Bedside clinical prediction tool for mortality in critically ill children.

ABSTRACT:

Introduction

Mortality rates among critically ill pediatric patients remain a persistent challenge. It is imperative to identify patients at higher risk to effectively allocate appropriate resources. Our study aimed to develop a prediction score based on clinical parameters and hemogram to predict pediatric intensive care unit (PICU) mortality.

Methods

We conducted a retrospective study to develop a clinical prediction score using data from children aged 1 month to 18 years admitted for at least 24 hours to the PICU at Chiang Mai University between January 2018 and December 2022. PICU mortality was defined as death within 28 days of admission. The score was developed using multivariable logistic regression and assessed for calibration and discrimination.

Results

There

SUBMITTER: Sunkonkit K 

PROVIDER: S-EPMC12021240 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature