EN
Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights
Abstract
Objective: This research offers a comprehensive analysis of Myasthenia Gravis (MG), uncovering the remarkable accuracy of spinal accessory, ulnar, and facial nerve repetitive nerve stimulation (RNS), along with the precision of single fiber electromyography (SF-EMG) in MG diagnosis. We also embark on an exploration of clinical features and autoantibody test results in generalized MG patients.
Methods: In this prospective study, we welcomed 31 individuals definitively diagnosed with generalized MG into our quest. The categorization of patients was conducted in accordance with the criteria set by the Myasthenia Gravis Foundation of America (MGFA). We examined patients' trapezius, nasalis, and abductor digiti minimi (ADM) muscles using RNS. We meticulously recorded the presence of MG autoantibodies, clinical subtypes based on affected muscle groups, and SF-EMG jitter rates.
Results: The mean age of the 31 patients of whom 19 (61.3%) were male, was 64 ± 13.9 years. Among them, 20 showed positivity in the Anti-AChR antibody test. In 28 patients, accounting for 90.3% of the study group, single fiber electromyography (EMG) displayed increased jitter. There were 4 (12.9%), 24 (77.4%) and 12 (38.7%) patients featuring a decremental response of exceeding 10% in ADM, trapezius and nasalis muscles, respectivelyOur investigation revealed notable findings, such as the absence of substantial correlations between decremental response rates and age, gender, duration of complaints, antibody test results, thymus abnormalities, affected muscle types, familial history, or increased jitter rates in SF-EMG (p>0.05).
Conclusion: As our findings clearly show, we can confidently attest to the remarkable sensitivity of RNS in MG diagnosis when muscle selection is precise. A gem discovered on our study is the high sensitivity of the spinal accessory nerve, a revelation that should guide the course of routine RNS studies, particularly for those facing ocular-onset myasthenia.
Keywords
References
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Details
Primary Language
English
Subjects
Medical Education
Journal Section
Research Article
Publication Date
December 29, 2023
Submission Date
October 21, 2023
Acceptance Date
December 8, 2023
Published in Issue
Year 2023 Volume: 50 Number: 4
APA
Öncel, S., & Tunç, A. (2023). Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights. Dicle Medical Journal, 50(4), 482-489. https://doi.org/10.5798/dicletip.1411514
AMA
1.Öncel S, Tunç A. Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights. Dicle Medical Journal. 2023;50(4):482-489. doi:10.5798/dicletip.1411514
Chicago
Öncel, Samet, and Abdulkadir Tunç. 2023. “Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights”. Dicle Medical Journal 50 (4): 482-89. https://doi.org/10.5798/dicletip.1411514.
EndNote
Öncel S, Tunç A (December 1, 2023) Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights. Dicle Medical Journal 50 4 482–489.
IEEE
[1]S. Öncel and A. Tunç, “Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights”, Dicle Medical Journal, vol. 50, no. 4, pp. 482–489, Dec. 2023, doi: 10.5798/dicletip.1411514.
ISNAD
Öncel, Samet - Tunç, Abdulkadir. “Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights”. Dicle Medical Journal 50/4 (December 1, 2023): 482-489. https://doi.org/10.5798/dicletip.1411514.
JAMA
1.Öncel S, Tunç A. Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights. Dicle Medical Journal. 2023;50:482–489.
MLA
Öncel, Samet, and Abdulkadir Tunç. “Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights”. Dicle Medical Journal, vol. 50, no. 4, Dec. 2023, pp. 482-9, doi:10.5798/dicletip.1411514.
Vancouver
1.Samet Öncel, Abdulkadir Tunç. Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights. Dicle Medical Journal. 2023 Dec. 1;50(4):482-9. doi:10.5798/dicletip.1411514