Association between Blood Lead Levels and Silent Myocardial Infarction in the General Population

Author:

Mostafa Mohamed A.1,Abueissa Mohammed A.2,Soliman Mai Z.3,Ahmad Muhammad Imtiaz4,Soliman Elsayed Z.1

Affiliation:

1. Epidemiological Cardiology Research Center (EPICARE), Department of Internal Medicine, Section Cardiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA

2. Department of Cardiothoracic Surgery, Al Manial Specialized Cairo University Hospital, Cairo 11956, Egypt

3. Wake Forest University, Winston-Salem, NC 27106, USA

4. Department of Internal Medicine, Section on Hospital Medicine, Medical College of Wisconsin, Wauwatosa, WI 53226, USA

Abstract

Background: Although the link between lead exposure and patterns of cardiovascular disease (CVD) has been reported, its association with silent myocardial infarction (SMI) remains unexplored. We aimed to assess the association between blood lead levels (BLLs) and SMI risk. Methods: We included 7283 (mean age 56.1 ± 2.52 years, 52.5% women) participants free of CVD from the Third National Health and Nutrition Examination Survey. BLL was measured using graphite-furnace atomic absorption spectrophotometry. SMI was defined as ECG evidence of myocardial infarction (MI) without history of MI. The association between SMI and BLLs was examined using multivariable logistic regression. Results: SMI was detected in 120 participants with an unweighted prevalence of 1.65%. Higher BLL correlated with higher SMI prevalence across BLL tertiles. In multivariable-adjusted models, participants in the third BLL tertile had more than double the odds of SMI (OR: 3.42, 95%CI: 1.76–6.63) compared to the first tertile. Each 1 µg/dL increase in BLL was linked to a 9% increase in SMI risk. This association was consistent across age, sex, and race subgroups. Conclusions: Higher BLLs are associated with higher odds of SMI in the general population. These results underscore the significance of the ongoing efforts to mitigate lead exposure and implement screening strategies for SMI in high-risk populations.

Publisher

MDPI AG

Reference44 articles.

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2. WHO (2022, February 25). Global Health Estimates: Leading Causes Of Deaths; Cause-Specific Mortality, 2000–2019. Geneva. Available online: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death.

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