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Delay from treatment start to full effect of immunotherapies for multiple sclerosis
- Source :
- Publons, Brain-A Journal of Neurology, Brain-A Journal of Neurology, Oxford University Press (OUP), 2020, 143 (9), pp.2742-2756. ⟨10.1093/brain/awaa231⟩, Brain, Vol. 143, no. 9, p. 2742-2756 (2020), Web of Science, Brain-A Journal of Neurology, 2020, 143 (9), pp.2742-2756. ⟨10.1093/brain/awaa231⟩
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Abstract
- In multiple sclerosis, treatment start or switch is prompted by evidence of disease activity. Whilst immunomodulatory therapies reduce disease activity, the time required to attain maximal effect is unclear. In this study we aimed to develop a method that allows identification of the time to manifest fully and clinically the effect of multiple sclerosis treatments ('therapeutic lag') on clinical disease activity represented by relapses and progression-of-disability events. Data from two multiple sclerosis registries, MSBase (multinational) and OFSEP (French), were used. Patients diagnosed with multiple sclerosis, minimum 1-year exposure to treatment, minimum 3-year pretreatment follow-up and yearly review were included in the analysis. For analysis of disability progression, all events in the subsequent 5-year period were included. Density curves, representing incidence of relapses and 6-month confirmed progression events, were separately constructed for each sufficiently represented therapy. Monte Carlo simulations were performed to identify the first local minimum of the first derivative after treatment start; this point represented the point of stabilization of treatment effect, after the maximum treatment effect was observed. The method was developed in a discovery cohort (MSBase), and externally validated in a separate, non-overlapping cohort (OFSEP). A merged MSBase-OFSEP cohort was used for all subsequent analyses. Annualized relapse rates were compared in the time before treatment start and after the stabilization of treatment effect following commencement of each therapy. We identified 11 180 eligible treatment epochs for analysis of relapses and 4088 treatment epochs for disability progression. External validation was performed in four therapies, with no significant difference in the bootstrapped mean differences in therapeutic lag duration between registries. The duration of therapeutic lag for relapses was calculated for 10 therapies and ranged between 12 and 30 weeks. The duration of therapeutic lag for disability progression was calculated for seven therapies and ranged between 30 and 70 weeks. Significant differences in the pre- versus post-treatment annualized relapse rate were present for all therapies apart from intramuscular interferon beta-1a. In conclusion we have developed, and externally validated, a method to objectively quantify the duration of therapeutic lag on relapses and disability progression in different therapies in patients more than 3 years from multiple sclerosis onset. Objectively defined periods of expected therapeutic lag allows insights into the evaluation of treatment response in randomized clinical trials and may guide clinical decision-making in patients who experience early on-treatment disease activity. This method will subsequently be applied in studies that evaluate the effect of patient and disease characteristics on therapeutic lag. This study was supported by the EDMUS Foundation, Biogen and NHMRC (1140766, 1129189, 1157717). I.R. is supported by a MSIF-ARSEP McDonald fellowship grant and a Melbourne Research Scholarship. The MSBase Foundation is a not-for-profit organization that receives support from Biogen, Novartis, Merck, Roche, Teva and Sanofi Genzyme. The Observatoire Francais de la Sclerose en Plaques (OFSEP) is supported by a grant provided by the French State and handled by the 'Agence Nationale de la Recherche,' within the framework of the 'Investments for the Future' program, under the reference ANR-10-COHO-002, by the Eugene Devic EDMUS Foundation against multiple sclerosis and by the ARSEP Foundation. The study was conducted separately and apart from the guidance of the sponsors. Kalincik, T (corresponding author), Univ Melbourne, Dept Med, CORe, 300 Grattan St, Melbourne, Vic 3050, Australia. tomas.kalincik@unimelb.edu.au
- Subjects :
- Adult
Male
medicine.medical_specialty
Multiple Sclerosis
Time Factors
multiple sclerosis
law.invention
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Natalizumab
Randomized controlled trial
law
Internal medicine
medicine
Humans
Immunologic Factors
Multiple sclerosi
030212 general & internal medicine
Prospective Studies
Registries
Prospective cohort study
therapeutic lag
business.industry
Multiple sclerosis
Interferon beta-1a
Middle Aged
medicine.disease
Fingolimod
3. Good health
Treatment Outcome
Cohort
Disease Progression
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Female
Neurology (clinical)
business
Immunotherapies
030217 neurology & neurosurgery
Immunosuppressive Agents
Therapeutic lag, prognosis, treatment
medicine.drug
Cohort study
Follow-Up Studies
Subjects
Details
- ISSN :
- 00068950 and 14602156
- Database :
- OpenAIRE
- Journal :
- Publons, Brain-A Journal of Neurology, Brain-A Journal of Neurology, Oxford University Press (OUP), 2020, 143 (9), pp.2742-2756. ⟨10.1093/brain/awaa231⟩, Brain, Vol. 143, no. 9, p. 2742-2756 (2020), Web of Science, Brain-A Journal of Neurology, 2020, 143 (9), pp.2742-2756. ⟨10.1093/brain/awaa231⟩
- Accession number :
- edsair.doi.dedup.....e973155a985f28cc522a68a5ad33ba30