Enhancing the Classification of Congenital Heart Defects for Outcome Association Studies in Birth Defects Registries.
birth defect registry
classification
congenital anomalies
congenital heart defects
surveillance programs
Journal
Birth defects research
ISSN: 2472-1727
Titre abrégé: Birth Defects Res
Pays: United States
ID NLM: 101701004
Informations de publication
Date de publication:
Aug 2024
Aug 2024
Historique:
revised:
10
07
2024
received:
15
05
2024
accepted:
25
07
2024
medline:
22
8
2024
pubmed:
22
8
2024
entrez:
22
8
2024
Statut:
ppublish
Résumé
Traditional strategies for grouping congenital heart defects (CHDs) using birth defect registry data do not adequately address differences in expected clinical consequences between different combinations of CHDs. We report a lesion-specific classification system for birth defect registry-based outcome studies. For Core Cardiac Lesion Outcome Classifications (C-CLOC) groups, common CHDs expected to have reasonable clinical homogeneity were defined. Criteria based on combinations of Centers for Disease and Control-modified British Pediatric Association (BPA) codes were defined for each C-CLOC group. To demonstrate proof of concept and retention of reasonable case counts within C-CLOC groups, Texas Birth Defect Registry data (1999-2017 deliveries) were used to compare case counts and neonatal mortality between traditional vs. C-CLOC classification approaches. C-CLOC defined 59 CHD groups among 62,262 infants with CHDs. Classifying cases into the single, mutually exclusive C-CLOC group reflecting the highest complexity CHD present reduced case counts among lower complexity lesions (e.g., 86.5% of cases with a common atrium BPA code were reclassified to a higher complexity group for a co-occurring CHD). As expected, C-CLOC groups had retained larger sample sizes (i.e., representing presumably better-powered analytic groups) compared to cases with only one CHD code and no occurring CHDs. This new CHD classification system for investigators using birth defect registry data, C-CLOC, is expected to balance clinical outcome homogeneity in analytic groups while maintaining sufficiently large case counts within categories, thus improving power for CHD-specific outcome association comparisons. Future outcome studies utilizing C-CLOC-based classifications are planned.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2393Subventions
Organisme : NICHD NIH HHS
ID : R01 HD093660
Pays : United States
Organisme : HRSA HHS
Pays : United States
Organisme : Texas Department of State Health Services
ID : NU50DD000102
Organisme : Texas Department of State Health Services
ID : HHS 00096260001
Organisme : CDC HHS
Pays : United States
Informations de copyright
© 2024 Wiley Periodicals LLC.
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