Zhong Suquan, Li Guoliang, Tian Chao, Jiang Maolin, Chen Dong, Wang Hangtao, Diao Pengfei
Department of Urology, Yuebei People Hospital Affiliated to Medical College of Shantou University, Shaoguan, China.
Front Endocrinol (Lausanne). 2025 Mar 10;16:1485477. doi: 10.3389/fendo.2025.1485477. eCollection 2025.
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.
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.
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.
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.
肾结石是一种常见疾病，与一系列代谢变量相关。心脏代谢指数（CMI）是一种新开发的综合指标，用于评估心脏代谢健康状况。然而，CMI与肾结石之间的关联仍鲜少被研究。
在本研究中，对2007年至2018年的美国国家健康和营养检查调查（NHANES）数据进行了横断面分析。使用逻辑回归分析研究肾结石患病率与CMI之间的关联。为了探究它们之间的非线性关系，我们使用了受限立方样条（RCS）分析。通过敏感性分析和亚组分析来寻找可能导致不同结果的因素，使研究更加可靠和准确。
CMI升高与肾结石患病率之间存在显著关联（OR = 1.19，95%CI：1.06 - 1.32）。RCS分析揭示了在一定范围内呈现出强烈关联的关键CMI值。亚组研究表明，这种关联在50岁以下人群、女性、肥胖者、慢性肾脏病患者和糖尿病患者中尤为突出。使用敏感性分析进一步确定了研究结论的可靠性。
本研究确立了CMI与较高肾结石患病率之间的显著关联，强调了CMI作为评估代谢风险的综合指标的重要性。此外，这表明监测CMI水平可能有助于识别肾结石高患病率人群。
