Sleep Disruption in Post-operative Patients in the Neurocritical Care Unit
| Status: | Terminated |
|---|---|
| Conditions: | Insomnia Sleep Studies |
| Therapuetic Areas: | Psychiatry / Psychology |
| Healthy: | No |
| Age Range: | 18 - 100 |
| Updated: | 4/17/2018 |
| Start Date: | December 2016 |
| End Date: | March 26, 2018 |
The role of sleep in patients admitted to the intensive care unit is an emerging field of
research. There have been studies that show patients in the ICU have poor sleep including
sleep fragmentation, multiple arousals, decreased stage 3 sleep and reduced REM sleep (1, 2,
3). Causes of poor sleep in the ICU include severity of illness, abnormal light exposure, and
frequent arousals for medical care. Not only does poor sleep contribute to reduced cognitive
function and delirium, but there are also implications for the immune system function and
wound healing (4). Polysomnography is regarded as the gold standard for sleep studies,
however it has limited utility in the ICU population (5) and alternative methods of sleep
analysis need to be investigated to better understand the underlying physiologic mechanisms
and subsequent cognitive effects.
research. There have been studies that show patients in the ICU have poor sleep including
sleep fragmentation, multiple arousals, decreased stage 3 sleep and reduced REM sleep (1, 2,
3). Causes of poor sleep in the ICU include severity of illness, abnormal light exposure, and
frequent arousals for medical care. Not only does poor sleep contribute to reduced cognitive
function and delirium, but there are also implications for the immune system function and
wound healing (4). Polysomnography is regarded as the gold standard for sleep studies,
however it has limited utility in the ICU population (5) and alternative methods of sleep
analysis need to be investigated to better understand the underlying physiologic mechanisms
and subsequent cognitive effects.
The importance of sleep for patients in the intensive care unit (ICU) has been well
documented. Research has shown that the ICU has multiple risk factors for poor sleep, and
that this has multiple effects on patient outcomes. Further research is needed to better
define the best tool to use for measuring sleep stages in ICU patients. Furthermore, there is
very limited data comparing sleep interruption in ICU patients and the effects on sleep
architecture and cognition.
Hypothesis 1a: The number of episodes of rapid eye movements (REM), stage 1, stage 2, stage 3
sleep, sleep spindles, and alpha activity will increase while the total duration of activity
and the duration of episodes will decline in the postoperative neurologic critical care unit
(NCCU) with neurological checks every two hours over a 12 hour period of recording as
compared to every 6 hours.
Hypothesis 1b: As the number of episodes of REM, stage 1, stage 2, stage 3 sleep, sleep
spindles, and alpha activity increase while the total duration of activity and the duration
of episodes decline in the postoperative NCCU with neurological checks every two hours over a
12 hour period of recording as compared to every 6 hours.
Hypothesis 2: The number of episodes, the total duration, and the interval durations, of REM,
stage 1, stage 2, stage 3 sleep, sleep spindles, and alpha activity will be identical in the
automated recordings as compared to human reading by a sleep trained Neurologist.
Hypothesis 3: The group with awakenings every two hours will report more objective sleepiness
and perform psychomotor visual task (PVT) with increased time and reduced performance.
Performing this study will allow for validation of an automated EEG system for the
interpretation of sleep. If this tool is a reliable method of sleep interpretation, it may be
expanded to a larger population of ICU patients for further research on the effects of sleep
deprivation. Additionally, it will add prospective data to the literature regarding the
psychomotor effects of increased sleep interruption in ICU patients.
2. Objectives (include all primary and secondary objectives)
1. Detect the effects of disrupted sleep resulting from frequent neurological exams in the
NCCU in post-surgical patients. The investigators will use an automated EEG detection
system used in patients with continuous EEG (cEEG) monitoring to detect duration of
sleep related EEG brain activity, number of intervals of activation, and the duration of
the intervals for sleep activities including: REM, Stage 1, stage 2, and stage 3 sleep,
sleep spindles, and alpha activity.
2. The investigators will study the precision, accuracy and bias of the automated algorithm
by comparing it to the interpretations of two sleep trained neurologists who will read
these recordings in a
blinded manner independently of one another. The investigators will select records to
validate the automatic scorer including the identification and duration of all aspects
of the cEEG sleep recording during the first four hours of sleep recording for each
patient. The investigators will compare the accuracy of identification and measured
duration of REM, Stage one, stage two, stage 3 sleep, sleep spindles, and alpha
activity.
3. Subjective measure of sleep assessment using the Richards-Campbell Sleep Questionnaire
(RCSG).
4. Quantitative assessment of alertness using a psychomotor vigilance task (PVT).
documented. Research has shown that the ICU has multiple risk factors for poor sleep, and
that this has multiple effects on patient outcomes. Further research is needed to better
define the best tool to use for measuring sleep stages in ICU patients. Furthermore, there is
very limited data comparing sleep interruption in ICU patients and the effects on sleep
architecture and cognition.
Hypothesis 1a: The number of episodes of rapid eye movements (REM), stage 1, stage 2, stage 3
sleep, sleep spindles, and alpha activity will increase while the total duration of activity
and the duration of episodes will decline in the postoperative neurologic critical care unit
(NCCU) with neurological checks every two hours over a 12 hour period of recording as
compared to every 6 hours.
Hypothesis 1b: As the number of episodes of REM, stage 1, stage 2, stage 3 sleep, sleep
spindles, and alpha activity increase while the total duration of activity and the duration
of episodes decline in the postoperative NCCU with neurological checks every two hours over a
12 hour period of recording as compared to every 6 hours.
Hypothesis 2: The number of episodes, the total duration, and the interval durations, of REM,
stage 1, stage 2, stage 3 sleep, sleep spindles, and alpha activity will be identical in the
automated recordings as compared to human reading by a sleep trained Neurologist.
Hypothesis 3: The group with awakenings every two hours will report more objective sleepiness
and perform psychomotor visual task (PVT) with increased time and reduced performance.
Performing this study will allow for validation of an automated EEG system for the
interpretation of sleep. If this tool is a reliable method of sleep interpretation, it may be
expanded to a larger population of ICU patients for further research on the effects of sleep
deprivation. Additionally, it will add prospective data to the literature regarding the
psychomotor effects of increased sleep interruption in ICU patients.
2. Objectives (include all primary and secondary objectives)
1. Detect the effects of disrupted sleep resulting from frequent neurological exams in the
NCCU in post-surgical patients. The investigators will use an automated EEG detection
system used in patients with continuous EEG (cEEG) monitoring to detect duration of
sleep related EEG brain activity, number of intervals of activation, and the duration of
the intervals for sleep activities including: REM, Stage 1, stage 2, and stage 3 sleep,
sleep spindles, and alpha activity.
2. The investigators will study the precision, accuracy and bias of the automated algorithm
by comparing it to the interpretations of two sleep trained neurologists who will read
these recordings in a
blinded manner independently of one another. The investigators will select records to
validate the automatic scorer including the identification and duration of all aspects
of the cEEG sleep recording during the first four hours of sleep recording for each
patient. The investigators will compare the accuracy of identification and measured
duration of REM, Stage one, stage two, stage 3 sleep, sleep spindles, and alpha
activity.
3. Subjective measure of sleep assessment using the Richards-Campbell Sleep Questionnaire
(RCSG).
4. Quantitative assessment of alertness using a psychomotor vigilance task (PVT).
Inclusion Criteria:
- post operative back patients in the NCCU with no history of brain injury
Exclusion Criteria:
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