EN
Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights
Öz
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.
Anahtar Kelimeler
Kaynakça
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- 3.AAEM Quality Assurance Committee. AmericanAssociation of Electrodiagnostic Medicine. Literaturereview of the usefulness of repetitive nerve stimulation and single fiber EMG in the electrodiagnosticevaluation of patients with suspected myastheniagravis or Lambert-Eaton myasthenic syndrome.Muscle Nerve 2001;24(9):1239-47.doi:10.1002/mus.1140
- 4.Amandusson Å, Elf K, Grindlund ME, Punga AR.Diagnostic Utility of Repetitive Nerve Stimulation in aLarge Cohort of Patients With Myasthenia Gravis. J Clin Neurophysiol 2017;34(5):400-7.doi:10.1097/WNP.0000000000000398
- 5.Abraham A, Alabdali M, Alsulaiman A, et al.Repetitive nerve stimulation cutoff values for thediagnosis of myasthenia gravis. Muscle Nerven2017;55(2):166-70. doi:10.1002/mus.25214
- 6.Stålberg E, van Dijk H, Falck B, et al. Standards forquantification of EMG and neurography. ClinNeurophysiol 2019;130(9):1688-729.doi:10.1016/j.clinph.2019.05.008
- 7.Sanders DB, Arimura K, Cui L, et al. Guidelines forsingle fiber EMG. Clin Neurophysiol2019;130(8):1417-39.doi:10.1016/j.clinph.2019.04.005
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Tıp Eğitimi
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
29 Aralık 2023
Gönderilme Tarihi
21 Ekim 2023
Kabul Tarihi
8 Aralık 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 50 Sayı: 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. diclemedj. 2023;50(4):482-489. doi:10.5798/dicletip.1411514
Chicago
Öncel, Samet, ve 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 (01 Aralık 2023) Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights. Dicle Medical Journal 50 4 482–489.
IEEE
[1]S. Öncel ve A. Tunç, “Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights”, diclemedj, c. 50, sy 4, ss. 482–489, Ara. 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 (01 Aralık 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. diclemedj. 2023;50:482–489.
MLA
Öncel, Samet, ve Abdulkadir Tunç. “Unveiling Myasthenia Gravis: A Comprehensive Analysis of Diagnostic Tools and Clinical Insights”. Dicle Medical Journal, c. 50, sy 4, Aralık 2023, ss. 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. diclemedj. 01 Aralık 2023;50(4):482-9. doi:10.5798/dicletip.1411514