医学
糖化血红素
内科学
肾脏疾病
肾功能
危险系数
2型糖尿病
糖尿病
比例危险模型
2型糖尿病
队列研究
吉
内分泌学
广义估计方程
置信区间
统计
数学
作者
Chih‐Hung Lin,Ying-Chuen Lai,Tien‐Jyun Chang,Yi‐Der Jiang,Yi‐Cheng Chang,Lee‐Ming Chuang
标识
DOI:10.1016/j.diabres.2022.109834
摘要
Hemoglobin glycation index (HGI) is used to describe the difference between estimated and measured glycated hemoglobin (HbA1c). We aimed to study whether HGI can predict renal function deterioration in patients with type 2 diabetes and a low risk of chronic kidney disease (CKD).This retrospective cohort study enrolled 780 patients with type 2 diabetes and a low CKD risk according to the criteria of kidney disease: improving global outcomes. Participants were divided into two subgroups according to the baseline HGI calculated by fasting blood glucose and HbA1c. Multivariate Cox proportional hazard models were used to evaluate the hazard ratios of the study endpoints. Longitudinal data was analyzed using generalized estimating equation (GEE).The participants were followed for a median of 7.3 years. A high HGI predicted rapid renal function decline without or with a resultant eGFR < 60 ml/min/1.73 m2, but not onset of macroalbuminuria. The longitudinal GEE model demonstrated a negative association between HGI and the predicted eGFR changes in both the 1-year and 3-year intervals.HGI independently predicted renal function deterioration in patients with type 2 diabetes and a low CKD risk. Further investigations are warranted to elucidate its potential clinical impact.
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