Anaemia to predict outcome in patients with acute coronary syndromes

Pierre Vladimir Ennezat1, Sylvestre Maréchaux, Claire Pinçon

  • 1Cardiology Intensive Care Unit, CHRU Lille and Institut Fédératif de Recherche 114, EA 2693, Université de Lille 2UDSL, France. ennezat@yahoo.com

Insights

Anemia independently predicts outcomes in acute coronary syndromes (ACS) and refines the GRACE risk score. This combination improves risk prediction, often correcting for overestimation in the GRACE score alone.

Area of Science:

  • Cardiology
  • Clinical Risk Stratification

Background:

  • Acute coronary syndromes (ACS) require risk stratification for optimal management.
  • The GRACE risk score is a standard tool for assessing ACS patient risk.
  • Patient heterogeneity in ACS necessitates refined risk assessment tools.

Purpose of the Study:

  • To determine if anemia improves the predictive accuracy of the GRACE risk score in ACS patients.
  • To evaluate the impact of anemia on midterm outcomes following ACS.

Main Methods:

  • A prospective registry of 1064 ACS patients was analyzed.
  • Anemia was defined by specific hemoglobin levels in men and women.
  • The primary endpoint was a composite of death or rehospitalization for myocardial infarction (MI) at 6 months.

Main Results:

  • Anemia was independently associated with adverse clinical outcomes in ACS patients (HR 2.870).
  • Adding anemia to the GRACE score significantly improved model fit and discrimination (c-statistic increased from 0.633 to 0.697).
  • Combining anemia with the GRACE score led to substantial reclassification of patient risk categories.

Conclusions:

  • Anemia provides independent prognostic information beyond the GRACE risk score.
  • Integrating anemia into the GRACE score enhances its predictive value for ACS outcomes.
  • The combined model offers a more accurate risk assessment, addressing GRACE score overestimation.
Abstract

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