SHIMIZU Yuko
   Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine
   Position   Professor
Article types Original article
Language English
Peer review Peer reviewed
Title Correlation of the symbol digit modalities test with the quality of life and depression in Japanese patients with multiple sclerosis
Journal Formal name:Multiple sclerosis and related disorders
Abbreviation:Mult Scler Relat Disord
ISSN code:22110356/22110348
Domestic / ForeginForegin
Volume, Issue, Page 57,pp.103427
Author and coauthor Niino Masaaki†*, Fukumoto Shoko, Okuno Tatsusada, Sanjo Nobuo, Fukaura Hikoaki, Mori Masahiro, Ohashi Takashi, Takeuchi Hideyuki, Shimizu Yuko, Fujimori Juichi, Kawachi Izumi, Kira Jun-Ichi, Takahashi Eri, Miyazaki Yusei, Mifune Nobuhiro
Publication date 2021/11
Summary BACKGROUND:This study aimed to evaluate the association between cognitive impairment and health-related quality of life (HRQOL), fatigue, and depression in Japanese patients with multiple sclerosis (MS).METHODS:The Brief International Cognitive Assessment for MS (BICAMS) was performed in 184 Japanese patients with MS. The Functional Assessment of MS (FAMS), Fatigue Severity Scale (FSS), and Beck Depression Inventory-Second Edition (BDI-II) were used to evaluate HRQOL, fatigue, and depression, respectively.RESULTS:Multiple linear regression analysis demonstrated positive correlations of the Symbol Digit Modalities Test (SDMT) with the scores on the FAMS subscales of mobility, symptoms, emotional well-being, and additional concerns and with the total FAMS score even after controlling for the Expanded Disability Status Scale score, age at examination, and duration of education. The SDMT score in the BICAMS battery had negative correlations with the BDI-II score, as revealed by multiple linear regression analysis. None of the three tests in the BICAMS had any correlation with the FSS score.CONCLUSION:The SDMT has a significant relationship with HRQOL and depression in Japanese patients with MS.
DOI 10.1016/j.msard.2021.103427
PMID 34861614