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Eckhardt C, Fanciulli A, Högl B, Heidbreder A, Eschlböck S, Raccagni C, Krismer F, Leys F, Kiechl S, Ransmayr G, Frauscher B, Seppi K, Wenning G, Stefani A. Analysis of sleep, daytime sleepiness, and autonomic function in multiple system atrophy and Parkinson disease: a prospective study. J Clin Sleep Med 2023; 19:63-71. [PMID: 36004744 PMCID: PMC9806784 DOI: 10.5664/jcsm.10268] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/14/2022] [Accepted: 08/17/2022] [Indexed: 01/07/2023]
Abstract
STUDY OBJECTIVES Sleep disorders, daytime sleepiness, and autonomic dysfunction are commonly reported among patients with multiple system atrophy and Parkinson disease (PD). We aimed to assess sleep and autonomic function in these patients to evaluate the relationships between sleep disorders, excessive daytime sleepiness, and autonomic function. METHODS Twenty patients with multiple system atrophy (n = 7) and PD (n = 13) underwent clinical assessment including questionnaires for autonomic function and sleep. Cardiovascular autonomic function tests and 2-night video-polysomnography were followed by administration of the Multiple Sleep Latency Test. Rapid eye movement sleep without atonia was quantified in the chin, flexor digitorum superficialis, tibial anterior, and sternocleidomastoid muscles. RESULTS Rapid eye movement sleep behavior disorder was associated with orthostatic hypotension (P = .017) and constipation (P = .019) in PD. Patients with orthostatic hypotension had higher rapid eye movement sleep without atonia indices than those without orthostatic hypotension (P < .001). The Sleep Innsbruck Barcelona rapid eye movement sleep without atonia index ("any" chin and/or flexor digitorum superficialis) correlated with systolic/diastolic blood pressure fall upon tilt-table examination in patients with multiple system atrophy (P < .05) and with gastrointestinal (P = .010), urinary (P = .022), and total Scales for Outcomes in Parkinson's Disease-Autonomic Dysfunction scores (P = .006) in all patients. Patients with a pathological deep breathing ratio showed higher Sleep Innsbruck Barcelona indices (P = .031). Objective daytime sleepiness was exclusively present in PD (P = .034) and correlated with levodopa-equivalent dosage (P = .031). CONCLUSIONS The relationship of autonomic dysfunction with rapid eye movement sleep without atonia in PD and multiple system atrophy is accounted for by shared brainstem neuropathology and likely identifies patients in a more advanced stage of disease. Excessive daytime sleepiness is found exclusively in PD and may be secondary to levodopa treatment and not related to α-synuclein disease. CITATION Eckhardt C, Fanciulli A, Högl B, et al. Analysis of sleep, daytime sleepiness, and autonomic function and multiple system atrophy and Parkinson disease: a prospective study. J Clin Sleep Med. 2023;19(1):63-71.
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Affiliation(s)
- Christine Eckhardt
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | | | - Birgit Högl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Anna Heidbreder
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Sabine Eschlböck
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Cecilia Raccagni
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- Department of Neurology, Regional Hospital of Bolzano, Bolzano, Italy
| | - Florian Krismer
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Fabian Leys
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | | | - Birgit Frauscher
- Analytical Neurophysiology Lab and Epilepsy Program, Montreal Neurological Institute and Hospital, McGill University, Montreal H3A 2B4, Quebec, Canada
| | - Klaus Seppi
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Gregor Wenning
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
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Riboldi GM, Russo MJ, Pan L, Watkins K, Kang UJ. Dysautonomia and REM sleep behavior disorder contributions to progression of Parkinson's disease phenotypes. NPJ Parkinsons Dis 2022; 8:110. [PMID: 36042235 PMCID: PMC9427762 DOI: 10.1038/s41531-022-00373-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 08/02/2022] [Indexed: 02/06/2023] Open
Abstract
Non-motor symptoms of Parkinson's disease (PD) such as dysautonomia and REM sleep behavior disorder (RBD) are recognized to be important prodromal symptoms that may also indicate clinical subtypes of PD with different pathogenesis. Unbiased clustering analyses showed that subjects with dysautonomia and RBD symptoms, as well as early cognitive dysfunction, have faster progression of the disease. Through analysis of the Parkinson's Progression Markers Initiative (PPMI) de novo PD cohort, we tested the hypothesis that symptoms of dysautonomia and RBD, which are readily assessed by standard questionnaires in an ambulatory care setting, may help to independently prognosticate disease progression. Although these two symptoms associate closely, dysautonomia symptoms predict severe progression of motor and non-motor symptoms better than RBD symptoms across the 3-year follow-up period. Autonomic system involvement has not received as much attention and may be important to consider for stratification of subjects for clinical trials and for counseling patients.
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Affiliation(s)
- Giulietta Maria Riboldi
- Department of Neurology, the Marlene and Paolo Fresco Institute for Parkinson's Disease and Movement Disorders, New York University Langone Health, New York, NY, 10017, USA
| | - Marco J Russo
- Department of Neurology, the Marlene and Paolo Fresco Institute for Parkinson's Disease and Movement Disorders, New York University Langone Health, New York, NY, 10017, USA
| | - Ling Pan
- NYU Langone Neurosurgery Associates, New York, NY, 10016, USA
| | | | - Un Jung Kang
- Department of Neurology, the Marlene and Paolo Fresco Institute for Parkinson's Disease and Movement Disorders, New York University Langone Health, New York, NY, 10017, USA.
- Department of Neuroscience and Physiology, Neuroscience Institute, The Parekh Center for Interdisciplinary Neurology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
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Chen K, Du K, Zhao Y, Gu Y, Zhao Y. Trajectory Analysis of Orthostatic Hypotension in Parkinson's Disease: Results From Parkinson's Progression Markers Initiative Cohort. Front Aging Neurosci 2022; 13:762759. [PMID: 34987376 PMCID: PMC8720927 DOI: 10.3389/fnagi.2021.762759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 11/08/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Orthostatic hypotension (OH) in Parkinson’s disease (PD) can lead to falls, impair quality of life, and increase mortality. A trajectory analysis of OH could be useful to predict and prevent the hypotension incidence early. Methods: The longitudinal data of 660 patients with PD with disease duration up to 12 years were extracted from an integrated PD database. We used latent class mixed modeling (LCMM) to identify patient subgroups, demonstrating trajectories of changes in orthostatic blood pressure (BP) over time. The optimal number of subgroups was selected by several criteria including the Bayesian Information Criterion. Baseline information comparison between groups and backward stepwise logistic regression were conducted to define the distinguishing characteristics of these subgroups and to investigate the predictors for BP trajectory. Results: We identified three trajectories for each orthostatic change of systolic blood pressure (ΔSBP), namely, Class 1 (i.e., the increasing class) consisted of 18 participants with low ΔSBP that increased continuously during the follow-up; Class 2 (i.e., the low-stable class) consisted of 610 participants with low ΔSBP that remained low throughout the follow-up; and Class 3 (i.e., the high-stable class) consisted of 32 participants with high ΔSBP at baseline that was relatively stable throughout the follow-up. Several parameters differed among subgroups, but only male sex [odds ratio (OR) = 4.687, 95% confidence interval (CI) = 1.024–21.459], lower supine diastolic blood pressure (DBP) (OR = 0.934, 95% CI = 0.876–0.996), and lower level of total protein at baseline (OR = 0.812, 95% CI = 0.700–0.941) were significant predictors of an increasing ΔSBP trajectory. Conclusion: This study provides new information on the longitudinal development of ΔSBP in patients with PD with distinct trajectories of rapidly increasing, low-stable, and high-stable class. The parameters such as male sex, lower supine DBP, and lower total proteins help to identify the rapidly increasing class.
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Affiliation(s)
- Kui Chen
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kangshuai Du
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yichen Zhao
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yongzhe Gu
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yanxin Zhao
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
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Sohn EH, Gibbons CH, Freeman R, Lee AY, Jung MS, Kim S. Validation of the Korean version of the Boston Autonomic Symptom Questionnaire. J Clin Neurol 2021; 17:463-469. [PMID: 34184455 PMCID: PMC8242302 DOI: 10.3988/jcn.2021.17.3.463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND PURPOSE The Boston Autonomic Symptom Questionnaire (BASQ) is a quantitative tool using a numeric rating scale to assess the symptoms of systemic dysautonomia, including cardiovascular, gastrointestinal, urinary, sudomotor, vasomotor, and sexual functions. The aim of this study was to validate the Korean version of the BASQ (KBASQ). METHODS Prospectively enrolled subjects who submitted to autonomic function tests, including tests for cardiovagal, adrenergic, and sudomotor functions, also completed the KBASQ and the Korean version of the Orthostatic Grading Scale (KOGS), a validated questionnaire or assessing orthostatic symptoms.Twenty-eight subjects completed the KBASQ twice to assess test-retest reliability. We classified the subjects to dysautonomia or normal control group according to dysautonomic symptoms and the results of autonomic function tests. RESULTS This study enrolled 225 subjects aged 54.0±18.1 years (mean±standard deviation), with a male/female ratio of 1/1.03. The internal validity of the KBASQ was excellent (Cronbach's α=0.922), and that of each of its subscales ranged from excellent to acceptable (Cronbach's α=0.709-0.952). The test-retest reliability was good, with correlation coefficients ranging from 0.354 to 0.917. The subcategory scores for the KBASQ were significantly higher in the dysautonomia group than in the normal control group. There were significant correlations among the items in the KBASQ and KOGS. There was also a significant correlation between KBASQ scores and the results of the autonomic function tests. CONCLUSIONS The internal validity and reliability of the KBASQ were good, indicating that it may be a useful screening tool for the systematic evaluation of autonomic symptoms in patients with dysautonomia.
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Affiliation(s)
- Eun Hee Sohn
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea.
| | - Christopher H Gibbons
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Roy Freeman
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ae Young Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea
| | - Mi Sook Jung
- College of Nursing, Chungnam National University, Daejeon, Korea
| | - Sooyoung Kim
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea
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Ahn JH, Kim M, Mun JK, Cho Y, Kim JS, Youn J, Kim JS, Cho JW. The Dysfunctional Autonomic Function and “Dysfunctional” Fatigue in Drug Naïve Parkinson’s Disease. JOURNAL OF PARKINSONS DISEASE 2020; 10:605-612. [DOI: 10.3233/jpd-201919] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Jong Hyeon Ahn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
| | - Minkyeong Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
| | - Jun Kyu Mun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
| | - Yoonsu Cho
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
| | - Ji Sun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
| | - Jinyoung Youn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
| | - Joong-Seok Kim
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jin Whan Cho
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Gangnam-gu, Seoul, Republic of Korea
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