Suppr超能文献

比较血糖变异性和糖化血红蛋白作为未诊断糖尿病患者冠心病的危险因素。

Comparison of glycemic variability and glycated hemoglobin as risk factors of coronary artery disease in patients with undiagnosed diabetes.

机构信息

Department of Cardiology, Beijing An Zhen Hospital, Capital Medical University, Beijing 100029, China.

出版信息

Chin Med J (Engl). 2012 Jan;125(1):38-43.

Abstract

BACKGROUND

The role of chronic hyperglycaemia as a coronary artery disease (CAD) risk factor is well-known, and the glycemic variability is still a matter of debate. The aim of this study was to investigate the association of admission glycemic excursion and hemoglobin A(1c) (HbA(1c)) with the presence and severity of CAD in patients with undiagnosed diabetes mellitus (DM).

METHODS

We studied 286 newly diagnosed DM patients without prior revascularization undergoing coronary angiography for suspected ischaemic chest pain. Patients were grouped into those with CAD and without CAD according to angiographic results. The severity of CAD was assessed using the Gensini score. Glycemic variability, indicated as the mean amplitude of glycemic excursions (MAGE), was determined by a continuous glucose monitoring system. Serum levels of HbA(1c) and high-sensitive C-reactive protein (hs-CRP) as well as plasma concentrations of fasting glucose, lipids and creatinine were measured in all patients. Predictors of CAD were determined using multivariate Logistic regression model and receiver-operating characteristic (ROC) curves.

RESULTS

The newly diagnosed DM patients with CAD were older, and more were male and current cigarette smokers compared with the patients without CAD. The CAD group had significantly higher levels of MAGE and HbA(1c). Individuals with high levels of HbA(1c) (≥ 7%) or MAGE (≥ 3.4 mmol/L) had also significantly higher CAD prevalence. Logistic regression analysis revealed that high MAGE level and high HbA(1c) level were independent predictors for CAD. The area under the receiver-operating characteristic curve for MAGE (0.606, P = 0.005) was superior to that for HbA(1c) (0.582, P = 0.028). Gensini score closely correlated with age, MAGE, HbA(1c), hs-CRP, creatinine and total cholesterol. Multivariate analysis indicated that age (P < 0.001), MAGE (P < 0.001), HbA(1c) (P = 0.022) and hs-CRP (P = 0.005) were independent determinants for Gensini score.

CONCLUSIONS

Both admission glycemic excursion and chronic hyperglycaemia are associated with the severity of CAD in newly diagnosed DM patients. MAGE displays a significant value in predicting CAD in patients with undiagnosed diabetes even more than HbA(1c).

摘要

背景

慢性高血糖作为冠心病(CAD)的危险因素已广为人知,血糖变异性仍存在争议。本研究旨在探讨入院时血糖波动和糖化血红蛋白(HbA1c)与未经诊断的糖尿病(DM)患者中 CAD 存在和严重程度的关系。

方法

我们研究了 286 例新诊断的 DM 患者,这些患者在因疑似缺血性胸痛行冠状动脉造影时未进行过再血管化治疗。根据血管造影结果,将患者分为 CAD 组和非 CAD 组。采用 Gensini 评分评估 CAD 的严重程度。通过连续血糖监测系统确定血糖变异性,表现为平均血糖波动幅度(MAGE)。所有患者均测量血清 HbA1c 和高敏 C 反应蛋白(hs-CRP)水平以及空腹血糖、血脂和肌酐的血浆浓度。使用多元 Logistic 回归模型和受试者工作特征(ROC)曲线确定 CAD 的预测因素。

结果

与非 CAD 患者相比,新诊断的 DM 合并 CAD 患者年龄较大,男性和当前吸烟者比例更高。CAD 组的 MAGE 和 HbA1c 水平明显更高。HbA1c(≥7%)或 MAGE(≥3.4mmol/L)水平较高的个体,其 CAD 患病率也明显较高。Logistic 回归分析显示,高 MAGE 水平和高 HbA1c 水平是 CAD 的独立预测因素。MAGE 的 ROC 曲线下面积(0.606,P=0.005)优于 HbA1c(0.582,P=0.028)。Gensini 评分与年龄、MAGE、HbA1c、hs-CRP、肌酐和总胆固醇密切相关。多变量分析表明,年龄(P<0.001)、MAGE(P<0.001)、HbA1c(P=0.022)和 hs-CRP(P=0.005)是 Gensini 评分的独立决定因素。

结论

入院时血糖波动和慢性高血糖均与新诊断的 DM 患者 CAD 的严重程度相关。MAGE 在预测未经诊断的糖尿病患者的 CAD 方面甚至比 HbA1c 更有意义。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验