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1000 Titel
  • Cost–consequence analysis of early vs. delayed natalizumab use in highly active relapsing–remitting multiple sclerosis: a simulation study
1000 Autor/in
  1. Inojosa, Hernan |
  2. Schriefer, Dirk |
  3. Ness, Nils-Henning |
  4. Dillenseger, Anja |
  5. Akgün, Katja |
  6. Ziemssen, Tjalf |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2025
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2025-01-17
1000 Erschienen in
1000 Quellenangabe
  • 272(2):153
1000 Copyrightjahr
  • 2025
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00415-024-12723-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11742466/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Natalizumab (NAT) is an established disease-modifying therapy (DMT) for highly active multiple sclerosis (MS). However, its use involves complex decision-making, often leading to initial use of lower efficacy therapies. Recently, the first biosimilar NAT was approved, enabling competitive pricing. This study assessed the societal implications of initiating NAT in various scenarios through a cost–consequence analysis.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>A 10-year Markov model based on the Expanded Disability Status Scale (EDSS) was employed, with 11 health states, annual cycles, and half-cycle correction. The cohort had an initial age of 36 years and 70% females. NAT was compared to common initial therapies (glatiramer acetate, teriflunomide, dimethyl fumarate, and fingolimod). Scenarios included continuous use, early (after 1 year), and delayed (5 years) switch to NAT. Baseline characteristics and probabilities for clinical and economic outcomes were derived from clinical trial data, published literature, and other available sources.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Continuous NAT use resulted in the highest time spent on low EDSS levels, fewer relapses, reduced years of life lost due to disability, and a higher employment rate over a 10-year period. Switching to NAT after 1 year yielded outcomes similar to continuous NAT use. Despite higher DMT costs, disease management costs, including indirect costs and non-DMT direct medical costs, were lower in continuous use and early switch to NAT. Late switching resulted in outcomes most comparable to continuous use of the initial DMT.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Continuous and early switch to NAT resulted in better clinical outcomes and lower societal economic burden compared to delayed NAT initiation, indicating potential long-term cost savings.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Cost-Benefit Analysis [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Computer Simulation [MeSH]
lokal Time Factors [MeSH]
lokal Immunologic Factors/economics [MeSH]
lokal Multiple sclerosis
lokal Male [MeSH]
lokal Multiple Sclerosis, Relapsing-Remitting/drug therapy [MeSH]
lokal Markov Chains [MeSH]
lokal Cost–consequence
lokal Health economics
lokal Natalizumab/therapeutic use [MeSH]
lokal Immunologic Factors/therapeutic use [MeSH]
lokal Natalizumab/economics [MeSH]
lokal Treatment strategies
lokal Original Communication
lokal Markov model
lokal Multiple Sclerosis, Relapsing-Remitting/economics [MeSH]
lokal Economic evaluation
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SW5vam9zYSwgSGVybmFu|https://frl.publisso.de/adhoc/uri/U2NocmllZmVyLCBEaXJr|https://frl.publisso.de/adhoc/uri/TmVzcywgTmlscy1IZW5uaW5n|https://frl.publisso.de/adhoc/uri/RGlsbGVuc2VnZXIsIEFuamE=|https://frl.publisso.de/adhoc/uri/QWtnw7xuLCBLYXRqYQ==|https://orcid.org/0000-0001-8799-8202
1000 Hinweis
  • DeepGreen-ID: 66e8b936ffa2437bb78622818ca6e5b0 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search) ;
1000 Label
1000 Förderer
  1. Technische Universität Dresden |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Technische Universität Dresden |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6521505.rdf
1000 Erstellt am 2025-07-06T08:22:21.458+0200
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