Pericardial fat volume ,aortic root calcification and coronary calcification in hypertensive patients with suspected coronary artery disease

Pericardial fat volume ,aortic root calcification and coronary calcification in hypertensive patients with suspected coronary artery disease

e170 Abstracts / Atherosclerosis 241 (2015) e149ee229 obesity, RA patients with NWO did not present statistically significant differences between the...

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e170

Abstracts / Atherosclerosis 241 (2015) e149ee229

obesity, RA patients with NWO did not present statistically significant differences between the medians of the following variables (p > 0.05, Kruskal-Wallis test): SCORE, age, menopause duration, low and high density lipoproteins, triglycerides, total cholesterol, glycemia, C reactive protein, erythrocyte sedimentation rate, height, waist-to-hip ratio. Similarly, among NWO and obese RA patients, there were no statistically significant differences between the frequencies of the following variables/diagnoses (p > 0.5; c2 test): menopause, smoking, hypertension, dyslipidemia. Conclusions: NWO has a higher prevalence among RA females compared to non-RA females. The cardiovascular profile of RA females with NWO is similar to that of BMI-defined obese RA females. Acknowledgment: European Social Fund, contract number POSDRU/159/ 1.5/S/137390.

EAS-0896. ABDOMINAL FAT DEPOSITS IN NON-OBESE SUBJECTS: ULTRASOUND EVALUATION AND RELATIONS WITH METABOLIC PROFILE A. Martellini*, A. Berni, M. Becatti, C. Fiorillo, L. Poggesi, M. Boddi. Medicina sperimentale e clinica, University of Florence, Florence, Italy

* Corresponding author. Aim: The relationships between abdominal fat tissues and metabolic components have not been defined, especially in the earliest stages and in non-obese patients. The aims of this study are to compare BMI, waist circumference and ultrasonographic subcutaneous fat, visceral fat and liver steatosis, and to assess their relationships with metabolic abnormalities, systemic inflammation and oxidative stress in healthy subjects. Methods: The analysis focused on the non-obese group. The ultrasound measurement of subcutaneous fat (cutis-linea alba thickness), visceral fat (linea alba-posterior wall of abdominal aorta) and the presence of liver steatosis (fatty liver indicator, FLI) were performed. Low-grade inflammation was determined by hs-C-reactive protein serum levels. Intracellular production of ROS and lipid peroxidation of blood cells were obtained by flow cytofluorimetric analysis. Results: Sixty patients (age 43±14 years, 26M/34F) were enrolled. Nonobeses (n¼38) differed from obeses (n¼22) for all the abdominal adiposity indices and metabolic abnormalities. Visceral fat was associated with low-grade inflammation (R¼0.61, P<0.001) and insulin resistance (R¼0.55, P¼0.003), even after adjustment for BMI and waist circumference. Subcutaneous fat correlated with blood cells oxidative levels (R¼0.47 to 0.59, P<0.001), even after adjustment for BMI and waist circumference. Conclusions: Ultrasound evaluation of abdominal fat deposits may select non-obese patients, but metabolically obese. Ultrasound evaluation of abdominal adipose tissue may therefore be useful for the definition of the metabolic profile and cardiovascular risk in healthy nonobese patients.

Aim: Metabolic syndrome (MS) encompasses multiple risk factors that increase the risk of developing atherosclerosis. Chronic indolent inflammation and endothelial activation are pivotal in the pathogenesis of atherosclerosis leading to atherosclerosis-related complications. The aim of this study is to examine inflammation and endothelial activation biomarkers in metabolic syndrome (MS) subjects with different glycemic status, and in centrally obese subjects without MS, compared to lean normal controls.

Methods: A cross-sectional study involving 501 subjects categorized into MS (ALLMS), central obesity without MS (COBXMS), and lean normal controls (NC). MS subjects were subdivided according to glycemic status: diabetes mellitus (MSDM), impaired fasting glucose (MSIFG), and normoglycemia (MSNG). Biomarkers of inflammation [high sensitivity C-reactive protein (hsCRP) and interleukin-6 (IL-6)] and endothelial activation [soluble intercellular adhesion molecule-1 (sICAM-1), soluble vascular cell adhesion molecule-1 (sVCAM-1) and soluble E-selectin (E-selectin)] were measured and compared between the groups. Results: ALLMS had significant elevation in all biomarkers compared to NC and greater Log sVCAM-1 and Log E-selectin than COBXMS. MSDM, MSIFG and MSNG showed higher concentrations of all biomarkers compared to NC. The MS subgroups also showed higher concentrations in all biomarkers except Log hsCRP and Log sICAM-1 when compared to COBXMS. All biomarkers except Log sVCAM-1 were significantly greater in COBXMS compared to NC. Concentration of all biomarkers was not significantly different across MS subgroups. Conclusions: MS subjects irrespective of glycemic status and centrally obese subjects without MS have enhanced inflammation and endothelial activation compared to normal controls, which may partially explain their increased coronary risk.

EAS-0959. PERICARDIAL FAT VOLUME ,AORTIC ROOT CALCIFICATION AND CORONARY CALCIFICATION IN HYPERTENSIVE PATIENTS WITH SUSPECTED CORONARY ARTERY DISEASE H. Al-Nafakh 1, *, H. Nafakhi 2, A. Almosawi 1. 1 Radiology/Medicine College, Kufa University, Kufa, Iraq; 2 Internal Medicine /Medicine College, Kufa University, Kufa, Iraq

* Corresponding author.

EAS-0914. ENHANCED INFLAMMATION AND ENDOTHELIAL ACTIVATION IN CENTRAL OBESITY AND METABOLIC SYNDROME IRRESPECTIVE OF GLYCEMIC STATUS N. Mohd Nasir 1, H. Saimin 1, T. Rahman 1, S. Abdul Razak 2, M. Md Yasin 2, Z. Ismail 3, H. Nawawi 1, *. 1 Centre for Pathology Diagnostic and Research Laboratories, Universiti Teknologi MARA, Sungai Buloh, Malaysia; 2 Primary Care Discipline, Universiti Teknologi MARA, Sungai Buloh, Malaysia; 3 Population Health and Preventive Medicine Discipline, Universiti Teknologi MARA, Sungai Buloh, Malaysia

* Corresponding author.

Figure 1. A significant correlation was observed between PFV and CACĂ

Abstracts / Atherosclerosis 241 (2015) e149ee229

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in a cohort of Irish children recruited antenatally and to examine the effects of maternal diet both during pregnancy and 5 years postpartum.

Figure 2. A significant correlation was observed between PFV and male sexĂ

Aim: Our objective was to investigate the correlations between pericardial fat volume(PFV),coronary artery calcification(CAC)and aortic root calcification(ARC)in hypertensive patients with suspected coronary artery disease(CAD). Methods: Between January and December 2014, we recruited 130 consecutive patients who had intermediate pretest probability of CAD, based on age, sex, and cardiac symptoms who underwent 64-slice MDCT angiography for assessment of CAD at our institution. Of 130 patients, 51 with a history of hypertension or use of antihypertension medications were found to be eligible and were enrolled in the study. Results: Fifty one hypertensive patients (male¼17(33%),female¼34(67%),age 56±10 years) were enrolled in the study.PFV mean and median were 108±83 cm3and 84 cm3 respectively. ARC and CAC prevalence(calcium score above zero) were 37% and 39% respectively.PFV were significantly correlated with CAC and male gender (r¼0.412,P¼0.003 and r¼0.321 ,P¼ 0.02 respectively) as in figure 1 and 2. These correlations persisted even after adjustment to ARC, cardiac risk factors and age (CI 0.075e 0.396, P¼0.005 and CI 2.4 e 91,P¼0.03 respectively)while there was no significant correlation between PFV and ARC.ARC was significantly correlated with male gender (r¼0.356,P¼0.01) and this correlation persisted even after adjustment to PFV, cardiac risk factors, age and CAC (CI 1.7 e7.6,P¼0.003) while no significant correlation was observed between ARC and CAC. Conclusions: PFV and ARC were more prevalent in male hypertensive patients with CAD compared to female patients. The results highlight the role of PFV as an imaging biomarker of coronary atherosclerosis in male hypertensive patients with suspected CAD.

Metabolic syndrome EAS-0180. METABOLIC SYNDROME RISK IN IRISH CHILDREN IS ASSOCIATED WITH MATERNAL DIET: PROSPECTIVE FINDINGS FROM THE LIFEWAYS CROSSGENERATION COHORT STUDY 2001e2014 H. Khalil*, C. Murrin, K. Viljoen, R. Segurado, R. Somerville, J. O'Brien, C.C. Cecily. School of Public Health Physiotherapy and Population Science, University College Dublin (UCD) Ireland, Dublin, Ireland

Methods: A sub-group of 76 Dublin-based children aged 9-10 years provided blood samples and waist circumference measures. cMyS was derived using principle components analysis with the following variables; HDLcholesterol, triglycerides, and glucose levels and waist circumference. Mother and children's dietary data were obtained from food-frequency questionnaires. The relationship between cMyS and dietary intake was examined with Pearson's correlation coefficient. Results: Two principal components, PC1 and PC2 were identified with eigenvalues >1.0 and explained variances of 40% and 27% respectively. cMyS in children was significantly correlated with maternal pregnancy intakes of kilocalories (r¼0.23, p¼ 0.05), total fat (r¼ 0.24, p<0.05) and carbohydrates (r¼0.23, p<0.05). After energy adjustment only protein intake was inversely correlated with cMyS (r¼-0.26, p<0.05). At year-5 follow-up, mother's energy-adjusted fat (r¼0.21, p¼0.08) and protein (r¼0.29, p¼0.09) intakes showed associations with cMyS, which did not reach statistical significance. No associations were found with children's own intake. Conclusion: Profiles of HDL-C, triglycerides, and waist circumference seem to cluster in children. Maternal dietary intake is associated with metabolic profiles in children; this association is strongest during pregnancy but appears to diminish over time.

EAS-0068. THE METABOLIC SYNDROME CHARACTERISTICS EXTENDED BY USING A MACHINE LEARNING APPROACH cov L. Majnaric 1, *, F. Babic 2, A. Luka a 2, A. Holzinger 3. 1 Family Medicine, Osijek University School of Medicine, Osijek, Croatia; 2 Department of Cybernetics and Artificial Intelligence, Technical University of Kosice Faculty of Electrical Engineering and Informatics, Kosice, Slovakia; 3 Institute for Medical Informatics Statistics and Documentation Research Unit HCI, Medical University Graz, Graz, Austria

* Corresponding author. Aim: The work demonstrates how by using data-mining methods it is possible to extend a view beyond the conventional definition of the Metabolic syndrome, adding values to clinical reasoning. Methods: Data-mining decision trees approaches were applied on a large dataset (No of variables 61) indicating different comorbid disorders in older patients (No 93, age 50-89 y). A comprised set of variables and their values was used to determine the diagnosis of Metabolic Syndrome, as defined according to the IDF (International Diabetes Federation). A total of 60 patients in the analyzed dataset had Metabolic Syndrome and 33 did not. Results: Some interesting decision rules and variables were extracted, distinctly for men and women. As the greatest peculiarity, we found the variable folic acid to be a new biomarker of metabolic syndrome, particularly suitable for screening in male general population. For women, the cut-off value for TSH (thyroid stimulating hormone) below 2.69 mU/L, indicating hypothyroidism, means that they are burdened with metabolic syndrome. Conclusions: Obtained interesting rules and suroggate variables can be used to further test their practical usefulness, or as an introduction for planning population-based research.

* Corresponding author.

EAS-0080. BIOMARKERS OF ABNORMAL VISCERAL TISSUE METABOLISM IN PATIENTS WITH CORONARY ARTERY DISEASE INCLUDING PATIENTS WITH TYPE 2 DIABETES MELLITUS

Aim: The metabolic syndrome (MetS) is the phenotypical clustering of anthropometric and biochemical risk factors for cardiovascular disease. There is a lack of evidence on early life factors associated with paediatric MetS. This analysis aims to outline a continuous risk score for MetS (cMyS)

N. Gavrilova 1, *, V. Metelskaya 2, N. Gumanova 2, O. Alexandrovich 2, S. Boytsov 1. 1 Cardiology, National Research Center for Preventive Medicine, Moscow, Russia; 2 Biochemistry, National Research Center for Preventive Medicine, Moscow, Russia