Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China.
The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Environ Sci Pollut Res Int. 2023 Sep;30(42):96591-96603. doi: 10.1007/s11356-023-29318-7. Epub 2023 Aug 14.
Assessing the effects of heavy metals (HMs) on kidney stone is often limited to analyzing individual metal exposures, with studies on the effects of exposure to mixtures of HMs being scarce. To comprehensively evaluate the relationship between exposure to mixed HMs and kidney stones, we analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2007-2016, which included 7809 adults. We used multiple statistical methods, including multiple logistic regression models, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp) and bayesian kernel machine regression (BKMR), to assess the association between single HM and mixed exposure to HMs and kidney stones. Firstly, in single exposure analysis, urinary cadmium (Cd) and cobalt (Co) demonstrated a positive association with the risk of kidney stones. Secondly, various other approaches consistently revealed that mixed exposure to HMs exhibited a positive association with kidney stone risk, primarily driven by Cd, Co, and barium (Ba) in urine, with these associations being particularly notable among the elderly population. Finally, both BKMR and survey-weighted generalized linear models consistently demonstrated a significant synergistic effect between urinary Co and urinary uranium (Ur) in elevating the risk of kidney stones. Overall, this study provides new epidemiological evidence that mixed exposure to HMs is associated with an increased risk of kidney stones. Further prospectively designed studies are needed to confirm these findings.
评估重金属 (HMs) 对肾结石的影响通常仅限于分析单个金属暴露,而关于暴露于混合 HMs 的影响的研究则很少。为了全面评估暴露于混合 HMs 与肾结石之间的关系,我们分析了 2007-2016 年国家健康和营养检查调查 (NHANES) 的数据,其中包括 7809 名成年人。我们使用了多种统计方法,包括多 logistic 回归模型、加权分位数总和 (WQS) 回归、分位数 g 计算 (qgcomp) 和贝叶斯核机器回归 (BKMR),以评估单一 HM 和混合暴露于 HMs 与肾结石之间的关联。首先,在单一暴露分析中,尿镉 (Cd) 和钴 (Co) 与肾结石的风险呈正相关。其次,各种其他方法一致表明,混合暴露于 HMs 与肾结石风险呈正相关,主要由尿中的 Cd、Co 和钡 (Ba) 驱动,这些关联在老年人群中尤为明显。最后,BKMR 和调查加权广义线性模型都一致表明,尿 Co 和尿铀 (Ur) 之间存在显著的协同作用,可增加肾结石的风险。总体而言,这项研究提供了新的流行病学证据,表明混合暴露于 HMs 与肾结石风险增加有关。需要进一步前瞻性设计的研究来证实这些发现。