Differential progression of coronary atherosclerosis according to plaque composition: a cluster analysis of PARADIGM registry data

Abstract Patient-specific phenotyping of coronary atherosclerosis would facilitate personalized risk assessment and preventive treatment. We explored whether unsupervised cluster analysis can categorize patients with coronary atherosclerosis according to their plaque composition, and determined how...

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Autores principales:	Yeonyee E. Yoon, Lohendran Baskaran, Benjamin C. Lee, Mohit Kumar Pandey, Benjamin Goebel, Sang-Eun Lee, Ji Min Sung, Daniele Andreini, Mouaz H. Al-Mallah, Matthew J. Budoff, Filippo Cademartiri, Kavitha Chinnaiyan, Jung Hyun Choi, Eun Ju Chun, Edoardo Conte, Ilan Gottlieb, Martin Hadamitzky, Yong Jin Kim, Byoung Kwon Lee, Jonathon A. Leipsic, Erica Maffei, Hugo Marques, Pedro de Araújo Gonçalves, Gianluca Pontone, Sanghoon Shin, Jagat Narula, Jeroen J. Bax, Fay Yu-Huei Lin, Leslee Shaw, Hyuk-Jae Chang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4d9fea8472954db9b2f04ddb9bb12962
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Differential progression of coronary atherosclerosis according to plaque composition: a cluster analysis of PARADIGM registry data

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