Literature DB >> 32000590

Ischemic Stroke and Bleeding: Clinical Benefit of Anticoagulation in Atrial Fibrillation After Intracerebral Hemorrhage.

Robert J Stanton1, Mark H Eckman2, Daniel Woo1, Charles J Moomaw1, Mary Haverbusch1, Matthew L Flaherty1, Dawn O Kleindorfer1.   

Abstract

Background and Purpose- Patients with intracerebral hemorrhage (ICH) and atrial fibrillation (AF) are at risk for ischemic events. While risk calculators (CHA2DS2-VASc and HAS-BLED) have been validated to assess risk for ischemic stroke and major bleeding in AF patients, decisions about anticoagulation must consider the net clinical benefit of anticoagulation. Furthermore, stroke and bleeding risk are highly correlated, making decisions more difficult. Methods- We examined patients in the GERFHS III study (Genetic and Environmental Risk Factors for Hemorrhagic Stroke)-a population-based retrospective study of spontaneous ICH patients without a structural or traumatic cause in the Greater Cincinnati/Northern Kentucky region between July 2008 and December 2012. CHA2DS2-VASc and HAS-B(L)ED (minus L because labile international normalized ratio was unavailable) scores were calculated for ICH patients with AF. Using a Markov state transition model, we estimated net clinical benefit of anticoagulation relative to no treatment in quality-adjusted life years (QALYs). We defined minimal clinically relevant benefit as 0.1 QALYs. Results- Among 1186 cases of spontaneous ICH, 95 cases had AF and met our survival criteria. Within 1 year, 8 of 95 (8%) would be expected to have a major bleeding event on anticoagulation, and 5 of 95 (5%) of patients would be expected to have an ischemic stroke off anticoagulation. Sixty-eight of 95 (71%) patients would have higher risk for major bleeding than for ischemic stroke. Anticoagulation with directly acting anticoagulants would result in no clinically significant gain or loss in 73%. Roughly 12% would gain >0.1 QALYs, and 15% would lose >0.1 QALYs. Among patients receiving aspirin, most have no significant net clinical benefit or loss. Overall, anticoagulation of the entire cohort would result in an aggregate loss of 0.92 QALYs. Conclusions- Our analysis suggests that universal anticoagulation after ICH would be associated with a net loss of QALY. Additional factors should be considered before anticoagulating patients with AF after ICH. Registration- URL: https://www.clinicaltrials.gov. Unique identifier: NCT00930280.

Entities:  

Keywords:  anticoagulants; atrial fibrillation; decision support techniques; hemorrhage; risk assessment

Mesh:

Substances:

Year:  2020        PMID: 32000590      PMCID: PMC7112469          DOI: 10.1161/STROKEAHA.119.027370

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  31 in total

Review 1.  Should anticoagulation be resumed after intracerebral hemorrhage?

Authors:  Joshua N Goldstein; Steven M Greenberg
Journal:  Cleve Clin J Med       Date:  2010-11       Impact factor: 2.321

2.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

3.  HAS-BLED Versus ATRIA Risk Scores for Intracranial Hemorrhage in Patients Receiving Thrombolytics for Pulmonary Embolism.

Authors:  Saurav Chatterjee; Gregory Y H Lip; Jay Giri
Journal:  J Am Coll Cardiol       Date:  2016-06-21       Impact factor: 24.094

4.  Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study.

Authors:  Leif Friberg; Mårten Rosenqvist; Gregory Y H Lip
Journal:  Eur Heart J       Date:  2012-01-13       Impact factor: 29.983

5.  Atrial fibrillation decision support tool: Population perspective.

Authors:  Mark H Eckman; Alexandru Costea; Mehran Attari; Jitender Munjal; Ruth E Wise; Carol Knochelmann; Matthew L Flaherty; Pete Baker; Robert Ireton; Brett M Harnett; Anthony C Leonard; Dylan Steen; Adam Rose; John Kues
Journal:  Am Heart J       Date:  2017-08-23       Impact factor: 4.749

6.  Restarting Anticoagulant Treatment After Intracranial Hemorrhage in Patients With Atrial Fibrillation and the Impact on Recurrent Stroke, Mortality, and Bleeding: A Nationwide Cohort Study.

Authors:  Peter Brønnum Nielsen; Torben Bjerregaard Larsen; Flemming Skjøth; Anders Gorst-Rasmussen; Lars Hvilsted Rasmussen; Gregory Y H Lip
Journal:  Circulation       Date:  2015-06-09       Impact factor: 29.690

7.  Intracranial hemorrhage and subsequent ischemic stroke in patients with atrial fibrillation: a nationwide cohort study.

Authors:  Peter Brønnum Nielsen; Torben Bjerregaard Larsen; Anders Gorst-Rasmussen; Flemming Skjøth; Lars Hvilsted Rasmussen; Gregory Y H Lip
Journal:  Chest       Date:  2015-06       Impact factor: 9.410

8.  CHADS₂, CHA₂S₂DS₂-VASc, and long-term stroke outcome in patients without atrial fibrillation.

Authors:  George Ntaios; Gregory Y H Lip; Konstantinos Makaritsis; Vasileios Papavasileiou; Anastasia Vemmou; Eleni Koroboki; Paraskevi Savvari; Efstathios Manios; Haralampos Milionis; Konstantinos Vemmos
Journal:  Neurology       Date:  2013-02-13       Impact factor: 9.910

9.  Using an Atrial Fibrillation Decision Support Tool for Thromboprophylaxis in Atrial Fibrillation: Effect of Sex and Age.

Authors:  Mark H Eckman; Gregory Y H Lip; Ruth E Wise; Barbara Speer; Megan Sullivan; Nita Walker; Brett Kissela; Matthew L Flaherty; Dawn Kleindorfer; Peter Baker; Robert Ireton; Dave Hoskins; Brett M Harnett; Carlos Aguilar; Anthony Leonard; Lora Arduser; Dylan Steen; Alexandru Costea; John Kues
Journal:  J Am Geriatr Soc       Date:  2016-05       Impact factor: 5.562

10.  Cost-effectiveness of using pharmacogenetic information in warfarin dosing for patients with nonvalvular atrial fibrillation.

Authors:  Mark H Eckman; Jonathan Rosand; Steven M Greenberg; Brian F Gage
Journal:  Ann Intern Med       Date:  2009-01-20       Impact factor: 25.391

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