Association between lipoprotein(a) levels, cumulative lipoprotein(a) burden, and cardiovascular outcomes in patients with acute myocardial infarction: a large-scale cohort study

To determine whether lipoprotein(a) [Lp(a)] and cumulative Lp(a) (CumLp(a)) are associated with adverse outcomes in patients with acute myocardial infarction (AMI). This cohort study included 2,634 hospitalized patients diagnosed with AMI who underwent coronary angiography at Zhongda Hospital, Southeast University, from July 2013, to December 2021. The main outcome was major adverse cardiac and cerebrovascular events (MACCE), defined as cardiovascular (CV) death, non-fatal myocardial infarction, non-fatal stroke, or unplanned revascularization—occurring singly or in combination. We used Cox proportional hazards models, with subgroup and sensitivity analyses, restricted cubic spline (RCS) modeling, and threshold-effect assessment to evaluate the relationships between Lp(a), CumLp(a), and prognosis. Across a median 55.2-month follow-up, 907 participants (34.40%) experienced a MACCE, 342 (13.00%) patients had CV death, 177 (6.70%) patients had non-fatal MI, 202 (7.70%) patients had non-fatal stroke, 399 (15.10%) patients underwent unplanned revascularization, and all-cause death occurred in 547 (20.80%) patients. Multivariable Cox regression models demonstrated a significantly increased risk of MACCE, CV death, non-fatal MI, and non-fatal stroke in both the higher Lp(a) and higher CumLp(a) groups compared with the lower groups (HRs for Lp(a): 1.652, 2.157, 3.455, and 1.930; HRs for CumLp(a): 1.697, 1.675, 3.759, and 2.032), and every one-unit rise in CumLp(a), the risk of MACCE, CV death, non-fatal MI and non-fatal stroke increased by 1.3%, 1.4%, 1.9% and 1.2%, respectively. The majority of subgroup and sensitivity checks consistently supported a stable link between Lp(a)/CumLp(a) and the risks of MACCE, CV death, non-fatal MI, and stroke. Analyses using RCS and threshold models revealed that Log10(Lp(a)) had both nonlinear and threshold effects on the risks of MACCE and each single event other than unplanned revascularization, while log10-transformed CumLp(a) showed nonlinear and threshold associations only with MACCE, CV death, and non-fatal MI (nonlinearity P < 0.05). Higher levels of Lp(a) and CumLp(a) are linked to a greater risk of poor outcomes among patients with AMI as the index event, highlighting their potential value for risk stratification and guiding clinical decision-making.

Authors

Institutions

Publication Details

Journal
Lipids in Health and Disease
Published
2025-12-12
DOI
https://doi.org/10.1186/s12944-025-02800-6
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between lipoprotein(a) levels, cumulative lipoprotein(a) burden, and cardiovascular outcomes in patients with acute myocardial infarction: a large-scale cohort study

Junnan Tang, Zhenwei Wang, Jinying Zhang
Lipids in Health and Disease
Lipoproteins and Cardiovascular Health
article

Association between lipoprotein(a) levels, cumulative lipoprotein(a) burden, and cardiovascular outcomes in patients with acute myocardial infarction: a large-scale cohort study

Junnan Tang, Zhenwei Wang, Jinying Zhang
article en

Abstract

To determine whether lipoprotein(a) [Lp(a)] and cumulative Lp(a) (CumLp(a)) are associated with adverse outcomes in patients with acute myocardial infarction (AMI). This cohort study included 2,634 hospitalized patients diagnosed with AMI who underwent coronary angiography at Zhongda Hospital, Southeast University, from July 2013, to December 2021. The main outcome was major adverse cardiac and cerebrovascular events (MACCE), defined as cardiovascular (CV) death, non-fatal myocardial infarction, non-fatal stroke, or unplanned revascularization—occurring singly or in combination. We used Cox proportional hazards models, with subgroup and sensitivity analyses, restricted cubic spline (RCS) modeling, and threshold-effect assessment to evaluate the relationships between Lp(a), CumLp(a), and prognosis. Across a median 55.2-month follow-up, 907 participants (34.40%) experienced a MACCE, 342 (13.00%) patients had CV death, 177 (6.70%) patients had non-fatal MI, 202 (7.70%) patients had non-fatal stroke, 399 (15.10%) patients underwent unplanned revascularization, and all-cause death occurred in 547 (20.80%) patients. Multivariable Cox regression models demonstrated a significantly increased risk of MACCE, CV death, non-fatal MI, and non-fatal stroke in both the higher Lp(a) and higher CumLp(a) groups compared with the lower groups (HRs for Lp(a): 1.652, 2.157, 3.455, and 1.930; HRs for CumLp(a): 1.697, 1.675, 3.759, and 2.032), and every one-unit rise in CumLp(a), the risk of MACCE, CV death, non-fatal MI and non-fatal stroke increased by 1.3%, 1.4%, 1.9% and 1.2%, respectively. The majority of subgroup and sensitivity checks consistently supported a stable link between Lp(a)/CumLp(a) and the risks of MACCE, CV death, non-fatal MI, and stroke. Analyses using RCS and threshold models revealed that Log10(Lp(a)) had both nonlinear and threshold effects on the risks of MACCE and each single event other than unplanned revascularization, while log10-transformed CumLp(a) showed nonlinear and threshold associations only with MACCE, CV death, and non-fatal MI (nonlinearity P < 0.05). Higher levels of Lp(a) and CumLp(a) are linked to a greater risk of poor outcomes among patients with AMI as the index event, highlighting their potential value for risk stratification and guiding clinical decision-making.

Lipids in Health and DiseaseVol. 24(1)
Henan University (CN), Zhengzhou University (CN), Henan Academy of Sciences (CN), Henan University of Engineering (CN), Zhongda Hospital Southeast University (CN), First Affiliated Hospital of Zhengzhou University (CN), Henan Provincial Center for Disease Control and Prevention (CN)
National Natural Science Foundation of China, Zhengzhou University, Natural Science Foundation of Henan Province, Innovation Scientists and Technicians Troop Construction Projects of Henan Province, First Affiliated Hospital of Zhengzhou University
Openalex Percentile: Top 40%
Lipoproteins and Cardiovascular Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.