Nomogram for prediction of in-hospital mortality rate in children with congenital heart disease in pediatric intensive care: establishment and external validation.

ABSTRACT:

Background

The incidence of congenital heart disease (CHD) has remained constant in recent years. The mortality rate is high in CHD patients admitted to the intensive care unit (ICU), but there is limited research on risk factors for in-hospital mortality. Therefore, the aim of this study was to identify risk factors for in-hospital mortality of CHD children in the ICU and develop a nomogram model to predict in-hospital mortality.

Methods

Patient demographics, comorbidities, surgical history, laboratory indicators, and in-hospital mortality were extracted from the paediatric intensive care unit (PICU) database. These patients were divided into training and validation cohorts in a 7:3 ratio. Variable selection was performed using single-factor Cox regression and stepwise Cox

SUBMITTER: Xue L 

PROVIDER: S-EPMC12079696 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature