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Gengadharan PN, Ong WT, Tan JY, Shahrizaila N, Goh KJ, Tan CY. Ocular Myasthenia gravis: determining the predictive factors of secondary generalisation. Acta Neurol Belg 2025; 125:351-358. [PMID: 39621280 DOI: 10.1007/s13760-024-02693-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 11/22/2024] [Indexed: 04/23/2025]
Abstract
INTRODUCTION Myasthenia gravis (MG) can be classified according to clinical features into ocular MG (OMG) and generalised MG (GMG). However, OMG carries the risk of conversion to GMG. In this study, we aimed to determine the predictive factors for the secondary generalisation of OMG patients. METHODS OMG patients followed-up in our hospital from January 1999 to November 2023 were retrospectively reviewed. Demographic and clinical characteristics data were collected from medical records. OMG patients with follow-up of < 2 years were excluded. RESULTS Of the 122 patients included, 87 (71.3%) remained as OMG and 35 (28.7%) had converted to GMG. The median time taken for generalisation was 12 months (IQR 6-30). 73.5% of patients had converted to GMG within 2 years. In univariate analysis, a significantly higher proportion of patients with positive anti-AChR antibodies (94.1% vs. 67.1%, p = 0.002), higher antibody titre (8.0 vs. 1.6 nmol/L, p < 0.001), positive repetitive nerve stimulation (RNS) (54.5% vs. 15.9%, p < 0.001), positive single-fibre electromyography (96.7% vs. 76.0%, p = 0.013) and the presence of thymic abnormalities (35.3% vs. 3.5%, p < 0.001), specifically thymoma (29.4% vs. 1.2%, p < 0.001) were associated with secondary generalisation. Conversely, higher percentage of patients who were treated with corticosteroid remained as OMG (37.9% vs. 17.1%, p = 0.026). However, in multivariate analysis, only positive anti-AChR antibodies (ORadj 9.6, 95% CI 1.7-56.1), positive RNS (ORadj 4.0, 95% CI 1.3-12.5) and the presence of thymoma (ORadj 29.5, 95% CI 2.5-351.1) were independently associated with secondary generalisation. CONCLUSION The presence of anti-AChR antibodies and thymoma with positive RNS were the predictive factors of secondary generalisation in OMG.
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Affiliation(s)
- Prasana Nair Gengadharan
- Neurology unit, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Wei Ting Ong
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Lembah Pantai, Kuala Lumpur, 50603, Malaysia
| | - Jie Ying Tan
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Lembah Pantai, Kuala Lumpur, 50603, Malaysia
| | - Nortina Shahrizaila
- Neurology unit, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Khean Jin Goh
- Neurology unit, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Cheng Yin Tan
- Neurology unit, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Lembah Pantai, Kuala Lumpur, 50603, Malaysia.
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Koneczny I, Mané-Damas M, Zong S, De Haas S, Huda S, van Kruining D, Damoiseaux J, De Rosa A, Maestri M, Guida M, Molenaar P, Van Damme P, Fichtenbaum A, Perkmann T, De Baets M, Lazaridis K, Zouvelou V, Tzartos S, Ricciardi R, Losen M, Martinez-Martinez P. A retrospective multicenter study on clinical and serological parameters in patients with MuSK myasthenia gravis with and without general immunosuppression. Front Immunol 2024; 15:1325171. [PMID: 38715598 PMCID: PMC11074957 DOI: 10.3389/fimmu.2024.1325171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/25/2024] [Indexed: 06/19/2024] Open
Abstract
Introduction Muscle-specific kinase (MuSK)- myasthenia gravis (MG) is caused by pathogenic autoantibodies against MuSK that correlate with disease severity and are predominantly of the IgG4 subclass. The first-line treatment for MuSK-MG is general immunosuppression with corticosteroids, but the effect of treatment on IgG4 and MuSK IgG4 levels has not been studied. Methods We analyzed the clinical data and sera from 52 MuSK-MG patients (45 female, 7 male, median age 49 (range 17-79) years) from Italy, the Netherlands, Greece and Belgium, and 43 AChR-MG patients (22 female, 21 male, median age 63 (range 2-82) years) from Italy, receiving different types of immunosuppression, and sera from 46 age- and sex-matched non-disease controls (with no diagnosed diseases, 38 female, 8 male, median age 51.5 (range 20-68) years) from the Netherlands. We analyzed the disease severity (assessed by MGFA or QMG score), and measured concentrations of MuSK IgG4, MuSK IgG, total IgG4 and total IgG in the sera by ELISA, RIA and nephelometry. Results We observed that MuSK-MG patients showed a robust clinical improvement and reduction of MuSK IgG after therapy, and that MuSK IgG4 concentrations, but not total IgG4 concentrations, correlated with clinical severity. MuSK IgG and MuSK IgG4 concentrations were reduced after immunosuppression in 4/5 individuals with before-after data, but data from non-linked patient samples showed no difference. Total serum IgG4 levels were within the normal range, with IgG4 levels above threshold (1.35g/L) in 1/52 MuSK-MG, 2/43 AChR-MG patients and 1/45 non-disease controls. MuSK-MG patients improved within the first four years after disease onset, but no further clinical improvement or reduction of MuSK IgG4 were observed four years later, and only 14/52 (26.92%) patients in total, of which 13 (93.3%) received general immunosuppression, reached clinical remission. Discussion We conclude that MuSK-MG patients improve clinically with general immunosuppression but may require further treatment to reach remission. Longitudinal testing of individual patients may be clinically more useful than single measurements of MuSK IgG4. No significant differences in the serum IgG4 concentrations and IgG4/IgG ratio between AChR- and MuSK-MG patients were found during follow-up. Further studies with larger patient and control cohorts are necessary to validate the findings.
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Affiliation(s)
- Inga Koneczny
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Marina Mané-Damas
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Shenghua Zong
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sander De Haas
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Saif Huda
- Neurosciences Group, Nuffield Department of Clinical Neurosciences, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Department of Neurology, Walton Centre National Health Service (NHS) Foundation Trust, Liverpool, United Kingdom
| | - Daan van Kruining
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Jan Damoiseaux
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, Netherlands
| | - Anna De Rosa
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Michelangelo Maestri
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Melania Guida
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Peter Molenaar
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Philip Van Damme
- Neurology Department, University Hospital, Leuven, Belgium
- Department of Neurosciences, Center for Brain & Disease Research, VIB, Leuven, Belgium
| | - Andreas Fichtenbaum
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Thomas Perkmann
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Marc De Baets
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | | | - Vasiliki Zouvelou
- 1stNeurology Department, National and Kapodistrian University of Athens, Athens, Greece
| | - Socrates Tzartos
- Department of Immunology, Hellenic Pasteur Institute, Athens, Greece
- Department of Neuroimmunology, Tzartos NeuroDiagnostics, Athens, Greece
| | - Roberta Ricciardi
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
- Cardio Thoracic and Vascular Surgery Department, University of Pisa, Pisa, Italy
| | - Mario Losen
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Pilar Martinez-Martinez
- Research Group Neuroinflammation and Autoimmunity, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
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Wang J, Zhou H, Chen H, Feng H, Chang T, Sun C, Guo R, Ruan Z, Bi F, Li J, Wang J, Wang K, Ma G, Lei S, Wang C, Wang Z, Huang F, Zhang S, Wen Q, Wang Y, Sun Y, Li Y, Xie N, Liu H, Jiang Y, Lei L, Fan Z, Su S, Lu Y, Di L, Xu M, Wang M, Chen H, Wang S, Wen X, Zhu W, Duo J, Huang Y, Zheng D, Da Y. Environmental factors affecting the risk of generalization for ocular-onset myasthenia gravis: a nationwide cohort study. QJM 2024; 117:109-118. [PMID: 37802883 DOI: 10.1093/qjmed/hcad225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/20/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND The environmental effects on the prognosis of ocular myasthenia gravis (OMG) remain largely unexplored. AIM To investigate the association between specific environmental factors and the generalization of OMG. DESIGN The cohort study was conducted in China based on a nationwide multicenter database. METHODS Adult patients with OMG at onset, who were followed up for at least 2 years until May 2022, were included. We collected data on demographic and clinical factors, as well as environmental factors, including latitude, socioeconomic status (per capita disposable income [PDI] at provincial level and education) and smoking. The study outcome was the time to the development of generalized myasthenia gravis (GMG). Cox models were employed to examine the association between environmental exposures and generalization. Restricted cubic spline was used to model the association of latitude with generalization risk. RESULTS A total of 1396 participants were included. During a median follow-up of 5.15 (interquartile range [IQR] 3.37-9.03) years, 735 patients developed GMG within a median of 5.69 (IQR 1.10-15.66) years. Latitude of 20-50°N showed a U-shaped relation with generalization risk, with the lowest risk at around 30°N; both higher and lower latitudes were associated with the increased risk (P for non-linearity <0.001). Living in areas with lower PDI had 1.28-2.11 times higher risk of generalization. No significant association was observed with education or smoking. CONCLUSIONS Latitude and provincial-level PDI were associated with the generalization of OMG in China. Further studies are warranted to validate our findings and investigate their potential applications in clinical practice and health policy.
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Affiliation(s)
- Jingsi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Hongxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Huiyu Feng
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Chao Sun
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Rongjing Guo
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Fangfang Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jing Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jianwen Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kang Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Gaoting Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shaoyuan Lei
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chunxiu Wang
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feifei Huang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shu Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qi Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yaye Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yanan Sun
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yun Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Nairong Xie
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haoran Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuting Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lin Lei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhirong Fan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shengyao Su
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Lu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li Di
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hai Chen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Suobin Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xinmei Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wenjia Zhu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianying Duo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yue Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yuwei Da
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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Mi C, Hou A, Wang Z, Qi X, Teng J. Causal relationship between gut microbiota and myasthenia gravis: a two-sample Mendelian randomization study. Front Neurol 2024; 15:1309530. [PMID: 38333605 PMCID: PMC10850378 DOI: 10.3389/fneur.2024.1309530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 01/12/2024] [Indexed: 02/10/2024] Open
Abstract
Background Previous observational studies have provided cumulative data linking gut microbiota to myasthenia gravis (MG). However, the causal link between the two remains unexplored. Hence, the current study was performed to explore the causal link between them. Methods Mendelian randomization (MR) analysis was conducted using the summary statistics of 211 gut microbiota taxa and the largest genome-wide association studies (GWAS) for MG currently available. The inverse variance-weighted (IVW), MR-Egger, weighted median, and weighted mode methods were employed to ascertain the causal influence. Sensitivity studies utilizing several methodologies were then used to assess the robustness of the findings. Lastly, to evaluate reverse causality, a reverse MR analysis was performed. Results Seven suggestive causal associations between the gastrointestinal microbiota and MG were identified based on the outcomes of the MR analysis. Specifically, phylum Actinobacteria (OR: 0.602, 95% CI: 0.405-0.896, p = 0.012), class Gammaproteobacteria (OR: 0.587, 95% CI: 0.357-0.968, p = 0.037), and families Defluviitaleaceae (OR: 0.695, 95% CI: 0.485-0.996, p = 0.047), Family XIII (OR: 0.614, 95% CI: 0.412-0.916, p = 0.017), and Peptococcaceae (OR: 0.698, 95% CI: 0.505-0.964, p = 0.029) had suggestive protective effects on MG, while order Mollicutes RF9 (OR: 1.424, 95% CI: 1.015-1.998, p = 0.041) and genus Faecalibacterium (OR: 1.763, 95% CI: 1.220-2.547, p = 0.003) were suggestive risk factors for MG. The outcomes indicate that neither heterogeneity nor horizontal pleiotropy had any discernible impact. Nevertheless, this reverse analysis did not reveal any apparent effect of MG on the gut microbiota composition. Conclusion The MR investigation has substantiated the suggestive causal connection between gut microbiota and MG, which may provide helpful insights for innovative therapeutic and preventative approaches for MG. Further randomized controlled trials are needed to elucidate the gut microbiota's precise role and therapeutic potential in the pathogenesis of MG.
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Affiliation(s)
- Chuanhao Mi
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Ajiao Hou
- Key Laboratory of Basic and Application Research of Beiyao, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China
| | - Ziyue Wang
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Xianghua Qi
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jing Teng
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
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Shi M, Lu Z, Qin A, Cheng J, Chen S, Xing Y. A controlled clinical study on efficacy and safety of periocular triamcinolone acetonide injection for treating ocular myasthenia gravis. BMC Ophthalmol 2024; 24:33. [PMID: 38254041 PMCID: PMC10804469 DOI: 10.1186/s12886-024-03313-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
OBJECTIVE To evaluate the efficacy and safety of peribulbar triamcinolone acetonide injection for treating ocular myasthenia gravis (OMG), with a comparison of traditional oral drug therapy. METHODS A total of 22 patients with OMG who received periocular triamcinolone acetonide injection (initially 20 mg weekly, then once per month later if symptoms were improved) from July 2019 to July 2022 were evaluated by a comparison of symptom degree before and after treatment. Adverse reactions were also monitored during the period of treatment. The period of follow-up was more than 6 months. Additionally, a comparison of the treatment efficacy between this periocular injection and traditional oral administration was performed in OMG patients. RESULTS After 4 weeks of treatment, the degree of ptosis in OMG patients decreased to -3.00 ± 0.69, compared to the value (-0.86 ± 1.32) before treatment. The degree of ophthalmoplegia also decreased from 3.12 ± 0.72 to 0.86 ± 0.88 (P < 0.001) after treatment. The achievement rates of minimal manifestations status (MMS)for ptosis and ophthalmoplegia after 4 week-treatment were 86.3% and 75%, respectively, while they were 50% and 30% in patients with traditional oral administration. There was statistically significant difference only in MMS (rather than symptom relief rate and generalization conversion rate) between two groups. No serious complications (except for intraorbital hematoma) were found in OMG patients during the treatment period. CONCLUSION Repeated peribulbar injection of triamcinolone acetonide can effectively alleviate the initial symptoms of OMG patients. However, the evaluation of its long-term efficacy is still needed. CLINICAL TRIAL REGISTRY This study has been clinically registered by Chinese Clinical Trial Registry (ChiCTR), first trial registration date:05/07/2019, registration number: ChiCTR1900024285.
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Affiliation(s)
- Minghua Shi
- Department of Opthalmology, Aier Eye Hospital of Wuhan University, No. 481, Zhongshan Road, Wuchang District, Wuhan, 430060, China
| | - Zhuneng Lu
- Department of Neurology, RenMin Hospital of Wuhan University, Wuhan, China
| | - Aijiao Qin
- Department of Opthalmology, Aier Eye Hospital of Wuhan University, No. 481, Zhongshan Road, Wuchang District, Wuhan, 430060, China
| | - Jing Cheng
- Department of Opthalmology, Aier Eye Hospital of Wuhan University, No. 481, Zhongshan Road, Wuchang District, Wuhan, 430060, China
| | - Simin Chen
- Department of Opthalmology, Aier Eye Hospital of Wuhan University, No. 481, Zhongshan Road, Wuchang District, Wuhan, 430060, China
| | - Yiqiao Xing
- Department of Opthalmology, Aier Eye Hospital of Wuhan University, No. 481, Zhongshan Road, Wuchang District, Wuhan, 430060, China.
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Wilson L, Davis H. The Role of Thymoma and Thymic Hyperplasia as Prognostic Risk Factors for Secondary Generalisation in Adults with Ocular Myasthenia Gravis: A Systematic Narrative Review. Br Ir Orthopt J 2023; 19:108-119. [PMID: 38046270 PMCID: PMC10691285 DOI: 10.22599/bioj.315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/06/2023] [Indexed: 12/05/2023] Open
Abstract
Purpose The conversion of ocular myasthenia gravis (OMG) to generalised myasthenia gravis (GMG) is reported to differ depending on the presence of generalisation risk factors (Mazzoli et al. 2018). Thymic pathology has been recognised as a potential risk factor for generalisation in the literature (Teo et al. 2017). Thymoma and thymic hyperplasia have yet to be examined as a risk factor for generalisation of OMG independently of other risk factors in the literature. Thus, the purpose of this review is to examine the literature to identify whether thymoma and thymic hyperplasia do increase the risk of OMG progressing to GMG. Methods A literature search was carried out which employed a systematic approach. The search was undertaken using the following academic libraries: MEDLINE, Embase and Starplus. The search was limited to publications between the years 2001 to 2021. The search yielded 82 studies, which after the screening of titles and abstracts, left 62 studies for further analysis against the inclusion and exclusion criteria. Results The review found thymoma to be associated with an increased risk of GMG development. However, there was a scarce amount of literature which investigated thymic hyperplasia. Therefore, a firm conclusion could not be made with regards to thymic hyperplasia and the risk of GMG development. Conclusions This review provides evidence for the consideration of thymectomy early after thymomatous OMG diagnosis to prevent GMG conversion. As the review did not collect enough evidence to support the influence of thymic hyperplasia on OMG conversion, further research is required.
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Affiliation(s)
| | - Helen Davis
- The medical school University of Sheffield, UK
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Fang CEH, Bokre D, Wong SH. Clinical Characteristics Associated With Secondary Generalization in Patients With Ocular Myasthenia Gravis: A Systematic Review and Meta-analysis. Neurology 2023; 101:e1594-e1605. [PMID: 37643888 PMCID: PMC10585680 DOI: 10.1212/wnl.0000000000207642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/20/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Ocular myasthenia gravis (OMG) is an autoimmune disorder resulting in ocular symptoms such as diplopia and ptosis. The proportion of patients who convert to secondary generalized myasthenia gravis (SGMG) reported in the literature has been varied. The aim of this systematic review was to determine the clinical characteristics of patients with OMG and the proportion of SGMG conversion. METHODS We conducted an electronic database search for randomized controlled trials, prospective nonrandomized studies, observational studies, and retrospective studies in EMBASE, CENTRAL, MEDLINE, and Web of Science. We included studies with patients with OMG who initially presented with ocular symptoms and signs only and were seen in clinical practice, reporting on the characteristics and outcomes of SGMG. We excluded studies with pediatric and congenital myasthenia gravis populations. Eligible studies included articles written in any language and containing data on patients with OMG. The main outcome measured was the proportion of patients with OMG who converted to SGMG and risk factors associated with secondary generalization of OMG. Two independent reviewers screened titles and abstracts and extracted data from full texts, reporting findings according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The methodology was evaluated using the Joanna Briggs Institute critical appraisal forms. PROSPERO registration number: CRD2021285257. RESULTS Thirty-one studies were included in the quantitative and qualitative analysis. The proportion of generalization ranged from 11% to 84%. The pooled proportion was 39% (95% CI 32%-47%, I 2 = 95.86%, p < 0.001 unweighted, low certainty). The pooled risk ratio of female sex for conversion to SGMG was 1.06 (95% CI 0.96-1.17, I 2 = 0% p = 0.614, 21 studies included, very low certainty), and the pooled risk ratio of acetylcholine receptor (AChR) positivity was 1.30 (95% CI 1.05-1.56, I 2 = 0% p = 0.455, 16 studies included, very low certainty). DISCUSSION Risk factors such as female sex and anti-AChR positivity have been identified to have possible associations with SGMG, but there are not enough quality observational studies. There is a need for a prospective global database of patients with OMG, including all countries with different populations.
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Affiliation(s)
- Clarissa Ern Hui Fang
- From the Department of Ophthalmology (C.E.H.F.), Manchester Royal Eye Hospital; Joint Library of Ophthalmology (D.B.), Moorfields Eye Hospital and University College London; and Moorfields Eye Hospital & Guys & St Thomas' Hospitals (S.H.W.), London, United Kingdom.
| | - Desta Bokre
- From the Department of Ophthalmology (C.E.H.F.), Manchester Royal Eye Hospital; Joint Library of Ophthalmology (D.B.), Moorfields Eye Hospital and University College London; and Moorfields Eye Hospital & Guys & St Thomas' Hospitals (S.H.W.), London, United Kingdom
| | - Sui Hsien Wong
- From the Department of Ophthalmology (C.E.H.F.), Manchester Royal Eye Hospital; Joint Library of Ophthalmology (D.B.), Moorfields Eye Hospital and University College London; and Moorfields Eye Hospital & Guys & St Thomas' Hospitals (S.H.W.), London, United Kingdom
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Supawongwattana M, Vanikieti K, Jindahra P, Padungkiatsagul T. Significance of Acetylcholine Receptor Antibody Titers in Acetylcholine Receptor Antibody-Positive Ocular Myasthenia Gravis: Generalization and Presence of Thyroid Autoimmune Antibodies and Thymoma. Clin Ophthalmol 2023; 17:649-656. [PMID: 36875532 PMCID: PMC9983331 DOI: 10.2147/opth.s402181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 02/15/2023] [Indexed: 03/03/2023] Open
Abstract
Objective To evaluate the association in acetylcholine receptor (AChR) antibody-positive ocular myasthenia gravis (OMG) subjects between AChR antibody titers and conversion to generalized myasthenia gravis (GMG), the presence of thyroid autoimmune antibodies, and the presence of thymoma. Subjects and Methods A total of 118 subjects with AChR antibody-positive OMG were included. Demographic data, clinical characteristics, serology tests, presence of thymoma, treatment, and conversion to GMG were retrospectively reviewed. The presence of thyroid autoimmune antibodies was defined as the presence of at least one of the following: (1) thyroid peroxidase antibody; (2) thyroglobulin antibody; (3) thyroid-stimulating hormone receptor antibody. Univariate and multivariate logistic regression analyses were used as methods of evaluating association. Results AChR antibody titers were determined in all subjects with a median of 3.33 (0.46-141.09) nmol/L. The median follow-up period was 14.5 (3-113) months. At the final follow-up time-point, 99 subjects (83.90%) remained with a diagnosis of pure OMG, while 19 subjects (16.10%) had converted to GMG. An AChR antibody titer ≥8.11 nmol/L was associated with the conversion to GMG (odds ratio (OR) 3.66, 95% CI: 1.19-11.26; p = 0.023). Of the 79 subjects with available thyroid autoimmune antibodies data, 26 subjects (32.91%) displayed the presence of thyroid autoimmune antibodies. An AChR antibody titer ≥2.81 nmol/L was associated with the presence of thyroid autoimmune antibodies (OR 6.16, 95% CI: 1.79-21.22; p = 0.004). Finally, of the 106 subjects with available thoracic computed tomography (CT) data, only 9 subjects (8.49%) demonstrated the presence of thymoma. An AChR antibody titer ≥15.12 nmol/L was associated with the presence of thymoma (OR 4.97, 95% CI: 1.10-22.48; p = 0.037). Conclusion AChR antibody titers should be considered in AChR antibody-positive OMG patients. Those with AChR antibody titers ≥8.11 nmol/L, who are at a greater risk of conversion to GMG, should be closely monitored and encouraged to be aware of early clinical signs of life-threatening GMG. In addition, serum thyroid autoimmune antibodies and thoracic CT screening for thymoma should be performed in AChR antibody-positive OMG patients, particularly in those with AChR antibody titers ≥2.81 nmol/L and ≥15.12 nmol/L, respectively.
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Affiliation(s)
- Montana Supawongwattana
- Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Kavin Vanikieti
- Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Panitha Jindahra
- Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Tanyatuth Padungkiatsagul
- Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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Miyazaki Y, Sakushima K, Niino M, Takahashi E, Oiwa K, Naganuma R, Amino I, Akimoto S, Minami N, Yabe I, Kikuchi S. Smoking and younger age at onset in anti-acetylcholine receptor antibody-positive myasthenia gravis. Immunol Med 2022; 46:77-83. [PMID: 36346077 DOI: 10.1080/25785826.2022.2143077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Smoking is a known risk factor for the development and progression of several autoimmune diseases. Previous studies have pointed out the association of smoking with the development and worsening of symptoms in myasthenia gravis (MG), but further investigation is necessary to confirm this association. Smoking history was investigated in a cross-sectional study of 139 patients with anti-acetylcholine receptor antibody-positive MG, and the association of smoking history with the age at the onset of MG was analyzed. Patients who had been smoking at the onset of MG were significantly younger compared with those who had never smoked or had quit before the onset of MG. A linear regression analysis adjusting for sex and the presence/absence of thymoma showed a significant association between smoking at onset and younger age at onset (regression coefficient -9.05; 95% confidence interval, -17.6, -0.51; p = 0.039). Among patients with smoking exposure within 10 years prior to or at the onset of MG, women were significantly younger at the onset of MG compared with men. Our results suggest that smoking is an independent risk factor for the earlier development of anti-acetylcholine receptor antibody-positive MG and further support the putative link between smoking and MG.
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Affiliation(s)
- Yusei Miyazaki
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Ken Sakushima
- Department of Neurology, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Masaaki Niino
- Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Eri Takahashi
- Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Kei Oiwa
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Ryoji Naganuma
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Itaru Amino
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Sachiko Akimoto
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Naoya Minami
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | - Ichiro Yabe
- Department of Neurology, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Seiji Kikuchi
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
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10
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Lee I, Leach JM, Aban I, McPherson T, Duda PW, Cutter G. One-year follow-up of disease burden and medication changes in patients with myasthenia gravis: From the MG Patient Registry. Muscle Nerve 2022; 66:411-420. [PMID: 35673964 PMCID: PMC9796266 DOI: 10.1002/mus.27659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 05/31/2022] [Accepted: 06/04/2022] [Indexed: 01/01/2023]
Abstract
INTRODUCTION/AIMS We studied the progression of myasthenia gravis (MG) disease burden and medication adjustment among MG Patient Registry participants. METHODS Participants diagnosed with MG (age ≥18 years), registered between July 1, 2013 and July 31, 2018 and completing both 6- and 12-month follow-up surveys, were included in this investigation. Participants were grouped into high-burden (Myasthenia Gravis Activity of Daily Living scale [MG-ADL] score ≥6) and low-burden (MG-ADL <6) groups based on MG-ADL scores at enrollment. Demographics and disease history were compared between groups. MG-ADL score change and medication changes (escalation, no change, de-escalation) between enrollment and 12-month follow-up were compared between groups. Minimal symptom expression (MSE, MG-ADL <2) at 12 months was compared between groups. Logistic regression analysis was performed to study factors associated with MSE at 12 months. RESULTS In total, 520 participants (56% female) were included in high-burden (n = 248) and low-burden (n = 272) groups. Those in the high-burden group were more likely to be younger, female, and have shorter disease duration. At 12 months, MSE was achieved in 6% of the high-burden group and newly achieved (42 of 201, 21%) or maintained (52 of 71, 73%) in the low-burden group. In the multivariable analysis, being in the high-burden group and use of pyridostigmine were associated with less likelihood of MSE, whereas MG-ADL score improvement (>2 or >20%) at 6 months significantly increased the likelihood of achieving MSE at 12 months (P = .0004). DISCUSSION In both groups, but more so in the high-burden group, patients infrequently achieved MSE after 1 year of MG treatment. Baseline low disease burden, improvement at 6 months and no pyridostigmine use were associated with a higher likelihood of MSE at 12 months.
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Affiliation(s)
- Ikjae Lee
- The Neurological Institute of New YorkColumbia UniversityNew YorkNew YorkUSA
| | - Justin M. Leach
- Department of BiostatisticsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Inmaculada Aban
- Department of BiostatisticsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Tarrant McPherson
- Department of BiostatisticsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Petra W. Duda
- Department of Clinical Research, Ra Pharmaceuticals, IncCambridgeMassachusettsUSA
| | - Gary Cutter
- Department of BiostatisticsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
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11
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Ruan Z, Sun C, Lang Y, Gao F, Guo R, Xu Q, Yu L, Wu S, Lei T, Liu Y, Zhang M, Li H, Tang Y, Gao T, Gao Y, Lu X, Li Z, Chang T. Development and Validation of a Nomogram for Predicting Generalization in Patients With Ocular Myasthenia Gravis. Front Immunol 2022; 13:895007. [PMID: 35874731 PMCID: PMC9302474 DOI: 10.3389/fimmu.2022.895007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/08/2022] [Indexed: 11/14/2022] Open
Abstract
Background This study aims to develop and validate a nomogram for predicting 1- and 2-year generalization probabilities in patients with ocular myasthenia gravis (OMG). Methods In total, 501 eligible patients with OMG treated at seven tertiary hospitals in China between January 2015 and May 2019 were included. The primary outcome measure was disease generalization. A nomogram for predicting 1- and 2-year generalization probabilities was constructed using a stepwise Cox regression model. Nomogram performance was quantified using C-indexes and calibration curves. Two-year cumulative generalization rates were analyzed using the Kaplan−Meier method for distinct nomogram-stratified risk groups. The clinical usefulness of the nomogram was evaluated using decision curve analysis (DCA). Result The eligible patients were randomly divided into a development cohort (n=351, 70%) and a validation cohort (n=150, 30%). The final model included five variables: sex, onset age, repetitive nerve stimulation findings, acetylcholine receptor antibody test results, and thymic status. The model demonstrated good discrimination (C-indexes of 0.733 and 0.788 in the development and validation cohorts, respectively) and calibration, with good agreement between actual and nomogram-estimated generalization probabilities. Kaplan−Meier curves revealed higher 2-year cumulative generalization rates in the high-risk group than that in the low-risk group. DCA demonstrated a higher net benefit of nomogram-assisted decisions compared to treatment of all patients or none. Conclusion The nomogram model can predict 1- and 2-year generalization probabilities in patients with OMG and stratified these patients into distinct generalization risk groups. The nomogram has potential to aid neurologists in selecting suitable patients for initiating immunotherapy and for enrolment in clinical trials of risk-modifying treatments.
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Affiliation(s)
- Zhe Ruan
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Chao Sun
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Yanlin Lang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Feng Gao
- Department of Neuroimmunology, Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Rongjing Guo
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Quan Xu
- Department of Thoracic Surgery, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Liping Yu
- Department of Neurology, Xianyang First People’s Hospital, Xianyang, China
| | - Songdi Wu
- Department of Neurology, Xi'an No.1 Hospital, Xi’an, China
| | - Tao Lei
- Department of Neurology, Xi’an Fourth People’s Hospital, Xi’an, China
| | - Yu Liu
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Min Zhang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Huanhuan Li
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Yonglan Tang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Ting Gao
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Yanwu Gao
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Xiaodan Lu
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
| | - Zhuyi Li
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
- *Correspondence: Zhuyi Li, ; Ting Chang,
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, China
- *Correspondence: Zhuyi Li, ; Ting Chang,
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12
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Li F, Zhang H, Tao Y, Stascheit F, Han J, Gao F, Liu H, Carmona-Bayonas A, Li Z, Rueckert JC, Meisel A, Zhao S. Prediction of the generalization of myasthenia gravis with purely ocular symptoms at onset: a multivariable model development and validation. Ther Adv Neurol Disord 2022; 15:17562864221104508. [PMID: 35755967 PMCID: PMC9218496 DOI: 10.1177/17562864221104508] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/05/2022] [Indexed: 11/16/2022] Open
Abstract
Background About half of myasthenia gravis (MG) patients with purely ocular symptoms at onset progress to generalized myasthenia gravis (gMG). Objectives To develop and validate a model to predict the generalization of MG at 6 months after disease onset in patients with ocular-onset myasthenia gravis (OoMG). Methods Data of patients with OoMG were retrospectively collected from two tertiary hospitals in Germany and China. An accelerated failure time model was developed using the backward elimination method based on the German cohort to predict the generalization of OoMG. The model was then externally validated in the Chinese cohort, and its performance was assessed using Harrell's C-index and calibration plots. Results Four hundred and seventy-seven patients (275 from Germany and 202 from China) were eligible for inclusion. One hundred and three (37.5%) patients in the German cohort progressed from OoMG to gMG with a median follow-up time of 69 (32-116) months. The median time to generalization was 29 (16-71) months. The estimated cumulative probability of generalization was 30.5% [95% CI (confidence interval), 24.3-36.2%) at 5 years after disease onset. The final model, which was represented as a nomogram, included five clinical variables: sex, titer of anti-AChR antibody, status of anti-MuSK antibody, age at disease onset and the presence of other autoimmune disease. External validation of the model using the bootstrap showed a C-index of 0.670 (95% CI, 0.602-0.738). Calibration curves revealed moderate agreement of predicted and observed outcomes. Conclusion The nomogram is a good predictor for generalization in patients with OoMG that can be used to inform of the individual generalization risk, which might improve the clinical decision-making.
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Affiliation(s)
- Feng Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongbin Zhang
- Department of Surgery, Competence Center of Thoracic Surgery, Charite University Hospital Berlin, Berlin, Germany
| | - Ya Tao
- Department of Obstetrics, The First Affiliated Hospital of Zhengzhou University, Obstetric Emergency and Critical Care Medicine of Henan Province, Zhengzhou, China
| | - Frauke Stascheit
- Department of Neurology, Integrated Center for Myasthenia Gravis, NeuroCure Clinical Research Center, Center for Stroke Research Berlin, Charité - University Medicine Berlin, Berlin, Germany
| | - Jiaojiao Han
- Department of Neuroimmunology, Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Feng Gao
- Department of Neuroimmunology, Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Hongbo Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Alberto Carmona-Bayonas
- Hospital Universitario Morales Meseguer, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria, Murcia, Spain
| | - Zhongmin Li
- Department of Surgery, Competence Center of Thoracic Surgery, Charite University Hospital Berlin, Berlin, Germany
| | - Jens-C Rueckert
- Department of Surgery, Competence Center of Thoracic Surgery, Charite University Hospital Berlin, 10117, Berlin, Germany
| | - Andreas Meisel
- Department of Neurology, Integrated Center for Myasthenia Gravis, NeuroCure Clinical Research Center, Center for Stroke Research Berlin, Charité - University Medicine Berlin, Berlin, Germany
| | - Song Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
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13
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Miyazaki Y, Niino M, Sakushima K, Takahashi E, Naganuma R, Amino I, Akimoto S, Minami N, Yabe I, Kikuchi S. Association of Smoking and Generalized Manifestations of Myasthenia Gravis. Intern Med 2022; 61:1693-1698. [PMID: 34744112 PMCID: PMC9259322 DOI: 10.2169/internalmedicine.8460-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective Smoking is a known risk factor for the development and progression of autoimmune diseases. Previous studies in ocular myasthenia gravis (MG) patients showed that smoking is associated with the severity of symptoms and progression to generalized MG. However, whether smoking affects MG symptoms in patients with a broader clinical spectrum of presentations is unknown. Therefore, in this study, the associations of smoking with the clinical characteristics of MG were analyzed in a cohort of patients including those with generalized, seronegative, and thymoma-associated MG. Methods The smoking history was investigated in a cross-sectional study of 187 patients with MG followed in a referral hospital for neurology. The association of smoking with MG-activities of daily living score at survey, the presence of generalized manifestations, and the age of onset was assessed using multiple regression models. Results Neither current nor prior smoking habit was associated with the MG-activities of daily living score at survey. However, smoking exposure after MG onset was significantly associated with the presence of generalized manifestations during the disease course (odds ratio, 3.57; 95% confidence interval, 1.04, 12.3). The smoking history before or at onset of MG was not associated with the age of onset. Conclusion Smoking exposure after the onset is associated with generalized manifestations of MG in our cohort of patients with a broad clinical spectrum of presentations.
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Affiliation(s)
- Yusei Miyazaki
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Japan
| | - Masaaki Niino
- Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Japan
| | - Ken Sakushima
- Department of Neurology, Hokkaido University Graduate School of Medicine, Japan
| | - Eri Takahashi
- Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Japan
| | - Ryoji Naganuma
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Japan
| | - Itaru Amino
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Japan
| | - Sachiko Akimoto
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Japan
| | - Naoya Minami
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Japan
| | - Ichiro Yabe
- Department of Neurology, Hokkaido University Graduate School of Medicine, Japan
| | - Seiji Kikuchi
- Department of Neurology, National Hospital Organization Hokkaido Medical Center, Japan
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14
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Ocular myasthenia gravis and risk factors for developing a secondary generalisation: description of a Spanish series. NEUROLOGÍA (ENGLISH EDITION) 2022; 38:229-235. [PMID: 35637136 DOI: 10.1016/j.nrleng.2020.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 09/08/2020] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Ocular myasthenia gravis (MG) is the most common phenotype of MG at onset. A variable percentage of these patients develop secondary generalisation; the risk factors for conversion and the protective effect of immunosuppressive treatment are currently controversial. PATIENTS AND METHODS We designed a retrospective single-centre study with the aim of describing the demographic, clinical, and laboratory characteristics of a Spanish cohort of patients with ocular MG from Hospital Universitario de Albacete from January 2008 to February 2020. RESULTS We selected 62 patients with ocular MG from a cohort of 91 patients with MG (68.1%). Median age at diagnosis was 68 (IQR, 52-75.3), and men accounted for 61.3% of the sample (n = 38). Most patients presented very late-onset ocular MG (n = 34, 54.8%). Binocular diplopia was the most frequent initial symptom (51.7%). The rate of progression to generalised MG was 50% (n = 31), with a median time of 6 months (IQR, 2-12.8). Female sex (OR: 5.46; 95% CI, 1.16-25-74; P= .03) and anti-acetylcholine receptor antibodies (OR: 8.86; 95% CI, 1.15-68.41; P = .04) were significantly associated with the risk of developing generalised MG. CONCLUSIONS The conversion rate observed in our series is relatively high. Generalisation of MG mainly occurs during the first 2 years of progression, and is strongly associated with female sex and especially with the presence of anti-acetylcholine receptor antibodies.
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15
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Lei L, Fan Z, Su S, Xu M, Chen H, Zhu W, Luan Q, Da Y. Involvement of Ocular Muscles in Patients With Myasthenia Gravis With Nonocular Onset. J Neuroophthalmol 2022; 42:e260-e266. [PMID: 34369469 DOI: 10.1097/wno.0000000000001325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Myasthenia gravis (MG) is an autoimmune disorder involving neuromuscular junctions and more than half of MG patients manifested with extraocular muscle weakness initially. In the remained patients, ocular weakness may occur later in the course of the disease. However, little data are available about ocular involvement in such patients. Therefore, the study aims to investigate ocular weakness in MG patients with nonocular onset and evaluate the associated factors influencing it. METHODS In our monocentric retrospective study, 54 adult-onset patients with MG with nonocular onset were included and were followed up for at least 2 years from the onset. The primary outcome was the occurrence of ptosis, diplopia, or both. Kaplan-Meier analysis was performed to estimate the time to the ocular weakness, and log-rank tests were used to analyze the association between clinical characteristics and ocular weakness. Multivariate Cox proportional hazards regression models were used to identify factors associated with ocular involvement. RESULTS A total of 47 (87.0%) patients developed ocular weakness during the study period. The median time to ocular weakness was 6.0 months. Time to the ocular involvement was earlier in patients with bulbar onset (P = 0.007), whereas patients receiving pyridostigmine monotherapy and immunomodulatory therapy had a longer median time of ocular weakness (P < 0.0001). No significant difference was noted between ocular weakness and age of onset, gender, and thymoma. The Cox analysis showed that bulbar onset was a risk factor of ocular weakness (adjusted hazard ratio [HR] 2.65, 95% confidence interval [CI] 1.41-4.99), whereas pyridostigmine monotherapy (adjusted HR 0.28, 95% CI 0.13-0.60) and immunotherapy (adjusted HR 0.09, 95% CI 0.04-0.22) were protective factors. CONCLUSIONS Eighty-seven percent of patients with MG with nonocular onset developed ocular weakness. Bulbar onset was an independent risk factor for ocular involvement, whereas pyridostigmine and immunotherapy were protective factors.
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Affiliation(s)
- Lin Lei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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16
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Guo RJ, Gao T, Ruan Z, Zhou HY, Gao F, Xu Q, Yu LP, Wu SD, Lei T, Li HH, Sun C, Zhang M, Gao YW, Lu XD, Tang YL, Tang BL, Huo FY, Zhu Y, Li ZY, Chang T. Risk Factors for Generalization in Patients with Ocular Myasthenia Gravis: A Multicenter Retrospective Cohort Study. Neurol Ther 2021; 11:73-86. [PMID: 34729706 PMCID: PMC8857387 DOI: 10.1007/s40120-021-00292-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 10/14/2021] [Indexed: 02/08/2023] Open
Abstract
Introduction Many patients with ocular myasthenia gravis (OMG) progress to generalized disease within the first 2 years of the onset of ocular symptoms. Several retrospective studies have identified risk factors associated with generalization, however these studies included patients on immunosuppression therapy or those undergoing thymectomy, which may reduce the generalization risk. In this study we explored the risk factors for generalization in non-immunosuppressed and non-thymectomized patients with OMG. Methods Data from patients with OMG treated at seven tertiary hospitals in China were retrospectively reviewed. Clinical characteristics, including sex, age at onset, symptoms at onset, comorbid autoimmune diseases, neostigmine test response, repetitive nerve stimulation (RNS) findings, presence of serum anti-acetylcholine receptor antibody (AChR-Ab), and thymic status based on radiological and pathological studies, were collected. The main outcome measure was disease generalization. The follow-up period was defined as the date of ocular symptom onset to the date of confirmation of generalization or immunotherapy initiation, or last follow-up (defined as 60 months). The Cox proportional hazards model was used to assess the risk factors for generalization. Results Overall, 572 patients (269 women) were eligible for inclusion in the analysis, of whom 144 developed generalization. The mean (standard deviation) onset age was 45.5 (19.8) years, and the median (interquartile range) follow-up period was 14.5 (7.0–47.3) months. Multivariable Cox regression analysis demonstrated that both early-onset (adjusted hazard ratio [aHR] 5.34; 95% confidence interval [CI] 1.64–17.36; p = 0.005) and late-onset (aHR 7.18; 95% CI 2.22–23.27; p = 0.001) in adulthood, abnormal RNS findings (aHR 3.01; 95% CI 1.97–4.61; p < 0.001), seropositivity for AChR-Ab (aHR 2.58; 95% CI 1.26–5.26; p = 0.01), and thymoma (aHR 1.62; 95% CI 1.05–2.49; p = 0.03) were independently associated with increased risk of generalization. Conclusion The risk of generalization increased significantly in patients with adult-onset OMG, abnormal RNS findings, seropositivity for AChR-Ab, and thymoma, suggesting that these risk factors may predict OMG generalization. Supplementary Information The online version contains supplementary material available at 10.1007/s40120-021-00292-x.
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Affiliation(s)
- Rong-Jing Guo
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Ting Gao
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Hong-Yu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Feng Gao
- Department of Neuroimmunology, Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Quan Xu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital, Nanchang, China
| | - Li-Ping Yu
- Department of Neurology, Xianyang First People's Hospital, Xianyang, China
| | - Song-Di Wu
- Department of Neurology, Xi'an No.1 Hospital, Xi'an, China
| | - Tao Lei
- Department of Neurology, Xi'an Fourth Hospital, Xi'an, China
| | - Huan-Huan Li
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Chao Sun
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Min Zhang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Yan-Wu Gao
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Xiao-Dan Lu
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Yong-Lan Tang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Bao-Li Tang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Fei-Yan Huo
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Ying Zhu
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China
| | - Zhu-Yi Li
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, 710038, China.
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17
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Gilhus NE, Verschuuren JJGM, Hovland SIB, Simmonds H, Groot F, Palace J. Myasthenia gravis: do not forget the patient perspective. Neuromuscul Disord 2021; 31:S0960-8966(21)00583-6. [PMID: 34635387 DOI: 10.1016/j.nmd.2021.07.396] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/09/2021] [Accepted: 07/20/2021] [Indexed: 12/19/2022]
Affiliation(s)
- Nils Erik Gilhus
- Department of Clinical Medicine, University of Bergen, Norway; Department of Neurology, Haukeland University Hospital, Bergen, Norway.
| | | | | | - Huw Simmonds
- Myaware, College Business Centre, Derby, England
| | - Floor Groot
- Dutch Neuromuscular disease Association, Baarn, The Netherlands
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Hospitals Trust, Oxford, England
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18
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Witthayaweerasak J, Rattanalert N, Aui-aree N. Prognostic factors for conversion to generalization in ocular myasthenia gravis. Medicine (Baltimore) 2021; 100:e25899. [PMID: 34106649 PMCID: PMC8133228 DOI: 10.1097/md.0000000000025899] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 04/22/2021] [Indexed: 11/25/2022] Open
Abstract
Patients with ocular myasthenia gravis (OMG) are frequently treated to prevent the development of generalized myasthenia gravis (GMG). This retrospective cohort study aimed to assess prognostic factors associated with conversion to GMG.We analyzed the time from the onset of OMG symptoms to GMG in relation to demographic variables, clinical findings, initial investigation results, and treatment regimens using Kaplan-Meier survival curves and multivariate Cox proportional regression analysis.Of 115 patients diagnosed with OMG (median follow-up time, 2.9 years), 28 (30.4%) developed GMG. The 2-year probability of GMG conversion was 23.7%. Patients with thymic abnormalities and a positive response to repetitive facial nerve stimulation had a significantly higher risk than those with negative results (hazard ratios [HR] 4.28, P < .001 and HR 3.84, P = .04, respectively). Treatment with immunosuppressants was found to be a preventive factor for secondary generalization (HR 0.36, P = .02).Patients with OMG had a low risk of developing GMG. Immunosuppressive treatments may mitigate disease progression. Chest imaging and repetitive nerve stimulation should be routinely performed to assess the risk of generalization.
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Abstract
ABSTRACT This update covers recommendations for myasthenia gravis (MG) in patients with coronavirus 2019 disease as well as reports of the clinical features of patients with MG and coronavirus 2019. Updated advisory committee recommendations for the use of thymectomy in generalized MG are also provided. Other MG topics include lipoprotein receptor-4 and agrin antibody associations, factors influencing conversion of ocular to generalized MG, the use of rituximab for more recent onset disease, immunoglobulins for maintenance therapy, and fatigue and depression.
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Affiliation(s)
- David Lacomis
- Departments of Neurology and Pathology (Neuropathology), University of Pittsburgh School of Medicine, Pittsburgh, PA; and
| | - Gil I Wolfe
- Department of Neurology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences/SUNY, Buffalo, NY
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20
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Evoli A, Iorio R. Controversies in Ocular Myasthenia Gravis. Front Neurol 2020; 11:605902. [PMID: 33329368 PMCID: PMC7734350 DOI: 10.3389/fneur.2020.605902] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 10/26/2020] [Indexed: 12/12/2022] Open
Abstract
Myasthenia gravis (MG) with symptoms limited to eye muscles [ocular MG (OMG)] is a rare disease. OMG incidence varies according to ethnicity and age of onset. In recent years, both an increase in incidence rate, particularly in the elderly, and a lower risk for secondary generalization may have contributed to the growing disease prevalence in Western countries. OMG should be considered in patients with painless ptosis and extrinsic ophthalmoparesis. Though asymmetric muscle involvement and symptom fluctuations are typical, in some cases, OMG can mimic isolated cranial nerve paresis, internuclear ophthalmoplegia, and conjugate gaze palsy. Diagnostic confirmation can be challenging in patients negative for anti-acetylcholine receptor and anti-muscle-specific tyrosine kinase antibodies on standard radioimmunoassay. Early treatment is aimed at relieving symptoms and at preventing disease progression to generalized MG. Despite the absence of high-level evidence, there is general agreement on the efficacy of steroids at low to moderate dosage; immunosuppressants are considered when steroid high maintenance doses are required. The role of thymectomy in non-thymoma patients is controversial. Prolonged exposure to immunosuppressive therapy has a negative impact on the health-related quality of life in a proportion of these patients. OMG is currently excluded from most of the treatments recently developed in generalized MG.
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Affiliation(s)
- Amelia Evoli
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.,Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Raffaele Iorio
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.,Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
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21
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Díaz-Maroto I, García-García J, Sánchez-Ayaso PA, Alcahut-Rodríguez C, González-Villar E, Pardal-Fernández JM, Segura T. Ocular myasthenia gravis and risk factors for developing a secondary generalisation: Description of a Spanish series. Neurologia 2020; 38:S0213-4853(20)30300-5. [PMID: 33208236 DOI: 10.1016/j.nrl.2020.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/07/2020] [Accepted: 09/08/2020] [Indexed: 10/23/2022] Open
Abstract
INTRODUCTION Ocular myasthenia gravis (MG) is the most common phenotype of MG at onset. A variable percentage of these patients develop secondary generalisation; the risk factors for conversion and the protective effect of immunosuppressive treatment are currently controversial. PATIENTS AND METHODS We designed a retrospective single-centre study with the aim of describing the demographic, clinical, and laboratory characteristics of a Spanish cohort of patients with ocular MG from Hospital Universitario de Albacete from January 2008 to February 2020. RESULTS We selected 62 patients with ocular MG from a cohort of 91 patients with MG (68.1%). Median age at diagnosis was 68 (IQR, 52-75.3), and men accounted for 61.3% of the sample (n = 38). Most patients presented very late-onset ocular MG (n = 34, 54.8%). Binocular diplopia was the most frequent initial symptom (51.7%). The rate of progression to generalised MG was 50% (n = 31), with a median time of 6 months (IQR, 2-12.8). Female sex (OR: 5.46; 95% CI, 1.16-25-74; p = .03) and anti-acetylcholine receptor antibodies (OR: 8.86; 95% CI, 1.15-68.41; p = .04) were significantly associated with the risk of developing generalised MG. CONCLUSIONS The conversion rate observed in our series is relatively high. Generalisation of MG mainly occurs during the first 2 years of progression, and is strongly associated with female sex and especially with the presence of anti-acetylcholine receptor antibodies.
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Affiliation(s)
- I Díaz-Maroto
- Servicio de Neurología del Complejo Hospitalario Universitario de Albacete, Albacete, España.
| | - J García-García
- Servicio de Neurología del Complejo Hospitalario Universitario de Albacete, Albacete, España
| | - P A Sánchez-Ayaso
- Servicio de Neurología del Hospital General Universitario Reina Sofía de Murcia, Murcia, España
| | - C Alcahut-Rodríguez
- Servicio de Neurología del Complejo Hospitalario Universitario de Albacete, Albacete, España
| | - E González-Villar
- Servicio de Neurología del Complejo Hospitalario Universitario de Albacete, Albacete, España
| | - J M Pardal-Fernández
- Neurofisiología Clínica del Complejo Hospitalario Universitario de Albacete, Albacete, España
| | - T Segura
- Servicio de Neurología del Complejo Hospitalario Universitario de Albacete, Albacete, España
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22
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Clinical features and treatment status of antiacetylcholine receptor antibody-positive ocular myasthenia gravis. Jpn J Ophthalmol 2020; 64:628-634. [PMID: 32936398 DOI: 10.1007/s10384-020-00770-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 07/16/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE To clarify the factors predictive of progression from ocular myasthenia gravis (OMG) to generalized MG (GMG) among patients with positive antiacetylcholine receptor antibodies (AChRAb) and to evaluate the efficacy of our OMG treatment protocol including tacrolimus (TAC). STUDY DESIGN Retrospective study. METHODS Fifty-two patients with AChRAb positivity and ptosis and/or eye movement disturbance showing diurnal fluctuation and fatigability were included. First, we compared the clinical characteristics of patients without OMG progression (p-OMG) with those of patients whose OMG transformed to GMG (TMG). Second, we subdivided the p-OMG patients according to the time of approval of TAC into the Before group and the After group. We compared the dosage and period of prednisolone administration (PSL) of the 2 groups. Third, we evaluated the responses to OMG treatment using the Myasthenia Gravis Foundation of America Postintervention Status (MGFA-PS) scale. RESULTS Forty-one patients were classified into the p-OMG group, and 11, into the TMG group. The AChRAb level (P = 0.0006) and prevalence of thymoma (P = 0.001) were significantly higher in the TMG group than in the p-OMG group. In the p-OMG group, the MG composite score (P ≤ 0.0001) and AChRAb level (P = 0.005) improved after treatment. The periods of PSL administration at ≥ 20 mg/day (P = 0.009) and at 10 to 19 mg/day (P = 0.002) were significantly shorter in the After group. At the last follow-up, 78.0% of the p-OMG group patients had achieved MGFA-PS minimal manifestations or better status with PSL ≤ 5 mg/day. CONCLUSIONS The TMG cases were characterized by higher AChRAb levels and presence of thymoma. The P-OMG patients could be managed with our treatment protocol. Combined use of TAC was efficacious in patients with steroid-dependent p-OMG.
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Tan X, Huang Y, Chai T, Zhao X, Li Y, Wu J, Zhang H, Duan J, Liang W, Yin B, Cheng K, Yu G, Zheng P, Xie P. Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis. Front Microbiol 2020; 11:564579. [PMID: 33013794 PMCID: PMC7506099 DOI: 10.3389/fmicb.2020.564579] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 08/18/2020] [Indexed: 12/21/2022] Open
Abstract
Myasthenia gravis (MG) is a devastating acquired autoimmune disease. Previous studies have observed that disturbances of gut microbiome may attribute to the development of MG through fecal metabolomic signatures in humans. However, whether there were differential gut microbial and fecal metabolomic phenotypes in different subtypes of MG remains unclear. Here, our objective was to explore whether the microbial and metabolic signatures of ocular (OMG) and generalized myasthenia gravis (GMG) were different, and further identify the shared and distinct markers for patients with OMG and GMG. In this study, 16S ribosomal RNA (rRNA) gene sequencing and gas chromatography-mass spectrometry (GC/MS) were performed to capture the microbial and metabolic signatures of OMG and GMG, respectively. Random forest (RF) classifiers was used to identify the discriminative markers for OMG and GMG. Compared with healthy control (HC) group, GMG group, but not OMG group, showed a significant decrease in α-phylogenetic diversity. Both OMG and GMG groups, however, displayed significant gut microbial and metabolic disorders. Totally, we identified 20 OTUs and 9 metabolites specific to OMG group, and 23 OTUs and 7 metabolites specific to GMG group. Moreover, combinatorial biomarkers containing 15 discriminative OTUs and 2 differential metabolites were capable of discriminating OMG and GMG from each other, as well as from HCs, with AUC values ranging from 0.934 to 0.990. In conclusion, different subtypes of MG harbored differential gut microbiota, which generated discriminative fecal metabolism.
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Affiliation(s)
- Xunmin Tan
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Yu Huang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Tingjia Chai
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Xiaoli Zhao
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yifan Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Jing Wu
- The M.O.E. Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Hanping Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Jiajia Duan
- The M.O.E. Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Weiwei Liang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
| | - Bangmin Yin
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Ke Cheng
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Gang Yu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Peng Zheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
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