Risk factors and prediction model for carbapenem-resistant organism infection in sepsis patients.

ABSTRACT:

Background

It aimed to identify the key risk factors associated with carbapenem-resistant organism (CRO) infections in septic patients, and subsequently develop a nomogram and assess its predictive accuracy.

Methods

The study population comprised adult critically ill patients with sepsis, drawn from the MIMIC-IV 2.0 data set. The data were split into a training set and a validation set at a 7:3 ratio. Independent predictors were identified using both univariate and multivariate logistic regression models, followed by the construction of a nomogram. The predictive performance of the model was evaluated using the C-index, receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration curve, and decision curve.

Results

We enrolled 8814 patients, w

SUBMITTER: Liu R 

PROVIDER: S-EPMC11934461 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature