Pattern of congenital heart diseases in Rwandan children with genetic defects

Raissa Teteli1, Annette Uwineza2, Yvan Butera3

  • 1Department of Pediatrics, Kigali University Teaching Hospital, University of Rwanda, Kigali, Rwanda.

Insights

Congenital heart diseases (CHDs) are frequently linked to genetic defects in Rwandan children. Routine echocardiography and genetic testing are recommended for early detection in at-risk pediatric patients.

Area of Science:

  • Medical Genetics
  • Pediatric Cardiology
  • Clinical Genetics

Background:

  • Congenital heart diseases (CHDs) are often associated with underlying genetic abnormalities.
  • Understanding the prevalence and patterns of CHD in genetically affected pediatric populations is crucial for diagnosis and management.

Purpose of the Study:

  • To determine the occurrence and specific patterns of congenital heart disease (CHD) association with genetic defects in pediatric patients in Rwanda.
  • To investigate the relationship between genetic defects and the types of CHDs observed in this cohort.

Main Methods:

  • Recruited 125 pediatric patients exhibiting clinical signs suggestive of genetic defects.
  • Conducted echocardiography to assess cardiac structures and function in all participants.
  • Performed standard karyotype analysis to identify chromosomal abnormalities.

Main Results:

  • Congenital heart diseases (CHDs) were prevalent in the majority of pediatric patients with identified genetic defects.
  • Ventricular septal defect was the most common isolated CHD, frequently observed in cases of Down syndrome.
  • Chromosomal abnormalities constituted the majority of genetic diagnoses and were linked to a diverse range of CHDs.

Conclusions:

  • Congenital heart diseases (CHDs) are common among Rwandan pediatric patients with genetic defects.
  • Routine echocardiography and systematic genetic investigations, including karyotyping, are essential for pediatric patients with suspected CHD and genetic abnormalities.
  • Early and comprehensive assessment can improve diagnostic yield and inform clinical management strategies.
Abstract

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