Literature DB >> 36151447

Association of Neighborhood Disadvantage and Anticoagulation for Patients with Atrial Fibrillation in the Veterans Health Administration: the REACH-AF Study.

Annie McDermott1, Nadejda Kim2, Leslie R M Hausmann2,3, Jared W Magnani1, Chester B Good2,3,4, Terrence M A Litam2, Maria K Mor2,5, Toluwa D Omole1, Walid F Gellad2,3, Michael J Fine2,3, Utibe R Essien6,7.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia, the management of which includes anticoagulation for stroke prevention. Although disparities in anticoagulant prescribing have been well documented for individual socioeconomic factors, less is known about the association of neighborhood-level disadvantage and anticoagulation for AF.
OBJECTIVE: To assess the association between neighborhood disadvantage and anticoagulant initiation for patients with incident AF.
DESIGN: Retrospective cohort study. PARTICIPANTS: A cohort of patients enrolled in the Veterans Health Administration (VA) with incident AF from January 2014 through December 2020 from the Race, Ethnicity, and Anticoagulant CHoice in Atrial Fibrillation (REACH-AF) Study. MAIN MEASURES: The primary exposure was neighborhood disadvantage quantified using area deprivation index (ADI), classified by quintiles (Q). The outcomes were initiation of any anticoagulant therapy (warfarin or direct oral anticoagulant, DOAC) within 90 days of AF diagnosis and DOAC use among initiators. We used mixed effects logistic regression to assess the association between ADI and anticoagulant therapy, incorporating a fixed effect for treatment site and baseline patient, provider, and facility covariates. KEY
RESULTS: Among 161,089 patients, 105,489 (65.5%) initiated any anticoagulant therapy, and 78,903 (74.8%) used DOACs. Any anticoagulant therapy increased 3.2 percentage points (63.0% to 66.2%; p<.001) from Q1 to Q5, whereas DOAC use decreased 8.2 percentage points (79.4% to 71.2%; p<.0001) across quintiles. The adjusted odd ratios of any anticoagulant therapy were non-significantly different for Q2-Q5 than Q1. The adjusted odds of DOAC use decreased progressively from 0.89 (95% CI, 0.84-0.94) in Q2 to 0.77 (95% CI, 0.73-0.83) in Q5 compared to Q1 (p<.0001).
CONCLUSIONS: Among Veterans with incident AF, we observed similar initiation of any anticoagulant, though neighborhood deprivation was associated with decreased DOAC use among anticoagulant initiators. Future interventions to improve pharmacoequity in anticoagulant prescribing for AF should consider the role of neighborhood-level determinants of health inequities.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Keywords:  Veterans; anticoagulation; atrial fibrillation; health equity; neighborhood deprivation; pharmacoequity

Year:  2022        PMID: 36151447     DOI: 10.1007/s11606-022-07810-z

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   6.473


  47 in total

1.  Antithrombotic strategies for atrial fibrillation: on the threshold of changes? Yes.

Authors:  G Di Pasquale; G Casella
Journal:  J Thromb Haemost       Date:  2005-03       Impact factor: 5.824

Review 2.  2019 AHA/ACC/HRS Focused Update of the 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 Clinical Practice Guidelines and the Heart Rhythm Society in Collaboration With the Society of Thoracic Surgeons.

Authors:  Craig T January; L Samuel Wann; Hugh Calkins; Lin Y Chen; Joaquin E Cigarroa; Joseph C Cleveland; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Karen L Furie; Paul A Heidenreich; Katherine T Murray; Julie B Shea; Cynthia M Tracy; Clyde W Yancy
Journal:  Circulation       Date:  2019-01-28       Impact factor: 29.690

3.  2016 ACC/AHA Clinical Performance and Quality Measures for Adults With Atrial Fibrillation or Atrial Flutter: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures.

Authors:  Paul A Heidenreich; Penelope Solis; N A Mark Estes; Gregg C Fonarow; Corrine Y Jurgens; Joseph E Marine; David D McManus; Robert L McNamara
Journal:  J Am Coll Cardiol       Date:  2016-06-27       Impact factor: 24.094

4.  Impact of atrial fibrillation on the risk of death: the Framingham Heart Study.

Authors:  E J Benjamin; P A Wolf; R B D'Agostino; H Silbershatz; W B Kannel; D Levy
Journal:  Circulation       Date:  1998-09-08       Impact factor: 29.690

5.  Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation.

Authors:  Robert G Hart; Lesly A Pearce; Maria I Aguilar
Journal:  Ann Intern Med       Date:  2007-06-19       Impact factor: 25.391

6.  Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates.

Authors:  W B Kannel; P A Wolf; E J Benjamin; D Levy
Journal:  Am J Cardiol       Date:  1998-10-16       Impact factor: 2.778

7.  Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study.

Authors:  Sumeet S Chugh; Rasmus Havmoeller; Kumar Narayanan; David Singh; Michiel Rienstra; Emelia J Benjamin; Richard F Gillum; Young-Hoon Kim; John H McAnulty; Zhi-Jie Zheng; Mohammad H Forouzanfar; Mohsen Naghavi; George A Mensah; Majid Ezzati; Christopher J L Murray
Journal:  Circulation       Date:  2013-12-17       Impact factor: 29.690

8.  Real-World Adherence and Persistence to Direct Oral Anticoagulants in Patients With Atrial Fibrillation: A Systematic Review and Meta-Analysis.

Authors:  Aya F Ozaki; Austin S Choi; Quan T Le; Dennis T Ko; Janet K Han; Sandy S Park; Cynthia A Jackevicius
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-03-09

9.  Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.

Authors:  Salim S Virani; Alvaro Alonso; Hugo J Aparicio; Emelia J Benjamin; Marcio S Bittencourt; Clifton W Callaway; April P Carson; Alanna M Chamberlain; Susan Cheng; Francesca N Delling; Mitchell S V Elkind; Kelly R Evenson; Jane F Ferguson; Deepak K Gupta; Sadiya S Khan; Brett M Kissela; Kristen L Knutson; Chong D Lee; Tené T Lewis; Junxiu Liu; Matthew Shane Loop; Pamela L Lutsey; Jun Ma; Jason Mackey; Seth S Martin; David B Matchar; Michael E Mussolino; Sankar D Navaneethan; Amanda Marma Perak; Gregory A Roth; Zainab Samad; Gary M Satou; Emily B Schroeder; Svati H Shah; Christina M Shay; Andrew Stokes; Lisa B VanWagner; Nae-Yuh Wang; Connie W Tsao
Journal:  Circulation       Date:  2021-01-27       Impact factor: 29.690

Review 10.  Social determinants of atrial fibrillation.

Authors:  Utibe R Essien; Jelena Kornej; Amber E Johnson; Lucy B Schulson; Emelia J Benjamin; Jared W Magnani
Journal:  Nat Rev Cardiol       Date:  2021-06-02       Impact factor: 32.419

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