Unknown

Dataset Information

Clinical and laboratory predictors for disease progression in patients with COVID-19: A multi-center cohort study.


ABSTRACT:

Background

Reliable clinical and laboratory predictors of coronavirus disease 2019 (COVID-19) disease progression could help to identify the subset of patients who are susceptible to severe symptoms. This study sought to identify the predictors for disease progression in patients with COVID-19.

Methods

This study recruited consecutive patients from four hospitals between March 1, 2020, and July 31, 2021. Demographic characteristics, laboratory results, and clinical outcomes were collected.

Results

Among the 239 enrolled patients, 39.3% (94/239) experienced in-hospital disease progression. Multivariate logistic regression revealed that coronary arterial disease (CAD) (OR, 4.15; 95% C.I., 1.47-11.66), cerebrovascular attack (CVA) (OR, 12.98; 95% C.I., 1.30-129.51), plat

SUBMITTER: Lin SM 

PROVIDER: S-EPMC9674567 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature