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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Renal Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1459946

Nonlinear Association of Cardiometabolic Index with Hyperuricemia: Insights from the NHANES 1999-2018 Study

Provisionally accepted
  • 1 Department of Critical Care Medicine, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
  • 2 West China School of Nursing, Sichuan University, Chengdu, China

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

    Background: Hyperuricemia, a risk factor for gout and cardiovascular diseases, has been linked to various metabolic disorders. This study investigates the association between the cardiometabolic index (CMI) and hyperuricemia.Methods: Using the National Health and Nutrition Examination Survey 1999-2018 data from 23,212 participants, we employed survey-weighted logistic regression to quantify the CMI-hyperuricemia relationship. Generalized additive models explored potential nonlinear relationships, with two-piecewise logistic regression identifying inflection points. Stratified analyses across demographic and health subgroups assessed relationship consistency.Results: We found a significant association between higher CMI and increased hyperuricemia and identified a nonlinear relationship, characterized by a faster risk increase at lower CMI levels and slower at higher levels. This pattern remained consistent across all demographic and health subgroups.Conclusions: Higher CMI significantly predicts hyperuricemia across diverse populations, with a pronounced nonlinear association. This pattern underscores the importance of early intervention, emphasizing the need for personalized risk assessments and targeted strategies.

    Keywords: Cardiometabolic index (CMI), Hyperuricemia, NHANES (National Health and Nutrition Examination Survey), Generalized additive model, nonlinear

    Received: 05 Jul 2024; Accepted: 06 Mar 2025.

    Copyright: © 2025 Yang, Luo and Lai. 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: Wei Lai, Department of Critical Care Medicine, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 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.

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