title: The association of brachial-ankle pulse wave velocity with coronary artery disease evaluated by coronary computed tomography angiography.
abstract: The aim of this study was to investigate whether brachial-ankle pulse wave velocity (baPWV) is associated with the severity of coronary artery disease (CAD) assessed by coronary computed tomography angiography (CCTA), and to evaluate baPWV as a predictor of obstructive CAD on CCTA. A total of 470 patients who underwent both baPWV and CCTA were included. We evaluated stenosis degree and plaque characteristics on CCTA. To estimate the severity of CAD, we calculated the number of segment with plaque (segment involvement score; SIS), stenosis degree-weighted plaque score (segment stenosis score; SSS), and coronary artery calcium score (CACS). The mean baPWV was 1,485 ± 315 cm/s (range, 935-3,175 cm/s). Non-obstructive (stenosis < 50%) and obstructive (stenosis ≥ 50%) CAD was found in 129 patients (27.4%) and 144 (30.6%), respectively. baPWV in patients with obstructive CAD was higher than that of patients with non-obstructive (1,680 ± 396 cm/s versus 1,477 ± 244 cm/s, P < 0.001) or no CAD (1,680 ± 396 cm/s versus ± 196 1,389 cm/s, P < 0.001). baPWV showed significant correlation with SSS (r = 0.429, P < 0.001), SIS (r = 0.395, P < 0.001), CACS (r 0.346, P < 0.001), and the number of segment with non-calcified plaque (r 0.092, P = 0.047), mixed plaque (r = 0.267, P < 0.001), and calcified plaque (r = 0.348, P < 0.001), respectively. The optimal baPWV cut-off value for the detection of obstructive CAD was 1,547 cm/s. baPWV ≥ 1,547 cm/s was independent predictor for the obstructive CAD. In conclusion, baPWV is well correlated with the severity of CAD evaluated by CCTA. baPWV has the potential to predict severity of coronary artery atherosclerosis.
authors: Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Hack-Lyoung
authors: HL
authors: Kim
authors: Department of Radiology, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Kwang Nam
authors: KN
authors: Jin
authors: Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Jae-Bin
authors: JB
authors: Seo
authors: Department of Radiology, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Young Ho
authors: YH
authors: Choi
authors: Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Woo-Young
authors: WY
authors: Chung
authors: Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Sang-Hyun
authors: SH
authors: Kim
authors: Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Myung-A
authors: MA
authors: Kim
authors: Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
authors: Joo-Hee
authors: JH
authors: Zo
mesh_terms: D000368:Aged; D055109:Ankle Brachial Index; D001783:Blood Flow Velocity; D002114:Calcinosis; D003251:Constriction, Pathologic; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000503:physiopathology*; D003331:Coronary Vessels / Q000473:pathology; D004562:Electrocardiography; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D011673:Pulsatile Flow; D063177:Pulse Wave Analysis; D012372:ROC Curve; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed