The association between red cell distribution width and stroke in patients with atrial fibrillation

Walid Saliba1, Ofra Barnett-Griness2, Mazen Elias3

  • 1Department of Community Medicine and Epidemiology, Carmel Medical Center, Clalit Health Services, and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Internal Medicine C, Ha'emek Medical Center, Afula, Israel.

Insights

Red cell distribution width (RDW) is linked to higher stroke risk in atrial fibrillation patients. Higher RDW levels significantly predict stroke, even without anemia, improving risk assessment.

Area of Science:

  • Cardiology
  • Neurology
  • Hematology

Background:

  • Red cell distribution width (RDW) is a known predictor of cardiovascular morbidity and mortality.
  • Atrial fibrillation (AF) is a major risk factor for ischemic stroke.

Purpose of the Study:

  • To investigate the association between RDW and stroke risk in patients diagnosed with atrial fibrillation.
  • To determine if RDW improves stroke risk prediction in AF patients.

Main Methods:

  • A cohort of 41,140 adult patients with atrial fibrillation, not on anticoagulants, was identified from a large Israeli Health Maintenance Organization database.
  • Patients were followed for the occurrence of stroke from diagnosis until December 31, 2012.
  • Multivariate analysis adjusted for CHADS2 score risk factors was performed.

Main Results:

  • A total of 1692 strokes occurred during follow-up. Stroke incidence increased progressively across RDW quartiles.
  • Elevated RDW (>14.5%) was independently associated with a 29% increased hazard ratio for stroke (HR, 1.29).
  • RDW inclusion improved the predictive model's accuracy (AUC 0.618 vs. 0.598 for CHADS2 alone).

Conclusions:

  • Red cell distribution width is a significant, independent predictor of stroke in patients with atrial fibrillation.
  • RDW improves the predictive accuracy of stroke risk in AF patients, regardless of anemia status.
  • RDW offers valuable prognostic information for stroke risk stratification in AF.
Abstract