Clinical Characteristics and Outcomes for 7,995 Patients with SARS-CoV-2 Infection.
Autor: | McPadden J; Department of Pediatrics, Yale School of Medicine, New Haven, CT., Warner F; Department of Pediatrics, Yale School of Medicine, New Haven, CT.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT., Young HP; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT.; Department of Internal Medicine, Yale University School of Medicine, New Haven, CT., Hurley NC; Department of Computer Science and Engineering, Texas A&M University, College Station, TX., Pulk RA; Corporate Pharmacy Services, Yale New Haven Health, New Haven, CT., Singh A; Department of Internal Medicine, Yale University School of Medicine, New Haven, CT., Durant TJ; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT.; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT., Gong G; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT.; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, CT., Desai N; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT., Haimovich A; Yale School of Medicine, New Haven, CT., Taylor RA; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT., Gunel M; Department of Genetics, Yale University School of Medicine, New Haven, CT.; Medical Scientist Training Program, Yale University School of Medicine, New Haven, CT.; Yale Center for Genome Analysis, Yale University School of Medicine, New Haven, CT.; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT., Cruz CSD; Department of Internal Medicine, Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT., Farhadian SF; Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT., Siner J; Department of Internal Medicine, Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT., Villanueva M; Department of Internal Medicine, Yale University School of Medicine, New Haven, CT.; Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT., Churchwell K; Yale New Haven Hospital, New Haven, CT., Hsiao A; Department of Pediatrics, Yale School of Medicine, New Haven, CT.; Information Technology Services, Yale New Haven Health, New Haven, CT., Torre CJ Jr; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT.; Information Technology Services, Yale New Haven Health, New Haven, CT., Velazquez EJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT., Herbst RS; Yale Comprehensive Cancer Center, Yale School of Medicine, New Haven, CT., Iwasaki A; Department of Immunobiology, Yale University School of Medicine, New Haven, CT.; Howard Hughes Medical Institute, Chevy Chase, MD., Ko AI; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT., Mortazavi BJ; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT.; Department of Computer Science and Engineering, Texas A&M University, College Station, TX.; Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX., Krumholz HM; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT.; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT., Schulz WL; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT.; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT. |
---|---|
Jazyk: | angličtina |
Zdroj: | MedRxiv : the preprint server for health sciences [medRxiv] 2020 Nov 08. Date of Electronic Publication: 2020 Nov 08. |
DOI: | 10.1101/2020.07.19.20157305 |
Abstrakt: | Objective: Severe acute respiratory syndrome virus (SARS-CoV-2) has infected millions of people worldwide. Our goal was to identify risk factors associated with admission and disease severity in patients with SARS-CoV-2. Design: This was an observational, retrospective study based on real-world data for 7,995 patients with SARS-CoV-2 from a clinical data repository. Setting: Yale New Haven Health (YNHH) is a five-hospital academic health system serving a diverse patient population with community and teaching facilities in both urban and suburban areas. Populations: The study included adult patients who had SARS-CoV-2 testing at YNHH between March 1 and April 30, 2020. Main Outcome and Performance Measures: Primary outcomes were admission and in-hospital mortality for patients with SARS-CoV-2 infection as determined by RT-PCR testing. We also assessed features associated with the need for respiratory support. Results: Of the 28605 patients tested for SARS-CoV-2, 7995 patients (27.9%) had an infection (median age 52.3 years) and 2154 (26.9%) of these had an associated admission (median age 66.2 years). Of admitted patients, 2152 (99.9%) had a discharge disposition at the end of the study period. Of these, 329 (15.3%) required invasive mechanical ventilation and 305 (14.2%) expired. Increased age and male sex were positively associated with admission and in-hospital mortality (median age 80.7 years), while comorbidities had a much weaker association with the risk of admission or mortality. Black race (OR 1.43, 95%CI 1.14-1.78) and Hispanic ethnicity (OR 1.81, 95%CI 1.50-2.18) were identified as risk factors for admission, but, among discharged patients, age-adjusted in-hospital mortality was not significantly different among racial and ethnic groups. Conclusions: This observational study identified, among people testing positive for SARSCoV-2 infection, older age and male sex as the most strongly associated risks for admission and in-hospital mortality in patients with SARS-CoV-2 infection. While minority racial and ethnic groups had increased burden of disease and risk of admission, age-adjusted in-hospital mortality for discharged patients was not significantly different among racial and ethnic groups. Ongoing studies will be needed to continue to evaluate these risks, particularly in the setting of evolving treatment guidelines. Competing Interests: Competing Interests H.M.K. works under contract with the Centers for Medicare & Medicaid Services to support quality measurement programs; was a recipient of a research grant, through Yale, from Medtronic and the U.S. Food and Drug Administration to develop methods for post-market surveillance of medical devices; was a recipient of a research grant from Johnson & Johnson, through Yale University, to support clinical trial data sharing; was a recipient of a research agreement, through Yale University, from the Shenzhen Center for Health Information for work to advance intelligent disease prevention and health promotion; collaborates with the National Center for Cardiovascular Diseases in Beijing; receives payment from the Arnold & Porter Law Firm for work related to the Sanofi clopidogrel litigation, from the Martin Baughman Law Firm for work related to the Cook Celect IVC filter litigation, and from the Siegfried and Jensen Law Firm for work related to Vioxx litigation; chairs a Cardiac Scientific Advisory Board for UnitedHealth; was a member of the IBM Watson Health Life Sciences Board; is a member of the Advisory Board for Element Science, the Advisory Board for Facebook, and the Physician Advisory Board for Aetna; and is the co-founder of HugoHealth, a personal health information platform, and co-founder of Refactor Health, a healthcare AI-augmented data management company. W.L.S. was an investigator for a research agreement, through Yale University, from the Shenzhen Center for Health Information for work to advance intelligent disease prevention and health promotion; collaborates with the National Center for Cardiovascular Diseases in Beijing; is a technical consultant to HugoHealth, a personal health information platform, and cofounder of Refactor Health, an AI-augmented data management platform for healthcare; is a consultant for Interpace Diagnostics Group, a molecular diagnostics company. |
Databáze: | MEDLINE |
Externí odkaz: |