Work

Development and verification of a prediction model for delirium in critically ill children

Year: 2025

Type: article

Abstract: PURPOSE: Delirium is a common syndrome in the intensive care unit (ICU), with a high incidence in critically ill children. This study aims to develop and validate a prediction model for delirium in critically ill children, which could potentially enhance early identification and management strategies. METHODS: In this prospective cohort study, we collected 1,047 critically ill children admitted to the pediatric intensive care unit (PICU) of a tertiary children's hospital from November 2021 to November 2023. Based on the risk prediction model derived from multiple logistic regression analysis performed with SPSS software, a nomogram was constructed using R software. The model's predictive performance was evaluated through analysis of the area under the curve (AUC) of the receiver operating characteristic curve (ROC) and the calibration curve for discriminatory ability and accuracy. RESULTS: value of 15.23 (P > .05), demonstrating satisfactory discriminatory performance and good calibration of the predictive model. CONCLUSIONS: This study provided a predictive model for the occurrence of delirium in critically ill children, enabling nurses to accurately assess delirium risk and enhance the quality of nursing care for this vulnerable patient population.

Source: Asian Nursing Research

DOI: 10.1016/j.anr.2025.05.008