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Published in: Neurological Sciences 4/2022

Open Access 01-04-2022 | Insomnia | Original Article

Polysomnographic correlates of sleep disturbances in de novo, drug naïve Parkinson’s Disease

Authors: Beatrice Orso, Francesco Famà, Laura Giorgetti, Pietro Mattioli, Andrea Donniaquio, Nicola Girtler, Andrea Brugnolo, Federico Massa, Enrico Peira, Matteo Pardini, Silvia Morbelli, Flavio Nobili, Dario Arnaldi

Published in: Neurological Sciences | Issue 4/2022

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Abstract

Background

Sleep disturbances are common non-motor symptoms of Parkinson’s Disease (PD).

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

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

PDSS-2 features are significantly correlated with polysomnography objective findings, thus further supporting its reliability to investigate sleep disturbances in PD patients.
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Metadata
Title
Polysomnographic correlates of sleep disturbances in de novo, drug naïve Parkinson’s Disease
Authors
Beatrice Orso
Francesco Famà
Laura Giorgetti
Pietro Mattioli
Andrea Donniaquio
Nicola Girtler
Andrea Brugnolo
Federico Massa
Enrico Peira
Matteo Pardini
Silvia Morbelli
Flavio Nobili
Dario Arnaldi
Publication date
01-04-2022
Publisher
Springer International Publishing
Published in
Neurological Sciences / Issue 4/2022
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-021-05622-3

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