Subarachnoid hemorrhage prevalence and its association with short-term outcome in pediatric severe traumatic brain injury

Cellular and molecular mechanisms in vascular repair after traumatic brain injury: a narrative review

Traumatic brain injury (TBI) disrupts normal brain function and is associated with high morbidity and fatality rates. TBI is characterized as mild, moderate or severe depending on its severity. The damage may be transient and limited to the dura matter, with only subtle changes in cerebral parenchyma, or life-threatening with obvious focal contusions, hematomas and edema. Blood vessels are often injured in TBI. Even in mild TBI, dysfunctional cerebral vascular repair may result in prolonged symptoms and poor outcomes. Various distinct types of cells participate in vascular repair after TBI. A better understanding of the cellular response and function in vascular repair can facilitate the development of new therapeutic strategies. In this review, we analyzed the mechanism of cerebrovascular impairment and the repercussions following various forms of TBI. We then discussed the role of distinct cell types in the repair of meningeal and parenchyma vasculature following TBI, including endothelial cells, endothelial progenitor cells, pericytes, glial cells (astrocytes and microglia), neurons, myeloid cells (macrophages and monocytes) and meningeal lymphatic endothelial cells. Finally, possible treatment techniques targeting these unique cell types for vascular repair after TBI are discussed.

Initial CT Imaging Predicts Mortality in Severe Traumatic Brain Injuries in Pediatric Population-A Systematic Review and Meta-Analysis

The purpose of this systematic review was to analyze evidence based on existing studies on the ability of initial CT imaging to predict mortality in severe traumatic brain injuries (TBIs) in pediatric patients. An experienced librarian searched for all existing studies based on the inclusion and exclusion criteria. The studies were screened by two blinded reviewers. Of the 3277 studies included in the search, data on prevalence of imaging findings and mortality rate could only be extracted from 22 studies. A few of those studies had patient-specific data relating specific imaging findings to outcome, allowing the data analysis, calculation of the area under the curve (AUC) and receiver operating characteristic (ROC), and generation of a forest plot for each finding. The data were extracted to calculate the sensitivity (SN), specificity (SP), positive predictive value (PPV), negative predicted value (NPV), AUC, and ROC for extradural hematoma (EDH), subdural hematoma (SDH), traumatic subarachnoid hemorrhage (tSAH), skull fractures, and edema. There were a total of 2219 patients, 747 females and 1461 males. Of the total, 564 patients died and 1651 survived; 293 patients had SDH, 76 had EDH, 347 had tSAH, 244 had skull fractures, and 416 had edema. The studies included had high bias and lower grade of evidence. Out of the different CT scan findings, brain edema had the highest SN, PPV, NPV, and AUC. EDH had the highest SP to predict in-hospital mortality.

Pediatric severe traumatic brain injury mortality prediction determined with machine learning-based modeling

INTRODUCTION

Severe traumatic brain injury (sTBI) is a leading cause of mortality in children. As clinical prognostication is important in guiding optimal care and decision making, our goal was to create a highly discriminative sTBI outcome prediction model for mortality.

METHODS

Machine learning and advanced analytics were applied to the patient admission variables obtained from a comprehensive pediatric sTBI database. Demographic and clinical data, head CT imaging abnormalities and blood biochemical data from 196 children and adolescents admitted to a tertiary pediatric intensive care unit (PICU) with sTBI were integrated using feature ranking by way of a forest of randomized decision trees, and a model was generated from a reduced number of admission variables with maximal ability to discriminate outcome.

RESULTS

In total, 36 admission variables were analyzed using feature ranking with variable weighting to determine their predictive importance for mortality following sTBI. Reduction analysis utilizing Borata feature selection resulted in a parsimonious six-variable model with a mortality classification accuracy of 82%. The final admission variables that predicted mortality were: partial thromboplastin time (22%); motor Glasgow Coma Scale (21%); serum glucose (16%); fixed pupil(s) (16%); platelet count (13%) and creatinine (12%). Using only these six admission variables, a t-distributed stochastic nearest neighbor embedding algorithm plot demonstrated visual separation of sTBI patients that lived or died, with high mortality predictive ability of this model on the validation dataset (AUC = 0.90) which was confirmed with a conventional area-under-the-curve statistical approach on the total dataset (AUC = 0.91; P < 0.001).

CONCLUSIONS

Machine learning-based modeling identified the most clinically important prognostic factors resulting in a pragmatic, high performing prognostic tool for pediatric sTBI with excellent discriminative ability to predict mortality risk with 82% classification accuracy (AUC = 0.90). After external multicenter validation, our prognostic model might help to guide treatment decisions, aggressiveness of therapy and prepare family members and caregivers for timely end-of-life discussions and decision making.

LEVEL OF EVIDENCE

III; Prognostic.

Development of a nomogram to predict the outcome of moderate or severe pediatric traumatic brain injury

OBJECTIVES:

Traumatic brain injury (TBI) in children has become the major cause of mortality and morbidity in Thailand that has had an impact with economic consequences. This study aimed to develop and internally validate a nomogram for a 6-month follow-up outcome prediction in moderate or severe pediatric TBI.

METHODS:

This retrospective cohort study involved 104 children with moderate or severe TBI. Various clinical variables were reviewed. The functional outcome was assessed at the hospital discharge and at a 6-month follow-up based on the King's Outcome Scale for Childhood Head Injury classification. Predictors associated with the 6-month follow-up outcome were developed from the predictive model using multivariable binary logistic regression to estimate the performance and internal validation. A nomogram was developed and presented as a predictive model.

RESULTS:

The mean age of the samples was 99.75 months (standard deviation 59.65). Road traffic accidents were the highest injury mechanism at 84.6%. The predictive model comprised Glasgow Coma Scale of 3–8 (odds ratio [OR]: 16.07; 95% confidence interval [CI]: 1.27–202.42), pupillary response in one eye (OR 7.74; 95% CI 1.26–47.29), pupillary nonresponse in both eyes (OR: 57.74; 95% CI: 2.28–145.81), hypotension (OR: 19.54; 95%: CI 3.23–117.96), and subarachnoid hemorrhage (OR: 9.01, 95% CI: 1.33–60.80). The concordance statistic index (C-index) of the model's discrimination was 0.931, while the C-index following the bootstrapping and 5-cross validation were 0.920 and 0.924, respectively.

CONCLUSIONS:

The performance of a clinical nomogram for predicting 6-month follow-up outcomes in pediatric TBI patients was assessed at an excellent level. However, further external validation would be required for the confirmation of the tool's performance.

Predictors of In-Hospital Mortality for Road Traffic Accident-Related Severe Traumatic Brain Injury

(1) Background: Road traffic accidents (RTAs) are the leading cause of pediatric traumatic brain injury (TBI) and are associated with high mortality. Few studies have focused on RTA-related pediatric TBI. We conducted this study to analyze the clinical characteristics of RTA-related TBI in children and to identify early predictors of in-hospital mortality in children with severe TBI. (2) Methods: In this 15-year observational cohort study, a total of 618 children with RTA-related TBI were enrolled. We collected the patients' clinical characteristics at the initial presentations in the emergency department (ED), including gender, age, types of road user, the motor components of the Glasgow Coma Scale (mGCS) score, body temperature, blood pressure, blood glucose level, initial prothrombin time, and the intracranial computed tomography (CT) Rotterdam score, as potential mortality predictors. (3) Results: Compared with children exhibiting mild/moderate RTA-related TBI, those with severe RTA-related TBI were older and had a higher mortality rate (p < 0.001). The in-hospital mortality rate for severe RTA-related TBI children was 15.6%. Compared to children who survived, those who died in hospital had a higher incidence of presenting with hypothermia (p = 0.011), a lower mGCS score (p < 0.001), a longer initial prothrombin time (p < 0.013), hyperglycemia (p = 0.017), and a higher Rotterdam CT score (p < 0.001). Multivariate analyses showed that the mGCS score (adjusted odds ratio (OR): 2.00, 95% CI: 1.28-3.14, p = 0.002) and the Rotterdam CT score (adjusted OR: 2.58, 95% CI: 1.31-5.06, p = 0.006) were independent predictors of in-hospital mortality. (4) Conclusions: Children with RTA-related severe TBI had a high mortality rate. Patients who initially presented with hypothermia, a lower mGCS score, a prolonged prothrombin time, hyperglycemia, and a higher Rotterdam CT score in brain CT analyses were associated with in-hospital mortality. The mGCS and the Rotterdam CT scores were predictive of in-hospital mortality independently.

Application of machine learning to predict the outcome of pediatric traumatic brain injury

PURPOSE

Traumatic brain injury (TBI) generally causes mortality and disability, particularly in children. Machine learning (ML) is a computer algorithm, applied as a clinical prediction tool. The present study aims to assess the predictability of ML for the functional outcomes of pediatric TBI.

METHODS

A retrospective cohort study was performed targeting children with TBI who were admitted to the trauma center of southern Thailand between January 2009 and July 2020. The patient was excluded if he/she (1) did not undergo a CT scan of the brain, (2) died within the first 24 h, (3) had unavailable complete medical records during admission, or (4) was unable to provide updated outcomes. Clinical and radiologic characteristics were collected such as vital signs, Glasgow coma scale score, and characteristics of intracranial injuries. The functional outcome was assessed using the King's Outcome Scale for Childhood Head Injury, which was thus dichotomized into favourable outcomes and unfavourable outcomes: good recovery and moderate disability were categorized as the former, whereas death, vegetative state, and severe disability were categorized as the latter. The prognostic factors were estimated using traditional binary logistic regression. By data splitting, 70% of data were used for training the ML models and the remaining 30% were used for testing the ML models. The supervised algorithms including support vector machines, neural networks, random forest, logistic regression, naive Bayes and k-nearest neighbor were performed for training of the ML models. Therefore, the ML models were tested for the predictive performances by the testing datasets.

RESULTS

There were 828 patients in the cohort. The median age was 72 months (interquartile range 104.7 months, range 2-179 months). Road traffic accident was the most common mechanism of injury, accounting for 68.7%. At hospital discharge, favourable outcomes were achieved in 97.0% of patients, while the mortality rate was 2.2%. Glasgow coma scale score, hypotension, pupillary light reflex, and subarachnoid haemorrhage were associated with TBI outcomes following traditional binary logistic regression; hence, the 4 prognostic factors were used for building ML models and testing performance. The support vector machine model had the best performance for predicting pediatric TBI outcomes: sensitivity 0.95, specificity 0.60, positive predicted value 0.99, negative predictive value 1.0; accuracy 0.94, and area under the receiver operating characteristic curve 0.78.

CONCLUSION

The ML algorithms of the present study have a high sensitivity; therefore they have the potential to be screening tools for predicting functional outcomes and counselling prognosis in general practice of pediatric TBIs.

Development of a Mortality Prediction Tool in Pediatric Severe Traumatic Brain Injury

Severe traumatic brain injury (sTBI) is a leading cause of pediatric death, yet outcomes remain difficult to predict. The goal of this study was to develop a predictive mortality tool in pediatric sTBI. We retrospectively analyzed 196 patients with sTBI (pre-sedation Glasgow Coma Scale [GCS] score <8 and head Maximum Abbreviated Injury Scale (MAIS) score >4) admitted to a pediatric intensive care unit (PICU). Overall, 56 patients with sTBI (29%) died during PICU stay. Of the survivors, 88 (63%) were discharged home, and 52 (37%) went to an acute care or rehabilitation facility. Receiver operating characteristic (ROC) curve analyses of admission variables showed that pre-sedation GCS score, Rotterdam computed tomography (CT) score, and partial thromboplastin time (PTT) were fair predictors of PICU mortality (area under the curve [AUC] = 0.79, 0.76, and 0.75, respectively; p < 0.001). Cutoff values best associated with PICU mortality were pre-sedation GCS score <5 (sensitivity = 0.91, specificity = 0.54), Rotterdam CT score >3 (sensitivity = 0.84, specificity = 0.53), and PTT >34.5 sec (sensitivity = 0.69 specificity = 0.67). Combining pre-sedation GCS score, Rotterdam CT score, and PTT in ROC curve analysis yielded an excellent predictor of PICU mortality (AUC = 0.91). In summary, pre-sedation GCS score (<5), Rotterdam CT score (>3), and PTT (>34.5 sec) obtained on hospital admission were fair predictors of PICU mortality, ranked highest to lowest. Combining these three admission variables resulted in an excellent pediatric sTBI mortality prediction tool for further prospective validation.

Neuroprotective effects of Hemocoagulase Agkistrodon on experimental traumatic brain injury

Traumatic brain injury (TBI) is the major cause of disability and mortality among young people and is associated with neurodegenerative diseases. However, the available clinical options have limited effectiveness. Here, we investigated the neuroprotective effect of Hemocoagulase Agkistrodon (HCA), a thrombin-like enzyme (TLE) isolated and purified from snake venom. Rats subjected to experimental TBI were administered a single dose of HCA or vehicle 10 min after injury. Neurological function was assessed with modified neurological severity score (mNSS). Brain edema were evaluated by measuring brain water content. Levels of hemoglobin and inflammatory cytokines were detected by Enzyme-linked immunosorbent assay (ELISA). In addition, assays including Evans blue extravasation, Western blot analysis and immunofluorescence staining were utilized to determined blood-brain barrier (BBB) integrity. Our results showed that HCA treatment ameliorated neurological deficits (p < 0.01), alleviated brain edema (p < 0.01) and hemorrhage (p < 0.01), decreased the production of the proinflammatory cytokines IL-1β (p < 0.01), TNF-α (p < 0.01) and IL-6 (p < 0.05), and increased the anti-inflammatory cytokine IL-10 at the contusion site (p < 0.01). Moreover, HCA administration reduced BBB disruption by regulating expression of tight junction proteins, including ZO-1, occludin and claudin-5 (ps < 0.01). Together, our results demonstrate that HCA might have therapeutic efficacy in acute TBI, suggesting a potential clinical application for mitigating the neuropathological damage associated with TBI.

Predictors of In-Hospital Mortality for School-Aged Children with Severe Traumatic Brain Injury

Traumatic brain injury (TBI) is the leading cause of mortality in children. There are few studies focused on school-aged children with TBI. We conducted this study to identify the early predictors of in-hospital mortality in school-aged children with severe TBI. In this 10 year observational cohort study, a total of 550 children aged 7-18 years with TBI were enrolled. Compared with mild/moderate TBI, children with severe TBI were older; more commonly had injury mechanisms of traffic accidents; and more neuroimage findings of subarachnoid hemorrhage (SAH), subdural hemorrhage (SDH), parenchymal hemorrhage, cerebral edema, and less epidural hemorrhage (EDH). The in-hospital mortality rate of children with severe TBI in our study was 23%. Multivariate analysis showed that falls, being struck by objects, motor component of Glasgow coma scale (mGCS), early coagulopathy, and SAH were independent predictors of in-hospital mortality. We concluded that school-aged children with severe TBI had a high mortality rate. Clinical characteristics including injury mechanisms of falls and being struck, a lower initial mGCS, early coagulopathy, and SAH are predictive of in-hospital mortality.

Clinical and Physiologic Factors Associated With Mode of Death in Pediatric Severe TBI

Aims and Objectives: Severe traumatic brain injury (sTBI) is the leading cause of death in children. Our aim was to determine the mode of death for children who died with sTBI in a Pediatric Critical Care Unit (PCCU) and evaluate factors associated with mortality. Methods: We performed a retrospective cohort study of all severely injured trauma patients (Injury Severity Score ≥ 12) with sTBI (Glasgow Coma Scale [GCS] ≤ 8 and Maximum Abbreviated Injury Scale ≥ 4) admitted to a Canadian PCCU (2000-2016). We analyzed mode of death, clinical factors, interventions, lab values within 24 h of admission (early) and pre-death (48 h prior to death), and reviewed meeting notes in patients who died in the PCCU. Results: Of 195 included patients with sTBI, 55 (28%) died in the PCCU. Of these, 31 (56%) had a physiologic death (neurologic determination of death or cardiac arrest), while 24 (44%) had withdrawal of life-sustaining therapies (WLST). Median (IQR) times to death were 35.2 (11.8, 86.4) hours in the physiologic group and 79.5 (17.6, 231.3) hours in the WLST group (p = 0.08). The physiologic group had higher partial thromboplastin time (PTT) within 24 h of admission (p = 0.04) and lower albumin prior to death (p = 0.04). Conclusions: Almost half of sTBI deaths in the PCCU were by WLST. There was a trend toward a longer time to death in these patients. We found few early and late (pre-death) factors associated with mode of death, namely higher PTT and lower albumin.

Identification of adverse events in pediatric severe traumatic brain injury patients to target evidence-based prevention for increased performance improvement and patient safety

INTRODUCTION

Trauma centres are required to continuously measure, evaluate and improve care. Severe traumatic brain injury (sTBI) patients are highly susceptible to adverse events (AE; unintended, potentially harmful events resulting from health care) due to their unstable condition requiring high risk interventions, multiple medications and invasive monitoring. Objectives were to describe: (1) a process for identifying AE in pediatric sTBI patients to identify safety risks, target and implement evidence-based prevention strategies; and (2) a tertiary care PICU's sTBI AE experience.

METHODS

Merging databases, Trauma Registry with Adverse Events Management System, identified AE in patients. Details on the event location, type and severity of harm were combined with patient demographics, injury data, costs and outcomes in a cohort of 193 PICU sTBI patients (2000-15). Descriptive statistics and multivariate logistic regression were undertaken to describe AE, and their association with risk factors and outcomes.

RESULTS

103/193 sTBI patients (53%) suffered at least one AE. 238 AE occurred (1.23 AE/patient), with 30% of patients having 2+ AE. Most resulted in no harm (54%) with decubitus ulcers (15%) the most common AE. AE patients were more likely to be monitored for elevated ICP (p<0.001), with fewer ventilator-free days (p=0.015), longer LOS for PICU (11 vs. 3.5 days; p<0.001) and in-hospital (31 vs. 11 days; p<0.001) with higher median costs ($121,234 vs. $53,341; p=0.031). AE patients required a higher level of care on discharge (p=0.035).

CONCLUSIONS

Merging databases is an effective practice to identify AE and safety risks in trauma populations. Utilizing this method, a PICU AE rate of 1.23 events per patient was found with TBI severity the most important factor to increase the odds of AE. AE represent performance improvement events, opportunities to optimize care, decrease costs, as well as improve outcomes, to ultimately improve patient safety in this vulnerable population.

Angiogenic peptide hydrogels for treatment of traumatic brain injury

Traumatic brain injury (TBI) impacts over 3.17 million Americans. Management of hemorrhage and coagulation caused by vascular disruption after TBI is critical for the recovery of patients. Cerebrovascular pathologies play an important role in the underlying mechanisms of TBI. The objective of this study is to evaluate a novel regenerative medicine for the injured tissue after brain injury. We utilized a recently described synthetic growth factor with angiogenic potential to facilitate vascular growth in situ at the injury site. Previous work has shown how this injectable self-assembling peptide-based hydrogel (SAPH) creates a regenerative microenvironment for neovascularization at the injury site. Supramolecular assembly allows for thixotropy; the injectable drug delivery system provides sustained in vivo efficacy. In this study, a moderate blunt injury model was used to cause physical vascular damage and hemorrhage. The angiogenic SAPH was then applied directly on the injured rat brain. At day 7 post-TBI, significantly more blood vessels were observed than the sham and injury control group, as well as activation of VEGF-receptor 2, demonstrating the robust angiogenic response elicited by the angiogenic SAPH. Vascular markers von-Willebrand factor (vWF) and α-smooth muscle actin (α-SMA) showed a concomitant increase with blood vessel density in response to the angiogenic SAPH. Moreover, blood brain barrier integrity and blood coagulation were also examined as the parameters to indicate wound recovery post TBI. Neuronal rescue examination by NeuN and myelin basic protein staining showed that the angiogenic SAPH may provide and neuroprotective benefit in the long-term recovery.

Epidemiology of Pediatric Traumatic Brain Injury at Sylvanus Olympio University Hospital of Lomé in Togo

Introduction

Severe pediatric traumatic brain injury (pTBI) is a leading cause of disability and death in children worldwide. Children victims of pTBI are admitted to the Sylvanus Olympio University Hospital (SOUH) at the multipurpose Intensive Care Unit (ICU). We aimed in this study to describe the epidemiologic characteristics and outcomes of pTBI patients admitted in this ICU.

Patients and Methods

This study was conducted at the ICU of SOUH of Lome. It was a retrospective study based on patients' records from 0 to 15 years old admitted during the period from 1 January 2012 to 30 June 2018 (5 years and 6 months).

Results

We recorded 91 pTBI included in the study. The mean age was 7.7 ± 4.3 years. The male predominated with 67.0%. Road traffic accidents were the most common cause (79.1%), followed by falls (19.8%). The average pediatric Glasgow Coma Scale (pGCS) was 6.6 ± 1.4, with a mean Injury Severity Score (ISS) of 23.1 ± 8.4. The most common brain injuries found in the CT scan were brain edema (72.9%), skull fracture (69.5%), and brain contusion (55.9%). The average duration under mechanical ventilation was 2.1 ± 2.9 days, and the mean ICU stay was 4.9 ± 4.4 days. Overall mortality was 31.9% (29 cases). Factors significantly associated (p < 0.05) with death were hypotension (51.7%), anemia (43.1%), hyperthermia (46.7%), GCS < 6 (64%), and ISS > 20 (48.9%).

Conclusion

pTBI mortality remains high in SOUH ICU. Factors associated with mortality were secondary systemic insults, worse GCS < 6, and ISS > 20.

Noninvasive magnetic resonance imaging stratifies injury severity in a rodent model of male juvenile traumatic brain injury

Age and severity are significant predictors of traumatic brain injury (TBI) outcomes in the immature brain. TBI studies have segregated TBI injury into three severity groups: mild, moderate, and severe. While mild TBI is most frequent form in children and adults, there is debate over the indicators used to denote mild injury. Clinically, magnetic resonance imaging (MRI) and computed tomography (CT) are used to diagnose the TBI severity when medically warranted. Herein, we induced mild, moderate, and severe TBI in juvenile rats (jTBI) using the controlled cortical impact model. We characterized the temporal and spatial injury after graded jTBI in vivo using high-field MRI at 0.25 (6 hr), 1 and 3 days post-injury (dpi) with comparative histology. Susceptibility-weighted imaging (SWI) for blood and T2-weighted imaging (T2WI) for edema were quantified over the 0.25-3 dpi. Edema volumes increased linearly with severity at 0.25 dpi that slowly continued to decrease over the 3 dpi. In contrast, blood volumes did not decrease over time. Mild TBI had the least amount of blood visible on SWI. Fluoro-jade B (FJB) staining for cell death confirmed increased cellular death with increasing severity and increased FJB + cells in the corpus callosum (CC). Interestingly, the strongest correlation was observed for cell death and the presence of extravascular blood. A clear understanding of acute brain injury (jTBI) and how blood/edema contribute to mild, moderate, and severe jTBI is needed prior to embarking on therapeutic interventions. Noninvasive imaging should be used in mild jTBI to verify lack of overt injury.

Paroxysmal Sympathetic Hyperactivity After Severe Traumatic Brain Injury in Children: Prevalence, Risk Factors, and Outcome

OBJECTIVE

To describe paroxysmal sympathetic hyperactivity in pediatric patients with severe traumatic brain injury using the new consensus definition, the risk factors associated with developing paroxysmal sympathetic hyperactivity, and the outcomes associated with paroxysmal sympathetic hyperactivity.

DESIGN

Retrospective cohort study.

SETTING

Academic children's hospital PICU.

PATIENTS

All pediatric patients more than 1 month and less than 18 years old with severe traumatic brain injury between 2000 and 2016. We excluded patients if they had a history of five possible confounders for paroxysmal sympathetic hyperactivity diagnosis or if they died within 24 hours of admission for traumatic brain injury.

MEASUREMENTS AND MAIN RESULTS

Our primary outcome was PICU mortality. One hundred seventy-nine patients met inclusion criteria. Thirty-six patients (20%) had at least eight criteria and therefore met classification of "likelihood of paroxysmal sympathetic hyperactivity." Older age was the only factor independently associated with developing paroxysmal sympathetic hyperactivity (odds ratio, 1.08; 95% CI, 1.00-1.16). PICU mortality was significantly lower for those with paroxysmal sympathetic hyperactivity compared with those without paroxysmal sympathetic hyperactivity (odds ratio, 0.08; 95% CI, 0.01-0.52), but PICU length of stay was greater in those with paroxysmal sympathetic hyperactivity (odds ratio, 4.36; 95% CI, 2.94-5.78), and discharge to an acute care or rehabilitation setting versus home was higher in those with paroxysmal sympathetic hyperactivity (odds ratio, 5.59; 95% CI, 1.26-24.84; odds ratio, 5.39; 95% CI, 1.87-15.57, respectively). When paroxysmal sympathetic hyperactivity was diagnosed in the first week of admission, it was not associated with discharge disposition.

CONCLUSIONS

Our study suggests that the rate of paroxysmal sympathetic hyperactivity in patients with severe traumatic brain injury is higher than previously reported. Older age was associated with an increased risk for developing paroxysmal sympathetic hyperactivity, but severity of the trauma and the brain injury were not. For survivors of severe traumatic brain injury beyond 24 hours who developed paroxysmal sympathetic hyperactivity, there was a lower PICU mortality but also greater PICU length of stay and a lower likelihood of discharge home from the admitting hospital, suggesting that functional outcome in survivors with paroxysmal sympathetic hyperactivity is worse than survivors without paroxysmal sympathetic hyperactivity.

The identification of a subgroup of children with traumatic subarachnoid hemorrhage at low risk of neuroworsening

OBJECTIVEPediatric traumatic subarachnoid hemorrhage (tSAH) often results in intensive care unit (ICU) admission, the performance of additional diagnostic studies, and ICU-level therapeutic interventions to identify and prevent episodes of neuroworsening.METHODSData prospectively collected in an institutionally specific trauma registry between 2006 and 2015 were supplemented with a retrospective chart review of children admitted with isolated traumatic subarachnoid hemorrhage (tSAH) and an admission Glasgow Coma Scale (GCS) score of 13-15. Risk of blunt cerebrovascular injury (BCVI) was calculated using the BCVI clinical prediction score.RESULTSThree hundred seventeen of 10,395 pediatric trauma patients were admitted with tSAH. Of the 317 patients with tSAH, 51 children (16%, 23 female, 28 male) were identified with isolated tSAH without midline shift on neuroimaging and a GCS score of 13-15 at presentation. The median patient age was 4 years (range 18 days to 15 years). Seven had modified Fisher grade 3 tSAH; the remainder had grade 1 tSAH. Twenty-six patients (51%) had associated skull fractures; 4 involved the petrous temporal bone and 1 the carotid canal. Thirty-nine (76.5%) were admitted to the ICU and 12 (23.5%) to the surgical ward. Four had an elevated BCVI score. Eight underwent CT angiography; no vascular injuries were identified. Nine patients received an imaging-associated general anesthetic. Five received hypertonic saline in the ICU. Patients with a modified Fisher grade 1 tSAH had a significantly shorter ICU stay as compared to modified Fisher grade 3 tSAH (1.1 vs 2.5 days, p = 0.029). Neuroworsening was not observed in any child.CONCLUSIONSChildren with isolated tSAH without midline shift and a GCS score of 13-15 at presentation appear to have minimal risk of neuroworsening despite the findings in some children of skull fractures, elevated modified Fisher grade, and elevated BCVI score. In this subgroup of children with tSAH, routine ICU-level care and additional diagnostic imaging may not be necessary for all patients. Children with modified Fisher grade 1 tSAH may be particularly unlikely to require ICU-level admission. Benefits to identifying a subgroup of children at low risk of neuroworsening include improvement in healthcare efficiency as well as decreased utilization of unnecessary and potentially morbid interventions, including exposure to ionizing radiation and general anesthesia.

Presenting Characteristics Associated With Outcome in Children With Severe Traumatic Brain Injury: A Secondary Analysis From a Randomized, Controlled Trial of Therapeutic Hypothermia

OBJECTIVES

To identify injury patterns and characteristics associated with severe traumatic brain injury course and outcome, within a well-characterized cohort, which may help guide new research and treatment initiatives.

DESIGN

A secondary analysis of a phase 3, randomized, controlled trial that compared therapeutic hypothermia versus normothermia following severe traumatic brain injury in children.

SETTING

Fifteen sites in the United States, Australia, and New Zealand.

PATIENTS

Children (< 18 yr old) with severe traumatic brain injury.

MEASUREMENTS AND MAIN RESULTS

Baseline, clinical, and CT characteristics of patients (n = 77) were examined for association with mortality and outcome, as measured by the Glasgow Outcome Scale-Extended Pediatric Revision 3 months after traumatic brain injury. Data are presented as odds ratios with 95% CIs. No demographic, clinical, or CT characteristic was associated with mortality in bivariate analysis. Characteristics associated with worse Glasgow Outcome Scale-Extended Pediatric Revision in bivariate analysis were two fixed pupils (14.17 [3.38-59.37]), abdominal Abbreviated Injury Severity score (2.03 [1.19-3.49]), and subarachnoid hemorrhage (3.36 [1.30-8.70]). Forward stepwise regression demonstrated that Abbreviated Injury Severity spine (3.48 [1.14-10.58]) and midline shift on CT (8.35 [1.05-66.59]) were significantly associated with mortality. Number of fixed pupils (one fixed pupil 3.47 [0.79-15.30]; two fixed pupils 13.61 [2.89-64.07]), hypoxia (5.22 [1.02-26.67]), and subarachnoid hemorrhage (3.01 [1.01-9.01]) were independently associated with worse Glasgow Outcome Scale-Extended Pediatric Revision following forward stepwise regression.

CONCLUSIONS

Severe traumatic brain injury is a clinically heterogeneous disease that can be accompanied by a range of neurologic impairment and a variety of injury patterns at presentation. This secondary analysis of prospectively collected data identifies several characteristics associated with outcome among children with severe traumatic brain injury. Future, larger trials are needed to better characterize phenotypes within this population.

Fourteen-Day Mortality in Pediatric Patients with Traumatic Brain Injury After Early Decompressive Craniectomy: A Single-Center Retrospective Study

OBJECTIVE

The purpose of this study was to analyze the risk factors for 14-day mortality in pediatric patients undergoing early decompressive craniectomy (DC) after traumatic brain injury (TBI).

METHODS

This retrospective analysis included all pediatric patients (≤16 years of age) undergoing DC within 12 hours of TBI between August 2011 and July 2017 at the authors' institute. Demographic information, clinical characteristics, surgical information, and laboratory parameters were retrieved from medical records. Risk factors for 14-day mortality were analyzed using multivariate logistic regression models. First, potentially relevant variables were compared between those who died within 14 days versus those who did not. Variables with P < 0.10 were entered into the final multivariate regression analysis.

RESULTS

A total of 36 patients (23 boys and 13 girls; median age, 7 years) were included in the analysis. Fall (n = 19, 52.8%) was the leading cause of injury. The 14-day mortality was 38.9% (14/36). At the time of admission, the median Glasgow Score Scale (GCS) was 6 (IQR 4-8), and the mean Injury Severity Score (ISS) (± standard deviation) was 29.03 ± 8.54. Preoperative hypoxia, defined as oxyhemoglobin arterial saturation <90% or apnea >20 seconds, was observed in 6 patients (16.7%). Coagulopathy was present in 14 patients (38.9%). Multivariate logistic regression analysis suggested an association between 14-day mortality and younger age (odds ratio [OR] = 0.708, 95% confidence interval [CI]: 0.513-0.978; P = 0.036) and higher ISS (OR = 1.399; 95% CI: 1.023-1.914; P = 0.035).

CONCLUSIONS

In children undergoing early DC after TBI, risk factors for 14-day mortality include younger age and higher ISS.

Does the Addition of a "Black Bone" Sequence to a Fast Multisequence Trauma MR Protocol Allow MRI to Replace CT after Traumatic Brain Injury in Children?

BACKGROUND AND PURPOSE

Head CT is the current neuroimaging tool of choice in acute evaluation of pediatric head trauma. The potential cancer risks of CT-related ionizing radiation should limit its use in children. We evaluated the role of MR imaging, including a "black bone" sequence, compared with CT in detecting skull fractures and intracranial hemorrhages in children with acute head trauma.

MATERIALS AND METHODS

We performed a retrospective evaluation of 2D head CT and brain MR imaging studies including the black bone sequence of children with head trauma. Two experienced pediatric neuroradiologists in consensus created the standard of reference. Another pediatric neuroradiologist blinded to the diagnosis evaluated brain MR images and head CT images in 2 separate sessions. The presence of skull fractures and intracranial posttraumatic hemorrhages was evaluated. We calculated the sensitivity and specificity of CT and MR imaging with the black bone sequence in the diagnosis of skull fractures and intracranial hemorrhages.

RESULTS

Twenty-eight children (24 boys; mean age, 4.89 years; range, 0-15.5 years) with head trauma were included. MR imaging with the black bone sequence revealed lower sensitivity (66.7% versus 100%) and specificity (87.5% versus 100%) in identifying skull fractures. Four of 6 incorrectly interpreted black bone MR imaging studies showed cranial sutures being misinterpreted as skull fractures and vice versa.

CONCLUSIONS

Our preliminary results show that brain MR imaging complemented by a black bone sequence is a promising nonionizing alternative to head CT for the assessment of skull fractures in children. However, accuracy in the detection of linear fractures in young children and fractures of aerated bone remains limited.

Response of the cerebral vasculature following traumatic brain injury

The critical role of the vasculature and its repair in neurological disease states is beginning to emerge particularly for stroke, dementia, epilepsy, Parkinson's disease, tumors and others. However, little attention has been focused on how the cerebral vasculature responds following traumatic brain injury (TBI). TBI often results in significant injury to the vasculature in the brain with subsequent cerebral hypoperfusion, ischemia, hypoxia, hemorrhage, blood-brain barrier disruption and edema. The sequalae that follow TBI result in neurological dysfunction across a host of physiological and psychological domains. Given the importance of restoring vascular function after injury, emerging research has focused on understanding the vascular response after TBI and the key cellular and molecular components of vascular repair. A more complete understanding of vascular repair mechanisms are needed and could lead to development of new vasculogenic therapies, not only for TBI but potentially vascular-related brain injuries. In this review, we delineate the vascular effects of TBI, its temporal response to injury and putative biomarkers for arterial and venous repair in TBI. We highlight several molecular pathways that may play a significant role in vascular repair after brain injury.

Pediatric Traumatic Brain Injury: Characteristic Features, Diagnosis, and Management

Traumatic brain injury (TBI) is the leading cause of death and disability in children. Pediatric TBI is associated with several distinctive characteristics that differ from adults and are attributable to age-related anatomical and physiological differences, pattern of injuries based on the physical ability of the child, and difficulty in neurological evaluation in children. Evidence suggests that children exhibit a specific pathological response to TBI with distinct accompanying neurological symptoms, and considerable efforts have been made to elucidate their pathophysiology. In addition, recent technical advances in diagnostic imaging of pediatric TBI has facilitated accurate diagnosis, appropriate treatment, prevention of complications, and helped predict long-term outcomes. Here a review of recent studies relevant to important issues in pediatric TBI is presented, and recent specific topics are also discussed. This review provides important updates on the pathophysiology, diagnosis, and age-appropriate acute management of pediatric TBI.

Breviscapine reduces neuronal injury caused by traumatic brain injury insult: partly associated with suppression of interleukin-6 expression

Breviscapine, extracted from the herb Erigeron breviscapus, is widely used for the treatment of cardiovascular diseases, cerebral infarct, and stroke, but its mechanism of action remains unclear. This study established a rat model of traumatic brain injury induced by controlled cortical impact, and injected 75 μg breviscapine via the right lateral ventricle. We found that breviscapine significantly improved neurobehavioral dysfunction at 6 and 9 days after injection. Meanwhile, interleukin-6 expression was markedly down-regulated following breviscapine treatment. Our results suggest that breviscapine is effective in promoting neurological behavior after traumatic brain injury and the underlying molecular mechanism may be associated with the suppression of interleukin-6.

Diagnosis and Management of Combined Central Diabetes Insipidus and Cerebral Salt Wasting Syndrome After Traumatic Brain Injury

BACKGROUND

Combined central diabetes insipidus and cerebral salt wasting syndrome after traumatic brain injury (TBI) is rare, is characterized by massive polyuria leading to severe water and electrolyte disturbances, and usually is associated with very high mortality mainly as a result of delayed diagnosis and improper management.

METHODS

We retrospectively reviewed the clinical presentation, management, and outcomes of 11 patients who developed combined central diabetes insipidus and cerebral salt wasting syndrome after traumatic brain injury to define distinctive features for timely diagnosis and proper management.

RESULTS

The most typical clinical presentation was massive polyuria (10,000 mL/24 hours or >1000 mL/hour) refractory to vasopressin alone but responsive to vasopressin plus cortisone acetate. Other characteristic presentations included low central venous pressure, high brain natriuretic peptide precursor level without cardiac dysfunction, high 24-hour urine sodium excretion and hypovolemia, and much higher urine than serum osmolarity; normal serum sodium level and urine specific gravity can also be present. Timely and adequate infusion of sodium chloride was key in treatment. Of 11 patients, 5 had a good prognosis 3 months later (Extended Glasgow Outcome Scale score ≥6), 1 had an Extended Glasgow Outcome Scale score of 4, 2 died in the hospital of brain hernia, and 3 developed a vegetative state.

CONCLUSIONS

For combined diabetes insipidus and cerebral salt wasting syndrome after traumatic brain injury, massive polyuria is a major typical presentation, and intensive monitoring of fluid and sodium status is key for timely diagnosis. To achieve a favorable outcome, proper sodium chloride supplementation and cortisone acetate and vasopressin coadministration are key.

Role of Microvascular Disruption in Brain Damage from Traumatic Brain Injury

Traumatic brain injury (TBI) is acquired from an external force, which can inflict devastating effects to the brain vasculature and neighboring neuronal cells. Disruption of vasculature is a primary effect that can lead to a host of secondary injury cascades. The primary effects of TBI are rapidly occurring while secondary effects can be activated at later time points and may be more amenable to targeting. Primary effects of TBI include diffuse axonal shearing, changes in blood-brain barrier (BBB) permeability, and brain contusions. These mechanical events, especially changes to the BBB, can induce calcium perturbations within brain cells producing secondary effects, which include cellular stress, inflammation, and apoptosis. These secondary effects can be potentially targeted to preserve the tissue surviving the initial impact of TBI. In the past, TBI research had focused on neurons without any regard for glial cells and the cerebrovasculature. Now a greater emphasis is being placed on the vasculature and the neurovascular unit following TBI. A paradigm shift in the importance of the vascular response to injury has opened new avenues of drug-treatment strategies for TBI. However, a connection between the vascular response to TBI and the development of chronic disease has yet to be elucidated. Long-term cognitive deficits are common amongst those sustaining severe or multiple mild TBIs. Understanding the mechanisms of cellular responses following TBI is important to prevent the development of neuropsychiatric symptoms. With appropriate intervention following TBI, the vascular network can perhaps be maintained and the cellular repair process possibly improved to aid in the recovery of cellular homeostasis.