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Published on: June 21, 2019
Early Electroencephalographic Features Predicting Cerebral Physiology and Functional Outcomes After Pediatric
Jinnie Xie1, Brian T Burrows2, Jordana Fox Kensicki1,2
1Department of Child Health, University of Arizona College of Medicine - Phoenix, 550 E. Van Buren Street , Phoenix, AZ, USA.
Insights
Early electroencephalographic suppression percentage in pediatric traumatic brain injury (TBI) predicts increased intracranial pressure (ICP), poor cerebrovascular pressure reactivity, and unfavorable outcomes. This finding aids in identifying high-risk patients for timely intervention.
Area of Science:
- Neuroscience
- Critical Care Medicine
- Pediatric Neurology
Background:
- Pediatric traumatic brain injury (TBI) poses significant risks, necessitating early identification of patients at risk for secondary brain injury and poor outcomes.
- Electroencephalography (EEG) offers a non-invasive method to assess brain function, but its predictive value for specific physiological parameters and functional outcomes in pediatric TBI requires further elucidation.
Purpose of the Study:
- To determine if early electroencephalographic (EEG) features, recorded within the first 24 hours, can predict intracranial pressure (ICP), cerebrovascular pressure reactivity (PRx), brain tissue oxygenation (PbtO2), and functional outcomes in pediatric TBI patients.
- To investigate the association between specific EEG metrics, such as suppression percentage and alpha/delta power ratio, and key physiological parameters and long-term functional recovery.
Main Methods:
- Retrospective analysis of a prospective dataset of 63 pediatric TBI patients.
- EEG features (seizures, epileptiform discharges, suppression percentage, complexity, power ratios, asymmetry indices) were analyzed within the first 24 hours of monitoring.
- Linear regression models were used to correlate EEG features with ICP, PRx, PbtO2, and Glasgow Outcome Scale Extended-Pediatric Revision (GOSE-Peds) scores at 12 months, controlling for clinical variables like age, GCS, and PRISM III scores.
Main Results:
- Increased EEG suppression percentage within the first 24 hours was a significant predictor of elevated ICP and inefficient cerebrovascular pressure reactivity (PRx).
- Higher suppression percentages (≥5% and ≥45%) were associated with increased ICP and median PRx values (≥0.3), indicating heightened risk.
- Lower Glasgow Coma Scale (GCS) scores, seizures, and increased suppression percentages were independently linked to unfavorable functional outcomes (GOSE-Peds scores ≥5).
Conclusions:
- Early EEG suppression percentage in pediatric TBI patients serves as a valuable non-invasive biomarker.
- This EEG feature can identify individuals at higher risk for intracranial hypertension, impaired cerebrovascular pressure reactivity, and adverse functional outcomes, guiding clinical management.
- While EEG suppression percentage showed predictive value for ICP, PRx, and functional outcomes, no univariate EEG or clinical feature was associated with PbtO2 variations.
Background:
We investigated whether early electroencephalographic features predicted intracranial pressure (ICP), cerebrovascular pressure reactivity, brain tissue oxygenation, and functional outcomes in patients with pediatric traumatic brain injury (TBI).
Methods:
This was a retrospective analysis of a prospective data set of 63 patients with pediatric TBI. Electroencephalographic features were collected in the first 24 h of recording to predict values of ICP, pressure reactivity index (PRx), and brain tissue oxygenation (PbtO2) through the initial 7 days of critical care monitoring, in addition to Glasgow Outcome Scale Extended-Pediatric Revision (GOSE-Peds) scores at 12 months. Electroencephalographic features were averaged over all surface electrodes and included seizures, interictal epileptiform discharges, suppression percentage, complexity, the alpha/delta power ratio, and both absolute asymmetry indices and power in beta (13-20 Hz), alpha (8-13 Hz), theta (4-7 Hz) and delta (0-4 Hz) bands. Demographic data and injury severity scores, such as the Glasgow Coma Scale (GCS) and Pediatric Risk of Mortality III (PRISM III) scores, at presentation were also assessed. Univariate and multiple linear regression with guided stepwise variable selection was used to find combinations of risk factors that best explain variability in ICP, PRx, PbtO2, and GOSE-Peds values, and best fit models were applied to pediatric age strata. We hypothesized that suppression percentage and the alpha/delta power ratio in the first 24 h of recording predict ICP, PRx, PbtO2, and GOSE-Peds values.
Results:
Best subset model selection identified that increased suppression percentage and PRISM III scores predicted increased ICP (R2 = 79%, Akaike information criterion [AIC] = 332.30, root mean square error [RMSE] = 6.62), with suppression percentages < 5% (slope = - 5687.0, p = 0.0001) and ≥ 45% (slope = 9825.9, p = 0.0000) being predictive of dose of intracranial hypertension. When accounting for age and GCS score, increased suppression percentage predicted increased PRx values, suggestive of inefficient cerebrovascular pressure reactivity (R2 = 53%, AIC = 3.93, RMSE = 0.23), with suppression percentages ≥ 5% (p = 0.0033) and ≥ 45% (p = 0.0027) being predictive of median PRx values ≥ 0.3. Lower GCS scores, the presence of seizures, and increased suppression percentages each were independently associated with higher GOSE-Peds scores (R2 = 52%, AIC = 194.04, RMSE = 1.58), suggestive of unfavorable outcomes, with suppression percentages ≥ 5% (p = 0.0005) and ≥ 45% (p = 0.0000) being predictive of GOSE-Peds scores ≥ 5. At the univariate level, no electroencephalographic or clinical feature was associated with differences in PbtO2 values.
Conclusions:
Increased electroencephalographic suppression percentage on the initial day of monitoring may identify patients with pediatric TBI at risk of increased ICP, inefficient cerebrovascular pressure reactivity, and unfavorable outcomes.
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