ORIGINAL RESEARCH article
Front. Public Health
Sec. Children and Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1692007
Development and Validation of a Prognostic Risk Model for Pediatric Patients with Left-to-Right Shunt Congenital Heart Disease and Heart Failure
Provisionally accepted- First Affiliated Hospital, Guangxi Medical University, Nanning, China
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This retrospective study aimed to develop a reliable prognostic model for pediatric patients with left-to-right (L-R) shunt congenital heart disease (CHD) complicated by heart failure (HF), based on clinical data collected from 407 cases between August 2012 and June 2024. The cohort included 63.4% male patients with a median age of 4.33 months, and participants were randomly assigned to a training set (n=284, 69.8%) and an internal validation set (n=123, 30.2%). Univariate and multivariate Cox regression analyses combined with LASSO regression were used to identify key independent prognostic variables for overall survival (OS): modified Ross classification, N-terminal pro-brain natriuretic peptide (NT-proBNP) levels exceeding 5743 pg/mL, elevated blood urea nitrogen (BUN), presence of shock, and history of thoracotomy. These factors were integrated to construct a nomogram, which showed strong prognostic performance—concordance indices (C-index) were 0.829 in the training set and 0.850 in the validation set. Survival analysis revealed significant differences in 3-, 6-, and 12-month OS between high-risk and low-risk groups stratified by nomogram scores. These findings suggest that the proposed nomogram, when applied to pediatric populations with L-R shunt CHD and HF who share baseline characteristics similar to those in our study, could serve as a promising auxiliary tool for early risk stratification and clinical decision-making.
Keywords: Left-to-Right Shunt Congenital Heart Disease, Heart Failure, Pediatrics, Prognostic prediction, Risk model, survival analysis
Received: 25 Aug 2025; Accepted: 22 Oct 2025.
Copyright: © 2025 Zhang, Huang, Huang and Pang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yusheng Pang, pang_yusheng@163.com
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