Int J Med Sci 2020; 17(11):1515-1521. doi:10.7150/ijms.46477

Research Paper

Association between Prediabetes and Renal Dysfunction from a Community-based Prospective Study

Chao Chen1*, Guangxu Liu2*, Xiaolan Yu3, Yongbo Yu4✉, Guangfeng Liu5✉

1. Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
2. National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China.
3. Beijing Jiangong Hospital, Beijing, 100054, China.
4. Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China.
5. Department of Emergency, Feicheng Traditional Chinese Medicine Hospital, Taian, Shandong, 271600, China.
*These authors contributed equally to this work.

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Citation:
Chen C, Liu G, Yu X, Yu Y, Liu G. Association between Prediabetes and Renal Dysfunction from a Community-based Prospective Study. Int J Med Sci 2020; 17(11):1515-1521. doi:10.7150/ijms.46477. Available from https://www.medsci.org/v17p1515.htm

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Abstract

Objective: Our study aimed to evaluate the association between prediabetes and renal dysfunction, and further assess which of glycemic indices of fasting plasma glucose (FPG), postprandial plasma glucose (PPG) and hemoglobin A1c (HbA1c) has a higher risk of renal dysfunction.

Methods: This was a community-based prospective cohort study, which included 7015 participants from Beijing and Taian between May and October in 2015. The outcome was the renal dysfunction defined as estimated glomerular filtration rate (eGFR)<60 mL/min/1.73 m2. Univariate and multivariate logistic regression model was performed, and calculated the odds ratio (OR) and 95% confidence interval (95%CI) of renal dysfunction. Receiver operating curve (ROC) analysis was used to predict renal dysfunction for glycemic indices.

Results: 121 renal dysfunction cases were identified. We found that the adjusted ORs (95%CI) of renal dysfunction were 1.72 (1.11-2.38), 1.48 (1.09-1.93), 1.97 (1.27-2.89) and 1.35 (1.07-2.13), respectively, for those with prediabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated HbA1c, compared with individuals with normal glucose tolerance. And IGT presented a higher risk of renal dysfunction than other glycemic indices. The similar results were obtained by performing the subgroup analysis. ROC analysis revealed the PPG had a higher predictive value for renal dysfunction.

Conclusion: We found prediabetes was positively associated with the risk of renal dysfunction and PPG had a higher risk and predictive value of renal dysfunction than other glycemic indices of FPG and HbA1c.

Keywords: prediabetes, renal dysfunction, association