Literature DB >> 21630424

Modeling geographic risk of complex congenital heart defects in Eastern Wisconsin.

Christine E Cronk1, Ronald Gangnon, Stacy Cossette, Jane A McElroy, Andrew N Pelech.   

Abstract

BACKGROUND: Geographic variation may be an indicator of risk factors for birth defects. This study models the geographic distribution of three complex congenital heart defects (CHDs) in eastern Wisconsin, and evaluates effects of demographic census variables linked to geographic location.
METHODS: Cases of Hypoplastic Left Heart Syndrome (HLHS), Tetralogy of Fallot (TOF) and d-Transposition of the Great Arteries (d-TGAs) born between1995 and 2004 were identified from three medical centers serving eastern Wisconsin. Case diagnoses were assigned by a pediatric cardiologist using echocardiographic records. Births by ZIP code were obtained from the State of Wisconsin. ZIP Code demographic variables were derived from 2000 census data. Numbers of cardiac defects by ZIP code were modeled using cluster analysis and Poisson generalized additive models (GAMs) for spatial coordinates including all and white only cases (excluding trisomies). GAM analyses were repeated adjusting for census variables.
RESULTS: Four hundred forty-eight cases were ascertained. A significant south-to-north spatial gradient for HLHS, TOF, and combined CHDs, but not d-TGAs was identified. This gradient remained significant when census variables were included in the model for the full sample. In the analysis excluding non-white cases, findings were the same for TOF, combined CHDs, and d-TGAs. However, the geographic gradient for HLHS was not significant in the adjusted model.
CONCLUSIONS: A south-to-north gradient was apparent for two of three complex CHDs in eastern Wisconsin. For white cases, demographic variation seems to explain some of this spatial gradient in HLHS. Further studies are needed to confirm demographic and other risk factors underlying this geographic gradient.
Copyright © 2011 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21630424     DOI: 10.1002/bdra.20828

Source DB:  PubMed          Journal:  Birth Defects Res A Clin Mol Teratol        ISSN: 1542-0752


  4 in total

1.  Human gene copy number spectra analysis in congenital heart malformations.

Authors:  Aoy Tomita-Mitchell; Donna K Mahnke; Craig A Struble; Maureen E Tuffnell; Karl D Stamm; Mats Hidestrand; Susan E Harris; Mary A Goetsch; Pippa M Simpson; David P Bick; Ulrich Broeckel; Andrew N Pelech; James S Tweddell; Michael E Mitchell
Journal:  Physiol Genomics       Date:  2012-02-07       Impact factor: 3.107

2.  Distribution of congenital anomalies by race/ethnicity and geospatial location in Oklahoma, 1997-2009.

Authors:  Amanda E Janitz; Hanh Dung Dao; Janis E Campbell; Julie A Stoner; Jennifer D Peck
Journal:  Birth Defects Res       Date:  2019-12-10       Impact factor: 2.344

3.  Spatial patterns of the congenital heart disease prevalence among 0- to 14-year-old children in Sichuan Basin, P. R China, from 2004 to 2009.

Authors:  Li-Guang Ma; Jun Zhao; Zhou-Peng Ren; Yuan-Yuan Wang; Zuo-Qi Peng; Jin-Feng Wang; Xu Ma
Journal:  BMC Public Health       Date:  2014-06-12       Impact factor: 3.295

4.  Development of a national dataset for geospatial analysis of congenital heart disease.

Authors:  Jennifer H Klein; Anand Gourishankar; Anita Krishnan
Journal:  Front Pediatr       Date:  2022-08-10       Impact factor: 3.569

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.