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The changing characteristics of atrial fibrillation patients treated with warfarin

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Abstract

It has been suggested that direct oral anticoagulants are being preferentially used in low risk atrial fibrillation (AF) patients. Understanding the changing risk profile of new AF patients treated with warfarin is important for interpreting the quality of warfarin delivery through an anticoagulation clinic. Six anticoagulation clinics participating in the Michigan Anticoagulation Quality Improvement Initiative enrolled 1293 AF patients between 2010 and 2014 as an inception cohort. Abstracted data included demographics, comorbidities, medication use and all INR values. Risk scores including CHADS2, CHA2DS2-VASc, HAS-BLED, SAMe-TT2R2, and Charlson comorbidity index (CCI) were calculated for each patient at the time of warfarin initiation. The quality of anticoagulation was assessed using the Rosendaal time in the therapeutic range (TTR) during the first 6 months of treatment. Between 2010 and 2014, patients initiating warfarin therapy for AF had an increasing mean CHADS2 (2.0 ± 1.1 to 2.2 ± 1.4, p = 0.02) and CCI (4.7 ± 1.8 to 5.1 ± 2.0, p = 0.03), and a trend towards increasing mean CHA2DS2-VASc, HAS-BLED, and SAMe-TT2R2 scores. The actual TTR remained unchanged over the study period (62.6 ± 18.2 to 62.7 ± 17.0, p = 0.98), and the number of INR checks did not change (18.9 ± 5.2 to 18.5 ± 5.1, p = 0.06). Between 2010 and 2014, AF patients newly starting warfarin had mild increases in risk for stroke and death with sustained quality of warfarin therapy.

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References

  1. Wolf PA, Abbott RD, Kannel WB (1991) Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 22(8):983–988

    Article  CAS  PubMed  Google Scholar 

  2. Lin HJ, Wolf PA, Kelly-Hayes M et al (1996) Stroke severity in atrial fibrillation. The Framingham Study. Stroke 27(10):1760–1764

    Article  CAS  PubMed  Google Scholar 

  3. Singer DE, Chang Y, Fang MC et al (2009) The net clinical benefit of warfarin anticoagulation in atrial fibrillation. Ann Intern Med 151(5):297–305

    Article  PubMed Central  PubMed  Google Scholar 

  4. Olesen JB, Lip GY, Lindhardsen J et al (2011) Risks of thromboembolism and bleeding with thromboprophylaxis in patients with atrial fibrillation: a net clinical benefit analysis using a ‘real world’ nationwide cohort study. Thromb Haemost 106(4):739–749

    Article  CAS  PubMed  Google Scholar 

  5. Hylek EM, Go AS, Chang Y et al (2003) Effect of intensity of oral anticoagulation on stroke severity and mortality in atrial fibrillation. N Engl J Med 349(11):1019–1026

    Article  CAS  PubMed  Google Scholar 

  6. Connolly SJ, Ezekowitz MD, Yusuf S et al (2009) Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med 361(12):1139–1151

    Article  CAS  PubMed  Google Scholar 

  7. Patel MR, Mahaffey KW, Garg J et al (2011) Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med 365(10):883–891

    Article  CAS  PubMed  Google Scholar 

  8. Granger CB, Alexander JH, McMurray JJ et al (2011) Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med 365(11):981–992

    Article  CAS  PubMed  Google Scholar 

  9. Barnes GD, Ageno W, Ansell J, Kaatz S, Anticoagulation SotCo (2015) Recommendation on the nomenclature for oral anticoagulants: communication from the SSC of the ISTH. J Thromb Haemost. doi:10.1111/jth.12969

    Google Scholar 

  10. Kirley K, Qato DM, Kornfield R, Stafford RS, Alexander GC (2012) National trends in oral anticoagulant use in the United States, 2007 to 2011. Circ Cardiovasc Qual Outcomes 5(5):615–621

    Article  PubMed Central  PubMed  Google Scholar 

  11. Desai NR, Krumme AA, Schneeweiss S et al (2014) Patterns of initiation of oral anticoagulants in patients with atrial fibrillation—quality and cost implications. Am J Med 127:1075–1082

    Article  PubMed  Google Scholar 

  12. Steinberg BA, Holmes DN, Piccini JP et al (2013) Early adoption of dabigatran and its dosing in US patients with atrial fibrillation: results from the outcomes registry for better informed treatment of atrial fibrillation. J Am Heart Assoc 2(6):e000535

    Article  PubMed Central  PubMed  Google Scholar 

  13. Connolly SJ, Pogue J, Eikelboom J et al (2008) Benefit of oral anticoagulant over antiplatelet therapy in atrial fibrillation depends on the quality of international normalized ratio control achieved by centers and countries as measured by time in therapeutic range. Circulation 118(20):2029–2037

    Article  CAS  PubMed  Google Scholar 

  14. Apostolakis S, Sullivan RM, Olshansky B, Lip GY (2013) Factors affecting quality of anticoagulation control among patients with atrial fibrillation on warfarin: the SAMe-TT2R2 score. Chest 144(5):1555–1563

    Article  CAS  PubMed  Google Scholar 

  15. Barnes GD, Kaatz S, Winfield J et al (2014) Warfarin use in atrial fibrillation patients at low risk for stroke: analysis of the Michigan Anticoagulation Quality Improvement Initiative (MAQI(2)). J Thromb Thrombolysis 37(2):171–176

    Article  CAS  PubMed  Google Scholar 

  16. Rosendaal FR, Cannegieter SC, van der Meer FJ, Briët E (1993) A method to determine the optimal intensity of oral anticoagulant therapy. Thromb Haemost 69(3):236–239

    CAS  PubMed  Google Scholar 

  17. Cockcroft DW, Gault MH (1976) Prediction of creatinine clearance from serum creatinine. Nephron 16(1):31–41

    Article  CAS  PubMed  Google Scholar 

  18. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ (2001) Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 285(22):2864–2870

    Article  CAS  PubMed  Google Scholar 

  19. Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ (2010) 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. Chest 137(2):263–272

    Article  PubMed  Google Scholar 

  20. Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJ, Lip GY (2010) A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest 138(5):1093–1100

    Article  PubMed  Google Scholar 

  21. Gallego P, Roldán V, Marin F et al (2014) SAME-TT2R2 score, time in therapeutic range and outcomes in anticoagulated patients with atrial fibrillation. Am J Med 127:1083–1088

    Article  PubMed  Google Scholar 

  22. Yurkovich M, Avina-Zubieta JA, Thomas J, Gorenchtein M, Lacaille D (2015) A systematic review identifies valid comorbidity indices derived from administrative health data. J Clin Epidemiol 68(1):3–14

    Article  PubMed  Google Scholar 

  23. D’Hoore W, Sicotte C, Tilquin C (1993) Risk adjustment in outcome assessment: the Charlson comorbidity index. Methods Inf Med 32(5):382–387

    PubMed  Google Scholar 

  24. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383

    Article  CAS  PubMed  Google Scholar 

  25. Barnes GD, Gu X, Haymart B et al (2014) The predictive ability of the CHADS2 and CHA2DS2-VASc scores for bleeding risk in atrial fibrillation: the MAQI(2) experience. Thromb Res 134(2):294–299

    Article  CAS  PubMed  Google Scholar 

  26. Olesen JB, Lip GY, Hansen PR et al (2011) Bleeding risk in ‘real world’ patients with atrial fibrillation: comparison of two established bleeding prediction schemes in a nationwide cohort. J Thromb Haemost 9(8):1460–1467

    Article  CAS  PubMed  Google Scholar 

  27. Apostolakis S, Lane DA, Buller H, Lip GY (2013) Comparison of the CHADS2, CHA2DS2-VASc and HAS-BLED scores for the prediction of clinically relevant bleeding in anticoagulated patients with atrial fibrillation: the AMADEUS trial. Thromb Haemost 110(5):1074–1079

    Article  CAS  PubMed  Google Scholar 

  28. Singer DE, Hellkamp AS, Piccini JP et al (2013) Impact of global geographic region on time in therapeutic range on warfarin anticoagulant therapy: data from the ROCKET AF clinical trial. J Am Heart Assoc 2(1):e000067

    Article  PubMed Central  PubMed  Google Scholar 

  29. Ghali WA, Hall RE, Rosen AK, Ash AS, Moskowitz MA (1996) Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data. J Clin Epidemiol 49(3):273–278

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

MAQI2 is funded by Blue Cross Blue Shield of Michigan/Blue Care Network. However, the funding agency had no role in the collection or analysis of the data and no role in the creation or revisions of this manuscript. Dr. Barnes is supported by the National Heart, Lung and Blood Institute (2-T32-HL007853-16).

Disclosures

AP, XG, BH, JK, GK—none; EKR—consultant: Janssen, ACP, board member: AC Forum; SA—consulting fees/honoraria: Kona, Trice Orthopedics, Micardia; ownership/partnership/principal: Biostar Ventures, Ablative Solutions, research/research grants: Boston Scientific Watchman, Abbott Absorb trial; SK—consultant: BI, Janssen Dalichi Sankyo, Bristol Myer Squibb, Pfizer, speaker’s bureau: Janssen, Boehringer-Ingelheim, Bristol Myer Squibb, Pfizer, CSL Behring; JF—consultant Merck, Bristol Myer Squibb, Pfizer, Sanofi-Aventis, Janssen Pharmaceuticals; research grants: Fibromuscular Disease Society of America, Blue Cross/Blue Shield of Michigan; GB—consulting for Portolal research grants from Blue Cross/Blue Shield of Michigan and BMS/Pfizer.

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Correspondence to Andrew Putnam.

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Putnam, A., Gu, X., Haymart, B. et al. The changing characteristics of atrial fibrillation patients treated with warfarin. J Thromb Thrombolysis 40, 488–493 (2015). https://doi.org/10.1007/s11239-015-1244-0

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