Predictors and Prognostic Factors of Myasthenia Gravis Outcome

NCT ID: NCT05214612

Last Updated: 2024-07-31

Study Results

Results pending

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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Recruitment Status

RECRUITING

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-01

Study Completion Date

2025-03-31

Brief Summary

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This study aims to characterize the clinical features, frequency of different subgroups of MG, and identify predictors of treatment responsiveness among different subgroups of MG. The predictors are including primary outcome (percentage of changes in MG scales at baseline at time of enrollment and after 3 months) and secondary outcome (treatment-related adverse events). Also it aims to determine the frequency of patients with refractory MG.

This information will be used to understand the trends and mechanisms of disease relapse, and optimal management strategies.

Detailed Description

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Myasthenia gravis (MG) is a rare acquired autoimmune disease affecting the neuromuscular junction (NMJ), caused by autoantibodies that target the post-synaptic membrane. It's overall prevalence ranged from 150 to 250 cases per million. The most common autoantibodies are those directed to the nicotinic acetylcholine receptor (AChR), but there is smaller proportion of cases, in whom, other antibodies can be present and they included antibodies directed to muscle specific tyrosine kinase (MuSK) or to lipoprotein receptor-related protein 4 (Lrp-4). The manifestation of MG is in form of fatigable skeletal muscle weakness, affecting ocular, bulbar and limb muscles. In general, the disease diagnosis is confirmed by presence of this characteristic muscle weakness with positive autoantibodies in the serum. The main current treatment of the disease is symptomatic and immunomodulating therapies which are efficient in managing the disease manifestation. The disease prognosis is mostly favorable and about 15%, is considered medically refractory to the conventional therapy. MG can be classified into different subgroups according to different factors which included the autoantibody status, age of onset, and degree of muscle affection. These subgroups are significantly influencing the therapeutic decisions. Moreover, this proposed classification could explain the distinct immunopathological, clinical, therapeutic, and prognostic differences among these subgroups.

Current standard immunotherapies have a broad-spectrum of immune suppression, and potential side effects associated with their use can significantly impact quality of life, especially as they are usually needed life-long. Significant heterogeneity in treatment responsiveness and outcomes exists among the various subgroups of MG based on epidemiology, clinical presentation, autoantibody status, and comorbidities. In MG clinical trials, the evaluation is mainly depending on the short-term clinical efficacy, but the long-term benefits and impact on patient's quality of life and other disease burdens, (i.e., treatment-related side effects, financial impact), were not measured. The outcomes of MG were assessed in many studies and they included the reduction in quality of life, the negative impact on social and physical health, that related to the disease itself and the immunomodulators used for its treatment. Based on these factors, the investigators aimed to conduct this study to find the disease characteristics in the participants, the patient-tailored targeted treatment strategies, treatment outcomes, disease progression and quality of life.

Conditions

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Myasthenia Gravis Autoimmune Diseases of the Nervous System Neuromuscular Junction Diseases Thymoma Thymus Hyperplasia Nervous System Diseases Myasthenia Gravis, Generalized Myasthenia Gravis, Ocular Myasthenia Gravis Crisis Myasthenia Gravis With Exacerbation (Disorder) Myasthenia Gravis, Adult Form Myasthenia Gravis, Juvenile Form

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Drug treatment of myasthenia gravis and treatment of crisis

Patients with myasthenia gravis who are receiving medical treatment and treatment of crisis as plasmapheresis

Intervention Type COMBINATION_PRODUCT

Eligibility Criteria

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Inclusion Criteria

1. Age from 16 years and older.
2. Gender: both sexes are included.
3. Clinical Diagnosis of MG with supporting evidence as:

1. unequivocal clinical response to pyridostigmine
2. decrement \>10% in repetitive nerve stimulations study (RNS).
4. Willingness to sample collection, imaging study and other disease-related examinations and assessments.

Exclusion Criteria

1. Age younger than 16 years.
2. History of chronic psychiatric or neurological disorder other than MG that can produce weakness or fatigue.
3. Severe systemic illness affecting life-expectancy.
Minimum Eligible Age

16 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Nourelhoda Ahmed Ahmed Haridy

Principal investigator, Lecturer of Neurology

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Assiut University

Asyut, , Egypt

Site Status RECRUITING

Countries

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Egypt

Central Contacts

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Nourelhoda AA Haridy, Lecturer

Role: CONTACT

01063981139 ext. 0020

Eman MH Khedr, Professor

Role: CONTACT

010058506632 ext. 0020

Facility Contacts

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Nourelhoda AA Haridy, Lecturer

Role: primary

01063981139 ext. 0020

Eman MH Khedr, Professor

Role: backup

010058506632 ext. 0020

References

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Gilhus NE. Myasthenia Gravis. N Engl J Med. 2016 Dec 29;375(26):2570-2581. doi: 10.1056/NEJMra1602678. No abstract available.

Reference Type BACKGROUND
PMID: 28029925 (View on PubMed)

Sanders DB, Wolfe GI, Benatar M, Evoli A, Gilhus NE, Illa I, Kuntz N, Massey JM, Melms A, Murai H, Nicolle M, Palace J, Richman DP, Verschuuren J, Narayanaswami P. International consensus guidance for management of myasthenia gravis: Executive summary. Neurology. 2016 Jul 26;87(4):419-25. doi: 10.1212/WNL.0000000000002790. Epub 2016 Jun 29.

Reference Type BACKGROUND
PMID: 27358333 (View on PubMed)

Evoli A. Myasthenia gravis: new developments in research and treatment. Curr Opin Neurol. 2017 Oct;30(5):464-470. doi: 10.1097/WCO.0000000000000473.

Reference Type BACKGROUND
PMID: 28654435 (View on PubMed)

Gilhus NE, Tzartos S, Evoli A, Palace J, Burns TM, Verschuuren JJGM. Myasthenia gravis. Nat Rev Dis Primers. 2019 May 2;5(1):30. doi: 10.1038/s41572-019-0079-y.

Reference Type BACKGROUND
PMID: 31048702 (View on PubMed)

Lascano AM, Lalive PH. Update in immunosuppressive therapy of myasthenia gravis. Autoimmun Rev. 2021 Jan;20(1):102712. doi: 10.1016/j.autrev.2020.102712. Epub 2020 Nov 13.

Reference Type BACKGROUND
PMID: 33197578 (View on PubMed)

Suh J, Goldstein JM, Nowak RJ. Clinical characteristics of refractory myasthenia gravis patients. Yale J Biol Med. 2013 Jun 13;86(2):255-60. Print 2013 Jun.

Reference Type BACKGROUND
PMID: 23766745 (View on PubMed)

Silvestri NJ, Wolfe GI. Treatment-refractory myasthenia gravis. J Clin Neuromuscul Dis. 2014 Jun;15(4):167-78. doi: 10.1097/CND.0000000000000034.

Reference Type BACKGROUND
PMID: 24872217 (View on PubMed)

Anil R, Kumar A, Alaparthi S, Sharma A, Nye JL, Roy B, O'Connor KC, Nowak RJ. Exploring outcomes and characteristics of myasthenia gravis: Rationale, aims and design of registry - The EXPLORE-MG registry. J Neurol Sci. 2020 Jul 15;414:116830. doi: 10.1016/j.jns.2020.116830. Epub 2020 Apr 16.

Reference Type BACKGROUND
PMID: 32388060 (View on PubMed)

Jaretzki A 3rd, Barohn RJ, Ernstoff RM, Kaminski HJ, Keesey JC, Penn AS, Sanders DB. Myasthenia gravis: recommendations for clinical research standards. Task Force of the Medical Scientific Advisory Board of the Myasthenia Gravis Foundation of America. Ann Thorac Surg. 2000 Jul;70(1):327-34. doi: 10.1016/s0003-4975(00)01595-2. No abstract available.

Reference Type BACKGROUND
PMID: 10921745 (View on PubMed)

Other Identifiers

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Myasthenia gravis Outcome

Identifier Type: -

Identifier Source: org_study_id

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