Predictors of intracranial hypertension in children undergoing ICP monitoring after severe traumatic brain injury

Novel application of the Rotterdam CT score in the prediction of intracranial hypertension following severe traumatic brain injury

OBJECTIVE

Severe traumatic brain injury (TBI) is associated with intracranial hypertension (ICHTN). The Rotterdam CT score (RS) can predict clinical outcomes following TBI, but the relationship between the RS and ICHTN is unknown. The purpose of this study was to investigate clinical and radiological factors that predict ICHTN in patients with severe TBI.

METHODS

The authors performed a single-center retrospective review of patients who, between 2018 and 2021, had an intracranial pressure (ICP) monitor placed following TBI. Radiological and clinical characteristics related to the TBI and ICP monitoring were collected. The main outcome of interest was ICHTN, which was a dichotomous outcome (yes or no) defined on a per-patient basis as an ICP > 22 mm Hg that persisted for at least 5 minutes and required an escalation of treatment. ICHTN included both elevated opening pressure on initial monitor placement and ICP elevations later during hospitalization. Multivariate logistic regression was performed to determine variables associated with ICHTN. Diagnostic accuracy was evaluated using the area under the receiver operating characteristic curve (AUROC).

RESULTS

Seventy patients with severe TBI and an ICP monitor were included in this study. There was a predominance of male patients (94.0%), and the mean patient age was 40 years old. Most patients (67%) had an intraparenchymal catheter placed, whereas 33% of patients had a ventriculostomy catheter placed. In the multivariate logistic regression analysis, the RS was an independent predictor of ICHTN (OR 2.0, 95% CI 1.2-3.5, p = 0.014). No instances of ICHTN were observed in patients with an RS of 2 or less and no sulcal effacement. The AUROC of the RS and sulcal effacement was higher than the AUROC of the RS alone for predicting ICHTN (0.76 vs 0.71, p = 0.003, z-test).

CONCLUSIONS

The RS was predictive of ICHTN in patients with severe TBI, and the diagnostic accuracy of the model was improved with the inclusion of sulcal effacement at the vertex on CT of the head. Patients with a low RS and no sulcal effacement are likely at low risk for the development of ICHTN.

Impact of Intracranial Hypertension on Outcome of Severe Traumatic Brain Injury Pediatric Patients: A 15-Year Single Center Experience

Background: Intracranial hypertension (IC-HTN) is significantly associated with higher risk for an unfavorable outcome in pediatric trauma. Intracranial pressure (ICP) monitoring is widely becoming a standard of neurocritical care for children. Methods: The present study was designed to evaluate influences of IC-HTN on clinical outcomes of pediatric TBI patients. Demographic, injury severity, radiologic characteristics were used as possible predictors of IC-HTN or of functional outcome. Results: A total of 118 pediatric intensive care unit (PICU) patients with severe TBI (sTBI) were included. Among sTBI cases, patients with GCS < 5 had significantly higher risk for IC-HTN and for mortality. Moreover, there was a statistically significant positive correlation between IC-HTN and severity scoring systems. Kaplan−Meier analysis determined a significant difference for good recovery among patients who had no ICP elevations, compared to those who had at least one episode of IC-HTN (log-rank chi-square = 11.16, p = 0.001). A multivariable predictive logistic regression analysis distinguished the ICP-monitored patients at risk for developing IC-HTN. The model finally revealed that higher ISS and Helsinki CT score increased the odds for developing IC-HTN (p < 0.05). Conclusion: The present study highlights the importance of ICP-guided clinical practices, which may lead to increasing percentages of good recovery for children.

Machine Learning-Based Continuous Intracranial Pressure Prediction for Traumatic Injury Patients

Structured Abstract—Objective: Abnormal elevation of intracranial pressure (ICP) can cause dangerous or even fatal outcomes. The early detection of high intracranial pressure events can be crucial in saving lives in an intensive care unit (ICU). Despite many applications of machine learning (ML) techniques related to clinical diagnosis, ML applications for continuous ICP detection or short-term predictions have been rarely reported. This study proposes an efficient method of applying an artificial recurrent neural network on the early prediction of ICP evaluation continuously for TBI patients. Methods: After ICP data preprocessing, the learning model is generated for thirteen patients to continuously predict the ICP signal occurrence and classify events for the upcoming 10 minutes by inputting the previous 20-minutes of the ICP signal. Results: As the overall model performance, the average accuracy is 94.62%, the average sensitivity is 74.91%, the average specificity is 94.83%, and the average root mean square error is approximately 2.18 mmHg. Conclusion: This research addresses a significant clinical problem with the management of traumatic brain injury patients. The machine learning model data enables early prediction of ICP continuously in a real-time fashion, which is crucial for appropriate clinical interventions. The results show that our machine learning-based model has high adaptive performance, accuracy, and efficiency.

Effect of open versus closed endotracheal suctioning on intracranial pressure in severe brain-injured children: Study protocol for a randomized controlled trial

AIM

To compare the effects and safety of open and closed endotracheal suction in children with severe brain injury.

DESIGN

A single-blinding, single-centre randomized controlled trial (RCT).

METHODS

The children with severe brain injury admitted to the intensive care unit (ICU) from 1 September 2020-31 August 2022 will be included. And a total of 172 children with severe brain injury are expected to be included. The intracranial pressure, SpO₂ and heart rate before suctioning, at the end of suction, and at 5 and 10 min after suction, the estimated sputum volume for each suction, the incidence of ventilator-associated pneumonia, the duration of mechanical ventilation and the length of ICU stay will be analysed.

RESULTS

This present RCT has been prospectively registered in China Clinical Trial Registry (http://www.chictr.org.cn, ChiCTR2000030963). This present study is expected to provide reliable evidence to the airway management in children with severe brain injury.