Subject(s)
Nephrolithotomy, Percutaneous , Postoperative Complications , Solitary Kidney , Humans , Nephrolithotomy, Percutaneous/adverse effects , Nephrolithotomy, Percutaneous/methods , Postoperative Complications/etiology , Solitary Kidney/complications , Male , Kidney Calculi/surgery , Female , Middle AgedABSTRACT
BACKGROUND: This study aimed to investigate the association between different metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of kidney stones. MATERIALS AND METHODS: Participants aged 20-80 years from six consecutive cycles of the NHANES 2007-2018 were included in this study. According to their MetS status and BMI, the included participants were allocated into six mutually exclusive groups: metabolically healthy normal weight (MHN)/overweight (MHOW)/obesity (MHO) and metabolically unhealthy normal weight (MUN)/overweight (MUOW)/obesity (MUO). To explore the association between MetS-BMI phenotypes and the risk of kidney stones, binary logistic regression was used to determine the odds ratios (ORs). RESULTS: A total of 13,589 participants were included. It was revealed that all the phenotypes with obesity displayed higher risks of kidney stones (OR = 1.38, p < 0.01 for MHO & OR = 1.80, p < 0.001 for MUO, in the fully adjusted model). The risk increased significantly when metabolic dysfunction coexisted with overweight and obesity (OR = 1.39, p < 0.05 for MUOW & OR = 1.80, p < 0.001 for MUO, in the fully adjusted model). Of note, the ORs for the MUO and MUOW groups were higher than those for the MHO and MHOW groups, respectively. CONCLUSIONS: Obesity and unhealthy metabolic status can jointly increase the risk of kidney stones. Assessing the metabolic status of all individuals may be beneficial for preventing kidney stones.
Subject(s)
Kidney Calculi , Metabolic Syndrome , Obesity , Humans , Body Mass Index , Cross-Sectional Studies , Kidney Calculi/epidemiology , Kidney Calculi/etiology , Metabolic Syndrome/epidemiology , Nutrition Surveys , Obesity/complications , Obesity/epidemiology , Overweight/complications , Overweight/epidemiology , Risk Factors , Adult , Middle Aged , Aged , Aged, 80 and over , Male , FemaleABSTRACT
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.
