Metabolic syndrome is not associated with reduction in aortic distensibility in subjects with type 2 diabetes mellitus

A total of 210 subjects with T2DM, consecutively selected from the diabetes outpatient clinic of our hospital were enrolled into the study. Diagnosis of diabetes was based on the American Diabetes Association criteria [11]. A detailed history for the presence of cardiovascular disease, current medication, information about other diseases and smoking habits was obtained, and a thorough physical examination was performed.

All measurements were performed in the morning, after 10–12 hours fast. The subjects were advised not to eat, smoke, or drink coffee before examination. Blood samples were drawn for measurement of plasma glucose, glycosylated haemoglobin A1c (HbA_1c), creatinine, and lipid profile. The antidiabetic medications were given to the patients at the end of the examination. The purpose of the study was clearly explained to all subjects, who then volunteered to participate. The ethics committee of our hospital approved the study and informed written consent was obtained.

Blood pressure was measured three consecutive times, one minute in apart, in the sitting position using an appropriate cuff size. The mean values of the last two measurements was calculated and used in the analysis. Arterial hypertension was defined according to the current guidelines [12], when systolic was ≥ 140 mm Hg or and/or diastolic blood pressure was ≥ 90 mm Hg or when the patients were on antihypertensive treatment. In addition the type of the antihypertensive treatment was recorded. Of the study subjects 21.2% was on treatment with angiotensin-converting enzyme inhibitors (ACE-I) and/or angiotensin II receptor blockers (ARBs), 4.3% on diuretics, 7.1% on β-blockers, and 9% on calcium channel blockers. Coronary artery disease was defined as presence of angina, history of previous myocardial infarction, positive stress testing, revascularization procedures or stenosis > 50% at the coronary arteries. Direct fundoscopy was performed in all patients through dilated pupils.

Body weight with subjects in light clothing without shoes and height was measured and body mass index (BMI) was calculated. Waist circumference was measured with a soft tape on standing, midway between the lowest rib and the iliac crest. Hip circumference was measured over the widest part of the gluteal region, and then the waist-to-hip ratio (WHR) was calculated.

Subjects having three or more of the following criteria, according to the National Cholesterol Education Program/Adult Treatment Panel III (NCEP/ATP III) report [12], were defined as having the MetS: abdominal obesity (waist circumference > 102 cm in men and > 88 cm in women), triglycerides ≥ 1.7 mmol/L, low HDL cholesterol: ≤ 1.0 mmol/L in men and ≤ 1.3 mmol/L in women, high blood pressure: ≥ 130/85 mm Hg or use of antihypertensive drugs and high fasting plasma glucose: ≥ 6.1 mmol/L or diagnosed diabetes mellitus.

Fasting serum glucose, lipids and creatinine concentrations were measured on a Technicon analyzer RA-XT. Low density lipoprotein (LDL) cholesterol concentrations were calculated using the Friedewald formula [13]. HbA_1c was measured by high-performance liquid chromatography (HPLC) (Roche Diagnostics, Mannheim, Germany) with a non-diabetic reference range of 4.0–6.0%. Microalbuminuria was assessed by measuring the albumin-to-creatinine ratio (ACR) in a random urine sample on a DCA 2000 analyzer using the immunonephelometry technique (Bayer HealthCare LLC, Elkhart, USA). Glomerular filtration rate (GFR) was calculated using the Modification of Diet in Renal Disease formula [14]. Plasma insulin was measured with radioimmunoassay (Biosure, Belgium; c.v. = 3.3 ± 1.2%). Insulin resistance was estimated using the homeostasis model assessment equation of insulin resistance (HOMA-IR) [15].

AD was determined non-invasively based on the relationship between changes in aortic diameter and pressure with each cardiac pulse [4]. The echocardiographic study was carried out using a Hewlett Packard Sonos 1000 ultrasound system (Hewlett Packard, USA), using a 2.5 MHz transducer. Each subject was placed in the mild left recumbent position and the ascending aorta was recorded at a level 3 cm above the aortic valve in the M-mode tracings guided by the two-dimensional echocardiogram in the parasternal long axis view [4]. Internal aortic diameters were measured by means of a caliper in systole and diastole as the distance between the trailing edge of the anterior aortic wall and the leading edge of the posterior aortic wall. Systolic aortic diameter was measured as the maximal anterior motion of the aorta and diastolic diameter at the peak of the QRS complex on the simultaneously recorded electrocardiogram. Blood pressure was measured three consecutive times, one minute in apart at the heart level during echocardiographic examination; the mean values of the last two measurements was calculated and used in the analysis. In addition, aortic diameter was measured for ten consecutive cardiac beats routinely and averaged. AD was calculated according to the formula [4, 16]:

Aortic distensibility = 2 Δ D D d ⋅ ( P s − P d ) 10 − 6 dyn − 1 cm 2 MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=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@68D4@, where ΔD is the change of the aortic diameter between systole and diastole, Dd is the aortic diameter in diastole, Ps is the systolic and Pd is the diastolic blood pressure.

All measurements were performed by the same experienced cardiologist, who was blind for the status of the participants. The intraobserver coefficient of variation was examined in our laboratory in 20 randomly selected healthy subjects and was 4.2% for the systolic and 4.1% for the diastolic aortic dimensions, respectively (not significant differences).

The intra-observer mean percentage error (absolute difference between two observations divided by the mean and expressed as percentage) was determined for the AD in 20 randomly selected subjects and was 7.5% in our center.

Statistical analysis was preformed using programs available in the SPSS statistical package (SPSS 12.0, Chicago, USA). All variables were tested for normal distribution of the data. Data are shown as mean ± SD, unless it is stated otherwise. A two sample t-test was used to assess differences in continuous variables, while a chi-square test was used for categorical variables. Univariate linear regression analysis was performed to look for the relationship between AD and the variables of interest in the sample population. Then, multivariate linear regression analyses were performed (backward stepwise method) to look for independent associations between AD and the variables of interest. A total of 7 models of multivariate linear regression analysis have been created. Model 1 (core model) included the variables that were found to be associated significantly with AD in univariate analysis and included age, sex, duration of diabetes, history of hypertension, and GFR; models 2–7 included the variables of the core model and, in addition, MetS status (model 2), the sum of the components of the MetS (model 3), high waist circumference (model 4), low HDL cholesterol (model 5), high triglycerides (model 6), and high blood pressure (model 7). All independent variables in the multivariate analyses models were tested for multicolinearity. P < 0.05 (two-tailed) was considered statistically significant.

As expected and in agreement with previous reports, the present study showed that MetS is common (64.8%) among subjects with T2DM [17]. Even higher rates (75–78%) of MetS in diabetic subjects have been described previously [18, 19]. Published data on the prevalence of MetS among subjects with diabetes in Greece are limited [20].

One recent large-scale study demonstrated that although MetS was associated with marginally higher carotid artery stiffness in patients with clinical manifestations of arterial disease, after multivariate adjustment, the relationship between carotid stiffness and MetS waned, while diabetes status emerged as independent predictor of carotid artery stiffness [21]. Another study in Indigenous Australians showed that diabetes status and some of the components of the MetS were associated with carotid artery IMT in this high-risk population for cardiovascular disease mortality [22]. In addition, recent data demonstrated that although intensive diabetes control was associated with higher prevalence of MetS in subjects with type 1 diabetes, glycemic control, but not MetS status, predicted the development of micro-and macro-vascular in this group of patients [23]. Moreover, other data showed that cardiovascular or all-cause mortality was not different in subjects with T2DM stratified according to MetS status [18], and that MetS was not associated independently with coronary artery disease, while diabetes status did [24]. Thus, our data corroborate these reports showing that among patients with T2DM, MetS per se is not associated with macrovascular complications.

Multivariate analysis demonstrated an independent relationship between AD and the known duration of diabetes. A large body of evidence exists suggesting that diabetes affects the functional properties of the aorta [25, 26], overcoming the potential effect of other cardiovascular risk factors. Reduction of AD occurs early in patients with T2DM, and one study showed that AD is low even in the nondiabetic first degree relatives of patients with T2DM [25]. Chronic exposure of the aorta to the effects of hyperglycaemia explains the detrimental effect of diabetes on reduction of the elastic properties [25]. Non-enzymatic glycation of matrix proteins caused by chronic hyperglycaemia results in structural and functional changes of the aorta [26, 27]. Moreover, in vitro glycation of collagen and elastin, and accumulation of advanced glycation end-products have been shown to increase arterial stiffness [26]. Furthermore, the present study has shown that diabetic women had stiffer aortas than diabetic men. This finding is in accordance with previous reports showing that diabetic women with either type 1 [28] or type 2 diabetes [29, 30] have stiffer arteries in comparison with men with diabetes.

Besides duration of diabetes, history of hypertension was an important determinant of AD. It is known that from the traditional cardiovascular risk factors, hypertension is much more common in subjects with T2DM. The UK Prospective Diabetes Study demonstrated the importance of the strict blood pressure control in the reduction of microvascular and macrovascular complications in subjects with T2DM [31]. The Multiple Risk Factor Intervention Trial (MRFIT) showed that diabetic patients with increased blood pressure had a two-fold higher annual death rate in comparison with normotensive subjects [1]. Other studies demonstrated that blood pressure was the strongest component of the MetS associated with reduction of the arterial elasticity [10, 32]. Furthermore, in agreement with previous reports we showed that ageing is strongly associated with reduction of the elastic properties of the aorta, irrespective of the presence of diabetes [33, 34].

It is noteworthy that patients with T2DM and MetS had more often microalbuminuria in comparison with those without MetS. This finding is not surprising, given that microalbuminuria was included in the diagnostic criteria for the MetS proposed by the World Health Organization [35]. However, microalbuminuria was not associated with AD in subjects with diabetes in either univariate or multivariate analysis, suggesting that, contrary to the non-diabetic population [32], diabetes may overcome the effect of microalbuminuria on the elastic properties of the arteries. Interestingly, despite the recommendations for low LDL cholesterol and blood pressure levels in the patients with diabetes, only a small percentage of them have been treated with lipid lowering medications and only 12.8% of those had LDL cholesterol levels < 2.6 mmol/l and 47.7% had systolic/diastolic blood pressure levels at the recommended target < 130/80 mm Hg.