Non-Vitamin K Antagonist Oral Anticoagulant Dosing in Patients With Atrial Fibrillation and Renal Dysfunction.

BACKGROUND Dose reduction of non-vitamin K antagonist oral anticoagulants (NOACs) is indicated in patients with atrial fibrillation (AF) with renal impairment. Failure to reduce the dose in patients with severe kidney disease may increase bleeding risk, whereas dose reductions without a firm indication may decrease the effectiveness of stroke prevention. OBJECTIVES The goal of this study was to investigate NOAC dosing patterns and associated outcomes, i.e., stroke (ischemic stroke and systemic embolism) and major bleeding in patients treated in routine clinical practice. METHODS Using a large U.S. administrative database, 14,865 patients with AF were identified who initiated apixaban, dabigatran, or rivaroxaban between October 1, 2010, and September 30, 2015. We examined use of a standard dose in patients with a renal indication for dose reduction (potential overdosing) and use of a reduced dose when the renal indication is not present (potential underdosing). Cox proportional hazards regression was performed in propensity score-matched cohorts to investigate the outcomes. RESULTS Among the 1,473 patients with a renal indication for dose reduction, 43.0% were potentially overdosed, which was associated with a higher risk of major bleeding (hazard ratio: 2.19; 95% confidence interval: 1.07 to 4.46) but no statistically significant difference in stroke (3 NOACs pooled). Among the 13,392 patients with no renal indication for dose reduction, 13.3% were potentially underdosed. This underdosing was associated with a higher risk of stroke (hazard ratio: 4.87; 95% confidence interval: 1.30 to 18.26) but no statistically significant difference in major bleeding in apixaban-treated patients. There were no statistically significant relationships in dabigatran- or rivaroxaban-treated patients without a renal indication. CONCLUSIONS In routine clinical practice, prescribed NOAC doses are often inconsistent with drug labeling. These prescribing patterns may be associated with worse safety with no benefit in effectiveness in patients with severe kidney disease and worse effectiveness with no benefit in safety in apixaban-treated patients with normal or mildly impaired renal function.

[1]  G. Breithardt,et al.  Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. , 2011, The New England journal of medicine.

[2]  J. Gagne,et al.  Prediction of rates of thromboembolic and major bleeding outcomes with dabigatran or warfarin among patients with atrial fibrillation: new initiator cohort study , 2016, British Medical Journal.

[3]  A. Camm,et al.  XANTUS: a real-world, prospective, observational study of patients treated with rivaroxaban for stroke prevention in atrial fibrillation , 2015, European heart journal.

[4]  Elizabeth A Stuart,et al.  Matching methods for causal inference: A review and a look forward. , 2010, Statistical science : a review journal of the Institute of Mathematical Statistics.

[5]  Apixaban versus Warfarin in Patients with Atrial Fibrillation , 2012 .

[6]  Emily C. O'Brien,et al.  Assessing generalizability of trial results in general practice. , 2016, European heart journal.

[7]  P. Wolf,et al.  Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. , 1991, Stroke.

[8]  K. Huybrechts,et al.  Safety and effectiveness of dabigatran and warfarin in routine care of patients with atrial fibrillation , 2015, Thrombosis and Haemostasis.

[9]  Nilay D Shah,et al.  Optum Labs: building a novel node in the learning health care system. , 2014, Health affairs.

[10]  P. Austin Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples , 2009, Statistics in medicine.

[11]  R. Porcher,et al.  Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study , 2012, Pharmaceutical statistics.

[12]  Leon Poller,et al.  Dabigatran versus warfarin in patients with atrial fibrillation. , 2009, The New England journal of medicine.

[13]  Sonal Singh,et al.  Risk of gastrointestinal bleeding associated with oral anticoagulants: population based retrospective cohort study , 2015, BMJ : British Medical Journal.

[14]  E. Stuart,et al.  Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies , 2015, Statistics in medicine.

[15]  G. Caleb Alexander,et al.  Effect of Adherence to Oral Anticoagulants on Risk of Stroke and Major Bleeding Among Patients With Atrial Fibrillation , 2016, Journal of the American Heart Association.

[16]  Hugh Calkins,et al.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. , 2014, Journal of the American College of Cardiology.

[17]  P. Grambsch,et al.  Proportional hazards tests and diagnostics based on weighted residuals , 1994 .

[18]  P. Austin,et al.  Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies , 2010, Pharmaceutical statistics.

[19]  C. Schmid,et al.  A new equation to estimate glomerular filtration rate. , 2009, Annals of internal medicine.

[20]  G. Lip,et al.  Effectiveness and safety of reduced dose non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study , 2017, British Medical Journal.

[21]  D. Singer,et al.  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 , 2013, Journal of the American Heart Association.

[22]  E. Antman,et al.  Edoxaban versus warfarin in patients with atrial fibrillation. , 2013, The New England journal of medicine.

[23]  M. Keltai,et al.  Efficacy of apixaban when compared with warfarin in relation to renal function in patients with atrial fibrillation: insights from the ARISTOTLE trial. , 2012, European heart journal.

[24]  V. Prasad,et al.  Prespecified falsification end points: can they validate true observational associations? , 2013, JAMA.

[25]  G. Lip,et al.  Real-world comparison of major bleeding risk among non-valvular atrial fibrillation patients initiated on apixaban, dabigatran, rivaroxaban, or warfarin , 2016, Thrombosis and Haemostasis.

[26]  A. Camm,et al.  Updated European Heart Rhythm Association Practical Guide on the use of non-vitamin K antagonist anticoagulants in patients with non-valvular atrial fibrillation. , 2015, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[27]  Ya-Hui Hsueh,et al.  Stroke, Bleeding, and Mortality Risks in Elderly Medicare Beneficiaries Treated With Dabigatran or Rivaroxaban for Nonvalvular Atrial Fibrillation. , 2016, JAMA internal medicine.

[28]  F. Dekker,et al.  Performance of the Cockcroft-Gault, MDRD, and new CKD-EPI formulas in relation to GFR, age, and body size. , 2010, Clinical journal of the American Society of Nephrology : CJASN.

[29]  E. Letavernier,et al.  GFR estimation using the Cockcroft-Gault, MDRD study, and CKD-EPI equations in the elderly. , 2012, American journal of kidney diseases : the official journal of the National Kidney Foundation.