Risk stratification scores for hospitalization duration and disease progression in moderate and severe patients with COVID-19.

ABSTRACT:

Background

During outbreak of Coronavirus Disease 2019 (COVID-19), healthcare providers are facing critical clinical decisions based on the prognosis of patients. Decision support tools of risk stratification are needed to predict outcomes in patients with different clinical types of COVID-19.

Methods

This retrospective cohort study recruited 2425 patients with moderate or severe COVID-19. A logistic regression model was used to select and estimate the factors independently associated with outcomes. Simplified risk stratification score systems were constructed to predict outcomes in moderate and severe patients with COVID-19, and their performances were evaluated by discrimination and calibration.

Results

We constructed two risk stratification score systems, named as

SUBMITTER: Huang J 

PROVIDER: S-EPMC8045569 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature