The Prevalence of Malnutrition in Children With Congenital Heart Disease: A Meta-Analysis

Insights

Malnutrition is prevalent in children with congenital heart disease (CHD), varying by age and specific conditions like pulmonary arterial hypertension (PAH). Early, tailored interventions are crucial for improving growth outcomes in this population.

Area of Science:

  • Pediatric Cardiology
  • Nutritional Science
  • Public Health

Background:

  • Congenital heart disease (CHD) is associated with a high prevalence of malnutrition in children.
  • Variability in previous findings necessitates a comprehensive meta-analysis to accurately estimate malnutrition risk.
  • Understanding the link between malnutrition and CHD-specific characteristics is vital for targeted interventions.

Purpose of the Study:

  • To estimate the pooled prevalence of malnutrition (underweight, stunting, wasting) in children with CHD, stratified by age group.
  • To investigate the association between malnutrition and specific CHD disease characteristics.
  • To provide evidence for improved growth monitoring and intervention strategies.

Main Methods:

  • A systematic meta-analysis was conducted adhering to PRISMA guidelines.
  • Prevalence of underweight, stunting, and wasting was pooled across 37 studies.
  • Statistical analysis examined the odds of malnutrition based on CHD characteristics and age groups.

Main Results:

  • The pooled prevalence of underweight was 34.3%, stunting 30.8%, and wasting 25.5% across over 70,000 children.
  • Malnutrition prevalence varied by age, with infants most affected by underweight and toddlers/preschoolers by stunting and wasting.
  • Children with pulmonary arterial hypertension (PAH) showed significantly higher odds of all malnutrition types; cyanosis was linked to increased stunting risk.

Conclusions:

  • Malnutrition is a significant concern in children with CHD, influenced by age and specific disease factors.
  • Elevated malnutrition risks in children with PAH and cyanosis highlight the need for disease-specific monitoring.
  • Personalized interventions considering age and clinical profile are essential for optimizing growth in this vulnerable group.
Abstract

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