Clinical characteristics and predictive models for hospitalized patients with COVID-19 combined with bacterial pneumonia.

ABSTRACT:

Background

This study aimed to analyze the clinical characteristics of hospitalized patients with COVID-19 combined with bacterial pneumonia and establish a predictive model to assist clinicians in the differential diagnosis and evaluation of the effectiveness of antibiotic treatment.

Methods

In this retrospective study, we collected clinical, biochemical, imaging, and microbiological data from hospitalized patients with COVID-19 admitted to our hospital between December 1, 2022, and February 7, 2023. Univariate and multivariate analyses revealed independent risk factors for bacterial pneumonia in COVID-19 patients. Model performance was assessed via the area under the curve (AUC).

Results

A total of 5358 COVID-19 patients were screened, and data from 1794 patients we

SUBMITTER: Yuan M 

PROVIDER: S-EPMC12637964 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature