Unknown

Dataset Information

Impact of age, sex, race, and regionality on major clinical outcomes of COVID-19 in hospitalized patients in the United States.


ABSTRACT:

Background

The COVID-19 pandemic has affected all people across the globe. Regional and community differences in timing and severity of surges throughout the pandemic can provide insight into risk factors for worse outcomes in those hospitalized with COVID-19.

Methods

The study cohort was derived from the Cerner Real World Data (CRWD) COVID-19 Database made up of hospitalized patients with proven infection from December 1, 2019 through November 30, 2020. Baseline demographic information, comorbidities, and hospital characteristics were obtained. We performed multivariate analysis to determine if age, race, comorbidity and regionality were predictors for mortality, ARDS, mechanical ventilation or sepsis hospitalized patients with COVID-19.

Results

Of 100,902 hospitaliz

SUBMITTER: Sundaram SS 

PROVIDER: S-EPMC9335459 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature