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Supplementary Material for: Autonomic Symptoms Correlate with Non-Autonomic Non-Motor Symptoms and Sleep Problems in Patients with Parkinson’s Disease

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Figshare2018-12-20 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Supplementary_Material_for_Autonomic_Symptoms_Correlate_with_Non-Autonomic_Non-Motor_Symptoms_and_Sleep_Problems_in_Patients_with_Parkinson_s_Disease/7466732
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Objective: The objective of this study was to clarify the relationship between autonomic and non-autonomic non-motor symptoms in patients with Parkinson’s disease (PD). Methods: Sixty-five PD patients were included in this study (27 men and 38 women; aged 68.5 ± 10.0; Hoehn and Yahr (HY) stage 2.6 ± 1.1). The autonomic symptoms were evaluated by the Japanese version of the Scales for outcomes in PD autonomic (SCOPA-AUT) questionnaire. The patients were assessed with the mini-mental state examination (MMSE), PD sleep evaluation scale-2 (PDSS-2), Epworth sleepiness scale (ESS) and Beck’s depression inventory II (BDI-II). The Non-Motor Symptom Scale (NMSS) total scores and subscores of non-autonomic non-motor symptom domains (sleep/fatigue, mood/cognition, perceptual problems/hallucination, and attention/memory) were evaluated. A dopamine transporter (DAT) scan, metaiodobenzylguanidine (MIBG) myocardial scintigraphy, and card type olfactory identification test (open essence [OE, Wako]) were performed. Results: The SCOPA-AUT total score was positively correlated with the disease duration, HY stage, levodopa equivalent dose, PDSS-2, ESS, BDI-II and non-autonomic NMSS and inversely correlated with the MMSE. The high-SCOPA-AUT group (≥9) had lower MMSE scores and higher PDSS-2, ESS, BDI-II and non-motor NMSS scores than the low-SCOPA-AUT group (p p = 0.00040) were significant predictors of the total SCOPA-AUT score. Conclusion: Our study shows significant correlations among autonomic symptoms, PD-related sleep problems and non-autonomic non-motor symptoms in PD patients.
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2018-12-20
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