Leuko-platelet index predicts thrombotic events in patients with acute coronary syndrome

Hernán Cohen Arazi1, Daniel Chirino2, Juan Pablo Costabel3

  • 1Argentine Society of Cardiology, Buenos Aires, Argentina.

Insights

The leuko-platelet index (LPI) can predict adverse outcomes in acute coronary syndromes (ACS) patients. An LPI greater than 24 is linked to higher mortality and resistance to antiplatelet therapy.

Area of Science:

  • Cardiology
  • Biomarkers
  • Clinical Prediction

Background:

  • Acute coronary syndromes (ACS) are a leading cause of cardiovascular mortality.
  • Accurate risk stratification and prediction of treatment response are crucial for managing ACS patients.
  • Novel biomarkers are needed to improve bedside risk assessment.

Purpose of the Study:

  • To evaluate the predictive value of the leuko-platelet index (LPI) in hospitalized patients with ACS.
  • To assess the association of LPI with the risk of combined adverse events (mortality, shock, heart failure) and response to antiplatelet therapy.

Main Methods:

  • A derivation cohort of 1100 ACS patients was used to establish the association between LPI and clinical outcomes.
  • LPI was calculated as (platelet count * leukocyte count / 10^8).
  • Validation was performed in two independent cohorts.

Main Results:

  • LPI was significantly higher in patients with myocardial infarction compared to unstable angina.
  • An LPI > 24 was associated with an increased risk of combined adverse events (OR 1.7-5.2, p=0.01), independent of age and GRACE score.
  • Elevated LPI was also linked to resistance to antiplatelet therapy (OR 1.03, p=0.05).

Conclusions:

  • The leuko-platelet index (LPI) is a valuable bedside index for predicting adverse outcomes in ACS patients.
  • An LPI > 24 identifies patients at higher risk for mortality, shock, or heart failure.
  • LPI may also predict resistance to antiplatelet therapy, guiding treatment decisions.
Abstract

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