Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120 Heidelberg, Germany.
Diabetologia. 2013 Jan;56(1):92-100. doi: 10.1007/s00125-012-2707-x. Epub 2012 Sep 19.
AIMS/HYPOTHESIS: This study aimed to assess the cardiovascular risk of individuals with fasting plasma glucose (FPG)- and/or HbA(1c)-defined prediabetes (5.6-6.9 mmol/l and 39-47 mmol/mol [5.7-6.4%], respectively) or manifest diabetes mellitus and to evaluate whether FPG or HbA(1c) can improve risk prediction beyond that estimated by the Systematic Coronary Risk Evaluation (SCORE) chart in individuals without diabetes mellitus.
Cox regression was employed to estimate HRs for primary incident cardiovascular events (CVEs) in a cohort of 8,365 individuals aged 50-74 years. Furthermore, HbA(1c) and FPG were added individually to the variables of the SCORE and measures of model discrimination and reclassification were assessed.
During 8 years of follow-up, 702 individuals had a primary CVE. After adjusting for conventional cardiovascular risk factors, HRs were attenuated close to one for the prediabetes groups (especially for women), whereas a 1.7- and a 1.9-fold increased risk persisted for men and women with diabetes, respectively. Extension of the SCORE variables by either FPG or HbA(1c) did not improve its predictive abilities in individuals without diabetes. There was a non-significant net reclassification improvement for men when HbA(1c) was added (2.2%, p = 0.16).
CONCLUSIONS/INTERPRETATION: The increased cardiovascular risk of individuals with FPG- or HbA(1c)-defined prediabetes can mainly be explained by other cardiovascular risk factors. Adding FPG or HbA(1c) did not significantly improve CVE risk prediction by the SCORE variables in individuals without diabetes mellitus.
目的/假设:本研究旨在评估空腹血糖(FPG)和/或糖化血红蛋白(HbA1c)定义的糖尿病前期(5.6-6.9mmol/l 和 39-47mmol/mol[5.7-6.4%])或显性糖尿病患者的心血管风险,并评估 FPG 或 HbA1c 是否可以在没有糖尿病的个体中,改善系统性冠状动脉风险评估(SCORE)图表估计的风险预测。
采用 Cox 回归分析评估了 8365 名 50-74 岁个体的主要首发心血管事件(CVE)的 HR。此外,HbA1c 和 FPG 分别被添加到 SCORE 变量中,并评估了模型区分度和重新分类的措施。
在 8 年的随访期间,702 名患者发生了首发 CVE。在调整了常规心血管危险因素后,糖尿病前期组的 HR 接近 1(尤其是女性),而男性和女性的糖尿病患者的风险持续增加 1.7 倍和 1.9 倍。在没有糖尿病的个体中,SCORE 变量的扩展并没有改善其预测能力。当添加 HbA1c 时,男性的净重新分类改善具有非显著性(2.2%,p=0.16)。
结论/解释:FPG 或 HbA1c 定义的糖尿病前期个体的心血管风险增加主要可以用其他心血管危险因素来解释。在没有糖尿病的个体中,添加 FPG 或 HbA1c 并没有显著改善 SCORE 变量对 CVE 风险的预测。