Comorbidity and Multimorbidity in Adults With Congenital Heart Disease: Findings From a Multi-Site Population-Based

Lorenzo D Botto1, Matthew R Reeder1, George K Lui2

  • 1Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.

Birth Defects Research
|August 21, 2025
PubMed

Insights

Adults with congenital heart disease (CHD) frequently develop multiple comorbidities, particularly endocrine, metabolic, and neuropsychiatric conditions. Understanding these patterns is crucial for improving lifelong care and preventing mortality in this growing population.

Area of Science:

  • Cardiology
  • Public Health
  • Adult Congenital Heart Disease

Background:

  • Improved survival in congenital heart disease (CHD) has led to a growing adult population.
  • Adults with CHD face numerous comorbidities impacting outcomes and care.
  • Population-based data on comorbidities in adults with CHD are limited, hindering prevention efforts.

Purpose of the Study:

  • To assess the prevalence and patterns of comorbid conditions in adults with congenital heart disease.
  • To identify common cardiac and noncardiac comorbidities in this population.
  • To explore variations in comorbidity burden based on sociodemographic factors.

Main Methods:

  • A population-based, cross-sectional study of 18,672 adults (aged 19-64) with CHD in the US.
  • Data from linked clinical and administrative sources (inpatient, outpatient, emergency department) between 2011-2013.
  • Inclusion based on ≥1 CHD-related diagnosis code.

Main Results:

  • A high prevalence of comorbidities was observed: 88.5% had at least one, and 76% had multiple.
  • Noncardiac comorbidities were more frequent than cardiac ones, including endocrine/metabolic (diabetes, hyperlipidemia, hypothyroidism), hypertension, and neuropsychiatric conditions.
  • Comorbidity rates varied by sociodemographics; men and older adults had higher rates, irrespective of CHD type.

Conclusions:

  • Preventable comorbidities and multimorbidity are highly prevalent in adults with CHD.
  • Comorbidity patterns are influenced by sociodemographic factors and CHD type.
  • Lifelong, coordinated, data-driven care and health metric tracking are essential to reduce mortality.
Abstract

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