Improving the quality of surveillance data on congenital heart defects in the metropolitan Atlanta congenital defects

Tiffany Riehle-Colarusso1, Matthew J Strickland, Mark D Reller

  • 1National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. tj4@cdc.gov

Insights

Applying the Society of Thoracic Surgeons (STS) nomenclature standardized congenital heart defect (CHD) diagnoses in surveillance data. This improved accuracy and enabled flexible grouping for monitoring CHD prevalence.

Area of Science:

  • Pediatric Cardiology
  • Epidemiology
  • Medical Informatics

Background:

  • Lack of a standardized nomenclature for congenital heart defects (CHDs) historically challenged epidemiologic studies.
  • The Society of Thoracic Surgeons (STS) developed a comprehensive nomenclature and classification system for CHDs.
  • This study aimed to apply the STS nomenclature to a large birth defects surveillance database.

Purpose of the Study:

  • To classify congenital heart defect (CHD) cases using the modified STS nomenclature.
  • To assess the impact of standardized nomenclature on surveillance data accuracy.
  • To develop a flexible system for aggregating CHD cases for research and monitoring.

Main Methods:

  • Review of 12,639 CHD cases from the Metropolitan Atlanta Congenital Defects Program (1968-2003).
  • Assignment of STS codes by a team of pediatric cardiologists.
  • Hierarchical aggregation of cases based on presumed similar developmental mechanisms.

Main Results:

  • 89% of cases received a single, primary STS code.
  • Application of the nomenclature improved clinical accuracy by excluding normal variants and obligatory shunts.
  • Classification facilitated aggregation of specific CHDs into research- and surveillance-appropriate groups.

Conclusions:

  • A current, standard CHD nomenclature enhances the specificity of cardiac diagnoses in surveillance databases.
  • This standardized system enables flexible case aggregation for effective CHD prevalence monitoring.
  • Improved data accuracy supports more robust epidemiological research and public health surveillance of CHDs.
Abstract