Literature DB >> 24476557

The economic burden to medicare of stroke events in atrial fibrillation populations with and without thromboprophylaxis.

Aarti A Patel1, Kristine Ogden, Mark Veerman, Samir H Mody, Winnie W Nelson, Nancy Neil.   

Abstract

Some 3 million people in the United States have atrial fibrillation (AF). Without thromboprophylaxis, AF increases overall stroke risk 5-fold. Prevention is paramount as AF-related strokes tend to be severe. Thromboprophylaxis reduces the annual incidence of stroke in AF patients by 22%-62%. However, antithrombotics are prescribed for only about half of appropriate AF patients. The study team estimates the economic implications for Medicare of fewer stroke events resulting from increased thromboprophylaxis among moderate- to high-risk AF patients. The decision model used considers both reduced stroke and increased bleeding risk from thromboprophylaxis for a hypothetical cohort on no thromboprophylaxis (45%), antiplatelets (10%), and anticoagulation (45%). AF prevalence, stroke risk, and stroke risk reduction are adjusted for age, comorbidities, and anticoagulation/antiplatelet status. Health care costs are literature based. At baseline, an estimated 24,677 ischemic strokes, 9127 hemorrhagic strokes, and 9550 bleeding events generate approximately $2.63 billion in annual event-related health care costs to Medicare for every million AF patients eligible for thromboprophylaxis. A 10% increase in anticoagulant use in the untreated population would reduce stroke events by 9%, reduce stroke fatalities by 9%, increase bleed events by 5%, and reduce annual stroke/bleed-related costs to Medicare by about $187 million (7.1%) for every million eligible AF patients. A modest 10% increase in the use of thromboprophylaxis would reduce event-related costs to Medicare by 7.1%, suggesting a compelling economic motivation to improve rates of appropriate thromboprophylaxis. New oral anticoagulants offering better balance between the risks of stroke and major bleeding events may improve these clinical and economic outcomes.

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Year:  2014        PMID: 24476557      PMCID: PMC4050709          DOI: 10.1089/pop.2013.0056

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  24 in total

1.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

2.  Warfarin use among ambulatory patients with nonvalvular atrial fibrillation: the anticoagulation and risk factors in atrial fibrillation (ATRIA) study.

Authors:  A S Go; E M Hylek; L H Borowsky; K A Phillips; J V Selby; D E Singer
Journal:  Ann Intern Med       Date:  1999-12-21       Impact factor: 25.391

Review 3.  Current trial-associated outcomes with warfarin in prevention of stroke in patients with nonvalvular atrial fibrillation: a meta-analysis.

Authors:  Shikhar Agarwal; Rory Hachamovitch; Venu Menon
Journal:  Arch Intern Med       Date:  2012-03-26

4.  Cost efficiency of anticoagulation with warfarin to prevent stroke in medicare beneficiaries with nonvalvular atrial fibrillation.

Authors:  Catherine J Mercaldi; Mike Ciarametaro; Beth Hahn; George Chalissery; Matthew W Reynolds; Stephen D Sander; Gregory P Samsa; David B Matchar
Journal:  Stroke       Date:  2010-12-09       Impact factor: 7.914

Review 5.  Underuse of oral anticoagulants in atrial fibrillation: a systematic review.

Authors:  Isla M Ogilvie; Nick Newton; Sharon A Welner; Warren Cowell; Gregory Y H Lip
Journal:  Am J Med       Date:  2010-07       Impact factor: 4.965

Review 6.  Comparison of 12 risk stratification schemes to predict stroke in patients with nonvalvular atrial fibrillation.

Authors: 
Journal:  Stroke       Date:  2008-04-17       Impact factor: 7.914

Review 7.  Clinical epidemiology of atrial fibrillation and related cerebrovascular events in the United States.

Authors:  Kamakshi Lakshminarayan; David C Anderson; Charles A Herzog; Adnan I Qureshi
Journal:  Neurologist       Date:  2008-05       Impact factor: 1.398

8.  Potential net clinical benefit of population-wide implementation of apixaban and dabigatran among European patients with atrial fibrillation. A modelling analysis from the Euro Heart Survey.

Authors:  Ron Pisters; Robby Nieuwlaat; Deirdre A Lane; Harry J G M Crijns; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2012-11-22       Impact factor: 5.249

9.  Prevalence, clinical profile, and cardiovascular outcomes of atrial fibrillation patients with atherothrombosis.

Authors:  Shinya Goto; Deepak L Bhatt; Joachim Röther; Mark Alberts; Michael D Hill; Yasuo Ikeda; Shinichiro Uchiyama; Ralph D'Agostino; E Magnus Ohman; Chiau-Suong Liau; Alan T Hirsch; Jean-Louis Mas; Peter W F Wilson; Ramón Corbalán; Franz Aichner; P Gabriel Steg
Journal:  Am Heart J       Date:  2008-09-23       Impact factor: 4.749

Review 10.  Novel anticoagulants for stroke prevention in atrial fibrillation: a systematic review of cost-effectiveness models.

Authors:  Brendan L Limone; William L Baker; Jeffrey Kluger; Craig I Coleman
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

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  1 in total

1.  Adherence to Anticoagulation and Risk of Stroke Among Medicare Beneficiaries Newly Diagnosed with Atrial Fibrillation.

Authors:  Inmaculada Hernandez; Meiqi He; Maria M Brooks; Samir Saba; Walid F Gellad
Journal:  Am J Cardiovasc Drugs       Date:  2020-04       Impact factor: 3.571

  1 in total

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