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Dataset Information

The atherogenic index of plasma predicts long-term outcomes in patients with severe coronary artery calcification undergoing rotational atherectomy: a machine learning-based cohort study.


ABSTRACT:

Background

The atherogenic index of plasma (AIP) is known to be associated with atherosclerotic burden. However, the prognostic value of AIP in patients with severe coronary artery calcification (CAC) undergoing rotational atherectomy (RA) remains unclear. This study aimed to evaluate the relationship between AIP and adverse outcomes in this patient population and to explore relevant risk factors using explainable machine learning methods.

Methods

This study included patients with severe CAC who underwent RA between January 2017 and October 2024, with a median follow-up of 40.55 months. Patients were divided into three groups according to baseline AIP tertiles. The primary endpoints were cardiovascular death or all-cause death; secondary endpoints included non-fatal myocardi

SUBMITTER: Hu B 

PROVIDER: S-EPMC12777130 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature