors that contribute to liver disease in this setting. C_LI
10.1136/bmjopen-2019-032890
medrxiv
10.1101/19001255
A CALCIUM-RICH MULTI-MINERAL INTERVENTION TO MODULATE COLONIC MICROBIAL COMMUNITIES AND METABOLOMIC PROFILES IN HUMANS:Results from a 90-day trial
Aslam, M. N.; Bassis, C. M.; Bergin, I. L.; Knuver, K.; Zick, S.; Sen, A.; Turgeon, D. K.; Varani, J.
Muhammad N Aslam
University of Michigan Medical School
2019-07-03
1
PUBLISHAHEADOFPRINT
cc_no
gastroenterology
https://www.medrxiv.org/content/early/2019/07/03/19001255.source.xml
Aquamin, a calcium-, magnesium-, and multiple trace element-rich natural product has polyp prevention efficacy based on preclinical studies. The overall goal of this study was to determine the safety and tolerability of Aquamin when used as a dietary chemopreventative in humans. Additionally, we determined the effects of Aquamin on the colonic microbial community and attendant metabolomic profile. Thirty healthy male and female human participants were enrolled in a 90-day trial in which the effects of Aquamin (delivering 800 mg of calcium per day) were compared to those of calcium alone or placebo. Before and after the interventional period, colonic biopsies and stool specimens were obtained. All 30 participants completed the study without serious adverse events. There were no changes in liver function markers. Compared to pretreatment values, intervention with Aquamin led to a reduction in total bacterial DNA and a shift in the microbial community. Treatment with calcium alone also produced a decline in total bacteria, but smaller than seen with Aquamin, while no reduction was observed with placebo. In parallel with microbial changes, a reduction in bile acid levels and a slight increase in the level of the short chain fatty acid (SCFA) acetate in stool specimens from Aquamin-treated participants was noted. No change in bile acids or SCFAs was observed with calcium alone or placebo. We conclude from these studies that Aquamin is safe and tolerable in healthy human participants and may produce beneficial alterations in the colonic microbial community and the attendant metabolomic profile.
10.1158/1940-6207.CAPR-19-0325
medrxiv
10.1101/19000489
Misclassification of a whole genome sequence reference defined by the Human Microbiome Project: a detrimental carryover effect to microbiome studies
Bandoy, D. D. R.; Huang, B. C.; Weimer, B. C.
Bart C Weimer
UC Davis
2019-07-06
1
PUBLISHAHEADOFPRINT
cc_no
infectious diseases
https://www.medrxiv.org/content/early/2019/07/06/19000489.source.xml
Taxonomic classification is an essential step in the analysis of microbiome data that depends on a reference database of whole genome sequences. Taxonomic classifiers are built on established reference species, such as the Human Microbiome Project database, that is growing rapidly. While constructing a population wide pangenome of the bacterium Hungatella, we discovered that the Human Microbiome Project reference species Hungatella hathewayi (WAL 18680) was significantly different to other members of this genus. Specifically, the reference lacked the core genome as compared to the other members. Further analysis, using average nucleotide identity (ANI) and 16s rRNA comparisons, indicated that WAL18680 was misclassified as Hungatella. The error in classification is being amplified in the taxonomic classifiers and will have a compounding effect as microbiome analyses are done, resulting in inaccurate assignment of community members and will lead to fallacious conclusions and possibly treatment. As automated genome homology assessment expands for microbiome analysis, outbreak detection, and public health reliance on whole genomes increases this issue will likely occur at an increasing rate. These observations highlight the need for developing reference free methods for epidemiological investigation using whole genome sequences and the criticality of accurate reference databases.
null
medrxiv
10.1101/19001305
Using collaboration networks to identify authorship bias in meta-analyses
Moulin, T. C.; Amaral, O. B.
Thiago C Moulin
Uppsala University
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_by_nc
epidemiology
https://www.medrxiv.org/content/early/2019/07/08/19001305.source.xml
Meta-analytic methods are powerful resources to summarize the existing evidence concerning a given research question, and are widely used in many academic fields. However, meta-analyses can be vulnerable to various sources of bias, which should be considered to avoid inaccuracies. Many of these sources can be related to study authorship, as both methodological choices and researcher bias may lead to deviations in results between different research groups. In this work, we describe a method to objectively attribute study authorship within a given meta-analysis to different research groups by using graph cluster analysis of collaboration networks. We then provide empirical examples of how the research group of origin can impact effect size in distinct types of meta-analyses, demonstrating how non-independence between within-group results can bias effect size estimates if uncorrected. Finally, we show that multilevel random-effects models using research group as a level of analysis can be a simple tool for correcting biases related to study authorship.
10.1002/jrsm.1430
medrxiv
10.1101/19001305
Using collaboration networks to identify authorship bias in meta-analyses
Moulin, T. C.; Amaral, O. B.
Thiago C Moulin
Uppsala University
2019-12-16
2
PUBLISHAHEADOFPRINT
cc_by_nc
epidemiology
https://www.medrxiv.org/content/early/2019/12/16/19001305.source.xml
Meta-analytic methods are powerful resources to summarize the existing evidence concerning a given research question, and are widely used in many academic fields. However, meta-analyses can be vulnerable to various sources of bias, which should be considered to avoid inaccuracies. Many of these sources can be related to study authorship, as both methodological choices and researcher bias may lead to deviations in results between different research groups. In this work, we describe a method to objectively attribute study authorship within a given meta-analysis to different research groups by using graph cluster analysis of collaboration networks. We then provide empirical examples of how the research group of origin can impact effect size in distinct types of meta-analyses, demonstrating how non-independence between within-group results can bias effect size estimates if uncorrected. Finally, we show that multilevel random-effects models using research group as a level of analysis can be a simple tool for correcting biases related to study authorship.
10.1002/jrsm.1430
medrxiv
10.1101/19001230
The effect of the genetic liability to autism spectrum disorder on emotion recognition in young unaffected probands from a population-based cohort
Wendt, F. R.; Muniz Carvalho, C.; Gelernter, J.; Polimanti, R.
Renato Polimanti
Yale School of Medicine
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_no
psychiatry and clinical psychology
https://www.medrxiv.org/content/early/2019/07/08/19001230.source.xml
We investigated how ASD genetic risk relates to neurodevelopmental features (491 traits tested) via polygenic risk scoring (PRS) in 4,309 young non-ASD probands from the Philadelphia Neurodevelopmental Cohort. ASD PRS most strongly associated with the ability to correctly identify angry facial emotions in youths aged 11-17 years (R2=1.06%, p=1.38x10-7) and replicated similarly in older probands (>18 years) (R2=0.55%, p=0.036). The association in 11- to-17-year-old probands was independent of other psychiatric disorders, brain imaging phenotypes, and educational attainment. ASD PRS also associated with proband-reported emotionality and connectedness with others. The proband-reported irritability trait was highly correlated with angry facial emotion recognition (r2=0.159, p=2.74x10-5) but was independently associated with ASD PRS (R2=1.20%, p=1.18x10-4). Several informant-reported (i.e., typically mother-reported) traits were predicted by the probands ASD PRS, including duration of fear (R2=0.156%, p=0.001). These data indicate how genetic liability to ASD may influence neurodevelopment in the general population, especially the development of emotional intelligence.
10.1016/j.euroneuro.2019.08.213
medrxiv
10.1101/19001156
Intermittent Lactobacilli-containing Vaginal Probiotic or Metronidazole Use to Prevent Bacterial Vaginosis Recurrence: Safety and Preliminary Efficacy by Microscopy and Sequencing
van de Wijgert, J.; Verwijs, M. C.; Agaba, S. K.; Bronowski, C.; Mwambarangwe, L.; Uwineza, M.; Lievens, E.; Nivoliez, A.; Ravel, J.; Darby, A.
Janneke van de Wijgert
Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
sexual and reproductive health
https://www.medrxiv.org/content/early/2019/07/08/19001156.source.xml
Bacterial vaginosis (BV) is associated with HIV acquisition and adverse pregnancy outcomes. Recurrence after metronidazole treatment is high. HIV-negative, non-pregnant Rwandan BV patients were randomized to four groups (n=17/group) after seven-day oral metronidazole treatment: behavioral counseling only (control), or counseling plus intermittent use of oral metronidazole, Ecologic Femi+ vaginal capsule (containing multiple Lactobacillus and one Bifidobacterium species), or Gynophilus LP vaginal tablet (L. rhamnosus 35) for two months. Vaginal microbiota assessments at all visits included Gram stain Nugent scoring and 16S rRNA gene qPCR and HiSeq sequencing. All interventions were safe. BV (Nugent 7-10) incidence was 10.18 per person-year at risk in the control group, and lower in the metronidazole (1.41/person-year; p=0.004), Ecologic Femi+ (3.58/person-year; p=0.043), and Gynophilus LP groups (5.36/person-year; p=0.220). In mixed effects models adjusted for hormonal contraception/pregnancy, sexual risk-taking, and age, metronidazole and Ecologic Femi+ users, each compared to controls, had higher Lactobacillus and lower BV-anaerobes concentrations and/or relative abundances, and were less likely to have a dysbiotic vaginal microbiota type by sequencing. Inter-individual variability was high and effects disappeared soon after intervention cessation. Lactobacilli-based vaginal probiotics warrant further evaluation because, in contrast to antibiotics, they are not expected to negatively affect microbiota or cause antimicrobial resistance.
10.1038/s41598-020-60671-6
medrxiv
10.1101/19001537
Phenome-wide association study of TTR and RBP4 genes in 361,194 individuals reveals novel insights in the genetics of hereditary and senile systemic amyloidoses
De Lillo, A.; De Angelis, F.; Di Girolamo, M.; Luigetti, M.; Frusconi, S.; Manfellotto, D.; Fuciarelli, M.; Polimanti, R.
Renato Polimanti
Yale University
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_no
genetic and genomic medicine
https://www.medrxiv.org/content/early/2019/07/08/19001537.source.xml
Transthyretin (TTR) gene has a causal role in a hereditary form of amyloidosis (ATTRm) and is potentially involved in the risk of senile systemic amyloidosis (SSA). To understand the genetics of ATTRm and SSA, we conducted a phenome-wide association study of TTR gene in 361,194 participants of European descent testing coding and non-coding variants. Among the 382 clinically-relevant phenotypes tested, TTR non-coding variants were associated with 26 phenotypic traits after multiple testing correction. These included signs related to both ATTRm and SSA such as chronic ischaemic heart disease (rs140226130, p=2.00x10-6), heart failure (rs73956431, p=2.74x10-6), atrial fibrillation (rs10163755, p=4.63x10-6), dysphagia (rs2949506, p=3.95x10-6), intestine diseases (rs970866, p=7.14x10-6) and anxiety (rs554521234, p=8.85x10-6). Consistent results were observed for TTR disease-causing mutation Val122Ile (rs76992529) with respect to carpal tunnel syndrome (p=6.41x10-6) and mononeuropathies of upper limbs (p=1.22x10-5). Sex differences were also observed in line with ATTRm and SSA epidemiology. Additionally, we explored possible modifier genes related to TTR function, observing convergent associations of RBP4 variants with the clinical phenotypes associated with TTR locus. In conclusion, we provide novel insights regarding the molecular basis of ATTRm and SSA based on large-scale cohort, expanding our understanding of the phenotypic spectrum associated with TTR gene variation.
10.1007/s00439-019-02078-6
medrxiv
10.1101/19001693
Automated interpretation of the coronary angioscopy with deep convolutional neural networks
Miyoshi, T.; Higaki, A.; Kawakami, H.; Yamaguchi, O.
Akinori Higaki
Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, QC, Canada
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
cardiovascular medicine
https://www.medrxiv.org/content/early/2019/07/08/19001693.source.xml
BackgroundCoronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthesis. Methods107 images from 47 patients, who underwent coronary angioscopy in our hospital between 2014 and 2017, and 864 images, selected from 142 MEDLINE-indexed articles published between 2000 and 2019, were analyzed. First, we developed a prediction model for the angioscopic findings. Next, we made a generative adversarial networks (GAN) model to simulate the CAS images. Finally, we tried to control the output images according to the angioscopic findings with conditional GAN architecture. ResultsFor both yellow color (YC) grade and neointimal coverage (NC) grade, we could observe strong correlations between the true grades and the predicted values (YC grade, average r value = 0.80 {+/-} 0.02, p-value <0.001; NC grade, average r value = 0.73 {+/-} 0.02, p < 0.001). The binary classification model for the red thrombus yielded 0.71 {+/-} 0.03 F1-score and the area under the ROC curve (AUC) was 0.91 {+/-} 0.02. The standard GAN model could generate realistic CAS images (average Inception score = 3.57 {+/-} 0.06). GAN-based data augmentation improved the performance of the prediction models. In the conditional GAN model, there were significant correlations between given values and the experts diagnosis in YC grade and NC grade. ConclusionDCNN is useful in both predictive and generative modeling that can help develop the diagnostic support system for CAS.
10.1136/openhrt-2019-001177
medrxiv
10.1101/19001693
Automated interpretation of the coronary angioscopy with deep convolutional neural networks
Miyoshi, T.; Higaki, A.; Kawakami, H.; Yamaguchi, O.
Akinori Higaki
Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, QC, Canada
2019-12-17
2
PUBLISHAHEADOFPRINT
cc_by_nc_nd
cardiovascular medicine
https://www.medrxiv.org/content/early/2019/12/17/19001693.source.xml
BackgroundCoronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthesis. Methods107 images from 47 patients, who underwent coronary angioscopy in our hospital between 2014 and 2017, and 864 images, selected from 142 MEDLINE-indexed articles published between 2000 and 2019, were analyzed. First, we developed a prediction model for the angioscopic findings. Next, we made a generative adversarial networks (GAN) model to simulate the CAS images. Finally, we tried to control the output images according to the angioscopic findings with conditional GAN architecture. ResultsFor both yellow color (YC) grade and neointimal coverage (NC) grade, we could observe strong correlations between the true grades and the predicted values (YC grade, average r value = 0.80 {+/-} 0.02, p-value <0.001; NC grade, average r value = 0.73 {+/-} 0.02, p < 0.001). The binary classification model for the red thrombus yielded 0.71 {+/-} 0.03 F1-score and the area under the ROC curve (AUC) was 0.91 {+/-} 0.02. The standard GAN model could generate realistic CAS images (average Inception score = 3.57 {+/-} 0.06). GAN-based data augmentation improved the performance of the prediction models. In the conditional GAN model, there were significant correlations between given values and the experts diagnosis in YC grade and NC grade. ConclusionDCNN is useful in both predictive and generative modeling that can help develop the diagnostic support system for CAS.
10.1136/openhrt-2019-001177
medrxiv
10.1101/19001693
Automated interpretation of the coronary angioscopy with deep convolutional neural networks
Miyoshi, T.; Higaki, A.; Kawakami, H.; Yamaguchi, O.
Akinori Higaki
Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, QC, Canada
2020-01-08
3
PUBLISHAHEADOFPRINT
cc_by_nc_nd
cardiovascular medicine
https://www.medrxiv.org/content/early/2020/01/08/19001693.source.xml
BackgroundCoronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthesis. Methods107 images from 47 patients, who underwent coronary angioscopy in our hospital between 2014 and 2017, and 864 images, selected from 142 MEDLINE-indexed articles published between 2000 and 2019, were analyzed. First, we developed a prediction model for the angioscopic findings. Next, we made a generative adversarial networks (GAN) model to simulate the CAS images. Finally, we tried to control the output images according to the angioscopic findings with conditional GAN architecture. ResultsFor both yellow color (YC) grade and neointimal coverage (NC) grade, we could observe strong correlations between the true grades and the predicted values (YC grade, average r value = 0.80 {+/-} 0.02, p-value <0.001; NC grade, average r value = 0.73 {+/-} 0.02, p < 0.001). The binary classification model for the red thrombus yielded 0.71 {+/-} 0.03 F1-score and the area under the ROC curve (AUC) was 0.91 {+/-} 0.02. The standard GAN model could generate realistic CAS images (average Inception score = 3.57 {+/-} 0.06). GAN-based data augmentation improved the performance of the prediction models. In the conditional GAN model, there were significant correlations between given values and the experts diagnosis in YC grade and NC grade. ConclusionDCNN is useful in both predictive and generative modeling that can help develop the diagnostic support system for CAS.
10.1136/openhrt-2019-001177
medrxiv
10.1101/19001545
Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: A nationwide study during 1985-2015.
Konstantinoudis, G.; Schuhmacher, D.; Ammann, R.; Diesch, T.; Kuehni, C.; Spycher, B. D.
Ben Daniel Spycher
Institute of social and preventive medicine, University of Bern
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/07/08/19001545.source.xml
BackgroundThe aetiology of most childhood cancers is largely unknown. Spatially varying environmental factors such as traffic-related air pollution, background radiation and agricultural pesticides might contribute to the development of childhood cancer. We investigated the spatial variation of childhood cancers in Switzerland using exact geocodes of place of residence. MethodsWe included 5,947 children diagnosed with cancer during 1985-2015 at age 0-15 from the Swiss Childhood Cancer Registry. We modelled cancer risk using log-Gaussian Cox processes and indirect standardization to adjust for age and year of diagnosis. We examined whether the modelled spatial variation of risk can be explained by ambient air concentration of NO2, natural background radiation, area-based socio-economic position (SEP), linguistic region, years of existing general cancer registration in the canton or degree of urbanization. ResultsFor all childhood cancers combined, the posterior median relative risk (RR), compared to the national level, varied by location from 0.83 to 1.13 (min to max). Corresponding ranges were 0.96 to 1.09 for leukaemia, 0.90 to 1.13 for lymphoma, and 0.82 to 1.23 for CNS tumours. The covariates considered explained 72% of the observed spatial variation for all cancers, 81% for leukaemia, 82% for lymphoma and 64% for CNS tumours. There was evidence of an association of background radiation and SEP with incidence of CNS tumours, (1.19;0.98-1.40) and (1.6;1-1.13) respectively. ConclusionOf the investigated diagnostic groups, childhood CNS tumours show the largest spatial variation in Switzerland. The selected covariates only partially explained the observed variation of CNS tumours suggesting that other environmental factors also play a role.
10.1186/s12942-020-00211-7
medrxiv
10.1101/19001545
Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: A nationwide study during 1985-2015.
Konstantinoudis, G.; Schuhmacher, D.; Ammann, R.; Diesch, T.; Kuehni, C.; Spycher, B. D.
Ben Daniel Spycher
Institute of social and preventive medicine, University of Bern
2019-07-15
2
PUBLISHAHEADOFPRINT
cc_by
epidemiology
https://www.medrxiv.org/content/early/2019/07/15/19001545.source.xml
BackgroundThe aetiology of most childhood cancers is largely unknown. Spatially varying environmental factors such as traffic-related air pollution, background radiation and agricultural pesticides might contribute to the development of childhood cancer. We investigated the spatial variation of childhood cancers in Switzerland using exact geocodes of place of residence. MethodsWe included 5,947 children diagnosed with cancer during 1985-2015 at age 0-15 from the Swiss Childhood Cancer Registry. We modelled cancer risk using log-Gaussian Cox processes and indirect standardization to adjust for age and year of diagnosis. We examined whether the modelled spatial variation of risk can be explained by ambient air concentration of NO2, natural background radiation, area-based socio-economic position (SEP), linguistic region, years of existing general cancer registration in the canton or degree of urbanization. ResultsFor all childhood cancers combined, the posterior median relative risk (RR), compared to the national level, varied by location from 0.83 to 1.13 (min to max). Corresponding ranges were 0.96 to 1.09 for leukaemia, 0.90 to 1.13 for lymphoma, and 0.82 to 1.23 for CNS tumours. The covariates considered explained 72% of the observed spatial variation for all cancers, 81% for leukaemia, 82% for lymphoma and 64% for CNS tumours. There was evidence of an association of background radiation and SEP with incidence of CNS tumours, (1.19;0.98-1.40) and (1.6;1-1.13) respectively. ConclusionOf the investigated diagnostic groups, childhood CNS tumours show the largest spatial variation in Switzerland. The selected covariates only partially explained the observed variation of CNS tumours suggesting that other environmental factors also play a role.
10.1186/s12942-020-00211-7
medrxiv
10.1101/19001578
Public knowledge and attitude towards epilepsy and its associated factors in Debre Berhan, North Shoa, Amhara Region, Ethiopia, 2018/19. Community based cross sectional study
dargie, a. w.; engidaw, n. a.; basha, e. a.
abate wubetu dargie Jr.
Debre Berhan University
2019-07-08
1
PUBLISHAHEADOFPRINT
cc_by_nc_nd
epidemiology
https://www.medrxiv.org/content/early/2019/07/08/19001578.source.xml
IntroductionEpilepsy is chronic brain disorder characterized by recurrent derangement of the nervous system due to the sudden excessive disorderly discharge of the cerebral neurons. People living with epilepsy continue to suffer from enacted or perceived stigma that is based on myths, misconceptions, and misunderstandings that have persisted for many years. Therefore, this study aimed to assess the community general knowledge and attitude towards epilepsy. MethodsCommunity-based cross-sectional study was conducted to assess public general knowledge and attitude towards epilepsy and its associated factors using structured pretested questionnaire. Data were entered into Epi data version 3.1 and transported to SPSS version 21 further analysis. Both Bivariable and Multivariable Logistic Regression was done to identify associated factors. Odds Ratios and their 95% Confidence interval were computed and variables with p-value less than 0.05 was considered significantly associated factors. Results596 study participants participated in a response rate of 98%. Among the study participants, 43.6 (95% CI: 39.6, 47.5) had poor knowledge and 41.3 (95% CI: 37.4, 45.1) had an unfavorable attitude. Being secondary education, marital status, witnessed a seizure and heard the term epilepsy were showed statistically significant association with poor knowledge about epilepsy. Level of education, low average monthly income, not witnessed a seizure, not heard the term epilepsy and distant from health facility showed statically significant association with the unfavorable attitude. ConclusionIn this study, Debre Berhan communities were found to have deficits in terms of general knowledge and attitude about epilepsy; and it should be given due attention.
null
medrxiv
10.1101/19001578
Public knowledge and attitude towards epilepsy and its associated factors in Debre Berhan, North Shoa, Amhara Region, Ethiopia, 2018/19. Community based cross sectional study
dargie, a. w.; engidaw, n. a.; basha, e. a.
abate wubetu dargie Jr.
Debre Berhan University
2019-07-15
2
PUBLISHAHEADOFPRINT
cc_by_nc_nd
epidemiology
https://www.medrxiv.org/content/early/2019/07/15/19001578.source.xml
IntroductionEpilepsy is chronic brain disorder characterized by recurrent derangement of the nervous system due to the sudden excessive disorderly discharge of the cerebral neurons. People living with epilepsy continue to suffer from enacted or perceived stigma that is based on myths, misconceptions, and misunderstandings that have persisted for many years. Therefore, this study aimed to assess the community general knowledge and attitude towards epilepsy. MethodsCommunity-based cross-sectional study was conducted to assess public general knowledge and attitude towards epilepsy and its associated factors using structured pretested questionnaire. Data were entered into Epi data version 3.1 and transported to SPSS version 21 further analysis. Both Bivariable and Multivariable Logistic Regression was done to identify associated factors. Odds Ratios and their 95% Confidence interval were computed and variables with p-value less than 0.05 was considered significantly associated factors. Results596 study participants participated in a response rate of 98%. Among the study participants, 43.6 (95% CI: 39.6, 47.5) had poor knowledge and 41.3 (95% CI: 37.4, 45.1) had an unfavorable attitude. Being secondary education, marital status, witnessed a seizure and heard the term epilepsy were showed statistically significant association with poor knowledge about epilepsy. Level of education, low average monthly income, not witnessed a seizure, not heard the term epilepsy and distant from health facility showed statically significant association with the unfavorable attitude. ConclusionIn this study, Debre Berhan communities were found to have deficits in terms of general knowledge and attitude about epilepsy; and it should be given due attention.
null
medrxiv

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