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POLYSOMNOGRAPHIC SLEEP PATTERNS IN DEPRESSIVE, SCHIZOPHRENIC AND HEALTHY SUBJECTS

Andrej Ilanković ; Center of Clinical Neurophysiology & Sleep research, University Psychiatric Clinic, Belgrade, Serbia
Aleksandar Damjanović ; University Psychiatric Clinic, Belgrade, Serbia
Vera Ilanković ; Faculty of Special Education and Rehabilitation, University of Belgrade, Belgrade, Serbia
Branislav Filipović ; Institute of Anatomy, Faculty of Medicine, Belgrade, Serbia
Slavko Janković ; University Neurologic Clinic, Belgrade, Serbia
Nikola Ilanković ; Center of Clinical Neurophysiology & Sleep research, University Psychiatric Clinic, Belgrade, Serbia

Sažetak

Background: Sleep disorders are frequent symptoms described in psychiatric patients with major depression and schizophrenia.
These patients also exhibit changes in sleep architecture measured by polysomnography (PSG) during sleep. The aim of the present
study was to identify potential biomarkers to facilitate diagnosis based on PSG measurements.
Subjects and methods: Thirty (30) patients with schizophrenia, 30 patients with major depression and 30 healthy control
subjects were investigated in the present study. All subjects underwent PSG measurements for a minimum time of 8 hours according
to the criteria of Rechtscahffen & Kales (1968). We tested the potential of multiple sleep variables to predict diagnosis in different
groups by using linear discriminant analysis (LDA).
Results: There were significant differences in PSG variables between healthy control subjects and psychiatric patients (total
sleep time, sleep latency, number of awakenings, time of awakening after sleep onset, REM 1 latency, REM 1 and index of
endogenous periodicity). Importantly, LDA was able to predict the correct diagnosis in 88% of all cases.
Conclusions: The presented analysis showed commonalities and differences in PSG changes in patients with major depressive
disorder and in patients with schizophrenia. Our results underline the potential of PSG measurements to facilitate diagnostic
processes.

Ključne riječi

sleep - polysomnography - schizophrenia – depression - biological markers

Hrčak ID:

162021

URI

https://hrcak.srce.hr/162021

Datum izdavanja:

3.3.2014.

Posjeta: 709 *