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Classification of isolated versus multiple birth defects: An automated process for population-based registries.

Authors :
Benjamin RH
Nguyen JM
Drummond-Borg M
Scheuerle AE
Langlois PH
Canfield MA
Shumate CJ
Mitchell LE
Agopian AJ
Source :
American journal of medical genetics. Part A [Am J Med Genet A] 2024 Oct; Vol. 194 (10), pp. e63714. Date of Electronic Publication: 2024 May 21.
Publication Year :
2024

Abstract

Epidemiologic studies of birth defects often conduct separate analyses for cases that have isolated defects (e.g., spina bifida only) and cases that have multiple defects (e.g., spina bifida and a congenital heart defect). However, in some instances, cases with additional defects (e.g., spina bifida and clubfoot) may be more appropriately considered as isolated because the co-occurring defect (clubfoot) is believed to be developmentally related to the defect of interest. Determining which combinations should be considered isolated can be challenging and potentially resource intensive for registries. Thus, we developed automated classification procedures for differentiating between isolated versus multiple defects, while accounting for developmentally related defects, and applied the approach to data from the Texas Birth Defects Registry (1999-2018 deliveries). Among 235,544 nonsyndromic cases in Texas, 89% of cases were classified as having isolated defects, with proportions ranging from 25% to 92% across 43 specific defects analyzed. A large proportion of isolated cases with spina bifida (44%), lower limb reduction defects (44%), and holoprosencephaly (32%) had developmentally related defects. Overall, our findings strongly support the need to account for isolated versus multiple defects in risk factor association analyses and to account for developmentally related defects when doing so, which has implications for interpreting prior studies.<br /> (© 2024 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1552-4833
Volume :
194
Issue :
10
Database :
MEDLINE
Journal :
American journal of medical genetics. Part A
Publication Type :
Academic Journal
Accession number :
38770996
Full Text :
https://doi.org/10.1002/ajmg.a.63714