Aortic stiffness is an independent determinant of left ventricular diastolic dysfunction in metabolic syndrome patients.

BACKGROUND: We aimed to evaluate the relationship between arterial stiffness and left ventricular diastolic dysfunction (LVDD) in metabolic syndrome (MetS) patients. METHODS: A cross-sectional study was conducted in 1208 subjects without overt atherosclerotic disease. According to the cardiac ultrasound, patients were divided into two groups: with LVDD (LVDD+, n = 1119) and without LVDD (LVDD-, n = 89). Arterial stiffness parameters [carotid-femoral pulse wave velocity (cfPWV) and aortic augmentation index (AIxHR75)] were assessed by applanation tonometry. RESULTS: In comparison to LVDD-, LVDD + patients were older (55 ± 6 vs 51 ± 6 years, p < 0.001), and had higher cfPWV (8.8 ± 1.6 vs 7.9 ± 1.34 m/s, p < 0.001), AIxHR75 (24.7 ± 10.2 vs 19.7 ± 10, p < 0.001), mean arterial pressure (108 ± 12 vs 101 ± 10 mmHg, p < 0.001), heart rate (66 ± 10 vs 61 ± 9 bpm, p < 0.001), left ventricular mass index (LVMI) (109 ± 24 vs 97 ± 22, p < 0.001) and body mass index (BMI) (32 ± 5 vs 30 ± 4 kg/m(2), p < 0.001). We found significant correlations between cfPWV, AIxHR75 and the ratio of early to late transmitral velocities (E/A) (rcfPWV = -0.19, rAIxHR75 = -0.15, p < 0.001), early diastolic mitral annular velocity (E') (rcfPWV = -0.25, rAIxHR75 = -0.18, p < 0.05) and E/E' ratio (rcfPWV = 0.17, rAIxHR75 = 0.14, p < 0.001). Univariate analysis revealed that the presence of LVDD is associated with age [odds ratio (OR) 1.84], BMI (OR 1.63), waist circumference (WC) (OR 1.52), cfPWV (OR 2.18), AIxHR75 (OR 1.55), mean aortic blood pressure (OR 1.94), aortic pulse pressure (OR 1.78), mean common carotid artery intima-media thickness (OR 1.16), heart rate (OR 1.4) and LVMI (OR 1.79) (all p < 0.05). After performing stepwise multiple logistic regression analysis, only cfPWV and BMI or WC remained significant predictors of the presence of LVDD (p < 0.05). CONCLUSION: cfPWV is a significant determinant of LVDD in subjects with MetS.

Association of cardio-ankle vascular index with cardiovascular risk factors and cardiovascular events in metabolic syndrome patients.

OBJECTIVES: We aimed to investigate the association between arterial stiffness assessed as cardio-ankle vascular index (CAVI) and cardiovascular (CV) risk factors and CV events in the middle-aged metabolic syndrome (MS) patients. MATERIALS AND METHODS: A follow-up study was carried out in 2106 middle-aged (53.83±6.17 years old, 62% women) MS subjects without overt atherosclerotic disease. Patients were initially recruited in 2009-2011 as participants of the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program and followed up for 3.8±1.7 years for CV events. Thorough cardiometabolic risk assessment was carried out at inclusion. RESULTS: Subjects with higher CAVI had worse lipid and glucose metabolism profile: elevated total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), decreased high-density lipoprotein cholesterol (HDL-C), higher fasting and oral glucose tolerance test (OGTT) glucose levels (all P<0.001), and lower fasting insulin (P=0.021). Greater age (P<0.001), heart rate (P=0.016), and mean arterial pressure (P<0.001) were also associated with higher CAVI. Over the follow-up period, 93 (4.4%) patients developed a cardiovascular event: 55 (2.6%) patients had myocardial infarction and 38 (1.8%) suffered a cerebrovascular event. Fatal CV events comprised 6.5% (n=6) of all CV events. CAVI was statistically significantly associated with occurrence of myocardial infarction (P=0.027) and total cardiovascular events (P=0.045), but not cerebrovascular events (P=0.65). However, this association was dependent on age and gender. CONCLUSIONS: In the middle-aged MS patients, higher CAVI was associated with altered lipid and glucose metabolism, older age, greater heart rate and mean arterial pressure, and worse cardiovascular outcome.

Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome.

OBJECTIVE: To investigate the predictive value of different biomarkers for the incidence of type 2 diabetes mellitus (T2DM) in subjects with metabolic syndrome. METHODS: A prospective study of 525 non-diabetic, middle-aged Lithuanian men and women with metabolic syndrome but without overt atherosclerotic diseases during a follow-up period of two to four years. We used logistic regression to develop predictive models for incident cases and to investigate the association between various markers and the onset of T2DM. RESULTS: Fasting plasma glucose (FPG), body mass index (BMI), and glycosylated haemoglobin can be used to predict diabetes onset with a high level of accuracy and each was shown to have a cumulative predictive value. The estimated area under the receiver-operating characteristic curve (AUC) for this combination was 0.92. The oral glucose tolerance test (OGTT) did not show cumulative predictive value. Additionally, progression to diabetes was associated with high values of aortic pulse-wave velocity (aPWV). CONCLUSION: T2DM onset in middle-aged metabolic syndrome subjects can be predicted with remarkable accuracy using the combination of FPG, BMI, and HbA1c, and is related to elevated aPWV measurements.