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Epidemiology

Lp(a) and an LDL subfraction synergistically predict MACE after ACS, cohort of 2,061 (Angiology 2026)

Original title: Predictive Power of Lipoprotein (a) and LDL Subfractions for Major Adverse Cardiovascular Events Among ACS Patients

Angiology · · 6

Li T, Wang L, Li W, Wang L, Yang H, Cong H

Cohort of 2061 acute coronary syndrome (ACS) patients from Tianjin Chest Hospital, grouped by Lp(a) and the sixth LDL particle subfraction (LDL-P6), followed a mean 5.4 years (456 patients, 22.1%, developed MACE). Both Lp(a) and LDL-P6 independently predicted MACE; the highest-risk group had markedly higher MACE incidence than the lowest-risk group (HR 5.718, 95% CI 3.703-8.829, p<0.001). Lp(a) alone gave an AUC of 0.735 and LDL-P6 an AUC of 0.727 for MACE prediction, and adding either biomarker to a baseline model significantly improved the C-statistic and integrated discrimination improvement (all p<0.001). The authors conclude Lp(a) and LDL-P6 independently and synergistically predict MACE in ACS, supporting their combined use in risk stratification.

Read the paper (DOI)PubMed

Original abstract

The present study aimed to investigate the combined impact of lipoprotein (a) [Lp(a)] and low-density lipoprotein (LDL) subfractions on cardiovascular outcomes in patients with acute coronary syndrome (ACS). The study enrolled 2061 ACS patients from Tianjin Chest Hospital. Participants were categorized into 4 groups based on their Lp(a) and the concentration of the sixth component particles of LDL(LDL-P6). The primary endpoint was the occurrence of major adverse cardiovascular events (MACE). The relationship between LDL-P6, Lp(a), and MACE was evaluated. Over a mean follow-up period of 5.4 years, 456 (22.1%) patients experienced MACE. Multivariate analysis identified both LDL-P6 and Lp(a) as significant independent predictors of MACE in ACS patients. Those in the highest-risk group had a substantially higher incidence of MACE compared with the lowest-risk group (HR 5.718; 95% CI 3.703-8.829; P < .001). The area under the curve (AUC) for MACE prediction was 0.735 for Lp(a) and 0.727 for LDL-P6. Adding either biomarker to baseline models significantly improved the C-statistic and integrated discrimination improvement (all P < .001). In ACS patients, both Lp(a) and LDL-P6 independently and synergistically predicted MACE, underscoring the value of incorporating these markers into risk stratification models for more accurate patient assessment.

epidemiologyrisk prediction

Summary written by lp-a.org from the published abstract; figures as published. Page updated 17 August 2026. Methods.