A clinical prediction rule to identify patients with atrial fibrillation and a low risk for stroke while taking

Carl van Walraven1, Robert G Hart, George A Wells

  • 1Clinical Epidemiology Unit, Ottawa Health Research Institute, Ottawa Hospital, Ontario, Canada. carlv@ohri.ca

Insights

Patients with atrial fibrillation (AF) taking aspirin and without key risk factors have stroke rates similar to the general population. These individuals may not need oral anticoagulation therapy.

Area of Science:

  • Cardiology
  • Clinical Prediction Models
  • Pharmacotherapy

Background:

  • Nonvalvular atrial fibrillation (AF) increases stroke risk.
  • Current guidelines often recommend oral anticoagulation for AF patients, but this may not be necessary for all.
  • Identifying low-risk AF patients on aspirin is crucial for appropriate treatment decisions.

Purpose of the Study:

  • To develop and validate a simple clinical prediction rule.
  • To identify nonvalvular AF patients on aspirin with a low stroke risk.
  • To determine if oral anticoagulation is unnecessary for this low-risk group.

Main Methods:

  • Included 2501 patients with AF treated with aspirin from 6 clinical trials.
  • Used recursive partitioning to identify low-risk patients in a derivation set.
  • Validated the prediction rule on a separate validation set.

Main Results:

  • Low-risk patients (no prior stroke/TIA, no hypertension or SBP ≥140 mmHg, no symptomatic CAD, no diabetes) had stroke rates of 1.0-1.1 events/100 PYs.
  • These rates were comparable to age- and sex-matched community cohorts (1.2 events/100 PYs).
  • Low-risk patients constituted 24% of the cohort and 16% of those >75 years.

Conclusions:

  • Patients with AF on aspirin and without the 4 identified risk factors have stroke rates similar to the general population.
  • These low-risk patients may not substantially benefit from oral anticoagulation therapy.
  • The derived prediction rule can help guide treatment decisions in AF patients taking aspirin.
Abstract

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