A novel nomogram for the early identification of coinfections in elderly patients with coronavirus disease 2019.

ABSTRACT:

Objectives

This study aimed to establish a novel and practical nomogram for use upon hospital admission to identify coinfections among elderly patients with coronavirus disease 2019 (COVID-19) to provide timely intervention, limit antimicrobial agent overuse, and finally reduce unfavourable outcomes.

Methods

This prospective cohort study included COVID-19 patients consecutively admitted at multicenter medical facilities in a two-stage process. The nomogram was built on the multivariable logistic regression analysis. The performance of the nomogram was assessed for discrimination and calibration using receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) in rigorous internal and external validation settings. Two different cutoff values

SUBMITTER: Zou J 

PROVIDER: S-EPMC12231678 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature