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Anticoagulation in cancer patients with atrial fibrillation: recent advances.

Created on 02 Oct 2026

Authors

Danilo Menichelli, Flavio G Biccirè, Arturo Cesaro, Daniele Pastori

Published in

Polish archives of internal medicine. Volume 136. Issue 9. Pages 1-11. Sep 29, 2026. Epub Jul 28, 2026.

Abstract

Atrial fibrillation (AF) and cancer frequently coexist, particularly in elderly patients, creating a complex clinical scenario with increased thromboembolic and hemorrhagic risk. In these patients, in addition to established risk factors, cancer‑related factors, such as thrombocytopenia, organ dysfunction, and drug-drug interactions (DDIs), should be considered when managing anticoagulant treatment. Despite a growing prevalence of this clinical overlap, cancer patients have been under‑represented in randomized controlled trials of direct oral anticoagulants (DOACs) for AF. Consequently, evidence guiding anticoagulation decisions in this population derives largely from post hoc analyses and observational studies. The CHA2DS2‑VASc and Hypertension, Abnormal Renal / Liver Function, Stroke, Bleeding History or Predisposition scores, widely used for thromboembolic and bleeding risk stratification in the general AF population, demonstrated suboptimal predictive performance in cancer patients, underscoring the need for a risk factor-based approach specific for cancer patients. Emerging data consistently suggest that DOACs are at least as effective and safe as vitamin K antagonists in cancer patients with AF, with potential advantages in reducing the risk of stroke, major and intracranial bleeding, and mortality. However, DOAC use is still debated in some settings, such as gastrointestinal and genitourinary cancer, brain metastasis, and in the case of strong DDIs. This review summarizes current evidence on ischemic and bleeding risk assessment in cancer patients with AF, evaluates the performance of existing risk stratification tools, identifies cancer‑specific bleeding risk factors, and proposes a practical management algorithm for anticoagulation in this challenging population.

PMID:
42825528
Bibliographic data and abstract were imported from PubMed on 02 Oct 2026.

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