Development and validation of predictive models for mortality of cases with COVID-19 (Omicron BA.5.2.48 and B.7.14): a retrospective study.

ABSTRACT:

Objectives

With the emergence of new COVID-19 variants (Omicron BA.5.2.48 and B.7.14), predicting the mortality of infected patients has become increasingly challenging due to the continuous mutation of the virus. Existing models have shown poor performance and limited clinical utility. This study aims to identify the independent risk factors and develop practical predictive models for mortality among patients infected with new COVID-19 variants.

Design

A retrospective study.

Setting and participants

We extracted data from 1029 COVID-19 patients in the respiratory disease wards of a general hospital in China between 22 December 2022 and 15 February 2023.

Outcome measures

Mortality within 15 days after hospital discharge.

Results

A total of 987 cases with

SUBMITTER: Li P 

PROVIDER: S-EPMC11474906 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature