LVEF 53% as a Novel Mortality Predictor in Pediatric Heart Failure: A Multicenter Biomarker-Stratified Analysis

Muhammad Junaid Akram1,2, Jiajin Li1,2, Asad Nawaz1,2

  • 1Ministry of Education Key Laboratory of Child Development and Disorders, Department of Pediatric Cardiology, National Clinical Key Cardiovascular Specialty, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.

PubMed

Insights

A new 53% left ventricular ejection fraction (LVEF) threshold improves pediatric heart failure (PHF) risk prediction. This optimized LVEF cutoff, combined with biomarkers, enhances mortality assessment in children with PHF.

Area of Science:

  • Pediatric Cardiology
  • Cardiovascular Research
  • Clinical Diagnostics

Background:

  • Pediatric heart failure (PHF) presents significant morbidity and mortality challenges.
  • Standardized diagnostic and prognostic tools, especially those using left ventricular ejection fraction (LVEF), are lacking for PHF.
  • Current LVEF thresholds may not accurately stratify risk in pediatric populations.

Purpose of the Study:

  • To evaluate clinical profiles, treatments, and outcomes across different LVEF thresholds in pediatric heart failure patients.
  • To identify an optimal LVEF cutoff for refining risk stratification and predicting mortality in PHF.
  • To compare the diagnostic accuracy of conventional versus data-driven LVEF thresholds.

Main Methods:

  • A multicenter retrospective cohort study involving 1449 pediatric heart failure patients (ages 1-18).
  • Analysis of clinical data from 2013-2022 across 30 tertiary centers.
  • Left ventricular ejection fraction (LVEF) was stratified using conventional (50%, 55%) and an ROC-optimized cutoff (53%). Mortality was assessed using multivariable logistic regression and AUC analysis.

Main Results:

  • Distinct clinical profiles and treatment variations were observed across LVEF strata.
  • An optimized LVEF threshold of 53% demonstrated superior accuracy for mortality prediction compared to 50% and 55%.
  • Elevated BNP and NT-proBNP levels were strong predictors of mortality risk in PHF patients.

Conclusions:

  • An LVEF of 53% is identified as the optimal threshold for predicting mortality in pediatric heart failure.
  • Integrating this optimized LVEF with biomarkers like BNP/NT-proBNP offers a robust prognostic framework.
  • The findings highlight the need for pediatric-specific LVEF criteria and comprehensive risk assessment in managing PHF.

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