Literature DB >> 35792949

Costs and Healthcare Resource Utilization Associated with Idarucizumab or Andexanet Alfa Oral Anticoagulant Reversal in Patients Hospitalized with Life-Threatening Bleeds.

Alex C Spyropoulos1,2,3, Bríain Ó Hartaigh4, Zhun Cao5, Harjeet Caberwal4, Craig Lipkin5, Michaela Petrini4, Cheng Wang4.   

Abstract

Purpose: To assess costs and healthcare resource utilization (HCRU) associated with the use of idarucizumab for the reversal of dabigatran and andexanet alfa for the reversal of direct oral Factor Xa inhibitors.
Methods: This retrospective study utilizing Premier Healthcare Database (PHD) included patients aged ≥18 years on direct oral anticoagulants (DOACs) who experienced life-threatening bleeds, discharged from the hospital during 5/1/2018-6/30/2019, and received idarucizumab or andexanet alfa. Inverse of treatment probability weighting (IPTW) method was used to balance patient and clinical characteristics between treatment cohorts.
Results: Idarucizumab patients were older than andexanet alfa patients (median age 81 vs 77 years; p < 0.001), and less likely to experience intracranial hemorrhage (ICH) (37.1%vs 73.8%; p  =  0.001). After IPTW adjustment, idarucizumab patients incurred lower mean total hospital costs ($30,413  ±  $33,028 vs $44,477  ±  $30,036; p < 0.001),and mean intensive care unit (ICU) cost ($25,114  ±  $30,433 vs $43,484  ±  $29,335; p < 0.001). Conclusions: Anticoagulant reversal therapy with idarucizumab was associated with significantly lower adjusted mean total hospital and ICU costs compared with andexanet alfa. However, a higher prevalence of ICH bleeds was noted in the andexanet alfa group. Trial Registration: Not applicable.

Entities:  

Keywords:  andexanet alfa; anticoagulation; cost; healthcare resource utilization; idarucizumab; reversal

Mesh:

Substances:

Year:  2022        PMID: 35792949      PMCID: PMC9272054          DOI: 10.1177/10760296221110568

Source DB:  PubMed          Journal:  Clin Appl Thromb Hemost        ISSN: 1076-0296            Impact factor:   3.512


Plain Language Summary

The costs and utilization of healthcare resources comparing two strategies used for reversing the anticoagulant effects of direct oral anticoagulants (DOACs) is unknown. Idarucizumab is a specific reversal agent for the DOAC dabigatran, and andexanet alpha is a specific reversal agent for the DOACs rivaroxaban and apixaban. We retrospectively measured the costs and healthcare resource utilization (HCRU) of a large healthcare database (Premier) in the US in patients aged ≥18 years on chronic DOACs discharged from the hospital during 5/1/2018–6/30/2019 who experienced a life-threatening bleed and who received the reversal agents idarucizumab or andexanet alfa. The results showed that length of stay (LOS) measures did not differ significantly between patient cohorts and that anticoagulant reversal therapy with idarucizumab was associated with significantly lower total hospital and ICU costs compared with andexanet alfa. However, a higher prevalence of ICH bleeds was noted in the andexanet alfa group.

Introduction

The past decade has witnessed the increased use of direct oral anticoagulation (DOAC) to prevent stroke or systemic embolism in patients with non-valvular atrial fibrillation (NVAF) and for venous thromboembolism (VTE).[1-3] The Food and Drug Administration (FDA) approved the oral direct thrombin inhibitor, dabigatran, for these indications in October 2010, and the oral direct Factor Xa inhibitors rivaroxaban, apixaban, and edoxaban were similarly approved in 2011, 2014, and 2015, respectively. Outpatient prescriptions for these oral anticoagulants have outpaced those for warfarin, reflecting their ease of use, predictable pharmacokinetics, and favorable benefit-risk profile to prevent embolic events.[1-4] Compared to warfarin, DOACs require no monitoring and less follow-up, have fewer drug and food interactions, and provide rapid onset and offset. Notably, they are associated with lower risk for a major bleed. While most bleeding can be managed by discontinuing the DOAC along with supportive measures, life-threatening bleeds such as gastrointestinal and ICH, require a more specific approach. Prior to FDA-approved reversal agents, DOAC users relied on non-specific reversal strategies such as prothrombin complex concentrates, fresh frozen plasma, and cryoprecipitate. On October 16, 2015, Idarucizumab (Praxbind®, Boehringer Ingelheim Pharmaceutical Inc) received FDA approval as a specific reversal agent for dabigatran (Pradaxa®, Boehringer Ingelheim Pharmaceutical Inc). It is a humanized monoclonal antibody fragment that rapidly and effectively reverses anticoagulant activity by neutralizing free dabigatran and thrombin-bound dabigatran. Its binding affinity is approximately 350 times greater than the binding affinity of dabigatran for thrombin. No relevant safety issues have been identified. On May 3, 2018, the FDA granted accelerated approval to coagulation factor Xa (recombinant), inactivated-zhzo [andexanet alfa (Andexxa®, Portola Pharmaceuticals, Inc)] for reversal of the Factor Xa inhibitors rivaroxaban (Xarelto®, Janssen Pharmaceuticals, Inc) and apixaban (Eliquis®, Bristol-Myers Squibb Company). It is a recombinant and inactive form of Factor Xa with a strong binding affinity to sequester rivaroxaban or apixaban and inhibit its binding to native Factor Xa.[8,9] The availability of native Factor Xa permits normal enzymatic activity of prothrombin activation. Most of the published information available on idarucizumab and andexanet alfa comes from clinical trials.[6,10] A recent publication by Spyropoulos et al compared the HCRU and costs between patients treated with idarucizumab for the reversal of dabigatran and those treated with prothrombin complex concentrate for the reversal of warfarin. However, to date, there appears to be no published literature in real-world settings directly comparing the management of major bleeding with specific antidotes to reverse anticoagulation with dabigatran and apixaban/rivaroxaban, respectively. This study utilized a geographically diverse administrative hospital database to address this gap; examine patient, hospital, and clinical characteristics; and determine cost outcomes and hospital resource utilization (HRU) among NVAF and VTE patients admitted to the hospital for life-threatening bleeds.

Materials/Methods

Study Design and Data Source

This was a retrospective observational study utilizing the Premier Healthcare Database (PHD) to characterize hospitalized patients with life-threatening bleeds treated with idarucizumab or andexanet alfa to reverse anticoagulation with dabigatran or apixaban/rivaroxaban, respectively, and to compare cost, LOS, and intensive care unit (ICU) utilization between patients receiving the two reversal agents. The PHD is a geographically diverse, all-payer, U. S. hospital administrative database. The PHD accounts for approximately 25% of all inpatient admissions in the U.S., and contains patient and hospital information, visit characteristics, diagnosis and procedure codes, as well as costs and utilization of services at the hospitals. The PHD is exempt from Institutional Review Board oversight as dictated by Title 45 Code of Federal Regulations, Part 46 of the United States, specifically 45 CFR 46.101(b)(4). In accordance with the HIPAA Privacy Rule, disclosed data from the PHD are considered de-identified per 45 CFR 164.506(d)(2)(ii)(B) through the “Expert Determination” method.

Study Population

This study included hospitalized patients with NVAF (ICD-10 Diagnosis I48) and/or VTE (ICD-10 Diagnosis I82.4, I82.5, I82.6, I82.7 [DVT] and I26 [PE]) who were ≥18 years of age, experienced a major life-threatening bleed between May 1, 2018 and June 30, 2019, and received specific reversal therapy with idarucizumab or andexanet alfa. Major bleeding events were based on the presence of ICD-10-CM diagnosis codes for gastrointestinal bleed (GIB), ICH, other bleed, or evidence of blood transfusion; an emergency or urgent hospital admission, or evidence of ICU use within 2 days following the admission. The lists of diagnosis codes to identify the bleeds are available from the authors upon request. The first hospitalization with use of idarucizumab or andexanet alfa was defined as the index hospitalization. A 12-month pre-index period was used to capture any evidence of prior DOAC use. Patients prescribed two or more DOACs during the pre-index period, and who might present with a higher disease burden that could influence study findings, were excluded from the study. Idarucizumab patients receiving a Factor Xa inhibitor during the pre-index period were also excluded. Figure 1 summarizes patient attrition and final study population.
Figure 1.

Patient Attrition

Patient Attrition

Study Variables

The exposure variable was the anticoagulation reversal treatment with antidotes idarucizumab for dabigatran (idarucizumab patients) versus andexanet alfa for rivaroxaban/apixaban (andexanet alpha patients) in the hospitalized NVAF and VTE study population.

Patient, Visit, and Hospital Characteristics

The demographic characteristics were examined for patients in the two treatment cohorts, including age, sex, race/ethnicity, and primary insurance payer. Visit characteristics captured admission type. Hospital characteristics reported urban and rural populations served, teaching status, US census division, and hospital bed size.

Clinical Characteristics

Patients’ health status and risks were captured during the index hospitalization using 3M™ All Patient Refined Diagnosis Related Groups (APR-DRG) Severity of Illness and Risk of Mortality scales, Deyo-Charlson Comorbidity Index (CCI) score,[14,15] HAS-BLED (Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile International Normalized Ratio, Elderly, Drugs/Alcohol) score,[16,17] CHA2DS2-VASc schema (Congestive heart failure, Hypertension, Age ≥75 Years, Diabetes mellitus, prior Stroke or transient ischemic attack (TIA), Vascular disease, Age 65–74 years, Sex category) score.[16,18] Same set of individual comorbidities as in Spyropoulos et al (2022) were also examined in this study during the index hospitalization, which included bleeds (GIB, ICH), cardiovascular diseases (Coronary Artery Disease (CAD), congestive heart failure (CHF), myocardial infarction (MI), peripheral artery disease (PAD), ischemic stroke/transient ischemic attack (TIA)), renal diseases ;(Chronic Kidney Disease (CKD), Acute Kidney Failure), cardiac procedures (coronary artery bypass grafting (CABG), other open-heart surgery, percutaneous coronary intervention (PCI), other closed cardiac procedures), and other chronic conditions (hypertension, dyslipidemia, cirrhosis/hepatitis, diabetes mellitus, chronic obstructive pulmonary disease (COPD), history of cancer, history of falls, dementia, and depression/anxiety.

Outcomes

The primary outcome of this study was total hospital cost during the index hospitalization. The secondary HRU outcomes during the index hospitalization included total hospital LOS as well as LOS and costs associated with any ICU admission.

Statistical Analysis

Descriptive analysis was used to characterize the patient population and describe cost and HRU outcomes. Bivariate analysis provided pairwise comparisons between idarucizumab and andexanet alfa cohorts. Wilcoxon tests were used to assess differences in continuous variables, and Chi-square tests were used to examine any differences for categorical variables. The descriptive analysis was followed by adjustment using the inverse probability of treatment weighting (IPTW) method to balance the distribution of demographic, visit, hospital, and clinical characteristics between the two treatment cohorts.[19-21] A logistic regression of treatment (idarucizumab vs andexanet alfa) on patient and hospital characteristics was performed. The covariates included in the regression were pre-selected based on an inspection of the unadjusted descriptive results and clinical rationale, and backward selection was used to determine the final model specification at a cutoff p value of 0.05 with a Bonferroni correction factor. The matching covariates that were retained in the model after backward selection included age, sex, race; urban versus rural and census region (South, Midwest vs other); and HAS-BLED and CHA2DS2-VASc scores. Propensity scores were calculated as the conditional probability of receiving idarucizumab. The common support regions were examined between idarucizumab and andexanet alfa cohorts, and patients whose propensity score was outside of the region were excluded from the adjusted analysis. In the second step, the inverse of the probability of receiving the actual treatment was used as the probability weight in the estimation of the descriptive statistics. Standardized differences were used to examine the balance of covariates.[22,23] Standardized differences lower than 0.1 were considered negligible difference and indicated good balance between the groups. Weighted means and standard deviations were reported for the outcomes. P values were reported for the weighted means of the outcomes. SAS 9.4 was used for the statistical analysis. An alpha value of <0.05 was considered statistically significant.

Results

Among the 550,663 adult patients with an inpatient hospitalization with major life-threatening bleeds, 364 patients received idarucizumab (NVAF, 360; VTE, 18), and 126 received andexanet alfa (NVAF, 116; VTE, 16) (Figure 1).

Unadjusted Descriptive Analysis

Unadjusted patient, visit, and hospital characteristics

Unadjusted demographic, visit, and hospital characteristics are reported in Table 1. The idarucizumab patients were older (median 81 years, 25–75th percentile: 73.5–86 years) compared with the andexanet alfa patients (median 77 years, 25–75th percentile: 68–83 years; p < 0.001). The proportion of females was similar between the idarucizumab (42.9%) and andexanet alfa patients (46.8%; p  =  0.439). Among the idarucizumab patients, 84.9% were white compared with 72.2% of the andexanet alfa patients (p  =  0.002). Hispanic/Latino ethnicity accounted for 3.8% of the idarucizumab patients and 4.0% of the andexanet alfa patients (p  =  0.154). Given the age distribution, patients from both idarucizumab and andexanet alfa cohorts subscribed to Medicare as their primary insurance payer (84.3.1% vs 78.6% in; p  =  0.196). Most patients had an emergency or urgent admission or were admitted through a trauma center. A few patients had an elective or unknown type of admission, although these were identified with ICU use during the first two days of admission. Both idarucizumab (86.0%) and andexanet alfa (99.2%) patients were more often treated in urban hospitals (p < 0.001). Among idarucizumab patients, 51.9% were treated in teaching hospitals, while 75.4% of the andexanet alfa patients were also treated in teaching hospitals (p < 0.001). Idarucizumab patients were most likely treated in hospitals in the South Atlantic region (28.3%), whereas andexanet alfa patients were more likely treated in hospitals in the East North Central region (51.6%; p < 0.001). Andexanet alfa patients were more likely treated in larger hospitals with 500 or more beds compared with idarucizumab patients (68.3% vs 38.2%; p < 0.001).
Table 1.

Patient and Hospital Characteristics.

IdarucizumabAndexanet AlfaIdarucizumab versusAndexanet Alfa
N%N%p-value
# of Patients 364 126
Age Group 18–44 20.510.80.008
45–54 51.464.8
55–64 215.81310.3
65–74 7420.33729.4
75–84 14740.44233.3
85  +  11531.62721.4
Sex Female 15642.95946.80.439
Male 20857.16753.2
Race Black 236.3107.90.002
Other 328.82519.8
White 30984.99172.2
Ethnicity Hispanic or Latino 143.854.00.154
Not Hispanic or Latino 28678.610885.7
Unknown 6417.61310.3
Health Care Coverage Commercial 4211.51814.30.196
Medicaid 30.843.2
Medicare 30784.39978.6
Other 123.354.0
Hospital Urbanicity Rural 5114.010.8<0.001
Urban 31386.012599.2
Hospital Teaching Status Non-Teaching 17548.13124.6<0.001
Teaching 18951.99575.4
Hospital Census Division East North Central 4712.96551.6<0.001
East South Central 154.164.8
Middle Atlantic 8122.3129.5
Mountain 92.500
New England 71.954.0
Pacific 4412.100
South Atlantic 10328.33729.4
West North Central 308.210.8
West South Central 287.700
Hospital Bed Size <099 133.600<0.001
100–199 5314.600
200–299 5314.6118.7
300–499 10629.12923.0
500  +  13938.28668.3
Patient and Hospital Characteristics.

Unadjusted clinical characteristics

Table 2 presents the unadjusted descriptive analysis of the clinical characteristics and comorbid conditions. The proportion of patients with extreme APR-DRG severity of illness was lower in idarucizumab patients compared to the andexanet alfa patients (35.2% vs 51.6%; p < 0.001). Lower proportions of idarucizumab patients with extreme risk of mortality score compared with the andexanet alfa patients (37.6% vs 50.8%; p  =  0.049) were similarly noted. During the index hospitalization, idarucizumab patients displayed lower HAS-BLED scores than andexanet alfa patients (Median 3.4, 25–75th percentiles: 2–4 vs Median 3.8, 25–75th percentiles: 3–5; p  =  0.014). CHA2DS2-VASc scores and Deyo-Charlson Comorbidity Index scores were not statistically different between idarucizumab and andexanet alfa patients.
Table 2.

Clinical Characteristics and Comorbid Conditions During Index Hospitalization.

IdarucizumabAndexanet AlfaIdarucizumab versus Andexanet Alfa
N%N%p-value
# of Patients/Discharges 364 126
Oral Anticoagulation Indication NVAF 36098.9%11692.1%
VTE 184.9%1612.7%
APR-DRG Severity of Illness Minor 102.7%32.4%<.001
Moderate 5916.2%129.5%
Major 16745.9%4636.5%
Extreme 12835.2%6551.6%
APR-DRG Risk of Mortality Minor 174.7%43.2%0.049
Moderate 7821.4%1713.5%
Major 13236.3%4132.5%
Extreme 13737.6%6450.8%
HAS-BLED* Score Index Mean 3.43.8
SD 1.51.3
Median 340.014
25th percentile 23
75th percentile 45
CHA2DS2-VASc** Score Index Mean 3.93.7
SD 1.71.6
Median 440.209
25th percentile 32
75th percentile 55
Deyo-Charlson Comorbidity Index Mean 3.64.0
SD 2.83.2
Median 330.597
25th percentile 21
75th percentile 56
Individual Comorbidities Gastrointestinal Bleed 20556.3%3124.6%<.001
Intracranial Bleed 13537.1%9373.8%<.001
Coronary Artery Disease (CAD) 16144.2%5442.9%0.789
Peripheral Artery Disease (PAD) 3910.7%118.7%0.526
Myocardial Infarction (MI) 5615.4%2318.3%0.450
Congestive Heart Failure (CHF) 16946.4%5039.7%0.189
Chronic Kidney Disease (CKD) 11932.7%3326.2%0.174
Acute Kidney Failure 13436.8%3225.4%0.020
Cirrhosis/hepatitis 205.5%64.8%0.752
Hypertension 18450.5%6551.6%0.841
Dyslipidemia 22361.3%7357.9%0.510
Diabetes Mellitus 13336.5%4334.1%0.627
Chronic Obstructive Pulmonary Disease (COPD) 8022.0%3427.0%0.252
History of Cancer 9526.1%3427.0%0.846
Ischemic Stroke/Transient Ischemic Attack (TIA) 174.7%86.3%0.460
CABG 00.0%10.8%0.089
Other Open-Heart Surgery 10.3%64.8%<.001
Percutaneous Coronary Intervention (PCI) 00.0%00.0%
Other Closed Cardiac Procedures 6417.6%2620.6%0.446
History of Falls 195.2%129.5%0.087
Dementia 5214.3%2015.9%0.664
Depression/Anxiety 7219.8%2116.7%0.442

* NVAF: non-valvular atrial fibrillation; VTE: venous thromboembolism; A patient may have both NVAF and VTE diagnoses during the index hospitalization.

** HAS-BLED: Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile International Normalized Ratio, Elderly, Drugs/Alcohol.

*** CHA≥75 Years, Diabetes mellitus, prior Stroke or transient ischemic attack, Vascular disease, Age 65–74 years, Sex category.

Clinical Characteristics and Comorbid Conditions During Index Hospitalization. * NVAF: non-valvular atrial fibrillation; VTE: venous thromboembolism; A patient may have both NVAF and VTE diagnoses during the index hospitalization. ** HAS-BLED: Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile International Normalized Ratio, Elderly, Drugs/Alcohol. *** CHA≥75 Years, Diabetes mellitus, prior Stroke or transient ischemic attack, Vascular disease, Age 65–74 years, Sex category. During index hospitalization, idarucizumab patients had a significantly higher prevalence of GIB (56.3% vs 24.6%; p < 0.001) and lower prevalence of prevalence of ICH (37.1% vs 73.8%; p  =  0.001) compared with andexanet alfa patients. A significantly higher prevalence of acute kidney failure was seen in the idarucizumab patients compared with the andexanet alfa patients (36.8% vs 25.4%; p  =  0.020). We also examined the drug costs of idarucizumab and andexanet alfa, respectively. The median pharmacy cost was approximately 6-fold lower for idarucizumab ($3604) than andexanet alfa ($22,074).

IPTW-Adjusted Results

IPTW-adjusted demographic, visit, hospital, and clinical characteristics

Table 3 provides the IPT-weighted descriptive statistics for the covariates included in the IPTW regression. After excluding patients whose probability of treatment were outside the common support region, 266 idarucizumab and 101 andexanet alfa patients remained in the weighted analysis. Standardized differences for the covariates that were included in the IPTW regression were below 0.1, except the proportion of idarucizumab patients treated in hospitals located in the Midwest division, which was slightly higher than what was observed in the andexanet alfa patients (standardized difference  =  0.141).
Table 3.

Inverse Probability of Treatment Weighted Covariates.

IdarucizumabAndexanet AlfaStandardized DifferencesIdarucizumab versus Andexanet Alfa
N%N%p value
# of Patients 266 101
Age Mean 77.176.40.0650.598
Std Dev 10.713.1
Sex Female 11443.2%5345.5%0.0390.673
Male 15056.9%6354.5%0.039
Race Black 176.5%108.7%0.0680.704
Other 3011.3%119.7%0.041
White 21782.2%9581.6%0.013
Urbanicity Rural 62.3%32.3%0.0040.965
Urban 25897.7%11397.8%0.004
Provider area Midwest 7729.3%2521.7%0.1410.300
Other 7327.7%3529.8%0.039
South 11443.1%5648.5%0.090
HAS-BLED* Score Index Mean 3.53.40.0670.781
Std Dev 1.51.5
CHA2DS2-VASc** Score Index Mean 3.83.70.0610.459
Std Dev 1.71.6

* HAS-BLED: Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile International Normalized Ratio, Elderly, Drugs/Alcohol.

** CHA≥75 Years, Diabetes mellitus, prior Stroke or transient ischemic attack, Vascular disease, Age 65–74 years, Sex category.

Inverse Probability of Treatment Weighted Covariates. * HAS-BLED: Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile International Normalized Ratio, Elderly, Drugs/Alcohol. ** CHA≥75 Years, Diabetes mellitus, prior Stroke or transient ischemic attack, Vascular disease, Age 65–74 years, Sex category.

IPT-weighted costs and hospital resource utilization

The IPT-weighted outcomes are presented in Table 4. The weighted mean total hospital cost among idarucizumab patients was significantly lower than among andexanet alfa patients ($30,413  ±  $33,028 vs $44,477  ±  $30,036; p < 0.001). The weighted mean total LOS was similar between idarucizumab and andexanet alfa (9.0  ±  8.6 days vs 7.8  ±  7.1 days; p  =  0.166). The differences in the percentage of ICU admissions were not statistically significant between the idarucizumab and andexanet alfa cohorts (70.9% vs 67.9%; p  =  0.559) nor was the respective ICU LOS (5.2  ±  8.3 days vs 3.6  ±  4.5 days; p  =  0.108). However, the weighted mean for ICU LOS costs was found to be significantly lower in idarucizumab patients compared with andexanet alfa patients ($25,114  ±  $30,433 vs $43,484  ±  $29,335, p < 0.001).
Table 4.

Inverse Probability of Treatment Weighted Outcomes

IdarucizumabAndexanet AlfaNormalized Difference for Idarucizumab versus Andexanet AlfaIdarucizumab versus Andexanet Alfap value
Total Cost ($) N 266101
Mean $30,413$44,4770.446<0.001
Std Dev $33,028$30,036
Total Hospital Length of Stay (Days) N 266101
Mean 9.07.80.1610.166
Std Dev 8.67.1
ICU Admission (Percentage)* N 17982
% 70.967.90.0660.559
ICU Length of Stay (Days) N 17973
Mean 5.23.60.2380.108
Std Dev 8.34.5
ICU Cost ($) N 17973
Mean $25,114$43,4840.615<0.001
Std Dev $30,433$29,335

*ICU: Intensive Care Unit

Legends:

DOAC: direct oral anticoagulation

NVAF: non-valvular atrial fibrillation

VTE: venous thromboembolism

Inverse Probability of Treatment Weighted Outcomes *ICU: Intensive Care Unit Legends: DOAC: direct oral anticoagulation NVAF: non-valvular atrial fibrillation VTE: venous thromboembolism

Discussion

This retrospective observational study compared treatment of two FDA-approved antidotes for oral anticoagulation reversal in patients on chronic DOACs hospitalized for life-threatening bleeds. The key findings indicated that patients treated with idarucizumab incurred an adjusted mean lower total hospital and ICU cost that was approximately $13,000 less compared with those patients treated with andexanet alfa, after adjusting for demographic, hospital, and clinical characteristics. Despite these differences in costs, no significant between-group differences were observed for percentage of ICU admission and total hospital and ICU LOS. In the recently published study by Spyropoulos et al, patients treated with idarucizumab for the reversal of dabigatran had lower ICU admission rate, hospital cost, and shorter LOS, when compared to those treated with a non-specific, PCC-based strategy for the reversal of warfarin. As an extension of that research, the current study revealed that, the patients receiving idarucizumab also had a lower cost than those receiving using andexanet alfa for the specific reversal of DOACs rivaroxaban and apixaban, although the LOS and ICU admission rate were not statistically different among those receiving specific reversal therapies. The higher total costs in andexanet alfa patients are likely attributable to several factors. First, the treatment cost of andexanet alfa is much higher than that of idarucizumab, which may be a key driver of higher total hospital costs in patients receiving andexanet alfa. Andexanet alfa costs range from $24,750 (low-dose regimen) to $49,500 (high-dose regimen).[9,24] Its dosing regimen is dependent on the strength and timing of the last dose of apixaban. The dose cost of idarucizumab is much lower at $3500. In the present study, the unadjusted mean cost for andexanet alfa was $28,940 (SD: $21,756) compared with $4393 (SD: $3258) for idarucizumab, consistent with reported wholesale acquisition costs during the study period (May 1, 2018–June 30, 2019). It is worth noting that, Portola Pharmaceuticals, the manufacturer of andexanet alfa was acquired by Alexion Pharmaceuticals in July 2020, and the price of andexanet alpha decreased afterwards. Although the price change did not affect the present study, it could impact the patient treatment costs in studies covering year 2020 or later. Second, although the adjusted percentage of ICU admission or LOS did not differ significantly between idarucizumab and andexanet alfa patients, andexanet alfa patients incurred higher ICU costs when they were admitted to the ICU, indicating greater HCRU. Finally, increased costs also may be related to the overall health of the andexanet alfa cohort. The unadjusted descriptive analysis indicated that the severity level of illness of the two cohorts was different. Andexanet alfa patients were considered more severe with higher proportions of patients with “extreme” APR-DRG severity of illness and risk of mortality. The andexanet alfa patients had a greater propensity for bleeding as evidenced by significantly higher HAS-BLED scores. Notably, the study found that the andexanet alfa patients were more likely to present with an ICH than idarucizumab patients, while the idarucizumab patients were more likely to experience GI bleeding, suggesting some disparity in the reason for treatment with reverse anticoagulant agents in these populations. To this end, the costs associated with ICH bleeding may reflect another underlying reason as to the cost differences observed between both andexanet alfa and idarucizumab patients, respectively. This study documented that 73.8% of patients in the andexanet alfa group had experienced an ICH, while only 37.1% of idarucizumab patients had suffered an ICH. These observations are in line with findings from previous clinical trials and retrospective studies. Indeed, the Randomized Evaluation of Long-term Anticoagulation Therapy (RE-LY) study showed that patients receiving low-dose (110 mg) and high-dose (150mg) dabigatran had yearly respective ICH rates of 0.23% and 0.30%, respectively. The Apixaban for Reduction in Stroke and Other Embolic Events in Atrial Fibrillation (ARISTOTLE) study demonstrated an ICH rate of 0.33% per year, and the Apixaban Versus Acetylsalicylic Acid to Prevent Stroke in Atrial Fibrillation Who Have Failed or Are Unsuitable for Vitamin K Antagonist Treatment (AVERROES) study demonstrated a 0.4% ICH rate per year in patients treated with apixaban. Another study also found that the rivaroxaban-associated ICH rate was 0.57% per year. In a more recent comparative propensity-matched study of US Medicare patients diagnosed with NVAF, who newly received dabigatran versus apixaban between October 2010 and September 2015, adjusted hazard ratios (HR; 95% Confidence Interval) showed a reduced risk for ICH (0.7; 0.53–0.94) compared with an increased risk for major GIB (2.23; 1.93–2.58). Several limitations of this study warrant discussion. First, the history of prior DOAC use may not have been fully captured in the PHD database, since it could not account for those patients taking DOAC therapy at home. Second, IPTW adjustment was used to control for the difference in patient, hospital, and clinical characteristics between both cohorts. Given the limited sample size, only the most parsimonious patient and clinical characteristics were included in the propensity score model after backward selection. Although most covariates appeared to be well balanced when weighted, we cannot discount the possibility that other unmeasured factors that were not accounted for after applying the weights could have led to potential bias. Finally, due to the relatively small sample size, subgroup analysis within patients who experienced an ICH and/or GIB was not feasible.

Conclusions

In the present study, following adjustment for key demographic and clinical characteristics, patients treated with idarucizumab appeared to incur an adjusted mean lower total cost that was approximately $13,000 less compared with those patients treated with andexanet alfa. One potential cost driver for andexanet alfa was the cost for the agent itself. In addition, there was a higher severity of illness and higher proportion of ICH bleeds displayed in those who received andexanet alfa to suggest that this patient group was more likely to have undergone more intensive treatment approaches than those administered idarucizumab. Despite these limitations, this study is the first to compare the real-world healthcare cost and resource utilization between patients receiving the first two FDA-approved reversal therapies for direct thrombin and Factor Xa inhibitors. Click here for additional data file. Supplemental material, sj-docx-1-cat-10.1177_10760296221110568 for Costs and Healthcare Resource Utilization Associated with Idarucizumab or Andexanet Alfa Oral Anticoagulant Reversal in Patients Hospitalized with Life-Threatening Bleeds by Alex C. Spyropoulos, Bríain Ó Hartaigh, Zhun Cao, Harjeet Caberwal, Craig Lipkin and Michaela Petrini, Cheng Wang in Clinical and Applied Thrombosis/Hemostasis
  25 in total

1.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

2.  Use of the CHA(2)DS(2)-VASc and HAS-BLED scores to aid decision making for thromboprophylaxis in nonvalvular atrial fibrillation.

Authors:  Deirdre A Lane; Gregory Y H Lip
Journal:  Circulation       Date:  2012-08-14       Impact factor: 29.690

3.  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

4.  Full Study Report of Andexanet Alfa for Bleeding Associated with Factor Xa Inhibitors.

Authors:  Stuart J Connolly; Mark Crowther; John W Eikelboom; C Michael Gibson; John T Curnutte; John H Lawrence; Patrick Yue; Michele D Bronson; Genmin Lu; Pamela B Conley; Peter Verhamme; Jeannot Schmidt; Saskia Middeldorp; Alexander T Cohen; Jan Beyer-Westendorf; Pierre Albaladejo; Jose Lopez-Sendon; Andrew M Demchuk; Daniel J Pallin; Mauricio Concha; Shelly Goodman; Janet Leeds; Sonia Souza; Deborah M Siegal; Elena Zotova; Brandi Meeks; Sadia Ahmad; Juliet Nakamya; Truman J Milling
Journal:  N Engl J Med       Date:  2019-02-07       Impact factor: 91.245

5.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

6.  Trends and Variation in Oral Anticoagulant Choice in Patients with Atrial Fibrillation, 2010-2017.

Authors:  Junya Zhu; G Caleb Alexander; Saman Nazarian; Jodi B Segal; Albert W Wu
Journal:  Pharmacotherapy       Date:  2018-07-26       Impact factor: 4.705

Review 7.  A New Option for Reversing the Anticoagulant Effect of Factor Xa Inhibitors: Andexanet Alfa (ANDEXXA).

Authors:  Kelly C Rogers; Shannon W Finks
Journal:  Am J Med       Date:  2018-07-25       Impact factor: 4.965

8.  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

9.  Variation in the Use of Warfarin and Direct Oral Anticoagulants in Atrial Fibrillation and Associated Cost Implications.

Authors:  Benjamin A Rodwin; Joseph A Salami; Erica S Spatz; Javier Valero-Elizondo; Salim S Virani; Ron Blankstein; Michael J Blaha; Khurram Nasir; Nihar R Desai
Journal:  Am J Med       Date:  2018-10-02       Impact factor: 4.965

10.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

Authors:  Peter C Austin
Journal:  Multivariate Behav Res       Date:  2011-06-08       Impact factor: 5.923

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