Development of a novel risk score for the prediction of critical illness amongst COVID-19 patients.

ABSTRACT:

Objectives

Coronavirus disease-19 (COVID-19) is associated with various clinical manifestations, ranging from asymptomatic infection to critical illness. The aim of this study is to evaluate the clinical and laboratory characteristics of hospitalised COVID-19 patients and construct a predictive model for the discrimination of patients at risk of disease progression.

Methods

A single-centre cohort study was conducted including consecutively patients with COVID-19. Demographic, clinical and laboratory findings were prospectively collected at admission. The primary outcome of interest was the intensive care unit admission. A risk model was constructed by applying a Cox's proportional hazard's model with elastic net penalty. Its diagnostic performance was assessed by receiver op

SUBMITTER: Bellos I 

PROVIDER: S-EPMC7883033 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature