Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients.

ABSTRACT:

Background

The novel coronavirus disease 2019 (COVID-19) spreads rapidly among people and causes a pandemic. It is of great clinical significance to identify COVID-19 patients with high risk of death.

Methods

A total of 2169 adult COVID-19 patients were enrolled from Wuhan, China, from February 10th to April 15th, 2020. Difference analyses of medical records were performed between severe and non-severe groups, as well as between survivors and non-survivors. In addition, we developed a decision tree model to predict death outcome in severe patients.

Results

Of the 2169 COVID-19 patients, the median age was 61 years and male patients accounted for 48%. A total of 646 patients were diagnosed as severe illness, and 75 patients died. An older median age and a higher propor

SUBMITTER: Yang Q 

PROVIDER: S-EPMC8351764 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature