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

Journal: Sleep medicine: X
Published Date:

Abstract

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.

Authors

  • Julia Nekrasova
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
  • Mikhail Kanarskii
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
  • Dmitrii Yankevich
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
  • Andrey Shpichko
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
  • Ilya Borisov
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
  • Pranil Pradhan
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
  • Maria Miroshnichenko
    Federal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.

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