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Insights into the Classification of Myasthenia Gravis
BACKGROUND AND PURPOSE: Myasthenia gravis (MG) is often categorized into thymoma-associated MG, early-onset MG with onset age <50 years, and late-onset MG with onset age ≥50 years. However, the boundary age of 50 years old between early- and late-onset MG remains controversial, and each category...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156422/ https://www.ncbi.nlm.nih.gov/pubmed/25192469 http://dx.doi.org/10.1371/journal.pone.0106757 |
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author | Akaishi, Tetsuya Yamaguchi, Takuhiro Suzuki, Yasushi Nagane, Yuriko Suzuki, Shigeaki Murai, Hiroyuki Imai, Tomihiro Motomura, Masakatsu Fujihara, Kazuo Aoki, Masashi Utsugisawa, Kimiaki |
author_facet | Akaishi, Tetsuya Yamaguchi, Takuhiro Suzuki, Yasushi Nagane, Yuriko Suzuki, Shigeaki Murai, Hiroyuki Imai, Tomihiro Motomura, Masakatsu Fujihara, Kazuo Aoki, Masashi Utsugisawa, Kimiaki |
author_sort | Akaishi, Tetsuya |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Myasthenia gravis (MG) is often categorized into thymoma-associated MG, early-onset MG with onset age <50 years, and late-onset MG with onset age ≥50 years. However, the boundary age of 50 years old between early- and late-onset MG remains controversial, and each category contains further subtypes. We attempted to classify MG from a statistical perspective. METHODS: We analyzed 640 consecutive MG patients using two-step cluster analysis with clinical variables and discrimination analysis, using onset age as a variable. RESULTS: Two-step cluster analyses categorized MG patients into the following five subtypes: ocular MG; MG with thymic hyperplasia (THMG); generalized anti-acetylcholine receptor antibody (AChR-Ab)-negative MG; thymoma-associated MG; and generalized AChR-Ab-positive (SP) MG without thymic abnormalities. Among these 5 subtypes, THMG showed a distribution of onset age skewed toward a younger age (p<0.01), whereas ocular MG and SPMG without thymic abnormalities showed onset age skewed toward an older age (p<0.001 and p<0.0001, respectively). The other 2 subtypes showed normal distributions. THMG appeared as the main component of early-onset MG, and ocular MG and SPMG without thymic abnormalities as the main components of late-onset MG. Discrimination analyses between THMG and ocular MG and/or SPMG without thymic abnormalities demonstrated a boundary age of 45 years old. CONCLUSIONS: From a statistical perspective, the boundary age between early- and late-onset MG is about 45 years old. |
format | Online Article Text |
id | pubmed-4156422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41564222014-09-09 Insights into the Classification of Myasthenia Gravis Akaishi, Tetsuya Yamaguchi, Takuhiro Suzuki, Yasushi Nagane, Yuriko Suzuki, Shigeaki Murai, Hiroyuki Imai, Tomihiro Motomura, Masakatsu Fujihara, Kazuo Aoki, Masashi Utsugisawa, Kimiaki PLoS One Research Article BACKGROUND AND PURPOSE: Myasthenia gravis (MG) is often categorized into thymoma-associated MG, early-onset MG with onset age <50 years, and late-onset MG with onset age ≥50 years. However, the boundary age of 50 years old between early- and late-onset MG remains controversial, and each category contains further subtypes. We attempted to classify MG from a statistical perspective. METHODS: We analyzed 640 consecutive MG patients using two-step cluster analysis with clinical variables and discrimination analysis, using onset age as a variable. RESULTS: Two-step cluster analyses categorized MG patients into the following five subtypes: ocular MG; MG with thymic hyperplasia (THMG); generalized anti-acetylcholine receptor antibody (AChR-Ab)-negative MG; thymoma-associated MG; and generalized AChR-Ab-positive (SP) MG without thymic abnormalities. Among these 5 subtypes, THMG showed a distribution of onset age skewed toward a younger age (p<0.01), whereas ocular MG and SPMG without thymic abnormalities showed onset age skewed toward an older age (p<0.001 and p<0.0001, respectively). The other 2 subtypes showed normal distributions. THMG appeared as the main component of early-onset MG, and ocular MG and SPMG without thymic abnormalities as the main components of late-onset MG. Discrimination analyses between THMG and ocular MG and/or SPMG without thymic abnormalities demonstrated a boundary age of 45 years old. CONCLUSIONS: From a statistical perspective, the boundary age between early- and late-onset MG is about 45 years old. Public Library of Science 2014-09-05 /pmc/articles/PMC4156422/ /pubmed/25192469 http://dx.doi.org/10.1371/journal.pone.0106757 Text en © 2014 Akaishi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Akaishi, Tetsuya Yamaguchi, Takuhiro Suzuki, Yasushi Nagane, Yuriko Suzuki, Shigeaki Murai, Hiroyuki Imai, Tomihiro Motomura, Masakatsu Fujihara, Kazuo Aoki, Masashi Utsugisawa, Kimiaki Insights into the Classification of Myasthenia Gravis |
title | Insights into the Classification of Myasthenia Gravis |
title_full | Insights into the Classification of Myasthenia Gravis |
title_fullStr | Insights into the Classification of Myasthenia Gravis |
title_full_unstemmed | Insights into the Classification of Myasthenia Gravis |
title_short | Insights into the Classification of Myasthenia Gravis |
title_sort | insights into the classification of myasthenia gravis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156422/ https://www.ncbi.nlm.nih.gov/pubmed/25192469 http://dx.doi.org/10.1371/journal.pone.0106757 |
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