The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses
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Case Reports Comparative Study Observational Study
Predictive value of the bispectral index for burst suppression on diagnostic electroencephalogram during drug-induced coma.
To determine correlation and predictive value between data obtained with the bispectral index (BIS) and diagnostic electroencephalogram (EEG) in determining degree of burst suppression during drug-induced coma. This study seeks to answer the question: "To what degree can EEG suppression and burst count as measured by diagnostic EEG during drug-induced coma be predicted from data obtained from the BIS such as BIS value, suppression ratio (SR), and burst count?" ⋯ This study is the first to measure correlation and predictive value between BIS monitoring and diagnostic EEG for degree of EEG suppression and burst count in the adult population. Available statistic tests and graphing of variables from BIS and diagnostic EEG show strong correlation and predictive value between both monitoring technologies during drug-induced coma. These support using BIS value, SR, and burst count to predict degree of EEG suppression in real time for titrating metabolic suppression therapy.
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Sleep disturbance in an intensive care unit is a common problem. One of the main factors causing sleep disturbances in an intensive care unit is nocturnal patient care interventions. ⋯ In this study, despite the patients reporting sleep disturbances in the neurosurgical intensive care unit because of nocturnal patient care interventions that prevented them from sleeping, the patients' satisfaction on the given nursing care was not negatively impacted. To reduce sleep disturbances because of nursing care initiatives and promote uninterrupted sleep in the intensive care unit, it can be useful to develop new protocols regulating night care activities.