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Introduction: We sought to translate, cross-culturally adapt, and evaluate the internal consistency and validity of the Chinese version of the 15-Item Myasthenia Gravis Quality of Life (MG-QOL15)., Methods: Translation and cross-cultural adaptation of the MG-QOL15 were performed. We used Cronbach's α to test internal consistency, one-way analysis of variance to test construct validity, and Pearson or Spearman correlations to test discriminant and concurrent validity., Results: We enrolled 168 outpatients. Internal consistency was excellent (Cronbach's α = 0.928). The MG-QOL15 discriminated MG severity as stratified by the MG Composite (MGC; P < 0.001) and Osserman class (P = 0.01). Concurrent validity was low to moderate with the subscales of the 36-item Short Form (-0.31 to ∼-0.59), MGC (r = 0.46), and Myasthenia Gravis Activities of Daily Living profile (r = 0.54)., Discussion: The Chinese MG-QOL15 showed comparable construct, discriminant and concurrent validity, and internal consistency with to the original version. Muscle Nerve 59:95-99, 2019., (© 2018 Wiley Periodicals, Inc.)

Aims Neuromyelitis optica spectrum disorder (NMOSD) is associated with reduced health-related quality of life (HRQOL). This study aimed to investigate factors that impact HRQOL in NMOSD. Methods A series of questionnaires were completed by 73 patients to assess the relationships between HRQOL and fatigue, depression, anxiety and sleep disorder. We also evaluated the contributions of clinical characteristics to HRQOL. Correlation and regression analysis were conducted to identify factors that negatively impact HRQOL in NMOSD. Results Pearson's correlation analysis showed that reduced HRQOL was strongly correlated with anxiety (r = − 0.77, P = 0.000), fatigue (r = − 0.75, P = 0.000) and depression (r = − 0.73, P = 0.000); and moderately correlated with disability (r = − 0.53, P = 0.000) and sleep disorder (r = − 0.59, P = 0.000). Stepwise regression analysis further revealed that anxiety was the best predictor of both the global and physical composite scores of HRQOL, followed by disability, fatigue and depression (global composite, r 2 = 0.76, P = 0.000; physical composite, r 2 = 0.71, P = 0.000). Depression, fatigue and anxiety were the main predictors of the mental health composite score of HRQOL (r 2 = 0.69, P = 0.000). Other factors did not have an effect on HRQOL. Conclusions This study revealed factors that impact HRQOL in NMOSD and provided the first demonstration that anxiety, disability, fatigue and depression are independent predictors of poor HRQOL in NMOSD. [ABSTRACT FROM AUTHOR]