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ORIGINAL RESEARCH article

Front. Endocrinol.
Sec. Renal Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1535724

Diabetes mediates an inverted L-shaped association between cardiometabolic index and kidney stones: a cross-sectional study from NHANES 2007-2020

Provisionally accepted
Jinghui Bi Jinghui Bi 1Jianwei Du Jianwei Du 2*Xiaoyi Yan Xiaoyi Yan 2*Rongxin Chen Rongxin Chen 3*
  • 1 Liaocheng Third People’s Hospital, Liaocheng, China
  • 2 Weifang People's Hospital, Weifang, Shandong Province, China
  • 3 Shengli Oilfield Central Hospital, Dongying, Shandong Province, China

The final, formatted version of the article will be published soon.

    Background: Kidney stones are a chronic metabolic disorder. The cardiometabolic index (CMI) is a new and easily accessible measure used to assess metabolic status.However, the relationship between CMI and the incidence of kidney stones remains unclear.Methods: Data from the National Health and Nutrition Examination Survey (NHANES) was used in our cross-sectional study. A weighted multivariable logistic regression analysis was conducted to assess the relationship between CMI and kidney stone incidence. Subgroup and restricted cubic spline regression analyses were utilized to confirm robustness and assess the non-linearity of the association between CMI and kidney stone incidence.Results: This study involved 18,043 individuals, of whom 9.89% were diagnosed with kidney stones. After controlling for all covariates, CMI showed a significant positive association with kidney stone incidence (OR: 1.07, 95%CI: 1.02-1.12). Individuals in the highest CMI quartile experienced a 50% higher incidence of kidney stones than those in the lowest quartile (OR: 1.50, 95%CI: 1.18-1.92). Additionally, a significant interaction was observed in the subgroup with a history of diabetes (p < 0.05).The study identified a notable non-linear relationship between elevated CMI levels and a greater occurrence of kidney stones. This finding suggests that by routinely monitoring CMI levels, physicians can identify individuals at risk for kidney stones early, allowing for timely intervention to mitigate disease progression.

    Keywords: Cardiometabolic index, Kidney stone, diabetes, NHANES, Cross-sectional

    Received: 27 Nov 2024; Accepted: 07 Feb 2025.

    Copyright: © 2025 Bi, Du, Yan and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Jianwei Du, Weifang People's Hospital, Weifang, 261000, Shandong Province, China
    Xiaoyi Yan, Weifang People's Hospital, Weifang, 261000, Shandong Province, China
    Rongxin Chen, Shengli Oilfield Central Hospital, Dongying, Shandong Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.