Relapse of ocular symptoms after remission of myasthenia gravis—a comparison of relapsed and complete remission cases

Wakata, Nobuo; Iguchi, Hiroaki; Sugimoto, Hideki; Nomoto, Nobuatsu; Kurihara, Toshio

doi:10.1016/s0303-8467(02)00104-x

Cited by 15 publications

(17 citation statements)

References 8 publications

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“…Shigeaki Suzuki et al reported that MG patients with anti-Kv1.4 antibodies experienced frequent MG relapses in comparison to those without anti-Kv1.4 antibodies [8]. Nobuo Wakata et al found that thymus hyperplasia occurred more commonly in relapsed cases, and early thymectomy or administration of prednisolone can lead to a reduced relapse rate in MG patients [7]. However, the limitations of these studies were that only GMG patients were included and only reappearance of ocular symptoms was considered as the relapsed symptoms.…”

Section: Discussionmentioning

confidence: 99%

“…About 38% MG patients experienced remission [7]. One study demonstrated that early thymectomy and administration of prednisolone were more frequently seen in the complete remission cases than in the relapsed OMG patients.…”

Section: Introductionmentioning

confidence: 99%

“…One study demonstrated that early thymectomy and administration of prednisolone were more frequently seen in the complete remission cases than in the relapsed OMG patients. [7]. Anti-Kv1.4 antibody is a useful independent factor for predicting MG relapse [8].…”

Section: Introductionmentioning

confidence: 99%

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Clinical predictors for the prognosis of myasthenia gravis

Wang

Zhang

2017

BMC Neurol

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BackgroundClinical predictors for myasthenia gravis relapse and ocular myasthenia gravis secondary generalization during the first two years after disease onset remain incompletely identified. This study attempts to investigate the clinical predictors for the prognosis of Myasthenia Gravis.MethodsEighty three patients with myasthenia gravis were concluded in this study. Baseline characteristics were analyzed as predictors.ResultsRelapse of myasthenia gravis developed in 26 patients (34%). Generalization developed in 34 ocular myasthenia gravis patients (85%). Other autoimmune diseases were observed more commonly in relapsed myasthenia gravis (P = 0.012). Second generalization group contained more late onset patients (P = 0.021). Ocular myasthenia gravis patients with thymus hyperplasia progressed more rapidly than those with other thymus pathology (P = 0.027). Single onset symptom of ocular myasthenia gravis such as ptosis or diplopia predicted early progression than concurrence of ptosis and diplopia (P = 0.027). Treatment effect including glucocorticoid, pyridostigmine, thymectomy, IVIG, immunosuppressive drugs did not show significant difference between the relapsed and non-relapsed groups. The treatment outcome also showed no difference between the single OMG and second generalized groups.ConclusionsOccurrence of associated autoimmune disease can serve as a potential predictor for myasthenia gravis relapse. Either ptosis or diplopia, as well as thymic hyperplasia can predict generalization in the first six months.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Clinical predictors for the prognosis of myasthenia gravis

Wang

Zhang

2017

BMC Neurol

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“…OMG developed to generalized MG (GMG) in about 50–80% patients within the first 1 or 2 years after disease onset and 38% of the MG patients experienced remission during 30 years of observation. [ 2 3 ] Early thymectomy and administration of prednisolone can decrease relapse and secondary generalization of OMG. Late age of onset, anti-AChR-Ab, and thymoma increased the risk of secondary generalization.…”

Section: Introductionmentioning

confidence: 99%

Clinical Features and Prognosis of Ocular Myasthenia Gravis Patients with Different Phenotypes

Wang

Zhang

2015

Chinese Medical Journal

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“…In some centers, such as our center, some of the patients with MG exacerbation are treated with high doses of intravenous corticosteroids. However, approximately 38% of MG patients experience remission, and 10% of them are refractory to the conventional rescue therapy that requires prolonged hospitalization, which is the major cause of morbidity [ 8 ]. Many studies have evaluated the predictors of prognosis in patients with MG.…”

Section: Introductionmentioning

confidence: 99%

Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms

Chang

Yeh

Chen

et al. 2021

JCM

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Myasthenia gravis (MG) is an autoimmune disorder that causes muscle weakness. Although the management is well established, some patients are refractory and require prolonged hospitalization. Our study is aimed to identify the important factors that predict the duration of hospitalization in patients with MG by using machine learning methods. A total of 21 factors were chosen for machine learning analyses. We retrospectively reviewed the data of patients with MG who were admitted to hospital. Five machine learning methods, including stochastic gradient boosting (SGB), least absolute shrinkage and selection operator (Lasso), ridge regression (Ridge), eXtreme gradient boosting (XGboost), and gradient boosting with categorical features support (Catboost), were used to construct models for identify the important factors affecting the duration of hospital stay. A total of 232 data points of 204 hospitalized MG patients admitted were enrolled into the study. The MGFA classification, treatment of high-dose intravenous corticosteroid, age at admission, treatment with intravenous immunoglobulins, and thymoma were the top five significant variables affecting prolonged hospitalization. Our findings from machine learning will provide physicians with information to evaluate the potential risk of MG patients having prolonged hospital stay. The use of high-dose corticosteroids is associated with prolonged hospital stay and to be used cautiously in MG patients.

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Relapse of ocular symptoms after remission of myasthenia gravis—a comparison of relapsed and complete remission cases

Cited by 15 publications

References 8 publications

Clinical predictors for the prognosis of myasthenia gravis

Clinical predictors for the prognosis of myasthenia gravis

Clinical Features and Prognosis of Ocular Myasthenia Gravis Patients with Different Phenotypes

Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms

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