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Extra-Cerebellar Signs and Non-motor Features in Chinese Patients With Spinocerebellar Ataxia Type 3

机译:中国3型脊髓小脑共济失调患者的小脑外体征和非运动功能

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Objectives: Our study attempted to systematically explore the prevalence of extra-cerebellar signs and non-motor symptoms, such as anxiety, depression, fatigue, excessive daytime sleepiness (EDS) and sleep disturbances in a cohort of Chinese patients with spinocerebellar ataxia type 3 (SCA3), and further investigated the correlations between non-motor symptoms and clinical characteristics in SCA3 patients. Methods: This study included 68 molecular-proven SCA3 patients. Extra-cerebellar signs were evaluated with the Inventory of Non-Ataxia Symptoms (INAS). The INAS count indicated the number of non-ataxia signs in each patient. The severity of ataxia, fatigue, EDS, sleep quality, anxiety, and depression were assessed using the Scale for the assessment and rating of ataxia (SARA), Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Rating Scale (HAMA), and the Hamilton Depression Rating Scale (HAMD) (24 items), respectively. Results: Extra-cerebellar signs were detected in 91.2% of all SCA3 patients and the mean total INAS count was 2.72 ± 1.88. Rigidity was the most frequent extra-cerebellar sign (47.1%, N = 32). Sensory symptoms (2.9%, N = 2) and chorea (5.9%, N = 4) were rare, and myoclonus (0%) was not found in this cohort. High frequencies of sleep disturbances (64.7%), fatigue (52.9%), depression (48.5%), and anxiety (42.6%) were detected in SCA3 patients. The Spearman correlation indicated that the HAMD score was associated with the CAG repeat length and HAMA score, while the PSQI score was correlated with the SARA and FSS score. In addition, multivariate linear regression analysis showed that the CAG repeat length, age of onset, sleep disturbances and depression were significant predictors of fatigue in SCA3 patients. Conclusions: Our study indicates that the vast majority of SCA3 patients display extra-cerebellar signs. Except for EDS, anxiety, depression, fatigue and impaired sleep quality are present in SCA3 patients. The CAG repeat length, age of onset, sleep disturbances and depression are predictors of fatigue in SCA3 patients.
机译:目的:我们的研究试图系统地探讨一组中国3型脊髓小脑共济失调患者的小脑前体征和非运动症状的患病率,例如焦虑,抑郁,疲劳,日间过度嗜睡(EDS)和睡眠障碍SCA3),并进一步调查了SCA3患者的非运动症状与临床特征之间的相关性。方法:本研究纳入了68位经过分子验证的SCA3患者。小脑外体征用非共济失调症状量表(INAS)进行评估。 INAS计数表明每位患者的非共济失调迹象的数量。共济失调,疲劳,EDS,睡眠质量,焦虑和抑郁的严重程度使用共济失调(SARA),疲劳严重程度量表(FSS),Epworth嗜睡量表(ESS),匹兹堡睡眠质量指数进行评估和评定(PSQI),汉密尔顿焦虑量表(HAMA)和汉密尔顿抑郁量表(HAMD)(24个项目)。结果:在所有SCA3患者中,有91.2%检测到小脑外体征,平均INAS总计数为2.72±1.88。刚度是最常见的小脑前体征(47.1%,N = 32)。极少见到感官症状(2.9%,N = 2)和舞蹈病(5.9%,N = 4),在该队列中未发现肌阵挛(0%)。在SCA3患者中检测到高频率的睡眠障碍(64.7%),疲劳(52.9%),抑郁(48.5%)和焦虑症(42.6%)。 Spearman相关性表明,HAMD得分与CAG重复长度和HAMA得分相关,而PSQI得分与SARA和FSS得分相关。此外,多元线性回归分析表明,CAG重复长度,发病年龄,睡眠障碍和抑郁是SCA3患者疲劳的重要预测指标。结论:我们的研究表明,绝大多数SCA3患者表现出小脑外体征。除EDS以外,SCA3患者还存在焦虑,抑郁,疲劳和睡眠质量受损的情况。 CAG重复长度,发病年龄,睡眠障碍和抑郁是SCA3患者疲劳的预测指标。

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