医学
美罗华
重症肌无力
中止
不利影响
内科学
恶化
耐火材料(行星科学)
胃肠病学
天体生物学
物理
淋巴瘤
作者
Sumanth Shivaram,Madhu Nagappa,Nibu Varghese,Doniparthi V. Seshagiri,Shishir Duble,Shreedhara Anjanapura Siddappa,Nagabushan Hesarur,Sanjib Sinha,Arun B. Taly
出处
期刊:Neurology India
[Medknow Publications]
日期:2022-01-01
卷期号:70 (5): 1931-1931
被引量:1
标识
DOI:10.4103/0028-3886.359277
摘要
Myasthenia gravis (MG) is an immune-mediated disorder of the neuromuscular junction. About 10% are refractory to immunosuppressive therapy.To analyze the response of patients with generalized MG to rituximab.A retrospective review of patients with MG who received rituximab was carried out (n = 13, M:F = 6:7, mean age: 44.84 ± 15.73 years). Myasthenia Gravis Foundation of America (MGFA), MGFA post-intervention status (MGFA-PIS), and Myasthenia Gravis Status and Treatment Intensity (MGSTI) were assessed before and after rituximab.The duration of MG was 104.07 ± 92.25 months. Before rituximab, the MGFA was IIA/IIB/IIIA/IIIB/IVB/V in 1/1/2/6/2/1 patients and MGSTI was four in eight patients and six in three patients. The mean duration of follow up was 20.92 ± 14.06 months (range, 4 to 42 months). Dose reduction or discontinuation of cholinesterase inhibitors could be achieved 12 patients. Complete stable remission (CSR) and pharmacologic remission (PR) were achieved in one and four patients respectively and five patients had minimal manifestations. Most patients attained level 0, 1 or 2 MGSTI at last follow up. No rituximab infusion-related adverse events were noted. Three patients had exacerbation of MG between one to five weeks after rituximab administration. Three patients died, one each due to a cardiac event unrelated to MG or treatment, complications related to myasthenic crisis, and coronavirus disease.Rituximab was effective in bringing about remission in MG and can be considered as a first-line agent. However, it has to be administered under close supervision as some patients develop exacerbation of MG akin to steroid-induced worsening.
科研通智能强力驱动
Strongly Powered by AbleSci AI