Predicting nosocomial infections in critically Ill children: a comprehensive systematic review of risk assessment models.

ABSTRACT:

Background

Nosocomial infections (NIs) pose a substantial global health challenge, affecting an estimated 7%-10% of hospitalized patients worldwide. Neonatal intensive care units (NICUs) are particularly vulnerable, with NIs representing a leading cause of infant morbidity and mortality. Similarly, pediatric intensive care units (PICUs) report that 28% of admitted children acquire NIs during hospitalization. Although prediction models offer a promising approach to identifying high-risk individuals, a systematic evaluation of existing models for ICU-ill children remains lacking.

Aim

This review systematically synthesizes and critically evaluates published prediction models for assessing NI risk in ill children in the ICU.

Methods

We conducted a comprehensive search of

SUBMITTER: Wang LY 

PROVIDER: S-EPMC12459274 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature