Development and validation of a predictive model for critical illness in adult patients requiring hospitalization for COVID-19.

ABSTRACT:

Background

Identifying factors that can predict severe disease in patients needing hospitalization for COVID-19 is crucial for early recognition of patients at greatest risk.

Objective

(1) Identify factors predicting intensive care unit (ICU) transfer and (2) develop a simple calculator for clinicians managing patients hospitalized with COVID-19.

Methods

A total of 2,685 patients with laboratory-confirmed COVID-19 admitted to a large metropolitan health system in Georgia, USA between March and July 2020 were included in the study. Seventy-five percent of patients were included in the training dataset (admitted March 1 to July 10). Through multivariable logistic regression, we developed a prediction model (probability score) for ICU transfer. Then, we validated the mod

SUBMITTER: Paranjape N 

PROVIDER: S-EPMC7978341 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature