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DOI 10.1371/journal.pone.0106757

Медицинская библиотека · PloS one · 2014

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

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

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.

Для цитирования: 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.. PloS one. 2014. DOI: 10.1371/journal.pone.0106757.

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