Moderate Traumatic Brain Injury: The Grey Zone of Neurotrauma

Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury

Machine learning (ML) offers precise predictions and could improve patient care, potentially replacing traditional scoring systems. A retrospective study at Emtiaz Hospital analyzed 3,180 traumatic brain injury (TBI) patients. Nineteen variables were assessed using ML algorithms to predict outcomes. Data preparation addressed missing values and balancing methods corrected imbalances. Model building involved training-test splits, survival analysis, and ML algorithms like Random Survival Forest (RSF) and Gradient Boosting. Feature importance was examined, with patient risk stratification guiding survival analysis. The best-performing model, RSF with ROS resampling, achieved the highest mean AUC of 0.80, the lowest IBS of 0.11, and IPCW c-index of 0.79, maintaining strong predictive ability over time. Top predictors for in-hospital mortality included age, GCS, pupil condition, PTT, IPH, and Rotterdam score, with high variations in predictive abilities over time. A risk stratification cut-off value of 63.34 separated patients into low and high-risk categories, with Kaplan-Meier curves showing significant survival differences. Our high-performing predictive model, built on first-day features, enables time-dependent risk assessment for tailored interventions and monitoring. Our study highlights the feasibility of AI tools in clinical settings, offering superior predictive accuracy and enhancing patient care for TBI cases.

Impact of interhospital transport on outcome in traumatic epidural hematoma: experiences of a level-1 trauma center

BACKGROUND

Epidural hematomas (EDH) are associated with a high rate of mortality and morbidity. Good clinical outcome depends on initial Glasgow Coma Scale (GCS), pupillary abnormalities, hematoma volume, age and time to surgery. The latter is mostly influenced by distance to the next level-1-trauma center.

OBJECTIVE

The aim of this study was to evaluate the surgical care and the influence of a potential interhospital transport of patients with acute EDH.

MATERIAL & METHODS

A retrospective analysis of data from 2009 to 2020 was carried out. All patients who underwent surgical evacuation of an EDH were included. Time and distance to surgery, pupillary abnormalities, initial GCS, age at surgery, direct or indirect transport, outcome (GOS) and comorbidities were collected. The effect on outcome was analyzed by multivariate analysis.

RESULTS

One hundred and thirty-one patients (106 men, 25 women) with EDH were surgical treated at our department. 54% were transported directly to our hospital. Median time to surgery was 4 h (2-336 h) and mean distance was 50 km (road kilometers). There was no difference in surgical treatment between admission patterns. Secondarily transferred patients have been operated at least as fast than primary hospital admissions (median 10 h vs. 11 h, respectively). Direct or indirect transport of patients had no statistically significant influence on outcome (p = 0.72), like sex (p = 0.33) and time to surgery (p = 0.75).

CONCLUSION

Interhospital transport did not cause a significant delay of surgical treatment and outcome was comparable between direct and indirect transport to specialized neurosurgical care. Direct transport was more common on severe TBI and in patients with pupillary abnormalities, but secondary transport also allowed for adequate care.

Development and validation of a nomogram for predicting early neurological deterioration in patients with moderate traumatic brain injury: a retrospective analysis

Objective

Early neurological deterioration (END) greatly affects prognosis of moderate traumatic brain injury (TBI). This study aimed to develop and validate a nomogram to predict the occurrence of END in patients with moderate TBI.

Methods

A total of 371 patients with moderate TBI were enrolled and divided into the training (n = 260) and validation (n = 111) groups at a ratio of 7:3. Univariate and multivariate logistic regression analyses were used to identify the significant factors for END, which were used to develop a nomogram. The discrimination of the nomogram was evaluated using area under the receiver operating characteristic curves (AUC), the calibration was evaluated using calibration curves and Hosmer-Lemeshow tests. Decision curve analysis (DCA) was used to evaluate the net benefit of the model for patients.

Results

In the training group, multivariate logistic regression demonstrated that GCS score, epidural hematoma, intracerebral hemorrhage, fibrinogen, and D-dimer were independent risk factors for END in patients with moderate TBI. A nomogram was constructed using the logistic regression prediction model. The AUCs of the nomogram in the training and validation groups were 0.901 and 0.927, respectively. The calibration curves showed that the predicted probability was consistent with the actual situation in both the training and validation sets. DCA curves demonstrated significantly better net benefit with the model. Then a web-based calculator was generated to facilitate clinical application.

Conclusion

The present study developed and validated a model to predict END in patients with moderate TBI. The nomogram that had good discrimination, calibration, and clinical utility can provide clinicians with an effective and accurate tool for evaluating the occurrence of END after moderate TBI.

Neuroworsening in Moderate Traumatic Brain Injury

Patients with moderate traumatic brain injury (TBI) are at high risk for developing intracerebral complications and in particular neuroworsening (NW). NW can be unpredictable and may be an important risk factor for poor neurologic outcome and for increased mortality. NW is often a medical and surgical emergency, and it is, therefore, fundamental to identify patients at risk early because they require strict neuromonitoring and repeated neuroimaging. So far, there is no standardized and validated definition of NW. In this review, we aim to discuss the definition, risk factors, and management of patients with moderate TBI at high risk of NW.

Comparative Analysis of Traumatic Brain Injury Severity in Motorcycle and Car Accident Victims Treated at Korle-Bu Teaching Hospital

Background

Traumatic brain injury (TBI) is one of the common causes of long-term disabilities, with about 10 million deaths annually.

Objectives

Our aim is to compare the severity and outcomes of TBI between motorcycle and car accident victims.

Materials and Methods

A prospective cohort study focusing on TBI patients. Data were collected from patients on admission at Korle-Bu Teaching Hospital (KBTH). Road traffic accident patients attending KBTH were recruited consecutively. Data collected included demographics, injury severity score (ISS), Glasgow coma scale (GCS), Marshall's computed tomography (CT) grading, and Glasgow outcome scale-extended. We employed descriptive summaries for all variables. Mann-Whitney U and Kruskal-Wallis tests were used in comparing severity.

Results

A total of 164 individuals were enrolled, with males comprising (73.8%) and a study average age of 33.2 years. Accidents involved cars and motorcycles almost equally. The GCS revealed 43.9% of injuries to be mild, and ISS indicated severe injuries in 49.4% of cases. CT showed grade 2 injuries per Marshall's classification and no significant differences in injury patterns. Nonsurgical treatment predominated, and a higher proportion of motorcycle cases required surgery. There were no significant differences in mortality or disability. The average hospital stay was 11.26 days, with 57.9% of deaths occurring within 72 h. Car accident survivors and pedestrians experienced longer days to mortality.

Conclusion

Across groups, the severity of TBIs showed a substantial proportion of participants with severe injuries, although no significant differences were observed between groups. The findings highlight the need for preventive measures and trauma care strategies to mitigate the impact of TBIs, particularly among high-risk demographics and road user categories.

Resuscitation and Initial Management After Moderate-to-Severe Traumatic Brain Injury: Questions for the On-Call Shift

Traumatic brain injury (TBI) is a leading cause of disability and mortality globally, stemming from both primary mechanical injuries and subsequent secondary responses. Effective early management of moderate-to-severe TBI is essential to prevent secondary damage and improve patient outcomes. This review provides a comprehensive guide for the resuscitation and stabilization of TBI patients, combining clinical experience with current evidence-based guidelines. Key areas addressed in this study include the identification and classification of severe TBI, intubation strategies, and optimized resuscitation targets to maintain cerebral perfusion. The management of coagulopathy and special considerations for patients with concomitant hemorrhagic shock are discussed in depth, along with recommendations for neurosurgical interventions. This article further explores the role of multimodal neuromonitoring and targeted temperature management to mitigate secondary brain injury. Finally, it discusses end-of-life care in cases of devastating brain injury (DBI). This practical review integrates foundational and recent advances in TBI management to aid in reducing secondary injuries and enhancing long-term recovery, presenting a multidisciplinary approach to support acute care decisions in TBI patients.

A Nomogram to Predict Intracranial Hypertension in Moderate Traumatic Brain Injury Patients

OBJECTIVE

Patients with moderate traumatic brain injury (mTBI) are under the threat of intracranial hypertension (IHT). However, it is unclear which mTBI patient will develop IHT and should receive intracranial pressure (ICP)-lowering treatment or invasive ICP monitoring after admission. The purpose of the present study was to develop and validate a prediction model that estimates the risk of IHT in mTBI patients.

METHODS

Baseline data collected on admission of 296 mTBI patients with Glasgow Coma Scale (GCS) score of 9-11 was collected and analyzed. Multivariable logistic regression modeling with backward stepwise elimination was used to develop a prediction model for IHT. The discrimination efficacy, calibration efficacy, and clinical utility of the prediction model were evaluated. Finally, the prediction model was validated in a separate cohort of 122 patients from 3 hospitals.

RESULTS

Four independent prognostic factors for IHT were identified: GCS score, Marshall head computed tomography score, injury severity score, and location of contusion. The C-statistic of the prediction model in internal validation was 84.30% (95% CI: 0.794-0.892). The area under the curve for the prediction model in external validation was 82.80% (95% CI: 0.747-0.909).

CONCLUSIONS

A prediction model based on baseline parameters was found to be highly sensitive in distinguishing mTBI patients with GCS score of 9-11 who would suffer IHT. The high discriminative ability of the prediction model supports its use in identifying mTBI patients with GCS score of 9-11 who need ICP-lowering therapy or invasive ICP monitoring.

Moderate Traumatic Brain Injury in Adult Population: The Latin American Brain Injury Consortium Consensus for Definition and Categorization

Moderate traumatic brain injury (TBI) is a diagnosis that describes diverse patients with heterogeneity of primary injuries. Defined by a Glasgow Coma Scale between 9 and 12, this category includes patients who may neurologically worsen and require increasing intensive care resources and/or emergency neurosurgery. Despite the unique characteristics of these patients, there have not been specific guidelines published before this effort to support decision-making in these patients. A Delphi consensus group from the Latin American Brain Injury Consortium was established to generate recommendations related to the definition and categorization of moderate TBI. Before an in-person meeting, a systematic review of the literature was performed identifying evidence relevant to planned topics. Blinded voting assessed support for each recommendation. A priori the threshold for consensus was set at 80% agreement. Nine PICOT questions were generated by the panel, including definition, categorization, grouping, and diagnosis of moderate TBI. Here, we report the results of our work including relevant consensus statements and discussion for each question. Moderate TBI is an entity for which there is little published evidence available supporting definition, diagnosis, and management. Recommendations based on experts' opinion were informed by available evidence and aim to refine the definition and categorization of moderate TBI. Further studies evaluating the impact of these recommendations will be required.

Quantitative Pupillometry for Intracranial Pressure (ICP) Monitoring in Traumatic Brain Injury: A Scoping Review

The neurological examination has remained key for the detection of worsening in neurocritical care patients, particularly after traumatic brain injury (TBI). New-onset, unreactive anisocoria frequently occurs in such situations, triggering aggressive diagnostic and therapeutic measures to address life-threatening elevations in intracranial pressure (ICP). As such, the field needs objective, unbiased, portable, and reliable methods for quickly assessing such pupillary changes. In this area, quantitative pupillometry (QP) proves promising, leveraging the analysis of different pupillary variables to indirectly estimate ICP. Thus, this scoping review seeks to describe the existing evidence for the use of QP in estimating ICP in adult patients with TBI as compared with invasive methods, which are considered the standard practice. This review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews, with a main search of PubMed and EMBASE. The search was limited to studies of adult patients with TBI published in any language between 2012 and 2022. Eight studies were included for analysis, with the vast majority being prospective studies conducted in high-income countries. Among QP variables, serial rather than isolated measurements of neurologic pupillary index, constriction velocity, and maximal constriction velocity demonstrated the best correlation with invasive ICP measurement values, particularly in predicting refractory intracranial hypertension. Neurologic pupillary index and ICP also showed an inverse relationship when trends were simultaneously compared. As such, QP, when used repetitively, seems to be a promising tool for noninvasive ICP monitoring in patients with TBI, especially when used in conjunction with other clinical and neuromonitoring data.

Neuroinflammation Plays a Potential Role in the Medulla Oblongata After Moderate Traumatic Brain Injury in Mice as Revealed by Nontargeted Metabonomics Analysis

Moderate traumatic brain injury (mTBI) involves a series of complex pathophysiological processes in not only the area in direct contact with mechanical violence but also in other brain regions far from the injury site, which may be important factors influencing subsequent neurological dysfunction or death. The medulla oblongata (MO) is a key area for the maintenance of basic respiratory and circulatory functions, whereas the pathophysiological processes after mTBI have rarely drawn the attention of researchers. In this study, we established a closed-head cortical contusion injury model, identified 6 different time points that covered the acute, subacute, and chronic phases, and then used nontargeted metabolomics to identify and analyze the changes in differential metabolites (DMs) and metabolic pathways in the MO region. Our results showed that the metabolic profile of the MO region underwent specific changes over time: harmaline, riboflavin, and dephospho-coenzyme A were identified as the key DMs and play important roles in reducing inflammation, enhancing antioxidation, and maintaining homeostasis. Choline and glycerophospholipid metabolism was identified as the key pathway related to the changes in MO metabolism at different phases. In addition, we confirmed increases in the levels of inflammatory factors and the activation of astrocytes and microglia by Western blot and immunofluorescence staining, and these findings were consistent with the nontargeted metabolomic results. These findings suggest that neuroinflammation plays a central role in MO neuropathology after mTBI and provide new insights into the complex pathophysiologic mechanisms involved after mTBI.

Predictors of outcomes in geriatric patients with moderate traumatic brain injury after ground level falls

Introduction

The elderly population constitutes one of the fastest-growing demographic groups globally. Within this population, mild to moderate traumatic brain injuries (TBI) resulting from ground level falls (GLFs) are prevalent and pose significant challenges. Between 50 and 80% of TBIs in older individuals are due to GLFs. These incidents result in more severe outcomes and extended recovery periods for the elderly, even when controlling for injury severity. Given the increasing incidence of such injuries it becomes essential to identify the key factors that predict complications and in-hospital mortality. Therefore, the aim of this study was to pinpoint the top predictors of complications and in-hospital mortality in geriatric patients who have experienced a moderate TBI following a GLF.

Methods

Data were obtained from the American College of Surgeons' Trauma Quality Improvement Program database. A moderate TBI was defined as a head AIS ≤ 3 with a Glasgow Coma Scale (GCS) 9-13, and an AIS ≤ 2 in all other body regions. Potential predictors of complications and in-hospital mortality were included in a logistic regression model and ranked using the permutation importance method.

Results

A total of 7,489 patients with a moderate TBI were included in the final analyses. 6.5% suffered a complication and 6.2% died prior to discharge. The top five predictors of complications were the need for neurosurgical intervention, the Revised Cardiac Risk Index, coagulopathy, the spine abbreviated injury severity scale (AIS), and the injury severity score. The top five predictors of mortality were head AIS, age, GCS on admission, the need for neurosurgical intervention, and chronic obstructive pulmonary disease.

Conclusion

When predicting both complications and in-hospital mortality in geriatric patients who have suffered a moderate traumatic brain injury after a ground level fall, the most important factors to consider are the need for neurosurgical intervention, cardiac risk, and measures of injury severity. This may allow for better identification of at-risk patients, and at the same time resulting in a more equitable allocation of resources.

A multicenter observational study on outcomes of moderate and severe pediatric traumatic brain injuries-time to reappraise thresholds for treatment

PURPOSE

Children with moderate traumatic brain injury (modTBI) (Glasgow Coma Scale (GCS) 9-13) may benefit from better stratification. We aimed to compare neurocritical care utilization and functional outcomes between children with high GCS modTBI (hmodTBI, GCS 11-13), low GCS modTBI (lmodTBI, GCS 9-10), and severe TBI (sTBI, GCS ≤ 8). We hypothesized that patients with lmodTBI have higher neurocritical care needs and worse outcomes than patients with hmodTBI and are similar to patients with sTBI.

METHODS

Prospective observational study from June 2018 to October 2022 in 28 pediatric intensive care units (PICU) in Asia, South America, and Europe. We included children (age < 18 years) with modTBI and sTBI admitted to PICU and measured functional outcomes at 3 months using the Glasgow Outcome Scale-Extended Pediatric Revision (GOS-E Peds, scale 1-8, 1 = upper good recovery, 8 = death).

RESULTS

We analyzed 409 patients: 98 (24%) and 311 (76%) with modTBI and sTBI, respectively. Patients with lmodTBI (vs. hmodTBI) were more likely to have invasive ICP monitoring (32.3% vs. 4.5%, p < 0.001), longer PICU stay (days, median [IQR]; 5.00 [4.00, 9.75] vs 4.00 [2.00, 5.00], p = 0.007), and longer hospital stay (days, median [IQR]: 13.00 [8.00, 17.00] vs. 8.00 [5.00, 12, 25], p = 0.015). Median GOS-E Peds scores were significantly different (hmodTBI (1.00 [1.00, 3.00]), lmodTBI (3.00 [IQR 2.00, 5.75]), and sTBI (5.00 [IQR 1.00, 6.00]) (p < 0.001)). After adjusting for age, sex, presence of polytrauma and cerebral edema, lmodTBI, and sTBI remained significantly associated with higher GOS-E scores (adjusted coefficient (standard error): 1.24 (0.52), p = 0.018, and 1.27 (0.33), p < 0.001, respectively) compared with hmodTBI.

CONCLUSIONS

Children with lmodTBI have higher rates of neurocritical care utilization and worse functional outcomes than those with hmodTBI but better than those with sTBI. Children with lmodTBI may benefit from guideline-based management similar to what is implemented in children with sTBI. This work was performed in hospitals within the PACCMAN and LARed networks. No reprints will be ordered.

Machine learning-based models to predict the need for neurosurgical intervention after moderate traumatic brain injury

Background and Aims

Traumatic brain injury (TBI) is a widespread global health issue with significant economic consequences. However, no existing model exists to predict the need for neurosurgical intervention in moderate TBI patients with positive initial computed tomography scans. This study determines the efficacy of machine learning (ML)-based models in predicting the need for neurosurgical intervention.

Methods

This is a retrospective study of patients admitted to the neuro-intensive care unit of Emtiaz Hospital, Shiraz, Iran, between January 2018 and December 2020. The most clinically important variables from patients that met our inclusion and exclusion criteria were collected and used as predictors. We developed models using multilayer perceptron, random forest, support vector machines (SVM), and logistic regression. To evaluate the models, their F1-score, sensitivity, specificity, and accuracy were assessed using a fourfold cross-validation method.

Results

Based on predictive models, SVM showed the highest performance in predicting the need for neurosurgical intervention, with an F1-score of 0.83, an area under curve of 0.93, sensitivity of 0.82, specificity of 0.84, a positive predictive value of 0.83, and a negative predictive value of 0.83.

Conclusion

The use of ML-based models as decision-making tools can be effective in predicting with high accuracy whether neurosurgery will be necessary after moderate TBIs. These models may ultimately be used as decision-support tools to evaluate early intervention in TBI patients.

Alcohol intake before injury and functional and survival outcomes after traumatic brain injury: Pan-Asian trauma outcomes study (PATOS)

There are controversies about the effects of alcohol intake shortly before injury on prognosis of traumatic brain injury (TBI) patients. We investigated the association between alcohol intake and functional/survival outcomes in TBI patients, and whether this effect varied according to age and sex. This was a prospective international multicenter cohort study using the Pan-Asian trauma outcomes study registry in Asian-Pacific countries, conducted on adult patients with TBI who visited participating hospitals. The main exposure variable was alcohol intake before injury, and the main outcomes were poor functional recovery (modified Rankin Scale score, 4-6) and in-hospital mortality. Multivariable logistic regression analyses were conducted to estimate the effects of alcohol intake on study outcomes. Interaction analysis between alcohol intake and age/sex were also performed. Among the study population of 12,451, 3263 (26.2%) patients consumed alcohol before injury. In multivariable logistic regression analysis, alcohol intake was associated with lower odds for poor functional recovery [4.4% vs 6.6%, a odds ratio (95% confidence interval): 0.68 (0.56-0.83)] and in-hospital mortality (1.9% vs 3.1%, 0.64 [0.48-0.86]). The alcohol intake had interaction effects with sex for poor functional recovery: 0.59 (0.45-0.75) for male and 0.94 (0.60-1.49) for female (P for-interaction < .01), whereas there were no interaction between alcohol intake and age. In TBI patients, alcohol intake before injury was associated with lower odds of poor functional recovery and in-hospital mortality, and these effects were maintained in the male group in the interaction analyses.

Influence of Sociodemographic, Premorbid, and Injury-Related Factors on Post-Traumatic Stress, Anxiety, and Depression after Traumatic Brain Injury

Psychopathological symptoms are common sequelae after traumatic brain injury (TBI), leading to increased personal and societal burden. Previous studies on factors influencing Post-traumatic Stress Disorder (PTSD), Generalized Anxiety Disorder (GAD), and Major Depressive Disorder (MDD) after TBI have produced inconclusive results, partly due to methodological limitations. The current study investigated the influence of commonly proposed factors on the clinical impairment, occurrence, frequency, and intensity of symptoms of PTSD, GAD, and MDD after TBI. The study sample comprised 2069 individuals (65% males). Associations between psychopathological outcomes and sociodemographic, premorbid, and injury-related factors were analyzed using logistic regression, standard, and zero-inflated negative binomial models. Overall, individuals experienced moderate levels of PTSD, GAD, and MDD. Outcomes correlated with early psychiatric assessments across domains. The clinical impairment, occurrence, frequency, and intensity of all outcomes were associated with the educational level, premorbid psychiatric history, injury cause, and functional recovery. Distinct associations were found for injury severity, LOC, and clinical care pathways with PTSD; age and LOC:sex with GAD; and living situation with MDD, respectively. The use of suitable statistical models supported the identification of factors associated with the multifactorial etiology of psychopathology after TBI. Future research may apply these models to reduce personal and societal burden.

Intracranial-Pressure-Monitoring-Assisted Management Associated with Favorable Outcomes in Moderate Traumatic Brain Injury Patients with a GCS of 9-11

Objective: With a mortality rate of 10−30%, a moderate traumatic brain injury (mTBI) is one of the most variable traumas. The indications for intracranial pressure (ICP) monitoring in patients with mTBI and the effects of ICP on patients’ outcomes are uncertain. The purpose of this study was to examine the indications of ICP monitoring (ICPm) and its effects on the long-term functional outcomes of mTBI patients. Methods: Patients with Glasgow Coma Scale (GCS) scores of 9−11 at Tangdu hospital, between January 2015 and December 2021, were enrolled and treated in this retrospective cohort study. We assessed practice variations in ICP interventions using the therapy intensity level (TIL). Six-month mortality and a Glasgow Outcome Scale Extended (GOS-E) score were the main outcomes. The secondary outcome was neurological deterioration (ND) events. The indication and the estimated impact of ICPm on the functional outcome were investigated by using binary regression analyses. Results: Of the 350 patients, 145 underwent ICP monitoring-assisted management, and the other 205 patients received a standard control based on imaging or clinical examinations. A GCS ≤ 10 (OR 1.751 (95% CI 1.216−3.023), p = 0.003), midline shift (mm) ≥ 2.5 (OR 3.916 (95% CI 2.076−7.386) p < 0.001), and SDH (OR 1.772 (95% CI 1.065−2.949) p = 0.028) were predictors of ICP. Patients who had ICPm (14/145 (9.7%)) had a decreased 6-month mortality rate compared to those who were not monitored (40/205 (19.5%), p = 0.011). ICPm was linked to both improved neurological outcomes at 6 months (OR 0.815 (95% CI 0.712−0.933), p = 0.003) and a lower ND rate (2 = 11.375, p = 0.010). A higher mean ICP (17.32 ± 3.52, t = −6.047, p < 0.001) and a more significant number of ICP > 15 mmHg (27 (9−45.5), Z = −5.406, p < 0.001) or ICP > 20 mmHg (5 (0−23), Z = −4.635, p < 0.001) 72 h after injury were associated with unfavorable outcomes. The best unfavorable GOS-E cutoff value of different ICP characteristics showed that the mean ICP was >15.8 mmHg (AUC 0.698; 95% CI, 0.606−0.789, p < 0.001), the number of ICP > 15 mmHg was >25.5 (AUC 0.681; 95% CI, 0.587−0.774, p < 0.001), and the number of ICP > 20 mmHg was >6 (AUC 0.660; 95% CI, 0.561−0.759, p < 0.001). The total TIL score during the first 72 h post-injury in the non-ICP group (9 (8, 11)) was lower than that of the ICP group (13 (9, 17), Z = −8.388, p < 0.001), and was associated with unfavorable outcomes. Conclusion: ICPm-assisted management was associated with better clinical outcomes six months after discharge and lower incidences of ND for seven days post-injury. A mean ICP > 15.8 mmHg, the number of ICP > 15 mmHg > 25.5, or the number of ICP > 20 mmHg > 6 implicate an unfavorable long-term prognosis after 72 h of an mTBI.

Pneumonia in Nervous System Injuries: An Analytic Review of Literature and Recommendations

Pneumonia is one of the most common complications in intensive care units and is the most common nosocomial infection in this setting. Patients with neurocritical conditions who are admitted to ICUs are no exception, and in fact, are more prone to infections such as pneumonia because of factors such as swallow dysfunction, need for mechanical ventilation, longer length of stay in hospitals, etc. Common central nervous system pathologies such as ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, intracerebral hemorrhage, neuromuscular disorders, status epilepticus, and demyelinating diseases can cause long in-hospital admissions and increase the risk of pneumonia each with a mechanism of its own. Brain injury-induced immunosuppression syndrome is usually considered the common mechanism through which patients with critical central nervous system conditions become susceptible to different kinds of infection including pneumonia. Evaluating the patients and assessment of the risk factors can lead our attention toward better infection control in this population and therefore decrease the risk of infections in central nervous system injuries.

Intracranial Pressure Monitoring in Moderate Traumatic Brain Injury: A Systematic Review and Meta-Analysis

BACKGROUND

The principal aim of this study was to determine the prevalence of intracranial pressure (ICP) monitoring and intracranial hypertension (IHT) in patients treated for moderate traumatic brain injury (TBI). A secondary objective was to assess factors associated with ICP monitoring.

METHODS

We conducted a systematic review of the literature to identify studies that assessed ICP monitoring in moderate TBI. The meta-analysis was performed by using a random-effects model.

RESULTS

A total of 13 studies comprising 116,714 patients were pooled to estimate the overall prevalence of ICP monitoring and IHT (one episode or more of ICP > 20 mm Hg) after moderate TBI. The prevalence rate for ICP monitoring was 18.3% (95% confidence interval 8.1-36.1%), whereas the proportion of IHT was 44% (95% confidence interval 33.8-54.7%). Three studies were pooled to estimate the prevalence of ICP monitoring according to Glasgow Coma Scale (GCS) (≤ 10 vs. > 10). ICP monitoring was performed in 32.2% of patients with GCS ≤ 10 versus 15.2% of patients with GCS > 10 (p = 0.59). Both subgroups were highly heterogeneous. We found no other variables associated with ICP monitoring or IHT.

CONCLUSIONS

The prevalence of ICP monitoring in moderate TBI is low, but the prevalence of IHT is high among patients undergoing ICP monitoring. Current literature is limited in size and quality and does not identify factors associated with ICP monitoring or IHT. Further research is needed to guide the optimal use of ICP monitoring in moderate TBI.

"Can differences in hospitalised mild traumatic brain injury (mTBI) outcomes at 12 months be predicted?"

OBJECTIVES

To identify risk factors for poor outcome one year post-mild traumatic brain injury (mTBI).

DESIGN

This study was a prospective observational study using consecutive adult hospital admissions with mTBI.

SUBJECTS

A total of 869 consecutive mTBI patients were enrolled in this study.

METHODS

All patients were reviewed by the specialist TBI rehabilitation team at six weeks and one year following mTBI. Demographic and injury data collected included: age, gender, TBI severity and Glasgow Coma Scale (GCS). At twelve months, global outcome was assessed by the Extended Glasgow Outcome Score (GOSE) and participation restriction by the Rivermead Head Injury Follow-up Questionnaire (RHFUQ) via semi-structured interview. An ordinal regression (OR) was used to identify associated factors for poor GOSE outcome and a linear regression for a poor RHFUQ outcome.

RESULTS

In the GOSE analysis, lower GCS (p < 0.001), medical comorbidity (p = 0.027), depression (p < 0.001) and male gender (p = 0.008) were identified as risk factors for poor outcome. The RHFUQ analysis identified: lower GCS (p = 0.002), female gender (p = 0.001) and injuries from assault (p = 0.003) were variables associated with worse social functioning at one year.

CONCLUSION

mTBI is associated with a significant impact upon the physical health and psychosocial function of affected individuals. The results of this study demonstrate that differences in mTBI outcome can be identified at twelve months post-mTBI and that certain features, particularly GCS, are associated with poorer outcomes.

Predicting Neuroworsening in Moderate Traumatic Brain Injury Less is more?

No applicable.

Predicting Neurological Deterioration after Moderate Traumatic Brain Injury: Development and Validation of a Prediction Model Based on Data Collected on Admission

Moderate traumatic brain injury (mTBI) is a heterogeneous entity that poorly defined in the literature. mTBI patients suffer from a high rate of neurological deterioration (ND), which is usually accompanied with poor prognosis and no definitive methods to predict. The purpose of this study is to develop and validate a prediction model that estimates the ND risk in mTBI patients using data collected on admission. Retrospectively collected 479 mTBI patients' data in our department were analyzed by logistic regression models. Bivariable logistic regression identified variables with a p-value<0.05. Multivariable logistic regression modeling with backward stepwise elimination was used to determine reduced parameters and establish a prediction model. The discrimination efficacy, calibration efficacy, and clinical utility of the prediction model were evaluated. The prediction model was validated using 176 patients' data collected from another hospital. Eight independent prognostic factors were identified: hypertension, Marshall's scale (types III and IV), subdural hemorrhage (SDH), location of contusion (LOC) (frontal and temporal contusions), Injury Severity Score (ISS) >13, D-dimer level >11.4 mg/L, Glasgow Coma Scale (GCS) score ≤10, and platelet (PLT) count ≤152×109/L. A prediction model was established and was shown as a nomogram. Using bootstrapping, internal validation showed that the C-statistic of the prediction model was 0.881 (95% confidence interval (CI): 0.849-0.909). The results of external validation showed that the nomogram could predict ND with an area under the curve (AUC) of 0.827 (95% CI: 0763.-0.880). The present model, based on simple parameters collected on admission, can predict the risk of ND in mTBI patients accurately. The high discriminative ability indicates the potential of this model for classifying mTBI patients according to ND risk.

Clinical Deterioration and Neurocritical Care Utilization in Pediatric Patients With Glasgow Coma Scale Score of 9-13 After Traumatic Brain Injury: Associations With Patient and Injury Characteristics

OBJECTIVES

To define the clinical characteristics of hospitalized children with moderate traumatic brain injury and identify factors associated with deterioration to severe traumatic brain injury.

DESIGN

Retrospective cohort study.

SETTING

Tertiary Children's Hospital with Level 1 Trauma Center designation.

PATIENTS

Inpatient children less than 18 years old with an International Classification of Diseases code for traumatic brain injury and an admission Glasgow Coma Scale score of 9-13.

MEASUREMENTS AND RESULTS

We queried the National Trauma Data Bank for our institutional data and identified 177 patients with moderate traumatic brain injury from 2010 to 2017. These patients were then linked to the electronic health record to obtain baseline and injury characteristics, laboratory data, serial Glasgow Coma Scale scores, CT findings, and neurocritical care interventions. Clinical deterioration was defined as greater than or equal to 2 recorded values of Glasgow Coma Scale scores less than or equal to 8 during the first 48 hours of hospitalization. Thirty-seven patients experienced deterioration. Children who deteriorated were more likely to require intubation (73% vs 26%), have generalized edema, subdural hematoma, or contusion on CT scan (30% vs 8%, 57% vs 37%, 35% vs 16%, respectively), receive hypertonic saline (38% vs 7%), undergo intracranial pressure monitoring (24% vs 0%), were more likely to be transferred to inpatient rehabilitation following hospital discharge (32% vs 5%), and incur greater costs of care ($25,568 vs $10,724) (all p < 0.01). There was no mortality in this cohort. Multivariable regression demonstrated that a higher Injury Severity Score, a higher initial international normalized ratio, and a lower admission Glasgow Coma Scale score were associated with deterioration to severe traumatic brain injury in the first 48 hours (p < 0.05 for all).

CONCLUSIONS

A substantial subset of children (21%) presenting with moderate traumatic brain injury at a Level 1 pediatric trauma center experienced deterioration in the first 48 hours, requiring additional resource utilization associated with increased cost of care. Deterioration was independently associated with an increased international normalized ratio higher Injury Severity Score, and a lower admission Glasgow Coma Scale score.

Surgical intervention and patient factors associated with poor outcomes in patients with traumatic brain injury at a tertiary care hospital in Uganda

OBJECTIVE

The purpose of this study was to investigate whether neurosurgical intervention for traumatic brain injury (TBI) is associated with reduced risks of death and clinical deterioration in a low-income country with a relatively high neurosurgical capacity. The authors further aimed to assess whether the association between surgical intervention and acute poor outcomes differs according to TBI severity and various patient factors.

METHODS

Using TBI registry data collected from a national referral hospital in Uganda between July 2016 and April 2020, the authors performed Cox regression analyses of poor outcomes in admitted patients who did and did not undergo surgery for TBI, with surgery as a time-varying treatment variable. Patients were further stratified by TBI severity using the admission Glasgow Coma Scale (GCS) score: mild TBI (mTBI; GCS scores 13-15), moderate TBI (moTBI; GCS scores 9-12), and severe TBI (sTBI; GCS scores 3-8). Poor outcomes constituted Glasgow Outcome Scale scores 2-3, deterioration in TBI severity between admission and discharge (e.g., mTBI to sTBI), and death. Several clinical and demographic variables were included as covariates. Patients were observed for outcomes from admission through hospital day 10.

RESULTS

Of 1544 patients included in the cohort, 369 (24%) had undergone surgery. Rates of poor outcomes were 4% (n = 13) for surgical patients and 12% (n = 144) among nonsurgical patients (n = 1175). Surgery was associated with a 59% reduction in the hazard for a poor outcome (HR 0.41, 95% CI 0.23-0.72). Age, pupillary nonreactivity, fall injury, and TBI severity at admission were significant covariates. In models stratifying by TBI severity at admission, patients with mTBI had an 80% reduction in the hazard for a poor outcome with surgery (HR 0.20, 95% CI 0.04-0.90), whereas those with sTBI had a 65% reduction (HR 0.35, 95% CI 0.14-0.89). Patients with moTBI had a statistically nonsignificant 56% reduction in hazard (HR 0.44, 95% CI 0.17-1.17).

CONCLUSIONS

In this setting, the association between surgery and rates of poor outcomes varied with TBI severity and was influenced by several factors. Patients presenting with mTBI had the greatest reduction in the hazard for a poor outcome, followed by those presenting with sTBI. However, patients with moTBI had a nonsignificant reduction in the hazard, indicating greater variability in outcomes and underscoring the need for closer monitoring of this population. These results highlight the importance of accurate, timely clinical evaluation throughout a patient's admission and can inform decisions about whether and when to perform surgery for TBI when resources are limited.

Neurocognitive and Affective Sequelae Following Complicated Mild and Moderate Traumatic Brain Injury: A Case Series

Background

Traumatic brain injury (TBI) leads to various sequelae that affect the day-to-day functioning of patients. However, there is a dearth of studies investigating these sequelae in complicated mild TBI and moderate TBI patients.

Objective

The prime objective of the present study was to present the neurocognitive and affective profile of complicated mild and moderate TBI patients along with to compare the neurocognitive and affective sequelae in patients with complicated mild and moderate TBI.

Materials and Methods

Twenty-two patients with complicated mild TBI and 17 patients with Moderate TBI, each with an intracranial lesion were recruited from level 1 trauma center in Varanasi. All patients were assessed with neurocognitive measures, Rivermead Post Concussive Symptoms Questionnaire, and Hospital Anxiety and Depression Scale. The patients' profiles were presented as clinical series using descriptive analysis. Further, comparison was done by using the Chi-square test and Fisher's exact test.

Results

Findings revealed that complicated mild TBI patients reported significantly higher psychological distress and post head injury symptoms in comparison to patients with moderate TBI. Further, the complicated mild TBI and moderate TBI groups showed differences with respect to verbal fluency, mental speed, and flexibility tasks.

Conclusions

Complicated mild TBI and moderate TBI groups have not differed significantly on most of the cognitive tasks. Furthermore, affective symptoms were found more prominent in complicated mild TBI group as compared to the moderate TBI group.

Ability of neutrophil-to-lymphocyte ratio to predict secondary neurological impairment in patients with mild to moderate head injury. A retrospective study

BACKGROUND

The main objective was to assess the performance of the neutrophil-lymphocyte ratio (NLR) for early prediction of delayed neurological impairment and cerebral contusion worsening in patients with mild-to-moderate traumatic brain injury (TBI).

METHODS

Over a 3-year period, every adult patient triaged to our level 1 trauma center with brain contusion and Glasgow Coma Scale (GCS) of 10 or greater were retrospectively included. The main study outcome was the occurrence of delayed clinical deterioration, defined as a GCS < 10 and/or a secondary need for mechanical ventilation, within 5 days after TBI. The performance of NLR for prediction of delayed clinical deterioration was assessed by receiver operating characteristic (ROC) curve.

RESULTS

Overall, 115 patients were included and 16 (14%) presented a delayed clinical deterioration. Overall, the NLR at ED admission was higher in patients who developed a delayed clinical deterioration (18 [12-29] vs 8 [5-13], p = 0.0003). The area under the ROC curves for NLR at ED admission in predicting delayed clinical deterioration was 0.79 [0.65-0.93] and NLR > 15 was found to be independently associated with the occurrence of delayed clinical deterioration (adjusted OR = 10.1 [95%CI: 2.3-45.6]).

CONCLUSION

The NLR at ED admission was independently associated with the occurrence of delayed clinical deterioration, although limited by a poor discriminative value by itself. Further studies are needed to test the predictive value of composite scoring systems including NLR for prevention of under-triage of patients with mild-to-moderate TBI.

White matter microstructure of the neural emotion regulation circuitry in mild traumatic brain injury

Emotion regulation is related to recovery after mild traumatic brain injury (mTBI). This longitudinal tractography study examined white matter tracts subserving emotion regulation across the spectrum of mTBI, with a focus on persistent symptoms. Four groups were examined: (a) symptomatic (n = 33) and (b) asymptomatic (n = 20) patients with uncomplicated mTBI (i.e., no lesions on computed tomography [CT]), (c) patients with CT-lesions in the frontal areas (n = 14), and (d) healthy controls (HC) (n = 20). Diffusion and conventional MRI were performed approximately 1- and 3-months post-injury. Whole-brain deterministic tractography followed by region of interest analyses was used to identify forceps minor (FM), uncinate fasciculus (UF), and cingulum bundle as tracts of interest. An adjusted version of the ExploreDTI Atlas Based Tractography method was used to obtain reliable tracts for every subject. Mean fractional anisotropy (FA), mean, radial and axial diffusivity (MD, RD, AD), and number of streamlines were studied per tract. Linear mixed models showed lower FA, and higher MD, and RD of the right UF in asymptomatic patients with uncomplicated mTBI relative to symptomatic patients and HC. Diffusion alterations were most pronounced in the group with frontal lesions on CT, particularly in the FM and UF; these effects increased over time. Within the group of patients with uncomplicated mTBI, there were no associations of diffusion measures with the number of symptoms nor with lesions on conventional MRI. In conclusion, mTBI can cause microstructural changes in emotion regulation tracts, however, no explanation was found for the presence of symptoms.

The effect of head cooling and remote ischemic conditioning on patients with traumatic brain injury

Cerebral impairment caused by an external force to the head is known as traumatic brain injury (TBI). The aim of this study was to determine the role of local hypothermia and remote ischemic conditioning (RIC) on oxidative stress, inflammatory response after TBI, and other involved variables. The present study is a clinical trial on 84 patients with TBI who were divided into 4 groups. The head cooling for 1.5 to 6 hr was performed in the first three days after TBI. RIC intervention was performed within the golden time after TBI in the form of four 5-min cycles with full cuff and 5 min of emptying of cuff. The group receiving the head cooling technique recovered better than the group receiving the RIC technique. Generally, combination of the two interventions of head cooling and RIC techniques is more effective on the improvement of clinical status of patients than each separate technique.

•

The effect of the head cooling method in controlling secondary injury in patients with TBI.

•

The effect of the RIC method in controlling secondary injury in patients with TBI.

•

Comparison of two interventions of head cooling and RIC.

•

Evaluation of clinical and paraclinical parameters.

Emergency department management of traumatic brain injuries: A resource tiered review

Introduction

Traumatic brain injury is a leading cause of death and disability globally with an estimated African incidence of approximately 8 million cases annually. A person suffering from a TBI is often aged 20–30, contributing to sustained disability and large negative economic impacts of TBI. Effective emergency care has the potential to decrease morbidity from this multisystem trauma.

Objectives

Identify and summarize key recommendations for emergency care of patients with traumatic brain injuries using a resource tiered framework.

Methods

A literature review was conducted on clinical care of brain-injured patients in resource-limited settings, with a focus on the first 48 h of injury. Using the AfJEM resource tiered review and PRISMA guidelines, articles were identified and used to describe best practice care and management of the brain-injured patient in resource-limited settings.

Key recommendations

Optimal management of the brain-injured patient begins with early and appropriate triage. A complete history and physical can identify high-risk patients who present with mild or moderate TBI. Clinical decision rules can aid in the identification of low-risk patients who require no neuroimaging or only a brief period of observation. The management of the severely brain-injured patient requires a systematic approach focused on the avoidance of secondary injury, including hypotension, hypoxia, and hypoglycaemia. Most interventions to prevent secondary injury can be implemented at all facility levels. Urgent neuroimaging is recommended for patients with severe TBI followed by consultation with a neurosurgeon and transfer to an intensive care unit. The high incidence and poor outcomes of traumatic brain injury in Africa make this subject an important focus for future research and intervention to further guide optimal clinical care.

The extravasation of contrast as a predictor of cerebral hemorrhagic contusion expansion, poor neurological outcome and mortality after traumatic brain injury: A systematic review and meta-analysis

Background

The active extravasation of contrast on CT angiography (CTA) in primary intracerebral hemorrhages (ICH) is recognized as a predictive factor for ICH expansion, unfavorable outcomes and mortality. However, few studies have been conducted on the setting of traumatic brain injury (TBI).

Purpose

To perform a literature systematic review and meta-analysis of the association of contrast extravasation on cerebral hemorrhagic contusion expansion, neurological outcomes and mortality.

Data sources

The PubMed, Cochrane Library, Medline, Scielo, VHL and IBECS databases up to September 21, 2019, were searched for eligible studies.

Study selection

A total of 505 individual titles and abstracts were identified and screened. A total of 36 were selected for full text analysis, out of which 4 fulfilled all inclusion and exclusion criteria.

Data analysis

All 4 studies yielded point estimates suggestive of higher risk for hematoma expansion with contrast extravasation and the summary RR was 5.75 (95%CI 2.74–10.47, p<0.001). Contrast extravasation was also associated with worse neurological outcomes (RR 3.25, 95%CI 2.24–4.73, p<0.001) and higher mortality (RR 2.77, 95%CI 1.03–7.47, p = 0.04).

Data synthesis

This study is a Systematic Review and Meta-Analysis revealed the extravasation of contrast is a useful imaging sign to predict hematoma expansion, worse neurological outcomes and higher mortality.

Limitations

Only four articles were selected.

Conclusions

The extravasation of contrast in the setting of TBI is a useful imaging sign to predict hematoma expansion, worse neurological outcomes and higher mortality.

Latent Class Analysis to Classify Injury Severity in Pediatric Traumatic Brain Injury

Heterogeneity of injury severity among children with traumatic brain injury (TBI) classified by the Glasgow Coma Scale (GCS) makes comparisons across research cohorts, enrollment in clinical trials, and clinical predictions of outcomes difficult. The present study uses latent class analysis (LCA) to distinguish severity subgroups from a prospective cohort of 433 children 2.5-15 years of age with TBI who were recruited from two level 1 pediatric trauma centers. Indicator variables available within 48 h post-injury including emergency department (ED) GCS, hospital motor GCS, Abbreviated Injury Score (AIS), Rotterdam Score, hypotension in the ED, and pre-hospital loss of consciousness, intubation, seizures, and sedation were evaluated to define subgroups. To understand whether latent class subgroups were predictive of clinically meaningful outcomes, the Pediatric Injury Functional Outcome Scale (PIFOS) at 6 and 12 months, and the Behavior Rating Inventory of Executive Function at 12 months, were compared across subgroups. Then, outcomes were examined by GCS (primary) and AIS (secondary) classification alone to assess whether LCA provided improved outcome prediction. LCA identified four distinct increasing severity subgroups (1-4). Unlike GCS classification, mean outcome differences on PIFOS at 6 months showed decreasing function across classes. PIFOS differences relative to the lowest latent class (LC1) were: LC2 2.27 (0.83, 3.72), LC3 3.99 (1.88, 6.10), and LC4 11.2 (7.04, 15.4). Differences in 12 month outcomes were seen between the most and least severely injured groups. Differences in outcomes in relation to AIS were restricted to the most and less severely injured at both time points. This study distinguished four latent classes that are clinically meaningful, distinguished a more homogenous severe injury group, and separated children by 6-month functional outcomes better than GCS alone. Systematic reporting of these variables would allow comparisons across research cohorts, potentially improve clinical predictions, and increase sensitivity to treatment effects in clinical trials.

Functional outcome is tied to dynamic brain states after mild to moderate traumatic brain injury

The current study set out to investigate the dynamic functional connectome in relation to long-term recovery after mild to moderate traumatic brain injury (TBI). Longitudinal resting-state functional MRI data were collected (at 1 and 3 months postinjury) from a prospectively enrolled cohort consisting of 68 patients with TBI (92% mild TBI) and 20 healthy subjects. Patients underwent a neuropsychological assessment at 3 months postinjury. Outcome was measured using the Glasgow Outcome Scale Extended (GOS-E) at 6 months postinjury. The 57 patients who completed the GOS-E were classified as recovered completely (GOS-E = 8; n = 37) or incompletely (GOS-E < 8; n = 20). Neuropsychological test scores were similar for all groups. Patients with incomplete recovery spent less time in a segregated brain state compared to recovered patients during the second visit. Also, these patients moved less frequently from one meta-state to another as compared to healthy controls and recovered patients. Furthermore, incomplete recovery was associated with disruptions in cyclic state transition patterns, called attractors, during both visits. This study demonstrates that poor long-term functional recovery is associated with alterations in dynamics between brain networks, which becomes more marked as a function of time. These results could be related to psychological processes rather than injury-effects, which is an interesting area for further work. Another natural progression of the current study is to examine whether these dynamic measures can be used to monitor treatment effects.

Predicting outcome in patients with moderate to severe traumatic brain injury using electroencephalography

BACKGROUND

Better outcome prediction could assist in reliable quantification and classification of traumatic brain injury (TBI) severity to support clinical decision-making. We developed a multifactorial model combining quantitative electroencephalography (qEEG) measurements and clinically relevant parameters as proof of concept for outcome prediction of patients with moderate to severe TBI.

METHODS

Continuous EEG measurements were performed during the first 7 days of ICU admission. Patient outcome at 12 months was dichotomized based on the Extended Glasgow Outcome Score (GOSE) as poor (GOSE 1-2) or good (GOSE 3-8). Twenty-three qEEG features were extracted. Prediction models were created using a Random Forest classifier based on qEEG features, age, and mean arterial blood pressure (MAP) at 24, 48, 72, and 96 h after TBI and combinations of two time intervals. After optimization of the models, we added parameters from the International Mission for Prognosis And Clinical Trial Design (IMPACT) predictor, existing of clinical, CT, and laboratory parameters at admission. Furthermore, we compared our best models to the online IMPACT predictor.

RESULTS

Fifty-seven patients with moderate to severe TBI were included and divided into a training set (n = 38) and a validation set (n = 19). Our best model included eight qEEG parameters and MAP at 72 and 96 h after TBI, age, and nine other IMPACT parameters. This model had high predictive ability for poor outcome on both the training set using leave-one-out (area under the receiver operating characteristic curve (AUC) = 0.94, specificity 100%, sensitivity 75%) and validation set (AUC = 0.81, specificity 75%, sensitivity 100%). The IMPACT predictor independently predicted both groups with an AUC of 0.74 (specificity 81%, sensitivity 65%) and 0.84 (sensitivity 88%, specificity 73%), respectively.

CONCLUSIONS

Our study shows the potential of multifactorial Random Forest models using qEEG parameters to predict outcome in patients with moderate to severe TBI.

Clinical Epidemiology of Adults With Moderate Traumatic Brain Injury

OBJECTIVES

To characterize admission patterns, treatments, and outcomes among patients with moderate traumatic brain injury.

DESIGN

Retrospective cohort study.

SETTING

National Trauma Data Bank.

PATIENTS

Adults (age > 18 yr) with moderate traumatic brain injury (International Classification of Diseases, Ninth revision codes and admission Glasgow Coma Scale score of 9-13) in the National Trauma Data Bank between 2007 and 2014.

INTERVENTIONS

None.

MEASUREMENT AND MAIN RESULTS

Demographics, mechanism of injury, hospital course, and facility characteristics were examined. Admission characteristics associated with discharge outcomes were analyzed using multivariable Poisson regression models. Of 114,066 patients, most were white (62%), male (69%), and had median admission Glasgow Coma Scale score of 12 (interquartile range, 10-13). Seventy-seven percent had isolated traumatic brain injury. Concussion, which accounted for 25% of moderate traumatic brain injury, was the most frequent traumatic brain injury diagnosis. Fourteen percent received mechanical ventilation, and 66% were admitted to ICU. Over 50% received care at a community hospital. Seven percent died, and 32% had a poor outcome, including those with Glasgow Coma Scale score of 13. Compared with patients 18-44 years, patients 45-64 years were twice as likely (adjusted relative risk, 1.97; 95% CI, 1.92-2.02) and patients over 80 years were five times as likely (adjusted relative risk, 4.66; 95% CI, 4.55-4.76) to have a poor outcome. Patients with a poor discharge outcome were more likely to have had hypotension at admission (adjusted relative risk, 1.10; 95% CI, 1.06-1.14), lower admission Glasgow Coma Scale (adjusted relative risk, 1.37; 95% CI, 1.34-1.40), higher Injury Severity Score (adjusted relative risk, 2.97; 95% CI, 2.86-3.09), and polytrauma (adjusted relative risk, 1.05; 95% CI, 1.02-1.07), compared with those without poor discharge outcomes.

CONCLUSIONS

Many patients with moderate traumatic brain injury deteriorate, require neurocritical care, and experience poor outcomes. Optimization of care and outcomes for this vulnerable group of patients are urgently needed.

Predictive Value of Leakage Signs for Pure Brain Contusional Hematoma Expansion

Hematoma expansion is an important consideration in patients with traumatic brain injury (TBI). No precise methods are available, however, for predicting the expansion of TBI-related hematoma. We aimed to establish a more sensitive predictor for contusional hematoma expansion based on the presence of leakage signs on computed tomography angiography (CTA). Thirty-three patients with pure contusion were included in the analysis (age: 64.1 ± 20.6 years; 24 men and 7 women). We compared Hounsfield unit (HU) values within set regions of interest (diameter, 10 mm) between serial CTA phase and delayed-phase CT images (5 min after CTA phase). Positive leakage signs were defined as >10% increases in HU value. Hematoma expansion was determined using plain CT at 24 h in patients who did not undergo emergent surgery. Glasgow Coma Scale (GCS) scores measured at admission and 24 h after admission were also compared. Leakage signs predicted hematoma expansion with high specificity (100%) and sensitivity (92.8%). Patients with positive leakage signs had significant decreases in GCS scores 24 h after the scan (GCS change: positive group, -0.92 ± 0.59; negative group, 1.14 ± 0.82). Positive leakage signs were clearly associated with surgical hematoma removal. Five patients without hematoma who had positive leakage signs at admission exhibited significant expansion of hematomas 24 h later. Our results indicate that leakage signs had high sensitivity in the prediction of contusional hematoma expansion and were significantly associated with delayed neurological deterioration and the necessity of surgical removal.

Cost-Effectiveness of Biomarker Screening for Traumatic Brain Injury

Intracranial hemorrhage after traumatic brain injury (TBI) can be life threatening and requires prompt diagnosis. Computed tomography (CT) scans are a rapid and accurate way to evaluate for hemorrhage. In patients with mild and moderate TBI, however, in whom the incidence of intracranial pathology is low, scanning every patient with CT can be costly. The Food and Drug Administration recently approved a novel biomarker screen, the Banyan Trauma Indicator (BTI), to help streamline the decision for CT scanning in mild to moderate TBI. The BTI screen diagnoses intracranial lesions with a sensitivity and specificity of 97.5% and 99.6%, respectively. We performed cost analyses of the BTI screen to determine the threshold of cost-effectiveness, compared with application of clinical decision rules or routine CT scans, for cases of mild or moderate TBI. With a 0.104 probability of an intracranial lesion in mild TBI, the biomarker screen is cost-effective if the cost is $308.96 or below per test. In moderate TBI, because of the greater prevalence of intracranial lesions at 0.663, there is a lower need for screening, and BTI becomes cost-effective up to $73.41 per test.

Comparing Region of Interest versus Voxel-Wise Diffusion Tensor Imaging Analytic Methods in Mild and Moderate Traumatic Brain Injury: A Systematic Review and Meta-Analysis

Diffusion tensor imaging is a magnetic resonance imaging technique that is uniquely capable of detecting microstructural tissue damage in mild and moderate traumatic brain injuries (TBIs). To date, it remains unknown if two common analytic techniques, region of interest (ROI) versus voxel-wise (VW) analyses, detect injury in similar locations. The purpose of this systematic review and meta-analysis was to directly compare the regions of abnormality elucidated by each method. Twenty-seven ROI and 11 VW studies met our inclusion criteria. Our ROI meta-analysis identified 11 regions, including the splenium of the corpus callosum, where fractional anisotropy (FA) was significantly decreased in TBI patients, compared with controls. Likewise, we identified higher mean diffusivity/apparent diffusivity constant in the genu, body, and splenium of the corpus callosum. Alternatively, our VW analysis identified one region of high FA in the right superior longitudinal fasciculus and seven regions of low FA, with the two largest located in the corpus callosum. High mean diffusivity and high radial diffusivity, both in the right inferior longitudinal fasciculus, also was revealed by our VW analysis. Moreover, we have shown that the magnitude of damage in the corpus callosum revealed by ROI analysis (z = -3.15) is greater than that demonstrated by VW analysis (z = -1.41). Overall, this study indicates that both ROI and VW analytic methods are sensitive to low FA in the corpus callosum; however, the ROI method has more power to detect the full extent of tissue abnormality in the corpus callosum. More research utilizing standardized methods and reporting is essential to fully characterize the extent to which ROI and VW analyses can concordantly detect other locations of pathology in mild and moderate TBI patients.

modCHIMERA: a novel murine closed-head model of moderate traumatic brain injury

Traumatic brain injury is a major source of global disability and mortality. Preclinical TBI models are a crucial component of therapeutic investigation. We report a tunable, monitored model of murine non-surgical, diffuse closed-head injury—modCHIMERA—characterized by impact as well as linear and rotational acceleration. modCHIMERA is based on the Closed-Head Impact Model of Engineered Rotational Acceleration (CHIMERA) platform. We tested this model at 2 energy levels: 1.7 and 2.1 Joules—substantially higher than previously reported for this system. Kinematic analysis demonstrated linear acceleration exceeding injury thresholds in humans, although outcome metrics tracked impact energy more closely than kinematic parameters. Acute severity metrics were consistent with a complicated-mild or moderate TBI, a clinical population characterized by high morbidity but potentially reversible pathology. Axonal injury was multifocal and bilateral, neuronal death was detected in the hippocampus, and microglial neuroinflammation was prominent. Acute functional analysis revealed prolonged post-injury unconsciousness, and decreased spontaneous behavior and stimulated neurological scores. Neurobehavioral deficits were demonstrated in spatial learning/memory and socialization at 1-month. The overall injury profile of modCHIMERA corresponds with the range responsible for a substantial portion of TBI-related disability in humans. modCHIMERA should provide a reliable platform for efficient analysis of TBI pathophysiology and testing of treatment modalities.

Cerebral Contusion: An Investigation of Etiology, Risk Factors, Related Diagnoses, and the Surgical Management at a Major Government Hospital in Cambodia

Introduction

Cerebral contusions are a common type of injury among the Cambodian population, mostly due to road traffic accidents. This article aims to assess various aspects around brain contusion focusing on the condition at admission, residing province, mechanism and time of injury, age and sex distribution with differing helmet wearing, and alcohol consumption patterns. Hospitalization-related data such as treatment and outcome were analyzed.

Methods

This was a retrospective analysis of 406 cases who have been admitted during the period between May 2013 and May 2016.

Results

Two hundred and ninety-five (75.51%) of the patients came from rural areas, 312 (76.84%) were male (mean age 31.17 ± 12.90 years for males and 38.5 ± 16.29 years for females). The average hospital stay amounted to 10.51 ± 6.67 days. One hundred and eight two cases (52.29%) happened between 4.00 and 11.00 p.m. Three hundred and nineteen (79%) of the injured patients were motorcycle drivers and 18% pedestrians. Male patients had an alcohol involvement in 135 (49.45%) (females in 5 [6.25%]) cases and 26 (10%) wore a helmet (females in 5 [6.25%]). Surgery was performed in 82 cases, specifically craniotomy and craniectomy +/- elevation of a depressed skull fracture. Two hundred and ninety-six (73.09%) patients showed related second diagnosis, mostly subdural hematoma in 96 (32.43%) and epidural hematoma in 63 (21.28%) cases. Fifty patients (13.16%) had a Glasgow Coma Scale of 3-8. 92 (24.21%) of 9-12 and 238 (62.63%) of 13-15 on admission. Most of the patients were discharged with an improved status 324 (91.52%) according to the Glasgow Outcome Scale 4 or 5.

Conclusion

The severity and resulting neurologic impairment of cerebral contusions show the importance of more in-depth research and prevention programs.

Critical Care Resource Utilization and Outcomes of Children With Moderate Traumatic Brain Injury

OBJECTIVES

To characterize admission patterns, critical care resource utilization, and outcomes in moderate pediatric traumatic brain injury.

DESIGN

Retrospective cohort study.

SETTING

National Trauma Data Bank.

PATIENTS

Children under 18 years old with a diagnosis of moderate traumatic brain injury (admission Glasgow Coma Scale score of 9-13) in the National Trauma Data Bank between 2007 and 2014.

MEASUREMENT AND MAIN RESULTS

We examined clinical characteristics, critical care resource utilization, and discharge outcomes. Poor outcomes were defined as discharge to hospice, skilled nursing facility, long-term acute care, or death. We examined 20,010 patient records. Patients were 9 years old (interquartile range, 2-15 yr), male (64%) with isolated traumatic brain injury (81%), Glasgow Coma Scale score of 12, head Abbreviated Injury Scale score of 3, and Injury Severity Score of 10. Majority (34%) were admitted to nontrauma hospitals. Critical care utilization was 58.7% including 11.5% mechanical ventilation and 3.2% intracranial pressure monitoring. Compared to patients with Glasgow Coma Scale score of 13, admission Glasgow Coma Scale score of 9 was associated with greater critical care resource utilization, such as ICU admission (72% vs 50%), intracranial pressure monitoring (7% vs 1.8%), mechanical ventilation (21% vs 6%), and intracranial surgery (10% vs 5%). Most patients (70%) were discharged to home, but up to one third had poor outcomes. Older age group had a higher risk of poor outcomes (10-14 yr; adjusted relative risk, 1.32; 95% CI, 1.13-1.54; 15-17 yr; adjusted relative risk, 2.39; 95% CI, 2.12-2.70). Poor outcomes occurred with lower Glasgow Coma Scale (Glasgow Coma Scale score of 9 vs Glasgow Coma Scale score of 13: adjusted relative risk, 2.89; 95% CI, 2.47-3.38), higher Injury Severity Score (Injury Severity Score of ≥ 16 vs Injury Severity Score of < 9: adjusted relative risk, 8.10; 95% CI 6.27-10.45), and polytrauma (adjusted relative risk, 1.40; 95% CI, 1.22-1.61).

CONCLUSIONS

Critical care resources are used in more than half of all moderate pediatric traumatic brain injury, and many receive care at nontrauma hospitals. Up to one third of moderate pediatric traumatic brain injury have poor outcomes, risk factors for which include age greater than 10 years, lower admission Glasgow Coma Scale, higher Injury Severity Score, and polytrauma. There is urgent need to optimize triage, care, and outcomes in this vulnerable population.

[Pathophysiology of intracranial injuries]

Traumatic brain injury (TBI) constitutes a heterogeneous condition that affects the most complex organ of the human body. It is commonly classified by its location as focal injury (e.g. epidural hematoma) and diffuse injury (e.g. diffuse axonal shearing injury) as well as by primary and secondary tissue injury. Accordingly, direct mechanical force causes the primary insult. The tissue damage occurring afterwards is subsumed under the term secondary brain damage. Some of these processes are overlapping and include in the early phase local cerebral ischemia resulting in excitotoxicity, which together with the triggered neuroinflammatory cascade causes the formation of cerebral edema and ultimately increased intracranial pressure once the intracranial compliance is exhausted. In survivors the long-term sequelae of the late stage include seizures caused by synaptic reorganization (incidence depending on the severity of TBI), persistent neuroinflammation promoting further neurodegeneration and increased risk for Alzheimer's disease probably because of TBI-related protein misfolding (tauopathy). Acute phase biomarkers of TBI should ideally originate from the injured brain. They should help distinguish disease severity and predict morbidity and mortality; however, the most commonly used biomarkers (S-100β and neurone-specific enolase) show a low specificity. In theory their successors (i. e. GFAP, pNF-H) seem more specific; however, these "new kids on the block" still need to be thoroughly investigated in large scale studies.

Therapeutic benefits of phosphodiesterase 4B inhibition after traumatic brain injury

Traumatic brain injury (TBI) initiates a deleterious inflammatory response that exacerbates pathology and worsens outcome. This inflammatory response is partially mediated by a reduction in cAMP and a concomitant upregulation of cAMP-hydrolyzing phosphodiesterases (PDEs) acutely after TBI. The PDE4B subfamily, specifically PDE4B2, has been found to regulate cAMP in inflammatory cells, such as neutrophils, macrophages and microglia. To determine if PDE4B regulates inflammation and subsequent pathology after TBI, adult male Sprague Dawley rats received sham surgery or moderate parasagittal fluid-percussion brain injury (2 ± 0.2 atm) and were then treated with a PDE4B - selective inhibitor, A33, or vehicle for up to 3 days post-surgery. Treatment with A33 reduced markers of microglial activation and neutrophil infiltration at 3 and 24 hrs after TBI, respectively. A33 treatment also reduced cortical contusion volume at 3 days post-injury. To determine whether this treatment paradigm attenuated TBI-induced behavioral deficits, animals were evaluated over a period of 6 weeks after surgery for forelimb placement asymmetry, contextual fear conditioning, water maze performance and spatial working memory. A33 treatment significantly improved contextual fear conditioning and water maze retention at 24 hrs post-training. However, this treatment did not rescue sensorimotor or working memory deficits. At 2 months after surgery, atrophy and neuronal loss were measured. A33 treatment significantly reduced neuronal loss in the pericontusional cortex and hippocampal CA3 region. This treatment paradigm also reduced cortical, but not hippocampal, atrophy. Overall, these results suggest that acute PDE4B inhibition may be a viable treatment to reduce inflammation, pathology and memory deficits after TBI.

Serum Concentrations of Ubiquitin C-Terminal Hydrolase-L1 and Glial Fibrillary Acidic Protein after Pediatric Traumatic Brain Injury

Objective reliable markers to assess traumatic brain injury (TBI) and predict outcome soon after injury are a highly needed tool for optimizing management of pediatric TBI. We assessed serum concentrations of Glial Fibrillary Acidic Protein (GFAP) and Ubiquitin C-Terminal Hydrolase-L1 (UCH-L1) in a cohort of 45 children with clinical diagnosis of TBI (Glasgow Coma Scale [GCS] 3–15) and 40 healthy subjects, evaluated their associations with clinical characteristics and outcomes, and compared their performance to previously published data on two well-studied blood biomarkers, S100B and MBP. We observed higher serum levels of GFAP and UCH-L1 in brain-injured children compared with controls and also demonstrated a step-wise increase of biomarker concentrations over the continuum of severity from mild to severe TBI. Furthermore, while we found that only the neuronal biomarker UCH-L1 holds potential to detect acute intracranial lesions as assessed by computed tomography (CT), both markers were substantially increased in TBI patients even with a normal CT suggesting the presence of undetected microstructural injuries. Serum UCH-L1 and GFAP concentrations also strongly predicted poor outcome and performed better than S100B and MBP. Our results point to a role of GFAP and UCH-L1 as candidate biomarkers for pediatric TBI. Further studies are warranted.