Ten-Year Trend of Oral Anticoagulation Use in Postoperative and Nonpostoperative Atrial Fibrillation in Routine Clinical Practice

被引:1
作者
Yao, Xiaoxi [1 ,2 ,3 ]
Van Houten, Holly K. [1 ,3 ]
Siontis, Konstantinos C. [2 ]
Friedman, Paul A. [2 ]
McBane II, Robert D. [2 ]
Gersh, Bernard J. [2 ]
Noseworthy, Peter A. [2 ]
机构
[1] Mayo Clin, Robert D & Patricia E Kern Ctr Sci Hlth Care Deliv, 200 First St SW, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Cardiovasc Med, Rochester, MN 55905 USA
[3] OptumLabs, Minnetonka, MN USA
来源
JOURNAL OF THE AMERICAN HEART ASSOCIATION | 2024年 / 13卷 / 13期
基金
美国国家卫生研究院;
关键词
adherence; oral anticoagulation; postoperative atrial fibrillation; HEALTH-CARE; STROKE; ASSOCIATION; GUIDELINE; ADHERENCE;
D O I
10.1161/JAHA.124.035708
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The study aimed to describe the patterns and trends of initiation, discontinuation, and adherence of oral anticoagulation (OAC) in patients with new-onset postoperative atrial fibrillation (POAF), and compare with patients newly diagnosed with non-POAF. Methods and Results: This retrospective cohort study identified patients newly diagnosed with atrial fibrillation or flutter between 2012 and 2021 using administrative claims data from OptumLabs Data Warehouse. The POAF cohort included 118 366 patients newly diagnosed with atrial fibrillation or flutter within 30 days after surgery. The non-POAF cohort included the remaining 315 832 patients who were newly diagnosed with atrial fibrillation or flutter but not within 30 days after a surgery. OAC initiation increased from 28.9% to 44.0% from 2012 to 2021 in POAF, and 37.8% to 59.9% in non-POAF; 12-month medication adherence increased from 47.0% to 61.8% in POAF, and 59.7% to 70.4% in non-POAF. The median time to OAC discontinuation was 177 days for POAF, and 242 days for non-POAF. Patients who saw a cardiologist within 90 days of the first atrial fibrillation or flutter diagnosis, regardless of POAF or non-POAF, were more likely to initiate OAC (odds ratio, 2.92 [95% CI, 2.87-2.98]; P <0.0001), adhere to OAC (odds ratio, 1.08 [95% CI, 1.04-1.13]; P <0.0001), and less likely to discontinue (odds ratio, 0.83 [95% CI, 0.82-0.85]; P <0.0001) than patients who saw a surgeon or other specialties. Conclusions: The use of and adherence to OAC were higher in non-POAF patients than in POAF patients, but they increased over time in both groups. Patients managed by cardiologists were more likely to use and adhere to OAC, regardless of POAF or non-POAF.
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页数:10
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共 27 条
[1]   Accuracy of coding for possible warfarin complications in hospital discharge abstracts [J].
Arnason, T. ;
Wells, P. S. ;
van Walraven, C. ;
Forster, A. J. .
THROMBOSIS RESEARCH, 2006, 118 (02) :253-262
[2]   Predictors of warfarin use in atrial fibrillation in the United States: a systematic review and meta-analysis [J].
Baczek, Victoria L. ;
Chen, Wendy T. ;
Kluger, Jeffrey ;
Coleman, Craig I. .
BMC FAMILY PRACTICE, 2012, 13
[3]   Long-term Thromboembolic Risk in Patients With Postoperative Atrial Fibrillation After Coronary Artery Bypass Graft Surgery and Patients With Nonvalvular Atrial Fibrillation [J].
Butt, Jawad H. ;
Xian, Ying ;
Peterson, Eric D. ;
Olsen, Peter Skov ;
Rorth, Rasmus ;
Gundlund, Anna ;
Olesen, Jonas B. ;
Gislason, Gunnar H. ;
Torp-Pedersen, Christian ;
Kober, Lars ;
Fosbol, Emil L. .
JAMA CARDIOLOGY, 2018, 3 (05) :417-424
[4]   Risk of stroke and other adverse outcomes in patients with perioperative atrial fibrillation 1 year after non-cardiac surgery [J].
Conen, David ;
Alonso-Coello, Pablo ;
Douketis, James ;
Chan, Matthew T., V ;
Kurz, Andrea ;
Sigamani, Alben ;
Parlow, Joel L. ;
Wang, Chew Yin ;
Villar, Juan C. ;
Srinathan, Sadeesh K. ;
Tiboni, Maria ;
Malaga, German ;
Guyatt, Gordon ;
Sivakumaran, Soori ;
Rodriguez Funes, Maria-Virginia ;
Cruz, Patricia ;
Yang, Homer ;
Dresser, George K. ;
Alvarez-Garcia, Jesus ;
Schricker, Thomas ;
Jones, Philip M. ;
Drummond, Leanne W. ;
Balasubramanian, Kumar ;
Yusuf, Salim ;
Devereaux, P. J. .
EUROPEAN HEART JOURNAL, 2020, 41 (05) :645-651
[5]   An automated database case definition for serious bleeding related to oral anticoagulant use [J].
Cunningham, Andrew ;
Stein, C. Michael ;
Chung, Cecilia P. ;
Daugherty, James R. ;
Smalley, Walter E. ;
Ray, Wayne A. .
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2011, 20 (06) :560-566
[6]  
Elixhauser A., 2015, Clinical Classifications Software (CCS)
[7]   A proportional hazards model for the subdistribution of a competing risk [J].
Fine, JP ;
Gray, RJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (446) :496-509
[8]   Impact of oral anticoagulation therapy on postoperative atrial fibrillation outcomes: a systematic review and meta-analysis [J].
Fragao-Marques, Mariana ;
Teixeira, Francisco ;
Mancio, Jennifer ;
Seixas, Nair ;
Rocha-Neves, Joao ;
Falcao-Pires, Ines ;
Leite-Moreira, Adelino .
THROMBOSIS JOURNAL, 2021, 19 (01)
[9]   Strategies for improving guideline adherence of anticoagulants for patients with atrial fibrillation in primary healthcare: A systematic review [J].
Gebreyohannes, Eyob Alemayehu ;
Mill, Deanna ;
Salter, Sandra ;
Chalmers, Leanne ;
Bereznicki, Luke ;
Lee, Kenneth .
THROMBOSIS RESEARCH, 2021, 205 :128-136
[10]   2020 Update to the 2016 ACC/AHA Clinical Performance and Quality Measures for Adults With Atrial Fibrillation or Atrial Flutter [J].
Heidenreich, Paul A. ;
Estes, N. A. Mark, III ;
Fonarow, Gregg C. ;
Jurgens, Corrine Y. ;
Kittleson, Michelle M. ;
Marine, Joseph E. ;
McManus, David D. ;
McNamara, Robert L. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2021, 77 (03) :326-341