Abstract 4366194: Association Between Exposure to Toxic Release Inventory Facilities and Hypertrophic Cardiomyopathy Prevalence in Maryland

Introduction: Hypertrophic cardiomyopathy (HCM) is regarded as a monogenic cardiovascular disease; however, 70% of HCM patients do not harbor a pathogenetic variant. This observation suggests that acquired determinants may underlie disease etiology, but population data on the relationship between environmental exposures and HCM prevalence do not exist. Hypothesis: Toxic release inventory (TRI) facilities are industrial sites that release cardio-toxic chemicals into environment. Here we hypothesized that proximity-based TRI exposure associates positively with HCM prevalence. Methods: We deployed large and natural language processing models to the University of Maryland Medical System Electronic Health Record (2016-2024) and assembled the HCM incidence based on ICD-10 code plus interventricular septal dimension (IVSd) ≥13 mm at a census tract level. A Cox point process model was applied to 663 TRI facilities to estimate their pollutive effects on surrounding areas. The TRI exposure for each census tract was estimated by integrating the effect of the pollutive effects using 200m×200m grids within each tract. A spatial association analysis was performed to correlate HCM prevalence normalized to 10,000 adults/tract vs. TRI exposure. Results: We identified N=881 HCM patients (47.9%, male; 61.7±15.0 yr [range, 18-98] with IVSd (17.9 ± 4.4 mm), left ventricular (LV) ejection fraction (69.8±8.6%), left atrial diameter (45± 8.9 mm), and maximum LV outflow tract gradient (32±41 mmHg), of which N=751 (85.2%) were geocoded to Maryland. There were N=663 TRI facilities in 299 of 1463 (20.4%) census tracts with TRI exposure score of 20.1±26.9 (range, 0-124). For the entire HCM cohort, a moderate correlation was observed between HCM prevalence and TRI exposure (r=0.20, P<0.0001). However, age-stratified analyses revealed a stronger association in younger subgroups, particularly for age: ≤30 yr (N=30, r=0.73, P<0.0001), ≤35 yr (N=46, r=0.68, P<0.0001) and ≤40 yr (N=73, r=0.64, P<0.0001). This association declined with increasing age plateau effect through >85 yr (N=29, r=0.2, P<0.001). Conclusion: Proximity-based exposure to TRI facilities is associated with increased HCM prevalence in Maryland, especially among younger individuals. Our findings emphasize the need to consider environmental exposures in HCM etiology models. Further studies are warranted to explore causality and underlying pathobiological mechanisms connecting TRI and HCM phenotype.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4366194
Primary Topic
Health, Environment, Cognitive Aging
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article
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article

Abstract 4366194: Association Between Exposure to Toxic Release Inventory Facilities and Hypertrophic Cardiomyopathy Prevalence in Maryland

Rozalina Grubina McCoy, Anna K. Prohl, Bradley A. Maron, Ethan J. Rowin et al.
Circulation
Health, Environment, Cognitive Aging
article

Abstract 4366194: Association Between Exposure to Toxic Release Inventory Facilities and Hypertrophic Cardiomyopathy Prevalence in Maryland

Rozalina Grubina McCoy, Anna K. Prohl, Bradley A. Maron, Ethan J. Rowin, Shuo Jim Huang, Pratima Kshetry, Martin S. Maron, Colleen M. Ennett, Parvin Mohammadiarvejeh, Shuo Chen, Ian M. Brooks
article en

Abstract

Introduction: Hypertrophic cardiomyopathy (HCM) is regarded as a monogenic cardiovascular disease; however, 70% of HCM patients do not harbor a pathogenetic variant. This observation suggests that acquired determinants may underlie disease etiology, but population data on the relationship between environmental exposures and HCM prevalence do not exist. Hypothesis: Toxic release inventory (TRI) facilities are industrial sites that release cardio-toxic chemicals into environment. Here we hypothesized that proximity-based TRI exposure associates positively with HCM prevalence. Methods: We deployed large and natural language processing models to the University of Maryland Medical System Electronic Health Record (2016-2024) and assembled the HCM incidence based on ICD-10 code plus interventricular septal dimension (IVSd) ≥13 mm at a census tract level. A Cox point process model was applied to 663 TRI facilities to estimate their pollutive effects on surrounding areas. The TRI exposure for each census tract was estimated by integrating the effect of the pollutive effects using 200m×200m grids within each tract. A spatial association analysis was performed to correlate HCM prevalence normalized to 10,000 adults/tract vs. TRI exposure. Results: We identified N=881 HCM patients (47.9%, male; 61.7±15.0 yr [range, 18-98] with IVSd (17.9 ± 4.4 mm), left ventricular (LV) ejection fraction (69.8±8.6%), left atrial diameter (45± 8.9 mm), and maximum LV outflow tract gradient (32±41 mmHg), of which N=751 (85.2%) were geocoded to Maryland. There were N=663 TRI facilities in 299 of 1463 (20.4%) census tracts with TRI exposure score of 20.1±26.9 (range, 0-124). For the entire HCM cohort, a moderate correlation was observed between HCM prevalence and TRI exposure (r=0.20, P<0.0001). However, age-stratified analyses revealed a stronger association in younger subgroups, particularly for age: ≤30 yr (N=30, r=0.73, P<0.0001), ≤35 yr (N=46, r=0.68, P<0.0001) and ≤40 yr (N=73, r=0.64, P<0.0001). This association declined with increasing age plateau effect through >85 yr (N=29, r=0.2, P<0.001). Conclusion: Proximity-based exposure to TRI facilities is associated with increased HCM prevalence in Maryland, especially among younger individuals. Our findings emphasize the need to consider environmental exposures in HCM etiology models. Further studies are warranted to explore causality and underlying pathobiological mechanisms connecting TRI and HCM phenotype.

CirculationVol. 152(Suppl_3)
University of Maryland, Baltimore (US), University of Maryland Medical Center (US), University of Maryland Medical System (US), Foundation for the National Institutes of Health (US), Lahey Medical Center (US)
Openalex Percentile: Top 59%
Health, Environment, Cognitive Aging
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