Prevalence and predictors of culprit plaque rupture at OCT in patients with coronary artery disease: a meta-analysis

Abstract

Our analysis showed high rates of CPR and TCFA detected by OCT in CAD patients, especially in those with ACS, although their prevalence is not negligible in stable patients. TCFA seems to be a strong predictor of CPR in all the ACS scenarios.

2017 ESC focused update on dual antiplatelet therapy in coronary artery disease developed in collaboration with EACTS

“…No dedicated study exists assessing the benefits and risks of DAPT in this patient subset. However, a high prevalence of ruptured plaques has been observed at intravascular imaging modalities in this population, 182 suggesting that the benefits of DAPT in preventing recurrent MI should not be withheld from these patients if the risk of bleeding does not outweigh the anticipated benefit.…”

Gender, race and the presentation of acute coronary syndrome and serious cardiopulmonary diagnoses in ED patients with chest pain

“…Each analysis was conducted separately, controlling for patient age and cardiovascular comorbidities, which included previously diagnosed ischaemic heart disease, diabetes mellitus, hypertension, hypercholesterolaemia and family history of AMI in a first-degree relative <55 years. All of these have been associated with ACS in a recent meta-analysis 16. The purpose of these control variables was to assess the importance of each symptom within each subgroup after adjusting for readily available data—age and cardiovascular comorbidities—outside of test results that would be available to the clinician on initial assessment.…”

The year in cardiology 2015: prevention.

“…Finally, a recent meta-analysis of OCT studies suggested that the mean prevalence of culprit plaque rupture and thin-cap fibro-atheroma was almost 50% across different clinical subsets of patients; importantly, such events were most prominent in ST-elevation myocardial infarction (70-77%). 19 Innovative methodologies for novel biomarker identification to assess cardiovascular risk Although current risk models allow for increasingly precise risk equations in the general population, predicting life-threatening cardiovascular events at the level of the individual remains a challenge. More precise risk stratification, ideally based on causal factors, and personalization both of risk factor assessment and management are increasingly needed.…”