Lipoprotein(a) as an Independent Risk Factor and Prognostic Marker of Obstructive Coronary Artery Atherosclerosis in Young Patients: A Literature

Introduction. Lipoprotein(a) (Lp(a)) is a genetically determined, independent risk factor for premature coronary artery atherosclerosis, exhibiting atherogenic, prothrombotic, and pro-inflammatory properties. Aim. To summarize current evidence on the pathophysiology, epidemiology, and clinical significance of Lp(a) in young patients with obstructive coronary artery atherosclerosis, and to review emerging therapeutic strategies for its reduction. Results. Elevated Lp(a) levels (>125 nmol/L) are found in 20-30 % of the general population and up to 40% of young patients with premature coronary artery disease, including those without traditional risk factors. High Lp(a) levels correlate with disease severity (SYNTAX and Gensini scores) and increase the risk of reinfarction and restenosis after percutaneous interventions. Current therapeutic options are limited; the most promising are targeted genetic therapies (pelacarsen, olpasiran, SLN360), which can achieve 80-95 % reductions in Lp(a) levels. Conclusions. Lp(a) measurement should be included in routine screening for high-risk groups. Incorporation of novel therapeutic strategies into clinical practice may significantly improve the prognosis of young patients with premature atherosclerosis.

Authors

Institutions

Publication Details

Journal
Ukrainian journal of cardiovascular surgery
Published
2025-09-25
DOI
https://doi.org/10.63181/ujcvs.2025.33(3).25-30
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lipoprotein(a) as an Independent Risk Factor and Prognostic Marker of Obstructive Coronary Artery Atherosclerosis in Young Patients: A Literature

Yevhen Yu. Marushko, G. B. Mankovsky, Mariia B. Heneha
Ukrainian journal of cardiovascular surgery
Lipoproteins and Cardiovascular Health
article

Lipoprotein(a) as an Independent Risk Factor and Prognostic Marker of Obstructive Coronary Artery Atherosclerosis in Young Patients: A Literature

Yevhen Yu. Marushko, G. B. Mankovsky, Mariia B. Heneha
article en

Abstract

Introduction. Lipoprotein(a) (Lp(a)) is a genetically determined, independent risk factor for premature coronary artery atherosclerosis, exhibiting atherogenic, prothrombotic, and pro-inflammatory properties. Aim. To summarize current evidence on the pathophysiology, epidemiology, and clinical significance of Lp(a) in young patients with obstructive coronary artery atherosclerosis, and to review emerging therapeutic strategies for its reduction. Results. Elevated Lp(a) levels (>125 nmol/L) are found in 20-30 % of the general population and up to 40% of young patients with premature coronary artery disease, including those without traditional risk factors. High Lp(a) levels correlate with disease severity (SYNTAX and Gensini scores) and increase the risk of reinfarction and restenosis after percutaneous interventions. Current therapeutic options are limited; the most promising are targeted genetic therapies (pelacarsen, olpasiran, SLN360), which can achieve 80-95 % reductions in Lp(a) levels. Conclusions. Lp(a) measurement should be included in routine screening for high-risk groups. Incorporation of novel therapeutic strategies into clinical practice may significantly improve the prognosis of young patients with premature atherosclerosis.

Ukrainian journal of cardiovascular surgeryVol. 33(3)
Ministry of Internal Affairs of the Republic of Tajikistan (TJ)
Openalex Percentile: Top 58%
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.