8 research outputs found

    The human burst suppression electroencephalogram of deep hypothermia

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    Objective: Deep hypothermia induces 'burst suppression' (BS), an electroencephalogram pattern with low-voltage 'suppressions' alternating with high-voltage 'bursts'. Current understanding of BS comes mainly from anesthesia studies, while hypothermia-induced BS has received little study. We set out to investigate the electroencephalogram changes induced by cooling the human brain through increasing depths of BS through isoelectricity. Methods: We recorded scalp electroencephalograms from eleven patients undergoing deep hypothermia during cardiac surgery with complete circulatory arrest, and analyzed these using methods of spectral analysis. Results: Within patients, the depth of BS systematically depends on the depth of hypothermia, though responses vary between patients except at temperature extremes. With decreasing temperature, burst lengths increase, and burst amplitudes and lengths decrease, while the spectral content of bursts remains constant. Conclusions: These findings support an existing theoretical model in which the common mechanism of burst suppression across diverse etiologies is the cyclical diffuse depletion of metabolic resources, and suggest the new hypothesis of local micro-network dropout to explain decreasing burst amplitudes at lower temperatures. Significance: These results pave the way for accurate noninvasive tracking of brain metabolic state during surgical procedures under deep hypothermia, and suggest new testable predictions about the network mechanisms underlying burst suppression.National Institutes of Health (U.S.) (Grant DP2-OD006454)National Institutes of Health (U.S.) (Grant DP1-OD003646)National Institutes of Health (U.S.) (Grant TR01-GM104948

    Characteristics of Falls in the Epilepsy Monitoring Unit: A Retrospective Study

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    Falls are an important adverse event in an epilepsy monitoring unit (EMU). We identified patterns of falls in an EMU and compared them with risk factors for inpatient falls. Twenty-six patients with 26 falls (2.3% of admissions) in the EMU were compared with 50 general neurology inpatients with 56 falls over a 4-year period. In the EMU, the majority (62%) of falls happened during the first 3. days of admission, mostly in the bathroom (74%), in patients with a normal mental status (77%). Most general inpatients fell after the third day (64%), inside their rooms (68%), and had an altered mental status before the fall (68%). All 26 EMU patients were identified as high risk at admission, in spite of which falls were not prevented. We outline these differences between EMU patients and general inpatients and highlight the practice gap in preventing falls in an EMU
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