医学
肾结石
逻辑回归
内科学
糖尿病
横断面研究
子群分析
肾
荟萃分析
内分泌学
病理
作者
Sabrina Kailu Zhong,Guoliang Li,Chao Tian,Maolin Jiang,Dong Chen,Hangtao Wang,Pengfei Diao
标识
DOI:10.3389/fendo.2025.1485477
摘要
Background Kidney stones are a prevalent disorder that is linked to a range of metabolic variables. The cardiometabolic index (CMI) is a newly developed combined measure used to evaluate the state of cardiometabolic health. Nevertheless, the association between CMI and kidney stone remains little investigated. Methods In this study, cross-sectional analysis was done on NHANES data from 2007 to 2018. The association between the prevalence of kidney stones and the CMI was investigated using a logistic regression analysis. To look into the nonlinear link between them, we used restricted cubic spline (RCS) analysis. The study was made more reliable and accurate by using sensitivity analysis and subgroup analysis to look for factors that may have contributed to the different results. Results A significant association was seen between increased CMI and the prevalence of kidney stones (OR = 1.19, 95% CI: 1.06-1.32). The RCS analysis revealed crucial CMI values that exhibited a robust association within a certain range. Subgroup studies revealed that this link was particularly prominent among those below the age of 50, females, obese, CKD and diabetes patients. The dependability of the study’s conclusions was further established using sensitivity analysis. Conclusion This study established a notable association between CMI and a higher prevalence of kidney stones, emphasizing the significance of CMI as a comprehensive measure for evaluating metabolic risk. Furthermore, it suggests that monitoring CMI levels could be beneficial in identifying populations with a high prevalence of kidney stones.
科研通智能强力驱动
Strongly Powered by AbleSci AI