Cost-Effectiveness of Lisocabtagene Maraleucel Versus Axicabtagene Ciloleucel and Tisagenlecleucel in the Third-Line or Later Treatment Setting for Relapsed or Refractory Large B-cell Lymphoma in the United States.

INTRODUCTION: The objective of this study was to evaluate the cost-effectiveness of lisocabtagene maraleucel (liso-cel) versus other available chimeric antigen receptor T-cell therapies, including axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel), in patients who had received at least two prior therapies from a United States (US) commercial third-party payer perspective. METHODS: To capture this heterogeneity in survival outcomes, we used mixture cure models to extrapolate progression-free survival (PFS) and overall survival (OS). Patient-level data from TRANSCEND NHL 001 for liso-cel and reconstructed patient-level data from ZUMA-1 for axi-cel, JULIET for tisa-cel, and SCHOLAR-1 for salvage chemotherapy, derived using the Guyot method, were used for OS and PFS. The model included adverse events associated with liso-cel, axi-cel, and tisa-cel. RESULTS: Liso-cel was less costly (incremental cost of - $74,980) and marginally more effective (0.002 incremental quality-adjusted life-years [QALY]) than axi-cel and had an incremental cost of $67,925 and 2.02 incremental QALYs over tisa-cel in the base case. Results remained consistent in sensitivity analyses, with the liso-cel OS cure fraction being the main driver of cost-effectiveness compared with both axi-cel and tisa-cel. CONCLUSION: This analysis estimated that liso-cel is cost-effective compared with tisa-cel and axi-cel from a commercial US payer perspective.

Modeling long-term health and economic implications of new treatment strategies for Parkinson's disease: an individual patient simulation study.

Background: Simulation modeling facilitates the estimation of long-term health and economic outcomes to inform healthcare decision-making. Objective: To develop a framework to simulate progression of Parkinson's disease (PD), capturing motor and non-motor symptoms, clinical outcomes, and associated costs over a lifetime. Methods: A patient-level simulation was implemented accounting for individual variability and interrelated changes in common disease progression scales. Predictive equations were developed to model progression for newly diagnosed patients and were combined with additional sources to inform long-term progression. Analyses compared a hypothetical disease-modifying therapy (DMT) with a standard of care to explore the drivers of cost-effectiveness. Results: The equations captured the dependence between the various measures, leveraging prior values and rates of change to obtain realistic predictions. The simulation was built upon several interrelated equations, validated by comparison with observed values for the Movement Disorder Society Unified PD Rating Scale (MDS-UPDRS) and UPDRS subscales over time. In a case study, disease progression rates, patient utilities, and direct non-medical costs were drivers of cost-effectiveness. Conclusions: The developed equations supported the simulation of early PD. This model can support conducting simulations to inform internal decision-making, trial design, and strategic planning early in the development of new DMTs entering clinical trials.