Abstract 19088: Independent Association of Lipoprotein Sub-fractions by Ion Mobility Analysis with Anthropometric and Ectopic Visceral fat on Cardiac CT Examinations in a High risk Population: The Baptist Employee Healthy Heart Study (BEHHS)

Abstract

Introduction: Visceral adiposity is associated with increased CVD risk. Ectopic fat deposition is linked with lipotoxicity, metabolic derangement, insulin resistance, and atherosclerosis. The lipoprotein(LP) subclasses are established risk markers for CVD mortality. We evaluated for the association of ectopic visceral fat measures [pericardial (PCF), Epicardial (EPC)], traditional adiposity measures [waist: hip ratio (WHR), Body Mass index (BMI), waist circumference (WC)] and the LP subclasses. Methods: The Baptist Employee Healthy Heart Study (BEHHS) an ongoing study examines the effect of web based interventions on reducing CVD risk in subjects with metabolic syndrome and type II diabetes mellitus. We measured PCF and EPC adipose tissue volumes from the 16-slice multi-detector computed tomography (MDCT) (GE AWW 3D Workstation). Cardio IQ™ Ion Mobility LP fractionation was utilized for advanced lipid subclass measurement resulting in direct quantification of particles in each LP sub-class fraction. Results: The population had 182 participants, 74% women, 49% Hispanic, mean age of 52 ± 9 years. The median PCF volume was 130 (97-166) cc, EPC volume 112(78-265) cc, mean WC 105±15 cm, BMI 34±6 kg/m2 ,WHR was 0.94 (SD 0.09). There was no correlation between BMI, and WC with any of the LP. WHR was significantly correlated with LDL particle size LDL large (A), , IDL small, and HDL large, see table 1. These associations were not significant in multivariate regression analysis. On the other hand PCF and ECP were significantly correlated with a wide spectrum of the LPs. After an adjusted robust regression, they remained significantly associated with IDL(large), LDL(total), VLDL(small), VLDL(medium) and VLDL(large). Conclusion: This demonstrates association between the ectopic adiposity and LP subclasses compared to traditional obesity measures. Further follow-up is needed to assess the interplay of lifestyle intervention in improving cardiometabolic profile