Cost-Effectiveness of Nivolumab Plus Ipilimumab versus Chemotherapy for Previously Untreated Metastatic NSCLC Using Mixture-Cure Survival Analysis Based on CheckMate 227 5-Year Data

基于CheckMate 227 5年数据的混合治愈生存分析,评估纳武利尤单抗联合伊匹木单抗与化疗治疗既往未接受治疗的转移性非小细胞肺癌的成本效益。

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Abstract

OBJECTIVES: This study assessed the cost-effectiveness of nivolumab plus ipilimumab (NIVO+IPI) versus platinum-doublet chemotherapy (chemo) in untreated metastatic non-small cell lung cancer (NSCLC) using mixture-cure modelling, an approach used to analyse immuno-oncology treatments due to their underlying methods depicting delayed but durable response in some patients. METHODS: A mixture-cure economic model was developed from a US third-party payer perspective to assess the lifetime costs and benefits of NIVO+IPI versus chemo using data from Part 1 of the phase III CheckMate 227 trial with 5 years of follow-up. The model consisted of four health states: progression-free without long-term response (non-LTR), progression-free with long-term response (LTR), post-progression, and death. The primary outcomes were the incremental cost per life-year (LY) and quality-adjusted life-year (QALY) gained for NIVO+IPI versus chemo over a patient's lifetime time horizon. Model uncertainty was evaluated using one-way sensitivity analyses and probabilistic sensitivity analysis. RESULTS: NIVO+IPI treatment showed a significant improvement in overall survival versus chemo; mean gain 1.69 LYs and 1.42 QALYs. The majority of the 4.04 LYs accrued by NIVO+IPI were in the LTR state (2.27 years). The incremental cost of NIVO+IPI versus chemo was US$125,321, resulting in an incremental cost/QALY gained of US$88,219. CONCLUSIONS: This study suggests NIVO+IPI may be a cost-effective first-line treatment when compared with chemo in a US setting given a threshold of US$150,000 per QALY. The cost-effectiveness analysis used a mixture-cure approach, which may offer a more appropriate modelling method in immuno-oncology given LTR, by more accurately capturing the potential treatment benefit.

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