Improving the Effect of Multiple Sclerosis Drugs by Chronobiology
NCT ID: NCT06385197
Last Updated: 2024-05-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
8 participants
INTERVENTIONAL
2022-05-08
2023-06-02
Brief Summary
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Detailed Description
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This open-label study will test the implementation of controlled randomization of time of administration of Dimethyl fumarate to patients with MS. Random changes in the time of administration and dosages of Dimethyl fumarate within pre-defined approved limits which are within the approved therapeutic window will be provided to patient by a designated cellular application. Patients will be followed for 12 weeks for clinical improvement using the Expanded Disability Status Scale (EDSS) and MRI.
Conditions
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Study Design
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NA
SINGLE_GROUP
DEVICE_FEASIBILITY
NONE
Study Groups
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patients using the app for dosing regimen
All of the enrolled patients will receive their dimethyl fumarate prescribed by their GP. During the 12 weeks' study period, patients in the intervention arm will receive the medication timed by the app- dose and time of administration will be determined using a designated app. The app will implement random changes in time of administration limited by a pre-defined range assigned by the therapeutic windows
App randomizing dosing regimen
patients will receive their dimethyl fumarate treatment and the dose and time of administration will be determined using a designated app.
Interventions
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App randomizing dosing regimen
patients will receive their dimethyl fumarate treatment and the dose and time of administration will be determined using a designated app.
Eligibility Criteria
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Inclusion Criteria
2. A diagnosis of MS and treatment with dimethyl fumarateDimethyl fumarate or Diroximel fumarate for at least 6 months
3. Females of childbearing potential must be non-pregnant (as determined by a serum pregnancy test at enrollment) and agree to use adequate contraceptive means throughout the study.
4. Patients must be able to adhere to the visit schedule and protocol requirements and be available to complete the study.
5. Patients must satisfy a medical examiner about their fitness to participate in the study.
6. Patients must provide written informed consent to participate in the study.
Exclusion Criteria
2\. Known human deficiency virus (HIV) or Hepatitis virus infections. 3. The use of steroids, or other immunosuppression. 4. Participation in another clinical trial within 30 days prior to intervention.
5\. Patients with an inability to communicate well with the PI and staff (i.e., language problem, poor mental development or impaired cerebral function).
6\. Patients who will be unavailable for the duration of the trial, are likely to be noncompliant with the protocol, or who are felt to be unsuitable by the PI for any other reason.
7\. Any underlying medical condition that in the opinion of the study investigator impair the ability of the patient to complete the follow-up or to receive the planned treatment regimen
18 Years
60 Years
ALL
No
Sponsors
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Hadassah Medical Organization
OTHER
Responsible Party
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Principal Investigators
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yoav hershkovtiz, md
Role: STUDY_DIRECTOR
Hadassah Medical Organization
Locations
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Hadassah Medical Center
Jerusalem, , Israel
Countries
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References
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Gold R, Arnold DL, Bar-Or A, Fox RJ, Kappos L, Chen C, Parks B, Miller C. Safety and efficacy of delayed-release dimethyl fumarate in patients with relapsing-remitting multiple sclerosis: 9 years' follow-up of DEFINE, CONFIRM, and ENDORSE. Ther Adv Neurol Disord. 2020 May 12;13:1756286420915005. doi: 10.1177/1756286420915005. eCollection 2020.
Chinea A, Amezcua L, Vargas W, Okai A, Williams MJ, Su R, Parks B, Mendoza JP, Lewin JB, Jones CC. Real-World Safety and Effectiveness of Dimethyl Fumarate in Hispanic or Latino Patients with Multiple Sclerosis: 3-Year Results from ESTEEM. Neurol Ther. 2020 Dec;9(2):495-504. doi: 10.1007/s40120-020-00192-6. Epub 2020 May 29.
Barros A, Sequeira J, de Sousa A, Parra J, Brum M, Pedrosa R, Capela C. Real-Word Effectiveness and Safety of Dimethyl Fumarate in a Multiple Sclerosis Portuguese Population. Clin Neuropharmacol. 2020 May/Jun;43(3):55-60. doi: 10.1097/WNF.0000000000000391.
Lanzillo R, Moccia M, Palladino R, Signoriello E, Carotenuto A, Maniscalco GT, Sacca F, Bonavita S, Russo CV, Iodice R, Petruzzo M, Sinisi L, De Angelis M, Lavorgna L, De Rosa A, Romano F, Orlando V, Ronga B, Florio C, Lus G, Brescia Morra V. Clinical predictors of Dimethyl Fumarate response in multiple sclerosis: a real life multicentre study. Mult Scler Relat Disord. 2020 Feb;38:101871. doi: 10.1016/j.msard.2019.101871. Epub 2019 Nov 25.
Miclea A, Leussink VI, Hartung HP, Gold R, Hoepner R. Safety and efficacy of dimethyl fumarate in multiple sclerosis: a multi-center observational study. J Neurol. 2016 Aug;263(8):1626-32. doi: 10.1007/s00415-016-8175-3. Epub 2016 Jun 3.
Goldberger AL. Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside. Lancet. 1996 May 11;347(9011):1312-4. doi: 10.1016/s0140-6736(96)90948-4. No abstract available.
Singh N, Moneghetti KJ, Christle JW, Hadley D, Plews D, Froelicher V. Heart Rate Variability: An Old Metric with New Meaning in the Era of using mHealth Technologies for Health and Exercise Training Guidance. Part One: Physiology and Methods. Arrhythm Electrophysiol Rev. 2018 Aug;7(3):193-198. doi: 10.15420/aer.2018.27.2.
Shields RW Jr. Heart rate variability with deep breathing as a clinical test of cardiovagal function. Cleve Clin J Med. 2009 Apr;76 Suppl 2:S37-40. doi: 10.3949/ccjm.76.s2.08.
Konig N, Singh NB, Baumann CR, Taylor WR. Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson's Disease. Front Hum Neurosci. 2016 Jun 30;10:319. doi: 10.3389/fnhum.2016.00319. eCollection 2016.
Nayyar S, Hasan MA, Roberts-Thomson KC, Sullivan T, Baumert M. Effect of Loss of Heart Rate Variability on T-Wave Heterogeneity and QT Variability in Heart Failure Patients: Implications in Ventricular Arrhythmogenesis. Cardiovasc Eng Technol. 2017 Jun;8(2):219-228. doi: 10.1007/s13239-017-0299-9. Epub 2017 Mar 3.
Moon Y, Sung J, An R, Hernandez ME, Sosnoff JJ. Gait variability in people with neurological disorders: A systematic review and meta-analysis. Hum Mov Sci. 2016 Jun;47:197-208. doi: 10.1016/j.humov.2016.03.010. Epub 2016 Mar 26.
Moon Y, Sung J, An R, Hernandez ME, Sosnoff JJ. Gait variability in people with neurological disorders: A systematic review and meta-analysis. Hum Mov Sci. 2016;47:197-208. 14. Leino AD, King EC, Jiang W, et al. Assessment of tacrolimus intrapatient variability in stable adherent transplant recipients: Establishing baseline values. Am J Transplant. 2018. 15. Gueta I, Markovits N, Yarden-Bilavsky H, et al. High tacrolimus trough level variability is associated with rejections after heart transplant. Am J Transplant. 2018;18(10):2571-2578. 16. Gueta I, Markovits N, Yarden-Bilavsky H, et al. Intrapatient variability in tacrolimus trough levels after solid organ transplantation varies at different postoperative time periods. Am J Transplant. 2018. 17. Del Bello A, Congy-Jolivet N, Danjoux M, et al. High tacrolimus intra-patient variability is associated with graft rejection, and de novo donor-specific antibodies occurrence after liver transplantation. World J Gastroenterol. 2018;24(16):1795-1802. 18. Contin M, Alberghini L, Candela C, Benini G, Riva R. Intrapatient variation in antiepileptic drug plasma concentration after generic substitution vs stable brand-name drug regimens. Epilepsy Res. 2016;122:79-83. 19. Elgart V, Lin JR, Loscalzo J. Determinants of drug-target interactions at the single cell level. PLoS Comput Biol. 2018;14(12):e1006601. 20. Niederer SA, Lumens J, Trayanova NA. Computational models in cardiology. Nat Rev Cardiol. 2019;16(2):100-111. 21. Ilan Y. Overcoming Compensatory Mechanisms toward Chronic Drug Administration to Ensure Long-Term, Sustainable Beneficial Effects. Mol Ther Methods Clin Dev. 2020;18:335-344. 22. Kyriazis M. Practical applications of chaos theory to the modulation of human ageing: nature prefers chaos to regularity. Biogerontology. 2003;4(2):75-90. 23. Kessler A, Weksler-Zangen S, Ilan Y. Role of the Immune System and the Circadian Rhythm in the Pathogenesis of Chronic Pancreatitis: Establishing a Personalized Signature for Improving the Effect of Immunotherapies for Chronic Pancreatitis. Pancreas. 2020;49(8):1024-1032. 24. Potruch A, Khoury ST, Ilan Y. The role of chronobiology in drug-resistance epilepsy: The potential use of a variability and chronotherapy-based individualized platform for improving the response to anti-seizure drugs. Seizure. 2020;80:201-211. 25. Khoury T, Ilan Y. Introducing Patterns of Variability for Overcoming Compensatory Adaptation of the Immune System to Immunomodulatory Agents: A Novel Method for Improving Clinical Response to Anti-TNF Therapies. Front Immunol. 2019;10:2726. 26. Khoury T, Ilan Y. Introducing Patterns of Variability for Overcoming Compensatory Adaptation of the Immune System to Immunomodulatory Agents: A Novel Method for Improving Clinical Response to Anti-TNF Therapies. Frontiers in immunology. 2019;10:2726-2726. 27. Gelman R, Bayatra A, Kessler A, Schwartz A, Ilan Y. Targeting SARS-CoV-2 receptors as a means for reducing infectivity and improving antiviral and immune response: an algorithm-based method for overcoming resistance to antiviral agents. Emerg Microbes Infect. 2020;9(1):1397-1406.
Other Identifiers
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170886-HMO-CTIL
Identifier Type: -
Identifier Source: org_study_id
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