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Abstract Details

EEG Correlates of Positive Delirium Screen in Critically Ill Children
Epilepsy/Clinical Neurophysiology (EEG)
P3 - Poster Session 3 (11:45 AM-12:45 PM)
9-014

This study aims to determine whether EEG can serve as an objective biomarker of delirium.

 

Delirium increases morbidity in critically ill children. Current screening tools, e.g. Cornell Assessment of Pediatric Delirium (CAPD), use subjective assessments.

This single-center retrospective study included critically ill children (>28 days and <18 years) without prior neurologic injury with a positive (CAPD ³9, CAPD+) or negative (CAPD<9, CAPD-) delirium screen at the time of EEG monitoring. EEG features and outcome metrics were assessed for associations with CAPD screen. Descriptive statistics were used.

Ninety-three patients met inclusion criteria. Median age was 4.36 years (interquartile range (IQR) 0.81-9.66). Sixty-eight patients were CAPD+ and 25 were CAPD-. Normal background activity was seen in 21% of CAPD+ vs 56% of CAPD- children (p=0.002). Posterior dominant rhythm was present in 22% of CAPD+ vs 64% of CAPD- children (p<10-3). Normal sleep features were observed in 37% of CAPD+ vs 76% of CAPD- children (p=0.001). Generalized slowing and absence of sleep features occurred more frequently in CAPD+ than in CAPD- children (59% vs 20%, p=0.001; 40% vs 12%, p=0.01, respectively). Attenuated featureless activity, sporadic epileptiform discharges and focal slowing occurred only in CAPD+ children (15%, p=0.06; 18%, p=0.03; 75% p=0.04, respectively).

CAPD+ children had worse neurologic outcomes (discharge PCPC score >2) than CAPD- children (37% vs 0%, p<10-4). PICU LOS was longer in CAPD+ than in CAPD- children (5.5 days (3-23) vs 2 days (1-3); p<10-4). More CAPD+ than CAPD- children were discharged to a rehabilitation facility or another hospital (32% vs 4%, p=0.006).

Specific EEG features in critically ill children are associated with a positive or negative delirium screen. Additionally, a positive delirium screen is associated with worse outcomes. This data suggests EEG features may help identify delirium and perhaps facilitate its early prevention in critically ill children.

Authors/Disclosures
Anastasia Chajecki
PRESENTER
Miss Chajecki has nothing to disclose.
Julia Keenan Julia Keenan has nothing to disclose.
Nada Mallick, MD Dr. Mallick has nothing to disclose.
Dana B. Harrar, MD The institution of Dr. Harrar has received research support from NIH. Dr. Harrar has received publishing royalties from a publication relating to health care.
Michael Shoykhet, MD, PhD The institution of Dr. Shoykhet has received research support from NIH.