Polysomnographic correlates of sleep disturbances in de novo, drug naïve Parkinson's Disease.
Parkinson’s Disease; Sleep disturbances
Polysomnography
Sleep disorders
Journal
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
ISSN: 1590-3478
Titre abrégé: Neurol Sci
Pays: Italy
ID NLM: 100959175
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
received:
08
07
2021
accepted:
17
09
2021
pubmed:
30
9
2021
medline:
16
3
2022
entrez:
29
9
2021
Statut:
ppublish
Résumé
Sleep disturbances are common non-motor symptoms of Parkinson's Disease (PD). The aim of this study was to investigate the polysomnographic correlates of sleep changes, as investigated by the Parkinson's Disease Sleep Scale-2 (PDSS-2), in a cohort of sixty-two consecutive de novo, drug naïve PD patients (71.40 ± 7.84 y/o). PDSS-2 total score showed a direct correlation with stage shifts (p = 0.008). Fragmented sleep showed an inverse correlation with sleep efficiency (p = 0.012). Insomnia symptoms showed an inverse correlation with wake after sleep onset (p = 0.005) and direct correlation with periodic leg movements (p = 0.006) and stage shift indices (p = 0.003). Motor Symptoms showed a direct correlation with Apnoea-Hypopnoea (AHI; p = 0.02) and awakenings indices (p = 0.003). Dream distressing showed a direct correlation with REM without atonia (RWA, p = 0.042) and an inverse correlation with AHI (p = 0.012). Sleep quality showed an inverse correlation with RWA (p = 0.008). PDSS-2 features are significantly correlated with polysomnography objective findings, thus further supporting its reliability to investigate sleep disturbances in PD patients.
Sections du résumé
BACKGROUND
BACKGROUND
Sleep disturbances are common non-motor symptoms of Parkinson's Disease (PD).
METHODS
METHODS
The aim of this study was to investigate the polysomnographic correlates of sleep changes, as investigated by the Parkinson's Disease Sleep Scale-2 (PDSS-2), in a cohort of sixty-two consecutive de novo, drug naïve PD patients (71.40 ± 7.84 y/o).
RESULTS
RESULTS
PDSS-2 total score showed a direct correlation with stage shifts (p = 0.008). Fragmented sleep showed an inverse correlation with sleep efficiency (p = 0.012). Insomnia symptoms showed an inverse correlation with wake after sleep onset (p = 0.005) and direct correlation with periodic leg movements (p = 0.006) and stage shift indices (p = 0.003). Motor Symptoms showed a direct correlation with Apnoea-Hypopnoea (AHI; p = 0.02) and awakenings indices (p = 0.003). Dream distressing showed a direct correlation with REM without atonia (RWA, p = 0.042) and an inverse correlation with AHI (p = 0.012). Sleep quality showed an inverse correlation with RWA (p = 0.008).
CONCLUSION
CONCLUSIONS
PDSS-2 features are significantly correlated with polysomnography objective findings, thus further supporting its reliability to investigate sleep disturbances in PD patients.
Identifiants
pubmed: 34586541
doi: 10.1007/s10072-021-05622-3
pii: 10.1007/s10072-021-05622-3
pmc: PMC8918173
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2531-2536Subventions
Organisme : italian ministry of health, fondi per la ricerca corrente
ID : 2019/2020
Informations de copyright
© 2021. The Author(s).
Références
Zhang Y, Ren R, Sanford LD, Yang L, Zhou J, Tan L et al (2020) Sleep in Parkinson’s disease : a systematic review and meta-analysis of polysomnographic findings American Academy of Sleep Medicine. Sleep Med Rev 51:101281. https://doi.org/10.1016/j.smrv.2020.101281
doi: 10.1016/j.smrv.2020.101281
pubmed: 32135452
Schrempf W, Brandt MD, Storch A, Reichmann H (2014) Sleep disorders in Parkinson’s Disease. J Parkinsons Dis 4:211–221
doi: 10.3233/JPD-130301
Wetter TC, Collado-seidel V, Pollmächer T, Yassouridis A, Trenkwalder C, Planck M (2000) Sleep and periodic leg movement patterns in drug-free patients with Parkinson’s disease and multiple system atrophy Sleep. J Sleep Res Sleep Med 23:1–7
Lima MMS (2012) Sleep disturbances in Parkinson’s disease : the contribution of dopamine in REM sleep regulation q. Sleep Med Rev 17(5):367–375. https://doi.org/10.1016/j.smrv.2012.10.006
doi: 10.1016/j.smrv.2012.10.006
Sohail S, Yu L, Schneider JA, Bennett DA, Buchman AS, Lim ASP (2017) Sleep fragmentation and Parkinson’s disease pathology in older adults without Parkinson’s disease. Mov Disord 32:1729–1737
doi: 10.1002/mds.27200
Postuma RB, Iranzo A, Hu M, Högl B, Boeve BF, Manni R et al (2019) (2019) Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study. Brain 142:744–759
doi: 10.1093/brain/awz030
Arnaldi D, Chincarini A, Hu MT, Sonka K, Boeve B, Miyamoto T et al (2021) (2021) Dopaminergic imaging and clinical predictors for phenoconversion of REM sleep behaviour disorder. Brain 144:278–287
doi: 10.1093/brain/awaa365
Bugalho P, Ladeira F, Barbosa R, Marto JP, Borbinha C, da Conceição L et al (2021) (2021) Polysomnographic predictors of sleep, motor and cognitive dysfunction progression in Parkinson’s disease: a longitudinal study. Sleep Med 77:205–208. https://doi.org/10.1016/j.sleep.2020.06.020
doi: 10.1016/j.sleep.2020.06.020
pubmed: 32847743
Trenkwalder C, Kohnen R, Högl B, Metta V, Sixel-Döring F, Frauscher B et al (2011) (2011) Parkinson’s disease sleep scale-validation of the revised version PDSS-2. Mov Disord 26:644–652
doi: 10.1002/mds.23476
Latreille V, Carrier J, Lafortune M, Postuma RB, Bertrand J, Panisset M et al (2015) (2015) Neurobiology of aging sleep spindles in Parkinson’s disease may predict the development of dementia. Neurobiol Aging 36:1083–1090. https://doi.org/10.1016/j.neurobiolaging.2014.09.009
doi: 10.1016/j.neurobiolaging.2014.09.009
pubmed: 25442116
Mattioli P, Pardini M, Famà F, Girtler N, Brugnolo A, Orso B et al (2021) Cuneus/precuneus as a central hub for brain functional connectivity of mild cognitive impairment in idiopathic REM sleep behavior patients. Eur J Nucl Med Mol Imaging 48:2834–2845
doi: 10.1007/s00259-021-05205-6
Litvan I, Goldman JG, Tröster AI, Schmand BA, Weintraub D, Petersen RC et al (2012) (2012) Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov Disord Wiley Online Library 27:349–356
doi: 10.1002/mds.24893
Iber C, Ancoli-Israeli S, Chesson A, Quan SF (2007) The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications. American Academy of Sleep Medicine, Westchester
Frauscher B, Iranzo A, Gaig C, Gschliesser V, Guaita M, Raffelseder V et al (2012) Normative EMG values during REM sleep for the diagnosis of REM sleep behavior disorder. Sleep. Oxford University Press 35:835–847
doi: 10.5665/sleep.1886
Arnaldi D, Morbelli S, Brugnolo A, Girtler N, Picco A, Ferrara M et al (2016) Functional neuroimaging and clinical features of drug naive patients with de novo Parkinson’s disease and probable RBD. Parkinsonism Relat Disord. Elsevier 29:47–53
AASM (2014) International classification of sleep disorders, 3rd edn. American Academy of Sleep Medicine, Darien
Yong MH, Fook-Chong S, Pavanni R, Lim LL, Tan EK (2011) Case control polysomnographic studies of sleep disorders in Parkinson’s disease. PLoS One 6(7):e22511
Borreguero DGE, Larrosa O, Bravo M, Jime  (2003) Parkinson’s disease and sleep. Sleep Med Rev 7(2):115–129
doi: 10.1053/smrv.2002.0229
Joy SP, Sinha S, Pal PK, Panda S, Philip M, Taly AB (2014) Alterations in Polysomnographic (PSG) profile in drug-naïve Parkinson’s disease. Ann Indian Acad Neurol 17(3):287
doi: 10.4103/0972-2327.138501
Diederich NJ, Vaillant M, Leischen M, Mancuso G, Golinval S, Nati R et al (2005) (2005) Sleep apnea syndrome in Parkinson’s disease. A case-control study in 49 patients. Mov Disord 20:1413–8