Association between urinary cobalt exposure and kidney stones in US adult population: results from the National Health and Nutrition Examination Survey

Jun Lu, Dongmei Hong, Qian Wu, Yinghui Xia, Guozhong Chen, Tie Zhou,Cheng Li

RENAL FAILURE(2024)

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摘要
Purpose: Heavy metal exposure can cause impaired or reduced pathology in the kidneys, lungs, liver, and other vital organs. However, the relationship between heavy metal exposure and kidney stones has not been determined. The goal of this research was to determine the association between heavy metal exposure and kidney stones in a population of American adults in general. Materials and methods: We evaluated 29,201 individuals (>= 20 years) from the National Health and Nutrition Examination Survey (NHANES). The association between heavy metal exposure and kidney stones was verified by multiple logistic regression and restricted cubic spline (RCS) regression. Dose-response curves were generated to analyze the relationship between heavy metal concentrations and the occurrence of kidney stones. Moreover, we used propensity score matching (PSM) to exclude the effect of confounding variables. Results: After a rigorous enrollment screening process, we included 8518 participants. Logistic regression showed that urinary cadmium (U-Cd) and urinary cobalt (U-Co) concentrations were significantly different in the kidney stone group before PSM (p < 0.001). Dose-response curves revealed that the occurrence of kidney stones increased significantly with increasing U-Cd and U-Co concentrations. After adjustment for covariates, only biomarkers of U-Co were linked to the occurrence of kidney stones. When the lowest quartile was used as a reference, the 95% confidence intervals (95% CIs) for kidney stones across the other quartiles were 1.015 (0.767-1.344), 1.409 (1.059-1.875), and 2.013 (1.505-2.693) for U-Cos (p < 0.001). Conclusion: In the U.S. population, high U-Co levels are positively correlated with the potential risk of kidney stones.
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关键词
Cobalt,cadmium,kidney stones,NHANES,cross-sectional survey
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