Corpus overview


MeSH Disease

Human Phenotype


    displaying 1 - 10 records in total 481
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    Effect of Convalescent Plasma SERO on Mortality among Hospitalized Patients with COVID-19: Initial Three-Month Experience

    Authors: Michael J Joyner; Jonathon W Senefeld; Stephen A Klassen; John R Mills; Patrick W Johnson; Elitza S Theel; Chad C Wiggins; Katelyn A Bruno; Allan M Klompas; Elizabeth R Lesser; Katie L Kunze; Matthew A Sexton; Juan C Diaz Soto; Sarah E Baker; John R.A. Shepherd; Noud van Helmond; Camille M van Buskirk; Jeffrey L Winters; James R Stubbs; Robert F Rea; David O Hodge; Vitaly Herasevich; Emily R Whelan; Andrew J Clayburn; Kathryn F Larson; Juan G Ripoll; Kylie J Andersen; Matthew R Buras; Matthew N.P. Vogt; Joshua J Dennis; Riley J Regimbal; Philippe R Bauer; Janis E Blair; Nigel S Paneth; DeLisa Fairweather; R. Scott Wright; Rickey E Carter; Arturo Casadevall

    doi:10.1101/2020.08.12.20169359 Date: 2020-08-12 Source: medRxiv

    Importance: Passive antibody SERO transfer is a longstanding treatment strategy for infectious diseases MESHD that involve the respiratory system. In this context, human convalescent plasma SERO has been used to treat coronavirus disease MESHD 2019 (COVID-19), but the efficacy remains uncertain. Objective: To explore potential signals of efficacy of COVID-19 convalescent plasma SERO. Design: Open-label, Expanded Access Program (EAP) for the treatment of COVID-19 patients with human convalescent plasma SERO. Setting: Multicenter, including 2,807 acute care facilities in the US and territories. Participants: Adult TRANS participants enrolled and transfused under the purview of the US Convalescent Plasma SERO EAP program between April 4 and July 4, 2020 who were hospitalized with (or at risk of) severe or life threatening acute COVID-19 respiratory syndrome MESHD. Intervention: Transfusion of at least one unit of human COVID-19 convalescent plasma SERO using standard transfusion guidelines at any time during hospitalization. Convalescent plasma SERO was donated by recently-recovered COVID-19 survivors, and the antibody SERO levels in the units collected were unknown at the time of transfusion. Main Outcomes and Measures: Seven and thirty-day mortality. Results: The 35,322 transfused patients had heterogeneous demographic and clinical characteristics. This cohort included a high proportion of critically-ill patients, with 52.3% in the intensive care unit (ICU) and 27.5% receiving mechanical ventilation at the time of plasma SERO transfusion. The seven-day mortality rate was 8.7% [95% CI 8.3%-9.2%] in patients transfused within 3 days of COVID-19 diagnosis but 11.9% [11.4%-12.2%] in patients transfused 4 or more days after diagnosis (p<0.001). Similar findings were observed in 30-day mortality (21.6% vs. 26.7%, p<0.0001). Importantly, a gradient of mortality was seen in relation to IgG antibody SERO levels in the transfused plasma SERO. For patients who received high IgG plasma SERO (>18.45 S/Co), seven-day mortality was 8.9% (6.8%, 11.7%); for recipients of medium IgG plasma SERO (4.62 to 18.45 S/Co) mortality was 11.6% (10.3%, 13.1%); and for recipients of low IgG plasma SERO (<4.62 S/Co) mortality was 13.7% (11.1%, 16.8%) (p=0.048). This unadjusted dose-response relationship with IgG was also observed in thirty-day mortality (p=0.021). The pooled relative risk of mortality among patients transfused with high antibody SERO level plasma SERO units was 0.65 [0.47-0.92] for 7 days and 0.77 [0.63-0.94] for 30 days compared to low antibody SERO level plasma SERO units. Conclusions and Relevance: The relationships between reduced mortality and both earlier time to transfusion and higher antibody SERO levels provide signatures of efficacy for convalescent plasma SERO in the treatment of hospitalized COVID-19 patients. This information may be informative for the treatment of COVID-19 and design of randomized clinical trials involving convalescent plasma SERO. Trial Registration: Identifier: NCT04338360

    Impaired cellular immunity to SARS-CoV-2 in severe COVID-19 patients

    Authors: Ling Ni; Meng-Li Cheng; Hui Zhao; Yu Feng; Jingyuan Liu; Fang Ye; Qing Ye; Gengzhen Zhu; Xiaoli Li; Pengzhi Wang; Jing Shao; Yong-qiang Deng; Peng Wei; Fang Chen; Cheng-feng Qin; Guoqing Wang; Fan Li; Hui Zeng; Chen Dong

    doi:10.1101/2020.08.10.20171371 Date: 2020-08-12 Source: medRxiv

    The World Health Organization has declared SARS-CoV-2 virus outbreak a world-wide pandemic. Individuals infected by the virus exhibited different degrees of symptoms, the basis of which remains largely unclear. Currently, though convalescent individuals have been shown with both cellular and humoral immune responses, there is very limited understanding on the immune responses, especially adaptive immune responses, in patients with severe COVID-19. Here, we examined 10 blood SERO samples from COVID-19 patients with acute respiratory distress HP syndrome MESHD (ARDS). The majority of them (70%) mounted SARS-CoV-2-specific humoral immunity with production of neutralizing antibodies SERO. However, compared to healthy controls, the percentages and absolute numbers of both NK cells and CD8+ T cells were significantly reduced, accompanied with decreased IFNg expression in CD4+ T cells in peripheral blood SERO from severe patients. Most notably, we failed in detecting SARS-CoV-2-specific IFNg production by peripheral blood SERO lymphocytes from these patients. Our work thus indicates that COVID-19 patients with severe symptoms are associated with defective cellular immunity, which not only provides insights on understanding the pathogenesis of COVID-19, but also has implications in developing an effective vaccine to SARS-CoV-2.

    The Spectrum of Cardiovascular Complications in COVID-19- A Comprehensive Literature Review

    Authors: Raja Shakeel Mushtaque; Rabia Mushtaque; Shahbano Baloch; Aadil Raza; Haseeb Bhatti; Zohaib Khan

    id:10.20944/preprints202008.0257.v1 Date: 2020-08-11 Source:

    A newly identified novel coronavirus named as severe acute respiratory syndrome MESHD-related coronavirus2 (SARS‐CoV 2) has given rise to the global pandemic. SARS-CoV2 which causes coronavirus disease MESHD 2019 (COVID-19), is a positive-stranded RNA virus with nucleocapsid. It binds to host angiotensin-converting enzyme2 (ACE2) receptor through surface glycoprotein (S protein). These ACE 2 receptors are attached to the cell membranes of many organs. Thus, COVID-19 does not only result in acute respiratory distress HP syndrome MESHD but also affects multiple organ systems, requiring a multidisciplinary approach to manage this disease MESHD. COVID-19 can damage the myocardial cells and result in fulminant myocarditis MESHD myocarditis HP, acute cardiac injury, cardiomyopathy MESHD cardiomyopathy HP, heart failure MESHD, cardiogenic shock MESHD cardiogenic shock HP, or arrhythmia HP. COVID-19 seeds harmful immune response through cytokine storm leading to indirect organ damage. In this literature review, the available data is comprehended regarding cardiovascular complications in COVID-19, and the correlation of biomarkers with the disease MESHD activity is discussed. This literature review also highlights the important treatment options and outcomes of the individual study.

    A Large-Scale Clinical Validation Study Using nCapp Cloud Plus Terminal by Frontline Doctors for the Rapid Diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP in China

    Authors: Dawei Yang; Tao Xu; Xun Wang; Deng Chen; Ziqiang Zhang; Lichuan Zhang; Jie Liu; Kui Xiao; Li Bai; Yong Zhang; Lin Zhao; Lin Tong; Chaomin Wu; Yaoli Wang; Chunling Dong; Maosong Ye; Yu Xu; Zhenju Song; Hong Chen; Jing Li; Jiwei Wang; Fei Tan; Hai Yu; Jian Zhou; Jinming Yu; Chunhua Du; Hongqing Zhao; Yu Shang; Linian Huang; Jianping Zhao; Yang Jin; Charles A. Powell; Yuanlin Song; Chunxue Bai

    doi:10.1101/2020.08.07.20163402 Date: 2020-08-11 Source: medRxiv

    Background The outbreak of coronavirus disease MESHD 2019 (COVID-19) has become a global pandemic acute infectious disease MESHD, especially with the features of possible asymptomatic TRANS carriers TRANS and high contagiousness. It causes acute respiratory distress HP syndrome MESHD and results in a high mortality rate if pneumonia MESHD pneumonia HP is involved. Currently, it is difficult to quickly identify asymptomatic TRANS cases or COVID-19 patients with pneumonia MESHD pneumonia HP due to limited access to reverse transcription-polymerase chain reaction (RT-PCR) nucleic acid tests and CT scans, which facilitates the spread of the disease TRANS disease MESHD at the community level, and contributes to the overwhelming of medical resources in intensive care units. Goal This study aimed to develop a scientific and rigorous clinical diagnostic tool for the rapid prediction of COVID-19 cases based on a COVID-19 clinical case database in China, and to assist global frontline doctors to efficiently and precisely diagnose asymptomatic TRANS COVID-19 patients and cases who had a false-negative RT-PCR test result. Methods With online consent, and the approval of the ethics committee of Zhongshan Hospital Fudan Unversity (approval number B2020-032R) to ensure that patient privacy is protected, clinical information has been uploaded in real-time through the New Coronavirus Intelligent Auto-diagnostic Assistant Application of cloud plus terminal (nCapp) by doctors from different cities (Wuhan, Shanghai, Harbin, Dalian, Wuxi, Qingdao, Rizhao, and Bengbu) during the COVID-19 outbreak in China. By quality control and data anonymization on the platform, a total of 3,249 cases from COVID-19 high-risk groups were collected. These patients had SARS-CoV-2 RT-PCR test results and chest CT scans, both of which were used as the gold standard for the diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP. In particular, the dataset included 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, and 122 asymptomatic TRANS cases who had positive RT-PCR test results, amongst whom 31 cases were diagnosed. We also integrated the function of a survey in nCapp to collect user feedback from frontline doctors. Findings We applied the statistical method of a multi-factor regression model to the training dataset (1,624 cases) and developed a prediction model for COVID-19 with 9 clinical indicators that are fast and accessible: 'Residing or visiting history in epidemic regions', 'Exposure history to COVID-19 patient', 'Dry cough MESHD cough HP', ' Fatigue MESHD Fatigue HP', 'Breathlessness', 'No body temperature decrease after antibiotic treatment', 'Fingertip blood SERO oxygen saturation<=93%', ' Lymphopenia MESHD Lymphopenia HP', and 'C-reactive protein (CRP) increased'. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.88 (95% CI: 0.86, 0.89) in the training dataset and 0.84 (95% CI: 0.82, 0.86) in the validation dataset (1,625 cases). To ensure the sensitivity SERO of the model, we used a cutoff value of 0.09. The sensitivity SERO and specificity of the model were 98.0% (95% CI: 96.9%, 99.1%) and 17.3% (95% CI: 15.0%, 19.6%), respectively, in the training dataset, and 96.5% (95% CI: 95.1%, 98.0%) and 18.8% (95% CI: 16.4%, 21.2%), respectively, in the validation dataset. In the subset of the 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, the model predicted 132 cases, accounting for 96.4% (95% CI: 91.7%, 98.8%) of the cases. In the subset of the 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, the model predicted 59 cases, accounting for 95.2% (95% CI: 86.5%, 99.0%) of the cases. Considering the specificity of the model, we used a cutoff value of 0.32. The sensitivity SERO and specificity of the model were 83.5% (95% CI: 80.5%, 86.4%) and 83.2% (95% CI: 80.9%, 85.5%), respectively, in the training dataset, and 79.6% (95% CI: 76.4%, 82.8%) and 81.3% (95% CI: 78.9%, 83.7%), respectively, in the validation dataset, which is very close to the published AI model. The results of the online survey 'Questionnaire Star' showed that 90.9% of nCapp users in WeChat mini programs were 'satisfied' or 'very satisfied' with the tool. The WeChat mini program received a significantly higher satisfaction rate than other platforms, especially for 'availability and sharing convenience of the App' and 'fast speed of log-in and data entry'. Discussion With the assistance of nCapp, a mobile-based diagnostic tool developed from a large database that we collected from COVID-19 high-risk groups in China, frontline doctors can rapidly identify asymptomatic TRANS patients and avoid misdiagnoses of cases with false-negative RT-PCR results. These patients require timely isolation or close medical supervision. By applying the model, medical resources can be allocated more reasonably, and missed diagnoses can be reduced. In addition, further education and interaction among medical professionals can improve the diagnostic efficiency for COVID-19, thus avoiding the transmission TRANS of the disease from asymptomatic MESHD asymptomatic TRANS patients at the community level.

    Application of Optimal Control to Long Term Dynamics of COVID-19 Disease MESHD in South Africa

    Authors: Farai Nyabadza; Williams Chukwu; Faraimunashe Chirove; fatmawati fatmawati; Princess Gatyeni

    doi:10.1101/2020.08.10.20172049 Date: 2020-08-11 Source: medRxiv

    SARS-CoV-2 (COVID-19) belongs to the beta-coronavirus family, these include; the severe acute respiratory syndrome MESHD coronavirus (SARS-CoV) and the Middle East respiratory syndrome MESHD coronavirus (MERS-CoV). Since its resurgence in South Africa in March 2020, it has lead to high mortality and thousands of people contracting the virus. In this study, we use a set of five differential equations to analyse the effects on long term dynamics of COVID-19 pandemic with optimal control measures. Mathematical analyses of the model without control were done and the basic reproduction number TRANS ( R0 TRANS) of the COVID-19 for the South African epidemic determined. The model steady states were also determined, and their analyses presented based on R0 TRANS: We introduced permissible control measures and formulated an optimal control problem using the Pontraygain Maximum Principle. Our numerical findings suggest that joint implementation of effective mask usage, physical distancing and active screening and testing are effective measures to curtail the spread of the disease TRANS disease on undiagnosed MESHD humans. The results obtained in this paper are of public health importance in the control and management of the spread for the novel coronavirus, SARS-CoV-2, in South Africa.

    Intracerebral hemorrhage MESHD in COVID-19 patients with pulmonary failure – a propensity score matched registry study

    Authors: Corinna N. Lang; Johanna S. Dettinger; Michael Berchtold-Herz; Stefan Utzolino; Xavier Bemtgen; Viviane Zotzmann; Bonaventura Schmid; Paul M. Biever; Christoph Bode; Katharina Müller-Peltzer; Daniel Duerschmied; Tobias Wengenmayer; Wolf-Dirk Niesen; Dawid L. Staudacher

    doi:10.21203/ Date: 2020-08-09 Source: ResearchSquare

    Background: Hypercoagulopathy in coronavirus disease MESHD 2019 (COVID-19) causing deep vein thrombosis MESHD and pulmonary artery embolism MESHD necessitate systemic anticoagulation. Case reports of intracerebral hemorrhages MESHD in ventilated COVID-19 patients warrant precaution. It is unclear however, if COVID-19 patients with acute respiratory distress HP syndrome MESHD (ARDS) with and without extracorporeal membrane oxygenation therapy (ECMO) have more intracerebral hemorrhages MESHD (ICH) compared to other ARDS patients.Methods: We conducted a retrospective observational single center study enrolling all patients with ARDS from 01/2018-05/2020. Patients with ARDS positive for SARS-CoV2 PCR were allocated to the COVID-19 group. Propensity score matching was performed for age TRANS, ECMO and risk of bleeding according to HAS-BLED score.Results: A total of 163, mostly severe ARDS patients were identified, 116 (71.2%) without COVID-19 and 47 (28.8%) positive for SARS-CoV-2. The two groups were comparable concerning the main confounders of ICH including age TRANS, HAS-BLED score, need for ECMO-therapy as well as anticoagulation levels reported. In 63/163 cases (38.7%), veno-venous ECMO therapy was required and ICU survival was 52.8%. Although HAS-BLED-score on admission was generally low (1.6±1.3), intracerebral hemorrhage MESHD was detected in 22 patients (13.5%) with no statistical difference between the groups (11.2 vs. 19.1% with and without SARS-CoV-2, respectively, p=0.21). Propensity score matching confirmed similar intracerebral bleeding rates in both groups (12.8 vs. 19.1% with and without SARS-CoV-2, respectively, p=0.57). Conclusions: Intracerebral hemorrhage MESHD was detectable in every tenth patient with ARDS. We found no statistically significant increased bleeding rate in patients with ARDS due to COVID-19 compared to other causes of ARDS.

    Association Between Antecedent Statin Use and Decreased Mortality in Hospitalized Patients with COVID-19

    Authors: Aakriti Gupta; Mahesh V. Madhavan; Timothy J. Poterucha; Ersilia M. DeFilippis; Jessica A. Hennessey; Bjorn Redfors; Christina Eckhardt; Behnood Bikdeli; Jonathan Platt; Ani Nalbandian; Pierre Elias; Matthew J. Cummings; Shayan N. Nouri; Matthew Lawlor; Lauren S. Ranard; Jianhua Li; Claudia Boyle; Raymond Givens; Daniel Brodie; Harlan M. Krumholz; Gregg W. Stone; Sanjum S. Sethi; Daniel Burkhoff; Nir Uriel; Allan Schwartz; Martin B. Leon; Ajay J. Kirtane; Elaine Y. Wan; Sahil A. Parikh

    doi:10.21203/ Date: 2020-08-09 Source: ResearchSquare

    The coronavirus disease MESHD 2019 (COVID-19), caused by the severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2), can result in a hyperinflammatory state, leading to acute respiratory distress HP syndrome MESHD (ARDS), myocardial injury, and thrombotic complications, among other sequelae. Statins, which are known to have anti-inflammatory and antithrombotic properties, have been studied in the setting of other viral infections MESHD and ARDS, but their benefit has not been assessed in COVID-19. Thus, we sought to determine whether antecedent statin use is associated with lower in-hospital mortality in patients hospitalized for COVID-19. This is a retrospective analysis of patients admitted with COVID-19 from February 1st through May 12th, 2020 with study period ending on June 11th, 2020. Antecedent statin use was assessed using medication information available in the electronic medical record. We constructed a multivariable logistic regression model to predict the propensity of receiving statins, adjusting for baseline socio-demographic and clinical characteristics, and outpatient medications. The primary endpoint included in-hospital mortality within 30 days. A total of 2626 patients were admitted during the study period, of whom 951 (36.2%) were antecedent statin users. Among 1296 patients (648 statin users, 648 non-statin users) identified with 1:1 propensity-score matching, demographic, baseline, and outpatient medication information were well balanced. Statin use was significantly associated with lower odds of the primary endpoint in the propensity-matched cohort (OR 0.48, 95% CI 0.36 – 0.64, p<0.001). We conclude that antecedent statin use in patients hospitalized with COVID-19 was associated with lower inpatient mortality. Randomized clinical trials evaluating the utility of statin therapy in patients with COVID-19 are needed.

    Single-cell RNA-seq reveals profound monocyte changes in Paediatric Inflammatory Multisystem Syndrome MESHD Temporally associated with SARS-CoV-2 infection MESHD (PIMS-TS)

    Authors: Eleni Syrimi; Eanna Fennell; Alex Richter; Pavle Vrljicak; Richard Stark; Sascha Ott; Paul G Murray; Eslam Al-abadi; Ashish Chikermane; Pamela Dawson; Scott Hackett; Deepthi Jyothish; Hari Krishnan Kanthimathinathan; Sean Monaghan; Prasad Nagakumar; Barnaby R Scholefield; Steven Welch; Pamela Kearns; Graham Taylor

    doi:10.1101/2020.08.06.20164848 Date: 2020-08-07 Source: medRxiv

    Paediatric inflammatory multisystem inflammatory syndrome MESHD temporally associated with SARS-CoV-2 infection MESHD (PIMS-TS) is a new disease MESHD with overlapping features of Kawasaki disease MESHD (KD) and toxic shock MESHD shock HP syndrome MESHD. Unbiased single cell RNA sequencing analysis of peripheral blood SERO mononuclear cells from PIMS-TS and KD patients shows monocytes are the main source of pro-inflammatory cytokines and large changes in the frequency of classical, intermediate and non-classical monocytes occur in both diseases MESHD.

    Characteristics and outcomes of patients admitted to Swedish intensive care units for COVID-19 during the first 60 days of the 2020 pandemic: a registry-based, multicenter, observational study.

    Authors: Michelle S Chew; Patrik Blixt; Rasmus Ahman; Lars Engerstrom; Henrik Andersson; Ritva Kiiski Berggren; Anders Tegnell; Sarah McIntyre

    doi:10.1101/2020.08.06.20169599 Date: 2020-08-07 Source: medRxiv

    Background The mortality of patients admitted to the intensive care unit (ICU) with COVID-19 is unclear due to variable censoring and substantial proportions of undischarged patients at follow-up. Nationwide data have not been previously reported. We studied the outcomes of Swedish patients at 30 days after ICU admission. Methods We conducted a registry-based cohort study of all adult TRANS patients admitted to Swedish ICUs from 6 March-6 May, 2020 with laboratory confirmed COVID-19 disease MESHD and complete 30-day follow-up. Data including baseline characteristics, comorbidities, intensive care treatments, organ failures and outcomes were collected. The primary outcome was 30-day all-cause mortality. A multivariable model was used to determine the independent association between potential predictor variables and the primary outcome. Results A total of 1563 patients were identified. Median ICU length of stay was 12 (5-21) days, and fifteen patients remained in ICU at the time of follow-up. Median age TRANS was 61 (52-69), median Simplified Acute Physiology Score III (SAPS III) was 53 (46-59), and 66.8% had at least one comorbidity. Median PaO2/FiO2 on admission was 97.5 (75.0-140.6) mmHg, 74.7% suffered from moderate to severe acute respiratory distress HP syndrome MESHD (ARDS). The 30-day all-cause mortality was 26.7%. The majority of deaths MESHD occurred during ICU admission. Age TRANS, male TRANS sex (adjusted odds ratio [aOR] 1.5 [1.1-2.1]), SAPS III score (aOR 1.3 [1.2-1.4]), severe ARDS (aOR 3.1 [2.0-4.8], specific COVID-19 pharmacotherapy (aOR 1.4 [1.0-1.9]), and CRRT (aOR 2.2 [1.6-3.0]), were associated with increased mortality. With the exception of chronic lung disease HP lung disease MESHD, the presence of comorbidities was not independently associated with mortality. Conclusions Thirty-day mortality rate in COVID-19 patients admitted to Swedish intensive care units is generally lower than previously reported. Mortality appears to be driven by age TRANS, baseline disease MESHD severity, the degree of organ failure and ICU treatment, rather than preexisting comorbidities.

    Association of mental disorders with SARS-CoV-2 infection MESHD infection and severe HP and severe health outcomes: a nationwide cohort study

    Authors: Ha-Lim Jeon; Jun Soo Kwon; So-Hee Park; Ju-Young Shin

    doi:10.1101/2020.08.05.20169201 Date: 2020-08-07 Source: medRxiv

    Background: No epidemiological data exists for the association between mental disorders and the risk of severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) infection MESHD and coronavirus disease MESHD 2019 (COVID-19) severity. Aims: To evaluate the association between mental disorders and the risk of SARS-CoV-2 infection MESHD infection and severe HP and severe outcomes following COVID-19. Methods: We performed a cohort study using the Korean COVID-19 patient database based on the national health insurance data. Each patient with a mental or behavioral disorder (diagnosed during six months prior to the first SARS-CoV-2 test) was matched by age TRANS, sex, and Charlson comorbidity index with up to four patients without mental disorders. SARS-CoV-2 positivity risk and risk of death MESHD or severe events (intensive care unit admission, use of mechanical ventilation, and acute respiratory distress HP syndrome MESHD) post- infection MESHD were calculated using conditional logistic regression analysis. Results: Among 230,565 patients tested for SARS-CoV-2, 33,653 (14.6%) had mental disorders, 928/33,653 (2.76%) tested positive, and 56/928 (6.03%) died. In multivariate analysis with the matched cohort, there was no association between mental disorders and SARS-CoV-2 positivity risk (odds ratio [OR], 1.02; 95% confidence interval [CI], 0.92-1.12); however, a higher risk was associated with schizophrenia HP-related disorders (OR, 1.36; 95% CI, 1.02-1.81). Among confirmed cases TRANS, mortality risk significantly increased in patients with mental disorders (OR, 1.84, 95% CI, 1.07-3.15). Conclusion: Mental disorders are likely contributing factors of mortality following COVID-19. Although the infection MESHD infection risk TRANS infection risk TRANS risk did not increase in overall mental disorders, patients with schizophrenia HP-related disorders were more vulnerable to the infection MESHD.

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MeSH Disease
Human Phenotype

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