Predictive model for bacterial co-infection in patients hospitalized for COVID-19: a multicenter observational cohort study.

ABSTRACT:

Objective

The aim of our study was to build a predictive model able to stratify the risk of bacterial co-infection at hospitalization in patients with COVID-19.

Methods

Multicenter observational study of adult patients hospitalized from February to December 2020 with confirmed COVID-19 diagnosis. Endpoint was microbiologically documented bacterial co-infection diagnosed within 72 h from hospitalization. The cohort was randomly split into derivation and validation cohort. To investigate risk factors for co-infection univariable and multivariable logistic regression analyses were performed. Predictive risk score was obtained assigning a point value corresponding to β-coefficients to the variables in the multivariable model. ROC analysis in the validation cohort was used to est

SUBMITTER: Giannella M 

PROVIDER: S-EPMC9053127 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature