Dysglycemia is associated with poorer prognosis in patients with acute myocardial infarction (AMI). Whether admission glycemic variability (GV) has important value in prognosis of AMI patients is still unknown. The aim of study is to investigate the prognostic value of admission GV, glucose, and glycosylated HbA(1c) in AMI patients.RESEARCH DESIGN AND METHODS
We measured blood glucose, HbA(1c), and GV on admission in 222 consecutive patients with diagnosed AMI. GV, indicated as the mean amplitude of glycemic excursions (MAGE), was determined by a continuous glucose-monitoring system. MAGE was categorized as ≥3.9 or <3.9 mmol/L; admission glucose as ≥8.61 or <8.61 mmol/L; and HbA(1c) as ≥6.5 or <6.5%. Participants were followed up prospectively for 12 months. The relationship of admission MAGE, glucose, and HbA(1c) to the major adverse cardiac event (MACE) of AMI patients was analyzed.RESULTSIn 222 enrolled patients with AMI, the rate of MACE by MAGE category (<3.9 or ≥3.9 mmol/L) was 8.4 and 24.1%, respectively (P = 0.001), by admission glucose category (<8.61 or ≥8.61 mmol/L) was 10.1 and 21.6%, respectively (P = 0.020), and by HbA(1c) category (<6.5 vs. ≥6.5%) was 10.7 versus 18.7%, respectively (P = 0.091). In multivariate analysis, high MAGE level was significantly associated with incidence of MACE (hazard ratio 2.419 [95% CI 1.273-9.100]; P = 0.017) even after adjusting for Global Registry of Acute Coronary Events risk score, but admission glucose and HbA(1c) was not.CONCLUSIONS
Elevated admission glycemic variability appears more important than admission glucose and prior long-term abnormal glycometabolic status in predicting 1-year MACE in patients with AMI.
Diabetes care 01/2013; · 8.09 Impact Factor
ABSTRACT: 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).
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.
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.
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).
Chinese medical journal 01/2012; 125(1):38-43. · 0.86 Impact Factor
ABSTRACT: Glucose variability is one of components of the dysglycemia in diabetes and may play an important role in development of diabetic vascular complications. The objective of this study was to assess the relationship between glycemic variability determined by a continuous glucose monitoring (CGM) system and the presence and severity of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM).
In 344 T2DM patients with chest pain, coronary angiography revealed CAD (coronary stenosis ≥ 50% luminal diameter narrowing) in 252 patients and 92 patients without CAD. Gensini score was used to assess the severity of CAD. All participants' CGM parameters and biochemical characteristics were measured at baseline.
Diabetic patients with CAD were older, and more were male and cigarette smokers compared with the controls. Levels of the mean amplitude of glycemic excursions (MAGE) (3.7 ± 1.4 mmol/L vs. 3.2 ± 1.2 mmol/L, p < 0.001), postprandial glucose excursion (PPGE) (3.9 ± 1.6 mmol/L vs. 3.6 ± 1.4 mmol/L, p = 0.036), serum high-sensitive C-reactive protein (hs-CRP) (10.7 ± 12.4 mg/L vs. 5.8 ± 6.7 mg/L, p < 0.001) and creatinine (Cr) (87 ± 23 mmol/L vs. 77 ± 14 mmol/L, p < 0.001) were significantly higher in patients with CAD than in patients without CAD. Gensini score closely correlated with age, MAGE, PPGE, hemoglobin A1c (HbA1c), hs-CRP and total cholesterol (TC). Multivariate analysis indicated that age (p < 0.001), MAGE (p < 0.001), serum levels of HbA1c (p = 0.022) and hs-CRP (p = 0.005) were independent determinants for Gensini score. Logistic regression analysis revealed that MAGE ≥ 3.4 mmol/L was an independent predictor for CAD. The area under the receiver-operating characteristic curve for MAGE (0.618, p = 0.001) was superior to that for HbA1c (0.554, p = 0.129).
The intraday glycemic variability is associated with the presence and severity of CAD in patients with T2DM. Effects of glycemic excursions on vascular complications should not be neglected in diabetes.
Cardiovascular Diabetology 02/2011; 10:19. · 3.35 Impact Factor