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Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness

Analysis of sleep patterns in patients with chronic disorders of consciousness attracts attention from the perspective of the diagnosis and prognosis of the disease as well as the treatment. Yet, the very existence of normal sleep in patients in a vegetative or minimally conscious state is still a m...

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Autores principales: Nekrasova, Julia, Kanarskii, Mikhail, Yankevich, Dmitrii, Shpichko, Andrey, Borisov, Ilya, Pradhan, Pranil, Miroshnichenko, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041117/
https://www.ncbi.nlm.nih.gov/pubmed/33870176
http://dx.doi.org/10.1016/j.sleepx.2020.100024
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author Nekrasova, Julia
Kanarskii, Mikhail
Yankevich, Dmitrii
Shpichko, Andrey
Borisov, Ilya
Pradhan, Pranil
Miroshnichenko, Maria
author_facet Nekrasova, Julia
Kanarskii, Mikhail
Yankevich, Dmitrii
Shpichko, Andrey
Borisov, Ilya
Pradhan, Pranil
Miroshnichenko, Maria
author_sort Nekrasova, Julia
collection PubMed
description Analysis of sleep patterns in patients with chronic disorders of consciousness attracts attention from the perspective of the diagnosis and prognosis of the disease as well as the treatment. Yet, the very existence of normal sleep in patients in a vegetative or minimally conscious state is still a matter of debate. This paper presents a retrospective analysis of overnight polysomnographic records of 40 patients with chronic disorders of consciousness aimed at the possibility of establishing the connection between the degree of impaired consciousness and the presence and organization of polysomnographic graphical elements, associated with stages of sleep in normal individuals. Specialized software based on expert system artificial intelligence was developed to calculate indices and parameters that characterize sleep. It was shown that a remarkably low percentage of patients have a rhythmic change in sleep patterns, what indicates the prevalence of violations of the Sleep–Wake cycle in a vegetative state and minimally conscious state. Sleep spindles were not found in records, however, the absence can originate from the limitations of polysomnographic method applied to patients with severe brain damage. A positive correlation between the rhythmic change of sleep patterns, better outcome and CRS-R scores was confirmed.
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spelling pubmed-80411172021-04-15 Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness Nekrasova, Julia Kanarskii, Mikhail Yankevich, Dmitrii Shpichko, Andrey Borisov, Ilya Pradhan, Pranil Miroshnichenko, Maria Sleep Med X Original Article Analysis of sleep patterns in patients with chronic disorders of consciousness attracts attention from the perspective of the diagnosis and prognosis of the disease as well as the treatment. Yet, the very existence of normal sleep in patients in a vegetative or minimally conscious state is still a matter of debate. This paper presents a retrospective analysis of overnight polysomnographic records of 40 patients with chronic disorders of consciousness aimed at the possibility of establishing the connection between the degree of impaired consciousness and the presence and organization of polysomnographic graphical elements, associated with stages of sleep in normal individuals. Specialized software based on expert system artificial intelligence was developed to calculate indices and parameters that characterize sleep. It was shown that a remarkably low percentage of patients have a rhythmic change in sleep patterns, what indicates the prevalence of violations of the Sleep–Wake cycle in a vegetative state and minimally conscious state. Sleep spindles were not found in records, however, the absence can originate from the limitations of polysomnographic method applied to patients with severe brain damage. A positive correlation between the rhythmic change of sleep patterns, better outcome and CRS-R scores was confirmed. Elsevier 2020-08-28 /pmc/articles/PMC8041117/ /pubmed/33870176 http://dx.doi.org/10.1016/j.sleepx.2020.100024 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Nekrasova, Julia
Kanarskii, Mikhail
Yankevich, Dmitrii
Shpichko, Andrey
Borisov, Ilya
Pradhan, Pranil
Miroshnichenko, Maria
Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
title Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
title_full Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
title_fullStr Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
title_full_unstemmed Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
title_short Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
title_sort retrospective analysis of sleep patterns in patients with chronic disorders of consciousness
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041117/
https://www.ncbi.nlm.nih.gov/pubmed/33870176
http://dx.doi.org/10.1016/j.sleepx.2020.100024
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