In-Hospital 30-Day Survival Among Young Adults With Coronavirus Disease 2019: A Cohort Study.

coronavirus disease 2019 (COVID-19) mortality severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) young adults

Journal

Open forum infectious diseases
ISSN: 2328-8957
Titre abrégé: Open Forum Infect Dis
Pays: United States
ID NLM: 101637045

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 11 11 2020
accepted: 05 05 2021
entrez: 29 6 2021
pubmed: 30 6 2021
medline: 30 6 2021
Statut: epublish

Résumé

Our objective was to characterize young adult patients hospitalized with coronavirus disease 2019 (COVID-19) and identify predictors of survival at 30 days. This retrospective cohort study took place at 12 acute care hospitals in the New York City area. Patients aged 18-39 hospitalized with confirmed COVID-19 between March 1 and April 27, 2020 were included in the study. Demographic, clinical, and outcome data were extracted from electronic health record reports. A total of 1013 patients were included in the study (median age, 33 years; interquartile range [IQR], 28-36; 52% female). At the study end point, 940 (92.8%) patients were discharged alive, 18 (1.8%) remained hospitalized, 5 (0.5%) were transferred to another acute care facility, and 50 (4.9%) died. The most common comorbidities in hospitalized young adult patients were obesity (51.2%), diabetes mellitus (14.8%), and hypertension (13%). Multivariable analysis revealed that obesity (adjusted hazard ratio [aHR], 2.71; 95% confidence interval [CI], 1.28-5.73; Obesity was identified as the strongest negative predictor of 30-day in-hospital survival in young adults with COVID-19.

Sections du résumé

BACKGROUND BACKGROUND
Our objective was to characterize young adult patients hospitalized with coronavirus disease 2019 (COVID-19) and identify predictors of survival at 30 days.
METHODS METHODS
This retrospective cohort study took place at 12 acute care hospitals in the New York City area. Patients aged 18-39 hospitalized with confirmed COVID-19 between March 1 and April 27, 2020 were included in the study. Demographic, clinical, and outcome data were extracted from electronic health record reports.
RESULTS RESULTS
A total of 1013 patients were included in the study (median age, 33 years; interquartile range [IQR], 28-36; 52% female). At the study end point, 940 (92.8%) patients were discharged alive, 18 (1.8%) remained hospitalized, 5 (0.5%) were transferred to another acute care facility, and 50 (4.9%) died. The most common comorbidities in hospitalized young adult patients were obesity (51.2%), diabetes mellitus (14.8%), and hypertension (13%). Multivariable analysis revealed that obesity (adjusted hazard ratio [aHR], 2.71; 95% confidence interval [CI], 1.28-5.73;
CONCLUSIONS CONCLUSIONS
Obesity was identified as the strongest negative predictor of 30-day in-hospital survival in young adults with COVID-19.

Identifiants

pubmed: 34183983
doi: 10.1093/ofid/ofab233
pii: ofab233
pmc: PMC8135976
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ofab233

Subventions

Organisme : NIA NIH HHS
ID : R24 AG064191
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM012836
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA224918
Pays : United States
Organisme : ACL HHS
ID : U01OH011690
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL145114
Pays : United States

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

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Auteurs

Safiya Richardson (S)

Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, New York, USA.

Jordan Gitlin (J)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, New York, USA.

Zachary Kozel (Z)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, New York, USA.

Sera Levy (S)

Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.

Husneara Rahman (H)

Biostatistics Unit, Feinstein Institutes for Medical Research, Northwell Health, Great Neck, New York, USA.

Jamie S Hirsch (JS)

Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, New York, USA.
Department of Information Services, Northwell Health, New Hyde Park, New York, USA.

Thomas McGinn (T)

Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, New York, USA.

Michael A Diefenbach (MA)

Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, New York, USA.

Classifications MeSH