Algorithm for Individual Prediction of COVID-19-Related Hospitalization Based on Symptoms: Development and Implementation Study.

ABSTRACT:

Background

The COVID-19 pandemic has placed a huge strain on the health care system globally. The metropolitan area of Milan, Italy, was one of the regions most impacted by the COVID-19 pandemic worldwide. Risk prediction models developed by combining administrative databases and basic clinical data are needed to stratify individual patient risk for public health purposes.

Objective

This study aims to develop a stratification tool aimed at improving COVID-19 patient management and health care organization.

Methods

A predictive algorithm was developed and applied to 36,834 patients with COVID-19 in Italy between March 8 and the October 9, 2020, in order to foresee their risk of hospitalization. Exposures considered were age, sex, comorbidities, and symptoms associated

SUBMITTER: Murtas R 

PROVIDER: S-EPMC8594734 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature