Brain Trauma Research Articles

Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study.

Currently, the treatment and care of patients with traumatic brain injury (TBI) are intractable health problems worldwide and greatly increase the medical burden in society. However, machine learning-based algorithms and the use of a large amount of data accumulated in the clinic in the past can predict the hospitalization time of patients with brain injury in advance, so as to design a reasonable arrangement of resources and effectively reduce the medical burden of society. Especially in China, where medical resources are so tight, this method has important application value. We aimed to develop a system based on a machine learning model for predicting the length of hospitalization of patients with TBI, which is available to patients, nurses, and physicians. We collected information on 1128 patients who received treatment at the Neurosurgery Center of the Second Affiliated Hospital of Anhui Medical University from May 2017 to May 2022, and we trained and tested the machine learning model using 5 cross-validations to avoid overfitting; 28 types of independent variables were used as input variables in the machine learning model, and the length of hospitalization was used as the output variables. Once the models were trained, we obtained the error and goodness of fit (R2) of each machine learning model from the 5 rounds of cross-validation and compared them to select the best predictive model to be encapsulated in the developed system. In addition, we externally tested the models using clinical data related to patients treated at the First Affiliated Hospital of Anhui Medical University from June 2021 to February 2022. Six machine learning models were built, including support vector regression machine, convolutional neural network, back propagation neural network, random forest, logistic regression, and multilayer perceptron. Among them, the support vector regression has the smallest error of 10.22% on the test set, the highest goodness of fit of 90.4%, and all performances are the best among the 6 models. In addition, we used external datasets to verify the experimental results of these 6 models in order to avoid experimental chance, and the support vector regression machine eventually performed the best in the external datasets. Therefore, we chose to encapsulate the support vector regression machine into our system for predicting the length of stay of patients with traumatic brain trauma. Finally, we made the developed system available to patients, nurses, and physicians, and the satisfaction questionnaire showed that patients, nurses, and physicians agreed that the system was effective in providing clinical decisions to help patients, nurses, and physicians. This study shows that the support vector regression machine model developed using machine learning methods can accurately predict the length of hospitalization of patients with TBI, and the developed prediction system has strong clinical use.

Prehospital Lactate Levels Obtained in the Ambulance and Prediction of 2-Day In-Hospital Mortality in Patients With Traumatic Brain Injury.

To analyze the ability of prehospital lactate levels to predict 2-day in-hospital mortality in patients with traumatic brain injury (TBI), severe TBI (Glasgow Coma Scale (GCS) ≤ 8 points), and mild or moderate TBI (GCS ≥ 9 points). Second, 90-day mortality was also explored. This was a prospective, multicenter, emergency medical services (EMSs) delivery, ambulance-based, derivation-validation cohort study developed in 5 tertiary hospitals (Spain), from November 1, 2019, to July 31, 2022. Patients were recruited from among all phone requests for emergency assistance among adults who were later evacuated to referral hospitals with acute TBI. The exclusion criteria were minors, pregnancy, trauma patients without TBI, delayed presentations, patients were discharged in situ, participants with cardiac arrest, and unavailability to obtain a blood sample. The primary outcome was all-cause 2-day in-hospital mortality and 90-day mortality in patients with moderate or mild TBI compared with patients with severe TBI. Clinical and analytical parameters (lactate and glucose) were collected. The discriminative power (area under the receiver operating characteristic curve [AUC]) and calibration curve were calculated for 2 geographically separated cohorts. A total of 509 patients were ultimately included. The median age was 58 years (interquartile range: 43-75), and 167 patients were female (32.8%). The primary outcome occurred in 9 (2.2%) of 415 patients with moderate or mild TBI and in 42 (44.7%) of 94 patients with severe TBI. The predictive capacity of the lactate concentration was globally validated in our cohort, for which the AUC was 0.874 (95% CI 0.805-0.942) for the validation cohort. The ability of the GCS score to predict lactate concentration was greater in patients with a GCS score ≥9 points, with an AUC of 0.925 (95% CI 0.808-1.000) and a negative predictive value of 99.09 (95% CI 98.55-99.64) in the validation cohort. Our results show the benefit of using lactate in all patients with TBI, particularly in those with a GCS ≥9 points. Routine incorporation of lactate in the screening of patients with TBI could presumably reduce mortality and deterioration rates because of quicker and better identification of patients at risk.

Relationship Between Brain CT Scan Findings, Consciousness Levels, and Outcomes in Brain Trauma Patients: A Cross-Sectional Study

Background: Trauma is the fourth leading cause of mortality worldwide. The Glasgow Coma Scale (GCS) is a crucial tool for evaluating the consciousness levels of trauma patients, serving as a diagnostic instrument for assessing injury severity and the condition of brain trauma patients. Additionally, Computed Tomography (CT) Scans are the most practical and accurate imaging modality for diagnosing the types and locations of lesions in cases of brain trauma in the emergency department. The study was designed to explore the correlation between pathological findings in Brain CT scans and the consciousness levels of brain trauma patients, as assessed by the GCS. Methods: This cross-sectional descriptive-analytical study investigated 200 brain trauma patients admitted to the emergency department of Khatam Al-Anbia Hospital in Zahedan. Upon arrival, an emergency medicine specialist recorded the patients’ consciousness levels based on the GCS criteria. After performing a CT scan and determining the type and location of the lesion, a radiologist, emergency medicine, and neurosurgery specialists determined the continuation of the treatment process. Subsequently, patients requiring admission to the neurosurgery department or intensive care unit were monitored. The final patient status (deceased/survivor) was tracked at the end of the treatment period and added to the checklist. Following data coding and entry into the computer, descriptive statistics, including mean, standard deviation, and confidence intervals, were used for evaluation. Additionally, the Chi-square and independent t-tests, along with SPSS 22, were employed to examine the relationship between consciousness levels and CT scan results. Results: Three out of 200 patients were excluded from the study due to transfers to other medical facilities during treatment. The mean age of the remaining patients was 27.94 ± 11.25. Results showed that 67.5% of all patients survived, while 32.4% succumbed to injuries. The initial GCS score was 14-15 for 83 patients (42.1%), 9-13 for 69 patients (35%), and 3-8 for 45 patients (22.8%). Brain CT scans of trauma patients predominantly revealed subdural hematomas in 48 patients (24.3%). In the examination of the relationship between the mechanism of brain trauma and mortality, 75% of patients involved in falls and 65.5% in accidents survived, while all patients who experienced other causes of trauma survived. Ultimately, no significant difference was observed between the mechanism of brain trauma and patient mortality (p=0.318). Furthermore, all patients with a GCS score of 14-15 (100%), 85.6% with a GCS score of 9-13, and 35.5% with a GCS score of 3-8 survived. A significant relationship between initial consciousness levels and mortality rates in the emergency department was evident (p=0.001). Statistical analysis indicated that 66.7% of patients with subdural hematomas, 75% with epidural hematomas, 81% with cerebral contusions, 35.3% with intracerebral hemorrhages (ICH), and 92.3% with diffuse axonal injuries (DAI) ultimately survived, signifying a significant relationship between CT scan results and mortality rates (p=0.01). Moreover, the highest mortality rate was observed in patients with ICH, with a frequency of 64.7%. Conclusions: Simultaneously evaluating consciousness levels using the GCS, along with considering the type of pathology identified in CT scans of brain trauma patients admitted to the emergency department, significantly aids in determining patient mortality rates. Promptly initiating the patient’s treatment process can lead to reduced complications from brain trauma and, in some cases, decreased mortality.

Chronic subdural hematoma that may be caused by nephrotic syndrome: a case report and literature review.

Chronic subdural hematoma (CSDH) is a common complication of neurosurgery. Craniocerebral trauma is the likely cause. There are no reports relating CSDH with nephrotic syndrome. Its pathogenesis is very rare, and there are no previous reports on treatments for this disease. We report a case of chronic subdural hematoma that may be caused by nephrotic syndrome and review the previous literature on this subject. We report a rare case of chronic subdural hematoma that may be caused by nephrotic syndrome. After the patient was admitted to the hospital, relevant laboratory tests were conducted, and a large amount of protein was detected in the patient's urine, indicating hypoproteinaemia and hyperlipidemia. The patient was diagnosed with nephrotic syndrome. After the exclusion of related surgical contraindications, the patient underwent trepanation and drainage of the chronic subdural hematoma. Subsequent treatment with oral atorvastatin was provided after surgery. The patient was transferred to the nephrology department for further treatment of nephrotic syndrome if his neurological condition improved. No neurological sequelae were detected at the follow-up visit 3 months after the operation. Chronic subdural hematomas are rarely caused by nephrotic syndrome. Trepanation and drainage may be considered for patients confirmed to have adequate hematoma liquefaction on imaging and who can tolerate craniotomy. Atorvastatin should be supplemented as prophylactic treatment after the operation. Nephrotic syndrome should be treated as soon as the patient's neurological condition is stable.

Ghost cells: Wilder Penfield and the characterization of glia and glial pathology, 1924–1932

ABSTRACT Wilder Penfield is known for his contributions to the structure–function relationship of the brain and for the surgical treatment of focal epilepsy. Less well known are his contributions to the study of glial cells and his investigation of their role in human neuropathology. Penfield learned the gold and silver methods for staining neurons, glial cells, and their projections from Charles Sherrington and Pío del Río-Hortega. He and his colleague William Cone established a laboratory for the study of glial cells and human neuropathology using metallic stains, initially at the Presbyterian Hospital in New York City in 1925, and then at the Montreal Neurological Institute in 1928. Penfield, Cone, and their research fellows, building on the findings of Río-Hortega, confirmed the existence of oligodendrocytes and their relationship with myelin, and investigated the putative mesodermal origin of microglia. They discovered the reaction of oligodendrocytes to pathological stressors, and the phagocytic activity of microglia in human gliomas. In this article, we argue that Penfield’s studies of astrocytes, oligodendrocytes, and microglia, and their responses to craniocerebral trauma, epilepsy, malignant brain tumors, and other pathologies of the central nervous system inaugurated a new era in clinical neurocytology and neuropathology.

Cognitive Motor Dissociation in Disorders of Consciousness

BackgroundPatients with brain injury who are unresponsive to commands may perform cognitive tasks that are detected on functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This phenomenon, known as cognitive motor dissociation, has not been systematically studied in a large cohort of persons with disorders of consciousness.MethodsIn this prospective cohort study conducted at six international centers, we collected clinical, behavioral, and task-based fMRI and EEG data from a convenience sample of 353 adults with disorders of consciousness. We assessed the response to commands on task-based fMRI or EEG in participants without an observable response to verbal commands (i.e., those with a behavioral diagnosis of coma, vegetative state, or minimally conscious state–minus) and in participants with an observable response to verbal commands. The presence or absence of an observable response to commands was assessed with the use of the Coma Recovery Scale–Revised (CRS-R).ResultsData from fMRI only or EEG only were available for 65% of the participants, and data from both fMRI and EEG were available for 35%. The median age of the participants was 37.9 years, the median time between brain injury and assessment with the CRS-R was 7.9 months (25% of the participants were assessed with the CRS-R within 28 days after injury), and brain trauma was an etiologic factor in 50%. We detected cognitive motor dissociation in 60 of the 241 participants (25%) without an observable response to commands, of whom 11 had been assessed with the use of fMRI only, 13 with the use of EEG only, and 36 with the use of both techniques. Cognitive motor dissociation was associated with younger age, longer time since injury, and brain trauma as an etiologic factor. In contrast, responses on task-based fMRI or EEG occurred in 43 of 112 participants (38%) with an observable response to verbal commands.ConclusionsApproximately one in four participants without an observable response to commands performed a cognitive task on fMRI or EEG as compared with one in three participants with an observable response to commands. (Funded by the James S. McDonnell Foundation and others.)

Cognitive dysfunction following brain trauma results from sex-specific reactivation of the developmental pruning processes.

Cognitive losses resulting from severe brain trauma have long been associated with the focal region of tissue damage, leading to devastating functional impairment. For decades, researchers have focused on the sequelae of cellular alterations that exist within the perilesional tissues; however, few clinical trials have been successful. Here, we employed a mouse brain injury model that resulted in expansive synaptic damage to regions outside the focal injury. Our findings demonstrate that synaptic damage results from the prolonged increase in D-serine release from activated microglia and astrocytes, which leads to hyperactivation of perisynaptic NMDARs, tagging of damaged synapses by complement components, and the reactivation of developmental pruning processes. We show that this mechanistic pathway is reversible at several stages within a prolonged and progressive period of synaptic loss. Importantly, these key factors are present in acutely injured brain tissue acquired from patients with brain injury, which supports a therapeutic neuroprotective strategy.

Evaluating the therapeutic effect of LIPUS in the early stage of traumatic brain injury using FA and T2* in rats.

To evaluate the protective effect of LIPUS at the early stage of brain trauma in rats, 45 rats were randomly divided into 3 groups: sham (n = 15), TBI (n = 15) and LIPUS treatment groups (n = 15). Ipsilateral and contralateral cortical and thalamic parameters obtained by diffusion tensor imaging (DTI) and fast low-angle shot magnetic resonance imaging (FLASH-MRI) were measured at different times after trauma. For fractional anisotropy (FA) and T2* values, two-way repeated measures ANOVA with Tukey's post hoc was used for intergroup comparisons. With observation time prolonged, the FA values of the ipsilateral cortex in the TBI group gradually increased and were significantly higher than those in the LIPUS treatment group on Day 7 (adjusted P = 0.0067). FA values in the contralateral cortex decreased at this time and were significantly lower than those in the LIPUS treatment group (adjusted P = 0.0192). Meanwhile, compared with LIPUS group, FA values were significantly higher in the injured thalamus (adjusted P = 0.0025). Combined with correlation analysis, FA values were positively correlated with neuronal damage (P = 0.0148, r2 = 0.895). At 7 days after trauma, T2* values in the ipsilateral cortex of the TBI group were significantly lower. After analysis of ferritin content and correlation, we found that T2* values were negatively correlated with ferritin (P = 0.0259, r2 = -0.849). By measuring post-traumatic changes in FA and T2* values, it is possible to demonstrate a neuronal protective effect of LIPUS in the early phase of TBI rats and promote brain rehabilitation.

Contribution of Computed Tomography in the Management of Cranio-Encephalic Trauma in the Radiology and Medical Imaging Department of CHU-Gabriel Toure

Introduction: Head trauma is a major public health problem and a major cause of morbidity and mortality, particularly in young adults. Objective: To clarify the interest of computed tomography in the management of cranioencephalic trauma in the radiology and medical imaging department of the CHU GT. Methods: This was a retro and prospective study of 5 months ranging respectively from January to March 2010 on 103 cases, from August to November 2010 on 12 cases and concerned 115 patients who came for a CT scan in a context of traumatic brain injury. Results: The average age was 26.6 years with extremes from 4 years to 65 years. The sex ratio was 4.7%. Road accidents accounted for 80.9% of cases. All patients with computed tomography abnormalities, fractures of the vault represented 74.1% of cases, the base with 17.2% and in 8.5% of cases the fracture concerned both the vault and the base. The linear fracture interested the arch in 39.6% of cases. Pericerebral lesions were dominated by meningeal hemorrhage and extradural hematoma with 63.2% and 22.8% of cases. Hemorrhagic edema accounted for 81.7% of intracerebral lesions and in 12% of cases, intracerebral lesions were associated. Based on these data 48.3% of patients were operated on in neurosurgery. The mortality rate was 7.8%. Conclusion: CT remains the examination of choice in the management of craniocerebral trauma.

A big bang theory of big brain trauma.

One of the biggest neurophysiological science news headlines of the 2024 summer reported a critical link between post-traumatic stress disorder (PTSD), suicide, and brain injury from blast events in members of the elite US fighting force, Navy SEALS. Researchers from the Department of Defense/Uniformed Services University Brain Tissue Repository (DOD/USU BTR) had discovered a border of neural damage between the layers of white and gray matter comprising the cortical folds of service members' brains. Described as a distinctive anatomical line of astroglial scarring along the shared junctions of gray and white cellular zones of the brain, this tissue injury was unlike that observed for concussive brain trauma. Rather, it was consistent with blast biophysics of mammalian tissues. In this new study, the damage appears to be correlated with long-term, repeated exposure to blast waves from nearby explosions or firing weapons. A cascade of progressive unexplained behaviors, cognitive decline, and severe depression in the trained fighters ensued. This analysis suggested that repetitive, impulsive pressure waves traveling through the service members' heads and brains with each blast had compromised their cognitive centers, setting a downward trajectory in their mental and physical health.

Systematic quantitative evaluation of gene polymorphism and therapeutic effect of xingnaojing injection in patients with brain injury.

The incidence of brain injury is increasing year by year, and it has become one of the major diseases threatening human life in today's society. From the perspective of the causes of brain injury, it is mainly due to falls from high places, traffic accidents, etc. Severe brain injury patients often lose consciousness. In recent years, the emergence of integrated traditional Chinese and Western medicine has provided a new approach and new ideas for the treatment of craniocerebral trauma. The article systematically and scientifically expounded the role of Xingnaojing injection in the treatment of brain injury by comparing the GCS (Glasgow Coma Scale) score, changes in intracranial pressure, the incidence of complications after brain injury, the transformation from moderate brain injury to severe brain injury, and recovery of consciousness. For the problem of gene polymorphism in patients with brain injury, this article discussed the role of APOE2 (Apolipoprotein E2), ε3, ε4 in brain injury. All patients had a clear history of trauma and received strict nervous system examination and CT scanning when they were admitted to the hospital. After craniocerebral trauma surgery or conservative therapy, patients should take a Xingnaojing injection of 30 ml and a 0.9% sodium chloride injection of 250 ml after admission. After the operation, respiratory tract nursing should be strengthened, and patients who cannot eat should be given nasal feeding, acupuncture, and physiotherapy to prevent bedridden complications. The probability of epilepsy after brain injury was 27%. The article would help to evaluate the degree of brain damage and prognosis of patients.

MRI and Clinical Variables for Prediction of Outcomes After Pediatric Severe Traumatic Brain Injury

Traumatic brain injury (TBI) is a leading cause of death and disability in children, and predicting functional outcome after TBI is challenging. Magnetic resonance imaging (MRI) is frequently conducted after severe TBI; however, the predictive value of MRI remains uncertain. To identify early MRI measures that predict long-term outcome after severe TBI in children and to assess the added predictive value of MRI measures over well-validated clinical predictors. This preplanned prognostic study used data from the Approaches and Decisions in Acute Pediatric TBI (ADAPT) prospective observational comparative effectiveness study. The ADAPT study enrolled 1000 consecutive children (aged <18 years) with severe TBI between February 1, 2014, and September 30, 2017. Participants had a Glasgow Coma Scale (GCS) score of 8 or less and received intracranial pressure monitoring. Magnetic resonance imaging scans performed as part of standard clinical care within 30 days of injury were collected at 24 participating sites in the US, UK, and Australia. Summary imaging measures were correlated with the Glasgow Outcome Scale-Extended for Pediatrics (GOSE-Peds), and the predictive value of MRI measures was compared with the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) core clinical predictors. Data collection, image analysis, and data analyses were completed in July 2023. Pediatric severe TBI with an MRI scan performed as part of clinical care. All measures were selected a priori. Magnetic resonance imaging measures included contusion, ischemia, diffuse axonal injury, intracerebral hemorrhage, and brainstem injury. Clinical predictors included the IMPACT core measures (GCS motor score and pupil reactivity). All models adjusted for age and sex. Outcome measures included the GOSE-Peds score obtained at 3, 6, and 12 months after injury. This study included 233 children with severe TBI who were enrolled at participating sites and had an MRI scan and preselected clinical predictors available. Their median age was 6.9 (IQR, 3.0-13.3) years, and more than half of participants (134 [57.5%]) were male. In a multivariable model including MRI measures and IMPACT core clinical variables, contusion volume (odds ratio [OR], 1.13; 95% CI, 1.02-1.26), brain ischemia (OR, 2.11; 95% CI, 1.58-2.81), brainstem lesions (OR, 5.40; 95% CI, 1.90-15.35), and pupil reactivity were each independently associated with GOSE-Peds score. Adding MRI measures to the IMPACT clinical predictors significantly improved model fit and discrimination between favorable and unfavorable outcomes compared with IMPACT predictors alone (area under the receiver operating characteristic curve, 0.77; 95% CI, 0.72-0.85 vs 0.67; 95% CI, 0.61-0.76 for GOSE-Peds score >3 at 6 months after injury). In this prognostic study of children with severe TBI, the addition of MRI measures significantly improved outcome prediction over well-established and validated clinical predictors. Magnetic resonance imaging should be considered in children with severe TBI to inform prognosis and may also promote stratification of patients in future clinical trials.

Consensus paper on the assessment of adult patients with traumatic brain injury with Glasgow Coma Scale 13-15 at the emergency department: A multidisciplinary overview.

Traumatic brain injury (TBI) is a common reason for presenting to emergency departments (EDs). The assessment of these patients is frequently hampered by various confounders, and diagnostics is still often based on nonspecific clinical signs. Throughout Europe, there is wide variation in clinical practices, including the follow-up of those discharged from the ED. The objective is to present a practical recommendation for the assessment of adult patients with an acute TBI, focusing on milder cases not requiring in-hospital care. The aim is to advise on and harmonize practices for European settings. A multiprofessional expert panel, giving consensus recommendations based on recent scientific literature and clinical practices, is employed. The focus is on patients with a preserved consciousness (Glasgow Coma Scale 13-15) not requiring in-hospital care after ED assessment. The main results of this paper contain practical, clinically usable recommendations for acute clinical assessment, decision-making on acute head computerized tomography (CT), use of biomarkers, discharge options, and needs for follow-up, as well as a discussion of the main features and risk factors for prolonged recovery. In conclusion, this consensus paper provides a practical stepwise approach for the clinical assessment of patients with an acute TBI at the ED. Recommendations are given for the performance of acute head CT, use of brain biomarkers and disposition after ED care including careful patient information and organization of follow-up for those discharged.

Analysis of Causes of Complications and Prognostic Factors After Titanium Mesh Ultra-Early Cranioplasty Following Decompressive Craniectomy for Craniocerebral Trauma

PurposeTo explore the complications and prognostic factors after titanium mesh ultra-early cranioplasty (CP) after decompressive craniectomy (DC) for craniocerebral trauma. MethodFrom January 2020 to November 2022, 44 patients with craniocerebral trauma who needed ultra-early-CP after DC were collected. The basic data of NIHSS, GCS, mRS and MoCA scores of patients were collected, and the complications and prognosis of patients 3 months after operation were collected. Multivariate Logistic regression was used to analyze the prognostic factors. ResultsCompared with preoperative, the postoperative NIHSS score of patients with ultra-early-CP decreased, the postoperative GCS score increased, the postoperative mRS score decreased (P<0.05), and the postoperative MoCA score was higher. Postoperative complications occurred in 42 patients with ultra-early-CP. There were 37 complications, including 7 cases of hydroaccumulation, 18 cases of hematocele, 11 cases of pneumatosis, 3 cases of scalp swelling, 2 cases of epilepsy, 10 cases of hydrocephalus and 1 case of intracranial infection, and no incision infection occurred. Age and postoperative NIHSS score were related factors affecting the poor prognosis of ultra-early-CP patients (P<0.05). ConclusionUltra-early-CP can promote the recovery of neurological function, reduce the disturbance of consciousness, improve daily living ability and improve cognitive function in patients with craniocerebral trauma, but there is a high risk of postoperative complications. In addition, age and postoperative NIHSS score are related factors affecting the poor prognosis of ultra-early-CP patients.

Prehospital care for traumatic brain injuries: A review of U.S. state emergency medical services protocols

Traumatic brain injury (TBIs) necessitates a rapid and comprehensive medical response to minimize secondary brain injury and reduce mortality. Emergency medical services (EMS) clinicians serve a critical role in the management of prehospital TBI, responding during an initial phase of care with significant impact on patient outcomes. We used versions two and three of the Brain Trauma Foundation (BTF) Prehospital Guidelines for the Management of Traumatic Brain Injury and the NASEMSO National Model Clinical Guidelines to determine key elements for a TBI prehospital protocol and included common factors across sources such as recommendations concerning patient monitoring, hypoxia, hypotension, hyperventilation, cerebral herniation, airway management, hyperosmolar therapy, and transport destination. We then conducted a cross-sectional evaluation of publicly available statewide EMS clinical protocols in the US to determine the degree of alignment with national guidelines. We calculated descriptive statistics for each factor in the state protocols. Despite adoption of some evidence-based recommendations for a standard approach to the prehospital management of patients with TBI, we found significant variability in statewide EMS treatment protocols for management of severe TBI, especially in the recommended frequency of patient reassessment and for the management of suspected herniation. Most statewide protocols provided guidance regarding oxygenation, ventilation, and blood pressure management that aligned with evidence-based guidelines. While most protocols did address management of oxygenation and ventilation, one in four protocols had no specific guidance for managing hypoxia and only 31% of protocols recommended avoiding hyperventilation. For the management of suspected cerebral herniation, over half of statewide protocols recommended hyperventilation, whereas only 31% explicitly advised against hyperventilation regardless of TBI severity. Interestingly, 94% of protocols do not mention the use of hyperosmolar therapy for TBI patients, neither recommending use or avoidance of hyperosmolar therapy. In conclusion, we found inconsistent adoption of national recommendations in available statewide protocols for prehospital TBI management. We identified significant gaps and variation in statewide protocols regarding patient monitoring and reassessment, as well as in several key areas of severe TBI management.

Assessment of Sleep Stages in Unconscious Patients with Acute Severe Traumatic Brain Injury

Abstract Background The existence of a sleep cycle in deeply unconscious patients with severe traumatic brain injury (TBI) remains unknown. Evaluating the sleep patterns of these patients may provide insights into their consciousness and help predict functional recovery. Aims and Objectives This prospective observational study aimed to assess the usefulness of monitoring the sleep cycle in the prognostication of unconscious TBI patients. Materials and Methods A purposive sampling technique was employed to include 39 patients with severe TBI (Glasgow Coma Scale [GCS] ≤ 8). The average GCS score at admission was (5.76 ± 1.65). Sleep was monitored using an actigraphy smartwatch for 4 consecutive days, (3.15 ± 2.49) days postbrain injury. Sleep cycle monitoring tool and unconscious patient outcome monitoring tool were employed. An outcome assessment was done based on the GCS score. Results Severe TBI patients exhibit intact sleep cycle (i.e., deep sleep, light sleep, and rapid eye movement sleep) despite being deeply unconscious, even in the acute stage. Total sleep duration was found to be significantly higher at a mean of 19.97 hours as compared to the mean of 8 hours as per the smartwatch reference value for normal individuals. Patients with improved sleep cycles had a higher likelihood of GCS improvement (p &lt; 0.05). Conclusion This study is the first of its kind to demonstrate that the sleep cycle is a reliable prognostic factor for the recovery of consciousness in the acute phase of severe TBI among unconscious patients, with improvement in the sleep cycle mirroring neurological improvement.

Targeting Circadian Protein Rev-erbα to Alleviate Inflammation, Oxidative Stress, and Enhance Functional Recovery Following Brain Trauma.

Traumatic brain injury (TBI) is a significant cause of morbidity and mortality worldwide, and its pathophysiology is characterized by oxidative stress and inflammation. Despite extensive research, effective treatments for TBI remain elusive. Recent studies highlighted the critical interplay between TBI and circadian rhythms, but the detailed regulation remains largely unknown. Motivated by the observed sustained decrease in Rev-erbα after TBI, we aimed to understand the critical role of Rev-erbα in the pathophysiology of TBI and determine its feasibility as a therapeutic target. Using a mouse model of TBI, we observed that TBI significantly downregulates Rev-erbα levels, exacerbating inflammatory and oxidative stress pathways. The regulation of Rev-erbα with either the pharmacological activator or inhibitor bidirectionally modulated inflammatory and oxidative events, which in turn influenced neurobehavioral outcomes, highlighting the protein's protective role. Mechanistically, Rev-erbα influences the expression of key oxidative stress and inflammatory regulatory genes. A reduction in Rev-erbα following TBI likely contributes to increased oxidative damage and inflammation, creating a detrimental environment for neuronal survival and recovery which could be reversed via the pharmacological activation of Rev-erbα. Our findings highlight the therapeutic potential of targeting Rev-erbα to mitigate TBI-induced damage and improve outcomes, especially in TBI-susceptible populations with disrupted circadian regulation.

Age-associated gadolinium leakage into ocular structures in patients with acute traumatic brain injury

BackgroundGadolinium Leakage into Ocular Structures (GLOS) is common following acute cerebrovascular events. The objective of this study was to investigate the occurrence of GLOS in an acute traumatic brain injury (TBI) cohort without acute cerebrovascular injury and to explore associated factors. MethodsEnrolled acute TBI patients had a baseline MRI ≤48 h of injury (TP1) and follow-up MRI ≤72 h after baseline (TP2). Vitreous chamber enhancement and signal intensity ratios (SIRs) were calculated using pre- and post-contrast Fluid Attenuated Inversion Recovery (FLAIR). White matter hyperintensities (WMHs) were assessed using the Fazekas scale. ResultsOf the 128 TBI patients included, median age was 47 years, 70% male, and 66% presented with Glasgow Coma Scale of 15. No GLOS was detected at TP1 but was present in 23% of patients at TP2. GLOS+ patients were older (68 years [56–76] vs 39 years [27–53], p < 0.001), more likely to report falls as injury mechanism (62% vs 36%, p = 0.006), report history of hypertension (41% vs 19%, p = 0.025), and had a higher burden of WMHs (59% vs 14% with a total Fazekas ≥2, p < 0.001). Quantitative SIRs confirmed qualitative assessments: GLOS+ patients had higher SIRs at TP2 (0.43 vs 0.22, p < 0.001). Age (OR 3.28, 95%CI [1.88–5.71], p < 0.001) and prior TBI history (OR 4.99, 95%CI [1.46–17.06], p = 0.010) were independent predictors of GLOS. When age was removed, total Fazekas score (OR 2.53, 95%CI [1.60–4.00], p < 0.001) was an independent predictor of GLOS. ConclusionsGLOS is primarily associated with age and may serve as another imaging marker of chronic vascular disease.

Axonal injury, sleep disturbances, and memory following traumatic brain injury.

Traumatic brain injury (TBI) is associated with sleep deficits, but it is not clear why some report sleep disturbances and others do not. The objective of this study was to assess the associations between axonal injury, sleep, and memory in chronic and acute TBI. Data were acquired from two independent datasets which included 156 older adult veterans (69.8 years) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) with prior moderate-to-severe TBIs and 90 (69.2 years) controls and 374 (39.6 years) from Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) with a recent mild TBI (mTBI) and 87 controls (39.6 years), all who completed an MRI, memory assessment, and sleep questionnaire. Older adults with a prior TBI had a significant association between axonal injury and sleep disturbances [β = 9.52, 95% CI (4.1, 14.9), p = 0.01]. Axonal injury predicted changes in memory over 1-year in TBI [β = -8.72, 95% CI (-18, -2.7), p = 0.03]. We externally validated those findings in TRACK-TBI where axonal injury within 2 weeks after mTBI was significantly associated with higher sleep disturbances in the TBI group at 2 weeks[β = -7.2, 95% CI (-14, -0.50), p = 0.04], 6 months [β = -16, 95% CI (-24, -7.6), p ≤ 0.01], and 12 months post-injury [β = -11, 95% CI (-19, -0.85), p = 0.03]. These associations were not significant in controls. Axonal injury, specifically to the left anterior internal capsule is robustly associated with sleep disturbances in multiple TBI populations. Early assessment of axonal injury following mTBI could identify those at risk for persistent sleep disturbances following injury.

Correlation of preoperative inflammatory factors and emotional disorders with postoperative delirium in patients with craniocerebral trauma.

Traumatic brain injury (TBI) imposes a substantial societal and familial burden due to its high disability and fatality rates, rendering it a serious public health problem. Some patients with TBI have poor treatment outcomes and are prone to postoperative delirium (POD), which affects their quality of life. Anxiety has been linked to increased POD incidence in some studies, while others have found no correlation. To investigate the correlation of POD risk factors, preoperative inflammatory factors, and mood disorders in patients with TBI. We retrospectively collected data on the treatment of 80 patients with TBI from November 2021 to September 2023. Patients were grouped as POD and non-POD, according to their POD status, and the general data of the two groups were compared. Inflammatory factor levels were detected preoperatively, and the Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA) were used to investigate the risk factors associated with POD in these patients. Logistic regression was used to identify the independent risk factors. Twenty-one patients (26.25%) developed POD, including 7, 10, and 4 cases of the excitatory, inhibitory, and mixed types, respectively. There were 59 cases (73.75%) in the non-POD group. Compared with the non-POD group, the POD group had a significantly higher proportion of patients with low Glasgow Coma Scale (GCS) scores before admission, unilateral mydriasis, preoperative hemorrhagic shock, intraventricular hemorrhage (IVH), and postoperative hyperglycemic hyperosmolar disease (P < 0.05). In the POD group, interleukin-6 (IL-6), human tumor necrosis factor-α (TNF-α), myeloperoxidase levels, HAMA, and HAMD scores were higher than those in the non-POD group (all P < 0.05). Logistic multivariate analysis showed that GCS score at admission, IVH, IL-6, TNF-α, HAMA, and HAMD were independent risk factors for POD in patients with TBI (P < 0.05). Low GCS score at admission, IVH, elevated IL-6 and TNF-α, other inflammatory indicators, anxiety, and depression, can increase the risk of POD in patients with TBI after surgery.