The cost-effectiveness of dacomitinib in first-line treatment of advanced/metastatic epidermal growth factor receptor mutation-positive non-small-cell lung cancer (EGFRm NSCLC) in Sweden.

AIMS: Although the benefit of first-line epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) over chemotherapy in EGFR mutation-positive (EGFRm) non-small-cell lung cancer (NSCLC) has been demonstrated in clinical trials, the optimal treatment sequence remains unclear. The objective of our study was to evaluate the cost-effectiveness of dacomitinib in Sweden vs afatinib and osimertinib in first-line treatment of EGFRm NSCLC. MATERIALS AND METHODS: A partitioned survival model was developed with three health states: progression-free, post-progression, and death. Progression-free and overall survival curves were used to inform movements between states. Clinical data were taken from randomized trials, compared via a network meta-analysis (NMA). Utility data were taken from published studies and costs from national Swedish sources. The model used a 15-year time horizon and a Swedish healthcare payer perspective. Sensitivity and scenario analyses were performed. RESULTS: The base-case analysis showed that dacomitinib accrued a total of 2.10 quality-adjusted life-years (QALYs) at a total cost of Swedish krona (SEK) 874,615. The incremental cost-effectiveness ratio (ICER) for dacomitinib vs afatinib was SEK 461,556 per QALY gained. The ICER of osimertinib vs dacomitinib, where the small QALY gains of the former came at a high additional cost, was SEK 11,444,709. Deterministic and probabilistic sensitivity analyses confirmed the robustness of these results; changes to drug and medical resource use costs and overall survival had the greatest impact on ICER estimates. LIMITATIONS: This model is subject to uncertainty associated with extrapolating long-term treatment effects from shorter trial follow-up periods, although this would also be a limitation when using direct comparison or time-dependent hazard ratios. The NMA was limited by the use of indirect comparison, although sensitivity analyses supported the robustness of our findings. CONCLUSIONS: Our model demonstrated that dacomitinib is cost-effective for first-line EGFRm NSCLC treatment in Sweden vs afatinib and osimertinib.

Cost-effectiveness of carfilzomib plus dexamethasone compared with bortezomib plus dexamethasone for patients with relapsed or refractory multiple myeloma in the United States.

BACKGROUND: We assessed the economic value of carfilzomib 56 mg/m2 and dexamethasone (Kd56) vs. bortezomib and dexamethasone (Vd) for relapsed/refractory multiple myeloma (R/RMM) using ENDEAVOR trial results. METHODS: Cost-effectiveness of Kd56 vs. Vd was assessed using a partitioned survival model by estimating progression-free survival, overall survival, and direct costs over a lifetime horizon. Surveillance Epidemiology and End Results (SEER) survival data were extrapolated after matching registry and ENDEAVOR patients. Utilities were sourced from the literature and mapped from patient-reported quality of life in ENDEAVOR to estimate quality-adjusted life-years (QALYs) from life-years (LYs). RESULTS: The model predicted an average gain of 1.66 LYs and 1.50 QALYs with Kd56 vs. Vd, and lifetime additional costs of $182,699, resulting in an incremental cost-effectiveness ratio (ICER) of $121,828/QALY gained. The ICER was $114,793/QALY in patients with 1 prior treatment; $99,263/QALY in those not transplanted, and <$150,000/QALY up to an 85% discount in bortezomib price. CONCLUSIONS: Kd56 is cost-effective for patients with R/RMM at a willingness-to-pay threshold of $150,000/QALY. Trial data in the model may limit generalizability; however, SEER registry data mitigates this challenge. Kd56 provides additional value in key subgroups, and remains cost-effective after steep comparator discounts.

Cost-effectiveness of adding carfilzomib to lenalidomide and dexamethasone in relapsed multiple myeloma from a US perspective.

OBJECTIVE: To assess the economic value of carfilzomib (Kyprolis), this study developed the Kyprolis Global Economic Model (K-GEM), which examined from a United States (US) payer perspective the cost-effectiveness of carfilzomib-lenalidomide-dexamethasone (KRd) versus lenalidomide-dexamethasone (Rd) in relapsed multiple myeloma (RMM; 1-3 prior therapies) based on results from the phase III ASPIRE trial that directly compared these regimens. METHODS: A partitioned survival model that included three health states of progression-free (on or off treatment), post-progression, and death was developed. Using ASPIRE data, the effect of treatment regimens as administered in the trial was assessed for progression-free survival and overall survival (OS). Treatment effects were estimated with parametric regression models adjusting for baseline patient characteristics and applied over a lifetime horizon. US Surveillance, Epidemiology and End Results (1984-2014) registry data were matched to ASPIRE patients to extrapolate OS beyond the trial. Estimated survival was adjusted to account for utilities across health states. The K-GEM considered the total direct costs (pharmacy/medical) of care for patients treated with KRd and Rd. RESULTS: KRd was estimated to be more effective compared to Rd, providing 1.99 life year and 1.67 quality-adjusted life year (QALY) gains over the modeled horizon. KRd-treated patients incurred $179,393 in total additional costs. The incremental cost-effectiveness ratio (ICER) was $107,520 per QALY. LIMITATIONS: Extrapolated survival functions present the greatest uncertainty in the modeled results. Utilities were derived from a combination of sources and assumed to reflect how US patients value their health state. CONCLUSIONS: The K-GEM showed KRd is cost-effective, with an ICER of $107,520 per QALY gained against Rd for the treatment of patients with RMM (1-3 prior therapies) at a willingness-to-pay threshold of $150,000. Reimbursement of KRd for patients with RMM may represent an efficient allocation of the healthcare budget.

Optimizing early detection of avian influenza H5N1 in backyard and free-range poultry production systems in Thailand.

For infectious diseases such as highly pathogenic avian influenza caused by the H5N1 virus (A/H5N1 HP), early warning system is essential. Evaluating the sensitivity of surveillance is a necessary step in ensuring an efficient and sustainable system. Stochastic scenario tree modeling was used here to assess the sensitivity of the A/H5N1 HP surveillance system in backyard and free-grazing duck farms in Thailand. The whole surveillance system for disease detection was modeled with all components and the sensitivity of each component and of the overall system was estimated. Scenarios were tested according to selection of high-risk areas, inclusion of components and sampling procedure, were tested. Nationwide passive surveillance (SSC1) and risk-based clinical X-ray (SSC2) showed a similar sensitivity level, with a median sensitivity ratio of 0.96 (95% CI 0.40-15.00). They both provide higher sensitivity than the X-ray laboratory component (SSC3). With the current surveillance design, the sensitivity of detection of the overall surveillance system when the three components are implemented, was equal to 100% for a farm level prevalence of 0.05% and 82% (95% CI 71-89%) for a level of infection of 3 farms. Findings from this study illustrate the usefulness of scenario-tree modeling to document freedom from diseases in developing countries.