Study of Sleep and Delirium in the Intensive Care Unit (ICU)
- Conditions
- DeliriumSleep Disorders, Circadian Rhythm
- Registration Number
- NCT01280097
- Lead Sponsor
- University of California, San Francisco
- Brief Summary
The investigators will perform a prospective, cohort study of 100 older intensive care unit (ICU) patients, to investigate the association between sleep disruption and ICU delirium.
- Detailed Description
Delirium and sleep disruption are both common in the intensive care unit (ICU). Delirium is a state of acute confusion, experienced especially by older adults admitted to the hospital, with the potential to adversely impact patients' outcome. Of hospitalized patients, the highest rate of delirium occurs in elderly patients in the ICU. Development of ICU delirium is associated with longer ICU and hospital length of stay, significantly higher risk of functional decline, loss of independent living, and increased mortality. Previous studies have focused on describing the clinical manifestations, risk factors and outcomes of ICU delirium; yet, the contribution of sleep timing, as well as its quality and quantity, to the development of delirium, has not previously been rigorously investigated. Sleep disturbance, including changes in sleep patterns and architecture, and decreased quality of sleep are commonly observed in older subjects. In the ICU, environmental factors (such as noise levels and continuous ambient light) and health care practices (such as frequent performance of medical procedures and tests) further contribute to sleep disruption in the critically ill older patients. Additionally, many sedative and analgesic agents potently suppress slow wave sleep. In preliminary data acquired from ICU patients, the investigators have observed that fragmented sleep is prevalent due to frequent arousals and awakenings, and that sleep architecture is altered with an increase in light sleep, and a decrease in restorative slow wave sleep. Despite the common occurrence of both ICU delirium and sleep disruption, it is not known whether sleep disruption increases the risk of developing delirium in the critically ill older patients. In this exploratory study, the investigators propose to test the hypothesis that the severity and duration of sleep disruption is an independent predictor of the onset and duration of ICU delirium in a cohort of older ICU patients. The investigators will measure sleep disruption using continuous processed electroencephalography and measure ICU delirium using a well-validated and reliable standardized instrument. Results from this study will inform the contribution of sleep disruption in the development of ICU delirium in the older critically ill patients.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 57
- patients ≥ 45 years of age admitted to the ICU, and remain for at least 24 hours.
- status post craniotomy,
- moribund state with planned withdrawal of life support,
- severe dementia,
- substantial hearing impairment or inability to understand English.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method ICU delirium Daily measurement during study ICU delirium will be measured using the CAM-ICU. This measurement will be done twice daily.
- Secondary Outcome Measures
Name Time Method Intensive Care Unit (ICU) length of stay Assessed at discharge from ICU The day of admission to the ICU until the day of discharge from the ICU.
Hospital Length of Stay Assesses at discharge from hospital This is the persons length of stay in the hospital, from admission date until discharge date.
ICU mortality Assessed at discharge from ICU We will collect data on mortality during the stay in the Intensive Care Unit
Hospital mortality Assessed at discharge from hospital We will assess the mortality during the hospital stay.
One year mortality Assessed at 1 year from admission to hospital We will assess mortality at one year from hospital admission.
Trial Locations
- Locations (1)
University of California, San Francisco
🇺🇸San Francisco, California, United States