Cost-effectiveness of Response-Adapted De-escalation of Immunotherapy in Advanced Melanoma.


Journal

JAMA dermatology
ISSN: 2168-6084
Titre abrégé: JAMA Dermatol
Pays: United States
ID NLM: 101589530

Informations de publication

Date de publication:
01 12 2022
Historique:
pubmed: 20 10 2022
medline: 24 12 2022
entrez: 19 10 2022
Statut: ppublish

Résumé

Combination immunotherapy with nivolumab and ipilimumab has markedly improved outcomes for patients with advanced melanoma. However, these therapies pose a considerable financial burden to both patients and the health care system. The ADAPT-IT trial demonstrated comparable progression-free and overall survival for patients with response-adapted ipilimumab discontinuation compared with standard of care (SOC). To determine the cost-effectiveness of ipilimumab discontinuation for patients with interim imaging-confirmed tumor response in the treatment of advanced melanoma. This cost-effectiveness analysis was performed using data from the ADAPT-IT (follow-up of 33 months) and CheckMate 067 (follow-up of 6.5 years) trials, as well as published literature over the ADAPT-IT trial duration of 33 months. The analysis was performed in a US setting from a US-payer perspective, and the willingness-to-pay (WTP) threshold was set at $100 000/quality-adjusted life-year (QALY). A total of 355 patients with previously untreated melanoma (unresectable stage III or IV metastatic melanoma) were included. Response-adapted ipilimumab discontinuation compared with SOC therapy. The primary outcomes of the CheckMate trial were overall survival and progression-free survival, while that of ADAPT-IT was objective response. This informed a decision model to estimate lifetime costs and QALYs associated with both strategies. Incremental cost, effectiveness, and cost-effectiveness ratio were assessed. Sensitivity and scenario analyses were performed to account for variability in trials and input parameters. Of the 355 patients included in the analysis, 41 patients were from the ADAPT-IT trial (median age, 65 years; 28 [68%] male) and 314 patients from the CheckMate 067 trial (median age, 61 years; 206 [66%] male). Response-adapted treatment was the cost-effective option in 94.0% of scenarios based on Monte Carlo simulations, with a dominant incremental cost-effectiveness ratio and an incremental net monetary benefit of $28 849 compared with SOC therapy. Cost savings were estimated at $19 891 per patient compared with SOC. In scenario analyses, current SOC was only considered as a cost-effective option under best survival assumptions and if the willingness-to-pay threshold exceeded $630 000/QALY. This economic evaluation demonstrated that response-adapted treatment de-escalation in patients with advanced melanoma may lead to considerable savings in health care costs and could represent the most cost-effective strategy across various resource settings. Future trials should aim to provide further evidence on noninferiority.

Identifiants

pubmed: 36260321
pii: 2797534
doi: 10.1001/jamadermatol.2022.4556
pmc: PMC9582967
doi:

Substances chimiques

Ipilimumab 0
Nivolumab 31YO63LBSN

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1387-1393

Auteurs

Zachary Cartun (Z)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
Department of Radiology, University of Massachusetts Medical School, Worcester.

Wolfgang G Kunz (WG)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Lucie Heinzerling (L)

Department of Dermatology and Allergology, University Hospital, LMU Munich, Munich, Germany.
Department of Dermatology and Allergology, University Hospital Erlangen, Friedrich Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Dirk Tomsitz (D)

Department of Dermatology and Allergology, University Hospital, LMU Munich, Munich, Germany.

Anne Guertler (A)

Department of Dermatology and Allergology, University Hospital, LMU Munich, Munich, Germany.

C Benedikt Westphalen (CB)

Department of Medicine III and Comprehensive Cancer Center, University Hospital, LMU Munich, Munich, Germany.

Jens Ricke (J)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

William Weir (W)

Department of Radiology, University of Massachusetts Medical School, Worcester.

Marcus Unterrainer (M)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Dirk Mehrens (D)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

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Classifications MeSH