Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study
Autonomic dysfunction (AutD) is one of the non-motor symptoms (NMSs) in Parkinson’s disease (PD). To investigate the prevalence and clinical features of AutD in Chinese patients with PD, a large multicenter cohort of 2,556 individuals with PD were consecutively involved in the Parkinson’s Disease an...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:0bab27da27f04bbe9ffd0bbd3ce5d5112021-12-01T20:08:02ZCharacteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study1663-436510.3389/fnagi.2021.761044https://doaj.org/article/0bab27da27f04bbe9ffd0bbd3ce5d5112021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnagi.2021.761044/fullhttps://doaj.org/toc/1663-4365Autonomic dysfunction (AutD) is one of the non-motor symptoms (NMSs) in Parkinson’s disease (PD). To investigate the prevalence and clinical features of AutD in Chinese patients with PD, a large multicenter cohort of 2,556 individuals with PD were consecutively involved in the Parkinson’s Disease and Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC) between January 1, 2017, and December 31, 2019. The assessment of AutD was performed using the Scale for Outcomes in Parkinson’s Disease for Autonomic Symptoms (SCOPA-AUT). The evaluation of motor symptoms and other NMSs were performed using well-established scales recommended by the Movement Disorder Society. We found that out of 2,556 patients with PD, 2,333 patients with PD (91.28%) had AutD. Compared with the group of patients with PD without AutD, the group of patients with PD with AutD had older age, older age of onset, longer disease duration, more severe motor symptoms, motor complications, and more frequent NMSs. As for partial correlation analysis, the total SCOPA-AUT score was significantly and positively associated with motor severity scales [Unified Parkinson’s Disease Rating Scale (UPDRS) total score] and some of the NMSs [Rapid Eye Movement Sleep Behavior Disorder Questionnaire (RBD), Epworth Sleepiness Scale, Hamilton Depression Scale], Fatigue Severity Scale, and Parkinson’s disease questionnaire. PD Sleep Scale was significantly and negatively correlated with AutD. With logistic regression analysis for potentially related factors, age, UPDRS total score, RBD, hyposmia, depression, and fatigue may be associated with PD with AutD. In conclusion, our multicenter cohort study reported the high prevalence of AutD in Chinese PD and revealed the associated factors of PD with AutD.Zhou ZhouZhou ZhouXiaoting ZhouXiaoxia ZhouYaqin XiangLiping ZhuLixia QinYige WangHongxu PanYuwen ZhaoQiying SunQiying SunQian XuQian XuXinyin WuXinxiang YanXinxiang YanJifeng GuoJifeng GuoBeisha TangBeisha TangBeisha TangBeisha TangBeisha TangZhenhua LiuZhenhua LiuZhenhua LiuFrontiers Media S.A.articleParkinson’s diseasenon-motor symptomsautonomic dysfunctionSCOPA-AUTPD-MDCNCNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Aging Neuroscience, Vol 13 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Parkinson’s disease non-motor symptoms autonomic dysfunction SCOPA-AUT PD-MDCNC Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
| spellingShingle |
Parkinson’s disease non-motor symptoms autonomic dysfunction SCOPA-AUT PD-MDCNC Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Zhou Zhou Zhou Zhou Xiaoting Zhou Xiaoxia Zhou Yaqin Xiang Liping Zhu Lixia Qin Yige Wang Hongxu Pan Yuwen Zhao Qiying Sun Qiying Sun Qian Xu Qian Xu Xinyin Wu Xinxiang Yan Xinxiang Yan Jifeng Guo Jifeng Guo Beisha Tang Beisha Tang Beisha Tang Beisha Tang Beisha Tang Zhenhua Liu Zhenhua Liu Zhenhua Liu Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study |
| description |
Autonomic dysfunction (AutD) is one of the non-motor symptoms (NMSs) in Parkinson’s disease (PD). To investigate the prevalence and clinical features of AutD in Chinese patients with PD, a large multicenter cohort of 2,556 individuals with PD were consecutively involved in the Parkinson’s Disease and Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC) between January 1, 2017, and December 31, 2019. The assessment of AutD was performed using the Scale for Outcomes in Parkinson’s Disease for Autonomic Symptoms (SCOPA-AUT). The evaluation of motor symptoms and other NMSs were performed using well-established scales recommended by the Movement Disorder Society. We found that out of 2,556 patients with PD, 2,333 patients with PD (91.28%) had AutD. Compared with the group of patients with PD without AutD, the group of patients with PD with AutD had older age, older age of onset, longer disease duration, more severe motor symptoms, motor complications, and more frequent NMSs. As for partial correlation analysis, the total SCOPA-AUT score was significantly and positively associated with motor severity scales [Unified Parkinson’s Disease Rating Scale (UPDRS) total score] and some of the NMSs [Rapid Eye Movement Sleep Behavior Disorder Questionnaire (RBD), Epworth Sleepiness Scale, Hamilton Depression Scale], Fatigue Severity Scale, and Parkinson’s disease questionnaire. PD Sleep Scale was significantly and negatively correlated with AutD. With logistic regression analysis for potentially related factors, age, UPDRS total score, RBD, hyposmia, depression, and fatigue may be associated with PD with AutD. In conclusion, our multicenter cohort study reported the high prevalence of AutD in Chinese PD and revealed the associated factors of PD with AutD. |
| format |
article |
| author |
Zhou Zhou Zhou Zhou Xiaoting Zhou Xiaoxia Zhou Yaqin Xiang Liping Zhu Lixia Qin Yige Wang Hongxu Pan Yuwen Zhao Qiying Sun Qiying Sun Qian Xu Qian Xu Xinyin Wu Xinxiang Yan Xinxiang Yan Jifeng Guo Jifeng Guo Beisha Tang Beisha Tang Beisha Tang Beisha Tang Beisha Tang Zhenhua Liu Zhenhua Liu Zhenhua Liu |
| author_facet |
Zhou Zhou Zhou Zhou Xiaoting Zhou Xiaoxia Zhou Yaqin Xiang Liping Zhu Lixia Qin Yige Wang Hongxu Pan Yuwen Zhao Qiying Sun Qiying Sun Qian Xu Qian Xu Xinyin Wu Xinxiang Yan Xinxiang Yan Jifeng Guo Jifeng Guo Beisha Tang Beisha Tang Beisha Tang Beisha Tang Beisha Tang Zhenhua Liu Zhenhua Liu Zhenhua Liu |
| author_sort |
Zhou Zhou |
| title |
Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study |
| title_short |
Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study |
| title_full |
Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study |
| title_fullStr |
Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study |
| title_full_unstemmed |
Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study |
| title_sort |
characteristics of autonomic dysfunction in parkinson’s disease: a large chinese multicenter cohort study |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/0bab27da27f04bbe9ffd0bbd3ce5d511 |
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