Detecting delirium using a physiologic monitor

Malissa A. Mulkey, Daniel Erik Everhart, Sunghan Kim, Daiwai Olson, Sonya R. Hardin

Research output: Contribution to journalArticle

Abstract

For the past 2500 years, delirium has been described based on the presence of behavioral symptoms. Each year, as many as 1 in 5 acute care and 80% of critically ill patients develop delirium. The United States spends approximately $164 million annually to combat the associated consequences of delirium. There are no laboratory tools available to assist with diagnosis and ongoing monitoring of delirium; therefore, current national guidelines for psychiatry, geriatrics, and critical care strongly recommend routine bedside screening. Despite the significance, health care teams fail to accurately identify approximately 80% of delirium episodes. The utility of conventional electroencephalogram (EEG) in the diagnosis and monitoring of delirium has been well established. Neurochemical and the associated neuroelectrical changes occur in response to overwhelming stress before behavioral symptoms; therefore, using EEG will improve early delirium identification. Adding EEG analysis to the current routine clinical assessment significantly increases the accuracy of detection. Using newer EEG technology with a limited number of leads that is capable of processing EEG May provide a viable option by reducing the cost and need for expert interpretation. Because EEG monitoring with automatic processing has become technically feasible, it could increase delirium recognition. Electroencephalogram monitoring May also provide identification before symptom onset when nursing interventions would be more effective, likely reducing the long-term ramifications. Having an objective method that nurses can easily use to detect delirium could change the standard of care and provide earlier identification.

Original languageEnglish (US)
Pages (from-to)241-247
Number of pages7
JournalDimensions of Critical Care Nursing
Volume38
Issue number5
DOIs
StatePublished - Sep 1 2019

Fingerprint

Delirium
Electroencephalography
Behavioral Symptoms
Geriatric Psychiatry
Patient Care Team
Critical Care
Standard of Care
Critical Illness
Nursing
Nurses
Guidelines
Technology
Costs and Cost Analysis

Keywords

  • Critical illness
  • Delirium
  • EEG
  • Electroencephalogram
  • Geriatric

ASJC Scopus subject areas

  • Emergency
  • Critical Care

Cite this

Detecting delirium using a physiologic monitor. / Mulkey, Malissa A.; Everhart, Daniel Erik; Kim, Sunghan; Olson, Daiwai; Hardin, Sonya R.

In: Dimensions of Critical Care Nursing, Vol. 38, No. 5, 01.09.2019, p. 241-247.

Research output: Contribution to journalArticle

Mulkey, Malissa A. ; Everhart, Daniel Erik ; Kim, Sunghan ; Olson, Daiwai ; Hardin, Sonya R. / Detecting delirium using a physiologic monitor. In: Dimensions of Critical Care Nursing. 2019 ; Vol. 38, No. 5. pp. 241-247.
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