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10.1093/ofid/ofab233

http://scihub22266oqcxt.onion/10.1093/ofid/ofab233
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34183983!8135976!34183983
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suck abstract from ncbi

pmid34183983      Open+Forum+Infect+Dis 2021 ; 8 (6): ofab233
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  • In-Hospital 30-Day Survival Among Young Adults With Coronavirus Disease 2019: A Cohort Study #MMPMID34183983
  • Richardson S; Gitlin J; Kozel Z; Levy S; Rahman H; Hirsch JS; McGinn T; Diefenbach MA
  • Open Forum Infect Dis 2021[Jun]; 8 (6): ofab233 PMID34183983show ga
  • 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: 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: 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; P = .002) and Charlson comorbidity index score (aHR, 1.20; 95% CI, 1.07-1.35; P = .002) were independent predictors of in-hospital 30-day mortality. CONCLUSIONS: Obesity was identified as the strongest negative predictor of 30-day in-hospital survival in young adults with COVID-19.
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