INTRODUCTION: Atherosclerotic coronary plaques represent the main substrate for coronary artery disease (CAD), and changes in plaque volume, investigated with intravascular ultrasound (IVUS), have been used as surrogate end-points in several clinical trials. However, no conclusive data are available to support the exploitation of IVUS-based plaque changes as a measure of clinically meaningful treatment's effect. METHODS: Biomed Central, CENTRAL, and Medline/PubMed were searched for randomized clinical trials investigating IVUS variations of plaque and reporting clinical events. End-points of interest were major adverse cardiovascular events (MACE, a composite of death, myocardial infarction [MI] or revascularization), and the rates of MI or revascularization combined. Meta-regression analysis was performed to appraise the association between plaque changes and clinical events during follow-up. RESULTS: Eleven studies (2 focusing on patients with ACS) with 7864 patients were included. After a median follow-up of 18 months, percentage of atheroma volume (PAV) was 0.50 (95% confidence interval -0.25; 1.00), with a 15.0% (95% CI 9.6%; 22.5%) rate of MACE and a 14.1% (95% CI 10.2%; 19.5%) rate of MI or revascularization. Rates of plaque volume regression were significantly associated with the incidence of MI or revascularization (Beta = 6.3; p = 0.006) but not with MACE (Beta = 0.42; p = 0.208). CONCLUSION: Regression of atherosclerotic coronary plaque volume may represent a surrogate for myocardial infarction and repeat revascularization but not for MACE. These results derive largely from stable patients, and should consequently be applied only to this population.
INTRODUCTION:Atherosclerotic coronary plaques represent the main substrate for coronary artery disease (CAD), and changes in plaque volume, investigated with intravascular ultrasound (IVUS), have been used as surrogate end-points in several clinical trials. However, no conclusive data are available to support the exploitation of IVUS-based plaque changes as a measure of clinically meaningful treatment's effect. METHODS: Biomed Central, CENTRAL, and Medline/PubMed were searched for randomized clinical trials investigating IVUS variations of plaque and reporting clinical events. End-points of interest were major adverse cardiovascular events (MACE, a composite of death, myocardial infarction [MI] or revascularization), and the rates of MI or revascularization combined. Meta-regression analysis was performed to appraise the association between plaque changes and clinical events during follow-up. RESULTS: Eleven studies (2 focusing on patients with ACS) with 7864 patients were included. After a median follow-up of 18 months, percentage of atheroma volume (PAV) was 0.50 (95% confidence interval -0.25; 1.00), with a 15.0% (95% CI 9.6%; 22.5%) rate of MACE and a 14.1% (95% CI 10.2%; 19.5%) rate of MI or revascularization. Rates of plaque volume regression were significantly associated with the incidence of MI or revascularization (Beta = 6.3; p = 0.006) but not with MACE (Beta = 0.42; p = 0.208). CONCLUSION: Regression of atherosclerotic coronary plaque volume may represent a surrogate for myocardial infarction and repeat revascularization but not for MACE. These results derive largely from stable patients, and should consequently be applied only to this population.
Authors: Julia Collin; Mario Gössl; Yoshiki Matsuo; Rebecca R Cilluffo; Andreas J Flammer; Darrell Loeffler; Ryan J Lennon; Robert D Simari; Daniel B Spoon; Raimund Erbel; Lilach O Lerman; Sundeep Khosla; Amir Lerman Journal: Int J Cardiol Date: 2014-11-26 Impact factor: 4.164
Authors: Flavia Ballocca; Fabrizio D'Ascenzo; Claudio Moretti; Roberto Diletti; Carlo Budano; Alberto Palazzuoli; Matthew J Reed; Tullio Palmerini; Dariusz Dudek; Alfredo Galassi; Pierluigi Omedè; Nicolas M Mieghem; David Ferenbach; Marco Pavani; Diego Della Riva; Nick L Mills; Ron T Van Domburgh; Andrea Mariani; Artur Dziewierz; Marco di Cuia; Robert Jan van Geuns; Felix Zijlstra; Serena Bergerone; Sebastiano Marra; Giuseppe Biondi Zoccai; Fiorenzo Gaita Journal: Cardiol J Date: 2017-03-10 Impact factor: 2.737
Authors: Dae Hyun Kim; James R Rogers; Lisa A Fulchino; Caroline A Kim; Daniel H Solomon; Seoyoung C Kim Journal: PLoS One Date: 2015-04-17 Impact factor: 3.240