Angiographic derived endothelial shear stress: a new predictor of atherosclerotic disease progression.

Bourantas, Christos V; Ramasamy, Anantharaman; Karagiannis, Alexios; Sakellarios, Antonis; Zanchin, Thomas; Yamaji, Kyohei; Ueki, Yasushi; Shen, Xiaohui; Fotiadis, Dimitrios I; Michalis, Lampros K; Mathur, Anthony; Serruys, Patrick W; Garcia-Garcia, Hector M; Koskinas, Konstantinos; Torii, Ryo; Windecker, Stephan; Räber, Lorenz (2019). Angiographic derived endothelial shear stress: a new predictor of atherosclerotic disease progression. European heart journal - cardiovascular imaging, 20(3), pp. 314-322. Oxford University Press 10.1093/ehjci/jey091

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Aims To examine the efficacy of angiography derived endothelial shear stress (ESS) in predicting atherosclerotic disease progression. Methods and results Thirty-five patients admitted with ST-elevation myocardial infarction that had three-vessel intravascular ultrasound (IVUS) immediately after revascularization and at 13 months follow-up were included. Three dimensional (3D) reconstruction of the non-culprit vessels were performed using (i) quantitative coronary angiography (QCA) and (ii) methodology involving fusion of IVUS and biplane angiography. In both models, blood flow simulation was performed and the minimum predominant ESS was estimated in 3 mm segments. Baseline plaque characteristics and ESS were used to identify predictors of atherosclerotic disease progression defied as plaque area increase and lumen reduction at follow-up. Fifty-four vessels were included in the final analysis. A moderate correlation was noted between ESS estimated in the 3D QCA and the IVUS-derived models (r = 0.588, P < 0.001); 3D QCA accurately identified segments exposed to low (<1 Pa) ESS in the IVUS-based reconstructions (AUC: 0.793, P < 0.001). Low 3D QCA-derived ESS (<1.75 Pa) was associated with an increase in plaque area, burden, and necrotic core at follow-up. In multivariate analysis, low ESS estimated either in 3D QCA [odds ratio (OR): 2.07, 95% confidence interval (CI): 1.17-3.67; P = 0.012) or in IVUS (<1 Pa; OR: 2.23, 95% CI: 1.23-4.03; P = 0.008) models, and plaque burden were independent predictors of atherosclerotic disease progression; 3D QCA and IVUS-derived models had a similar accuracy in predicting disease progression (AUC: 0.826 vs. 0.827, P = 0.907). Conclusions 3D QCA-derived ESS can predict disease progression. Further research is required to examine its value in detecting vulnerable plaques.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine
04 Faculty of Medicine > Pre-clinic Human Medicine > CTU Bern

UniBE Contributor:

Karagiannis Voules, Alexios; Yamaji, Kyohei; Koskinas, Konstantinos; Windecker, Stephan and Räber, Lorenz

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

2047-2412

Publisher:

Oxford University Press

Language:

English

Submitter:

Tanya Karrer

Date Deposited:

14 Aug 2018 17:01

Last Modified:

23 Oct 2019 12:05

Publisher DOI:

10.1093/ehjci/jey091

PubMed ID:

30020435

BORIS DOI:

10.7892/boris.118976

URI:

https://boris.unibe.ch/id/eprint/118976

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