ArticleInternational journal of endocrinology2023
Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons.
Article in International journal of endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Relationship of HOMA-IR with chronic kidney disease in diabetic and non-diabetic Chinese populations: findings from the REACTION study.Frontiers in endocrinology · 2026Article
- Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS.Journal of health, population, and nutrition · 2025Article
- Risk factors for chronic kidney disease progression over 20 years for primary prevention in Japanese individuals at a preventive medicine research center: Focus on the influence of plasma glucose levels.Journal of diabetes investigation · 2024Article
- Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons.International journal of endocrinology · 2023Article
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Authors and funding
20 authors at 1 institution in 1 country.
Funding
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Abstract
Objective: Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD. Methods: We performed a community-based population on 5232 subjects aged ≥40 years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m Results: With an average follow-up of 3.6 years, 6.4% of the subjects developed CKD. Pearson's correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR = 1.17, 95% CI: 1.04-1.31). Conclusion: HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.
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Registered trials
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