Rivaroxaban Versus Warfarin in Patients With Nonvalvular Atrial Fibrillation and Severe Kidney Disease or Undergoina Hemodialysis

被引:96
作者
Coleman, Craig, I [1 ,2 ]
Kreutz, Reinhold [3 ]
Sood, Nitesh A. [4 ]
Bunz, Thomas J. [5 ]
Eriksson, Daniel [6 ]
Meinecke, Anna-Katharina [6 ]
Baker, William L. [1 ,2 ]
机构
[1] Univ Connecticut, Sch Pharm, Dept Pharm Practice, Storrs, CT 06269 USA
[2] Hartford Hosp, Evidence Based Practice Ctr, Hartford, CT 06115 USA
[3] Charite Univ Med Berlin, Inst Clin Pharmacol & Toxicol, Berlin, Germany
[4] Southcoast Hlth Syst, Dept Cardiac Electrophysiol, Fall River, MS USA
[5] New England Hlth Analyt LLC, Granby, CT USA
[6] Bayer AG, Real World Evidence Generat, Berlin, Germany
关键词
Atrial fibrillation; End-stage kindney disease; Hemodialysis; Oral anticoagulation; Rivaroxaban; Warfarin; TUTORIAL;
D O I
10.1016/j.amjmed.2019.04.013
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND: Patients with nonvalvular atrial fibrillation with stage 4 or 5 chronic kidney disease or undergoing hemodialysis were excluded from phase III randomized trials of nonvitamin K antagonist oral anticoagulants (NOACs). We sought to evaluate the effectiveness and safety of rivaroxaban compared with warfarin in patients with nonvalvular atrial fibrillation and stage 4 or 5 chronic kidney disease or undergoing hemodialysis in routine practice. METHODS: Using MarketScan data from January 2012 to December 2017, we identified patients on oral anticoagulant (OAC) with naive nonvalvular atrial fibrillation and stage 4 or 5 chronic kidney disease or undergoing hemodialysis and with >= 12 months of insurance coverage before OAC initiation. Differences in baseline covariates between the rivaroxaban and warfarin cohorts were adjusted using inverse probability-of-treatment weights based on propensity scores calculated using generalized boosted models and 10,000 regression trees (absolute standardized differences <0.1 achieved for all covariates after adjustment). Patients were followed until a stroke/systemic embolism or major bleeding event, OAC discontinuation/switch, insurance disenrollment, or end of data availability. Hazard ratios (HRs) and 95% confidence intervals (CIs) comparing the OAC cohorts were calculated using Cox regression. RESULTS: We identified 1896 rivaroxaban (38.7% received a dose <20 mg/d) and 4848 warfarin users. Eighty-eight percent of included patients had stage 5 chronic kidney disease or were undergoing hemodialysis. Rivaroxaban did not significantly reduce stroke or systemic embolism (HR = 0.55, 95% CI = 0.27-1.10) or ischemic stroke (HR = 0.67, 95% CI = 0.30-1.50) alone, but it was associated with a significant 32% (95% CI = 1-53%) reduction in major bleeding risk compared with warfarin. CONCLUSION: Among patients with nonvalvular atrial fibrillation and stage 4 or 5 chronic kidney disease or undergoing hemodialysis, rivaroxaban appears associated with significantly less major bleeding compared to warfarin. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:1078 / 1083
页数:6
相关论文
共 13 条
[1]  
[Anonymous], J AM COLL CARDIOL
[2]   A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality [J].
Austin, Peter C. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (01) :119-151
[3]   Risk factors for death, stroke, and bleeding in 28,628 patients from the GARFIELD-AF registry: Rationale for comprehensive management of atrial fibrillation [J].
Bassand, Jean-Pierre ;
Accetta, Gabriele ;
Al Mahmeed, Wael ;
Corbalan, Ramon ;
Eikelboom, John ;
Fitzmaurice, David A. ;
Fox, Keith A. A. ;
Gao, Haiyan ;
Goldhaber, Samuel Z. ;
Goto, Shinya ;
Haas, Sylvia ;
Kayani, Gloria ;
Pieper, Karen ;
Turpie, Alexander G. G. ;
van Eickels, Martin ;
Verheugt, Freek W. A. ;
Kakkar, Ajay K. ;
Camm, A. John ;
Hacke, Werner ;
Mantovani, Lorenzo G. ;
Misselwitz, Frank ;
Pieper, Karen S. ;
Lucas Luciardi, Hector ;
Gibbs, Harry ;
Brodmann, Marianne ;
Cools, Frank ;
Pereira Barretto, Antonio Carlos ;
Connolly, Stuart J. ;
Spyropoulos, Alex ;
Hu, Dayi ;
Jansky, Petr ;
Nielsen, Jorn Dalsgaard ;
Ragy, Hany ;
Raatikainen, Pekka ;
Le Heuzey, Jean-Yves ;
Darius, Harald ;
Keltai, Matyas ;
Kakkar, Sanjay ;
Sawhney, Jitendra Pal Singh ;
Agnelli, Giancarlo ;
Ambrosio, Giuseppe ;
Koretsune, Yukihiro ;
Sanchez Diaz, Carlos Jerjes ;
Ten Cate, Hugo ;
Atar, Dan ;
Stepinska, Janina ;
Panchenko, Elizaveta ;
Lim, Toon Wei ;
Jacobson, Barry ;
Oh, Seil .
PLOS ONE, 2018, 13 (01)
[4]   The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement [J].
Benchimol, Eric I. ;
Smeeth, Liam ;
Guttmann, Astrid ;
Harron, Katie ;
Moher, David ;
Petersen, Irene ;
Sorensen, Henrik T. ;
von Elm, Erik ;
Langan, Sinead M. .
PLOS MEDICINE, 2015, 12 (10)
[5]   Toward a standard definition and measurement of persistence with drug therapy: Examples from research on statin and antihypertensive utilization [J].
Caetano, Patricia A. ;
Lam, Jonathan M. C. ;
Morgan, Steven G. .
CLINICAL THERAPEUTICS, 2006, 28 (09) :1411-1424
[6]   Dabigatran and Rivaroxaban Use in Atrial Fibrillation Patients on Hemodialysis [J].
Chan, Kevin E. ;
Edelman, Elazer R. ;
Wenger, Julia B. ;
Thadhani, Ravi I. ;
Maddux, Franklin W. .
CIRCULATION, 2015, 131 (11) :972-979
[7]   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
[8]  
Gandhi S.K., 1999, J MANAGE CARE PHARM, V5, P215, DOI DOI 10.18553/JMCP.1999.5.3.215
[9]  
Hansen L., 2018, The Truven Health MarketScan databases for life sciences researchers
[10]   A tutorial on propensity score estimation for multiple treatments using generalized boosted models [J].
McCaffrey, Daniel F. ;
Griffin, Beth Ann ;
Almirall, Daniel ;
Slaughter, Mary Ellen ;
Ramchand, Rajeev ;
Burgette, Lane F. .
STATISTICS IN MEDICINE, 2013, 32 (19) :3388-3414