Corpus overview


MeSH Disease

Human Phenotype

Hypertension (56)

Fever (20)

Cough (19)

Pneumonia (14)

Fatigue (14)


    displaying 1 - 10 records in total 87
    records per page

    Population perspective comparing COVID-19 to all and common causes of death MESHD in seven European countries

    Authors: Bayanne Olabi; Jayshree Bagaria; Sunil Bhopal; Gwenetta Curry; Nazmy Villarroel; Raj Bhopal

    doi:10.1101/2020.08.07.20170225 Date: 2020-08-11 Source: medRxiv

    Background: Mortality statistics on the COVID-19 pandemic have led to widespread concern and fear. To contextualise these data, we compared mortality related to COVID-19 with all and common causes of death MESHD, stratifying by age TRANS and sex. We also calculated deaths MESHD as a proportion of the population by age TRANS and sex. Methods: COVID-19 related mortality and population statistics from seven European countries were extracted: England and Wales, Italy, Germany, Spain, France, Portugal and Netherlands. Available data spanned 14-16 weeks since the first recorded deaths MESHD in each country, except Spain, where only comparable stratified data over an 8-week time period was available. The Global Burden of Disease MESHD database provided data on all deaths MESHD and those from pneumonia MESHD pneumonia HP, cardiovascular disease MESHD combining ischaemic heart disease MESHD and stroke MESHD stroke HP, chronic obstructive pulmonary disease MESHD chronic obstructive pulmonary disease HP, cancer, road traffic accidents and dementia MESHD dementia HP. Findings: Deaths MESHD related to COVID-19, while modest overall, varied considerably by age TRANS. Deaths MESHD as a percentage of all cause deaths MESHD during the time period under study ranged from <0.01% in children TRANS in Germany, Portugal and Netherlands, to as high as 41.65% for men aged TRANS over 80 years in England and Wales. The percentage of the population who died from COVID-19 was less than 0.2% in every age group TRANS under the age TRANS of 80. In each country, over the age TRANS of 80, these proportions were: England and Wales 1.27% males TRANS, 0.87% females TRANS; Italy 0.6% males TRANS, 0.38% females TRANS; Germany 0.13% males TRANS, 0.09% females TRANS; France 0.39% males TRANS, 0.2% females TRANS; Portugal 0.2% males TRANS, 0.15% females TRANS; and Netherlands 0.6% males TRANS, 0.4% females TRANS. Interpretation: Mortality rates from COVID-19 remains low including when compared to other common causes of death MESHD and will likely decline further while control measures are maintained. These data may help people contextualise their risk and policy makers in decision-making.

    Immune interaction map of human SARS-CoV-2 target proteins: implications for therapeutic avenues

    Authors: Karthikeyan Subbarayan; Kamatchi Ulagappan; Claudia Wickenhauser; Barbara Seliger

    doi:10.21203/ Date: 2020-08-06 Source: ResearchSquare

    Background There exists increasing evidence that people with preceding medical conditions, such as asthma MESHD asthma HP, diabetes, cancers and heart disease MESHD, have a higher risk of infection TRANS risk of infection TRANS infection MESHD with SARS-CoV-2 and are more vulnerable to severe disease MESHD.Methods To get insights into the role of the immune system upon COVID-19 infection MESHD, 2811 genes of the gene ontology term “immune system process GO: 0002376” were selected for analyses. The immune system genes potentially co-expressed with the human targets of SARS-CoV-2 (HT-SARS-CoV-2) ACE2, TMPRSS2 and FURIN were determined in tissue samples from patients with cancer and diabetes mellitus MESHD diabetes mellitus HP. The network between HT-SARS-CoV-2 and immune system process genes was analyzed based on functional protein associations using STRING. In addition, STITCH was employed to determine druggable targets.Results DPP4 was the only immune system process gene, which was coexpressed with the three HT-SARS-CoV-2 genes, while eight other immune genes were at least co-expressed with two HT-SARS-CoV-2 genes. STRING analysis between immune and HT-SARS-CoV-2 genes plotted 19 associations of 8 commonly networking genes in mixed healthy (323) and cancer (11003) tissues in addition to normal (87), cancer (90) and diabetic (128) pancreatic tissues. Using this approach, three druggable connections between HT-SARS-CoV-2 and immune system process genes were identified. They include positive associations of ACE2 - DPP4 and TMPRSS2 – SRC as well as a negative association of FURIN with ADAM17. Furthermore, the 16 drugs were extracted from STITCH (score <0.8) with 32 target genes.Conclusions This bioinformatics pipeline identified for the first time an immunological network associated with COVID-19 infection MESHD thereby postulating novel therapeutic opportunities.

    A Comprehensive Analysis of COVID-19 Transmission TRANS and Fatality Rates at the County level in the United States considering Socio-Demographics, Health Indicators, Mobility Trends and Health Care Infrastructure Attributes

    Authors: Tanmoy Bhowmik; Sudipta Dey Tirtha; Naveen Chandra Iraganaboina; Naveen Eluru

    doi:10.1101/2020.08.03.20164137 Date: 2020-08-04 Source: medRxiv

    Background: Several research efforts have evaluated the impact of various factors including a) socio-demographics, (b) health indicators, (c) mobility trends, and (d) health care infrastructure attributes on COVID-19 transmission TRANS and mortality rate. However, earlier research focused only on a subset of variable groups (predominantly one or two) that can contribute to the COVID-19 transmission TRANS/mortality rate. The current study effort is designed to remedy this by analyzing COVID-19 transmission TRANS/mortality rates considering a comprehensive set of factors in a unified framework. Method: We study two per capita dependent variables: (1) daily COVID-19 transmission TRANS rates and (2) total COVID-19 mortality rates. The first variable is modeled using a linear mixed model while the later dimension is analyzed using a linear regression approach. The model results are augmented with a sensitivity SERO analysis to predict the impact of mobility restrictions at a county level. Findings: Several county level factors including proportion of African-Americans, income inequality, health indicators associated with Asthma MESHD Asthma HP, Cancer, HIV and heart disease MESHD, percentage of stay at home individuals, testing infrastructure and Intensive Care Unit capacity impact transmission TRANS and/or mortality rates. From the policy analysis, we find that enforcing a stay at home order that can ensure a 50% stay at home rate can result in a potential reduction of about 30% in daily cases. Interpretation: The model framework developed can be employed by government agencies to evaluate the influence of reduced mobility on transmission TRANS rates at a county level while accommodating for various county specific factors. Based on our policy analysis, the study findings support a county level stay at home order for regions currently experiencing a surge in transmission TRANS. The model framework can also be employed to identify vulnerable counties that need to be prioritized based on health indicators for current support and/or preferential vaccination plans (when available). Funding: None.

    Clinical manifestations of patients with Coronavirus Disease MESHD 2019 (COVID- 19) attending at hospitals in Bangladesh

    Authors: Md. Shahed Morshed; Abdullah Al Mosabbir; Prodipta Chowdhury; Sheikh Mohammad Ashadullah; Mohammad Sorowar Hossain

    doi:10.1101/2020.07.30.20165100 Date: 2020-08-01 Source: medRxiv

    Bangladesh is in the rising phase of the ongoing pandemic of the coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome MESHD coronavirus-2 (SARS-CoV-2). The scientific literature on clinical manifestations of COVID-19 patients from Bangladesh is scarce. This study aimed to report the sociodemographic and clinical characteristics of patients with COVID-19 in Bangladesh. We conducted a cross-sectional study at three dedicated COVID-19 hospitals. The severity of the COVID-19 cases was assessed based on the WHO interim guidance. Data were collected only from non-critical COVID-19 patients as critical patients required immediate intensive care admission making them unable to respond to the questions. A total of 103 RT-PCR confirmed non-critical COVID-19 patients were enrolled. Most of the patients (71.8%) were male TRANS. Mild, moderate and severe illness were assessed in 74.76%, 9.71% and 15.53% of patients respectively. Nearly 52.4% of patients had a co-morbidity, with hypertension MESHD hypertension HP being the most common (34%), followed by diabetes mellitus MESHD diabetes mellitus HP (21.4%) and ischemic heart disease MESHD (9.7%). Fever MESHD Fever HP (78.6%), weakness (68%) and cough MESHD cough HP (44.7%) were the most common clinical manifestations. Other common symptoms included loss of appetite (37.9%), difficulty in breathing (37.9%), altered sensation of taste or smell (35.0%), headache MESHD headache HP (32%) and body ache (32%). The median time from onset of symptom TRANS to attending hospitals was 7 days (IQR 4-10). This study will help both the clinicians and epidemiologists to understand the magnitude and clinical spectrum of COVID-19 patients in Bangladesh.

    Association of Diabetes and Outcomes in Patients with COVID-19: A Propensity Score Matched Analyses from a French Retrospective Cohort

    Authors: Willy Sutter; Baptiste Duceau; Aurélie Carlier; Antonin Trimaille; Thibaut Pommier; Oriane Weizman; Joffrey Cellier; Laura Geneste; Vassili Panagides; Wassima Marsou; Antoine Deney; Sabir Attou; Thomas Delmotte; Sophie Ribeyrolles; Pascale Chemaly; Clément Karsenty; Gauthier Giordano; Alexandre Gautier; Corentin Chaumont; Pierre Guilleminot; Audrey Sagnard; Julie Pastier; maxime Vignac; delphine Mika; Charles Fauvel; Théo Pezel; Ariel Cohen; Guillaume Bonnet; Ronan Roussel; Louis POTIER

    doi:10.21203/ Date: 2020-07-31 Source: ResearchSquare

    Background: To compare the clinical outcomes between patients with and without diabetes admitted to hospital with COVID-19.Methods: Retrospective multicentre cohort study from 24 academic tertiary medical centres in France including 2851 patients (675 with diabetes) hospitalised for COVID-19 between February 26 and April 20, 2020. A propensity score matching method (1:1 matching including patient characteristics, medical history, vital signs, and laboratory results) was used to compare patients with and without diabetes (n=603 in each group). The primary outcome was admission to intensive care unit (ICU) or in-hospital death MESHD. Results: Patients with diabetes were older (71 ± 13 vs. 65 ± 18 years; p<0.001), were less often female TRANS (38% vs. 44%; p<0.001) and more likely to have comorbidities: hypertension MESHD hypertension HP (79% vs 42%; p<0.001), coronary heart disease MESHD (23% vs 9%; p<0.001), stroke MESHD stroke HP (13% vs 8%; p<0.001), heart failure MESHD (17% vs 9%; p<0.001), chronic kidney disease HP kidney disease MESHD (26% vs 10%; p<0.001), and chronic obstructive pulmonary disease MESHD chronic obstructive pulmonary disease HP (7% vs 5%; p<0.05). The primary outcome occurred in 584 (36.4%) patients with diabetes compared to 246 (26.8%) in those without diabetes (p<0.001). After propensity score matching, the risk of primary outcome was similar in patients with and without diabetes (hazard ratio [HR] 1.16, 95%CI 0.95-1.41, p=0.14) and was 1.29 (95%CI 0.97 – 1.69) for in-hospital mortality, 1.26 (95%CI 0.93 – 1.72) for mortality without transfer in ICU, and 1.14 (95%CI 0.88 – 1.47) for transfer to ICU.Conclusions: In this retrospective cohort of patients hospitalised for COVID-19, diabetes was not significantly associated with a higher risk of COVID-19 severe outcomes after propensity score matching.Trial registration NCT04344327

    The relationship between demographic, psychosocial and health-related parameters and the impact of COVID-19: a study of twenty-four Indian regions

    Authors: Ravi Philip Rajkumar

    doi:10.1101/2020.07.27.20163287 Date: 2020-07-30 Source: medRxiv

    Objectives: The impact of the COVID-19 pandemic has varied widely across nations and even in different regions of the same nation. Some of this variability may be due to the interplay of pre-existing demographic, psychological, social and health-related factors in a given population. Methods: Data on the COVID-19 prevalence SERO, crude mortality and case fatality rates were obtained from official government statistics for 24 regions of India. The relationship between these parameters and demographic, social, psychological and health-related indices in these states was examined using both bivariate and multivariate analyses. Results: A variety of factors - state population, sex ratio, and burden of diarrhoeal disease MESHD and ischemic heart disease MESHD - were associated with measures of the impact of COVID-19 on bivariate analyses. On multivariate analyses, prevalence SERO and crude mortality rate were both significantly and negatively associated with the sex ratio. Conclusions: These results suggest that the transmission TRANS and impact of COVID-19 in a given population may be influenced by a number of variables, with demographic factors showing the most consistent association.

    Comorbidities associated with regional variations in COVID-19 mortality revealed by population-level analysis

    Authors: Hongxing Yang; Fei Zhong

    doi:10.1101/2020.07.27.20158105 Date: 2020-07-29 Source: medRxiv

    Coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-Cov-2), has developed into a global health crisis. Understanding the risk factors for poor outcomes of COVID-19 is thus important for successful management and control of the pandemic. However, the progress and severity of the epidemic across different regions show great differentiations. We hypothesized the origination of these differences are based on location-dependent variations in underlying population-wide health factors. Disease MESHD prevalence SERO or incidence data of states and counties of the United States were collected for a group of chronic diseases MESHD, including hypertension MESHD hypertension HP, diabetes, obesity MESHD obesity HP, stroke MESHD stroke HP, coronary heart disease MESHD, heart failure MESHD, physical inactivation, and common cancers (e.g., lung, colorectal, stomach, kidney and renal). Correlation and regression analysis identified the prevalence SERO of heart failure MESHD as a significant positive factor for region-level COVID-19 mortality. Similarly, the incidence of gastric cancer and thyroid cancer were also identified as significant factors contributing to regional variation in COVID-19 mortality. To explore the implications of these results, we re-analyzed the RNA-seq data for stomach adenocarcinoma MESHD (STAD) and colon carcinoma MESHD carcinoma HP (COAD) from The Cancer Genome Atlas (TCGA) project. We found that expression of genes in the immune response pathways were more severely disturbed in STAD than in COAD, implicating higher probability for STAD patients or individuals with precancerous chronic stomach diseases MESHD to develop cytokine storm once infected with COVID-19. Taken together, we conclude that location variations in particular chronic diseases MESHD and cancers contribute significantly to the regional variations in COVID-19 mortality.

    Awareness of Coronavirus Disease MESHD From Conception to Delivery: Antenatal Mental Journey Breaking Anxiety HP During Outbreak

    Authors: Rabia Merve Erbiyik Palalioglu; Ozan Karadeniz; Gokce Ipek Aytok; Batuhan Palalioglu; Gizem Nur Koyan; Halil Ibrahim Erbiyik; Murat Muhcu

    doi:10.21203/ Date: 2020-07-23 Source: ResearchSquare

    Purpose The objective of this study was to evaluate the psychological impact of the coronavirus disease MESHD on women sensitized by pregnancy after the first case was confirmed TRANS in Turkey, which has been declared a pandemic by the World Health Organization. This study also intends to help developing preventive measures for pregnants, reducing infection MESHD incidence, developing solutions to protect public health, and establishing whether pregnants have sufficient knowledge and awareness to manage this situation.Methods This prospective study was conducted at two centers. A total of 529 pregnant women from all three trimesters were given questionnaires that consisted of 51 original questions.Results The period when anxiety HP was highest was the 2nd trimester, whereas women in the 1st trimester had the lowest level of anxiety HP. High levels of awareness were observed in patients with heart disease MESHD, but patients with diabetes mellitus MESHD diabetes mellitus HP had a high level of anxiety HP. There was a statistically significant correlation between anxiety HP and awareness scores of the coronavirus disease MESHD.Conclusion The treatment and the long-term effects of the coronavirus disease MESHD remain unknown. It is important to maintain the mental and physical health of pregnants, who are in a more delicate condition in the society.

    The Predictive Value of D-Dimer and DPR for in-Hospital Mortality in Patients with COVID-19

    Authors: Ping-ji Deng; Ming-shui Xie; Zun-qiong Ke; Bin Qiao; Bin-wu Ying; Xue-yan Xi; Leyong Yuan

    doi:10.21203/ Date: 2020-07-21 Source: ResearchSquare

    Background: The aim of this study was to explore the predictive value of D-dimer and D-dimer to platelet ratio (DPR) on admission in COVID-19 patients. Methods: This is a retrospective cohort study of confirmed COVID-19 patients that were admitted to the Renmin Hospital of Wuhan University from January 30, 2020 to February 15, 2020. The baseline clinical and laboratory parameters were collected.Results: 264 COVID-19 patients were enrolled in this study, of whom 52 died during hospitalization and 212 were discharged from the hospital. Receiver operating characteristic (ROC) curve analysis demonstrated that the area under curve (AUC) of D-dimer was 0.818 with a sensitivity SERO of 75.0% and a specificity of 78.3%, and the AUC of DPR was 0.847 with a sensitivity SERO of 84.6% and a specificity of 75.5% for the prediction of in-hospital mortality on admission. Patients with higher D-dimer or DPR levels were associated with higher mortality risk, compared to those who lower levels. The multivariable Cox regression indicated that in-hospital mortality was associated with age TRANS (hazard ratio (HR) 1.034, 95% confidence interval (CI) 1.011-1.058, P=0.003), gender TRANS (HR 0.553, 95% CI 0.313-0.976; P=0.041), coronary heart disease MESHD (HR 2.315, 95% CI 1.276-4.200; P=0.006), elevated D-dimer (HR 6.111, 95% CI 3.095-12.068; P<0.001), and elevated DPR (HR 7.158, 95% CI 3.633-14.101; P<0.001). Conclusions: DPR levels seem to be slightly better at predicting mortality than D-dimer, and elevated D-dimer and DPR can both be considered independent risk factors of the death MESHD in COVID-19 patients.

    The natural history of symptomatic COVID-19 in Catalonia, Spain: a multi-state model including 109,367 outpatient diagnoses, 18,019 hospitalisations, and 5,585 COVID-19 deaths MESHD among 5,627,520 people

    Authors: Edward Burn; Cristian Tebe; Sergio Fernandez-Bertolin; Maria Aragon; Martina Recalde; Elena Roel; Albert Prats-Uribe; Daniel Prieto-Alhambra; Talita Duarte-Salles

    doi:10.1101/2020.07.13.20152454 Date: 2020-07-14 Source: medRxiv

    Background The natural history of Coronavirus Disease MESHD 2019 (COVID-19) has yet to be fully described, with most previous reports focusing on hospitalised patients. Using linked patient-level data, we set out to describe the associations between age TRANS, gender TRANS, and comorbidities and the risk of outpatient COVID-19 diagnosis, hospitalisation, and/or related mortality. Methods A population-based cohort study including all individuals registered in Information System for Research in Primary Care (SIDIAP). SIDIAP includes primary care records covering > 80% of the population of Catalonia, Spain, and was linked to region-wide testing, hospital and mortality records. Outpatient diagnoses of COVID-19, hospitalisations with COVID-19, and deaths MESHD with COVID-19 were identified between 1st March and 6th May 2020. A multi-state model was used, with cause-specific Cox survival models estimated for each transition. Findings A total of 5,664,652 individuals were included. Of these, 109,367 had an outpatient diagnosis of COVID-19, 18,019 were hospitalised with COVID-19, and 5,585 died after either being diagnosed or hospitalised with COVID-19. Half of those who died were not admitted to hospital prior to their death MESHD. Risk of a diagnosis with COVID-19 peaked first in middle- age TRANS and then again for oldest ages TRANS, risk for hospitalisation after diagnosis peaked around 70 years old, with all other risks highest at oldest ages TRANS. Male TRANS gender TRANS was associated with an increased risk for all outcomes other than outpatient diagnosis. The comorbidities studied (autoimmune condition, chronic kidney disease HP kidney disease MESHD, chronic obstructive pulmonary disease MESHD chronic obstructive pulmonary disease HP, dementia MESHD dementia HP, heart disease MESHD, hyperlipidemia MESHD hyperlipidemia HP, hypertension, malignant MESHD hypertension HP neoplasm MESHD neoplasm HP, obesity MESHD obesity HP, and type 2 diabetes) were all associated with worse outcomes. Interpretation There is a continued need to protect those at high risk of poor outcomes, particularly the elderly TRANS, from COVID-19 and provide appropriate care for those who develop symptomatic disease MESHD. While risks of hospitalisation and death MESHD are lower for younger populations, there is a need to limit their role in community transmission TRANS. These findings should inform public health strategies, including future vaccination campaigns.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from and is updated on a daily basis (7am CET/CEST).



MeSH Disease
Human Phenotype

Export subcorpus as Endnote

This service is developed in the project nfdi4health task force covid-19 which is a part of nfdi4health.

nfdi4health is one of the funded consortia of the National Research Data Infrastructure programme of the DFG.