Continuous and non-invasive measurement of intracranial pressure (ICP) in traumatic brain injury (TBI) is important to recognize increased ICP (IICP), which can reduce treatment delays. The purpose of this study was to develop an electroencephalogram (EEG)-based prediction model for IICP in a porcine TBI model. Thirty swine were anaesthetized and underwent IICP by inflating a Foley catheter in the intracranial space. Single-channel EEG data were collected every 6 min in 10 mmHg increments in the ICP from baseline to 50 mmHg. We developed EEG-based models to predict the IICP (equal or over 25 mmHg) using four algorithms: logistic regression (LR), naive Bayes (NB), support vector machine (SVM), and random forest (RF). We assessed the performance of each model based on the accuracy, sensitivity, specificity, and AUC values. The accuracy of each prediction model for IICP was 0.773 for SVM, 0.749 for NB, 0.746 for RF, and 0.706 for LR. The AUC of each model was 0.860 for SVM, 0.824 for NB, 0.802 for RF, and 0.748 for LR. We developed a machine learning prediction model for IICP using single-channel EEG signals in a swine TBI experimental model. The SVM model showed good predictive power with the highest AUC value.
Background:
The effect of initial epinephrine administration time from cardiac arrest on cerebral perfusion pressure (CePP) during CPR is controversial. The purpose of this study was to evaluate the association between initial epinephrine administration time and CePP in a porcine cardiac arrest model.
Methods:
Initial administration time of epinephrine was divided into 3 groups based on time after inducing ventricular fibrillation (VF): 5 minutes (early group), 10 minutes (intermediate group), and 15 minutes (delayed group). Twenty-four pigs were randomly assigned to each group. After 4 minutes of untreated ventricular fibrillation, 2 cycles of BLS (BLS1 and BLS2 phase) and 10 cycles of ACLS (ACLS1~10 phase) were conducted. Macrovascular circulation (CePP) and microvascular circulation using laser doppler flowmetry presented as a fraction of the baseline flow (f-LDF) were measured. Linear mixed model was used to measure median difference in CePP and f-LDF between groups.
Results:
A total of 22 pigs were analyzed. Early group showed higher and earlier peak of CePP and f-LDF compared to those of intermediate or delayed groups. There was a significant group by phase interaction in CePP where the early group showed a higher CePP on earlier phase. (Early group: median 38.2 [95% confidence intervals 30.7-50.5] mmHg at BLS 2 phase, intermediate group: 27.1 [14.1-35.7] mmHg at ACLS1 phase, late group: 12.2 [2.2-34.9] mmHg at ACLS 4 phase), p< 0.001). There was no significant group by phase interaction in f-LDF; however, there was a tendency of decreased peak and delayed reach to peak with time. (Early group: median 5.7 [95% confidence interval 3.5-7.8] at ACLS 2 phase, intermediate group: 3.6 [1.5-5.1] at ACLS 4 phase, late group: 2.2 [0.9-3.3] at ACLS 6 phase, p =0.93).
Conclusion:
In this VF cardiac arrest porcine study, the early administration of epinephrine group showed higher and earlier peak of CePP and f-LDF compared to those of the intermediate and delayed groups.
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