Modeling geographic risk of complex congenital heart defects in Eastern Wisconsin

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

doi:10.1002/bdra.20828

Cited by 11 publications

(5 citation statements)

References 78 publications

(74 reference statements)

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“…Only one study included data from Oklahoma, though it did not provide a detailed comparison of anomalies by race/ethnicity for Oklahoma children (Mai et al, ). Studies have identified spatial clusters of oral clefts in Texas (Cech, Burau, & Walston, ) and Poland (Materna‐Kiryluk et al, ); congenital heart defects in Wisconsin (Cronk, Gangnon, Cossette, McElroy, & Pelech, ), Maryland/District of Columbia (Kuehl & Loffredo, ), and China (Ma et al, ); and neural tube defects in China (Liao et al, ; Liao, Wang, Li, Guo, & Zheng, ).…”

Section: Introductionmentioning

confidence: 99%

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

Janitz

Dao

Campbell

et al. 2019

Birth Defects Research

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Introduction: Congenital anomalies were the leading cause of infant mortality, responsible for 23 and 21% of deaths in Oklahoma and the USA, respectively, in 2016. We aimed to determine the prevalence by race/ethnicity and spatial distribution of congenital anomalies to identify geographic and racial/ethnic disparities, particularly among American Indian/Alaska Natives (AI/AN). Methods: We evaluated the prevalence of anomalies by type and race/ethnicity among 648,074 live births in Oklahoma from 1997 to 2009. Prevalence proportion ratios (PPRs) and 95% confidence intervals (CIs) were calculated using Poisson regression. We used Moran's I and Getis-Ord Gi* to evaluate spatial clustering for neural tube defects, critical congenital heart defects (CCHDs), and oral clefts among births whose residence geocoded to the ZIP code or finer level.Results: Overall prevalence of anomalies among live births was 3.9%. Non-Hispanic (NH) African American (PPR: 0.87, 95% CI: 0.83, 0.91), Asian/Pacific Islander (PPR: 0.70, 95% CI: 0.63, 0.78), and Hispanic (PPR: 0.87, 95% CI: 0.83, 0.91) children had a lower prevalence of anomalies compared to NH whites. The prevalence in NH AI/AN children was similar to NH whites (PPR: 1.01, 95% CI: 0.97, 1.05). However, differences in specific types of anomalies were observed by race/ethnicity. We observed no spatial autocorrelation for CCHD and oral clefts. Neural tube defects demonstrated spatial autocorrelation (p < .0001). Local hot spots varied by anomaly. Discussion: The prevalence of anomalies by race/ethnicity and geography differed by race/ethnicity and region, though this varied by anomaly. Additional research is needed to identify behavioral or environmental factors to target for prevention. K E Y W O R D SAmerican Indian/Alaska Native, congenital anomalies, prevalence, race/ethnicity, spatial analysis

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Section: Introductionmentioning

confidence: 99%

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

Janitz

Dao

Campbell

et al. 2019

Birth Defects Research

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“…This time, a significant south-to-north spatial gradient for HLHS, TOF, and combined CHDs, but not TGA was identified. They concluded that geographic variation may be an indicator of risk factors for birth defects, and therefore further studies controlling, among others, linkage to potential environmental exposures (such as agrichemicals or groundwater contamination) are needed to identify risk factors that may underlay this geographic gradient [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Seasonality of Hypoplastic Left Heart Syndrome and Single Ventricle Heart in Poland in the Context of Air Pollution

Strzelecka

Biedrzycka

Karuga

et al. 2021

JCM

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Hypoplastic left heart syndrome (HLHS) and single ventricle (SV) remain a significant cause of cardiac deaths occurring in the first week of life. Their pathogenesis and seasonal frequency are still unknown. Therefore, we attempt to look at the genesis of the HLHS and SV in the context of territorial distribution as well as seasonality. A total of 193 fetuses diagnosed with HLHS and 92 with SV were selected. The frequency was analyzed depending on the year, calendar month, quarter and season (fall-winter vs. spring-summer). The spatial distribution of HLHS and SV in Poland was analyzed. We observed a statistically significant overrepresentation of HLHS formation frequency in March: 27 (14.00%) in comparison to a monthly median of 15 (IQR: 13.75–16.25; p = 0.039), as well as a significantly higher frequency of HLHS in 2007−2009: 65 cases (33.68%) in comparison to the annual mean of 13.79 ± 6.36 (p < 0.001). We noted a higher frequency of SV among parous with the last menstrual period reported in the fall/winter season of 58 vs. 34 in the spring/summer season (p = 0.014). The performed analysis also revealed significant SV overrepresentation in 2008: 11 cases (12.00%) in comparison to the annual mean of 6.57 ± 2.71 (p = 0.016). Every single case of HLHS was observed when the concentration of benzo(a)pyrene and/or PM10 exceeded the acceptable/target level. Our research indicates that both the season and the level of pollution are significant factors affecting the health of parous women and their offspring. The reason why HLHS and SV develop more frequently at certain times of the year remains unclear, therefore research on this topic should be continued, as well as on the effects of PM10 and benzo(a)pyrene exposure.

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“…Since that time, a compelling body of evidence highlighting significant sociodemographic disparities in many aspects of congenital heart disease care has evolved. Within single centers or regions, there is demonstrated geographic variation of the incidence of congenital heart disease ( 7 , 8 ). Several other studies have evaluated sociodemographic factors' impact on surgical mortality ( 9 , 10 ) and long-term outcomes from congenital heart disease ( 11 – 14 ).…”

Section: Application In Congenital Heart Diseasementioning

confidence: 99%

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

2022

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Modeling geographic risk of complex congenital heart defects in Eastern Wisconsin

Cited by 11 publications

References 78 publications

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

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

Seasonality of Hypoplastic Left Heart Syndrome and Single Ventricle Heart in Poland in the Context of Air Pollution

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

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