Literature DB >> 18563952

Cost-effectiveness analyses of natalizumab (Tysabri) compared with other disease-modifying therapies for people with highly active relapsing-remitting multiple sclerosis in the UK.

Ray Gani1, Gavin Giovannoni, David Bates, Belinda Kemball, Steve Hughes, John Kerrigan.   

Abstract

BACKGROUND: Natalizumab (Tysabri) is a new disease-modifying therapy that has been shown to be clinically effective in patients with relapsing-remitting multiple sclerosis (RRMS) and has been licensed for use in patients with highly active RRMS (HARRMS). These patients are those who experience higher relapse rates and faster disability progression than the general RRMS population.
OBJECTIVES: To estimate the cost effectiveness of natalizumab compared with interferon-beta, glatiramer acetate and best supportive care from various UK cost perspectives.
METHODS: A 30-year Markov model was developed, based on previously published models for multiple sclerosis, to estimate transition between disability states and the probability of relapse within disability states. The model was parameterized with data from the UK Multiple Sclerosis (MS) Survey 2005 and data from the AFFIRM study, a 2-year multicentre, randomized, double-blind, placebo-controlled trial of natalizumab in RRMS patients. Additional data were sourced from the literature. A UK societal cost perspective was used in the base case, with additional cost perspectives considered in the sensitivity analysis. The baseline characteristics for the patient group were taken from the patient population in the AFFIRM study (mean age 36 years, mean time since diagnosis 5 years and a mean Kurtzke Extended Disability Status Scale [EDSS] score of 2.5). The model and its parameterization were designed and developed to support a reimbursement application for natalizumab submitted to the UK National Institute for Health and Clinical Excellence (NICE). Efficacies for natalizumab and glatiramer acetate were taken from clinical trial data, and for interferon-beta from a meta-analysis of clinical trial data. Disutilities from adverse events for each comparator were also included in the model. Outcomes and costs were discounted at 3.5% per anum. Costs for interferon-beta and glatiramer acetate were based on published prices (year 2006 values) under the UK Risk Sharing Scheme, and for natalizumab the UK NHS list price was used. Diagnostic, administration and adverse event costs were also included. The incremental cost-effectiveness ratios (ICERs) were calculated for the base case, and a probabilistic sensitivity analysis was performed to assess the probability of cost effectiveness at different willingness-to-pay thresholds.
RESULTS: The ICER for natalizumab compared with interferon-beta was 2300 pound per QALY. Compared with glatiramer acetate, it was 2000 pound per QALY, and compared with best supportive care it was 8200 pound per QALY. From a health and social care cost perspective, the ICERs were 18,700 pound, 20,400 pound and 25,500 per QALY, respectively. At a willingness-to-pay threshold of 30,000 pound per QALY, the probability of natalizumab being cost effective against any comparator from a societal perspective was >89%.
CONCLUSION: If UK society is willing to pay more than 8200 pound per QALY, or Health and Social Services are willing to pay more than 26,000 pound per QALY, this analysis suggests that natalizumab is likely to be a cost-effective treatment for all patients with HARRMS.

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Year:  2008        PMID: 18563952     DOI: 10.2165/00019053-200826070-00008

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  38 in total

1.  Natural history of multiple sclerosis.

Authors:  G C Ebers
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-12       Impact factor: 10.154

2.  Progressive multifocal leukoencephalopathy after natalizumab therapy for Crohn's disease.

Authors:  Gert Van Assche; Marc Van Ranst; Raf Sciot; Bénédicte Dubois; Séverine Vermeire; Maja Noman; Jannick Verbeeck; Karel Geboes; Wim Robberecht; Paul Rutgeerts
Journal:  N Engl J Med       Date:  2005-06-09       Impact factor: 91.245

3.  The natural history of multiple sclerosis: a geographically based study. 2. Predictive value of the early clinical course.

Authors:  B G Weinshenker; B Bass; G P Rice; J Noseworthy; W Carriere; J Baskerville; G C Ebers
Journal:  Brain       Date:  1989-12       Impact factor: 13.501

4.  Interferon beta in relapsing-remitting multiple sclerosis. An eight years experience in a specialist multiple sclerosis centre.

Authors:  Jordi Río; Mar Tintoré; Carlos Nos; Nieves Téllez; Ingrid Galán; Xavier Montalban
Journal:  J Neurol       Date:  2005-03-18       Impact factor: 4.849

5.  The long-term safety and tolerability of high-dose interferon beta-1a in relapsing-remitting multiple sclerosis: 4-year data from the PRISMS study.

Authors:  R Gold; P Rieckmann; P Chang; J Abdalla
Journal:  Eur J Neurol       Date:  2005-08       Impact factor: 6.089

6.  The effect of disease, functional status, and relapses on the utility of people with multiple sclerosis in the UK.

Authors:  Michelle Orme; John Kerrigan; David Tyas; Nicola Russell; Richard Nixon
Journal:  Value Health       Date:  2007 Jan-Feb       Impact factor: 5.725

7.  Patient and community preferences for treatments and health states in multiple sclerosis.

Authors:  Lisa A Prosser; Karen M Kuntz; Amit Bar-Or; Milton C Weinstein
Journal:  Mult Scler       Date:  2003-06       Impact factor: 6.312

8.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

9.  Relapse rates and enhancing lesions in a phase II trial of natalizumab in multiple sclerosis.

Authors:  Paul O'Connor; David Miller; Katherine Riester; Minhua Yang; Michael Panzara; Catherine Dalton; Katherine Miszkiel; Omar Khan; George Rice; William Sheremata
Journal:  Mult Scler       Date:  2005-10       Impact factor: 6.312

Review 10.  The needs and experiences of caregivers of individuals with multiple sclerosis: a systematic review.

Authors:  L P McKeown; A P Porter-Armstrong; G D Baxter
Journal:  Clin Rehabil       Date:  2003-05       Impact factor: 3.477

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  30 in total

Review 1.  Interferon-β-1b: a review of its use in multiple sclerosis.

Authors:  Greg L Plosker
Journal:  CNS Drugs       Date:  2011-01       Impact factor: 5.749

2.  Natalizumab in the treatment of multiple sclerosis.

Authors:  Ozgür Yaldizli; Norman Putzki
Journal:  Ther Adv Neurol Disord       Date:  2009-03       Impact factor: 6.570

3.  A comprehensive cost-effectiveness analysis of treatments for multiple sclerosis.

Authors:  Ashley N Newton; Christina M Stica
Journal:  Int J MS Care       Date:  2011

4.  Replicating Health Economic Models: Firm Foundations or a House of Cards?

Authors:  Inigo Bermejo; Paul Tappenden; Ji-Hee Youn
Journal:  Pharmacoeconomics       Date:  2017-11       Impact factor: 4.981

Review 5.  Cost-effectiveness analyses in multiple sclerosis: a review of modelling approaches.

Authors:  Shien Guo; Christopher Pelligra; Catherine Saint-Laurent Thibault; Luis Hernandez; Anuraag Kansal
Journal:  Pharmacoeconomics       Date:  2014-06       Impact factor: 4.981

Review 6.  Pharmacoeconomic considerations in the treatment of multiple sclerosis.

Authors:  Jessica Sharac; Paul McCrone; Ramon Sabes-Figuera
Journal:  Drugs       Date:  2010-09-10       Impact factor: 9.546

7.  Disease-Modifying Therapies for Multiple Sclerosis: A Systematic Literature Review of Cost-Effectiveness Studies.

Authors:  Sergio Iannazzo; Ange-Christelle Iliza; Louise Perrault
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

Review 8.  Cost-effectiveness of disease-modifying therapies in multiple sclerosis.

Authors:  Ali Manouchehrinia; Cris S Constantinescu
Journal:  Curr Neurol Neurosci Rep       Date:  2012-10       Impact factor: 5.081

9.  Disease-Modifying Therapies for Relapsing-Remitting and Primary Progressive Multiple Sclerosis: A Cost-Utility Analysis.

Authors:  Marita Zimmermann; Elizabeth Brouwer; Jeffrey A Tice; Matt Seidner; Anne M Loos; Shanshan Liu; Richard H Chapman; Varun Kumar; Josh J Carlson
Journal:  CNS Drugs       Date:  2018-12       Impact factor: 5.749

Review 10.  Modelling the cost effectiveness of disease-modifying treatments for multiple sclerosis: issues to consider.

Authors:  Joel P Thompson; Amir Abdolahi; Katia Noyes
Journal:  Pharmacoeconomics       Date:  2013-06       Impact factor: 4.981

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