Lipoproteins predicting coronary lesion complexity in premature coronary artery disease: a supervised machine learning approach

Lipoproteins predicting coronary lesion complexity in premature coronary artery disease: a supervised machine learning approach

IntroductionWe aimed to assess the usefulness of lipoprotein(a) [Lp(a)] and LDL-C levels as potential predictors of coronary lesions' complexity in patients with premature coronary artery disease (pCAD).MethodsThis study enrolled 162 consecutive patients with pCAD undergoing coronary angiograph...

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Main Authors: Marta Marcinkowska, Agnieszka Kuchta, Petra Małgorzata Grešner, Tomasz Figatowski, Piotr Kasprzyk, Radosław Targoński, Wojciech Sobiczewski, Miłosz Jaguszewski, Marcin Fijałkowski, Marcin Gruchała, Agnieszka Mickiewicz
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
premature coronary artery disease
lipoprotein(a)
SYNTAX score
machine learning
LDL - cholesterol
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1470500/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1470500/full

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