Literature DB >> 30623388

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

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

Abstract

BACKGROUND: Bridging anticoagulation is commonly prescribed to patients with atrial fibrillation during initiation and interruption of warfarin. Guidelines recommend bridging patients at high risk of stroke, while a recent randomized trial demonstrated overall harm in a population at comparatively low risk of ischemic stroke. Theory suggests that patients at high risk of stroke and low risk of hemorrhage may benefit from bridging, but data informing patient selection are scant.
OBJECTIVE: To estimate the utility and cost-effectiveness of bridging anticoagulation among patients with nonvalvular atrial fibrillation, stratified by thromboembolic and hemorrhagic risk
DESIGN: Cost-effectiveness analysis with lifelong time horizon, from the perspective of a third-party payer MAIN MEASURES: Quality-adjusted life years (QALYs) per bridged patient; US dollars per QALY gained KEY
RESULTS: Unselected patients with nonvalvular atrial fibrillation may be harmed by bridging anticoagulation. Hospital admission for bridging is almost never cost-effective, and generally harmful. Among patients carefully selected by both thromboembolic and hemorrhagic risks, outpatient bridging can be beneficial and cost-effective. Results were sensitive to how effectively heparin products reduce stroke risk.
CONCLUSIONS: Outpatient bridging anticoagulation can be beneficial and cost-effective for a subset of patients with nonvalvular atrial fibrillation during interruption or initiation of warfarin. Admission for bridging should be avoided.

Entities:  

Keywords:  Monte Carlo method; anticoagulants; atrial fibrillation; models, statistical; thromboembolism

Mesh:

Substances:

Year:  2019        PMID: 30623388      PMCID: PMC6445930          DOI: 10.1007/s11606-018-4796-9

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


  36 in total

1.  Death and disability from warfarin-associated intracranial and extracranial hemorrhages.

Authors:  Margaret C Fang; Alan S Go; Yuchiao Chang; Elaine M Hylek; Lori E Henault; Nancy G Jensvold; Daniel E Singer
Journal:  Am J Med       Date:  2007-05-24       Impact factor: 4.965

2.  Risk score for in-hospital ischemic stroke mortality derived and validated within the Get With the Guidelines-Stroke Program.

Authors:  Eric E Smith; Nandavar Shobha; David Dai; Daiwai M Olson; Mathew J Reeves; Jeffrey L Saver; Adrian F Hernandez; Eric D Peterson; Gregg C Fonarow; Lee H Schwamm
Journal:  Circulation       Date:  2010-09-27       Impact factor: 29.690

3.  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

4.  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

5.  Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study.

Authors:  A S Go; E M Hylek; K A Phillips; Y Chang; L E Henault; J V Selby; D E Singer
Journal:  JAMA       Date:  2001-05-09       Impact factor: 56.272

6.  Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation.

Authors:  Gregory Y H Lip; Robby Nieuwlaat; Ron Pisters; Deirdre A Lane; Harry J G M Crijns
Journal:  Chest       Date:  2009-09-17       Impact factor: 9.410

7.  Quantifying the value of stroke disability outcomes: WHO global burden of disease project disability weights for each level of the modified Rankin Scale.

Authors:  Keun-Sik Hong; Jeffrey L Saver
Journal:  Stroke       Date:  2009-10-01       Impact factor: 7.914

8.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

Review 9.  Validation of population-based disease simulation models: a review of concepts and methods.

Authors:  Jacek A Kopec; Philippe Finès; Douglas G Manuel; David L Buckeridge; William M Flanagan; Jillian Oderkirk; Michal Abrahamowicz; Samuel Harper; Behnam Sharif; Anya Okhmatovskaia; Eric C Sayre; M Mushfiqur Rahman; Michael C Wolfson
Journal:  BMC Public Health       Date:  2010-11-18       Impact factor: 3.295

10.  A user's guide to the NINDS rt-PA stroke trial database.

Authors:  Robert J Dachs; John H Burton; Jeremy Joslin
Journal:  PLoS Med       Date:  2008-05-20       Impact factor: 11.069

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  2 in total

1.  Cost-Effectiveness of Bridging Anticoagulation.

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

2.  Cost of incorrect application of antithrombotic prophylaxis prior to invasive procedures.

Authors:  Ma Victoria Cuevas; Ignacio Martínez-Sancho; Jana Arribas; Covadonga García-Díaz; Beatriz Cuevas
Journal:  BMC Health Serv Res       Date:  2019-11-06       Impact factor: 2.655

  2 in total

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