Background: Anxiety and depression are common in Parkinson disease and both are important determinants of quality of life in patients. Several risk factors are identified but few research have investigated general and Parkinson's disease (PD)-specific factors comprehensively. The aim of this work was to explore PD-specific and -non-specific risk factors for PD with depression or anxiety. Methods: A cross-sectional survey was performed in 403 patients with PD. Multivariate logistic analysis was used to investigate the prevalence and risk factors for the depression and anxiety in PD. The data of patients included demographic information, medicine history, disease duration, age at onset (AAO), family history, anti-parkinsonism drug, modified Hoehn and Yahr staging (H-Y) stage, scales of motor and non-motor symptoms and substantia nigra (SN) echogenic areas. Results: 403 PD patients were recruited in the study. Depression and anxiety were present in 11.17% and 25.81% respectively. Marital status, tumor, higher Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) II score, dyskinesia, higher Hamilton Anxiety Rating Scale (HARS) score and lower the Parkinson's disease sleep scale (PDSS) score were associated with depression in PD. female gender, higher rapid eye movement behavior disorder Questionnaire-Hong Kong (RBD-HK) score, higher Hamilton Deprssion Rating Scale (HAMD) score, higher the scale for outcomes in PD for autonomic symptoms (SCOPA-AUT)score and larger SN echogenic areas were associated with anxiety. Neither depression nor anxiety was related to any anti-parkinsonism drugs. Conclusions: The prevalence of depression and anxiety in the current PD patients was 11.17% and 25.81% respectively. Disease of tumor, currently having no partner, severer motor function, dyskinesia, poorer sleep quality and anxiety were risk factors for PD with depression. Female, depression, rapid eye movement behavior disorder (RBD), autonomic dysfunction and larger SN area were risk factors for PD with anxiety.
ObjectivesMultiple system atrophy (MSA) is a progressive neurodegenerative disorder that causes early sustained disability and poor health‐related quality of life (HrQoL). The clinical features and their effects on the HrQoL of patients in China have received little attention in the research literature. We evaluated the clinical characteristics and HrQoL of Chinese patients with MSA.Materials and MethodsA total of 143 patients with MSA from the Department of Neurology, Shanghai Ruijin Hospital, were enrolled in the study from March 2014 to May 2017. Basic demographic data, motor symptoms, non‐motor symptoms, and HrQoL were assessed and compared with data from 198 patients with idiopathic Parkinson's disease (PD) who were matched by age, gender, and disease duration. Factors influencing the HrQoL of MSA patients were also analyzed.ResultsThe ratio of patients with predominant parkinsonism (MSA‐P) and prominent cerebellar ataxia (MSA‐C) was 95:48 among the 143 MSA patients. MSA‐P patients had a longer disease duration (p = 0.002), higher levodopa equivalent daily dose (p < 0.001), higher scores on the Unified Multiple System Atrophy Rating Scale (UMSARS) I (p = 0.026), UMSARS II (p < 0.001), UMSARS IV (p = 0.019), the Hamilton Rating Scale for Depression (p = 0.001), the Hamilton Anxiety Scale (p = 0.013), and lower scores on measures of olfaction (p = 0.021) and cognitive function (p = 0.044) than the MSA‐C patients. Stepwise regression analysis showed that depression, anxiety, degree of disability, and disease severity were independent predictors of decreased HrQoL.ConclusionsThe results indicate that MSA‐P patients have more severe motor impairment, hyposmia, depression, anxiety, cognitive impairment, and lower HrQoL than MSA‐C patients. Depression, anxiety, degree of disability, and disease severity are predictors of poor HrQoL among Chinese patients with MSA.
Objective Lymphocyte activation gene‐3 (LAG‐3) could mediate pathological α‐synuclein transmission in neurodegeneration and may be involved in the pathogenesis of Parkinson's disease (PD). The aim of the present study was to explore soluble LAG‐3 (sLAG‐3) as a potential diagnostic biomarker for PD. Methods Serum sLAG‐3 concentrations were measured by a quantitative ELISA for patients with PD, essential tremor (ET) and age‐ and sex‐matched controls. The relationships between sLAG‐3 and clinical phenotype were assessed via correlation analysis and logistic regression. Results Serum sLAG‐3 levels in patients with PD were significantly higher than those in ET patients and age‐ and sex‐matched controls. The area under the curve of serum sLAG‐3 in differentiating PD from age‐ and sex‐matched controls was 0.82. Serum sLAG‐3 was associated with non‐motor symptoms and excessive daytime sleep. Conclusion sLAG‐3 is a candidate novel biomarker for PD. © 2018 International Parkinson and Movement Disorder Society
ObjectivesNightmares were related to emotion and behavioral problems and also emerged as one of the core features of post-traumatic stress disorder (PTSD). Our study aimed to investigate the associations of frequent nightmares with sleep duration and sleep efficiency among frontline medical workers in Wuhan during the coronavirus disease 2019 (COVID-19) outbreak.MethodsA total of 528 health-care workers from the province of Fujian providing medical aid in Wuhan completed the online questionnaires. There were 114 doctors and 414 nurses. The age, sex, marital status, and work situation were recorded. A battery of scales including the Pittsburgh Sleep Quality Index (PSQI) and the 12-item General Health Questionnaire (GHQ-12) were used to evaluate subjects’ sleep and general mental health. Frequent nightmares were defined as the response of at least once a week in the item of “nightmare” of PSQI.ResultsFrequent nightmares were found in 27.3% of subjects. The frequent nightmare group had a higher score of PSQI-sleep duration and PSQI-habitual sleep efficiency (frequent nightmares vs. non-frequent nightmares: PSQI-sleep duration, 1.08 ± 0.97 vs. 0.74 ± 0.85, P < 0.001; PSQI-habitual sleep efficiency, 1.08 ± 1.10 vs. 0.62 ± 0.88, P < 0.001). Reduced sleep duration and reduced sleep efficiency were independently associated with frequent nightmares after adjustment for age, sex, poor mental health, and regular sleeping medication use (reduced sleep duration: OR = 1.96, 95% CI = 1.07–3.58, P = 0.029; reduced sleep efficiency: OR = 2.17, 95% CI = 1.09–4.32, P = 0.027). Subjects with both reduced sleep duration and sleep efficiency were also associated with frequent nightmares (OR = 2.70, 95% CI = 1.57–4.65, P < 0.001).ConclusionThe present study found that sleep duration and sleep efficiency were both independently associated with frequent nightmares among frontline medical workers in Wuhan during the COVID-19 pandemic. We should pay attention to nightmares and even the ensuing PTSD symptoms among subjects with reduced sleep duration or sleep efficiency facing potential traumatic exposure.
Background and Objective: To explore the alterations of microbial 16s ribosomal (rRNA) gene in the feces and blood of Chinese patients with multiple system atrophy (MSA) and its relationships with clinical features. Methods: 40 MSA patients (MSA-P/MSA-C: 23/17) and their healthy spouses were recruited. Fecal and blood microbiota were investigated by high-throughput IllUmina Miseq sequencing targeted on the V3-V4 functional region of 16s rRNA gene. The relationships between microbiota and clinical characteristics were analyzed. Results: The abundances of Lactobacillus, Gordonibacter, Phascolarctobacterium, and Haemophilus in feces and abundances of Leucobacter, and Bacteroides in blood were different between MSA patients and healthy controls (HC). Combining the taxa from feces and blood, six genera were identified to be predictive of MSA, achieving an area under the curve (AUC) of 0.853. The abundances of Phascolarctobacterium and Ruminococcus in feces were lower in MSA-P than those in MSA-C. The abundances of Blastococcus, Bacillus, and Acinetobacter in blood were different between MSA subtypes. These five genera differentiated MSA subtypes with an AUC of 0.898. Functional predictions indicated that gene functions involving biosynthetic metabolism and bacterial secretion systems were significantly different between the MSA and HC. The differential genera were associated with disease duration, anxiety, and autonomic dysfunctions. Conclusions:We confirmed the alterations of microbial 16s rRNA gene in the feces and blood occurs in Chinese patients with MSA. Microbiota dysbiosis was related to MSA clinical manifestations. Elucidating these differences in microbiomes will be helpful to improve our knowledge of the microbiota in the pathogenesis of MSA.
Study Objectives: The applicability of sleep-related scales to frontline medical staff for the COVID-19 pandemic has not been fully proved, so sleep survey results lack credibility and accuracy, creating difficulties for the guidance and treatment of frontline medical staff with sleep disorders, which is not conducive to the prevention and control of COVID-19. This study sought to analyze the reliability and validity of the Pittsburgh Sleep Quality Index (PSQI) among frontline medical staff fighting the COVID-19 pandemic. Methods: A network questionnaire survey was used to investigate the PSQI among frontline medical staff who fought COVID-19 in Wuhan, China from March 19 to April 15, 2020. Combined with classical test theory and item response theory, the content validity, internal consistency, construct validity, and other aspects of the PSQI were evaluated. Results: According to classical test theory, content validity, criterion validity, and construct validity of the PSQI were good. But the internal consistency was better after the deletion of the "daytime dysfunction" subscale. With regard to item response theory, difficulty, the differential item function, and the Wright map performed well. Conclusions: The original PSQI showed acceptable applicability in frontline COVID-19 medical staff, and its characteristics moderately improved after the "daytime dysfunction" subscale was removed.
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