Predicting future left anterior descending artery events from non-culprit lesions: insights from the Lipid-Rich Plaque study
European Heart Journal - Cardiovascular Imaging

Abstract
The left anterior descending (LAD) artery is the most frequently affected site by coronary artery disease. The prospective Lipid Rich Plaque (LRP) study, which enrolled patients undergoing imaging of non-culprits followed over 2 years, reported the successful identification of coronary segments at risk of future events based on near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS) lipid signals. We aimed to characterize the plaque events involving the LAD vs. non-LAD segments.
LRP enrolled 1563 patients from 2014 to 2016. All adjudicated plaque events defined by the composite of cardiac death, cardiac arrest, non-fatal myocardial infarction, acute coronary syndrome, revascularization by coronary bypass or percutaneous coronary intervention, and rehospitalization for angina with >20% stenosis progression and reported as non-culprit lesion-related major adverse cardiac events (NC-MACE) were classified by NIRS-IVUS maxLCBI4 mm (maximum 4-mm Lipid Core Burden Index) ≤400 or >400 and association with high-risk-plaque characteristics, plaque burden ≥70%, and minimum lumen area (MLA) ≤4 mm2. Fifty-seven events were recorded with more lipid-rich plaques in the LAD vs. left circumflex and right coronary artery; 12.5% vs. 10.4% vs. 11.3%,
Non-culprit lipid-rich segments in the LAD were more frequently associated with plaque-level events. LAD NIRS-IVUS screening may help identify patients requiring intensive surveillance and medical treatment.
Contributors

Kayode O Kuku
Author

Hector M Garcia-Garcia
Author
Medstar Washington Hospital Centre Washington, DC , United States of America

Gheorghe Doros
Author

Gary S Mintz
Author

Ziad A Ali
Author

William H Skinner
Author

Andre K Artis
Author

Tim ten Cate
Author

Eric Powers
Author

Shing Chiu Wong
Author

Joanna Wykrzykowska
Author

Sandeep Dube
Author

Samer Kazziha
Author

Martin van der Ent
Author

Priti Shah
Author

Stephen Sum
Author

Rebecca Torguson
Author

Carlo Di Mario
Author

Ron Waksman
Author
