Clinical and Echocardiographic Determinants of Moderate Heart Failure in Children with Acyanotic Congenital Heart

I Ketut Alit Utamayasa1,2, Prima Hari Nastiti1,2, Ayurveda Zaynabila Heriqbaldi3

  • 1Department of Child Health, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia.

Insights

Left ventricular remodeling and elevated mean pulmonary arterial pressure are key indicators of moderate heart failure in children with acyanotic congenital heart disease. These findings aid in developing predictive models for pediatric heart failure management.

Area of Science:

  • Pediatric Cardiology
  • Congenital Heart Disease
  • Heart Failure Research

Background:

  • Heart failure (HF) is a significant complication in pediatric acyanotic congenital heart disease (CHD).
  • Limited evidence exists for integrating clinical and echocardiographic data to stratify HF severity in this population.
  • This study addresses the need for better HF assessment tools in children with acyanotic CHD.

Purpose of the Study:

  • To identify factors associated with moderate heart failure in pediatric acyanotic CHD.
  • To develop and internally validate an exploratory prediction model for moderate HF.
  • To improve the understanding and management of HF in children with CHD.

Main Methods:

  • Retrospective analysis of 219 children (0-16 years) with acyanotic CHD.
  • Defined moderate HF using Ross score or NYHA class.
  • Employed Firth's penalized logistic regression and internal validation techniques (bootstrap, LOOCV).

Main Results:

  • Moderate HF identified in 59.8% of patients.
  • Left ventricular (LV) remodeling (LVIDD z-score > +2) and elevated mean pulmonary arterial pressure (MPAP) were independently associated with moderate HF.
  • An MPAP threshold of ≥26.4 mmHg showed 78.6% sensitivity for identifying moderate HF.

Conclusions:

  • LV remodeling and elevated MPAP are significant independent predictors of moderate HF in pediatric acyanotic CHD.
  • The exploratory prediction model showed acceptable discrimination using routine variables.
  • Further prospective, multicenter external validation is necessary before clinical application.

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