Incremental predictive value of red cell distribution width for 12-month clinical outcome after acute myocardial infarction

Clin Cardiol. 2013 Jun;36(6):336-41. doi: 10.1002/clc.22114. Epub 2013 Apr 8.

Abstract

Background: The incremental predictive value of red cell distribution width (RDW) for major adverse cardiac events (MACEs) has not been fully investigated in patients with acute myocardial infarction (AMI).

Hypothesis: The aim of this study was to determine the incremental value of RDW to the established risk factors in predicting clinical outcomes after AMI.

Methods: Between November 2005 and January 2010, 1596 patients with AMI (1070 male; mean age, 64.5 ± 11.9 years) were analyzed in this study. Baseline levels of RDW were measured at the time of admission. The 12-month MACEs were defined as death and nonfatal MI.

Results: The RDW levels were significantly higher in patients with 12-month MACEs (13.8 ± 1.3% vs 13.3 ± 1.2%, P < 0.001). In a Cox proportional hazards model, RDW (hazard ratio [HR]: 1.19, P = 0.016) was an independent predictor for 12-month MACEs. Adding RDW to established risk factors and hemoglobin levels significantly improved prediction for 12-month MACEs, as shown by the net reclassification improvement (0.297; P = 0.012) and integrated discrimination improvement (0.0143; P = 0.042). The likelihood ratio test showed that RDW added incremental predictive value to the combination of hemoglobin and established risk factors (P = 0.005). Patients were categorized into 4 groups according to quartiles of RDW at baseline. Adjusted HRs for 12-month MACEs were 1 (RDW ≤12.6%, reference), 4.24 (RDW 12.7%-13.1%, P = 0.01), 4.36 (RDW 13.2%-13.9%, P = 0.008), and 6.18 (RDW 13.2%-13.9%, P = 0.001), respectively.

Conclusions: In post-myocardial infarction patients, baseline RDW levels at admission could provide incremental predictive value to established risk factors for predicting 12-month MACEs.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Aged
  • Biomarkers / blood
  • Chi-Square Distribution
  • Erythrocyte Indices*
  • Female
  • Hemoglobins / metabolism
  • Humans
  • Likelihood Functions
  • Logistic Models
  • Male
  • Middle Aged
  • Myocardial Infarction / blood*
  • Myocardial Infarction / mortality
  • Patient Admission
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Registries
  • Republic of Korea
  • Retrospective Studies
  • Risk Factors
  • Time Factors

Substances

  • Biomarkers
  • Hemoglobins