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Nonculprit Lesion Plaque Morphology in Patients With ST-Segment–Elevation Myocardial Infarction: Results From the COMPLETE Trial Optical Coherence Tomography Substudys Differential prognostic effect of intravascular ultrasound use according to implanted stent length Differential Impact of Heart Failure With Reduced Ejection Fraction on Men and Women Association of Coronary Artery Calcium With Long-term, Cause-Specific Mortality Among Young Adults Transcatheter Aortic Valve Replacement: Role of Multimodality Imaging in Common and Complex Clinical Scenarios Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data Individualized antiplatelet therapy after drug-eluting stent deployment: Implication of clinical trials of different durations of dual antiplatelet therapy Comparison of Outcomes of Percutaneous Coronary Intervention on Native Coronary Arteries Versus on Saphenous Venous Aorta Coronary Conduits in Patients With Low Left Ventricular Ejection Fraction and Impella Device Implantation Achieved or Attempted (from the PROTECT II Randomized Trial and the cVAD Registry) Percutaneous Coronary Intervention Using Drug-Eluting Stents Versus Coronary Artery Bypass Grafting for Unprotected Left Main Coronary Artery Stenosis: A Meta-Analysis of Randomized Trials Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis

Clinical Trial2012 Jul 10;126(2):172-81.

JOURNAL:Circulation. Article Link

Prediction of progression of coronary artery disease and clinical outcomes using vascular profiling of endothelial shear stress and arterial plaque characteristics: the PREDICTION Study

Stone PH, Saito S, PREDICTION Investigators. Keywords: atherosclerosis; endothelium; natural history; shear stress

ABSTRACT


BACKGROUNDAtherosclerotic plaques progress in a highly individual manner. The purposes of the Prediction of Progression of Coronary Artery Disease and Clinical Outcome Using Vascular Profiling of Shear Stress and Wall Morphology (PREDICTION) Study were to determine the role of local hemodynamic and vascular characteristics in coronary plaque progression and to relate plaque changes to clinical events.


METHODS AND RESULTS - Vascular profiling, using coronary angiography and intravascular ultrasound, was used to reconstruct each artery and calculate endothelial shear stress and plaque/remodeling characteristics in vivo. Three-vessel vascular profiling (2.7 arteries per patient) was performed at baseline in 506 patients with an acute coronary syndrome treated with a percutaneous coronary intervention and in a subset of 374 (74%) consecutive patients 6 to 10 months later to assess plaque natural history. Each reconstructed artery was divided into sequential 3-mm segments for serial analysis. One-year clinical follow-up was completed in 99.2%. Symptomatic clinical events were infrequent: only 1 (0.2%) cardiac death; 4 (0.8%) patients with new acute coronary syndrome in nonstented segments; and 15 (3.0%) patients hospitalized for stable angina. Increase in plaque area (primary end point) was predicted by baseline large plaque burden; decrease in lumen area (secondary end point) was independently predicted by baseline large plaque burden and low endothelial shear stress. Large plaque size and low endothelial shear stress independently predicted the exploratory end points of increased plaque burden and worsening of clinically relevant luminal obstructions treated with a percutaneous coronary intervention at follow-up. The combination of independent baseline predictors had a 41% positive and 92% negative predictive value to predict progression of an obstruction treated with a percutaneous coronary intervention.

CONCLUSIONS - Large plaque burden and low local endothelial shear stress provide independent and additive prediction to identify plaques that develop progressive enlargement and lumen narrowing.

CLINICAL TRIAL REGISTRATION - URL: http:www.//clinicaltrials.gov. Unique Identifier: NCT01316159.