Literature DB >> 26130229

The changing characteristics of atrial fibrillation patients treated with warfarin.

Andrew Putnam1, Xiaokui Gu2, Brian Haymart2, Eva Kline-Rogers2, Steve Almany3, Jay Kozlowski4, Gregory D Krol5, Scott Kaatz6, James B Froehlich2, Geoffrey D Barnes2.   

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.

Entities:  

Keywords:  Anticoagulation; Atrial fibrillation; Warfarin

Mesh:

Substances:

Year:  2015        PMID: 26130229      PMCID: PMC4772860          DOI: 10.1007/s11239-015-1244-0

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  29 in total

1.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

2.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

3.  Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data.

Authors:  W A Ghali; R E Hall; A K Rosen; A S Ash; M A Moskowitz
Journal:  J Clin Epidemiol       Date:  1996-03       Impact factor: 6.437

4.  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

5.  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.

Authors:  Stuart J Connolly; Janice Pogue; John Eikelboom; Gregory Flaker; Patrick Commerford; Maria Grazia Franzosi; Jeffrey S Healey; Salim Yusuf
Journal:  Circulation       Date:  2008-10-27       Impact factor: 29.690

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.  Dabigatran versus warfarin in patients with atrial fibrillation.

Authors:  Stuart J Connolly; Michael D Ezekowitz; Salim Yusuf; John Eikelboom; Jonas Oldgren; Amit Parekh; Janice Pogue; Paul A Reilly; Ellison Themeles; Jeanne Varrone; Susan Wang; Marco Alings; Denis Xavier; Jun Zhu; Rafael Diaz; Basil S Lewis; Harald Darius; Hans-Christoph Diener; Campbell D Joyner; Lars Wallentin
Journal:  N Engl J Med       Date:  2009-08-30       Impact factor: 91.245

8.  Stroke severity in atrial fibrillation. The Framingham Study.

Authors:  H J Lin; P A Wolf; M Kelly-Hayes; A S Beiser; C S Kase; E J Benjamin; R B D'Agostino
Journal:  Stroke       Date:  1996-10       Impact factor: 7.914

9.  Effect of intensity of oral anticoagulation on stroke severity and mortality in atrial fibrillation.

Authors:  Elaine M Hylek; Alan S Go; Yuchiao Chang; Nancy G Jensvold; Lori E Henault; Joe V Selby; Daniel E Singer
Journal:  N Engl J Med       Date:  2003-09-11       Impact factor: 91.245

10.  The net clinical benefit of warfarin anticoagulation in atrial fibrillation.

Authors:  Daniel E Singer; Yuchiao Chang; Margaret C Fang; Leila H Borowsky; Niela K Pomernacki; Natalia Udaltsova; Alan S Go
Journal:  Ann Intern Med       Date:  2009-09-01       Impact factor: 25.391

View more
  1 in total

1.  Stroke risks and patterns of warfarin therapy among atrial fibrillation patients post radiofrequency ablation: A real-world experience.

Authors:  Juan Zhang; Xingpeng Liu; Xiaoqing Liu; Xiandong Yin; Yanjiang Wang; Xiaoying Lu; Xinchun Yang
Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.817

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.