评估环境金属混合物对慢性肾脏疾病风险的影响:来自2011-2016年全国健康与营养调查的见解

IF 1.5 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Journal of International Medical Research Pub Date : 2025-09-01 Epub Date: 2025-09-19 DOI:10.1177/03000605251378695
Sen Zhang, XiaoJuan Fu
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引用次数: 0

摘要

慢性肾脏疾病是一个全球性的健康问题,尽管金属之间的相互作用尚不清楚,但环境中的金属混合物可能会增加其风险。本研究旨在系统探讨暴露于环境金属混合物与慢性肾脏疾病风险之间的关系及其潜在的相互作用。方法对参加2011-2016年全国健康与营养调查的3514名成年人(年龄≥20岁)的数据进行分析。测定血铅、镉、汞、硒、锰、血清铜和锌的浓度。慢性肾脏疾病的定义是肾小球滤过率估计为2或尿白蛋白-肌酐比值≥30 mg/g。数据分析采用逻辑回归、限制三次样条、加权分位数和、贝叶斯核机器回归和机器学习等方法。结果较高浓度的铅、镉和铜与慢性肾脏疾病的风险增加有关;锌具有保护作用。加权分位数和表明,接触金属混合物与慢性肾脏疾病风险呈正相关(优势比:1.58,95%可信区间:1.30-1.94),其中铅和镉的贡献最大。贝叶斯核机回归证实了金属的累积/交互效应。XGBoost(曲线下面积:0.801)表现出良好的预测性能。结论环境中的金属混合物,尤其是铅和镉,增加了慢性肾脏疾病的发病风险。金属相互作用调节肾脏效应,强调需要减少暴露策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluating the impact of environmental metal mixtures on chronic kidney disease risk: Insights from the National Health and Nutrition Examination Survey 2011-2016.

Evaluating the impact of environmental metal mixtures on chronic kidney disease risk: Insights from the National Health and Nutrition Examination Survey 2011-2016.

Evaluating the impact of environmental metal mixtures on chronic kidney disease risk: Insights from the National Health and Nutrition Examination Survey 2011-2016.

Evaluating the impact of environmental metal mixtures on chronic kidney disease risk: Insights from the National Health and Nutrition Examination Survey 2011-2016.

BackgroundChronic kidney disease is a global health issue, with environmental metal mixtures potentially contributing to its risk, although interactions between metals remain unclear. The present study aims to systematically explore the association between exposure to environmental metal mixtures and the risk of chronic kidney disease as well as their potential interactive effects.MethodsData from 3514 adults (aged ≥20 years) who participated in the National Health and Nutrition Examination Survey 2011-2016 were analyzed. Blood concentrations of lead, cadmium, mercury, selenium, manganese, serum copper, and zinc were measured. Chronic kidney disease was defined by an estimated glomerular filtration rate of <60 mL/min/1.73 m2 or urinary albumin-creatinine ratio of ≥30 mg/g. Logistic regression, restricted cubic splines, weighted quantile sum, Bayesian kernel machine regression, and machine learning were used for data analysis.ResultsHigher concentrations of lead, cadmium, and copper were linked to an increased risk of chronic kidney disease; zinc showed protective effects. Weighted quantile sum indicated that exposure to metal mixtures was positively associated with chronic kidney disease risk (odds ratio: 1.58, 95% confidence interval: 1.30-1.94), with lead and cadmium showing the highest contribution. Bayesian kernel machine regression confirmed the cumulative/interactive effects of metals. XGBoost (area under the curve: 0.801) showed good predictive performance.ConclusionsEnvironmental metal mixtures, especially lead and cadmium, increase the risk of chronic kidney disease. Metal interactions modulate renal effects, highlighting the need for exposure reduction strategies.

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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
555
审稿时长
1 months
期刊介绍: _Journal of International Medical Research_ is a leading international journal for rapid publication of original medical, pre-clinical and clinical research, reviews, preliminary and pilot studies on a page charge basis. As a service to authors, every article accepted by peer review will be given a full technical edit to make papers as accessible and readable to the international medical community as rapidly as possible. Once the technical edit queries have been answered to the satisfaction of the journal, the paper will be published and made available freely to everyone under a creative commons licence. Symposium proceedings, summaries of presentations or collections of medical, pre-clinical or clinical data on a specific topic are welcome for publication as supplements. Print ISSN: 0300-0605
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