Associations of non-traditional lipid parameters with high-risk plaques characterized by optical coherence tomography in acute myocardial infarction culprit lesions
Year: 2026
Type: article
Study design: Observational Study
Abstract: Objective: The objective of this research was to investigate the association between non-traditional lipid parameters and optical coherence tomography (OCT)-characterized high-risk plaques in patients with acute myocardial infarction (AMI). Methods: This retrospective study included 249 first-episode AMI patients admitted to the First Affiliated Hospital of Lanzhou University between January 2022 and December 2024. All patients underwent OCT-guided assessment of culprit lesions before revascularization. High-risk plaques were defined by more than two of the following features: lipid arc ≥90 °, fibrous cap thickness <65 μm, or plaque rupture/thrombus. Lesions with fewer than two of these criteria were classified as non-high-risk plaques. Clinical and laboratory data were collected, and a comprehensive lipid profile was calculated, including traditional indicators [e.g., non-HDL cholesterol (non-HDL-C)] and non-traditional ratios [e.g., apolipoprotein B/A1 ratio (ApoB/A1)]. Spearman correlation was used to assess relationships between lipid parameters and high-risk plaques. After excluding collinear variables, logistic regression, restricted cubic spline (RCS), and subgroup analyses were performed. Model discrimination and clinical value were evaluated using receiver operating characteristic (ROC) curves, the DeLong test, integrated discrimination improvement (IDI), net reclassification index (NRI), and decision curve analysis (DCA). Results: < 0.05). Conclusion: Both the non-traditional ApoB/A1 ratio and the traditional lipid marker non-HDL-C were independently and linearly associated with OCT-characterized high-risk plaques in AMI. Their combined assessment enhanced the identification of high-risk plaques morphology.
Institutions: Lanzhou University, First Hospital of Lanzhou University
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7126036688
