Two-step nationwide epidemiological survey of myasthenia gravis in Japan 2018.

Hiroaki YoshikawaYumi AdachiYosikazu NakamuraNagato KuriyamaHiroyuki MuraiYoshiko NomuraYasunari SakaiKazuo IwasaYutaka FurukawaSatoshi KuwabaraMakoto Matsuinull null

Published in: PloS one (2022)

Our result revealed that the prevalence of Japanese MG doubled from the previous study using the same survey method in 2006. We also found that the onset age shifted to the elderly, and the male-female ratio reached almost even. Classification in four categories; AChRAb(+)Tm(-), AChRAb(+)Tm(+), MuSKAb(+), and DN, well describe the specific clinical features of each category and differences in therapeutic approaches.

Keyphrases

myasthenia gravis
cross sectional
machine learning
deep learning
risk factors
middle aged