Abstract

BackgroundPrevious studies have revealed that chronic kidney disease (CKD) is a significant risk factor for insulin resistance and diabetes. However, few studies are on the association between estimated glomerular filtration rate (eGFR) and incident diabetes, especially in the Chinese population with eGFR>60 mL/min·1.73 m2. This study explored the relationship between eGFR and incident diabetes in a large cohort in the Chinese community.MethodsThis study was a retrospective cohort study. A total of 1,99,435 adults from Rich Healthcare Group in China were studied, including all medical records for participants who received a health check from 2010 to 2016. The target-independent and target-dependent variables were eGFR measured at baseline, and incident diabetes mellitus appeared during the follow-up. After testing the proportion hypothesis, Cox proportional hazards regression was used to investigate the association between eGFR and incident diabetes. A Cox proportional hazards regression with cubic spline functions and smooth curve fitting (the cubic spline smoothing) was used to identify non-linear relationships between eGFR and the risk of diabetes. Additionally, we also performed subgroup analysis and a series sensitivity analysis. It was stated that the data had been uploaded to the DATADRYAD website.ResultAfter adjusting gender, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), smoking and drinking status, and family history of diabetes, the result showed that eGFR was negatively associated with incident diabetes [HR = 0.986, 95% CI (0.984, 0.988)]. A non-linear relationship was detected between eGFR and incident diabetes, with an inflection point of eGFR of 98.034 mL/min·1.73 m2. The effect sizes and the confidence intervals (Cis) on the left and right sides of the inflection point were 0.998 (0.993, 1.003) and 0.976 (0.972, 0.980), respectively. Subgroup analysis showed a stronger association in the population with FPG <6.1 mmol/L, BMI <24 kg/m2, SBP <140 mmHg, DBP <90 mmHg and family history without diabetes. The same trend was also seen in women and the population who never smoke.ConclusionEstimated glomerular filtration rate is independently associated with incident diabetes. The relationship between eGFR and incident diabetes is also non-linear. eGFR is strongly related to incident diabetes when eGFR was above 98.034 mL/min·1.73 m2.

Highlights

  • Previous studies have revealed that chronic kidney disease (CKD) is a significant risk factor for insulin resistance and diabetes

  • The results showed that body mass index (BMI), age, diastolic blood pressure (DBP), systolic blood pressure (SBP), TG, LDL, total cholesterol (TC), fasting plasma glucose (FPG), aspartate aminotransferase (AST), alanine aminotransferase (ALT), drinking and smoking status, and family history of diabetes were positively associated with incident diabetes

  • EGFR was negatively associated with incident diabetes [hazard ratios (HR) = 0.964, 95% confidence interval (CI):0.962–0.966, p < 0.00001]

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Summary

Introduction

Previous studies have revealed that chronic kidney disease (CKD) is a significant risk factor for insulin resistance and diabetes. Few studies are on the association between estimated glomerular filtration rate (eGFR) and incident diabetes, especially in the Chinese population with eGFR>60 mL/min·1.73 m2. This study explored the relationship between eGFR and incident diabetes in a large cohort in the Chinese community. The prevalence of diabetes among Chinese adults has increased significantly [1]. Nationally representative survey of Chinese adults, the estimated overall prevalence of diabetes rose to 10.9% in 2013 [2]. It is imperative to examine and intervene in the risk factors of diabetes. The identification of risk factors is essential to prevent diabetes

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