Individualizing Risk Prediction for Positive Coronavirus Disease 2019 Testing: Results From 11,672 Patients.
Lara Jehi,Xinge Ji,Alex Milinovich,Serpil C. Erzurum,Brian P. Rubin,Steve Gordon,James B. Young,Michael W. Kattan +7 more
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TLDR
Relevance of age, race, gender, and socioeconomic characteristics in COVID-19-susceptibility is demonstrated and a potential modifying role of certain common vaccinations and drugs identified in drug-repurposing studies is suggested.Citations
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Risk of symptomatic severe acute respiratory syndrome coronavirus 2 infection not associated with influenza vaccination in the 2019-2020 season.
TL;DR: The association of influenza vaccine and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was assessed by test-negative design using data collected for a study of outpatient COVID-19-like illness with onset dates from June to September 2020 as mentioned in this paper.
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Complementary Sets of Autoantibodies Induced by SARS-CoV-2, Adenovirus and Bacterial Antigens Cross-React with Human Blood Protein Antigens in COVID-19 Coagulopathies
TL;DR: Since most COVID-19 coagulopathy patients display autoantibodies against vWF, PDE and PF4 along with CL, combinations of viral and bacterial infections appear to be necessary to initiate their autoimmune coagULopathies.
Journal ArticleDOI
Correction: Perceptions of risk for COVID-19 among individuals with chronic diseases and stakeholders in Central Appalachia
Manik Ahuja,Hadii M. Mamudu,Florence M. Weierbach,KariLynn Dowling-McClay,David W. Stewart,Manul Awasthi,Timir K. Paul +6 more
TL;DR: In this article, the authors explored the association between actual risk and perceived risk for one's self, family/friends and friends, and community, and concluded that individuals' actual risk for COVID-19 is associated with their own perception of risk.
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Ecological fallacy in COVID-19 epidemiological inference: Influenza vaccination rate as an example.
Journal ArticleDOI
Decision-making About Risk in the Era of the Novel Coronavirus Disease.
TL;DR: This issue of CHEST, Jehi et al present a mathematical model that integrates descriptive data about patients (eg, social factors, COVID-19 exposure, comorbidities, medications) with clinical data about outcomes of CO VID-19 tests, and provides a free step-by-step decision tool to individualize risk predictions for patients.
References
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Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support
Paul A. Harris,Robert W. Taylor,Robert J. Thielke,Jonathon Payne,Nathaniel Gonzalez,José G. Conde +5 more
TL;DR: Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data Capture tools to support clinical and translational research.
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Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.
Fei Zhou,Ting Yu,Ronghui Du,Guohui Fan,Ying Liu,Zhibo Liu,Jie Xiang,Yeming Wang,Bin Song,Xiaoying Gu,Xiaoying Gu,Lulu Guan,Yuan Wei,Li Hui,Xudong Wu,Jiuyang Xu,Shengjin Tu,Yi Zhang,Hua Chen,Bin Cao +19 more
TL;DR: Wang et al. as discussed by the authors used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death, including older age, high SOFA score and d-dimer greater than 1 μg/mL.
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Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
Nanshan Chen,Min Zhou,Xuan Dong,Jie-Ming Qu,Fengyun Gong,Yang Han,Yang Qiu,Jingli Wang,Ying Liu,Yuan Wei,Jia'an Xia,Ting Yu,Xinxin Zhang,Li Zhang +13 more
TL;DR: Characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia, and further investigation is needed to explore the applicability of the Mu LBSTA scores in predicting the risk of mortality in 2019-nCoV infection.
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The REDCap consortium: Building an international community of software platform partners.
Paul A. Harris,Paul A. Harris,Robert Taylor,Brenda L. Minor,Veida Elliott,Michelle Fernandez,Lindsay O'Neal,Laura McLeod,Giovanni Delacqua,Francesco Delacqua,Jacqueline Kirby,Stephany N. Duda +11 more
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Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study.
Xiaobo Yang,Yuan Yu,Jiqian Xu,Huaqing Shu,Jia'an Xia,Hong Liu,Hong Liu,Yongran Wu,Lu Zhang,Zhui Yu,Minghao Fang,Ting Yu,Yaxin Wang,Shangwen Pan,Xiaojing Zou,Shiying Yuan,You Shang,You Shang +17 more
TL;DR: The clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia who were admitted to the intensive care unit (ICU) of Wuhan Jin Yin-tan hospital between late December, 2019 and Jan 26, 2020 are described.
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