FormalPara Key Summary Points

Why carry out this study?

For patients with venous thromboembolism (VTE), the direct oral anticoagulant apixaban is non-inferior to vitamin K antagonists (VKAs) for efficacy and has better safety

Real-world evidence studies suggest that apixaban is also associated with improved effectiveness

Healthcare resource use and all-cause costs associated with the use of these anticoagulants in France are not well known

Our objective was to compare healthcare resource use and all-cause costs between apixaban and VKAs in patients with VTE in France in a real-world setting

What was learned from the study?

We found that patients with VTE prescribed apixaban used significantly fewer healthcare resources than patients prescribed VKAs

Although drug and medical procedure costs were higher for apixaban than for VKAs, apixaban had significantly lower total all-cause medical and non-medical costs than VKAs

Considering both medical and non-medical costs for VTE patients treated with anticoagulants in France, apixaban saves money compared to VKAs

Introduction

Venous thromboembolism (VTE) is the formation of a blood clot in a vein and comprises both deep vein thrombosis (DVT) and pulmonary embolism (PE). VTE is a leading cause of mortality and morbidity. In Europe, there are nearly 760,000 VTE cases per year [1] In France alone, the number of VTE cases per year is around 120,000 [2]. Moreover, VTE occurred in 1% of hospital stays in 2010–2011 in France [3].

VTE is typically treated with anticoagulants. Traditional anticoagulant treatment for VTE includes parenteral anticoagulants such as heparin agents as well as oral anticoagulants such as the vitamin K antagonist (VKA) warfarin. However, VKAs need regular monitoring to stabilize international normalized ratio (INR) values and frequently have food and drug interactions [5].

Newer anticoagulant treatments include direct oral anticoagulants (DOACs) such as apixaban, which do not require routine monitoring and have fewer food and drug interactions than VKAs [5]. Randomized clinical trials indicate that apixaban and other DOACs have a lower risk of bleeding than VKAs and are non-inferior to VKAs in preventing VTE-related death and VTE recurrence [6, 7]. Several guidelines recommend DOACs (including apixaban) over VKAs as anticoagulation treatment in patients with VTE [8,9,10].

In Europe, aggregate healthcare costs for VTE events are estimated to total up to €13.2 billion per year [11]. An analysis of VKA- and DOAC-associated healthcare costs in 2014–2016 in the USA indicated that the DOAC apixaban had significantly lower all-cause total healthcare costs than warfarin [12]. Also, a Danish cost analysis of patients with VTE indicated that, while drug costs were lower for low molecular weight heparin (LMWH)/VKAs than for DOACs, total costs were lower for DOACs, with apixaban having the lowest total costs among the included DOACs [13]. However, there is generally limited information on whether healthcare costs are different between VKAs and DOACs in France and other European countries.

To properly analyze the risk/benefit balance of different VTE treatment options such as VKAs and DOACs, public health decision makers need HCRU and cost estimates related to VTE treatment. In a recent real-world study using data from the Système National des Données de Santé (SNDS) national health database in France, apixaban showed superior effectiveness and safety compared to VKAs [14]. Using the same study population, the present study aimed to determine whether healthcare resource use (HCRU) and all-cause costs differ between VKAs and apixaban in France. Apixaban is a relevant comparator as it is recommended in treatment guidelines, has demonstrated non-inferiority to VKAs in clinical trials and superiority in real-world studies, and is currently the most frequently prescribed DOAC in France [15]. Additionally, economic evaluation of apixaban was expected to be of interest to decision makers in the public healthcare system in France.

Methods

Overall Study Design and Data Source

This was a retrospective cohort study, designed in collaboration with French healthcare providers (HCPs). The study used data from the SNDS for patients with VTE who were treated with apixaban, VKAs only, or VKAs with LMWH bridging therapy. Patients using VKAs only or VKAs with LMWH bridging were consolidated into a single cohort, hereafter referred to as “VKAs.” The SNDS covers 99% of the French population. SNDS data are linked via unique patient social security numbers (SSNs) and comprise information from primary care, hospital, pharmacy, and death registration databases. The SNDS linked data contain information on patient demographics, medical procedures, causes of death, administered drugs, and hospitalizations. The study period was January 2013–June 2018, reflecting when apixaban was approved and became widely used in France [16].

Study Population

Details of the study population and follow-up are reported elsewhere [14]. Patients were anticoagulant-naïve adults who were covered under French national health insurance, had a VTE event diagnosed during the study period, received ≥ 1 anticoagulant prescription within 30 days after the VTE event discharge date (VKA or apixaban), were hospitalized with VTE, and had no active cancer. This study was approved by the French Institute for Health Data (approval no. 1092905, 23 December 2019). It was conducted with pseudonymized data, as requested by the National Informatics and Liberty Commission (CNIL; approval no. DR-2020-025, 16 January 2020). Informed consent was not required as pseudonymized data were used.

Index VTE Event, Index Therapy, and Index Date

The principal inpatient VTE diagnosis during the study period was designated as the index VTE event. Principal diagnosis was defined as the primary reason the patient was admitted to the hospital. Index therapy was defined as the first anticoagulant to be reimbursed within 30 days after the index VTE event discharge date. The index date for apixaban or VKAs was defined as the date of the first anticoagulant reimbursement that occurred within 30 days after the index VTE event hospital discharge date.

Study Outcomes

Direct healthcare costs in euros were calculated from different types of HCRU. HCRU and related costs were considered all cause and comprised hospital stays (overnight and ambulatory; number of stays, total length of stays in days, and costs), outpatient visits (office-based visits and hospital-based outpatient visits; number and costs), relevant laboratory tests (including INR monitoring) and medical procedures (number and cost), and medications. Hospitalizations included those in short-stay institutions (medicine, surgery, obstetrics), home-based hospitalizations, and hospitalizations related to after care and rehabilitation. Costs reimbursed by health insurance were considered. For hospitalizations, diagnosis-related group (DRG) codes are valued using GHS (groupe homogène de séjours) tariffs (including possible supplements) and therefore reflect reimbursed costs. For medical procedures, reimbursement corresponds to the tariff for the procedure and the social security rate on the date of the procedure [17]. For outpatient consultations, a specific rate is reimbursed by health insurance depending on the complexity of the consultation [18]. For medications, reimbursement is based on official prices on the date of prescription [19]. Total direct medical costs were calculated as the sum of these costs. Total non-medical costs were calculated from sick leave and transportation (which included any type of transportation to an HCP). Total healthcare costs were derived as the sum of direct medical and non-medical costs. Costs were adjusted to 2018 values using the medical component of the consumer price index [20].

In additional subgroup analyses, direct medical and non-medical costs were calculated for patients with recurrent VTE (where the index date was the date of the first recurrent VTE event) and for patients with bleeding (where the index date was the date of the first bleeding event). All patients were included in the analysis, but costs for patients without recurrent VTE or bleeding were considered zero.

Total direct medical and non-medical costs were calculated per patient per month (PPPM) from the index date until 6 months after the index date. For the same period, the most frequent laboratory tests, medical procedures, and drugs prescribed in 2018 (exploratory analysis only) were compared between the apixaban and VKA cohorts by chi-square test. P values < 0.05 were considered significant.

Statistical Analyses

Analyses were conducted using SAS Enterprise Guide version 7.15 (SAS Institute Inc., Cary, NC, USA). Graphs were produced with RStudio Server version 1.2.5042 (RStudio, Boston, MA, USA). Descriptive statistics were calculated for HCRU and for direct medical and non-medical costs; 1:1 propensity score (PS) matching was used to equalize clinical characteristics and baseline demographics between patients administered VKAs and those administered apixaban. Details of this method have been published previously [14].

HCRU and direct medical and non-medical costs were compared between VKAs and apixaban using two-part models. Two-part models are commonly used to model health care data as they are able to accommodate a skewed distribution of data (in the present case, a substantial number of zero observations) [21]. For the main analysis, follow-up started 1 day after the index date and was censored at death, switching of medications, interruption or discontinuation of treatment, end of study, or 6 months after the index date (whichever was earliest). The first part of the model predicted the probability of non-zero HCRU or a non-zero cost (P (y > 0)) using the following formula:

$$P \left(y>0\right)= \frac{{\mathrm{e}}^{\beta X}}{1+ {\mathrm{e}}^{\beta X}}$$

where y was the dependent HCRU or cost and X was the group treated with either anticoagulant. The second part of the model predicted HCRU or costs related to treatment for patients with non-zero HCRU or costs (i.e., patients who used healthcare resources).

A log transformed generalized linear model (GLM) was conducted to estimate predicted HCRU or costs. The final estimated HCRU or cost—the marginal effect (ME)—was calculated using the GENMOD procedure in SAS [22] from the sample means of the data (i.e., it reflects the ME at the mean). The probability of non-zero HCRU or a non-zero cost from the first part of the model was multiplied by the expected HCRU or cost from the second part of the model using the following formula:

$$E\left(y\right)=P\left(y>0\right)E(y|X,y>0)$$

where y was the mean HCRU or cost, X was the group treated with either anticoagulant, E was the mean expected value, and E(y|X, y > 0) was the mean predicted HCRU or cost obtained from the second part of the model.

Several GLMs were tested for appropriateness for the second equation. Normal, gamma, Poisson (HCRU only), and negative binomial (HCRU only) distributions were tested. For both HCRU and costs, the gamma distribution had the lowest value for Akaike information criterion (AIC) and was selected for the model; 95% confidence intervals (CIs) were estimated using a bootstrap method with 1000 replications.

Results

Patient Characteristics

Between January 2013 and June 2018, approximately 1.2 million patients with a diagnosis of VTE were identified in the SNDS. A previous publication fully describes the study population [14]. After PS matching, the VKA cohort (N = 7503) and the apixaban cohort (N = 7503) (Supplemental Fig. 1) had similar demographics, comorbidities, and concomitant treatments [14].

HCRU and Costs at 6 Months—Descriptive Statistics

Descriptive statistics were calculated for HCRU PPPM, including outpatient visits, drugs (overall and anticoagulants), laboratory tests (overall and INR), medical procedures, and hospitalizations (number of stays [ambulatory or overnight] and total length of stays in days [overnight only]) (Supplemental Table 1). The most frequent laboratory tests (Supplemental Table 2), medical procedures (Supplemental Table 3), and drugs prescribed in 2018 (Supplemental Table 4) were identified.

Descriptive statistics were also calculated for costs PPPM, including for outpatient visits, drugs (overall and anticoagulants), laboratory tests (overall and INR), medical procedures, hospitalizations, total direct medical costs, and total direct medical and non-medical costs (including sick leave and transportation costs) (Supplemental Table 5). Mean costs PPPM were highest for outpatient visits (€438.48 in the apixaban cohort vs. €455.73 in the VKA cohort) and hospitalizations (€249.34 vs. €343.16).

HCRU and Costs at 6 Months—Comparative Analyses

Marginal Effects

Compared to patients prescribed VKAs, those prescribed apixaban had significantly fewer HCRU events PPPM (mean [95% CI]) for outpatient visits (0.79 [0.79–0.79] vs. 1.28 [1.28–1.28], P < 0.0001), overall laboratory tests (3.77 [3.77–3.78] vs. 10.85 [10.84–10.85], P < 0.0001), number of hospital stays (0.09 [0.09–0.09] vs. 0.12 [0.12–0.12], P < 0.0001), and total length of hospital stays in days (0.67 [0.66–0.67] vs. 0.91 [0.91–0.91], P < 0.0001) (Table 1 and Fig. 1a). Compared to patients prescribed VKAs, those prescribed apixaban had significantly increased HCRU events PPPM (mean [95% CI]) for overall drugs (4.17 [4.17–4.18] vs. 3.16 [3.16–3.16], P < 0.0001) and medical procedures (0.78 [0.78–0.78] vs. 0.65 [0.65–0.65], P < 0.0001).

Table 1 Mean number of HCRU components (PPPM)—6 months
Fig. 1
figure 1

Forest plots of hazard ratios for A HCRU and B all-cause costs at 6 months. CI confidence interval, HCRU healthcare resource use, HR hazard ratio, VKA vitamin K antagonist

Compared to patients prescribed VKAs, those prescribed apixaban had significantly lower all-cause costs PPPM (mean [95% CI]) for outpatient visits (€438.54 [438.18–438.90] vs. €455.58 [455.18–455.98], P < 0.0001), overall laboratory tests (€21.26 [21.23–21.28] vs. €83.73 [83.67–83.79], P < 0.0001), hospitalizations (€249.48 [248.93–250.02] vs. €343.82 [342.90–344.73], P < 0.0001), total direct medical costs (€687.93 [687.22–688.65] vs. €798.70 [797.64–799.76], P < 0.0001), and total direct medical and non-medical costs (€771.60 [770.86–772.35] vs. €883.66 [882.57–884.74], P < 0.0001) (Table 2 and Fig. 1b). Compared to patients prescribed VKAs, those prescribed apixaban had significantly higher all-cause costs PPPM (mean [95% CI]) for overall drugs (€97.06 [96.98–97.15] vs. €69.56 [69.36–69.77], P < 0.0001) and medical procedures (€42.12 [42.09–42.15] vs. €35.50 [35.46–35.53], P < 0.0001).

Table 2 Mean cost in euros (PPPM)—6 months

Risk Ratios

Risk ratios for HCRU and all-cause costs showed similar patterns to the marginal effects. Compared to patients treated with VKAs, patients treated with apixaban generally had lower HCRU (Fig. 2a) and lower all-cause costs (Fig. 2b), although costs associated with overall drugs were higher in patients treated with apixaban.

Fig. 2
figure 2

A Mean number of HCRU components used PPPM and B mean costs in euros PPPM during the first 6 months after the index date in patients with non-zero costs. HCRU healthcare resource use, PPPM per patient per month, VKA vitamin K antagonist

Subgroup Analyses

Descriptive statistics were calculated for total direct medical and non-medical costs PPPM for patients with recurrent VTE (Supplemental Table 6) and patients with bleeding (Supplemental Table 7).

Marginal Effects—Costs for Recurrent VTE at 6 Months

In patients with recurrent VTE, compared to patients prescribed VKAs, those prescribed apixaban had significantly lower all-cause costs PPPM (mean [95%CI]) for total medical costs (€17.26 [17.13–17.40] vs. €18.12 [17.96–18.29], P < 0.0001) and total direct medical and non-medical costs (€18.37 [18.23–18.51] vs. €19.20 [19.03–19.37], P < 0.0001).

Marginal Effects—Costs for Bleeding at 6 Months

In patients with bleeding, compared to patients prescribed VKAs, those prescribed apixaban had significantly lower all-cause costs PPPM (mean [95%CI]) for total medical costs (€15.34 [15.09–15.58] vs. €32.61 [32.13–33.09], P < 0.0001) and total direct medical and non-medical costs (€16.23 [15.99–16.48] vs. €34.63 [34.16–35.10], P < 0.0001).

Discussion

In accordance with previous studies showing superior safety outcomes with apixaban vs. VKAs [7, 14, 23, 24], our results indicate that patients with VTE prescribed apixaban use significantly fewer healthcare resources such as outpatient visits, laboratory tests, and hospital stays (number and total length) than patients prescribed VKAs. The lower HCRU in the apixaban cohort also translated to significantly lower overall costs than in the VKA cohort, with the exception of drug and medical procedure costs, which were higher in the apixaban cohort. As expected, the costs for laboratory tests were much higher in the VKA cohort because of the need for INR monitoring. In the two cohorts, the main drivers of costs were outpatient visits and hospitalizations, which may respectively reflect scheduled follow-up visits after events and hospitalizations related to the events. In patients with VTE recurrence or bleeding, costs were higher in the VKA cohort than in the apixaban cohort.

The high costs of treating recurrent VTE and bleeding events place a burden on the healthcare system. Information on risks and costs of VTE recurrence and bleeding events in VTE patients receiving different anticoagulants is useful to payers in the healthcare system. The risk of VTE after an initial event is 5%–7% and is more than 50 times higher than in patients with no previous VTE events [25]. Additionally, the risk of major bleeding is a concern for patients prescribed anticoagulants [26]. In an observational study using French national claims data in hospitalized adults with VTE based on the same dataset as the current study, patients prescribed apixaban had significantly lower risks of recurrent VTE and bleeding leading to hospitalization than patients prescribed VKAs [14], similar to what was reported in a US claims database study [23].

Similar to the results of the present study, a US Medicare claims study of patients ≥ 65 years with VTE found that patients prescribed warfarin had significantly higher all-cause healthcare and medical costs than patients prescribed apixaban, although recurrent VTE-related medical costs were similar between the cohorts [12]. While both that study and the present study used 1:1 PS matching and had similar numbers of patients, differences in the patient profiles (e.g., age) may have resulted in dissimilarities of recurrent VTE costs. Also similar to the results of our study, a US Medicare claims database analysis of VTE patients with cancer found that patients treated with another DOAC, rivaroxaban, had fewer outpatient visits and hospitalization days than patients treated with LMWH or warfarin [27]. However, in contrast to our study, even though VTE-related costs were lower in the rivaroxaban cohort than in the LMWH cohort, VTE-related costs did not differ between the rivaroxaban and warfarin cohorts [27]. The differences between the findings of that study and the present study could be due to several factors, including the different settings, analysis of different DOACs, and cancer patient status. Our results are also in line with the results of several cost-effectiveness analyses using clinical trial data, which found that apixaban was cost-saving compared to VKAs in patients with acute VTE [28,29,30].

Strengths and Limitations

The strengths of this study include that this was the first comparative study to evaluate HCRU/costs of acute treatment of VTE in France, a country with universal healthcare. While the results of this analysis may not be directly comparable to other countries, they may be representative of other European countries with similar treatment patterns. Moreover, this study should be representative of hospitalized patients with VTE in France, as the French SNDS database includes approximately 99% of the French population. Additionally, the large study population gave high statistical power to detect differences between cohorts. However, the limitations of this study are that the PS matching excluded some patients from the analysis and was thus a potential source of selection bias. The list of variables considered for the PS matching was based on clinical rationale but was dictated by data availability in the SNDS. Clinical measures not available in the SNDS could not be used in PS matching, which may have resulted in unmeasured confounding. Lastly, non-prescription drugs were not included in our analysis as they are not included in the SNDS database. However, we expect that these drugs would have minimal impact on the total costs. Other strengths and limitations of our study design are presented in a previous publication [14].

Conclusions

When allocating healthcare resources for treating acute VTE, decision-makers should consider all key cost drivers of treating the disease and not drug unit costs alone. Mirroring the improved effectiveness and safety results vs. VKAs in real-world studies, apixaban may be cost-saving, despite its higher drug cost, when all direct medical and/or non-medical costs are considered. Based on overall costs, risk of bleeding, and recurrent VTE episodes, the results of our study are in line with published cost-effectiveness analyses and support clinical guidelines recommending physicians and caregivers prescribe apixaban over VKAs.