Development and validation of nomogram models for severe and fatal COVID-19.

ABSTRACT:

Background

The coronavirus disease 2019 (COVID-19) has exhibited escalating contagion and resistance to immunity, resulting in a surge in infections and severe cases. This study endeavors to formulate two nomogram predictive models aimed at discerning patients at heightened risk of severe and fatal outcomes upon hospital admission. The primary objective is to enhance clinical management protocols and mitigate the incidence of severe illness and mortality associated with COVID-19.

Methods

1600 patients diagnosed with COVID-19 and discharged from Fujian Provincial Hospital were chosen as the subjects of this study. These patients were categorized into three groups: mild group (n = 940), severe group (n = 433), and fatal group (n = 227). The patients were randomly divided into

SUBMITTER: Chen J 

PROVIDER: S-EPMC11589750 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature