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ENHANCING THE CLASSIFICATION OF CONGENITAL HEART DEFECTS FOR OUTCOME ASSOCIATION STUDIES IN BIRTH DEFECTS REGISTRIES
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8 2024
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Source: Birth Defects Res. 116(8):e2393
Details:
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Alternative Title:Birth Defects Res
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Description:Introduction:
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.
Methods:
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 versus C-CLOC classification approaches.
Results:
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.
Discussion:
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.
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Pubmed ID:39169811
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Pubmed Central ID:PMC11421657
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Volume:116
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Issue:8
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Supporting Files:No Additional Files