Evidence map›Paper›PMID 40361182›Full record

ArticleVirology journal2025

The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study.

Yanzhen Huang, Yu Wu, Shaodan Zhou, Xianting Que, Ailing Jiang, Danli Shi, Ting Lu, Yanlan Chen, Ziqun Lin, Chao Liu and 3 more

Abstract read
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yanzhen HuangDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Yu WuUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Shaodan ZhouDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Xianting QueDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Ailing JiangDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Danli ShiDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Ting LuDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Yanlan ChenDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Ziqun LinDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Chao LiuDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Yishuang WenDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Shuyi ZhangDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Wen HuangDepartment of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi, China. hwen1229@163.com.

Funding

National Natural Science Foundation of China 82060236Natural Science Foundation of Guangxi Province 2023GXNSFAA026247
6 · The paper itself

Abstract

backgroundLittle research has been conducted on new-onset myasthenia gravis (MG) patients following the coronavirus disease 2019 (COVID-19) pandemic. COVID-19 surged in China on December 7th, 2022. This study aimed to explore the clinical characteristics of new-onset MG patients after COVID-19 and analyze factors affecting their disease improvement.

methodsAll new-onset MG patients before (December 1st, 2021 to December 7th, 2022) and after COVID-19 outbreak (December 8th, 2022 to November 30th, 2023) were included in this study. Data was collected through the electronic medical record system and follow-up. Multivariate logistic regression was used to identify independent predictors of clinical improvement in patients with new-onset MG.

results359 new-onset MG patients (165 before COVID-19 outbreak and 194 after COVID-19 outbreak) were enrolled in this study. After COVID-19 outbreak, there was an increase in new-onset MG patients, with more cases occurring within the first three months. The rates of pulmonary inflammation (40.28%), COVID-19 vaccination (88.14%), and treatment with tacrolimus (15.98%) and MG duration (15 weeks, IQR: 5.75, 32) were higher, while rates of thymectomy (13.92%), baseline MG-ADL (3, IQR: 3, 6), and QMGS (7, IQR: 5,8) were lower compared to new-onset MG patients before COVID-19 outbreak. Multivariate logistic regression analysis showed that age at onset (OR 0.964, p < 0.001), baseline MG-ADL (OR 1.611, p < 0.001), and ocular MG (OR 0.401, p = 0.041) were independent predictors of clinical improvement in new-onset MG after the COVID-19 outbreak.

conclusionIn this single-center cross-sectional study, new-onset MG patients following the COVID-19 outbreak showed altered seasonal onset patterns, milder disease severity, and higher OMG onset age. Age at onset is an independently negative predictor of improvement in new-onset MG patients after the COVID-19 outbreak. Whereas baseline MG-ADL is an independently positive predictor.

Indexed as

COVID-19Myasthenia GravisAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSARS-CoV-2Clinical characteristicsClinical improvementCOVID-19Myasthenia gravisNew-onset

Identifiers

PMID40361182
PMCPMC12070696

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.