Cost-Effectiveness of Baricitinib Compared With Standard of Care: A Modeling Study in Hospitalized Patients With COVID-19 in the United States.


Journal

Clinical therapeutics
ISSN: 1879-114X
Titre abrégé: Clin Ther
Pays: United States
ID NLM: 7706726

Informations de publication

Date de publication:
11 2021
Historique:
received: 20 08 2021
revised: 17 09 2021
accepted: 20 09 2021
pubmed: 5 11 2021
medline: 31 12 2021
entrez: 4 11 2021
Statut: ppublish

Résumé

In the Phase III COV-BARRIER (Efficacy and Safety of Baricitinib for the Treatment of Hospitalised Adults With COVID-19) trial, treatment with baricitinib, an oral selective Janus kinase 1/2 inhibitor, in addition to standard of care (SOC), was associated with significantly reduced mortality over 28 days in hospitalized patients with coronavirus disease-2019 (COVID-19), with a safety profile similar to that of SOC alone. This study assessed the cost-effectiveness of baricitinib + SOC versus SOC alone (which included systemic corticosteroids and remdesivir) in hospitalized patients with COVID-19 in the United States. An economic model was developed to simulate inpatients' stay, discharge to postacute care, and recovery. Costs modeled included payor costs, hospital costs, and indirect costs. Benefits modeled included life-years (LYs) gained, quality-adjusted life-years (QALYs) gained, deaths avoided, and use of mechanical ventilation avoided. The primary analysis was performed from a payor perspective over a lifetime horizon; a secondary analysis was performed from a hospital perspective. The base-case analysis modeled the numeric differences in treatment effectiveness observed in the COV-BARRIER trial. Scenario analyses were also performed in which the clinical benefit of baricitinib was limited to the statistically significant reduction in mortality demonstrated in the trial. In the base-case payor perspective model, an incremental total cost of 17,276 US dollars (USD), total QALYs gained of 0.6703, and total LYs gained of 0.837 were found with baricitinib + SOC compared with SOC alone. With the addition of baricitinib, survival was increased by 5.1% and the use of mechanical ventilation was reduced by 1.6%. The base-case incremental cost-effectiveness ratios were 25,774 USD/QALY gained and 20,638 USD/LY gained; a "mortality-only" scenario analysis yielded similar results of 26,862 USD/QALY gained and 21,433 USD/LY gained. From the hospital perspective, combination treatment with baricitinib + SOC was more effective and less costly than was SOC alone in the base case, with an incremental cost of 38,964 USD per death avoided in the mortality-only scenario. In hospitalized patients with COVID-19 in the United States, the addition of baricitinib to SOC was cost-effective. Cost-effectiveness was demonstrated from both the payor and the hospital perspectives. These findings were robust to sensitivity analysis and to conservative assumptions limiting the clinical benefits of baricitinib to the statistically significant reduction in mortality demonstrated in the COV-BARRIER trial.

Identifiants

pubmed: 34732289
pii: S0149-2918(21)00389-1
doi: 10.1016/j.clinthera.2021.09.016
pmc: PMC8487786
pii:
doi:

Substances chimiques

Azetidines 0
Purines 0
Pyrazoles 0
Sulfonamides 0
baricitinib ISP4442I3Y

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1877-1893.e4

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure K.K. and T.K. are employees of Medical Decision Modeling Inc and received funding from Eli Lilly and Company to conduct the study. P.L.M., T.S., R.B., and M.B. are employees of Eli Lilly and Company. The authors have indicated that they have no other conflicts of interest with regard to the content of this article.

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Auteurs

Robert Ohsfeldt (R)

Texas A&M University, College Station, Texas; Medical Decision Modeling Inc, Indianapolis, Indiana.

Kari Kelton (K)

Medical Decision Modeling Inc, Indianapolis, Indiana.

Tim Klein (T)

Medical Decision Modeling Inc, Indianapolis, Indiana.

Mark Belger (M)

Eli Lilly and Company, Indianapolis, Indiana.

Patrick L Mc Collam (PL)

Eli Lilly and Company, Indianapolis, Indiana.

Theodore Spiro (T)

Eli Lilly and Company, Indianapolis, Indiana.

Russel Burge (R)

Eli Lilly and Company, Indianapolis, Indiana; University of Cincinnati, Cincinnati, Ohio. Electronic address: rburge@lilly.com.

Neera Ahuja (N)

Stanford University, Palo Alto, California.

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Classifications MeSH