Ji Renyue, Wu Haisheng, Lin Hongli, Li Yang, Shi Yumeng
School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Pok Fu Lam, Hong Kong, SAR, China.
Diabetol Metab Syndr. 2025 Jan 9;17(1):12. doi: 10.1186/s13098-024-01556-w.
Epidemiological research on the association between heavy metals and congestive heart failure (CHF) in individuals with abnormal glucose metabolism is scarce. The study addresses this research gap by examining the link between exposure to heavy metals and the odds of CHF in a population with dysregulated glucose metabolism.
This cross-sectional study includes 7326 patients with diabetes and prediabetes from the National Health and Nutrition Examination Survey from 2011 to 2018. The exposure variables are five environmental heavy metals-cadmium (Cd), lead (Pb), mercury (Hg), selenium (Se), and manganese (Mn)-and the endpoint is CHF, determined via face-to-face interviews. Logistic regression, weighted quantile sum (WQS), and Bayesian kernel machine learning (BKMR) models were employed to investigate the association between exposure to mixtures of five heavy metals and the odds of having CHF in individuals with diabetes and prediabetes.
Multivariate logistic regression analysis Shows that only blood Cd exhibited a significant linear positive correlation with CHF odds (OR: 1.26, 95%CI 1.07-1.47, p = 0.005), there was a significant 14% decrease in the odds rate of CHF for each additional standard deviation of log10 Se (OR: 0.86,95%CI 0.76-0.96, P = 0.009). The WQS index for the metal mixture only marginally increased the odds of CHF by 1% (OR = 1.01, 95% CI 1.00-1.02, P = 0.032). BKMR analysis demonstrated a positive association between Cd levels and the odds of CHF, an inverse relationship with Se levels in patients with diabetes and prediabetes. However, no significant association was observed between the metal mixture and CHF.
This cross-sectional study demonstrates that increased Cd levels are associated with a higher odds of CHF in patients with diabetes and pre-diabetes, whereas elevated blood Se levels significantly mitigate this odds.
关于重金属与糖代谢异常个体的充血性心力衰竭(CHF)之间关联的流行病学研究较少。本研究通过调查重金属暴露与糖代谢失调人群中CHF发生几率之间的联系,填补了这一研究空白。
这项横断面研究纳入了2011年至2018年美国国家健康与营养检查调查中的7326例糖尿病和糖尿病前期患者。暴露变量为五种环境重金属——镉(Cd)、铅(Pb)、汞(Hg)、硒(Se)和锰(Mn),终点为CHF,通过面对面访谈确定。采用逻辑回归、加权分位数和(WQS)以及贝叶斯核机器学习(BKMR)模型,研究五种重金属混合物暴露与糖尿病和糖尿病前期个体发生CHF几率之间的关联。
多变量逻辑回归分析显示,仅血Cd与CHF几率呈显著线性正相关(OR:1.26,95%CI 1.07 - 1.47,p = 0.005),log10 Se每增加一个标准差,CHF几率显著降低14%(OR:0.86,95%CI 0.76 - 0.96,P = 0.009)。金属混合物的WQS指数仅使CHF几率略有增加1%(OR = 1.01,95%CI 1.00 - 1.02,P = 0.032)。BKMR分析表明,糖尿病和糖尿病前期患者中,Cd水平与CHF几率呈正相关,与Se水平呈负相关。然而,未观察到金属混合物与CHF之间存在显著关联。
这项横断面研究表明,糖尿病和糖尿病前期患者中,Cd水平升高与CHF几率增加相关,而血Se水平升高可显著降低这一几率。