Frontiers in public health · 2023
National analysis of urinary cadmium concentration and kidney stone: Evidence from NHANES (2011-2020).
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Ye Zhenyang, Chen Zaizhi, Luo Jinyang, Xu Lijing, Fan Dongping, Wang Jia
Аннотация
BACKGROUND: The association between urinary cadmium and kidney stone risk is inconsistent in previous studies, which needs further exploration. This study was performed to explore the association between urinary cadmium and kidney stone.
MATERIALS AND METHODS: Data from the National Health and Nutrition Examination Survey (2011-2020) were included and further analyzed. Urinary cadmium was stratified into quartiles with quartile 1 (Q1: 0.025-0.104 μg/L) and quartile 4 (Q4: 0.435-7.581 μg/L). Further weighted logistic regression was adopted to evaluate the association between urinary cadmium and kidney stone. A subgroup analysis was used to verify the findings. The non-linear association was examined using the restricted cubic spline (RCS) regression.
RESULTS: A total of 9,056 adults aged 20 years and above were included in this study. In the fully adjusted model, an increased risk of kidney stones was identified for quartile 2 (OR = 1.40, 95% CI = 1.06-1.84, P < 0.05), quartile 3 (OR = 1.18, 95% CI = 0.88-1.59, P > 0.05), and quartile 4 (OR = 1.54, 95% CI = 1.10-2.06, P < 0.05). A similar association was found between continuous cadmium increase and OR of kidney stones in the fully adjusted model (OR = 1.13, 95% CI = 1.01-1.26, P < 0.05). The RCS also indicated a non-linear association between urinary cadmium concentration and kidney stone risk (P for non-linear < 0.001).
CONCLUSION: In summary, cadmium exposure is identified as a risk factor for kidney stones in this study. Their non-linear association makes demands on early intervention for the cadmium-exposed population. Medical interventions for kidney stone prevention should take cadmium exposure into account.
MATERIALS AND METHODS: Data from the National Health and Nutrition Examination Survey (2011-2020) were included and further analyzed. Urinary cadmium was stratified into quartiles with quartile 1 (Q1: 0.025-0.104 μg/L) and quartile 4 (Q4: 0.435-7.581 μg/L). Further weighted logistic regression was adopted to evaluate the association between urinary cadmium and kidney stone. A subgroup analysis was used to verify the findings. The non-linear association was examined using the restricted cubic spline (RCS) regression.
RESULTS: A total of 9,056 adults aged 20 years and above were included in this study. In the fully adjusted model, an increased risk of kidney stones was identified for quartile 2 (OR = 1.40, 95% CI = 1.06-1.84, P < 0.05), quartile 3 (OR = 1.18, 95% CI = 0.88-1.59, P > 0.05), and quartile 4 (OR = 1.54, 95% CI = 1.10-2.06, P < 0.05). A similar association was found between continuous cadmium increase and OR of kidney stones in the fully adjusted model (OR = 1.13, 95% CI = 1.01-1.26, P < 0.05). The RCS also indicated a non-linear association between urinary cadmium concentration and kidney stone risk (P for non-linear < 0.001).
CONCLUSION: In summary, cadmium exposure is identified as a risk factor for kidney stones in this study. Their non-linear association makes demands on early intervention for the cadmium-exposed population. Medical interventions for kidney stone prevention should take cadmium exposure into account.