Considering Causes for Hypoactive Delirium

Delirium is defined as a mental disorder characterized by an abnormal state of cognition and awareness. Delirium is associated with an annual cost of $350 billion between the United States and Europe. Approximately 80% of delirium cases are either not identified or misdiagnosed. Older adults have the highest incidence due to the consequences of aging. Hypoactive delirium or “quite delirium” is the most common delirium subtype experienced by older adults. Hypoactive delirium, is difficult to recognize and has worse outcomes than other subtypes. If detected, symptoms of hypoactive delirium are frequently dismissed as depression or dementia. Therefore, nurses need heightened vigilance in assessment and identification of hypoactive delirium. This article seeks to assist nurses in identifying hypoactive delirium by outlining factors that increase an individual’s potential for developing hypoactive delirium

Pathophysiology Review

Delirium affects 70% to 80% of intensive care unit patients and is associated with a 10-fold increase in rates of cognitive impairment at discharge and a 3-fold increase in mortality rates. Estimated costs are $152 billion in Medicare charges annually, 17.5 million inpatient days, and 30-day postdischarge costs of$238 726 per patient. Delirium is an acute disorder of attention and global cognitive function characterized by fluctuating symptoms occurring in the face of an underlying organic cause. As patients adapt to physiological stressors, neurotransmitter changes lead to electroencephalogram pattern changes. The ability to compensate for the chemical (neurotransmitter) imbalances is surpassed, causing the behavioral symptomatology we know as delirium. This article seeks to describe the pathophysiology behind the behavior core to the prevention and management of delirium

Methods of identifying delirium: A research protocol

Delirium is an acute disorder affecting up to 80% of intensive care unit (ICU) patients. It is associated with a 10‐fold increase in cognitive impairment, triples the rate of in‐hospital mortality, and costs $164 billion annually. Delirium acutely affects attention and global cognitive function with fluctuating symptoms caused by underlying organic etiologies. Early detection is crucial because the longer a patient experiences delirium the worse it becomes and the harder it is to treat. Currently, identification is through intermittent clinical assessment using standardized tools, like the Confusion Assessment Method for ICU. Such tools work well in clinical research but do not translate well into clinical practice because they are subjective, intermittent and have low sensitivity. As such, healthcare providers using these tools fail to recognize delirium symptoms as much as 80% of the time. Delirium‐related biochemical derangement leads to electrical changes in electroencephalographic (EEG) patterns followed by behavioral signs and symptoms. However, continuous EEG monitoring is not feasible due to cost and need for skilled interpretation. Studies using limited‐lead EEG show large differences between patients with and without delirium while discriminating delirium from other causes. The Ceribell is a limited‐lead device that analyzes EEG. If it is capable of detecting delirium, it would provide an objective physiological monitor to identify delirium before symptom onset. This pilot study was designed to explore relationships between Ceribell and delirium status. Completion of this study will provide a foundation for further research regarding delirium status using the Ceribell data