GLOBAL PLAQUE BURDEN BY CAROTID AND FEMORAL 3D VASCULAR ULTRASOUND: THE PESA (PROGRESSION AND EARLY DETECTION OF SUBCLINICAL ATHEROSCLEROSIS) STUDY

GLOBAL PLAQUE BURDEN BY CAROTID AND FEMORAL 3D VASCULAR ULTRASOUND: THE PESA (PROGRESSION AND EARLY DETECTION OF SUBCLINICAL ATHEROSCLEROSIS) STUDY

2006 JACC March 21, 2017 Volume 69, Issue 11 Vascular Medicine GLOBAL PLAQUE BURDEN BY CAROTID AND FEMORAL 3D VASCULAR ULTRASOUND: THE PESA (PROGRESS...

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2006 JACC March 21, 2017 Volume 69, Issue 11

Vascular Medicine GLOBAL PLAQUE BURDEN BY CAROTID AND FEMORAL 3D VASCULAR ULTRASOUND: THE PESA (PROGRESSION AND EARLY DETECTION OF SUBCLINICAL ATHEROSCLEROSIS) STUDY Moderated Poster Contributions Vascular Medicine Moderated Poster Theater, Poster Hall, Hall C Friday, March 17, 2017, 10:15 a.m.-10:25 a.m. Session Title: Highlights in Vascular Medicine Research Abstract Category: 40. Vascular Medicine: Non Coronary Arterial Disease Presentation Number: 1139M-05 Authors: Beatriz Lopez-Melgar, Leticia Fernandez-Friera, Belen Oliva, Jose Manuel Garcia-Ruiz, Vicente Martinez de Vega, Agustin Mocoroa, Borja Ibañez, Javier Sanz, Antonio Fernandez-Ortiz, Valentin Fuster, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain

Background: Detection of subclinical atherosclerosis improves cardiovascular (CV) risk stratification. We explored the feasibility of global plaque burden (GPB) quantification by carotid and femoral 3D vascular ultrasound (3DVUS) and its potential additive value over detection of plaque presence alone.

Methods: 3DVUS was obtained in 4,151 PESA participants (age 46±4, 37% female). GPB was defined as the sum of all plaque volumes in both carotid and femoral territories. CV risk was assessed with the ACC/AHA 10-year atherosclerotic CV disease (ASCVD) risk algorithm. Nonparametric test for trend across ordered groups was used to explore the association between GPB and ASCVD risk categories, stratifying by plaque presence expressed as the number of territories affected. A p for trend <0.05 was considered significant. Results: 3DVUS was obtained in 3,971 (96%) participants, with plaque detected in 46%. Presence of plaque in 1, 2, 3 or 4 territories was noted in 23%, 14%, 6% and 3% participants, respectively. Median plaque volume was 53 (IQR 22-142) mm3. GPB in relation with plaque distribution and risk categories is shown in the Figure. Despite equal number of territories affected, GPB increased with ASCVD risk categories. Conclusions: Atherosclerotic plaque volume has stronger relationship with CV risk categories than detection of plaque presence alone. Quantification of carotid and femoral burden by 3DVUS is feasible in large populations and provides complementary information in CV risk stratification.