Literature DB >> 26552504

Racial Differences in Quality of Anticoagulation Therapy for Atrial Fibrillation (from the TREAT-AF Study).

Celina Yong1, Farnaz Azarbal2, Freddy Abnousi1, Paul A Heidenreich1, Susan Schmitt3, Jun Fan3, Claire T Than3, Aditya J Ullal3, Felix Yang4, Ciaran S Phibbs5, Susan M Frayne1, P Michael Ho6, Supriya Shore7, Kenneth W Mahaffey2, Mintu P Turakhia8.   

Abstract

The influence of race on quality of anticoagulation control is not well described. We examined the association between race, international normalized ratio (INR) monitoring intensity, and INR control in warfarin-treated patients with atrial fibrillation (AF). Using data from the Veterans Health Administration (VHA), we performed a retrospective cohort study of 184,161 patients with a new diagnosis of AF/flutter from 2004 to 2012 who received any VHA prescription within 90 days of diagnosis. The primary predictor was race, ascertained from multiple VHA and linked Medicare demographic files. The primary outcome was first-year and long-term time in therapeutic range (TTR) of INR 2.0 to 3.0. Secondary outcomes were INR monitoring intensity and warfarin persistence. Of the 116,021 patients who received warfarin in the cohort, INR monitoring intensity was similar across racial groups. However, TTR was lowest in blacks and highest in whites (first year 0.49 ± 0.23 vs 0.57 ± 0.21, p <0.001; long term 0.52 ± 0.20 vs 0.59 ± 0.18, p <0.001); 64% of whites and 49% of blacks had long-term TTR >55% (p <0.001). After adjusting for site and patient-level covariates, black race was associated with lower first-year and long-term TTRs (4.2% and 4.1% below the conditional mean, relative to whites; p <0.0001 for both). One-year warfarin persistence was slightly lower in blacks compared to whites (58% vs 60%, p <0.0001). In conclusion, in patients with AF anticoagulated with warfarin, differences in INR control are most evident among blacks, underscoring the need to determine if other types of intensive management or warfarin alternatives may be necessary to improve anticoagulation among vulnerable AF populations. Published by Elsevier Inc.

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Year:  2015        PMID: 26552504     DOI: 10.1016/j.amjcard.2015.09.047

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  9 in total

1.  Quality of anticoagulation control and hemorrhage risk among African American and European American warfarin users.

Authors:  Nita A Limdi; Todd M Brown; Aditi Shendre; Nianjun Liu; Charles E Hill; Timothy M Beasley
Journal:  Pharmacogenet Genomics       Date:  2017-10       Impact factor: 2.089

2.  Association of Race/Ethnicity With Oral Anticoagulant Use in Patients With Atrial Fibrillation: Findings From the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation II.

Authors:  Utibe R Essien; DaJuanicia N Holmes; Larry R Jackson; Gregg C Fonarow; Kenneth W Mahaffey; James A Reiffel; Benjamin A Steinberg; Larry A Allen; Paul S Chan; James V Freeman; Rosalia G Blanco; Karen S Pieper; Jonathan P Piccini; Eric D Peterson; Daniel E Singer
Journal:  JAMA Cardiol       Date:  2018-12-01       Impact factor: 14.676

Review 3.  Racial and Ethnic Differences in the Management of Atrial Fibrillation.

Authors:  Kamala P Tamirisa; Sana M Al-Khatib; Sanghamitra Mohanty; Janet K Han; Andrea Natale; Dhiraj Gupta; Andrea M Russo; Amin Al-Ahmad; Anne M Gillis; Kevin L Thomas
Journal:  CJC Open       Date:  2021-09-13

4.  Direct Oral Anticoagulant Adherence of Patients With Atrial Fibrillation Transitioned from Warfarin.

Authors:  Krishna N Pundi; Alexander C Perino; Jun Fan; Susan Schmitt; Mitra Kothari; Karolina Szummer; Mariam Askari; Paul A Heidenreich; Mintu P Turakhia
Journal:  J Am Heart Assoc       Date:  2021-11-15       Impact factor: 6.106

Review 5.  Warfarin Pharmacogenomics in Diverse Populations.

Authors:  Justin B Kaye; Lauren E Schultz; Heidi E Steiner; Rick A Kittles; Larisa H Cavallari; Jason H Karnes
Journal:  Pharmacotherapy       Date:  2017-09-06       Impact factor: 4.705

Review 6.  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

Review 7.  Prediction Score for Anticoagulation Control Quality Among Older Adults.

Authors:  Kueiyu Joshua Lin; Daniel E Singer; Robert J Glynn; Suzanne Blackley; Li Zhou; Jun Liu; Gina Dube; Lynn B Oertel; Sebastian Schneeweiss
Journal:  J Am Heart Assoc       Date:  2017-10-05       Impact factor: 5.501

8.  Clinical Prediction Model for Time in Therapeutic Range While on Warfarin in Newly Diagnosed Atrial Fibrillation.

Authors:  Brent A Williams; Michael A Evans; Ashley M Honushefsky; Peter B Berger
Journal:  J Am Heart Assoc       Date:  2017-10-12       Impact factor: 5.501

9.  Disparities in Anticoagulant Therapy Initiation for Incident Atrial Fibrillation by Race/Ethnicity Among Patients in the Veterans Health Administration System.

Authors:  Utibe R Essien; Nadejda Kim; Leslie R M Hausmann; Maria K Mor; Chester B Good; Jared W Magnani; Terrence M A Litam; Walid F Gellad; Michael J Fine
Journal:  JAMA Netw Open       Date:  2021-07-01
  9 in total

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