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Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection.
McPadden, Jacob; Warner, Frederick; Young, H Patrick; Hurley, Nathan C; Pulk, Rebecca A; Singh, Avinainder; Durant, Thomas J S; Gong, Guannan; Desai, Nihar; Haimovich, Adrian; Taylor, Richard Andrew; Gunel, Murat; Dela Cruz, Charles S; Farhadian, Shelli F; Siner, Jonathan; Villanueva, Merceditas; Churchwell, Keith; Hsiao, Allen; Torre, Charles J; Velazquez, Eric J; Herbst, Roy S; Iwasaki, Akiko; Ko, Albert I; Mortazavi, Bobak J; Krumholz, Harlan M; Schulz, Wade L.
  • McPadden J; Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Warner F; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Young HP; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Hurley NC; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Pulk RA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Singh A; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Durant TJS; Department of Computer Science and Engineering, Texas A&M University, College Station, Texas, United States of America.
  • Gong G; Corporate Pharmacy Services, Yale New Haven Health, New Haven, Connecticut, United States of America.
  • Desai N; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Haimovich A; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Taylor RA; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Gunel M; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Dela Cruz CS; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Farhadian SF; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Siner J; Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Villanueva M; Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Churchwell K; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Hsiao A; Medical Scientist Training Program, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Torre CJ; Yale Center for Genome Analysis, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Velazquez EJ; Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Herbst RS; Department of Internal Medicine, Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Iwasaki A; Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Ko AI; Department of Internal Medicine, Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Mortazavi BJ; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
  • Krumholz HM; Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Schulz WL; Yale New Haven Hospital, New Haven, Connecticut, United States of America.
PLoS One ; 16(3): e0243291, 2021.
Article in English | MEDLINE | ID: covidwho-1167010
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT

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 SARS-CoV-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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0243291

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0243291