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Xie C, Li T, Lin Y, Fu Z, Li N, Qi W, Yu X, Zhu L, Wang H. Prevalence and correlates of probable rapid eye movement sleep behavior disorder among middle-aged and older adults in a psychiatric outpatient clinic: A cross-sectional survey. Sleep Med 2024; 121:266-274. [PMID: 39032185 DOI: 10.1016/j.sleep.2024.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 07/22/2024]
Abstract
OBJECTIVE Rapid eye movement sleep behavior disorder (RBD) is often underdiagnosed among people living with mental disorders. The present study aimed to investigate the prevalence of probable RBD (pRBD) and its associated factors among middle-aged and older adults in a psychiatric outpatient clinic. METHODS We conducted a cross-sectional survey among 2907 people aged 45-80 years who visited the outpatient clinic between March 1 and August 31, 2022 in a psychiatric hospital. A cutoff score ≥5 on the RBD Screening Questionnaire (RBDSQ) was used to indicate the presence of probable RBD (pRBD). Potential factors associated with pRBD were also assessed with a structured checklist. The association between these factors and the presence of pRBD was examined with logistic regression. RESULTS The response rate was 64.3 %. Among 1868 respondents [age 58.5 ± 9.6 years, male n = 738 (39.5 %), female n = 1130 (60.5 %)], 15.9 % (95 % CI 14.2-17.6 %) screened positive for pRBD. Occupational exposure to chemicals; positive family history of psychotic disorders; a late start of mental health care; a medical history of autonomic dysfunction; mood problems; and use of antidepressants, hypnotics, and acetylcholinesterase inhibitors were associated with an increased likelihood of having pRBD (P < 0.05 for all). CONCLUSION pRBD is common among outpatients with mental disorders, especially in mental disorders due to neurological diseases and physical conditions, mood disorders and anxiety or somatoform disorders. The findings highlight the importance of identifying sleep behavior disorders among people living with mental disorders in clinical practice.
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Affiliation(s)
- Caixia Xie
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Tao Li
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
| | - Yongsheng Lin
- Shangrao Third People's Hospital, Shangrao, 334000, China.
| | - Zhiqiang Fu
- Shangrao Third People's Hospital, Shangrao, 334000, China.
| | - Nan Li
- Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, 100191, China.
| | - Wei Qi
- Shangrao Third People's Hospital, Shangrao, 334000, China.
| | - Xin Yu
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
| | - Limao Zhu
- Shangrao Third People's Hospital, Shangrao, 334000, China.
| | - Huali Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou, 325000, China; Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
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Qiu-Qiang Z, Wei-Wei Y, Shan-Shu H, Yi-Ran L. Mendelian randomization of individual sleep traits associated with major depressive disorder. J Affect Disord 2024; 365:105-111. [PMID: 39153551 DOI: 10.1016/j.jad.2024.08.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 06/06/2024] [Accepted: 08/12/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Observational studies have shown that individual sleep traits habits are potential risk factors for major depression. However, it is not known whether there is a causal relationship between individual sleep traits habits such as continuous sleep duration, short sleep duration, short sleep duration, insomnia, nap during the day, snoring, and major depression. In this study, Mendelian randomization (MR) was used to predict major depressive disorder (MDD) in individuals sleep traits habits. METHODS Data were obtained from the genome-wide association study (GWAS). Nine MR analysis methods were used: Inverse Variance Weighted (IVW) [fixed effects/multiplicative random effects], simple mode, simple mode, weighted mode, simple median, weighted median, penalised weighted median, and MR-Egger, MR Egger (bootstrap). IVW was used as the main analysis method for the MR analysis of two samples, and the other methods were used as supplements. RESULTS The results obtained through the IVW method supported a causal relationship between sleep duration and decreased risk of MDD (odds ratio, ORivw: 0.998; 95 % CI: 0.996-0.999, P<0.001). Two-Sample MR, results showed that short sleep duration has a causal effect on the increased risk of MDD (odds ratio, ORivw: 1.179; 95 % CI: 1.108-1.255, P<0.001). However, there were no sufficient evidence supported that long sleep duration has a causal effect on the decreased risk of MDD (odds ratio, ORivw: 0.991; 95 % CI: 0.924-1.062, P = 0.793). A significant causal relationship between insomnia and increased risk of MDD was observed (OR: 1.233; 95 % CI: 1.214-1.253, P<0.001). Interestingly, our study also found that daytime napping has a causal effect on the increased risk of MDD (odds ratio, ORivw: 1.519; 95 % CI: 1.376-1.678, P<0.001). The present results did not show a significant causal relationship between snoring and the risk of MDD (ORivw: 1.000; 95 % CI: 0.998-1.002, P = 0.906). Obstructive sleep apnea (odds ratio, ORivw: 1.021; 95 % CI: 0.972-1.072, P = 0.407) and morning person (odds ratio, ORivw: 1.021; 95 % CI: 0.972-1.072, P = 0.407) have no causal effect on the increased risk of MDD. LIMITATIONS The study could not ascertain whether there were genetic differences among different ethnicities, nations, and regions, as it only included participants of European ancestry. CONCLUSIONS In summary, our research provides genetic evidence for the relationship between individual sleep traits (short sleep duration, insomnia, daytime napping) and the increased risk of MDD. Interventions targeting lifestyle factors may reduce the risk of MDD.
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Affiliation(s)
- Zheng Qiu-Qiang
- School of Education Science, Huizhou University, Huizhou, China and Institute of Analytical Psychology, City University of Macau, Macao
| | - Yang Wei-Wei
- Mental Health Education and Counseling Center, Beijing Normal University Zhuhai, Zhuhai, China
| | - He Shan-Shu
- College of Administration and Business, Dankook University, Yongin 16891, Republic of Korea
| | - Li Yi-Ran
- College of Educational Sciences, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.
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Kobayashi R, Iwata-Endo K, Fujishiro H. Clinical presentations and diagnostic application of proposed biomarkers in psychiatric-onset prodromal dementia with Lewy bodies. Psychogeriatrics 2024; 24:1004-1022. [PMID: 38837629 DOI: 10.1111/psyg.13147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 06/07/2024]
Abstract
Research criteria for the diagnosis of prodromal dementia with Lewy bodies (DLB) include three clinical subtypes: mild cognitive impairment with Lewy bodies (MCI-LB), delirium-onset prodromal DLB, and psychiatric-onset prodromal DLB. Late-onset psychiatric manifestations are at a higher risk of developing dementia, but its relation to prodromal DLB remains unclear. In addition to the risk of severe antipsychotic hypersensitivity reactions, accurate discrimination from non-DLB cases is important due to the potential differences in management and prognosis. This article aims to review a rapidly evolving psychiatric topic and outline clinical pictures of psychiatric-onset prodromal DLB, including the proposed biomarker findings of MCI-LB: polysomnography-confirmed rapid eye movement sleep behaviour disorder, cardiac [123I]metaiodobenzylguanidine scintigraphy, and striatal dopamine transporter imaging. We first reviewed clinical pictures of patients with autopsy-confirmed DLB. Regarding clinical reports, we focused on the patients who predominantly presented with psychiatric manifestations and subsequently developed DLB. Thereafter, we reviewed clinical studies regarding the diagnostic applications of the proposed biomarkers to patients with late-onset psychiatric disorders. Clinical presentations were mainly late-onset depression and psychosis; however, other clinical manifestations were also reported. Psychotropic medications before a DLB diagnosis may cause extrapyramidal signs, and potentially influences the proposed biomarker findings. These risks complicate clinical manifestation interpretation during the management of psychiatric symptoms. Longitudinal follow-up studies with standardised evaluations until conversion to DLB are needed to investigate the temporal trajectories of core features and proposed biomarker findings. In patients with late-onset psychiatric disorders, identification of patients with psychiatric-onset prodromal DLB provides the opportunity to better understanding the distinct prognostic subgroup that is at great risk of incident dementia. Advances in the establishment of direct biomarkers for the detection of pathological α-synuclein may encourage reorganising the phenotypic variability of prodromal DLB.
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Affiliation(s)
- Ryota Kobayashi
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Kuniyuki Iwata-Endo
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Wang J, Huang B, Zhou L, Tang S, Feng H, Chan JWY, Chau SWH, Zhang J, Li SX, Mok V, Wing YK, Liu Y. Visuospatial dysfunction predicts dementia-first phenoconversion in isolated REM sleep behaviour disorder. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-333865. [PMID: 38925912 DOI: 10.1136/jnnp-2024-333865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVE While isolated rapid eye movement sleep behaviour disorder (iRBD) is known as a prodrome of α-synucleinopathies, the prediction for its future phenoconversion to parkinsonism-first or dementia-first subtype remains a challenge. This study aimed to investigate whether visuospatial dysfunction predicts dementia-first phenoconversion in iRBD. METHODS Patients with iRBD and control subjects were enrolled in this prospective cohort study. Baseline neuropsychological assessment included the Unified Parkinson's Disease Rating Scale part III, Montreal Cognitive Assessment (MoCA), Rey-Osterrieth complex figure (ROCF), Colour Trails test (CTT), Farnsworth-Munsell 100-hue test and Digit Span test. The anterior and posterior subscores of MoCA as well as their modified versions were explored. A composite score derived from ROCF and CTT was also explored. Regular follow-up was conducted to determine the phenoconversion status of iRBD patients. RESULTS The study included 175 iRBD patients and 98 controls. During a mean follow-up of 5.1 years, 25.7% of patients experienced phenoconversion. Most of the neuropsychological tests could differentiate dementia-first but not parkinsonism-first convertors from non-convertors. The modified posterior subscore of MoCA, by integrating the Alternating Trail Making and Clock Drawing components into original the posterior subscore, which mainly reflects visuospatial function, was the strongest predictor for dementia-first phenoconversion (adjusted HR 5.48, 95% CI 1.67 to 17.98). CONCLUSION Visuospatial dysfunction, as reflected mainly by the modified posterior subscore of MoCA, is a predictive factor for dementia-first phenoconversion in iRBD, suggesting its potential for being a biomarker for clinical prognostic prediction and potential neuroprotective trials aiming to delay or prevent dementia.
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Affiliation(s)
- Jing Wang
- Center for Sleep and Circadian Medicine, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Shi Tang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Hongliang Feng
- Center for Sleep and Circadian Medicine, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Steven W H Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Shirley X Li
- Department of Psychology and the State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Vincent Mok
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
| | - Yaping Liu
- Center for Sleep and Circadian Medicine, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education, Guangzhou Medical University, Guangzhou, Guangdong, China
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5
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Schenck CH. REM sleep behaviour disorder (RBD): Personal perspectives and research priorities. J Sleep Res 2024:e14228. [PMID: 38782758 DOI: 10.1111/jsr.14228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/08/2024] [Accepted: 04/16/2024] [Indexed: 05/25/2024]
Abstract
The formal identification and naming of rapid eye movement (REM) sleep behaviour disorder (RBD) in 1985-1987 is described; the historical background of RBD from 1966 to 1985 is briefly discussed; and RBD milestones are presented. Current knowledge on RBD is identified with reference to recent comprehensive reviews, allowing for a focus on research priorities for RBD: factors and predictors of neurodegenerative phenoconversion from isolated RBD and patient enrolment in neuroprotective trials; isolated RBD clinical research cohorts; epidemiology of RBD; traumatic brain injury, post-traumatic stress disorder, RBD and neurodegeneration; depression, RBD and synucleinopathy; evolution of prodromal RBD to neurodegeneration; gut microbiome dysbiosis and colonic synuclein histopathology in isolated RBD; other alpha-synuclein research in isolated RBD; narcolepsy-RBD; dreams and nightmares in RBD; phasic REM sleep in isolated RBD; RBD, periodic limb movements, periodic limb movement disorder pseudo-RBD; other neurophysiology research in RBD; cardiac scintigraphy (123I-MIBG) in isolated RBD; brain magnetic resonance imaging biomarkers in isolated RBD; microRNAs as biomarkers in isolated RBD; actigraphic, other automated digital monitoring and machine learning research in RBD; prognostic counselling and ethical considerations in isolated RBD; and REM sleep basic science research. RBD research is flourishing, and is strategically situated at an ever-expanding crossroads of clinical (sleep) medicine, neurology, psychiatry and neuroscience.
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Affiliation(s)
- Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, Department of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, Minnesota, USA
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6
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Jones MB, Tea J, Meyers M, Li R, Villalon A, Agrawal R, Jorge RE. Rates and Predictors of Rapid Eye Movement Sleep Behavior Disorder Symptoms Among Post-9/11 Veterans. J Neuropsychiatry Clin Neurosci 2024:appineuropsych20230106. [PMID: 38650465 DOI: 10.1176/appi.neuropsych.20230106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
OBJECTIVE Posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI), which are prevalent conditions among post-9/11 veterans, increase risks of rapid eye movement (REM) sleep behavior disorder (RBD) and degenerative synucleinopathy. Rates and predictors of RBD symptoms were investigated by screening post-9/11 veterans for RBD with a validated questionnaire. METHODS In this cross-sectional analysis, consecutive patients in the Houston Translational Research Center for TBI and Stress Disorders (TRACTS) were screened with the English translation of the RBD Questionnaire-Hong Kong (RBDQ-HK). In addition to data from the standard TRACTS battery, systematic chart review was used to identify known sleep disorders mimicking or manifesting RBD. RESULTS Of the 119 patients with available RBDQ-HK scores, 71 (60%) and 65 (55%) screened positive for RBD, when a total score ≥21 and a factor 2 score ≥8 were used as cutoff scores, respectively. Univariable analyses with both cutoffs showed consistent associations between a positive RBDQ-HK screen and global sleep quality, number of TBI exposures, and PTSD severity. Multivariable logistic regression with total score ≥21 as a cutoff indicated that PTSD severity (odds ratio=1.06, 95% CI=1.02-1.10) and number of TBIs (odds ratio=1.63, 95% CI=1.16-2.41) were independent predictors of a positive screen, whereas global sleep quality was no longer significant. Multivariable logistic regression with factor 2 score ≥8 as a cutoff showed similar results. CONCLUSIONS Interdisciplinary parasomnia assessment, further validation of RBD screens, and standardized reporting of REM sleep without atonia could provide necessary information on the pathophysiological relationships linking PTSD, TBI, RBD symptoms, and ultimately synucleinopathy risk among post-9/11 veterans.
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Affiliation(s)
- Melissa B Jones
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
| | - Juliann Tea
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
| | - Matthew Meyers
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
| | - Ruosha Li
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
| | - Audri Villalon
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
| | - Ritwick Agrawal
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
| | - Ricardo E Jorge
- Mental Health Care Line (Jones, Jorge), Research Care Line (Jones, Villalon), and Medical Care Line (Agrawal), Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences (Jones, Villalon, Jorge), and Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine (Agrawal), Baylor College of Medicine, Houston; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Tea); Division of Clinical Pharmacology, Department of Medicine, and Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Meyers); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston (Li)
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7
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Zhou L, Li SX, Chau SW, Huang B, Wang J, Tang S, Chan JW, Zhang J, Yu MW, Tsang JC, Hu MT, Mok VC, Wing YK, Liu Y. Altered Impulsivity Across Drug-Naïve Parkinsonism, Isolated Rapid Eye Movement Sleep Behavior Disorder, and Their High-Risk Relatives. Ann Neurol 2024; 95:544-557. [PMID: 37997521 DOI: 10.1002/ana.26836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 10/01/2023] [Accepted: 11/02/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVE To determine multidimensional impulsivity levels across different early stages of α-synucleinopathy. METHODS This cross-sectional study investigated motor and decisional impulsivity levels using a panel of computerized tasks among drug-naïve parkinsonism patients, isolated/idiopathic rapid eye movement sleep behavior disorder (iRBD) patients and their first-degree relatives (iRBD-FDRs), and control participants. Trait impulsivity and impulse control behaviors were assessed by self-reported questionnaires. RESULTS A total of 27 drug-naïve parkinsonism patients, 157 iRBD patients, 66 iRBD-FDRs, and 82 control participants were recruited. Parkinsonism and iRBD patients had fewer numbers of extracted beads in beads task 1 and 2 (both p < 0.001), and a higher rate of irrational choice in task 1 (p = 0.046) before making decisions, and fewer numbers of pumps of unexploded blue balloons in the balloon analog risk task (p = 0.004) than control participants, indicating a higher level of reflection impulsivity and a lower level of risk taking, respectively. iRBD patients had more no-go errors in the go/no-go task than control participants (padjusted = 0.036), suggesting a higher level of motor impulsivity. iRBD-FDRs with dream-enactment behaviors had fewer numbers of extracted beads (p = 0.047) in beads task 2 than FDRs without dream-enactment behaviors, suggesting a possible higher level of reflection impulsivity. INTERPRETATION A complex construct of altered impulsivity with decreased risk taking, but increased reflection and motor impulsivity, has already occurred at the prodromal and early stages of α-synucleinopathy, which have implications for underlying pathophysiology and clinical management of α-synucleinopathy, especially for impulse control behaviors upon dopaminergic drug treatment. ANN NEUROL 2024;95:544-557.
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Affiliation(s)
- Li Zhou
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Shirley Xin Li
- Department of Psychology, The University of Hong Kong, Hong Kong, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Steven Wh Chau
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Bei Huang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jing Wang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shi Tang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Joey Wy Chan
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jihui Zhang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mandy Wm Yu
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jessie Cc Tsang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Michele Tm Hu
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, UK
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Yaping Liu
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
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8
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Wang J, Lam SP, Huang B, Liu Y, Zhang J, Yu MWM, Tsang JCC, Zhou L, Chau SWH, Chan NY, Chan JWY, Schenck CH, Li SX, Mok VCT, Ma KKY, Chan AYY, Wing YK. Familial α-synucleinopathy spectrum features in patients with psychiatric REM sleep behaviour disorder. J Neurol Neurosurg Psychiatry 2023; 94:893-903. [PMID: 37399287 DOI: 10.1136/jnnp-2022-330922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 05/28/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Rapid eye movement (REM) sleep behaviour disorder (RBD) is one of the earliest and most specific prodromes of the α-synucleinopathies including Parkinson's disease (PD). It remains uncertain whether RBD occurring in the context of psychiatric disorders (psy-RBD), although very common, is merely a benign epiphenomenon of antidepressant treatment, or whether it harbours an underlying α-synucleinopathy. We hypothesised that patients with psy-RBD demonstrate a familial predisposition to an α-synucleinopathy. METHODS In this case-control-family study, a combination of family history and family study method was used to measure the α-synucleinopathy spectrum features, which included RBD, neurodegenerative prodromal markers and clinical diagnoses of neurodegenerative disorders. We compared the risk of α-synucleinopathy spectrum features in the first-degree relatives (FDRs) of patients with psy-RBD, psychiatric controls and healthy controls. RESULTS There was an increase of α-synucleinopathy spectrum features in the psy-RBD-FDRs, including possible and provisional RBD (adjusted HR (aHR)=2.02 and 6.05, respectively), definite RBD (adjusted OR=11.53) and REM-related phasic electromyographic activities, prodromal markers including depression (aHR=4.74) and probable subtle parkinsonism, risk of prodromal PD and clinical diagnosis of PD/dementia (aHR=5.50), as compared with healthy-control-FDRs. When compared with psychiatric-control-FDRs, psy-RBD-FDRs consistently presented with a higher risk for the diagnosis and electromyographic features of RBD, diagnosis of PD/dementia (aHR=3.91) and risk of prodromal PD. In contrast, psychiatric controls only presented with a familial aggregation of depression. CONCLUSION Patients with psy-RBD are familially predisposed to α-synucleinopathy. The occurrence of RBD with major depression may signify a subtype of major depressive disorders with underlying α-synucleinopathy neurodegeneration. TRIAL REGISTRATION NUMBER NCT03595475.
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Affiliation(s)
- Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Siu Ping Lam
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mandy W M Yu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessie C C Tsang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven W H Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Departments of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Shirley X Li
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent C T Mok
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Karen Ka Yan Ma
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Yin Yan Chan
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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9
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Li X, Zong Q, Liu L, Liu Y, Shen Y, Tang X, Wing YK, Li SX, Zhou J. Sex differences in rapid eye movement sleep behavior disorder: A systematic review and meta-analysis. Sleep Med Rev 2023; 71:101810. [PMID: 37422999 DOI: 10.1016/j.smrv.2023.101810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/28/2023] [Accepted: 06/22/2023] [Indexed: 07/11/2023]
Abstract
Although rapid eye movement (REM) sleep behavior disorder (RBD) has been widely considered as a male-predominant parasomnia, the existing evidence for the sex difference in the risk of RBD in the general population was conflicting. The present study conducted a systematic review to explore the sex differences in the prevalence, comorbidities, clinical characteristics, and phenoconversion of RBD. One hundred thirty-five eligible studies were identified for the systematic review, and 133 were finally included in the meta-analysis. Males in the general population showed a trend for a higher risk of probable/possible RBD (pRBD), especially among the male older adults (aged ≥60). In the clinical populations, males showed a significantly higher risk of confirmed RBD, but not of pRBD. Among idiopathic RBD (iRBD) patients, males had a significantly earlier age onset of RBD compared with females. Male patients with Parkinson's disease (PD) had a higher risk of comorbid RBD. There was no significant sex difference in the risk of developing neurodegenerative diseases in iRBD patients. Large scale and prospective studies utilizing stringent diagnostic criteria for RBD are recommended to further verify the sex differences in RBD and to investigate the mechanism underlying the sex difference.
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Affiliation(s)
- Xiao Li
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
| | - Qiang Zong
- Department of Trauma Surgery, Hannover Medical School, Germany
| | - Liu Liu
- Department of Anesthesiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yaping Liu
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Yanjiao Shen
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Tang
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Shirley Xin Li
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.
| | - Junying Zhou
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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10
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Xiang Y, Zhou X, Huang X, Zhou X, Zeng Q, Zhou Z, Xu Q, Liu Z, Sun Q, Tan J, Yan X, Tang B, Zhang X, Guo J. The risk factors for probable REM sleep behavior disorder: A case-control study. Sleep Med 2023; 110:99-105. [PMID: 37572576 DOI: 10.1016/j.sleep.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/29/2023] [Accepted: 08/04/2023] [Indexed: 08/14/2023]
Abstract
OBJECTIVE To investigate the risk factors for REM sleep behavior disorder (RBD) in a case-control study. METHODS Participants with probable RBD (pRBD) were defined using the RBD Questionnaire-Hong Kong (RBDQ-HK). Controls were collected by matching age and sex. Demographic information, lifestyle, comorbidity, prodromal symptoms of Parkinson's disease (PD), and blood biomarkers were assessed. The associations between these factors and pRBD were investigated by logistic regression. Partial correlation analysis was used to assess the association between the severity of RBD and depression. RESULTS A total of 278 pRBD participants (age = 58.31 ± 15.82 years) and 556 controls (age = 58.16 ± 15.84 years) were enrolled in this study. Patients with pRBD were more likely to be current alcohol drinkers (OR 1.50, 95% CI 1.0-2.32). Participants with pRBD had a higher Hamilton Depression Rating Scale (HAMD-17) score (OR 1.17, 95% CI 1.11-1.22) than controls and were more likely to report arthritis (OR 1.53, 95% CI 1.08-2.16), constipation (OR 1.93, 95% CI 1.31-2.86), hyposmia (OR 1.71, 95% CI 1.10-2.67), and depression (OR 3.15, 95% CI 2.17-4.58). Higher levels of total cholesterol (OR 1.15, 95% CI 0.99-1.33) and low-density lipoprotein (OR 1.21, 95% CI 0.99-1.47) had borderline associations with pRBD. Additionally, the severity of pRBD was positively related to depression (r = 0.31, P < 0.01). CONCLUSIONS We determined several risk factors for pRBD in this case-control study. Future studies are needed to understand the mechanism underlying the association between these factors and pRBD.
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Affiliation(s)
- Yaqin Xiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiaoxia Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - XiuRong Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xun Zhou
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qian Zeng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhou Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhenhua Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qiying Sun
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jieqiong Tan
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China; National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Centre for Medical Genetics, Central South University, Hunan, China
| | - Xuewei Zhang
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Centre for Medical Genetics, Central South University, Hunan, China; Health Management Center, Xiangya Hospital, Central South University, Hunan, China.
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China; National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Centre for Medical Genetics, Central South University, Hunan, China; Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Hunan, China.
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11
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Huang B, Chau SWH, Liu Y, Chan JWY, Wang J, Ma SL, Zhang J, Chan PKS, Yeoh YK, Chen Z, Zhou L, Wong SH, Mok VCT, To KF, Lai HM, Ng S, Trenkwalder C, Chan FKL, Wing YK. Gut microbiome dysbiosis across early Parkinson's disease, REM sleep behavior disorder and their first-degree relatives. Nat Commun 2023; 14:2501. [PMID: 37130861 PMCID: PMC10154387 DOI: 10.1038/s41467-023-38248-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/21/2023] [Indexed: 05/04/2023] Open
Abstract
The microbiota-gut-brain axis has been suggested to play an important role in Parkinson's disease (PD). Here we performed a cross-sectional study to profile gut microbiota across early PD, REM sleep behavior disorder (RBD), first-degree relatives of RBD (RBD-FDR), and healthy controls, which could reflect the gut-brain staging model of PD. We show gut microbiota compositions are significantly altered in early PD and RBD compared with control and RBD-FDR. Depletion of butyrate-producing bacteria and enrichment of pro-inflammatory Collinsella have already emerged in RBD and RBD-FDR after controlling potential confounders including antidepressants, osmotic laxatives, and bowel movement frequency. Random forest modelling identifies 12 microbial markers that are effective to distinguish RBD from control. These findings suggest that PD-like gut dysbiosis occurs at the prodromal stages of PD when RBD develops and starts to emerge in the younger RBD-FDR subjects. The study will have etiological and diagnostic implications.
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Affiliation(s)
- Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven W H Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Suk Ling Ma
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Paul K S Chan
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kit Yeoh
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zigui Chen
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sunny Hei Wong
- Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Centre for Microbiome Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ka Fai To
- Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Anatomical and Cellular Pathology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hei Ming Lai
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Simon Ng
- Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Claudia Trenkwalder
- Clinic for Neurosurgery, University Medical Center, Georg August University Göttingen, Göttingen, Germany
- Center of Parkinsonism and Movement Disorders, Paracelsus-Elena Hospital, Kassel, Germany
| | - Francis K L Chan
- Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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12
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Kawakami I, Iga J, Takahashi S, Lin Y, Fujishiro H. Towards an understanding of the pathological basis of senile depression and incident dementia: Implications for treatment. Psychiatry Clin Neurosci 2022; 76:620-632. [PMID: 36183356 PMCID: PMC10092575 DOI: 10.1111/pcn.13485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/15/2022] [Accepted: 09/24/2022] [Indexed: 11/30/2022]
Abstract
Senile depression (SD) is a heterogeneous syndrome. Several clinical profiles are more likely to appear in SD than in early-life depression, but it remains unclear whether the pathophysiology is different. The prevalence of dementia increases with aging, and the underlying pathophysiological processes in the preclinical phase begin even before cognitive deficits or neurological signs appear. SD may be either a risk factor for developing dementia or a prodromal stage of dementia. The inconsistent findings regarding the association between SD and incident dementia may be attributable to the neuropathological heterogeneity underlying SD. Most studies have focused on patients with the clinical diagnosis of Alzheimer disease (AD) as an outcome, but several clinicopathological studies suggest that primary age-related tauopathy and argyrophilic grain disease may account for a proportion of cases clinically misdiagnosed as AD in the elderly population. Furthermore, most AD cases have additional neuropathologic changes such as cerebrovascular disease and Lewy body disease. Here, we review the neuropathological findings linking SD to incident dementia, focusing on common age-related neuropathologies. In particular, the roles of disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic-pituitary-adrenal axis, and elevated neuroinflammatory status are discussed. Finally, we review the current treatment of SD in the context of age-related neuropathological changes.
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Affiliation(s)
- Ito Kawakami
- Department of PsychiatryJuntendo University School of MedicineTokyoJapan
- Dementia Research ProjectTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Jun‐ichi Iga
- Department of NeuropsychiatryEhime University Graduate School of MedicineMatsuyamaJapan
| | - Sho Takahashi
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of MedicineUniversity of TsukubaTsukubaJapan
- Department of Community and Disaster Assistance, Ibaraki Prefectural Medical Research Center of PsychiatryUniversity of TsukubaTsukubaJapan
| | - Yi‐Ting Lin
- Department of PsychiatryNational Taiwan University HospitalTaipeiTaiwan
| | - Hiroshige Fujishiro
- Department of PsychiatryNagoya University Graduate School of MedicineAichiJapan
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13
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Huang B, Zhang J, Wang J, Chau SWH, Chan JWY, Yu MWM, Li SX, Zhou L, Mok V, Wing YK, Liu Y. Isolated dream‐enactment behaviours as a prodromal hallmark of rapid eye movement sleep behaviour disorder. J Sleep Res 2022; 32:e13791. [PMID: 36410741 DOI: 10.1111/jsr.13791] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 10/19/2022] [Accepted: 11/03/2022] [Indexed: 11/23/2022]
Abstract
Recurrent dream-enactment behaviours (DEB) and rapid eye movement (REM) sleep without atonia (RSWA) are two diagnostic hallmarks of REM sleep behaviour disorder (RBD), a specific prodrome of α-synucleinopathy. Whilst isolated RSWA (without DEB) was suggested as a prodrome of RBD, the implication of 'isolated' recurrent DEB remains under-investigated. In this cross-sectional study, we sought to investigate neurodegenerative markers amongst the first-degree relatives (FDRs, aged >40 years) of patients with RBD who underwent clinical assessment for DEB, neurodegenerative markers, and video-polysomnography assessment. Isolated recurrent DEB was defined as: (i) three or more episodes of DEB, (ii) had a DEB episode in the past 1 year, and (iii) subthreshold RSWA. We identified 29 FDRs (mean [SD] age 53.4 [8.3] years, 55.2% male) with isolated recurrent DEB and 98 age and sex-matched FDRs as controls. Isolated DEB was associated with nightmare (27.6% versus 11.2%, p = 0.02), and the DEB group had a higher rate of current smoking (27.6% versus 3.1%, p = 0.006), type 2 diabetes mellitus (24.1% versus 10.2%, p = 0.003), anxiety disorder (24.1% versus 11.2%, p = 0.02), and constipation (hard lump of stool, 31.0% versus 7.1%, p < 0.001) than the control group. The present findings revealed that family relatives of patients with RBD with isolated recurrent DEB have increased risk of RBD and neurodegenerative features, which adds to the emerging data that isolated DEB is a prodromal feature of RBD and α-synucleinopathy neurodegeneration.
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Affiliation(s)
- Bei Huang
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Jihui Zhang
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Center for Sleep and Circadian Medicine The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou China
| | - Jing Wang
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Center for Sleep and Circadian Medicine The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou China
| | - Steven Wai Ho Chau
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Joey Wing Yan Chan
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Mandy Wai Man Yu
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Shirley Xin Li
- Department of Psychology The University of Hong Kong Hong Kong China
- The State Key Laboratory of Brain and Cognitive Sciences The University of Hong Kong Hong Kong China
| | - Li Zhou
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Vincent Mok
- Department of Medicine and Therapeutics, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Yaping Liu
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
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Wu Z, Wu J, Xie C, Wang L, Li H, Zhang M, Fu Z, Lin Y, Qian B, Zhu L, Yu X, He J, Qi W, Wang H. Risk factors for rapid eye-movement sleep-related behavioral disorders (RBDs): A systematic review and a meta-analysis. Gen Hosp Psychiatry 2022; 79:118-127. [PMID: 36375340 DOI: 10.1016/j.genhosppsych.2022.10.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/05/2022] [Accepted: 10/15/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The present study aimed to systematically analyze the risk factors for RBD. METHODS A systematic review and meta-analysis of case-control studies, cohort studies, and cross-sectional studies derived from the articles published in eight electronic databases before December 1, 2021. The primary outcome was the odds ratio (OR) and 95% confidence interval (95% CI), and heterogeneity was quantified using I2. Subgroup analyses and meta-regression were used to explore sources of heterogeneity. Egger's test and sensitivity analysis were performed. The PROSPERO ID number of the present study is CRD42021293942. RESULTS We identified 26 studies (44,230 subjects) among 2022 citations, and 13 factors were considered. Male sex (OR = 1.36, 95% CI = 1.13-1.64), smoking (OR = 1.37, 95% CI: 1.26-1.50), depression (OR = 2.06, 95% CI = 1.66-2.56), antidepressant use (OR = 2.36, 95% CI = 1.98-2.82), duration of neuropsychiatric disorders(OR = 1.43, 95% CI = 1.13-1.73), levodopa equivalent daily dose (LEDD, OR = 60.15, 95% CI = 23.95-96.35) and observable motor dysfunction (OR = 2.43, 95% CI = 0.65-4.22) were associated with a higher risk of RBD. Tertiary education and above (OR = 0.58, 95% CI = 0.35-0.96) was associated with a lower RBD risk. Men (OR = 1.40, 95% CI: 1.10-1.78, I2 = 0%, P = 0.005) and older individual (OR = 2.73, 95% CI: 1.03-4.43, I2 = 60%, P = 0.002) were more likely to have iRBD. CONCLUSION Six modifiable risk factors and one protective factor were associated with RBD. Further research is required to understand the mechanisms and to develop preventative strategies.
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Affiliation(s)
- Zijing Wu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China
| | - Junxin Wu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China
| | - Caixia Xie
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China
| | - Luchun Wang
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Huizi Li
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ming Zhang
- Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Zhiqiang Fu
- Shangrao Third Hospital, Shangrao 334000, China
| | | | - Bing Qian
- Shangrao Third Hospital, Shangrao 334000, China
| | - Limao Zhu
- Shangrao Third Hospital, Shangrao 334000, China
| | - Xin Yu
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jincai He
- Department of Neurology, First Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Wei Qi
- Shangrao Third Hospital, Shangrao 334000, China.
| | - Huali Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China; Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
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15
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Lai H, Li XY, Hu J, Li W, Xu F, Zhu J, He R, Weng H, Chen L, Yu J, Li X, Song Y, Wang X, Wang Z, Li W, Kang R, Li Y, Xu J, Deng Y, Ye Q, Wang C. Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders. Front Neurol 2022; 13:903721. [PMID: 35847229 PMCID: PMC9277017 DOI: 10.3389/fneur.2022.903721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/26/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives To develop and validate a predictive nomogram for idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) in a community population in Beijing, China. Methods Based on the validated RBD questionnaire-Hong Kong (RBDQ-HK), we identified 78 individuals with possible RBD (pRBD) in 1,030 community residents from two communities in Beijing. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify candidate features and develop the nomogram. Internal validation was performed using bootstrap resampling. The discrimination of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and the predictive accuracy was assessed via a calibration curve. Decision curve analysis (DCA) was performed to evaluate the clinical value of the model. Results From 31 potential predictors, 7 variables were identified as the independent predictive factors and assembled into the nomogram: family history of Parkinson's disease (PD) or dementia [odds ratio (OR), 4.59; 95% confidence interval (CI), 1.35–14.45; p = 0.011], smoking (OR, 3.24; 95% CI, 1.84–5.81; p < 0.001), physical activity (≥4 times/week) (OR, 0.23; 95% CI, 0.12–0.42; p < 0.001), exposure to pesticides (OR, 3.73; 95%CI, 2.08–6.65; p < 0.001), constipation (OR, 6.25; 95% CI, 3.58–11.07; p < 0.001), depression (OR, 3.66; 95% CI, 1.96–6.75; p < 0.001), and daytime somnolence (OR, 3.28; 95% CI, 1.65–6.38; p = 0.001). The nomogram displayed good discrimination, with original AUC of 0.885 (95% CI, 0.845–0.925), while the bias-corrected concordance index (C-index) with 1,000 bootstraps was 0.876. The calibration curve and DCA indicated the high accuracy and clinical usefulness of the nomogram. Conclusions This study proposed an effective nomogram with potential application in the individualized prediction for pRBD.
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Affiliation(s)
- Hong Lai
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xu-Ying Li
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Junya Hu
- Department of Neurobiology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wei Li
- Department of Neurobiology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Fanxi Xu
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Junge Zhu
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Raoli He
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Huidan Weng
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Lina Chen
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Jiao Yu
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Xian Li
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yang Song
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xianling Wang
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zhanjun Wang
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wei Li
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Rong Kang
- The Xinjiekou Community Health Service Center, Beijing, China
| | - Yuling Li
- The Xinjiekou Community Health Service Center, Beijing, China
| | - Junjie Xu
- The Qinglonghu Community Health Service Center, Beijing, China
| | - Yuanfei Deng
- Department of Geriatric Disease, Peking University Shenzhen Hospital, Shenzhen, China
- Yuanfei Deng
| | - Qinyong Ye
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
- Qinyong Ye
| | - Chaodong Wang
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
- *Correspondence: Chaodong Wang
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Liu Y, Zhang J, Chau SW, Man Yu MW, Chan NY, Chan JW, Li SX, Huang B, Wang J, Feng H, Zhou L, Mok V, Wing YK. Evolution of Prodromal REM Sleep Behavior Disorder to Neurodegeneration: A Retrospective, Longitudinal Case-control Study. Neurology 2022; 99:e627-e637. [PMID: 35550550 DOI: 10.1212/wnl.0000000000200707] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 03/24/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Individuals with a history of recurrent dream-enactment behaviors, but with subthreshold REM sleep without atonia levels for REM sleep behavior disorder (RBD) diagnosis, are currently classified to have prodromal RBD (pRBD). However, the REM sleep elevated EMG diagnostic cut-off, progression trajectory, and long-term neurodegenerative outcome of pRBD are not well understood. This study aimed to delineate the evolution of REM sleep EMG levels, determine the EMG cut-off score for diagnosing pRBD, and examine the risk for neurodegenerative diseases of pRBD. METHODS This retrospective longitudinal case-control study recruited pRBD patients and age, sex, and follow-up duration matched controls who were free of neurodegenerative disease at baseline in the Sleep Assessment Unit, the Chinese University of Hong Kong from 1997 to 2018. Patients and controls underwent clinical and video-polysomnography assessments at baseline and follow-up(s). REM sleep EMG activity level on mentalis and anterior tibialis (AT) muscles on video-polysomnography at each visit was scored. The diagnosis of neurodegenerative diseases was confirmed by a neurologist. RESULTS 44 patients (67.4 ± 8.2 years old, 6 females) and 44 controls were recruited. The combined REM sleep EMG level on mentalis and AT muscles of pRBD patients significantly increased during 8.2 ± 3.3 years of follow-up (from 19.3 ± 9.7% to 47.3 ± 27.4% with estimated annual increase of 3.9%), yielding 29 pRBD patients (66%) meeting the full-blown RBD diagnostic criteria. Baseline REM sleep mentalis and AT muscles EMG activity of patients who developed full-blown RBD could favourably differentiate pRBD from controls (6.3% for mentalis 'any' and 9.1% for combination of mentalis 'any' and bilateral AT muscles phasic EMG with AUC of 0.88 [0.78-0.98] and 0.97 [0.92-1.00] respectively). pRBD patients had a higher risk for neurodegenerative diseases (9 developed Parkinson's disease and 3 developed dementia with Lewy bodies) when compared to controls (5 developed Alzheimer's disease, adjusted hazard ratio = 2.95, 95% CI = 1.02-8.54). CONCLUSIONS pRBD has a predictive progression in both pathophysiology and neurodegenerative outcome. This finding has significant implications to the nosological status of pRBD, the current REM sleep-related EMG diagnostic criteria, spectrum concept of RBD and future neuroprotective intervention. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that EMG activity during REM sleep predicts the development of prodromal REM sleep behavior disorder.
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Affiliation(s)
- Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Steven Wh Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Mandy Wai Man Yu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Shirley Xin Li
- Department of Psychology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Hongliang Feng
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Vincent Mok
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, Lui Che Wo Institute of Innovative Medicine, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
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