Population-based birth defects data in the United States, 2011-2015: A focus on eye and ear defects

Erin B Stallings; Jennifer L Isenburg; Cara T Mai; Rebecca F Liberman; Cynthia A Moore; Mark A Canfield; Jason L Salemi; Russell S Kirby; Tyiesha D Short; Wendy N Nembhard; Nina E Forestieri; Dominique Heinke; C J Alverson; Paul A Romitti; My-Phuong Huynh; Lindsay E Denson; Emily M Judson; Philip J Lupo; National Birth Defects Prevention Network

doi:10.1002/bdr2.1413

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Population-based birth defects data in the United States, 2011-2015: A focus on eye and ear defects

Journal article

Open access

Peer reviewed

Population-based birth defects data in the United States, 2011-2015: A focus on eye and ear defects

Erin B Stallings, Jennifer L Isenburg, Cara T Mai, Rebecca F Liberman, Cynthia A Moore, Mark A Canfield, Jason L Salemi, Russell S Kirby, Tyiesha D Short, Wendy N Nembhard, …

Birth defects research, Vol.110(19), pp.1478-1486

11/15/2018

DOI: 10.1002/bdr2.1413

PMCID: PMC6705119

PMID: 30444307

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https://www.ncbi.nlm.nih.gov/pmc/articles/6705119View

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Abstract

In this data brief, we examine major eye and ear anomalies (anophthalmia/microphthalmia, anotia/microtia, and congenital cataract) for a recent 5-year birth cohort using data from 30 population-based birth defects surveillance programs in the United States. As a special call for data for the 2018 NBDPN Annual Report, state programs reported expanded data on eye/ear anomalies for birth years 2011-2015. We calculated the combined overall prevalence (per 10,000 live births) and 95% confidence intervals (CI), for the three anomalies as well as by maternal age, maternal race/ethnicity, infant sex, laterality, presence/absence of other major birth defects, and case ascertainment methodology utilized by the program (active vs. passive). The overall prevalence estimate (per 10,000 live births) was 1.5 (95% CI: 1.4-1.5) for anophthalmia/microphthalmia, 1.5 (95% CI: 1.4-1.6) for congenital cataract, and 1.8 (95% CI: 1.7-1.8) for anotia/microtia. Congenital cataract prevalence varied little by maternal race/ethnicity, infant sex, or case ascertainment methodology; prevalence differences were more apparent across strata for anophthalmia/microphthalmia and anotia/microtia. Prevalence among active vs. passive ascertainment programs was 50% higher for anophthalmia/microphthalmia (1.9 vs. 1.2) and two-fold higher for anotia/microtia (2.6 vs. 1.2). Anophthalmia/microphthalmia was more likely than other conditions to co-occur with other birth defects. All conditions were more frequent among older mothers (40+ years). This data brief provides recent prevalence estimates for anophthalmia/microphthalmia, congenital cataract, and anotia/microtia that address a data gap by examining pooled data from 30 population-based surveillance systems, covering a five-year birth cohort of about 12.4 million births.

Pregnancy

Registries

United States

Congenital Abnormalities - epidemiology

Prevalence

Ear - abnormalities

Humans

Risk Factors

Infant

Logistic Models

Male

Cataract - epidemiology

Mothers

Case-Control Studies

Microphthalmos - epidemiology

Eye Abnormalities

Maternal Age

Adult

Congenital Microtia - epidemiology

Female

Odds Ratio

Infant, Newborn

Population Surveillance - methods

Anophthalmos - epidemiology

Details

Title: Subtitle: Population-based birth defects data in the United States, 2011-2015: A focus on eye and ear defects
Creators: Erin B Stallings - Carter Consulting, Incorporated, Atlanta, Georgia
Jennifer L Isenburg - National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia
Cara T Mai - National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia
Rebecca F Liberman - Massachusetts Department of Public Health, Center for Birth Defects Research and Prevention, Boston, Massachusetts
Cynthia A Moore - National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia
Mark A Canfield - Texas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch, Austin, Texas
Jason L Salemi - Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas
Russell S Kirby - Department of Community and Family Health, College of Public Health, University of South Florida, Tampa, Florida
Tyiesha D Short - Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee
Wendy N Nembhard - Arkansas Center for Birth Defects Research and Prevention, the Arkansas Children's Research Institute and the University of Arkansas for Medical Sciences, Department of Epidemiology, Little Rock, Arkansas
Nina E Forestieri - Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina
Dominique Heinke - Massachusetts Department of Public Health, Center for Birth Defects Research and Prevention, Boston, Massachusetts
C J Alverson - National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia
Paul A Romitti - College of Public Health, University of Iowa, Iowa City, Iowa
My-Phuong Huynh - Utah Birth Defect Network, Utah Department of Health, Salt Lake City, Utah
Lindsay E Denson - Oklahoma Birth Defects Registry, Oklahoma State Department of Health, Oklahoma City, Oklahoma
Emily M Judson - Carter Consulting, Incorporated, Atlanta, Georgia
Philip J Lupo - Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
National Birth Defects Prevention Network
Resource Type: Journal article
Publication Details: Birth defects research, Vol.110(19), pp.1478-1486
DOI: 10.1002/bdr2.1413
PMID: 30444307
PMCID: PMC6705119
NLM abbreviation: Birth Defects Res
ISSN: 2472-1727
eISSN: 2472-1727
Publisher: Wiley; United States
Grant note: P30 ES005605 / NIEHS NIH HHS CC999999 / Intramural CDC HHS U01 DD001035 / NCBDD CDC HHS U01 DD001223 / NCBDD CDC HHS
Language: English
Date published: 11/15/2018
Academic Unit: Epidemiology; Biostatistics
Record Identifier: 9983996099502771

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