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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Clinical Diabetes

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1552772

This article is part of the Research Topic Highlights in Diabetes Nephropathy View all 10 articles

Association between neutrophil-percentage-to-albumin Ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a crosssectional study from NHANES 2009-2018

Provisionally accepted
Hongying Li Hongying Li 1Yue Xu Yue Xu 1Shuhan Fan Shuhan Fan 1Ziming Wang Ziming Wang 1Hao Chen Hao Chen 1Lin Zhang Lin Zhang 1Yun Lu Yun Lu 2*Yifan Miao Yifan Miao 2*
  • 1 School of Clinical Medicine, Chengdu University of Traditional Chinses Medicine, Chengdu, China
  • 2 Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China

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

    Background:The neutrophil-percentage-to-albumin ratio (NPAR), as a low-cost and easily accessible inflammatory biomarker, has garnered considerable attention in various disease studies in recent years. Specifically, existing research has suggested a significant correlation between NPAR and diabetic retinopathy, indicating its potential relevance to diabetic complications. However, despite diabetic kidney disease (DKD) being a complication that severely affects the quality of life of diabetic patients, the association between the prevalence of DKD and NPAR remains to be elucidated.Therefore, this study aims to explore the potential link between NPAR and DKD in patients with type 2 diabetes mellitus.Methods:We extracted complete data on neutrophil percentage, plasma albumin, serum creatinine, and urine albumin-to-creatinine ratio from the National Health and Nutrition Examination Survey database spanning from 2009 to 2018. Multivariable logistic regression models were employed to examine the relationship between NPAR levels and DKD, and conducted sensitivity tests, subsequently employing Generalized Additive Models combined with smooth curve fitting methods to explore the relationships among variables. Then, subgroup analyses were conducted on the association between NPAR and DKD to investigate changes in the relationship across different subgroups. Finally, Receiver operating characteristic curves were used to assess the predictive performance of the independent variable, NPAR, for the dependent variable, DKD.Results:A total of 2,263 participants were enrolled in this cross-sectional study. After adjusting for confounding factors, the odds ratio for DKD was 1.44 (95% CI: 1.08-1.90) for the second quartile group, 1.75 (95% CI: 1.33-2.31) for the third quartile group, and 2.95 (95% CI: 2.22-3.93) for the fourth quartile group. Among patients with type 2 diabetes mellitus, a positive correlation was observed between NPAR and DKD. Results from subgroup analyses showed no significant differences among different populations. ROC analysis indicated that NPAR had good predictive performance for DKD.Conclusion:The prevalence of DKD indicated a positive association with NPAR among individuals with T2DM. Additional large-scale prospective investigations may be helpful in corroborating these findings.

    Keywords: neutrophil-percentage-to-albumin ratio, type 2 diabetes mellitus, national Health and Nutrition Examination Survey (NHANES), Inflammation, Diabetic kidney disease

    Received: 29 Dec 2024; Accepted: 17 Feb 2025.

    Copyright: © 2025 Li, Xu, Fan, Wang, Chen, Zhang, Lu and Miao. 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:
    Yun Lu, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
    Yifan Miao, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 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.

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