2024
DOI: 10.3390/app14199079
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Exploring the Prognostic Impact of Non-Obstructive Coronary Artery Lesions through Machine Learning

Pablo Torres-Salomón,
Jorge Rodríguez-Capitán,
Miguel A. Molina-Cabello
et al.

Abstract: The prognostic impact of non-obstructive coronary artery disease (CAD) remains controversial. Therefore, the objective of this study is to assess the long-term prognostic significance of non-obstructive CAD using machine learning models. We designed a multicenter retrospective, longitudinal, and observational study that included 3265 patients classified into three groups: 1426 patients with lesions < 20%, 643 patients with non-obstructive CAD (lesions 20–50%), and 1196 patients with obstructive CAD (lesions… Show more

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