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Papathanasiou A, Tench CR, Ambrose PA, Sedehizadeh S, Tanasescu R. Pre-thymectomy disease severity predicts outcome in acetylcholine receptor antibody-positive generalised myasthenia gravis. J Neurol 2024; 271:6220-6226. [PMID: 39080053 DOI: 10.1007/s00415-024-12592-x] [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: 05/12/2024] [Revised: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 09/06/2024]
Abstract
INTRODUCTION There are only a few studies exploring post-thymectomy outcome in patients with acetylcholine receptor antibody (AChR-Ab)-positive generalised myasthenia gravis (MG). OBJECTIVE To assess the predictors of outcome in patients with AChR-Ab-positive generalised MG who underwent thymectomy. METHODS A retrospective study of 53 patients from a single neuroscience centre in the UK. RESULTS The mean disease duration from diagnosis was 6.2 ± 4.3 years. Pre-thymectomy, 37 patients had mild weakness affecting muscles other than ocular muscles, 11 patients had moderate weakness and 5 patients had severe weakness. 27/53 patients had thymoma. Post-thymectomy (mean duration of 5.7 ± 4.2 years), 34 patients (64%) had a good outcome characterised by Myasthenia Gravis Foundation of America Post-Intervention Status of complete stable remission (no symptoms or signs of MG for at least 1 year without any therapy) or pharmacological remission (no symptoms or signs of MG with some form of therapy) or minimal manifestations (no symptoms of functional limitations from MG but weakness on examination of some muscles with or without some form of therapy) on last follow-up visit. Having thymomatous or non-thymomatous MG did not predict the outcome. The only variable that did predict outcome was pre-thymectomy disease severity; patients with mild weakness before thymectomy had a favourable outcome. We found an accuracy of 83% predicting outcome (95% confidence interval (CI) 60%, 100%) with a sensitivity of 84% (95% CI 68%, 94%) and specificity of 81% (95% CI 54%, 96%). CONCLUSION Disease severity before thymectomy predicts outcome in patients with AChR-Ab-positive generalised MG.
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Affiliation(s)
- Athanasios Papathanasiou
- Department of Neurology, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK.
| | - Chris R Tench
- Academic Neurology Group, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Philip A Ambrose
- Department of Neurology, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK
| | - Saam Sedehizadeh
- Department of Neurology, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK
| | - Radu Tanasescu
- Department of Neurology, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK
- Academic Neurology Group, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
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Liu X, Li R, Li W, Liu W, Wang J, Jing Y. The rate of QMGS change predicts recurrence after thymectomy in myasthenia gravis. J Clin Neurosci 2024; 124:20-26. [PMID: 38640804 DOI: 10.1016/j.jocn.2024.04.011] [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: 10/26/2023] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 04/21/2024]
Abstract
OBJECTIVE To investigate the relationship between short-term changes in quantitative myasthenia gravis score (QMGS) after thymectomy and postoperative recurrence in myasthenia gravis (MG) patients without thymoma. METHODS A retrospective observational cohort study. The QMGS of 44 patients with non-thymomatous MG were evaluated before and 1 month after thymectomy, and the frequency and time of postoperative recurrence were recorded. The reduction rate of QMGS (rr-QMGS) was defined as (QMGS one week before thymectomy - QMGS one month after thymectomy)/ QMGS one week before thymectomy × 100 %, as an indicator of short-term symptom change after thymectomy. The receiver operating characteristic (ROC) curve was established to determine an appropriate cut-off value of rr-QMGS for distinguishing postoperative recurrence. Multivariate Cox regression analysis was applied to predict postoperative recurrence. RESULTS Postoperative recurrence occurred in 21 patients (30 times in total) during follow-up. The mean annual recurrence rate was 3.98 times/year preoperatively and 0.30 times/year postoperatively. ROC analysis determined the cut-off value of rr-QMGS was 36.7 % (sensitivity 90.5 %, specificity 52.2 %). Multivariate Cox regression analysis showed that rr-QMGS<36.7 % (hazard rate[HR]6.251, P = 0.014) is positive predictor of postoperative recurrence. Kaplan-Meier analysis showed that postoperative recurrence time was earlier in the low rr-QMGS group than in the high rr-QMGS group (12.62 vs. 36.60 months, p = 0.005). CONCLUSIONS Low rr-QMGS is associated with early postoperative recurrence. Rr-QMGS can be used to predict postoperative recurrence of non-thymomatous MG.
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Affiliation(s)
- Xinxin Liu
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Ran Li
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Wenwen Li
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Wei Liu
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Jiawei Wang
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Yun Jing
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
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Chen K, Li Y, Yang H. Poor responses and adverse outcomes of myasthenia gravis after thymectomy: Predicting factors and immunological implications. J Autoimmun 2022; 132:102895. [PMID: 36041292 DOI: 10.1016/j.jaut.2022.102895] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 10/15/2022]
Abstract
Myasthenia gravis (MG) has been recognized as a series of heterogeneous but treatable autoimmune conditions. As one of the indispensable therapies, thymectomy can achieve favorable prognosis especially in early-onset generalized MG patients with seropositive acetylcholine receptor antibody. However, poor outcomes, including worsening or relapse of MG, postoperative myasthenic crisis and even post-thymectomy MG, are also observed in certain scenarios. The responses to thymectomy may be associated with the general characteristics of patients, disease conditions of MG, autoantibody profiles, native or ectopic thymic pathologies, surgical-related factors, pharmacotherapy and other adjuvant modalities, and the presence of comorbidities and complications. However, in addition to these variations among individuals, pathological remnants and the abnormal immunological milieu and responses potentially represent major mechanisms that underlie the detrimental neurological outcomes after thymectomy. We underscore these plausible risk factors and discuss the immunological implications therein, which may be conducive to better managing the indications for thymectomy, to avoiding modifiable risk factors of poor responses and adverse outcomes, and to developing post-thymectomy preventive and therapeutic strategies for MG.
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Affiliation(s)
- Kangzhi Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yi Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Huan Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.
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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: 4.0] [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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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: 2.7] [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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Li H, Ruan Z, Gao F, Zhou H, Guo R, Sun C, Xu Q, Lu Q, Zhou Y, Zhao Z, Yu L, Wu S, Lei T, Gao T, Tang Y, Li C, Huo F, Zhu Y, Sun J, Tang B, Zhang M, Gao Y, Lu X, Li Z, Chang T. Thymectomy and Risk of Generalization in Patients with Ocular Myasthenia Gravis: A Multicenter Retrospective Cohort Study. Neurotherapeutics 2021; 18:2449-2457. [PMID: 34625864 PMCID: PMC8804035 DOI: 10.1007/s13311-021-01129-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2021] [Indexed: 02/05/2023] Open
Abstract
This study aims to investigate the association between thymectomy and the risk of generalization in patients with ocular myasthenia gravis (MG). Data on patients with ocular MG from seven neurological centers in China were retrospectively reviewed. Ocular MG naïve to immunotherapy was categorized according to whether thymectomy was performed (thymectomized group vs. nonsurgical group). Patients in the thymectomized group all underwent surgery within 2 years since ocular symptom onset. The main outcome measure was the generalization. The follow-up period was defined from the date of ocular symptom onset to the date of generalization confirmation, immunotherapy initiation, or last follow-up (defined as 60 months). Of 519 eligible patients (mean [SD] age, 48.7 [15.2] years, 46.6% women), 31 (23.7%) of 131 generalized in the thymectomized group and 122 (31.4%) of 388 did in the nonsurgical group during a median follow-up of 19 months (IQR 8.0-50.0). Thymectomy was independently associated with reduced generalization risk (adjusted HR 0.41, 95% CI 0.25-0.66, P < 0.001). Multivariable stratified analysis also verified this association across the subgroups. Kaplan-Meier curves showed that the 5-year cumulative rate was significantly lower in the thymectomized group than in the nonsurgical group. To conclude, thymectomy may be considered effective in modifying the progression from ocular to generalized MG irrespective of thymoma.
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Affiliation(s)
- Huanhuan Li
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Feng Gao
- Department of Neuroimmunology, Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Rongjing Guo
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Chao Sun
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Quan Xu
- Department of Thoracic Surgery, Jiangxi Provincial People's Hospital Affiliated To Nanchang University, Nanchang, China
| | - Qiang Lu
- Department of Thoracic Surgery, Tangdu Hospital, the Fourth Military Medical University, Xi'an, China
| | - Yongan Zhou
- Department of Thoracic Surgery, Tangdu Hospital, the Fourth Military Medical University, Xi'an, China
| | - Zhengwei Zhao
- Department of Thoracic Surgery, Tangdu Hospital, the Fourth Military Medical University, Xi'an, 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 Hospital, Xi'an, China
| | - Ting Gao
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Yonglan Tang
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Chunhong Li
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Feiyan Huo
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Ying Zhu
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Jie Sun
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Baoli Tang
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Min Zhang
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Yanwu Gao
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Xiaodan Lu
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China
| | - Zhuyi Li
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China.
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, the Fourth Military Medical University, 569 XinSi Road, Xi'an, 710038, China.
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