Assessment of the Economic Impact of Belimumab for the Treatment of Systemic Lupus Erythematosus in the Italian Setting: A Cost-Effectiveness Analysis

OBJECTIVE: The purpose of this analysis is to evaluate the cost-effectiveness of belimumab, a new biological treatment specifically developed for the treatment of Systemic Lupus Erythematosus (SLE), in the Italian setting. SLE is a chronic non-organ specific autoimmune disease characterized by a disregulation of the immune system that involves many organs and systems. METHODS: A cost-effectiveness micro-simulation model with a lifetime horizon originally developed for the UK was adapted to the Italian setting. The analysis compared Standard of Care (SoC) alone vs belimumab plus SoC from a National Healthcare Service (NHS) and societal perspective. Health-economic consequences of treatments and organ damage progression were calculated. When available, Italian data were used, otherwise UK costs were converted using Purchasing Power Parities (PPPs). Utility values were based on the EQ-5D™ assessments in the belimumab clinical trials (BLISS 52 and 76). Results were discounted with 3% for costs and effects. A maximum belimumab treatment duration of 6 years was assumed and wastage costs were considered. RESULTS: Cost per life year gained (Incremental Cost-Effectiveness Ratio, ICER) and cost per Quality Adjusted Life Year (QALY) (Incremental Cost-Utility Ratio, ICUR) were €22,990 and €32,859, respectively. These values reduced to €20,119 and €28,754, respectively, when indirect costs were included. CONCLUSIONS: It may be concluded that in the Italian setting and according to the guidelines of the Italian Association of Health Economics (IAHE), belimumab was shown to be cost-effective, in terms of both ICER and ICUR, (€25-40,000/QALY)

Health Technology Assessment of Belimumab: A New Monoclonal Antibody for the Treatment of Systemic Lupus Erythematosus

Objective. Systemic lupus erythematosus (SLE) is treated with anti-inflammatory and immunosuppressive drugs and off-label biologics. Belimumab is the first biologic approved after 50 years as an add-on therapy for active disease. This paper summarizes a health technology assessment performed in Italy. Methods. SLE epidemiology and burden were assessed using the best published international and national evidences and efficacy and safety of belimumab were synthesized using clinical data. A cost-effectiveness analysis was performed by a lifetime microsimulation model comparing belimumab to standard of care (SoC). Organizational and ethical implications were discussed. Results. Literature review showed that SLE affects 47 per 100,000 people for a total of 28,500 patients in Italy, 50% of whom are affected by active form of the disease despite SoC. These patients, if autoantibodies and anti-dsDNA positive with low complement, are eligible for belimumab. SLE determines work disability and a 2-5-fold increase in mortality. Belimumab with SoC may prevent 4,742 flares in three years being cost-effective with an incremental costeffectiveness ratio of C32,859 per quality adjusted life year gained. From the organizational perspective, the development of clear and comprehensive clinical pathways is crucial. Conclusions. The assessment supports the use of belimumab into the SLE treatment paradigm in Italy

Cost-effectiveness: base case results.

<p>^<i>a</i><i>QALYs</i>: Quality Adjusted Life Years</p><p>^b<i>ICUR</i>: Incremental Cost-Utility Ratio</p><p>^c<i>ICER</i>: Incremental Cost-Effectiveness Ratio</p><p>Cost-effectiveness: base case results.</p

Survival time course.

<p>Survival time course.</p

Average SLEDAI time course.

<p>Average SLEDAI time course.</p

PSA results: scatterplot and acceptability course.

<p>PSA results: scatterplot and acceptability course.</p

Treatment and organ damage costs per patient.

<p>Treatment and organ damage costs per patient.</p

Organ damage occurrence in SLE patients until death.

<p>Organ damage occurrence in SLE patients until death.</p

Modeled interdependencies between SLE related variables.

<p>Modeled interdependencies between SLE related variables.</p