Hermann Julia M, Hammes Hans-Peter, Rami-Merhar Birgit, Rosenbauer Joachim, Schütt Morten, Siegel Erhard, Holl Reinhard W
Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
5th Medical Department, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
PLoS One. 2014 Mar 7;9(3):e91137. doi: 10.1371/journal.pone.0091137. eCollection 2014.
This study aimed to analyze the effect of HbA1c variability on the occurrence of diabetic retinopathy in type 1 diabetes patients.
35,891 patients with childhood, adolescent or adult onset of type 1 diabetes from a large multicentre survey, the German/Austrian prospective documentation system (DPV), were analysed. Cox proportional hazard models were used to examine whether intra-individual HbA1c variability expressed as variation coefficient is an independent risk factor for the occurrence of diabetic retinopathy.
Kaplan-Meier curves stratified by median HbA1c and variation coefficient revealed that retinopathy-free survival probability is lower when both median HbA1c and HbA1c variability are above the 50th percentile. Cox regression models confirmed this finding: After adjustment for age at diabetes onset, gender and median HbA1c, HbA1c variability was independently associated with the occurrence of diabetic retinopathy. Time-covariate interactions used to model non-proportionality indicated an effect decreasing with duration of diabetes for both median HbA1c and HbA1c variability. Predictive accuracy increased significantly when adding HbA1c variability to the Cox regression model.
In patients with type 1 diabetes, HbA1c variability adds to the risk of diabetic retinopathy independently of average metabolic control.
本研究旨在分析糖化血红蛋白(HbA1c)变异性对1型糖尿病患者糖尿病视网膜病变发生的影响。
对来自一项大型多中心调查——德国/奥地利前瞻性记录系统(DPV)的35891例儿童期、青少年期或成年期发病的1型糖尿病患者进行分析。采用Cox比例风险模型检验以变异系数表示的个体内HbA1c变异性是否为糖尿病视网膜病变发生的独立危险因素。
按HbA1c中位数和变异系数分层的Kaplan-Meier曲线显示,当HbA1c中位数和HbA1c变异性均高于第50百分位数时,无视网膜病变生存概率较低。Cox回归模型证实了这一发现:在对糖尿病发病年龄、性别和HbA1c中位数进行校正后,HbA1c变异性与糖尿病视网膜病变的发生独立相关。用于模拟非比例性的时间-协变量交互作用表明,HbA1c中位数和HbA1c变异性的效应均随糖尿病病程延长而降低。在Cox回归模型中加入HbA1c变异性后,预测准确性显著提高。
在1型糖尿病患者中,HbA1c变异性会增加糖尿病视网膜病变风险,且独立于平均代谢控制情况。