Predictive factors associated with bleeding in atrial fibrillation patients treated with anti-coagulant drugs using a

Kenji Momo1,2, Kana Shu-Toh1, Makiko Kaneko3

  • 1Faculty of Pharmaceutical Sciences, Teikyo Heisei University, Nakano-ku, Tokyo, Japan.

Plos One
|September 1, 2020
PubMed

Insights

In younger atrial fibrillation patients, polypharmacy significantly increases bleeding risk when using anticoagulants. Healthcare providers should monitor younger patients on multiple medications for bleeding signs.

Area of Science:

  • Cardiology
  • Pharmacology
  • Epidemiology

Background:

  • Atrial fibrillation (AF) patients require anticoagulants to prevent stroke.
  • Bleeding is a major complication of anticoagulant therapy.
  • Identifying bleeding risk factors is crucial for patient safety.

Purpose of the Study:

  • To identify risk factors for bleeding in atrial fibrillation patients treated with anticoagulants.
  • To analyze the impact of polypharmacy on bleeding risk in AF patients.
  • To stratify bleeding risk based on age and cerebrovascular disease history.

Main Methods:

  • Retrospective cohort study using a Japanese claims database (2004-2016).
  • Included 2796 AF patients with 4-month screening and 12-month observation periods.
  • Logistic regression analysis was used to detect predictive factors for bleeding, stratified by cerebrovascular disease presence.

Main Results:

  • Polypharmacy (≥6 drugs) was present in 29.1% of patients; 13.3% experienced bleeding.
  • In younger AF patients (<60), polypharmacy was a significant predictor of bleeding (OR 1.09-1.20).
  • History of bleeding predicted bleeding in both young and elderly; polypharmacy and starting warfarin predicted bleeding only in the young.

Conclusions:

  • Polypharmacy is a significant bleeding risk factor in younger AF patients on anticoagulants.
  • Physicians and pharmacists should monitor younger patients with predictive risk factors for early bleeding signs.
  • This study highlights the need for tailored bleeding risk assessment in AF patients.
Abstract

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