Literature DB >> 28120297

Personalizing Bridging Anticoagulation in Patients with Nonvalvular Atrial Fibrillation-a Microsimulation Analysis.

Matthew A Pappas1,2, Geoffrey D Barnes3, Sandeep Vijan4,5.   

Abstract

BACKGROUND: Bridging anticoagulation is commonly prescribed to patients with atrial fibrillation who are initiating warfarin or require interruption of anticoagulation. Current guidelines recommend bridging for patients at high risk of stroke. Among patients with atrial fibrillation and one or more risk factors for ischemic stroke, the recently published BRIDGE trial found forgoing bridging during interruption to be, on average, noninferior to bridging with respect to ischemic complications, with significantly fewer hemorrhagic complications.
OBJECTIVE: We sought to examine the benefits and harms of bridging anticoagulation across the spectrum of ischemic and hemorrhagic stroke risk and thereby enable more nuanced, risk-stratified decision-making when bridging is considered during initiation or interruption of vitamin K antagonists.
DESIGN: A Monte Carlo simulation, using a combination of literature-derived estimates, registry data, and trial data. MAIN MEASURES: Net clinical benefit, weighting for ischemic strokes, intracranial hemorrhages, and extracranial major hemorrhages. KEY
RESULTS: The benefits and harms of bridging anticoagulation vary according to underlying patient risk profiles for both thromboembolic stroke and major intracranial bleeding. Patients at high risk of ischemic stroke and low risk of hemorrhage derive benefit from bridging during initiation or interruption of warfarin therapy. Patients at similarly high or low risk of both outcomes may receive benefit from bridging during initiation and bridging during interruption, but this was sensitive to underlying assumptions. The need for stratification along both axes of risk was robust to a wide range of parameters.
CONCLUSIONS: Bridging anticoagulation may provide benefit to patients at high risk of ischemic stroke and low risk of intracranial hemorrhage who are initiating or interrupting warfarin therapy, while patients at high or low risk of both complications may be harmed. The use of bridging anticoagulation in patients with non-valvular atrial fibrillation should be considered only after stratification by risk of ischemic and hemorrhagic complications.

Entities:  

Keywords:  Monte Carlo Method; anticoagulants; atrial fibrillation; models; statistical; thromboembolism

Mesh:

Substances:

Year:  2017        PMID: 28120297      PMCID: PMC5377884          DOI: 10.1007/s11606-016-3932-7

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  21 in total

1.  A new risk scheme to predict warfarin-associated hemorrhage: The ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study.

Authors:  Margaret C Fang; Alan S Go; Yuchiao Chang; Leila H Borowsky; Niela K Pomernacki; Natalia Udaltsova; Daniel E Singer
Journal:  J Am Coll Cardiol       Date:  2011-07-19       Impact factor: 24.094

2.  Differences among western European countries in anticoagulation management of atrial fibrillation. Data from the PREFER IN AF registry.

Authors:  Jean-Yves Le Heuzey; Bettina Ammentorp; Harald Darius; Raffaele De Caterina; Richard John Schilling; Josef Schmitt; José Luis Zamorano; Paulus Kirchhof
Journal:  Thromb Haemost       Date:  2014-03-20       Impact factor: 5.249

Review 3.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2014-03-28       Impact factor: 24.094

4.  Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.

Authors:  B F Gage; A D Waterman; W Shannon; M Boechler; M W Rich; M J Radford
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

5.  Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF).

Authors:  Brian F Gage; Yan Yan; Paul E Milligan; Amy D Waterman; Robert Culverhouse; Michael W Rich; Martha J Radford
Journal:  Am Heart J       Date:  2006-03       Impact factor: 4.749

6.  A pharmacogenetic versus a clinical algorithm for warfarin dosing.

Authors:  Stephen E Kimmel; Benjamin French; Scott E Kasner; Julie A Johnson; Jeffrey L Anderson; Brian F Gage; Yves D Rosenberg; Charles S Eby; Rosemary A Madigan; Robert B McBane; Sherif Z Abdel-Rahman; Scott M Stevens; Steven Yale; Emile R Mohler; Margaret C Fang; Vinay Shah; Richard B Horenstein; Nita A Limdi; James A S Muldowney; Jaspal Gujral; Patrice Delafontaine; Robert J Desnick; Thomas L Ortel; Henny H Billett; Robert C Pendleton; Nancy L Geller; Jonathan L Halperin; Samuel Z Goldhaber; Michael D Caldwell; Robert M Califf; Jonas H Ellenberg
Journal:  N Engl J Med       Date:  2013-11-19       Impact factor: 91.245

7.  Perioperative Bridging Anticoagulation in Patients with Atrial Fibrillation.

Authors:  James D Douketis; Alex C Spyropoulos; Scott Kaatz; Richard C Becker; Joseph A Caprini; Andrew S Dunn; David A Garcia; Alan Jacobson; Amir K Jaffer; David F Kong; Sam Schulman; Alexander G G Turpie; Vic Hasselblad; Thomas L Ortel
Journal:  N Engl J Med       Date:  2015-06-22       Impact factor: 91.245

Review 8.  Periprocedural heparin bridging in patients receiving vitamin K antagonists: systematic review and meta-analysis of bleeding and thromboembolic rates.

Authors:  Deborah Siegal; Jovana Yudin; Scott Kaatz; James D Douketis; Wendy Lim; Alex C Spyropoulos
Journal:  Circulation       Date:  2012-08-21       Impact factor: 29.690

9.  Stroke and bleeding risk co-distribution in real-world patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Maura Marcucci; Gregory Y H Lip; Robby Nieuwlaat; Ron Pisters; Harry J G M Crijns; Alfonso Iorio
Journal:  Am J Med       Date:  2014-05-13       Impact factor: 4.965

10.  A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: the ATRIA study stroke risk score.

Authors:  Daniel E Singer; Yuchiao Chang; Leila H Borowsky; Margaret C Fang; Niela K Pomernacki; Natalia Udaltsova; Kristi Reynolds; Alan S Go
Journal:  J Am Heart Assoc       Date:  2013-06-21       Impact factor: 5.501

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  2 in total

1.  Cost-Effectiveness of Bridging Anticoagulation Among Patients with Nonvalvular Atrial Fibrillation.

Authors:  Matthew A Pappas; Geoffrey D Barnes; Sandeep Vijan
Journal:  J Gen Intern Med       Date:  2019-01-08       Impact factor: 5.128

2.  Cost-Effectiveness of Bridging Anticoagulation.

Authors:  Matthew A Pappas
Journal:  J Gen Intern Med       Date:  2019-10-10       Impact factor: 5.128

  2 in total

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