Results of the evaluation of autonomic function between PD and MSA-P patients using the COMPASS 31 and objective autonomic function test.

<p>Results of the evaluation of autonomic function between PD and MSA-P patients using the COMPASS 31 and objective autonomic function test.</p

Demographic and clinical characteristics of enrolled subjects with PD and MSA-P.

<p>Demographic and clinical characteristics of enrolled subjects with PD and MSA-P.</p

ROC curve for COMPASS 31 total score diagnostic performance.

<p>With 13.25 as the cut-off score for differential diagnosis of MSA-P from PD, the total COMPASS 31 score demonstrated high sensitivity (92.6%) and moderate specificity (51.2%) with an area under the curve of 0.765. ROC, receiver operating characteristic; COMPASS 31, composite autonomic symptom scale 31 questionnaire; MSA-P, multiple system atrophy with predominant parkinsonism; PD, Parkinson’s disease.</p

Fatigue in patients with neuromyelitis optica spectrum disorder and its impact on quality of life

<div><p>Fatigue is a prevalent symptom and major burden in neuroimmunological diseases. In neuromyelitis optica spectrum disorder (NMOSD), a severe autoimmune central nervous system (CNS) inflammatory disease with autoantibodies reactive to aquaporin-4, there are few reports about fatigue and quality of life (QOL). We aimed to evaluate the severity of fatigue and its relationship with QOL in patients with NMOSD. We prospectively studied patients with NMOSD who were in remission and seropositive for anti-aquaporin-4 antibody, and they were divided into 2 groups based on the presence of fatigue assessed using the Functional Assessment of Chronic Illness Therapy-fatigue score. Sleep quality, depression, pain, and QOL were also evaluated. A total of 35 patients were enrolled (mean age, 46.5 ± 14.1 years; female: male = 29:6), and the median Expanded Disability Status Scale (EDSS) score was 2.0 (range, 0 to 8.0). The patients with fatigue (N = 25, 71.4%) had poorer sleep quality and more severe depression than those without fatigue (p = 0.009 and p = 0.001). Both the physical and mental QOL scores were lower in patients with fatigue than in those without fatigue (p = 0.033 and p = 0.004). Multiple linear regression analyses showed that the degree of fatigue with EDSS score and pain were independent predictors of physical aspects of QOL (B = 0.382, p = 0.001), whereas depression was the only predictor of the mental components of QOL (B = -0.845, p = <0.001). Fatigue is a common symptom and an important predictor of QOL in patients with NMOSD.</p></div

The differences in sleep quality, depression, pain severity, and quality of life scores in patients with NMOSD based on the presence of fatigue.

<p>PSQI, BDI, and BPI scores were higher in patients with NMSOD and fatigue than in those without fatigue. Moreover, the physical and mental component scores of quality of life assessed by SF-36 were lower in patients with NMSOD and fatigue. PSQI, Pittsburgh Sleep Quality Index; BDI, Beck Depression Inventory; BPI, Brief Pain Inventory; SF-36, Short-Form 36 Health Survey.</p

Fatigue, sleep, depression, pain, and health-related quality of life in patients with NMOSD between fatigue groups.

<p>Fatigue, sleep, depression, pain, and health-related quality of life in patients with NMOSD between fatigue groups.</p

Scatter plots of correlations among PSQI, BDI, the physical and mental component scores of SF-36, and FACIT-fatigue.

<p>There were negative correlations among PSQI score, BDI score, and FACIT-fatigue score. Furthermore, the physical and mental component scores of SF-36 were positively correlated with FACIT-fatigue score. PSQI, Pittsburgh Sleep Quality Index; BDI, Beck Depression Inventory; FACIT-fatigue, Functional Assessment of Chronic Illness Therapy-fatigue; SF-36, Short-Form 36 Health Survey.</p

Clinical characteristics of patients with NMOSD based on the presence of fatigue.

<p>Clinical characteristics of patients with NMOSD based on the presence of fatigue.</p

Multiple linear regression analysis of factors affecting quality of life in patients with NMOSD.

<p>Multiple linear regression analysis of factors affecting quality of life in patients with NMOSD.</p