Prognostic value of elevated lipoprotein(a) in patients with acute coronary syndromes

Baris Gencer1, Fabio Rigamonti1, David Nanchen2

  • 1Cardiology Division, Geneva University Hospitals, Geneva, Switzerland.

Insights

High lipoprotein(a) [Lp(a)] levels in acute coronary syndrome patients did not predict cardiovascular events. However, elevated Lp(a) may identify individuals unlikely to reach LDL-C targets post-ACS.

Area of Science:

  • Cardiology
  • Lipidology
  • Preventive Cardiology

Background:

  • Lipoprotein(a) [Lp(a)] is a risk factor for cardiovascular disease.
  • Minimal Lp(a) target values are recommended for high-risk patients.
  • The prognostic value of Lp(a) in acute coronary syndromes (ACS) requires further investigation.

Purpose of the Study:

  • To assess the prognostic value of Lp(a) in patients hospitalized for ACS.
  • To determine the association between elevated Lp(a) and major adverse cardiovascular events (MACE) at 1 year.
  • To explore the relationship between Lp(a) levels and achievement of LDL-C targets.

Main Methods:

  • Prospective cohort study of 1711 ACS patients.
  • Lp(a) levels measured at angiography.
  • Association with 1-year MACE (cardiac death, myocardial infarction, stroke) analyzed using Cox regression, adjusting for cardiovascular risk factors.
  • Lp(a) assessed as elevated (≥30 mg/dL), tertiles, and continuous variable.

Main Results:

  • Elevated Lp(a) (≥30 mg/dL) was observed in 23.0% of patients.
  • Higher Lp(a) was associated with female gender and higher lipid levels.
  • Elevated Lp(a) predicted failure to reach LDL-C target <1.8 mmol/L at 1 year (HR 1.71).
  • No significant association was found between elevated Lp(a) and 1-year MACE.

Conclusions:

  • In ACS patients, high Lp(a) levels at angiography do not predict 1-year cardiovascular outcomes if medically well-controlled.
  • Elevated Lp(a) may serve as a marker for identifying patients at risk of not achieving LDL-C targets post-ACS.
  • Real-world data suggest a nuanced role for Lp(a) in ACS risk stratification and treatment target adherence.
Abstract

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