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Vol. 46. Núm. 3.
Páginas 121-132 (Mayo - Junio 2022)
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Vol. 46. Núm. 3.
Páginas 121-132 (Mayo - Junio 2022)
ORIGINALS
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Cost-utility analysis of venetoclax in combination with obinutuzumab as first-line treatment of chronic lymphocytic leukaemia in Spain
Análisis coste-utilidad de venetoclax en combinación con obinutuzumab como tratamiento de primera línea de la leucemia linfocítica crónica en España
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Estela Moreno-Martínez1, Javier de la Serna-Torraba2, Vicente Escudero-Vilaplana3, José Ángel Hernández-Rivas4, Marina Sánchez-Cuervo5, Raquel Sánchez-Hernández6,
Autor para correspondencia
raquel.sanchezhernandez@abbvie.com

Author of correspondence Raquel Sánchez Hernández, Market Access Value Proposition, Manager Hematooncología, Avda. Burgos, 91, 28050 Madrid. Spain
1 Servicio de Farmacia, Hospital de la Santa Creu i Sant Pau, Barcelona. Spain
2 Servicio de Hematología, Hospital Universitario 12 de Octubre, Madrid. Spain
3 Servicio de Farmacia, Hospital Universitario Gregorio Marañón, Madrid. Spain
4 Servicio de Hematología, Hospital Universitario Infanta Leonor, Madrid. Spain
5 Servicio de Farmacia, Hospital Universitario Ramón y Cajal, Madrid. Spain
6 AbbVie Spain S. L. U., Madrid. Spain
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Tablas (5)
Table 1. Resource use and costs of analysis
Table 2. Base case results
Table 3. Results of the deterministic sensitivity analysis
Annex 1. Parametric distributions assessed to extrapolate the PFS and OS curves for VenO and ClbO, and the Akaike (AIC) and Bayesian (BIC) information criteria
Annex 2. Probabilistic sensitivity analysis: parameters and distributions
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Abstract
Objective

Venetoclax in combination with obinutuzumab has significantly improved efficacy versus immunochemotherapy (progression-free survival) in patients with chronic lymphocytic leukaemia who have not received prior treatment. The objective of this study was to evaluate its efficiency in Spain using a cost-utility analysis.

Method

Using a partitioned-survival analysis model adapted to the Spanish context and based on three health states (progression-free survival, survival after progression, and death), a simulation of the evolution of patients who were candidates for initiating first-line treatment was conducted for a lifetime time horizon. Venetoclax in combination with obinutuzumab was compared to the most commonly used therapeutic options for these patients at the time of study design: chlorambucil in combination with obinutuzumab, ibrutinib, fludarabine in combination with cyclophosphamide and rituximab, and bendamustine in combination with rituximab. In order to estimate survival curves, efficacy data were derived from the CLL14 trial and a network meta-analysis. The analysis was conducted from the perspective of the Spanish National Healthcare System and included direct healthcare costs (i.e. pharmacological costs and their administration), and those associated with the management of the disease and adverse events. The resource use was validated by an expert group. Quality of life data were used to estimate the quality-adjusted life years obtained for each alternative. A threshold of €25,000/quality-adjusted life years was used. The robustness of the model was evaluated using deterministic and probabilistic sensitivity analyses.

Results

Venetoclax in combination with obinutuzumab was shown to be a dominant alternative compared to the rest of the treatment alternatives, with a lower cost per patient (€-67,869 compared to chlorambucil in combination with obinutuzumab, €-375,952 compared to ibrutinib, €-61,996 compared to fludarabine in combination with cyclophosphamide and rituximab, and €-77,398 compared to bendamustine in combination with rituximab). It also had a greater gain in quality-adjusted life years (0.551 quality-adjusted life years gained compared to chlorambucil in combination with obinutuzumab and ibrutinib, 1.639 quality-adjusted life years gained compared to fludarabine in combination with cyclophosphamide and rituximab, and 1.186 quality-adjusted life years gained compared to bendamustine in combination with rituximab). Between 68% and 85% of the simulations performed in the sensitivity analysis showed that venetoclax in combination with obinutuzumab had lower costs and more quality-adjusted life years gained.

Conclusions

Venetoclax in combination with obinutuzumab is an efficient and dominant alternative for treating previously untreated patients with chronic lymphocytic leukaemia compared to the available alternatives and from the perspective of the Spanish National Health System.

KEYWORDS:
Chronic lymphocytic leukaemia
Efficiency
Economic evaluation
Quality of life
Venetoclax
Resumen
Objetivo

Venetoclax en combinación con obinutuzumab ha mostrado frente a la inmunoquimioterapia mejoras significativas en términos de eficacia (supervivencia libre de progresión) en pacientes con leucemia linfocítica crónica que no han recibido tratamiento previo. El objetivo de este estudio fue evaluar su eficiencia en España a partir de un análisis de coste-utilidad.

Método

A partir de un modelo de análisis de la supervivencia adaptado al contexto español y basado en tres estados de salud (supervivencia libre de progresión, supervivencia tras progresión y muerte), se llevó a cabo una simulación de la evolución de los pacientes candidatos a iniciar una primera línea de tratamiento para un horizonte temporal de toda la vida. Venetoclax en combinación con obinutuzumab se comparó frente a las opciones terapéuticas más utilizadas para estos pacientes en el momento del diseño del estudio: clorambucilo en combinación con obinutuzumab, ibrutinib, fludarabina en combinación con ciclofosfamida y rituximab, y bendamustina en combinación con rituximab. Los datos de eficacia para estimar las curvas de supervivencia fueron derivados del estudio CLL14 y de un metaanálisis en red. El análisis consideró la perspectiva del Sistema Nacional de Salud incluyendo los costes sanitarios directos, en concreto los farmacológicos y su administración, y los asociados al manejo de la enfermedad y acontecimientos adversos. El uso de recursos fue validado por un grupo de expertos. Se emplearon datos de calidad de vida para estimar los años de vida ajustados por calidad obtenidos para cada alternativa. Se consideró un umbral de 25.000 €/años de vida ajustados por calidad. La robustez del modelo se evaluó mediante análisis de sensibilidad determinísticos y probabilísticos.

Resultados

Venetoclax en combinación con obinutuzumab se mostró como una alternativa dominante frente al resto de alternativas de tratamiento, con un menor coste por paciente (-67.869 € frente a clorambucilo en combinación con obinutuzumab, -375.952 € frente a ibrutinib, -61.996 € frente a fludarabina en combinación con ciclofosfamida y rituximab, y -77.398 € frente a bendamustina en combinación con rituximab) y una mayor ganancia en años de vida ajustados por calidad (0,551 años de vida ajustados por calidad ganados frente a clorambucilo en combinación con obinutuzumab e ibrutinib, 1,639 años de vida ajustados por calidad ganados frente a fludarabina en combinación con ciclofosfamida y rituximab, y 1,186 años de vida ajustados por calidad ganados frente a bendamustina en combinación con rituximab). Entre el 68% y el 85% de las simulaciones realizadas en el análisis de sensibilidad mostraban a venetoclax en combinación con obinutuzumab con un menor coste y un mayor número de años de vida ajustados por calidad ganados.

Conclusiones

Venetoclax en combinación con obinutuzumab se muestra como una alternativa eficiente y dominante como tratamiento de pacientes con leucemia linfocítica crónica no tratados previamente frente a las alternativas disponibles y desde la perspectiva del Sistema Nacional de Salud.

PALABRAS CLAVE:
Leucemia linfocítica crónica
Eficiencia
Evaluación económica
Calidad de vida
Venetoclax
Texto completo
Introduction

Chronic lymphocytic leukaemia (CLL) is a lymphoproliferative disorder characterized by the expansion of mature-appearing CD5+ B cells in the peripheral blood, secondary lymphoid tissues, and bone marrow1. CLL is the most common form of leukaemia in adults in Western countries, with an estimated incidence of 4 to 5 cases per 100,000 population-years and a particularly significant prevalence in areas in which the population is older2. More than half of these patients have age-related comorbidities, such as hypertension, diabetes, osteoarthritis, or cardiorespiratory involvement3. The treatment decision is based on the presence or absence of adverse prognostic factors (deletion [17p], deletion [11q], TP53 mutation, IGHV mutational status) and on the functional status of the patient2.

In recent years, significant advances have been made in understanding the pathophysiology of CLL, and substantial progress has been made in the clinical management of the disease due to the identification of poor prognostic genetic variables, particularly those associated with chemoresistance and progression to highly aggressive forms of CLL4,5. Currently, chemoimmunotherapy is being displaced by biologic therapies, such as B-lymphocyte receptor inhibitors and BCL-2 inhibitors6,7.

Overexpression of BCL-2 contributes to the evasion of apoptosis, making tumour cells highly dependent on BCL-2 for their survival8. High expression of BCL-2 is observed uniformly across all CLL subtypes9. Venetoclax, the first selective BCL-2 inhibitor, restores the ability of tumour cells to initiate the process of apoptosis and, administered together with obinutuzumab, has a complementary and synergistic mechanism of action that provides high efficacy rates and profound responses, with a fixed duration of 1 year of treatment5,10. In the CLL14 trial, 2-year progression-free survival (PFS) was 88.2% (95% confidence interval [CI]: 83.7%-92.6%) in patients treated with venetoclax in combination with obinutuzumab (VenO) vs 64.1% (95% CI: 83.7%-92.6%) in the control group treated with chlorambucil in combination with obinutuzumab (ClbO)5. After a median follow-up of 28.1 months, these results showed a slow-down in the risk of progression or death with VenO (hazard ratio [HR] = 0.35; 95% CI: 0.23-0.53; P < 0.001). At data cutoff, the results of overall survival (OS) were immature, with the median not having been reached in either group (less than 10% of events in each arm)5. These results were confirmed at the subsequent cutoff time, after a median follow-up of 39.6 months, where PFS was 81.9% in the VenO arm and 49.5% in the ClbO arm. These results showed a slow-down in the risk of progression or death with VenO (HR = 0.31; 95% CI: 0.22-0.44; P < 0.001)11.

The aim of this study was to conduct a cost-utility analysis to determine whether VenO, which is a therapy indicated for previously untreated patients with CLL, would be an efficient intervention within the Spanish National Health System (NHS) compared to the therapeutic alternatives available in Spain.

MethodsStudy participants and comparators

The characteristics of the study population were matched to those of the patients included in the CLL14 Phase 3 clinical trial5 (i.e., patients with CLL who had not received prior treatment, 33% female, and a median age of 71.1 years).

At the time of study design, VenO was also compared to the most commonly used first-line alternative treatments in CLL patients: ClbO, fludarabine in combination with cyclophosphamide and rituximab (FCR), bendamustine in combination with rituximab (BR), and ibrutinib.

Type of analysis

It was estimated the mean cost and effectiveness per patient associated with each therapeutic alternative and calculated the incremental cost-utility ratio of VenO vs the other comparators to determine the additional cost of VenO to obtain 1 quality-adjusted life year (QALY).

The analysis was conducted from the perspective of the Spanish NHS, and included direct health care costs (updated to 2020 euros using the historical year-on-year consumer price index). The time horizon was extended to the patient's lifetime. An annual discount rate of 3% was applied to costs and clinical results12. The cost-effectiveness threshold was considered to be €25,000/QALY13.

The adaptation to the Spanish context was facilitated after consultation with an expert group selected based on their experience and knowledge of clinical practice. (i.e. the co-authors of the present study). After completing individual questionnaires, a base case was proposed for validation.

Structure of the model

A partitioned survival model14,15 was adapted to the Spanish setting. A model previously presented at the National Institute for Health and Clinical Excellence (NICE), and that simulated the evolution of patients with CLL who have not received previous treatment across different clinical situations (health states). Figure 1 shows a simplified schematic of the model, with three mutually exclusive health states: progression-free state, state after progression, and death. The proportion of patients who were alive for each cycle of the model (28-day cycles) was estimated from the area under the OS curve, and the proportion of patients who were alive free of progression was estimated from the area under the PFS curve. The proportion of patients who were alive after progression was estimated by the difference between the OS and PFS curves. The OS and PFS curves were estimated using parametric curves based on clinical evidence. To obtain the best estimate of the pharmacological cost, the model considered time-on-treatment information to measure discontinuation, which can occur due to adverse events (AEs) or disease progression. It should be noted that treatments with VenO, ClbO, FCR, and BR have a fixed duration, whereas the duration of treatment with ibrutinib is indefinite until disease progression or unacceptable toxicity. After discontinuation, patients were assumed to be able to receive subsequent treatments.

Figure 1.

Simplified outline of the model.

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Clinical data

The efficacy data used in the VenO and ClbO model were derived from the CLL14 trial5. Because the study follow-up period was shorter than the horizon used in the economic studies (i.e. the recommended horizon being the patient's lifetime), the PFS, OS, and time-on-treatment curves had to be extrapolated using parametric distribution functions fitted to Kaplan-Meier (KM) curves. A goodness-of-fit criteria was followed in order to decide which parametric distribution was the best fit. This criteria described how well a given distribution fits a set of observations (KM curves). Specifically, the Akaike and Bayesian information criteria15 were followed (Appendix 1). The parameterized curves were adjusted according to the overall mortality of the Spanish population16, thus preventing the survival curves estimated in the model from being above the survival of the general population.

In the absence of direct evidence on ibrutinib, FCR, and BR as comparators compared to VenO, the parametric curves were estimated using HRs vs VenO (reference treatment). These were obtained from a Bayesian fixed-effect network meta-analysis17. This approach allowed an indirect comparison of VenO vs ibrutinib, FCR, or BR. To derive the PFS curve for ibrutinib, FCR and BR, it was assumed the corresponding HRs relative to VenO derived from the network meta-analysis. A log-logistic distribution for the PFS curve for VenO and ClbO was used (Figure 2A).

Figure 2.

Survival curves and time to need for next treatment.

(0,18MB).

Regarding OS, it was assumed that there were no differences between VenO and ClbO based on the results of the CLL14 trial and corroborated by expert opinion. Thus, an exponential distribution was assumed for the purposes of extrapolation. To derive the OS curve for ibrutinib, FCR and BR, it was used the HRs relative to VenO derived from network meta-analyses (Figure 2B).

The analysis used time-on-treatment information to measure discontinuation. VenO, ClbO, FCR, and BR treatments have a fixed time duration (12 cycles for VenO and ClbO, 6 cycles for FCR and BR), whereas the duration of treatment with ibrutinib is considered to be indefinite until disease progression or unacceptable toxicity (a median of 60 months was assumed based on longer-term follow-up in the RESONATE-2 study, in which the median PFS was not reached4). After discontinuation, it was assumed that patients were able to receive subsequent treatments. For this purpose, a log-logistic distribution was assumed for VenO and ClbO, whereas the PFS curve was assumed for ibrutinib, FCR, and BR.

Quality of life

For the estimation of QALYs, different utility values were assumed depending on the health status of the patients. The utility values were used to represent the quality of life associated with a particular health status on a scale from 0 (death) to 1 (perfect health). Specifically, a utility of 0.80 was used for PFS health status (NICE TA174) and 0.68 for survival-after-progression status18,19. To represent the loss of utility (disutility) associated with increasing patient age, the defined utilities were adjusted by the utility according to the age of the general Spanish population derived from the Spanish National Health Survey (available from the Spanish National Institute of Statistics for 2011/12)20. The model also addressed disutility due to treatment-associated AEs. It was assumed that AEs, as well as their effects on quality of life and economic effects, occur in the first cycle of the analysis.

Resource use and costs

The analysis addressed the direct healthcare costs associated with the management of CLL (Table 1). The pharmacological cost, including treatments after progression, was calculated based on the laboratory selling price21. The use of resources and assumptions made were validated by clinical expert opinion.

Table 1.

Resource use and costs of analysis

Pharmacological cost
Treatment  Cost21  Comment  Treatment after progression
      Base case  Sensitivity analysis 
VenO5  € 101,975  Cost, 12 treatment cycles  50% Ibr, 50% VenR  90% Ibr, 10% VenR 
Venetoclax  € 70,215  12 treatment cycles     
Obinutuzumab  € 31,760  6 treatment cycles     
ibrutinib4,22  €400,473  Cost until progression (assuming 60 months following RESONATE-24100% Ven  100% VenR 
FCR23  € 10,323  Cost, 6 treatment cycles  50% Ibr, 50% VenR  −– 
BR23  € 12,499  Cost, 6 treatment cycles  50% Ibr, 50% VenR  25% Ibr, 75% VenR 
ClbO5  € 31,778  Cost, 12 treatment cycles  50% Ibr, 50% VenR  25% Ibr, 75% VenR 
  Treatment duration after progression (mo)Ibr: 41.022; VenR: 24.424; Ven: 16.025
Cost by administration route26
Intravenous administration€ 240.43Subcutaneous administration (first)€ 30.13 
Cost, disutility, and percentage of patients with adverse events
Adverse event*  Cost26  Disutility and duration  VenO5  ClbO5  Ibrutinib27  FCR28  BR23 
Weakness  € 592.61  −0.1 1529.30 (35.3 days)29  2.80%  0.50%  −  −  − 
Diarrhoea  € 454.65  −0.0819.31 (3.5 days)32  3.80%  0.50%  4.00%  −  7.00% 
Dyspnoea  € 178.52  −0.10329.30 (12.7 days)29  2.40%  0.50%  −  −  − 
Febrile neutropenia  € 2,749.45  −0.1530.32 (3.5 days)32  5.20%  3.70%  1.00%  −  − 
Infusion reactions  € 892.10  −0.232 (3.5 days)32  9.00%  10.30%  −  −  − 
Leukopenia  € 1,628.28  −0.09** (14.0 days)29  2.40%  4.70%  −  24.00%  48.00% 
Neutropenia  € 1,697.72  −0.0932.33 (3.5 days)32  52.80%  47.70%  12.00%  34.00%  59.00% 
Pneumonia  € 4,460.89  −0.19534 (18.2 days)35  5.70%  4.20%  −  −  9.00% 
Sepsis  € 6,866.85  −0.19534 (7.0 days)35  4.20%  1.40%  −  −  1.00% 
Thrombocytopenia  € 942.87  −0.10834 (23.2 days)35  13.70%  15.00%  −  7.00%  14.00% 
Costs associated with disease management
Health resources  Unit cost26  HEALTH STATE (annual units)
    Without progression  After progression 
Complete blood count  € 4.75  10 
Lactate dehydrogenase test  € 5.66 
Chest X-ray  € 38.20 
Bone marrow study  € 357.55 
Haematologist visit  € 86.76  10 
Other specialist visits  € 86.76 
Blood transfusion  €428.29 
Computed axial tomography (CAT) scan  € 162.66 
Biochemistry  € 1.69 
Liver function tests  € 17.51 
Blood immunoglobulin test  € 11.93 
Total annual cost    € 1,382  € 2,544 
Costs of terminal care at end-of-life6  € 3,874.01  (applied in the cycle before death)

BR: bendamustine in combination with rituximab; ClbO: chlorambucil in combination with obinutuzumab; FCR: fludarabine in combination with cyclophosphamide and rituximab; Ibr: ibrutinib; Ven: venetoclax; VenO: venetoclax in combination with obinutuzumab; VenR: venetoclax in combination rituximab.

*

Considered to be serious adverse events (neutropenia, febrile neutropenia, pneumonia, sepsis, and thrombocytopenia) and grade 3-4 with at least 2% difference beween VenO and ClbO identified in the CLL1 4 study. Assumed to occur in the first cycle of the model.

**

Assumed neutropenia.

Sensitivity analysis

Several sensitivity analyses were performed to assess the uncertainty of the variables used in the model and to determine the robustness of the base case results.

Firstly, results were obtained by varying the base case discount rate (0% and 5°%).

Given the differences in resource use in patient management indicated by the clinical experts, the annual cost of patient management in both the progression-free state and after progression was varied by ±20%. Discrepancies were also noted regarding the distribution of subsequent treatments after disease progression for each alternative treatment, except in the case of FCR, where it remained the same (Table 1).

A probabilistic sensitivity analysis was also performed by simultaneously modifying the model parameters according to an established distribution (Appendix 2). Specifically, 1000 simulations were performed using the Monte-Carlo method36.

Results

The base case results showed that the costs per patient were lower and the gains in QALYs were greater with VenO than with other treatment alternatives (Table 2). In terms of economic assessment, VenO was the dominant alternative.

Table 2.

Base case results

  VenO  ClbO  Ibr  FCR  BR 
Total cost per patient  € 162,897  € 237,587  € 538,849  € 232,574  € 248,208 
Associated with treatment  € 95,884  € 32,501  € 426,031  € 12,078  € 16,662 
Associated with patient follow-up  € 17,973  € 24,414  € 21,759  € 19,272  € 23,100 
Associated with subsequent treatments  € 43,079  € 175,218  € 88,140  € 197,313  € 203,274 
Other costs*  € 5,960  € 5,455  € 2,919  € 3,912  € 5,172 
QALYs  7.614  7.063  7.103  5.975  6.428 
Incremental cost  Reference  € −74,690  € −375,952  € −69,677  € −85,311 
Incremental QALYs  Reference  0.551  0.511  1.639  1.186 
ICER    € −135.554/AVAC VenO DOMINANT  € −735.718/AVAC VenO DOMINANT  € −42.512/AVAC VenO DOMINANT  € −71.932/AVAC VenO DOMINANT 

BR: bendamustine in combination with rituximab; ClbO: chlorambucil in combination with obinutuzumab; FCR: fludarabine in combination with cyclophosphamide and rituximab; Ibr: ibrutinib; ICER: incremental cost-effectiveness ratio; QALY: quality-adjusted life year; VenO: venetoclax in combination with obinutuzumab.

*

Adverse events, end-of-life cost, tumour lysis syndrome prophylaxis.

The lower cost of VenO vs ClbO, FCR, and BR was mainly due to a lower pharmacological cost of the subsequent treatments administered after progression. The lower cost of VenO vs ibrutinib as a comparator was mainly due to the shorter duration of time on treatment with VenO.

The sensitivity analyses supported these results. Table 3 shows the results of the deterministic sensitivity analyses. The probabilistic sensitivity analysis showed that 68% to 85% of the simulations performed identified VenO as the dominant alternative, with lower costs and more QALYs gained (Figure 3).

Table 3.

Results of the deterministic sensitivity analysis

  Incremental cost  Incremental QALY  IC ER
VenO vs  Discount rate, 0%
ClbO  € −105,645  0.723  € −146,131  Dominant 
FCR  € −75,703  2.282  € −33,177  Dominant 
BR  € −86,975  1.613  € −53,908  Dominant 
Ibr  € −436,534  0.706  € −617,890  Dominant 
VenO vs  Discount rate, 5%
ClbO  € −59,368  0.468  € −126,772  Dominant 
FCR  € −63,835  1.345  € −47,458  Dominant 
BR  € −81,565  0.989  € −82,474  Dominant 
Ibr  € −342,614  0.421  € −814,349  Dominant 
VenO vs  Cost of patient management free of progression, (−20%)
ClbO  € −76,223  0.551  € −138,259  Dominant 
FCR  € −71,259  1.639  € −43,475  Dominant 
BR  € −87,151  1.186  € −73,460  Dominant 
Ibr  € −377,024  0.511  € −738,164  Dominant 
VenO vs  Cost of patient management free of progression, (+20%)
ClbO  € −73,158  0.551  € −132,700  Dominant 
FCR  € −68,096  1.639  € −41,545  Dominant 
BR  € −83,471  1.186  € −70,358  Dominant 
Ibr  € −374,881  0.511  € −733,968  Dominant 
VenO vs  Cost of patient management after progression, (−20%)
ClbO  € −71,870  0.551  € −130,363  Dominant 
FCR  € −67,836  1.639  € −41,387  Dominant 
BR  € −82,446  1.186  € −69,494  Dominant 
Ibr  € −374,123  0.511  € −732,486  Dominant 
VenO vs  Cost of patient management after progression, (+20%)
ClbO  € −77,511  0.551  € −140,596  Dominant 
FCR  € −71,519  1.639  € −43,634  Dominant 
BR  € −88,177  1.186  € −74,324  Dominant 
Ibr  € −377,781  0.511  € −739,646  Dominant 
VenO vs  Cost of patient management free of progression and after progression, (−20%)
ClbO  € −73,402  0.551  € −133,143  Dominant 
FCR  € −69,418  1.639  € −42,352  Dominant 
BR  € −84,286  1.186  € −71,045  Dominant 
Ibr  € −375,195  0.511  € −734,583  Dominant 
VenO vs  Cost of patient management free of progression and after progression, (+20%)
ClbO  € −75,979  0.551  € −137,816  Dominant 
FCR  € −69,937  1.639  € −42,669  Dominant 
BR  € −86,337  1.186  € −72,773  Dominant 
Ibr  € −376,709  0.511  € −737,549  Dominant 
VenO vs  Distribution of subsequent treatments after progression, (Table 1)
ClbO  € −58,233  0.551  € −105,628  Dominant 
FCR  € −73,357  1.639  € −44,755  Dominant 
BR  € −65,630  1.186  € −55,319  Dominant 
Ibr  € −434,373  0.511  € −850,446  Dominant 

BR: bendamustine in combination with rituximab; ClbO: chlorambucil in combination with obinutuzumab; FCR: fludarabine in combination with cyclophosphamide and rituximab; Ibr: ibrutinib; ICER: incremental cost-effectiveness ratio; QALY: quality-adjusted life year; VenO: venetoclax in combination with obinutuzumab.

Figure 3.

Probabilistic sensitivity analysis.

(0,31MB).
Discussion

This study assessed the efficiency of VenO in the Spanish setting as a treatment for CLL in previously untreated patients against comparators that are commonly used in clinical practice and are indicated for such pathology. The results of this analysis were presented at the LXII National Congress of the Spanish Society of Haematology and Chemotherapy (SEHH) and at the XXXVI National Congress of the Spanish Society of Thrombosis and Haemostasis (SETH)37.

The modelled population was based on the CLL14 trial population, which included patients with unfavourable cytogenetic prognosis (including patients with 17p deletion and TP53 mutation). It is noteworthy that these patients were not excluded from the baseline study population, what can make the study population more representative of the real clinical practice. The pivotal ibrutinib trial, RESONATE-24, excluded patients with 17p deletion, which was thus a methodological limitation of the study design.

In the present study, VenO was considered to be the dominant alternative to all comparators because of the increased number of QALYs obtained and lower cost per patient. These results are mainly due to VenO achieving greater PFS due to its increased effectiveness and its lower pharmacological costs. The cost of using VenO was substantially lower than that of ibrutinib because VenO has a fixed treatment duration of 1 year, whereas ibrutinib has an indefinite treatment duration until disease progression or unacceptable toxicity (a median treatment duration of 60 months was assumed based on the RESONATE-24 study, in which the median PFS was not reached). This is also particularly relevant from a budgetary point of view because, in addition to being efficient, the VenO combination can generate savings in pharmaceutical expenditures (the pharmacological cost of treatment per patient is €101,975 with VenO compared to €400,473 with ibrutinib)38, while providing budgetary predictability due to the fixed duration of treatment. Compared to the other comparators, VenO has lower treatment costs after disease progression. This lower cost is due to the high rates of deep response achieved with VenO. Deep response is understood as the achievement of complete remission and undetectable minimal residual disease, which avoids or delays the initiation of a second line of treatment11. Costs related to patient follow-up are also lower with VenO than with the other alternatives because the patient remains longer in progression-free and treatment-free states.

Several cost-effectiveness studies on CLL in previously untreated patients have been conducted in other countries, but most of these studies were conducted prior to the approval of VenO and none have used this therapy as a comparator.

Soini et al. (2016) studied the cost-effectiveness of first-line treatments for CLL in patients ineligible for full-dose fludarabine39. The most cost-effective treatment was ClbO vs the other alternatives studied, such as chlorambucil in combination with ofatumumab, chlorambucil in combination with rituximab, and BR.

Furthermore, after the approval of ibrutinib, several studies conducted in other countries conducted economic analyses on its efficiency as first-line treatment for CLL40-42. Although the results of these studies are not directly applicable to Spain, all of them seem to agree that ibrutinib offers reasonable results in terms of PFS and QALYs, but it is not considered to be cost-effective.

Due to the type of analysis, the present study is limited by the need to extrapolate survival data to a longer-term horizon than the trial follow-up period. However, the extrapolation was based on the distributions with the best goodness-of-fit to the KM curves in the CLL study14. It would be relevant to perform additional analyses when longer-term CLL14 study follow-up data are obtained or to conduct real-world evidence studies.

On the other hand, in the absence of direct evidence related to the other comparators, except for ClbO5, an indirect comparison was performed by means of a network meta-analysis. This type of analysis is not free of limitations, which are mainly at the level of methodological similarity (i.e. heterogeneity between studies). Nevertheless, it is the only possible alternative in order to be able to compare treatments that have not been directly compared in clinical trials. Other limitations are the differences in methodology and the patient selection procedure between the clinical trials chosen for each treatment. To increase the external validity of this type of analysis, all pivotal clinical trials for CLL treatments should include the same type of patients (not excluding those with unfavourable prognosis) and demonstrate efficacy and safety data over the same time horizon. At the time the CLL14 study was designed, ClbO was the standard treatment for this type of patient, although currently ibrutinib is considered to be the standard treatment for previously untreated CLL patients with the 17p deletion or TP53 mutation.

In conclusion, this study shows that VenO is emerging as an efficient and dominant alternative for the treatment of CLL in previously untreated patients in Spain. According to our analysis, the introduction of VenO in the Spanish NHS could reduce treatment costs, costs associated with patient follow-up, and the costs of subsequent treatments after progression, as well as improve the life expectancy and quality of life of Spanish patients with CLL.

Funding

The study was conducted with funding from AbbVie Spain. No honoraria or authorship payments were made.

Acknowledgments

The authors would like to thank Ferrán Pérez Alcántara and Irene Ambatlle Jiménez of Oblikue Consulting for their support in study design, data analysis, and drafting the manuscript. These services were funded by AbbVie.

Conflicts of interest

Estela Moreno Martínez has received honoraria for her participation in training activities, lectures, and expert panels from AbbVie, Amgen, Astellas, Astrazeneca, Boehringer-Ingelheim, Bristol-Myers Squibb, Fresenius Kabi, Incyte Biosciences Iberia, Ipsen, Janssen, Merck SL, Merck Sharp & Dohme, Novartis, Pierre Fabre, Roche, Sanofi and Tesaro.

Javier de la Serna Torroba has received honoraria for his participation in training activities, lectures, and expert panels from AbbVie, AstraZeneca, Beigene Gilead, Janssen and Roche.

Vicente Escudero Vilaplana has conducted training support activities or received fees for lectures or consulting services from AbbVie, Astellas, Bristol-Myers Squibb, GlaxoSmithKline, Janssen, Merck Sharp & Dohme, Novartis and Pfizer.

José Ángel Hernández Rivas has been a consultant and lecturer for Janssen, AbbVie, Gilead, Roche, BMS-Celgene, Takeda, AstraZeneca and Beigene.

Marina Sánchez Cuervo has participated in consultancies for AbbVie. Raquel Sánchez Hernández is an employee of AbbVie and may own AbbVie stock.

Presentation at Congresses

LXII Congreso Nacional de la Sociedad Española de Hematología y Hemoterapia and XXXVI Congreso Nacional de la Sociedad Española de Trombosis y Hemostasia. Virtual; October 26-30, 2020.

Contribution to the scientific literature

This is the first cost-utility study to assess the potential efficiency of including venetoclax in combination with obinutuzumab in the pharmaceutical provision of the Spanish National Health System as an alternative for the treatment of chronic lymphocytic leukaemia in previously untreated patients in Spain.

Annex 1: Parametric distributions assessed to extrapolate the PFS and OS curves for VenO and ClbO, and the Akaike (AIC) and Bayesian (BIC) information criteria

Annex 1.

Parametric distributions assessed to extrapolate the PFS and OS curves for VenO and ClbO, and the Akaike (AIC) and Bayesian (BIC) information criteria

  PLSOS
Distribución  AICBICAIC  BIC 
  VenO  ClbO  VenO  ClbO  VenO and ClbO
Exponential  779.68  1,796.62  786.39  1,803.32  1,023.74  1,035.88 
Weibull  780.45  1,766.70  790.52  1,776.74  1,025.50  1,041.68 
Gompertz  778.49  1,773.38  788.56  1,783.42  1,024.99  1,041.17 
Log-logistic  781.14  1,759.73  791.21  1,769.77  1,024.82  1,041.00 
Log-normal  783.00  1,761.13  793.07  1,771.17  1,022.97  1,039.15 
Gamma  780.61  1,763.38  790.68  1,773.43  1,025.41  1,041.59 
Generalized gamma  782.08  1,763.03  795.50  1,776.42  1,024.40  1,044.62 

AIC: Akaike information criteria; BIC: Bayesian information criteria; ClbO: chlorambucil in combination with obinutuzumab; OS: overall survival; PFS: progression-free survival; VenO: venetoclax in combination with obinutuzumab.

Annex 2.

Probabilistic sensitivity analysis: parameters and distributions

Variable  Deterministic value  Standard error  Distribution  Parameter 1  Parameter 2 
Characteristics of the population
Women (%)  33%  0.023  Beta  142.6690  288.3310 
Age  71.08  0.390  Normal  71.0787  0.3897 
Weight  70.00  0.774  Normal  70.0000  0.7736 
Utilities by health state
Utility status without progression  0.80  0.080  Beta  19.2000  4.8000 
Utility status after progression  0.68  0.068  Beta  31.3200  14.7388 
Resource use by health state
Without progression: Complete blood count  0.613  0.061  Gamma  100.0000  0.0061 
Without progression: Lactate dehydrogenase test  0.537  0.054  Gamma  100.0000  0.0054 
Progression free: Chest X-Ray  0.077  0.008  Gamma  100.0000  0.0008 
Progression free: Haematologist visit  0.613  0.061  Gamma  100.0000  0.0061 
Progression free: Other specialist visits  0.077  0.008  Gamma  100.0000  0.0008 
Progression free: Computed axial tomography (CAT) scan  0.153  0.015  Gamma  100.0000  0.0015 
Progression free: Biochemistry  0.613  0.061  Gamma  100.0000  0.0061 
Progression free: Liver function tests  0.537  0.054  Gamma  100.0000  0.0054 
Progression free: Blood immunoglobulin test  0.153  0.015  Gamma  100.0000  0.0015 
After progression: Complete blood count  0.767  0.077  Gamma  100.0000  0.0077 
After progression: Lactate dehydrogenase assay  0.613  0.061  Gamma  100.0000  0.0061 
After progression: Chest X-ray  0.077  0.008  Gamma  100.0000  0.0008 
After progression: Bone marrow study  0.077  0.008  Gamma  100.0000  0.0008 
After progression: Haematologist visit  0.767  0.077  Gamma  100.0000  0.0077 
After progression: Other specialist visits  0.230  0.023  Gamma  100.0000  0.0023 
After progression: Blood transfusion  0.077  0.008  Gamma  100.0000  0.0008 
After progression: Computed axial tomography (CAT) scan  0.153  0.015  Gamma  100.0000  0.0015 
After progression: Biochemistry  0.690  0.069  Gamma  100.0000  0.0069 
After progression: Liver function tests  0.537  0.054  Gamma  100.0000  0.0054 
After progression: Blood immunoglobulin test  0.230  0.023  Gamma  100.0000  0.0023 
Costs
Complete blood count  € 4.75  0.475  Gamma  100.0000  0.0475 
Lactate dehydrogenase test  € 5.66  0.566  Gamma  100.0000  0.0566 
Chest X-ray  € 38.20  3.820  Gamma  100.0000  0.3820 
Bone marrow study  € 357.55  35.755  Gamma  100.0000  3.5755 
Haematologist visit  € 86.76  8.676  Gamma  100.0000  0.8676 
Other specialist visits  € 86.76  8.676  Gamma  100.0000  0.8676 
Blood transfusion  €428.29  42.829  Gamma  100.0000  4.2829 
Terminal care at end of life  € 3,874.01  387.401  Gamma  100.0000  38.7401 
Computed axial tomography (CAT) scan  € 162.66  16.266  Gamma  100.0000  1.6266 
Biochemistry  € 1.69  0.169  Gamma  100.0000  0.0169 
Liver function tests  € 17.51  1.751  Gamma  100.0000  0.1751 
Blood immunoglobulin test  € 11.93  1.193  Gamma  100.0000  0.1193 
Cost by administration route
Intravenous administration  € 240.43  24.043  Gamma  100.0000  2.4043 
Subcutaneous administration  € 30.13  3.013  Gamma  100.0000  0.3013 
Treatment duration after progression
Ibrutinib (mo)  41.0  4.100  Gamma  100.0000  0.4100 
Venetoclax in combination con rituximab (mo)  24.4  2.440  Gamma  100.0000  0.2440 
Venetoclax monotherapy (mo)  16.0  1.600  Gamma  100.0000  0.1600 
Percentage of patients with adverse events
VenO: Weakness  2.80%  0.011  Gamma  6.1070  0.0046 
VenO: Diarrhoea  3.80%  0.013  Gamma  8.3742  0.0045 
VenO: Dyspnoea  2.40%  0.011  Gamma  5.2131  0.0046 
VenO: Febrile neutropenia  5.20%  0.015  Gamma  11.6287  0.0045 
VenO: Infusion reactions  9.00%  0.020  Gamma  20.9670  0.0043 
VenO: Leukopenia  2.40%  0.011  Gamma  5.2131  0.0046 
VenO: Neutropenia  52.80%  0.034  Gamma  237.1525  0.0022 
VenO: Pneumonia  5.70%  0.016  Gamma  12.8144  0.0044 
VenO: Sepsis  4.20%  0.014  Gamma  9.2944  0.0045 
VenO: Thrombocytopenia  13.70%  0.024  Gamma  33.6547  0.0041 
ClbO: Weakness  0.50%  0.005  Gamma  1.0754  0.0046 
ClbO: Diarrhoea  0.50%  0.005  Gamma  1.0754  0.0046 
ClbO: Dyspnoea  0.50%  0.005  Gamma  1.0754  0.0046 
ClbO: Febrile neutropenia  3.70%  0.013  Gamma  8.2222  0.0045 
ClbO: Infusion reactions  10.30%  0.021  Gamma  24.5730  0.0042 
ClbO: Leukopenia  4.70%  0.014  Gamma  10.5540  0.0045 
ClbO: Neutropenia  47.70%  0.034  Gamma  195.1778  0.0024 
ClbO: Pneumonia  4.20%  0.014  Gamma  9.3820  0.0045 
ClbO: Sepsis  1.40%  0.008  Gamma  3.0385  0.0046 
ClbO: Thrombocytopenia  15.00%  0.024  Gamma  37.7647  0.0040 
FCR: Leukopenia  24.00%  0.021  Gamma  127.5789  0.0019 
FCR: Neutropenia  34.00%  0.024  Gamma  208.1212  0.0016 
FCR: Thrombocytopenia  7.00%  0.013  Gamma  30.4086  0.0023 
BR: Diarrhoea  7.00%  0.015  Gamma  21.0000  0.0033 
BR: Leukopenia  48.00%  0.030  Gamma  257.5385  0.0019 
BR: Neutropenia  59.00%  0.029  Gamma  401.4878  0.0015 
BR: Pneumonia  9.00%  0.017  Gamma  27.5934  0.0033 
BR: Sepsis  1.00%  0.006  Gamma  2.8182  0.0035 
BR: Thrombocytopenia  14.00%  0.021  Gamma  45.4186  0.0031 
Ibrutinib: Diarrhoea  4.00%  0.017  Gamma  5.6667  0.0071 
Ibrutinib: Febrile neutropenia  1.00%  0.009  Gamma  1.3737  0.0073 
Ibrutinib: Neutropenia  12.00%  0.028  Gamma  18.5455  0.0065 
Disutilities and duration by adverse event
Weakness  0.115  0.012  Gamma  100.0000  0.0012 
Diarrhoea  0.080  0.005  Gamma  256.0000  0.0003 
Dyspnoea  0.103  0.010  Gamma  100.0000  0.0010 
Febrile neutropenia  0.150  0.015  Gamma  100.0000  0.0015 
Infusion reactions  0.200  0.020  Gamma  100.0000  0.0020 
Leukopenia  0.090  0.009  Gamma  100.0000  0.0009 
Neutropenia  0.090  0.002  Gamma  3164.0625  0.0000 
Pneumonia  0.195  0.004  Gamma  2500.0000  0.0001 
Sepsis  0.195  0.004  Gamma  2500.0000  0.0001 
Thrombocytopenia  0.108  0.012  Gamma  81.0000  0.0013 
Weakness, duration (d)  35.33  3.533  Gamma  100.0000  0.3533 
Diarrheal, duration (d)  3.50  0.350  Gamma  100.0000  0.0350 
Dyspnoea, duration (d)  12.70  1.270  Gamma  100.0000  0.1270 
Febrile neutropenia, duration (d)  3.50  0.350  Gamma  100.0000  0.0350 
Infusion reactions, duration (d)  3.50  0.350  Gamma  100.0000  0.0350 
Leukopenia, duration (d)  14.00  1.400  Gamma  100.0000  0.1400 
Neutropenia, duration (d)  3.50  0.350  Gamma  100.0000  0.0350 
Pneumonia, duration (d)  18.21  1.821  Gamma  100.0000  0.1821 
Sepsis, duration (d)  7.00  0.700  Gamma  100.0000  0.0700 
Thrombocytopenia, duration (d)  23.20  2.320  Gamma  100.0000  0.2320 
Cost of managing adverse events
Weakness  € 592.61  59.261  Gamma  100.0000  5.9261 
Diarrhoea  € 454.65  45.465  Gamma  100.0000  4.5465 
Dyspnoea  € 178.52  17.852  Gamma  100.0000  1.7852 
Febrile neutropenia  € 2,749.45  274.945  Gamma  100.0000  27.4945 
Infusion reactions  € 892.10  89.210  Gamma  100.0000  8.9210 
Leukopenia  € 1,628.28  162.828  Gamma  100.0000  16.2828 
Neutropenia  € 1,697.72  169.772  Gamma  100.0000  16.9772 
Pneumonia  € 4,460.89  446.089  Gamma  100.0000  44.6089 
Sepsis  € 6,866.85  686.685  Gamma  100.0000  68.6685 
Thrombocytopenia  € 942.87  94.287  Gamma  100.0000  9.4287 

BR: bendamustine in combination with rituximab; ClbO: chlorambucil in combination with obinutuzumab; FCR: fludarabine in combination with cyclophosphamide and rituximab; VenO: venetoclax in combination with obinutuzumab.

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Early Access date (04/19/2022).

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