Literature DB >> 30444307

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

Erin B Stallings1,2, Jennifer L Isenburg1, Cara T Mai1, Rebecca F Liberman3, Cynthia A Moore1, Mark A Canfield4, Jason L Salemi5, Russell S Kirby6, Tyiesha D Short1,7, Wendy N Nembhard8, Nina E Forestieri9, Dominique Heinke3, C J Alverson1, Paul A Romitti10, My-Phuong Huynh11, Lindsay E Denson12, Emily M Judson1,2, Philip J Lupo13.   

Abstract

BACKGROUND/
OBJECTIVES: 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.
METHODS: 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).
RESULTS: 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).
CONCLUSIONS: 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.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  anophthalmia; anotia; birth defects; cataract; congenital; microphthalmia; microtia; population-based surveillance

Mesh:

Year:  2018        PMID: 30444307      PMCID: PMC6705119          DOI: 10.1002/bdr2.1413

Source DB:  PubMed          Journal:  Birth Defects Res            Impact factor:   2.344


  21 in total

1.  Childhood blindness in the context of VISION 2020--the right to sight.

Authors:  C Gilbert; A Foster
Journal:  Bull World Health Organ       Date:  2003-07-07       Impact factor: 9.408

2.  Simple SAS macros for the calculation of exact binomial and Poisson confidence limits.

Authors:  L Daly
Journal:  Comput Biol Med       Date:  1992-09       Impact factor: 4.589

3.  Prevalence is the preferred measure of frequency of birth defects.

Authors:  Craig A Mason; Russel S Kirby; Lowell E Sever; Peter H Langlois
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2005-10

4.  Epidemiologic characteristics of anophthalmia and bilateral microphthalmia among 2.5 million births in California, 1989-1997.

Authors:  Gary M Shaw; Suzan L Carmichael; Wei Yang; John A Harris; Richard H Finnell; Edward J Lammer
Journal:  Am J Med Genet A       Date:  2005-08-15       Impact factor: 2.802

5.  The epidemiology of anophthalmia and microphthalmia in Sweden.

Authors:  Bengt Källén; Kristina Tornqvist
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

6.  Risk factors for idiopathic congenital/infantile cataract.

Authors:  Birgitte Haargaard; Jan Wohlfahrt; Thomas Rosenberg; Hans Callø Fledelius; Mads Melbye
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-09       Impact factor: 4.799

7.  Maternal demographic and socioeconomic characteristics of live-born infants with isolated ocular congenital abnormalities.

Authors:  Erzsebet H Puhó; Gábor Vogt; Melinda Csáky-Szunyogh; Júlia Metneki; Andrew E Czeizel
Journal:  Ophthalmic Epidemiol       Date:  2008 Jul-Aug       Impact factor: 1.648

8.  Epidemiologic features and clinical subgroups of anotia/microtia in Texas.

Authors:  Mark A Canfield; Peter H Langlois; Ly M Nguyen; Angela E Scheuerle
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2009-11

9.  Descriptive epidemiology of anophthalmia and microphthalmia, Hawaii, 1986-2001.

Authors:  Mathias B Forrester; Ruth D Merz
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2006-03

10.  Descriptive epidemiology of infantile cataracts in metropolitan Atlanta, GA, 1968-1998.

Authors:  Tricia R Bhatti; Mary Dott; Paula W Yoon; Cynthia A Moore; Don Gambrell; Sonja A Rasmussen
Journal:  Arch Pediatr Adolesc Med       Date:  2003-04
View more
  3 in total

1.  Sociodemographic, health behavioral, and clinical risk factors for anotia/microtia in a population-based case-control study.

Authors:  Marisa A Ryan; Andrew F Olshan; Mark A Canfield; Adrienne T Hoyt; Angela E Scheuerle; Suzan L Carmichael; Gary M Shaw; Martha M Werler; Sarah C Fisher; Tania A Desrosiers
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2019-03-23       Impact factor: 1.675

2.  Male Sex and the Risk of Childhood Cancer: The Mediating Effect of Birth Defects.

Authors:  Erin L Marcotte; Jeremy M Schraw; Tania A Desrosiers; Wendy N Nembhard; Peter H Langlois; Mark A Canfield; Robert E Meyer; Sharon E Plon; Philip J Lupo
Journal:  JNCI Cancer Spectr       Date:  2020-06-11

3.  The impact of the ICD-9-CM to ICD-10-CM transition on the prevalence of birth defects among infant hospitalizations in the United States.

Authors:  Jason L Salemi; Jean Paul Tanner; Russell S Kirby; Janet D Cragan
Journal:  Birth Defects Res       Date:  2019-08-14       Impact factor: 2.661

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.