Scoring systems for predicting mortality for severe patients with COVID-19.

ABSTRACT:

Background

Coronavirus disease 2019 (COVID-19) has been widely spread and caused tens of thousands of deaths, especially in patients with severe COVID-19. This analysis aimed to explore risk factors for mortality of severe COVID-19, and establish a scoring system to predict in-hospital deaths.

Methods

Patients with COVID-19 were retrospectively analyzed and clinical characteristics were compared. LASSO regression as well as multivariable analysis were used to screen variables and establish prediction model.

Findings

A total of 2529 patients with COVID-19 was retrospectively analyzed, and 452 eligible severe COVID-19 were used for finally analysis. In training cohort, the median age was 66•0 years while it was 73•0 years in non-survivors. Patients aged 60-75 years acco

SUBMITTER: Shang Y 

PROVIDER: S-EPMC7332889 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature