Association of race/ethnicity and socioeconomic status with COVID-19 30-day mortality at a Philadelphia medical center using a retrospective cohort study

© 2021 Wiley Periodicals LLC..

COVID-19 has disproportionately affected low-income communities and people of color. Previous studies demonstrated that race/ethnicity and socioeconomic status (SES) are not independently correlated with COVID-19 mortality. The purpose of our study is to determine the effect of race/ethnicity and SES on COVID-19 30-day mortality in a diverse, Philadelphian population. This is a retrospective cohort study in a single-center tertiary care hospital in Philadelphia, PA. The study includes adult patients hospitalized with polymerase-chain-reaction-confirmed COVID-19 between March 1, 2020 and June 6, 2020. The primary outcome was a composite of COVID-19 death or hospice discharge within 30 days of discharge. The secondary outcome was intensive care unit (ICU) admission. The study included 426 patients: 16.7% died, 3.3% were discharged to hospice, and 20.0% were admitted to the ICU. Using multivariable analysis, race/ethnicity was not associated with the primary nor secondary outcome. In Model 4, age greater than 75 (odds ratio [OR]: 11.01; 95% confidence interval [CI]: 1.96-61.97) and renal disease (OR: 2.78; 95% CI: 1.31-5.90) were associated with higher odds of the composite primary outcome. Living in a "very-low-income area" (OR: 0.29; 95% CI: 0.12-0.71) and body mass index (BMI) 30-35 (OR: 0.24; 95% CI: 0.08-0.69) were associated with lower odds of the primary outcome. When controlling for demographics, SES, and comorbidities, race/ethnicity was not independently associated with the composite primary outcome. Very-low SES, as extrapolated from census-tract-level income data, was associated with lower odds of the composite primary outcome.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:94

Enthalten in:

Journal of medical virology - 94(2022), 3 vom: 05. März, Seite 906-917

Sprache:

Englisch

Beteiligte Personen:

Cheney-Peters, Dianna R [VerfasserIn]
Lee, Crystal Y [VerfasserIn]
Mitsuhashi, Shuji [VerfasserIn]
Zaret, Dina S [VerfasserIn]
Riley, Joshua M [VerfasserIn]
Venkataraman, Chantel M [VerfasserIn]
Schaefer, Joseph W [VerfasserIn]
George, Brandon J [VerfasserIn]
Li, Chris J [VerfasserIn]
Smaltz, Christa M [VerfasserIn]
Bradley, Conor G [VerfasserIn]
Fitzpatrick, Danielle M [VerfasserIn]
Ney, David B [VerfasserIn]
Chalikonda, Divya M [VerfasserIn]
Mairose, Joshua D [VerfasserIn]
Chauhan, Kashyap [VerfasserIn]
Szot, Margaret V [VerfasserIn]
Jones, Robert B [VerfasserIn]
Bashir-Hamidu, Rukaiya [VerfasserIn]
Kubey, Alan A [VerfasserIn]

Links:

Volltext

Themen:

Biostatistics & bioinformatics
Epidemiology
Infection
Journal Article
Pandemics
Public policy
SARS coronavirus
Social science
Virus classification

Anmerkungen:

Date Completed 03.06.2022

Date Revised 05.10.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1002/jmv.27365

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM331273055