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

Author:

Benjamin Renata H.1ORCID,Nguyen Joanne M.2,Drummond‐Borg Margaret2,Scheuerle Angela E.3ORCID,Langlois Peter H.4,Canfield Mark A.4,Shumate Charles J.2,Mitchell Laura E.1ORCID,Agopian A. J.1ORCID

Affiliation:

1. Department of Epidemiology, Human Genetics, and Environmental Sciences The University of Texas Health Science Center at Houston (UTHealth) School of Public Health Houston Texas USA

2. Birth Defects Epidemiology and Surveillance Branch Texas Department of State Health Services Austin Texas USA

3. Division of Genetics and Metabolism, Department of Pediatrics University of Texas Southwestern Medical Center Dallas Texas USA

4. Department of Epidemiology, Human Genetics, and Environmental Sciences UTHealth School of Public Health at Austin Austin Texas USA

Abstract

AbstractEpidemiologic 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.

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Health Resources and Services Administration

Centers for Disease Control and Prevention

Texas Department of State Health Services

Publisher

Wiley

Reference17 articles.

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