Prenatal Exposure to Poly/Perfluoroalkyl Substances and Risk for Congenital Heart Disease in Offspring
Journal of Hazardous Materials(2024)
Abstract
Congenital heart disease (CHD) is the most prevalent congenital malformation worldwide, and the association between per- and polyfluoroalkyl substances (PFASs) exposure and CHD in population has only received limited study. Therefore, we conducted a multicenter case-control study to explore the associations between prenatal exposure to individual PFASs, and also a PFAS mixture, and CHD risk, including 185 CHDs and 247 controls in China from 2016 to 2021. Thirteen PFASs in maternal plasma were quantified using liquid chromatography-tandem mass spectrometry. Logistic regression and two multipollutant models (Bayesian kernel machine regression [BKMR] and quantile g-computation [qgcomp]) were used to assess the potential associations between any individual PFAS, and also a PFAS mixture, and CHD risk. After adjusting for potential confounders, logistic regression indicated significant associations between elevated levels of perfluorononanoic acid (odds ratio [OR]= 1.30, 95% confidence intervals [CI]: 1.07–1.58), perfluorodecanoic acid (OR=2.07, 95%CI: 1.32–3.26), and perfluoroundecanoic acid (OR=2.86, 95%CI:1.45–5.65) and CHD risk. The BKMR model and qgcomp approach identified that a significant positive association between the PFAS mixture and risk for CHD. These findings provide essential evidence that there is indeed a health crisis associated with PFASs and that it is linked to CHD.
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Key words
Per- and polyfluoroalkyl substances (PFASs),Congenital heart disease (CHD),Bayesian kernel machine regression (BKMR) model,Quantile g-computation (qgcomp),Multicenter
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