@article{24461cfb0bbc4dc085d72b145459949a,
title = "Markers of Myocardial Damage Predict Mortality in Patients with Aortic Stenosis",
abstract = "Using machine learning, we identified four CMR markers of myocardial damage (ECV%, RVEF, LGE%, and LVEDVi) as major predictors of post-AVR mortality. Each parameter demonstrated a distinct non-linear association with mortality in the random survival forest model, most notably an ECV%>27% being associated with increased risk. These markers significantly improved risk prediction when added to the prediction model based on clinical risk factors and also showed effective risk stratification when combined into the AS-CMR risk score. The results were externally validated in a large independent cohort. These myocardial damage markers may offer major potential in optimizing the timing of AVR.",
keywords = "Aortic valve stenosis, magnetic resonance imaging, random survival forest",
author = "Soongu Kwak and Everett, {Russell J.} and Treibel, {Thomas A.} and Seokhun Yang and Doyeon Hwang and Taehoon Ko and Williams, {Michelle C} and Rong Bing and Trisha Singh and Shruti Joshi and Heesun Lee and Whal Lee and Yong-Jin Kim and Chin, {Calvin W.L.} and Miho Fukui and Musa, {Tarique A.} and Marzia Rigolli and Anvesha Singh and Lionel Tastet and Dobson, {Laura E.} and Stephanie Wiesemann and Ferreira, {Vanessa M} and Gabriella Captur and Sahmin Lee and Jeanette Schulz-Menger and Schelbert, {Erik B} and Marie-Annick Clavel and Sung-Jin Park and Tobias Rheude and Martin Hadamitzky and Gerber, {Bernhard L.} and Newby, {David E} and Myerson, {Saul G} and Phillipe Pibarot and Cavalcante, {Jo{\~a}o L} and McCann, {Gerry P} and Greenwood, {John P} and Moon, {James C.} and Dweck, {Marc R} and Seung-Pyo Lee",
year = "2021",
month = aug,
day = "10",
doi = "10.1016/j.jacc.2021.05.047",
language = "English",
journal = "Journal of the American College of Cardiology",
issn = "0735-1097",
publisher = "ELSEVIER SCIENCE INC",
}