The goal of this observational study is to learn if there are potential digital and plasma-based biomarkers that could help detect, predict, and prognosticate delirium in older adult patients who are admitted to the intensive care unit (ICU). The main question DELTA aims to answer is: Can digital biometrics predict and detect delirium in older adult ICU patients? Do biomarkers of neurodegeneration fluctuate in ICU patients in such a way that delrium could potentially be predicted? Participants admitted o the ICU will wear a digital device to collect biometric data and will have serial plasma samples collected during ICU admission and patients will be also assessed for delirium daily by study staff.
Study Type
OBSERVATIONAL
Enrollment
100
Scripps Green Hospital
La Jolla, California, United States
NOT_YET_RECRUITINGScripps Memorial La Jolla Hospital
San Diego, California, United States
RECRUITINGDelirium
Delirium incidence as assessed by the CAM-ICU instrument.
Time frame: Between enrollment and ICU discharge, up to a maximum of 10 days.
Sleep Duration
Daily total sleep duration as measured by actigraphy
Time frame: Between enrollment and ICU discharge up to a maximum 10 days in the ICU.
Sleep fragmentation
Nightly sleep fragmentation as measured by actigraphy
Time frame: Nightly between enrollment and ICU discharge, up to a maximum of 10 days.
Circadian activity rhythm disruption
Using daily activity/temperature/heart rate, circadian activity rhythms will be assessed for goodness of fit to a cosinor curve.
Time frame: Daily between enrollment and ICU discharge, up to a maximum of 10 days.
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