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. 2018 Sep;24(9):10.18553/jmcp.2018.24.9.911. doi: 10.18553/jmcp.2018.24.9.911

A Real-World Observational Study of Hospitalization and Health Care Costs Among Nonvalvular Atrial Fibrillation Patients Prescribed Oral Anticoagulants in the U.S. Medicare Population

Alpesh Amin 1,*, Allison Keshishian 2, Jeffrey Trocio 3, Oluwaseyi Dina 3, Hannah Le 4, Lisa Rosenblatt 4, Xianchen Liu 3, Jack Mardekian 3, Qisu Zhang 2, Onur Baser 5, Anagha Nadkarni 4, Lien Vo 4
PMCID: PMC10398085  PMID: 30156450

Abstract

This article has been corrected. Please see J Manag Care Spec Pharm, 2020;26(5):682

BACKGROUND:

Clinical trials have shown that direct oral anticoagulants (DOACs)—including dabigatran, rivaroxaban, apixaban, and edoxaban—are at least as effective and safe as warfarin for the risk of stroke/systemic embolism (SE) and major bleeding (MB) in patients with atrial fibrillation (AF). However, few studies have compared oral anticoagulants (OACs) among elderly patients.

OBJECTIVE:

To compare hospitalization risks (all-cause, stroke/SE-related, and MB-related) and associated health care costs among elderly nonvalvular AF (NVAF) patients in the Medicare population who initiated warfarin, dabigatran, rivaroxaban, or apixaban.

METHODS:

Patients (aged ≥ 65 years) initiating warfarin or DOACs (apixaban, rivaroxaban, and dabigatran) were selected from the Centers for Medicare & Medicaid Services database from January 1, 2013, to December 31, 2014. Patients initiating each OAC were matched 1:1 to apixaban patients using propensity score matching to balance demographic and clinical characteristics. Cox proportional hazards models were used to estimate the risk of hospitalization of each OAC versus apixaban. Generalized linear models and two-part models with bootstrapping were used to compare all-cause health care costs and stroke/SE- and MB-related medical costs between matched cohorts.

RESULTS:

Of the 186,132 eligible patients, 41,606 warfarin-apixaban, 30,836 dabigatran-apixaban, and 41,608 rivaroxaban-apixaban pairs were matched. The OACs were associated with a significantly higher risk of all-cause hospitalization compared with apixaban (warfarin: HR = 1.33, 95% CI = 1.27-1.38, P < 0.001; dabigatran: HR = 1.17, 95% CI = 1.11-1.23, P < 0.001; and rivaroxaban: HR = 1.27, 95% CI = 1.22-1.32, P < 0.001) and were associated with a significantly higher risk of hospitalization due to stroke/SE (warfarin: HR = 2.51, 95% CI = 1.92-3.29, P < 0.001; dabigatran: HR = 2.24, 95% CI = 1.60-3.13, P < 0.001; and rivaroxaban: HR = 1.74, 95% CI = 1.31-2.30, P < 0.001). Also, the OACs were associated with significantly higher risk of hospitalization due to MB-related conditions compared with apixaban (warfarin: HR = 1.96, 95% CI = 1.71-2.23, P < 0.001; dabigatran: HR = 1.48; 95% CI = 1.25-1.76, P < 0.001; and rivaroxaban: HR = 2.17, 95% CI = 1.91-2.48, P < 0.001). Compared with apixaban, warfarin ($3,747 vs. $3,061, P < 0.001); dabigatran ($3,230 vs. $2,951, P < 0.001); and rivaroxaban ($3,950 vs. $3,060, P < 0.001) had significantly higher all-cause total health care costs per patient per month. Patients initiating the OACs also had significantly higher stroke/SE- and MB-related medical costs compared with apixaban: warfarin (stroke/SE = $135 vs. $60, P = 0.001; MB = $537 vs. $286, P < 0.001); dabigatran (stroke/SE = $94 vs. $62, P = 0.045; MB = $373 vs. $277, P = 0.010); and rivaroxaban (stroke/SE = $91 vs. $60, P = 0.008; MB = $524 vs. $287, P < 0.001).

CONCLUSIONS:

This real-world study showed that among elderly NVAF patients in the Medicare population, apixaban was associated with significantly lower risks of all-cause, stroke/SE-related, and MB-related hospitalizations compared with warfarin, dabigatran, and rivaroxaban. Accordingly, apixaban showed significantly lower all-cause health care costs and stroke/SE- and MB-related medical costs.


What is already known about this subject

  • Clinical trials have shown that direct oral anticoagulants (DOACs) are at least as effective as warfarin for stroke risk reduction and are associated with similar or lower rates of major bleeding (MB) in patients with atrial fibrillation.

  • Several real-world studies have compared the risks of stroke and MB between DOACs and warfarin in various databases; however, few real-world comparisons are available between DOACs.

What this study adds

  • In the elderly Medicare population, apixaban initiation was associated with significantly lower risks of all-cause, stroke/systemic embolism (SE)-related, and MB-related hospitalizations compared with warfarin, dabigatran, or rivaroxaban initiation.

  • The all-cause health care costs and stroke/SE- and MB-related medical costs were significantly higher for dabigatran, rivaroxaban, or warfarin initiators compared with apixaban initiators.

Atrial fibrillation (AF) is the most common sustained heart arrhythmia and is estimated to affect approximately 9% of the population aged ≥ 65 years in the United States.1,2 The presence of AF increases the relative risk of stroke by 5-fold, with attributable risk increasing from 4.6% among patients aged 50-59 years to over 20% among those aged 80-89 years.3 AF’s annual national incremental costs were estimated at $26 million compared with patients without AF, and hospitalizations were the primary cost driver.4 For Medicare beneficiaries, AF onset leads to an adjusted mean incremental treatment cost of $14,199 per patient per year.5

Warfarin, a vitamin K antagonist in use since the 1950s, has been proven to reduce ischemic and hemorrhagic stroke by 64% compared with placebo.6 However, the narrow therapeutic window managed by the international normalized ratio and increased risk of bleeding have hindered the proper use of warfarin, especially in the elderly population.2 Several new direct oral anticoagulants (DOACs) targeting key coagulation factors—including dabigatran, rivaroxaban, apixaban, and edoxaban—have been approved for stroke risk reduction in nonvalvular AF (NVAF) in recent years. Additionally, DOACs have demonstrated to be at least as effective as warfarin for the risk reduction of stroke and systemic embolism (SE) and are associated with similar or lower rates of major bleeding (MB).7-10 While there are NVAF trials of DOACs versus warfarin, there are no head-to-head clinical trials comparing DOACs to each other. A few real-world studies have examined the risk of hospitalizations due to stroke/SE and MB among OACs. However, there is a dearth of real-world data for all-cause hospitalizations and health care costs.11 Although warfarin has a lower pharmacy cost, using data from clinical trials and a Markov decision analysis model, apixaban, dabigatran, and rivaroxaban have shown to be more cost-effective than warfarin.12 Real-world studies comparing health care costs among NVAF patients have also shown that apixaban patients had lower hospitalization costs compared with warfarin patients.13,14

The objective of this study was to compare the risk of hospitalizations (all-cause, stroke/SE-related, and MB-related) and associated health care costs among elderly NVAF patients who initiated warfarin, dabigatran, rivaroxaban, or apixaban in the Medicare population.

Methods

Data Source

This real-world retrospective database analysis used data from the Centers for Medicare & Medicaid Services from January 1, 2012, to December 31, 2014. Medicare is the federal health insurance program for people aged ≥ 65 years, certain younger people with disabilities, and people with end-stage renal disease (permanent kidney failure requiring dialysis or a transplant). The database includes around 38 million fee-for-service beneficiaries.15 It contains medical and pharmacy claims from 100% national Medicare data, which includes hospital inpatient, outpatient, Medicare carrier, Part D pharmacy, skilled nursing facility, home health agency, and durable medical equipment files. Medical claims were obtained through the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis and procedure codes, as well as Health Care Common Procedure Coding System and Current Procedural Terminology codes. Pharmacy claims were obtained through National Drug Code numbers. The comparative effectiveness research methods guidance documents aided researchers in designing the study.16-19

Patient Selection

OAC treatment-naive patients were included in the study if they had ≥ 1 prescription claim for apixaban, dabigatran, rivaroxaban, or warfarin during the identification period (January 1, 2013-December 31, 2014). Edoxaban was approved by the U.S. Food and Drug Administration in 2015; therefore, it was not included in our study. The first OAC pharmacy claim date was designated as the index date. Patients were required to be aged ≥ 65 years on the index date, have ≥ 1 AF medical claim (ICD-9-CM code 427.31), and have continuous health plan enrollment with medical and pharmacy benefits for 12 months before the index date (baseline period).20

Patients were excluded if they had evidence of rheumatic mitral valvular heart disease, mitral valve stenosis, heart valve replacement or surgery; transient AF (pericarditis, hyperthyroidism, and thyrotoxicity), venous thromboembolism, or an OAC pharmacy claim during the 12-month baseline period; pregnancy during the study period; or > 1 OAC prescription claim on the index date.

Patients were followed from the index date until the earliest of the OAC prescription discontinuation date, switch date from index drug to another OAC, date of death, date of health plan disenrollment, or December 31, 2014. Discontinuation was defined as no evidence of an index prescription for 30 days from the last day of the supply of the last filled prescription (discontinuation date). Switching was defined as having a prescription for an OAC other than the index drug within 30 days before or after the discontinuation date.21

Outcomes

The primary outcomes were likelihood of all-cause hospitalization, hospitalization due to stroke/SE, hospitalization due to MB-related conditions, and health care costs, including all-cause health care, all-cause medical, all-cause pharmacy, all-cause hospitalization, all-cause emergency room (ER)/outpatient, stroke/SE-related medical, and MB-related medical costs.

Stroke/SE and MB hospitalization events were identified using hospital claims that had a stroke/SE or MB code as the primary discharge diagnosis.22 The ICD-9-CM codes used for stroke and MB were based on a validated administrative claims-based algorithm as well as the clinical trial definition of stroke and MB.7,23,24 Stroke/SE was stratified by ischemic stroke, hemorrhagic stroke, and SE; MB was stratified by gastrointestinal bleeding, intracranial hemorrhage, and other MB.

Stroke/SE-related medical costs were defined as hospitalization costs associated with the first stroke/SE event plus all subsequent stroke/SE costs occurring in the inpatient or outpatient setting (primary or secondary diagnosis) after the first stroke/SE during the follow-up. MB-related medical costs were defined as the hospitalization costs associated with the first MB event plus all subsequent MB costs occurring in the inpatient or outpatient setting (primary or secondary diagnosis) after the first MB during the follow-up. Costs included all paid amounts, including Medicare payments, copayments, and deductibles incurred during the follow-up period. All-cause medical costs represent the sum of reimbursed costs for inpatient, outpatient (office, ER, and other outpatient costs), and other costs (durable medical equipment, skilled nursing facility, home health agency, and hospice costs); total health care costs represent the sum of medical and pharmacy costs. All cost outcomes were measured per patient per month (PPPM) and adjusted to 2014 U.S. dollars using the Consumer Price Index for medical care services.

Baseline Variables

Patient demographics (age, sex, and U.S. geographic region) and clinical characteristics (Charlson Comorbidity Index [CCI] score, CHADS2 score, CHA2DS2-VASc score, HAS-BLED score, comorbid conditions, and comedication use), as well as health care resource utilization, were assessed during the baseline period. The CHA2DS2-VASc stroke risk score was calculated using ICD-9-CM codes in the claims data as the summed total of the points determined for each diagnosis or characteristic and based on the CHADS2 score (congestive heart failure, hypertension, aged > 75 years, diabetes mellitus, prior stroke or transient ischemic attack or thromboembolism) plus vascular disease, aged 65-74 years, and sex.25 The HAS-BLED bleeding risk score was based on evidence of hypertension, abnormal kidney or liver function, stroke, bleeding, aged > 65 years, and drugs/alcohol abuse or dependence.26

Statistical Methods

All study variables were analyzed descriptively in each cohort, using apixaban as the reference. Means and standard deviations were reported for continuous variables, and student’s t-tests were used to detect differences. Percentages were reported for categorical variables, and chi-square tests were used to detect differences in these variables. A P value of 0.05 was used as the threshold for statistical significance.

Propensity score matching (PSM) was conducted to balance identified baseline demographics and clinical characteristics when comparing apixaban to dabigatran, rivaroxaban, or warfarin. Patients were matched 1:1 on the propensity scores generated by multivariable logistic regressions based on age, sex, geographic region, CCI score, CHA2DS2-VASc score, HAS-BLED score, prior bleed and stroke, comorbidities, baseline comedications, and baseline hospitalization. The covariates included in the PSM were determined based on clinical rationale. Nearest neighbor without replacement with a caliper of 0.01 was used to match the patients.27 The balance of covariates was checked based on standardized differences with a threshold of 10%.28

The incidence rates of hospitalization (all-cause, stroke-related, and MB-related) in the matched cohorts were calculated using the number of hospitalized patients divided by total person-years of exposure and multiplied by 100. Cox proportional hazards regression models were used to assess the likelihood of all-cause hospitalization, hospitalization due to stroke/SE, and hospitalization due to MB-related conditions in patients treated with other OACs relative to apixaban.27 Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for each outcome of interest.

Generalized linear models with log-link and a gamma distribution were used for the analysis of health care costs among the cohorts.29 Additionally, two-part models with bootstrapping were used in the analysis of MB- and stroke-related medical costs, given the high proportion of cost fields with 0 values. The marginal effect of costs, 95% CIs, and P values for each matched cohort were reported.

Sensitivity Analyses

Three sensitivity analyses were conducted. First, for the DOAC cohorts, standard-dose (dabigatran 150 mg, rivaroxaban 20 mg, and apixaban 5 mg) and reduced-dose (dabigatran 75 mg, rivaroxaban 10 mg/15 mg, and apixaban 2.5 mg) cohorts were created based on the index dosage. Each patient initiating warfarin was assigned to one of the 2 subgroups according to the dose of the matched DOAC patient (standard and low dose). The balance of baseline characteristics was tested in each subgroup; when imbalance was detected (standardized difference > 10%), the variable was included in the multivariate model. Risk of hospitalization (all-cause health care, stroke-related, and MB-related) was compared between the study cohorts, and the statistical significance of the interaction between treatments and subgroups was evaluated.

Second, patients were censored at 6 months to create a more balanced length of follow-up between the treatment groups. Third, only patients with ≥ 30 days of follow-up were evaluated to exclude patients with too short of a follow-up to develop any stroke/SE or MB event. The second and third analyses were to help address the more recent approval of apixaban relative to dabigatran and rivaroxaban.

Results

After applying the selection criteria, a total of 186,132 patients were identified: 95,390 warfarin, 16,743 dabigatran, 53,146 rivaroxaban, and 20,853 apixaban patients (Figure 1). Before matching, patients prescribed warfarin were older and had poorer health status compared with apixaban patients, and apixaban patients were older with poorer health status compared with dabigatran and rivaroxaban patients (Appendix A, available in online article). After 1:1 PSM, 41,606 warfarin-apixaban, 30,836 dabigatran-apixaban, and 41,608 rivaroxaban-apixaban matched patients were included in the study (Table 1). Patients were followed for a median of 122 and 115 days for warfarin-apixaban cohorts, 113 and 115 days for dabigatran-apixaban cohorts, and 133 and 115 days for rivaroxaban-apixaban cohorts, respectively.

FIGURE 1.

FIGURE 1

Patient Selection Criteria

TABLE 1.

PSM-Adjusted Baseline Characteristics and Outcomes

Apixaban Cohort n = 20,803 Warfarin Cohort n = 20,803 Apixaban Cohort n = 15,418 Dabigatran Cohort n = 15,418 Apixaban Cohort n = 20,804 Rivaroxaban Cohort n = 20,804
n/mean %/SD n/mean %/SD n/mean %/SD n/mean %/SD n/mean %/SD n/mean %/SD
Age (years) 78.4 7.4 78.1 7.5 77.6 7.2 77.5 7.0 78.4 7.4 78.3 7.4
  65-74 7,214 34.7% 7,506 36.1% 5,957 38.6% 5,951 38.6% 7,239 34.8% 7,149 34.4%
  75-84 8,830 42.4% 8,660 41.6% 6,599 42.8% 6,613 42.9% 8,833 42.5% 8,903 42.8%
  ≥ 85 4,759 22.9% 4,637 22.3% 2,862 18.6% 2,854 18.5% 4,732 22.7% 4,752 22.8%
Gender
  Male 9,919 47.7% 9,971 47.9% 7,610 49.4% 7,643 49.6% 9,927 47.7% 9,910 47.6%
  Female 10,884 52.3% 10,832 52.1% 7,808 50.6% 7,775 50.4% 10,877 52.3% 10,894 52.4%
U.S. geographic region
  Northeast 3,596 17.3% 3,918 18.8% 2,906 18.8% 2,949 19.1% 3,595 17.3% 3,513 16.9%
  North Central 4,220 20.3% 6,079 29.2% 3,420 22.2% 3,420 22.2% 4,221 20.3% 4,260 20.5%
  South 9,377 45.1% 7,300 35.1% 6,201 40.2% 6,163 40.0% 9,375 45.1% 9,440 45.4%
  West 3,595 17.3% 3,491 16.8% 2,879 18.7% 2,878 18.7% 3,601 17.3% 3,583 17.2%
  Other 15 0.1% 15 0.1% 12 0.1% 8 0.1% 12 0.1% 8 0.0%
Baseline comorbidity
  Baseline Charlson Comorbidity Index score 2.8 2.6 2.9 2.6 2.6 2.4 2.6 2.5 2.8 2.6 2.8 2.6
    0-1 7,932 38.1% 7,372 35.4% 6,373 41.3% 6,312 40.9% 7,967 38.3% 7,852 37.7%
    2-3 6,292 30.3% 6,534 31.4% 4,695 30.5% 4,721 30.6% 6,293 30.3% 6,386 30.7%
    ≥ 4 6,579 31.6% 6,897 33.2% 4,350 28.2% 4,385 28.4% 6,544 31.5% 6,566 31.6%
  Baseline CHADS2 scorea 2.8 1.4 2.8 1.4 2.7 1.4 2.7 1.4 2.8 1.4 2.8 1.4
    0 = low risk 625 3.0% 575 2.8% 547 3.5% 546 3.5% 626 3.0% 585 2.8%
    1 = moderate risk 3,411 16.4% 3,378 16.2% 2,775 18.0% 2,774 18.0% 3,433 16.5% 3,372 16.2%
    2 = high risk 6,042 29.0% 5,817 28.0% 4,620 30.0% 4,576 29.7% 6,047 29.1% 6,056 29.1%
    ≥ 2 = high risk 10,725 51.6% 11,033 53.0% 7,476 48.5% 7,522 48.8% 10,698 51.4% 10,791 51.9%
  Baseline CHA2DS2-VASc scoreb 4.6 1.7 4.7 1.7 4.5 1.7 4.5 1.7 4.6 1.7 4.6 1.7
    0 = low risk 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
    1 = moderate risk 318 1.5% 264 1.3% 285 1.8% 275 1.8% 318 1.5% 299 1.4%
    2 = high risk 1,787 8.6% 1,791 8.6% 1,501 9.7% 1,534 9.9% 1,803 8.7% 1,782 8.6%
    ≥ 2 = high risk 18,698 89.9% 18,748 90.1% 13,632 88.4% 13,609 88.3% 18,683 89.8% 18,723 90.0%
  Baseline HAS-BLED scorec 3.3 1.2 3.3 1.2 3.1 1.2 3.2 1.2 3.3 1.2 3.3 1.2
    0 = low risk 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
    1-2 = moderate risk 5,963 28.7% 5,521 26.5% 5,103 33.1% 5,056 32.8% 5,966 28.7% 5,868 28.2%
    ≥ 2 = high risk 14,840 71.3% 15,282 73.5% 10,315 66.9% 10,362 67.2% 14,838 71.3% 14,936 71.8%
Baseline prior bleed 4,548 21.9% 4,731 22.7% 3,081 20.0% 3,090 20.0% 4,542 21.8% 4,664 22.4%
Baseline prior stroke 2,686 12.9% 2,872 13.8% 1,827 11.8% 1,852 12.0% 2,675 12.9% 2,649 12.7%
Congestive heart failure 6,388 30.7% 6,698 32.2% 4,425 28.7% 4,459 28.9% 6,356 30.6% 6,371 30.6%
Diabetes 7,341 35.3% 7,467 35.9% 5,582 36.2% 5,560 36.1% 7,331 35.2% 7,374 35.4%
Hypertension 18,782 90.3% 18,980 91.2% 13,705 88.9% 13,727 89.0% 18,782 90.3% 18,848 90.6%
Renal disease 4,977 23.9% 5,312 25.5% 3,139 20.4% 3,130 20.3% 4,939 23.7% 4,865 23.4%
Myocardial infarction 2,659 12.8% 2,844 13.7% 1,696 11.0% 1,731 11.2% 2,649 12.7% 2,676 12.9%
Dyspepsia or stomach discomfort 4,640 22.3% 4,815 23.1% 3,166 20.5% 3,209 20.8% 4,637 22.3% 4,585 22.0%
Peripheral vascular disease 12,286 59.1% 12,617 60.6% 8,513 55.2% 8,483 55.0% 12,289 59.1% 12,298 59.1%
Transient ischemic attack 1,769 8.5% 1,842 8.9% 1,177 7.6% 1,180 7.7% 1,767 8.5% 1,749 8.4%
Coronary artery disease 10,758 51.7% 11,086 53.3% 7,357 47.7% 7,341 47.6% 10,760 51.7% 10,747 51.7%
Baseline medication use
  Angiotensin-converting enzyme inhibitor 7,420 35.7% 7,452 35.8% 5,710 37.0% 5,772 37.4% 7,431 35.7% 7,426 35.7%
  Amiodarone 2,171 10.4% 2,158 10.4% 1,379 8.9% 1,396 9.1% 2,185 10.5% 2,202 10.6%
  Angiotensin receptor blocker 5,558 26.7% 5,660 27.2% 3,934 25.5% 3,949 25.6% 5,576 26.8% 5,667 27.2%
Baseline medication use
  Beta blockers 11,880 57.1% 12,273 59.0% 8,507 55.2% 8,508 55.2% 11,887 57.1% 11,889 57.1%
  H2-receptor antagonist 1,446 7.0% 1,546 7.4% 1,007 6.5% 1,013 6.6% 1,444 6.9% 1,427 6.9%
  Proton pump inhibitor 6,907 33.2% 7,104 34.1% 4,714 30.6% 4,742 30.8% 6,913 33.2% 6,875 33.0%
  Antiplatelets 4,100 19.7% 4,196 20.2% 2,492 16.2% 2,480 16.1% 4,114 19.8% 4,065 19.5%
  Statins 12,791 61.5% 13,075 62.9% 9,064 58.8% 9,060 58.8% 12,797 61.5% 12,818 61.6%
Index drug dosed
  Standard dose 14,980 72.0% 11,584 75.1% 12,139 78.7% 15,007 72.1% 13,009 62.5%
  Low dose 5,838 28.1% 3,843 24.9% 3,282 21.3% 5,812 27.9% 7,835 37.7%
Follow-up time (days) 171 153 196 184 172 154 196 192 171 153 205 191
  Median 115 122 115 113 115 133
Switch during follow-up 914 4.4% 1,364 6.6% 696 4.5% 1,798 11.7% 913 4.4% 1,342 6.5%

aCHADS2: congestive heart failure, hypertension, aged ≥ 75 years, diabetes mellitus, prior stroke, transient ischemic attack, or venous thromboembolism.

bCHA2DS2-VASc: congestive heart failure, hypertension, aged ≥ 75 years, diabetes mellitus, prior stroke or transient ischemic attack or thromboembolism, vascular disease, aged 65-74 years, sex category.

cHAS-BLED: hypertension, abnormal renal and liver function, stroke, bleeding, labile international normalized ratios, elderly, drugs and alcohol.

dStandard dose: 5 mg twice a day apixaban, 150 mg twice a day dabigatran, 20 mg every day rivaroxaban; low dose: 2.5 mg twice a day apixaban, 75 mg twice a day dabigatran, 10 mg or 15 mg every day rivaroxaban.

PSM = propensity score matching; SD = standard deviation.

Baseline Characteristics

In the 3 postmatching cohorts, the mean age was around 78 years. The dabigatran-apixaban patients had the lowest mean CCI score (2.6), followed by rivaroxaban-apixaban (2.8) and warfarin-apixaban (2.9 and 2.8) patients. The CHA2DS2-VASc scores ranged from 4.5 to 4.7 across the cohorts. About 20% of all matched patients had baseline bleeding, and more than 10% had baseline stroke/SE (Table 1).

Hospitalization: All-Cause, Stroke/SE, and MB

Incidence of all-cause hospitalizations and hospitalizations related to MB and stroke/SE are shown in Figure 2.

FIGURE 2.

FIGURE 2

Hazard Ratios of All-Cause Hospitalization, Hospitalization Due to Stroke/SE, and Hospitalization Due to Major Bleeding for Propensity Score-Matched Patients

After PSM, OAC patients were significantly more likely to have an all-cause hospitalization compared with apixaban patients (warfarin: HR = 1.33, 95% CI = 1.27-1.38; dabigatran: HR = 1.17, 95% CI = 1.11-1.23; and rivaroxaban: HR = 1.27, 95% CI = 1.22-1.32).

Warfarin, dabigatran, and rivaroxaban treatment were each associated with a significantly higher likelihood of having a hospitalization due to stroke/SE compared with apixaban treatment (warfarin: HR = 2.51, 95% CI = 1.92-3.29; dabigatran: HR = 2.24, 95% CI = 1.60-3.13; and rivaroxaban: HR = 1.74, 95% CI = 1.31-2.30). They were also associated with a significantly higher risk of hospitalization due to MB-related conditions compared with apixaban treatment (warfarin: HR = 1.96, 95% CI = 1.71-2.23; dabigatran: HR = 1.48, 95% CI = 1.25-1.76; and rivaroxaban: HR = 2.17, 95% CI = 1.91-2.48).

Health Care Costs

Patients prescribed warfarin, dabigatran, and rivaroxaban had significantly higher all-cause total health care costs PPPM compared with apixaban patients (Table 2). Inpatient and outpatient costs were the main drivers for health care costs.

TABLE 2.

Adjusted Health Care Cost Comparisons

PPPM Costsa Apixaban Cohort (n = 20,803) Warfarin Cohort (n = 20,803) Apixaban Cohort (n = 15,418) Dabigatran Cohort (n = 15,418) Apixaban Cohort (n = 20,804) Rivaroxaban Cohort (n = 20,804)
Marginal Effect ($) Marginal Effect ($) P Value Marginal Effect ($) Marginal Effect ($) P Value Marginal Effect ($) Marginal Effect ($) P Value
All-cause ER/outpatient medical costs 886 1,025 < 0.001 872 886 0.517 887 981 0.001
All-cause hospitalization medical costs 1,101 1,692 < 0.001 1,036 1,294 < 0.001 1,101 1,669 < 0.001
All-cause medical costsb 2,328 3,379 < 0.001 2,224 2,583 < 0.001 2,326 3,285 < 0.001
Pharmacy costs 733 368 < 0.001 727 647 < 0.001 733 665 < 0.001
All-cause health care costsb 3,061 3,747 < 0.001 2,951 3,230 < 0.001 3,060 3,950 < 0.001

aGeneralized linear models were used for the analysis of all-cause health care costs.

bAll-cause medical costs include all-cause ER/outpatient and hospitalization medical costs; all-cause health care costs include all-cause medical and pharmacy costs.

ER = emergency room; PPPM = per patient per month.

Warfarin, dabigatran, and rivaroxaban patients had significantly higher stroke/SE- and MB-related medical costs compared with apixaban patients (Figure 3).

FIGURE 3.

FIGURE 3

Comparisons of Stroke/SE-Related and MB-Related Medical Costs PPPM for Propensity Score-Matched Patients

Subgroup and Sensitivity Analyses Results

Results of the subgroup and sensitivity analyses were generally consistent with those of the main analysis (Appendix B, available in online article). A significant interaction was found for dose and all-cause hospitalization among apixaban and warfarin patients (P < 0.001). Warfarin was associated with a higher risk of all-cause hospitalization compared with both standard-dose and low-dose apixaban, with a difference in magnitude. No other interactions were significant. The other sensitivity analyses were consistent with the main analysis.

Discussion

Using national Medicare data, we found that NVAF patients initiating warfarin, dabigatran, or rivaroxaban had a higher risk of all-cause, stroke/SE-related, and MB-related hospitalization compared with patients initiating apixaban. In addition, patients initiating warfarin, dabigatran, and rivaroxaban had significantly higher all-cause, MB-related, and stroke/SE-related health care costs compared with patients initiating apixaban.

The ARISTOTLE trial demonstrated a significantly lower risk of stroke/SE (HR = 0.79, 95% CI = 0.66-0.95, P = 0.01) and MB (HR = 0.69, 95% CI = 0.60-0.80, P < 0.001) for apixaban patients compared with warfarin patients, which is consistent with our results.7,30 In addition to clinical trials, a few observational studies comparing apixaban and warfarin have added real-world evidence in different patient populations.22,31-34 In a study of OptumLabs data by Yao et al. (2016), apixaban users had a 33% lower risk of stroke/SE and 55% lower risk of MB compared with warfarin.31 In a study of 4 pooled datasets by Li et al. (2017), apixaban demonstrated lower risks of stroke/SE (HR = 0.67, 95% CI = 0.59-0.76) and MB (HR = 0.60, 95% CI = 0.54-0.65) compared with warfarin.32

Although no head-to-head DOAC clinical trials are available, several real-world studies have compared the risks of stroke/SE and MB among dabigatran, rivaroxaban, and apixaban.33,35 In our analysis, apixaban had a lower risk of hospitalization due to stroke/SE and MB compared with the other DOACs. In a study of the MarketScan population by Lip et al. (2016), patients who initiated dabigatran had a numerically higher risk of MB, and those who initiated rivaroxaban had a significantly higher risk of MB compared with those who initiated apixaban.33 In Noseworthy et al. (2016), apixaban demonstrated a significantly lower risk of MB and a numerically lower risk of stroke/SE compared with dabigatran and rivaroxaban.35 However, we found in our study that dabigatran and rivaroxaban patients had a statistically significantly higher risk of both stroke/SE and MB than apixaban, which may be due to the larger sample size and hence increased power and different study populations.

The results of the sensitivity analyses showed consistent results with the primary analysis, which showed that standard-dose or low-dose apixaban was associated with a lower risk of all-cause, stroke/SE-related, and MB-related hospitalization compared with other OACs.

There are a few economic studies that have compared apixaban to warfarin, dabigatran, and rivaroxaban among NVAF patients. In studies using IMS PharMetrics Plus, Humana, and Optum claims databases, warfarin patients had significantly higher total all-cause health care costs, stroke/SE-related costs, and MB-related medical costs compared with apixaban.22,36-38 In Amin et al.’s (2013) observational claims database study, patients treated with apixaban versus warfarin had medical cost reductions of $493 for stroke, $752 for MB (excluding intracranial hemorrhage), and $1,245 for the combined outcome of both events.39 In claims studies comparing rivaroxaban and apixaban, rivaroxaban patients had higher all-cause hospitalization costs, all-cause health care costs, and MB-related medical costs compared with apixaban.22,36,37 Dabigatran patients were associated with similar stroke/SE- and MB-related medical costs and similar or higher all-cause health care costs compared with apixaban.22,36,37 In Deitelzweig et al.’s (2016) study comparing the all-cause hospitalization readmission costs of DOACs, rivaroxaban had significantly higher costs compared with apixaban (difference: $413; P = 0.003), and dabigatran had numerically higher costs versus apixaban ($142; P = 0.31).40 These studies are generally aligned with our findings on health care costs associated with apixaban relative to other oral anticoagulants.

Limitations

This study has several limitations. Given the nature of retrospective observational studies, only associations were assessed, and no causality can be concluded. This database contains information from the Medicare population and may not be generalizable to the entire U.S. population of NVAF patients. Additionally, administrative claims data are primarily collected for billing purposes rather than research, and the analysis is constrained by codes that may contain coding errors and missing data. In addition, the cause of stroke/SE and major bleeding is not available in the claims data. Moreover, unobserved confounders such as compliance, AF duration, and over-the-counter aspirin use may exist for which the analysis did not control. Nevertheless, we used PSM to balance observed demographics and clinical characteristics. The follow-up time was short, not uniform, and was not consistent with the clinical trials. Therefore, the sensitivity analysis with patients censored at 6 months was conducted to address the issue of imbalanced follow-up times. Sensitivity analysis results for MB and stroke/SE were consistent with those in the main analysis. Finally, the interpretation of stroke/SE-related outcomes should be carefully considered because of the low number of stroke/SE events.

Conclusions

This real-world observational study is one of the largest that has compared the risks of stroke/SE and MB and the associated health care costs between OACs in elderly NVAF patients.

In this study, apixaban was associated with significantly lower risks of all-cause, stroke/SE-related, and MB-related hospitalizations compared with warfarin, dabigatran, and rivaroxaban. Accordingly, apixaban showed significantly lower all-cause health care costs as well as stroke/SE- and MB-related medical costs. This study may assist clinicians in determining the appropriate OAC for OAC-naive elderly NVAF patients and could be informative to decision makers managing Medicare populations.

APPENDIX A. Pre-PSM Descriptive Baseline Characteristics and Outcomes

Warfarin Cohort (n = 95,390) Apixaban Cohort (n = 20,853) Dabigatran Cohort (n = 16,743) Rivaroxaban Cohort (n = 53,146)
n/mean %/SD n/mean %/SD n/mean %/SD n/mean %/SD
Age (years) 78.72 7.40% 78.36 7.40% 77.16 7.01% 77.65 7.23%
  65-74 31,061 32.56% 7,244 34.74% 6,788 40.54% 20,361 38.31%
  75-84 41,254 43.25% 8,846 42.42% 7,062 42.18% 22,420 42.19%
  ≥ 85 23,075 24.19% 4,763 22.84% 2,893 17.28% 10,365 19.50%
Gender
  Male 46,183 48.41% 9,949 47.71% 8,472 50.60% 25,685 48.33%
  Female 49,207 51.59% 10,904 52.29% 8,271 49.40% 27,461 51.67%
Geographic region
  Northeast 18,881 19.79% 3,599 17.26% 3,415 20.40% 9,308 17.51%
  North Central 28,704 30.09% 4,225 20.26% 3,861 23.06% 11,915 22.42%
  South 31,594 33.12% 9,407 45.11% 6,303 37.65% 22,469 42.28%
  West 16,121 16.90% 3,607 17.30% 3,137 18.74% 9,355 17.60%
  Other 90 0.09% 15 0.07% 27 0.16% 99 0.19%
Baseline comorbidity
  Charlson Comorbidity Index 3.15 2.76% 2.79 2.57% 2.54 2.42% 2.68 2.52%
  CHADS2 scorea 2.89 1.44% 2.76 1.44% 2.62 1.41% 2.66 1.43%
  CHA2DS2-VASc scoreb 4.76 1.74% 4.62 1.74% 4.41 1.71% 4.51 1.73%
  HAS-BLED scorec 3.30 1.27% 3.29 1.21% 3.10 1.19% 3.22 1.21%
  Baseline prior bleed 24,393 25.57% 4,553 21.83% 3,264 19.49% 11,898 22.39%
  Baseline prior stroke 15,023 15.75% 2,687 12.89% 1,975 11.80% 6,348 11.94%
  Congestive heart failure 34,205 35.86% 6,393 30.66% 4,785 28.58% 15,275 28.74%
  Diabetes 38,449 40.31% 7,346 35.23% 6,216 37.13% 19,092 35.92%
  Hypertension 84,107 88.17% 18,831 90.30% 14,753 88.11% 47,186 88.79%
  Renal disease 27,693 29.03% 4,977 23.87% 3,199 19.11% 11,085 20.86%
  Myocardial infarction 14,004 14.68% 2,659 12.75% 1,811 10.82% 6,463 12.16%
  Dyspepsia or stomach discomfort 20,902 21.91% 4,649 22.29% 3,367 20.11% 11,695 22.01%
  Peripheral vascular disease 54,621 57.26% 12,332 59.14% 8,923 53.29% 29,797 56.07%
  Transient ischemic attack 7,653 8.02% 1,773 8.50% 1,231 7.35% 4,122 7.76%
  Coronary artery disease 46,691 48.95% 10,803 51.81% 7,700 45.99% 25,709 48.37%
Follow-up time (days) 196 184 171 153 196 192 203 192
  Median 121 115 113 130
All-cause hospitalization incidence rate (per 100 person-years) 59.0 44.5 45.1 52.5
Stroke/SE incidence rate (per 100 person-years) 1.83 0.75 1.35 1.19
  Ischemic stroke 1.33 0.61 1.21 0.83
  Hemorrhagic stroke 0.38 0.10 0.10 0.30
  SE 0.11 0.03 0.04 0.05
Major bleeding incidence rate (per 100 person-years) 6.28 3.34 4.03 6.30
  Gastrointestinal bleeding 3.00 1.76 2.55 3.54
  Intracranial hemorrhage 0.93 0.34 0.38 0.59
  Other bleeding 2.75 1.44 1.42 2.66
Follow-up all-cause health care costs ($ PPPM)
  All-cause ER/outpatient medical costs 1,018 2,615 887 1,783 879 1,935 973 2,728
  All-cause hospitalization medical costs 1,821 8,111 1,100 5,072 1,277 5,943 1,718 7,589
  Pharmacy costs 368 825 733 1,546 642 946 664 915
  All-cause health care costs 3,973 9,917 3,060 6,291 3,192 7,144 4,019 9,291

aCHADS2: congestive heart failure, hypertension, aged ≥ 75 years, diabetes mellitus, prior stroke, transient ischemic attack, or venous thromboembolism.

bCHA2DS2-VASc: congestive heart failure, hypertension, aged ≥ 75 years, diabetes mellitus, prior stroke or transient ischemic attack or thromboembolism, vascular disease, aged 65-74 years, sex category.

cHAS-BLED: hypertension, abnormal renal and liver function, stroke, bleeding, labile international normalized ratios, elderly, drugs and alcohol.

ER = emergency room; PPPM = per patient per month; PSM = propensity score matching; SD = standard deviation; SE = systemic embolism.

APPENDIX B.

Risk of Hospitalization in Sensitivity Analyses Among Propensity Score-Matched Patients

Warfarin vs. Apixaban Dabigatran vs. Apixaban Rivaroxaban vs. Apixaban
Dosing form n = 41,606 P Valuea n = 30,836 P Valuea n = 41,608 P Valuea
  All-cause hospitalization
    Standard doseb 1.36 (1.29-1.43) < 0.001 1.16 (1.10-1.24) 0.229 1.23 (1.17-1.30) 0.792
    Low doseb 1.17 (1.08-1.26) 1.25 (1.14-1.37) 1.25 (1.17-1.34)
  Stroke/SE
    Standard dose 2.92 (2.07-4.13) 0.063 2.32 (1.52-3.53) 0.967 1.57 (1.07-2.31) 0.576
    Low dose 1.69 (1.07-2.68) 2.28 (0.99-3.96) 1.85 (1.21-2.82)
  Major bleeding
    Standard dose 1.89 (1.60-2.24) 0.586 1.45 (1.18-1.78) 0.502 2.07 (1.75-2.45) 0.554
    Low dose 2.04 (1.64-2.55) 1.64 (1.40-2.12) 2.25 (1.83-2.76)
Censoring at 6 months n = 41,606 P Value n = 30,836 P Value n = 41,608 P Value
  All-cause hospitalization 1.37 (1.30-1.43) < 0.001 1.20 (1.13-1.27) < 0.001 1.32 (1.26-1.38) < 0.001
    Stroke/SE 2.39 (1.78-3.22) < 0.001 2.12 (1.49-3.02) < 0.001 1.71 (1.25-2.34) < 0.001
    Major bleeding 1.91 (1.65-2.22) < 0.001 1.44 (1.19-1.74) < 0.001 2.09 (1.81-2.42) < 0.001
At least 30-day follow-up n = 41,576 P Value n = 30,824 P Value n = 41,539 P Value
  All-cause hospitalization 1.30 (1.25-1.36) < 0.001 1.15 (1.09-1.21) < 0.001 1.23 (1.18-1.28) < 0.001
    Stroke/SE 2.47 (1.87-3.26) < 0.001 2.16 (1.52-3.05) < 0.001 1.71 (1.28-2.29) < 0.001
    Major bleeding 1.93 (1.69-2.22) < 0.001 1.47 (1.24-1.75) < 0.001 2.15 (1.88-2.45) < 0.001

Note: In the sensitivity analysis of dosing forms, standard-dose and low-dose dabigatran and rivaroxaban were compared with apixaban patients with the same dose.

aP value is for interaction in the dosing form sensitivity analysis.

bStandard dose: 5 mg twice a day apixaban, 150 mg twice a day dabigatran, 20 mg every day rivaroxaban; low dose: 2.5 mg twice a day apixaban, 75 mg twice a day dabigatran, 10 mg or 15 mg every day rivaroxaban.

SE = systemic embolism.

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