Traumatic Brain Injury Cases Research Articles

Characteristics and outcome of patients requiring Decompressive Craniectomy for Traumatic Brain Injury: a retrospective analysis.

Brain swelling after Traumatic Brain Injury (TBI) can elevate intracranial pressure, necessitating Decompressive Craniectomy (DC) as the preferred surgical intervention. This study aimed to analyze a large institutional database to identify clinical characteristics of patients requiring primary DC and their outcomes. We reviewed TBI patients admitted to our center from 2015 to 2021, utilizing a prospectively maintained registry. Data collected included demographics, injury mechanisms, admission findings, neuroimaging results, DC necessity, procedures during hospitalization, and functional outcomes at discharge and six-month follow-up. A total of 4,011 patients were analyzed, with 506 undergoing primary DC. Factors such as International Normalized Ratio, activated Partial Thromboplastin Time, subdural hematoma, midline shift, epidural hematoma, intracerebral hemorrhage, and the presence of compressed or absent basal cisterns were independently linked to the need for DC. Additionally, the requirement for DC correlated with an increased likelihood of tracheostomy. For patients requiring DC, older age, lower hemoglobin levels, higher Rotterdam scores, and the presence of compressed or absent basal cisterns were associated with unfavorable outcomes in mild to moderate TBI cases. In severe TBI patients, lower Glasgow Coma Scale scores and fixed pupils were linked to poor outcomes. This study represents one of the most comprehensive analyses of primary DC requirements and outcomes, revealing that the need for DC is associated with worse outcomes in TBI patients and identifying several independent predictors of outcomes across varying severity levels.

Abstract Su601: Missed Hypoxia in the Prehospital Care of Major Traumatic Brain Injury: Discrepancies Between Continuous Monitor Data and Clinical Documentation

Background: It is well established that prehospital hypoxia dramatically increases mortality in Traumatic Brain Injury (TBI). Thus, in EMS TBI research, case ascertainment and risk adjustment are highly dependent upon documentation of in-field O 2 saturation (SpO 2 ). Objective: To compare the rate of hypoxia identified by EMS personnel and documented in EMS patient care records (PCR) versus the actual rate of hypoxia recorded by continuous, non-invasive monitoring in TBI. Methods: A subset of major TBI cases (moderate/severe) from 5 EMS agencies reporting monitor data (Philips MRx™) in the EPIC EMS TBI Study (NIH 1R01NS071049) were evaluated (02/13-02/18). All monitor data available for post-hoc review were displayed and accessible to the providers during EMS care. We compared PCR documentation of hypoxia (SpO 2 <90%) to continuous monitor data in TBI patients (nasal canula O 2 , mask, basic or advanced airway). Statistic: exact McNemar’s test, α=0.05. Results: 120 cases were included [med. age 50; IQR (23.8, 68); 65% male. Monitors recorded 44 hypoxic cases (36.7%; 95%CI 28.1, 45.9%). Only 8 (6.7%; 2.9, 12.7%) were documented in the PCR (p<0.0001; Figure). Three machine-detected hypoxia cases had no PCR-documented SpO 2 at all. Conclusions: The difference in PCR-documented and monitor-identified hypoxia was dramatic. The monitor data revealed a five-fold greater incidence of hypoxia than that documented by EMS providers. This may be partially explained by the continuous nature of pulse oximetry in the face of ongoing care responsibilities and scene distractions. The field environment may cause providers to miss low readings as they fluctuate moment-by-moment. These findings have major clinical implications. While some of the discrepancy between PCR reporting and monitor data might simply be failure to document hypoxia, the much more concerning implication is that many cases might be unrecognized and untreated. Furthermore, these findings have important implications for case ascertainment, confounding, and risk-adjustment in EMS TBI research. Whenever possible, quality improvement and research projects should utilize continuous non-invasive monitor data to identify and evaluate hypoxic patients in the setting of TBI. These findings may also have implications for identifying hypoxia in EMS patients with other critical conditions.

Unraveling the Emerging Niche Role of Extracellular Vesicles (EVs) in Traumatic Brain Injury (TBI).

Extracellular vesicles or exosomes, often known as EVs, have acquired significant attention in the investigations of traumatic brain injury (TBI) and have a distinct advantage in actively researching the fundamental mechanisms underlying various clinical symptoms and diagnosing the wide range of traumatic brain injury cases. The mesenchymal stem cells (MSCs) can produce and release exosomes, which offer therapeutic benefits. Exosomes are tiny membranous vesicles produced by various cellular entities originating from endosomes. Several studies have reported that administering MSC-derived exosomes through intravenous infusions improves neurological recovery and promotes neuroplasticity in rats with traumatic brain damage. The therapeutic advantages of exosomes can be attributed to the microRNAs (miRNAs), which are small non-coding regulatory RNAs that significantly impact the regulation of posttranscriptional genes. Exosome-based therapies, which do not involve cells, have lately gained interest as a potential breakthrough in enhancing neuroplasticity and accelerating neurological recovery for various brain injuries and neurodegenerative diseases. This article explores the benefits and drawbacks of exosome treatment for traumatic brain injury while emphasizing the latest advancements in this field with clinical significance.

Exploring the Connection Between Family History of Seizures and Post-traumatic Brain Injury Seizure Types: A Retrospective Study

Background: Traumatic brain injury (TBI) is one of the most common presentations to emergency departments and is associated with seizures carrying different significance at different stages following injury. The occurrence of seizures after head injury is a recognized complication of TBI and has been demonstrated to worsen functional outcomes significantly. Despite previous studies identifying various PTS risk factors, our understanding remains limited, particularly regarding familial seizure history. Materials and Methods: A retrospective study was conducted at King Abdullah University Hospital (KAUH), Jordan, examining 1934 TBI cases from 2017 to 2023, identifying 118 patients with confirmed post-traumatic seizures. Results: This study involved 118 TBI patients, aged between 2 and 86 years (median 21.5 years), with 74.6% male and 25.4% female. A family history of seizures was reported by 23.7% of patients. Intracerebral hemorrhage (ICH) (52.5%) and subarachnoid hemorrhage (SAH) (38.1%) were the predominant trauma types. Generalized tonicclonic (GTCs) seizures (69.5%) and focal seizures (30.5%) were observed post-TBI. Among 28 patients with a family history of seizures, no evidence of association was observed between the family history and post-traumatic seizure types (GTCs or focal seizures), this was confirmed by performing Chi-square tests (p = 0.9841) and logistic regression analysis (p = 0.79). Conclusion: Our findings suggest that there is no evidence of the association between family history and post-traumatic seizure types, implying that a specialized approach for patients with positive family histories may not be warranted. Larger studies are recommended for further validation.

Literature Review: Historical Review of Traumatic Brain Injury Caused by Fishing Speargun & a New Suicide Case

Traumatic brain injury (TBI) is a severe neurosurgical emergency and a significant public health concern. Fishing spearguns TBIs are included in nonmissile injuries and have been implicated in only few cases of TBI in the past 68 years, mainly of accidental etiology. To introduce a novel case report of a TBI in a 38-year-old man shot himself with a speargun in a suicide attempt and to present a thorough review of related case reports along with the management strategies, prognosis, and outcomes. We conducted a literature review of case reports in accordance with the PRISMA guidelines, including incidents of TBI by speargun published in Pubmed, Scopus, and Web of Science until January 2024. A total of 22 publications, reporting 26 cases of speargun-related TBIs formulated the 27 investigated cases including the current patient which were used in this descriptive and inferential statistical analysis. Predominantly affecting males (88.89%) with a median age of 29 years, these injuries were primarily due to accidents (65.38%), with a noticeable shift towards suicide. Outcome variability ranged from intact recovery (48.15%) in majority of cases to a range of unfavorable outcomes. Significant factors impacting outcomes included initial GCS score <8, major initial CT head findings, and major complications. Survival analysis indicated early manifestation of unfavorable outcomes. In summary, the diverse presentation, management, outcomes and identified influencing factors highlight the complexity of managing speargun-related injuries, and the need for personalized approaches and further research to enhance care protocols.

External evaluation of Brain Injury Guideline (BIG) low risk criteria for traumatic brain injury

BackgroundFewer than 20 % of traumatic brain injury (TBI) cases with traumatic intracranial hemorrhage (ICH) result in clinical deterioration. The Brain Injury Guideline (BIG) criteria were published in 2014 and categorize patients with TBI into three risk groups (BIG 1, 2, and 3) based on CT scan findings, neurological examination, anti-coagulant/platelet medications, and intoxication. Early data is promising, suggesting no instances of neurosurgical intervention or death in the low-risk BIG1 category within 30 days. We sought to externally validate the BIG criteria and identify patients with TBI at low risk of clinical deterioration. We hypothesized that patients meeting the BIG1 low risk criteria have less than a 1 % risk of death or neurosurgical intervention. MethodsWe performed a retrospective cohort study of a level 1 trauma center's trauma registry records from 2011 to 2022 to identify patients with head trauma. We abstracted demographics, injury characteristics, clinical course, CT imaging results, and outcomes, and we categorized patients according to the BIG criteria. The Clopper-Pearson Exact method was used to estimate outcome frequency with confidence intervals. The primary outcome was death or neurosurgical intervention within 30 days. Secondary outcomes included progression on repeat head CT (RHCT), ICU admission with neurocritical care intervention, and TBI-related hospital readmission within 30 days. ResultsA total of 1714 patients with TBI with ICH were identified from the trauma registry. 325 patients were excluded due to missing data, pregnancy, incarceration, polytrauma, or GCS < 13, leaving 1389 for analysis. 193 patients (13.9 %) were classified as BIG1. No patients classified as BIG1 experienced the primary outcome measures of death or neurosurgical intervention (95 % confidence interval [CI]: 0 %–1.9 %). The number of patients who experienced the secondary outcome measures of progression on RHCT, ICU admission with neurocritical care intervention, or TBI-related hospital readmission within 30 days were 9 (4.7 %, 95 % CI: 2.2 %–8.7 %), 1 (0.5 %, 95 % CI: 0 %–2.9 %), and 4 (2.1 %, 95 % CI: 0.6 %–5.2 %), respectively. ConclusionBIG1 criteria identified a low-risk subset of patients with TBI with ICH. However, an upper 95 % CI of 1.9 % does not exclude the risk of neurologic deterioration being <1 %. Validation of these criteria in larger cohorts is warranted.

Traumatic brain injuries: a neuropsychological review.

The best predictor of functional outcome in victims of traumatic brain injury (TBI) is a neuropsychological evaluation. An exponential growth of research into TBI has focused on diagnosis and treatment. Extant literature lacks a comprehensive neuropsychological review that is simultaneously scholarly and practical. In response, our group included, and went beyond a general overview of TBI's, which commonly include definition, types, severity, and pathophysiology. We incorporate reasons behind the use of particular neuroimaging techniques, as well as the most recent findings on common neuropsychological assessments conducted in TBI cases, and their relationship to outcome. In addition, we include tables outlining estimated recovery trajectories of different age groups, their risk factors and we encompass phenomenological studies, further covering the range of existing-promising tools for cognitive rehabilitation/remediation purposes. Finally, we highlight gaps in current research and directions that would be beneficial to pursue.

Traumatic Brain Injury Structure Detection Using Advanced Wavelet Transformation Fusion Algorithm with Proposed CNN-ViT

Detecting Traumatic Brain Injuries (TBI) through imaging remains challenging due to limited sensitivity in current methods. This study addresses the gap by proposing a novel approach integrating deep-learning algorithms and advanced image-fusion techniques to enhance detection accuracy. The method combines contextual and visual models to effectively assess injury status. Using a dataset of repeat mild TBI (mTBI) cases, we compared various image-fusion algorithms: PCA (89.5%), SWT (89.69%), DCT (89.08%), HIS (83.3%), and averaging (80.99%). Our proposed hybrid model achieved a significantly higher accuracy of 98.78%, demonstrating superior performance. Metrics including Dice coefficient (98%), sensitivity (97%), and specificity (98%) verified that the strategy is efficient in improving image quality and feature extraction. Additional validations with “entropy”, “average pixel intensity”, “standard deviation”, “correlation coefficient”, and “edge similarity measure” confirmed the robustness of the fused images. The hybrid CNN-ViT model, integrating curvelet transform features, was trained and validated on a comprehensive dataset of 24 types of brain injuries. The overall accuracy was 99.8%, with precision, recall, and F1-score of 99.8%. The “average PSNR” was 39.0 dB, “SSIM” was 0.99, and MI was 1.0. Cross-validation across five folds proved the model’s “dependability” and “generalizability”. In conclusion, this study introduces a promising method for TBI detection, leveraging advanced image-fusion and deep-learning techniques, significantly enhancing medical imaging and diagnostic capabilities for brain injuries.

A-102 Clinical Evaluation of Novel Markers in Brain Injury

Abstract Background Traumatic brain injury (TBI) is a significant health concern affecting individuals of all ages, demanding precise diagnostic methodologies to guide effective clinical management. According to the 2010 definition, a TBI results from an external force causing an alteration in brain function or other evidence of brain pathology. Current diagnostic tools, i.e. CT scans and the Glasgow Coma Scale (GCS), are inefficient because they are time and labor intensive. The need for rapid diagnostic tools is underscored by the drawbacks of existing methods, such as CT scans, which are expensive, expose patients to large amounts of radiation, and lead to delayed treatment. Recent advances in TBI diagnosis involve novel biomarkers, such as Glial Fibrillary Acidic Protein (GFAP) and Ubiquitin C-Terminal Hydrolase L1 (UCH-L1), which have shown promise in revolutionizing the assessment of head traumas. GFAP, a glial-specific protein, is elevated in circulation after a TBI, distinguishing it from multi-trauma patients without brain injuries. UCH-L1, found in neurons, is significantly elevated in TBI patients compared to uninjured controls. A 2021 study further supports the clinical effectiveness of these biomarkers, demonstrating their capacity to exclude CT-positive injury in acute TBI cases. The primary aim of this study is to explore the clinical utility of the Abbott Alinity TBI assay, specifically biomarkers GFAP and UCH-L1, in emergency department patients with a history of head trauma. Methods A retrospective study involving 238 emergency department patients with a history of head trauma and noncontrast CT scans was conducted using the Abbott Alinity TBI assay. Serum samples were collected, and biomarker values were established and compared to CT scan results. The study was comprised of 94 females and 144 males spanning various age groups. The GFAP and UCH-L1 cutoffs used were FDA approved, at 35.0 ng/L and 400.0 ng/L, respectively. If either marker was above the cutoff the patient ruled at risk for TBI. Results Results demonstrated the assay correctly identified all CT-positive cases (100% sensitivity), placing them in the rule-in group, while identifying 44 patients with a 0 chance of TBI. The negative predictive value for the TBI overall was 100% (95% CI: 91.96%-100%). The GFAP assay alone identified 30/31 positive CT scans, reporting a 98.77% (95% CI: 92.03%-99.82%) negative predictive value. The UCH-L1 assay reported 26/31 positive CT scans with a negative predictive value of 94.68% (95% CI: 88.71-97.58%). Analyzing the data revealed the TBI assay would have reduced CT scans by 18.5%. Conclusions The results of this study did show a potential reduction in the number of patients sent to CT making it a valuable tool for triaging patients presenting with head trauma; however, the complexity of neurological problems may lead to increased false positives, reducing assay specificity. Despite this limitation, this study concludes that the GFAP and UCH-L1 markers could be used to triage patients into CT rule-out and rule-in groups, thereby streamlining clinical management. In conclusion, this assay, incorporating GFAP and UCH-L1 biomarkers, presents as a promising diagnostic tool for emergency departments.

Indications and scientific support for supratentorial unilateral decompressive craniectomy for different subgroups of patients: A scoping review.

Even though supratentorial unilateral decompressive craniectomy (DC) has become the gold standard neurosurgical procedure aiming to provide long term relief of intractable intracranial hypertension, its indication has only been validated by high-quality evidence for traumatic brain injury and malignant middle cerebral artery infarction. This scoping review aims to summarize the available evidence regarding DC for these two recognized indications, but also for less validated indications that we may encounter in our daily clinical practice. A scoping review was conducted on Medline / Pubmed database from inception to present time looking for articles focused on 7 possible indications for DC indications. Studies' level of evidence was assessed using Oxford University level of evidence scale. Studies' quality was assessed using Newcastle-Ottawa scale for systematic reviews of cohort studies and Cochrane Risk of Bias Tool for randomized controlled trials. Two randomized trials (level 1b) reported the possible efficacy of unilateral DC and the mitigated efficiency of bifrontal DC in the trauma setting. Five systematic reviews meta-analyses (level 2a) supported DC for severely injured young patients with acute subdural hematoma probably responsible for intraoperative brain swelling, while one randomized controlled trial (level 1b) showed comparable efficacy of DC and craniotomy for ASH with intraoperative neutral brain swelling. Three randomized controlled trials (level 1b) and two meta-analyses (level 1a and 3a) supported DC efficacy for malignant ischemic stroke. One systematic review (level 3a) supported DC efficacy for malignant meningoencephalitis. One systematic review meta-analysis (level 3a) supported DC efficacy for malignant cerebral venous thrombosis. The mitigated results of one randomized trial (level 1b) did not allow to conclude for DC efficacy for intracerebral hemorrhage. One systematic review (level 3a) reported the possible efficacy of primary DC and the mitigated efficacy of secondary DC for aneurysmal subarachnoid hemorrhage. Too weak evidence (level 4) precluded from drawing any conclusion for DC efficacy for intracranial tumors. To date, there is some scientific background to support clinicians in the decision making for DC for selected cases of severe traumatic brain injury, acute subdural hematoma, malignant ischemic stroke, malignant meningoencephalitis, malignant cerebral venous thrombosis, and highly selected cases of aneurysmal subarachnoid hemorrhage.

Microglial process convergence onto injured axonal swellings, a human postmortem brain tissue study

Traumatic brain injury (TBI) affects millions globally, with a majority of TBI cases being classified as mild, in which diffuse pathologies prevail. Two of the pathological hallmarks of TBI are diffuse axonal injury (DAI) and microglial activation. While progress has been made investigating the breadth of TBI-induced axonal injury and microglial changes in rodents, the neuroinflammatory progression and interaction between microglia and injured axons in humans is less well understood. Our group previously investigated microglial process convergence (MPC), in which processes of non-phagocytic microglia directly contact injured proximal axonal swellings, in rats and micropigs acutely following TBI. These studies demonstrated that MPC occurred on injured axons in the micropig, but not in the rat, following diffuse TBI. While it has been shown that microglia co-exist and interact with injured axons in humans post-TBI, the occurrence of MPC has not been quantitatively measured in the human brain. Therefore, in the current study we sought to validate our pig findings in human postmortem tissue. We investigated MPC onto injured axonal swellings and intact myelinated fibers in cases from individuals with confirmed DAI and control human brain tissue using multiplex immunofluorescent histochemistry. We found an increase in MPC onto injured axonal swellings, consistent with our previous findings in micropigs, indicating that MPC is a clinically relevant phenomenon that warrants further investigation.

Development of Seizures Following Traumatic Brain Injury: A Retrospective Study.

Objectives: The multifaceted impact of Traumatic brain injury (TBI) encompasses complex healthcare costs and diverse health complications, including the emergence of Post-Traumatic Seizures (PTS). In this study, our goal was to discern and elucidate the incidence and risk factors implicated in the pathogenesis of PTS. We hypothesize that the development of PTS following TBI varies based on the type and severity of TBI. Methods: Our study leveraged the Nationwide Inpatient Sample (NIS) to review primary TBI cases spanning 2016-2020 in the United States. Admissions featuring the concurrent development of seizures during the admission were queried. The demographic variables, concomitant diagnoses, TBI subtypes, hospital charges, hospital length of stay (LOS), and mortality were analyzed. Results: The aggregate profile of TBI patients delineated a mean age of 61.75 (±23.8) years, a male preponderance (60%), and a predominantly White demographic (71%). Intriguingly, patients who encountered PTS showcased extended LOS (7.5 ± 9.99 vs. 6.87 ± 10.98 days, p < 0.001). Paradoxically, PTS exhibited a reduced overall in-hospital mortality (6% vs. 8.1%, p < 0.001). Notably, among various TBI subtypes, traumatic subdural hematoma (SDH) emerged as a predictive factor for heightened seizure development (OR 1.38 [1.32-1.43], p < 0.001). Conclusions: This rigorous investigation employing an extensive national database unveils a 4.95% incidence of PTS, with SDH accentuating odds of seizure risk by OR: 1.38 ([1.32-1.43], p < 0.001). The paradoxical correlation between lower mortality and PTS is expected to be multifactorial and necessitates further exploration. Early seizure prophylaxis, prompt monitoring, and equitable healthcare provision remain pivotal avenues for curbing seizure incidence and comprehending intricate mortality trends.

Analysis of miRNA Expression Profiles in Traumatic Brain Injury (TBI) and Their Correlation with Survival and Severity of Injury.

Traumatic brain injury (TBI) is the leading cause of traumatic death worldwide and is a public health problem associated with high mortality and morbidity rates, with a significant socioeconomic burden. The diagnosis of brain injury may be difficult in some cases or may leave diagnostic doubts, especially in mild trauma with insignificant pathological brain changes or in cases where instrumental tests are negative. Therefore, in recent years, an important area of research has been directed towards the study of new biomarkers, such as micro-RNAs (miRNAs), which can assist clinicians in the diagnosis, staging, and prognostic evaluation of TBI, as well as forensic pathologists in the assessment of TBI and in the estimation of additional relevant data, such as survival time. The aim of this study is to investigate the expression profiles (down- and upregulation) of a panel of miRNAs in subjects deceased with TBI in order to assess, verify, and define the role played by non-coding RNA molecules in the different pathophysiological mechanisms of brain damage. This study also aims to correlate the detected expression profiles with survival time, defined as the time elapsed between the traumatic event and death, and with the severity of the trauma. This study was conducted on 40 cases of subjects deceased with TBI (study group) and 10 cases of subjects deceased suddenly from non-traumatic causes (control group). The study group was stratified according to the survival time and the severity of the trauma. The selection of miRNAs to be examined was based on a thorough literature review. Analyses were performed on formalin-fixed, paraffin-embedded (FFPE) brain tissue samples, with a first step of total RNA extraction and a second step of quantification of the selected miRNAs of interest. This study showed higher expression levels in cases compared to controls for miR-16, miR-21, miR-130a, and miR-155. In contrast, lower expression levels were found in cases compared to controls for miR-23a-3p. There were no statistically significant differences in the expression levels between cases and controls for miR-19a. In cases with short survival, the expression levels of miR-16-5p and miR-21-5p were significantly higher. In cases with long survival, miR-21-5p was significantly lower. The expression levels of miR-130a were significantly higher in TBI cases with short and middle survival. In relation to TBI severity, miR-16-5p and miR-21-5p expression levels were significantly higher in the critical-fatal TBI subgroup. Conclusions: This study provides evidence for the potential of the investigated miRNAs as predictive biomarkers to discriminate between TBI cases and controls. These miRNAs could improve the postmortem diagnosis of TBI and also offer the possibility to define the survival time and the severity of the trauma. The analysis of miRNAs could become a key tool in forensic investigations, providing more precise and detailed information on the nature and extent of TBI and helping to define the circumstances of death.

Neural response to monetary incentives in acquired adolescent depression after mild traumatic brain injury: Stage 2 Registered Report.

Depression is a common consequence of traumatic brain injury. Separately, spontaneous depression-arising without brain injury-has been linked to abnormal responses in motivational neural circuitry to the anticipation or receipt of rewards. It is unknown if post-injury and spontaneously occurring depression share similar phenotypic profiles. This issue is compounded by the fact that nearly all examinations of these psychiatric sequelae are post hoc: there are rarely any prospective assessments of mood and neural functioning before and after a brain injury. In this Stage 2 Registered Report, we used the Adolescent Brain Cognitive Development Consortium dataset to examine if a disruption in functional neural responses to rewards is present in patients with depression after a mild traumatic brain injury. Notably, this study provides an unparalleled opportunity to examine the trajectory of neuropsychiatric symptoms longitudinally within-subjects. This allowed us to isolate mild traumatic brain injury-specific variance independent from pre-existing functioning. Here, we focus on a case-control comparison between 43 youth who experienced a mild traumatic brain injury between MRI visits, and 43 well-matched controls. Contrary to pre-registered predictions (https://osf.io/h5uba/), there was no statistically credible increase in depression in mild traumatic brain injury cases relative to controls. Mild traumatic brain injury was associated with subtle changes in motivational neural circuit recruitment during the anticipation of incentives on the Monetary Incentive Delay paradigm. Specifically, changes in neural recruitment appeared to reflect a failure to deactivate 'task-negative' brain regions (ventromedial prefrontal cortex), alongside blunted recruitment of 'task-positive' regions (anterior cingulate, anterior insula and caudate), during the anticipation of reward and loss in adolescents following mild brain injuries. Critically, these changes in brain activity were not correlated with depressive symptoms at either visit or depression change scores before and after the brain injury. Increased time since injury was associated with a recovery of cognitive functioning-driven primarily by processing speed differences-but depression did not scale with time since injury. These cognitive changes were also uncorrelated with neural changes after mild traumatic brain injury. This report provides evidence that acquired depression may not be observed as commonly after a mild traumatic brain injury in late childhood and early adolescence, relative to findings in adult cases. Several reasons for these differing findings are considered, including sampling enrichment in retrospective cohort studies, under-reporting of depressive symptoms in parent-report data, and neuroprotective factors in childhood and adolescence.

Clinical Significance of the Control CT Rotterdam Score Compared With the Admission CT Rotterdam Score in Patients With Isolated Severe Traumatic Brain Injury in the Intensive Care Unit.

The Rotterdam scale is one of the most commonly used radiological scales for evaluating and predicting outcomes in traumatic brain injury (TBI) cases. Given the evolving nature of TBI, our study is designed to compare the Rotterdam score of computed tomography (CT) findings upon admission (Rotterdam score I) with the score after 72 hours (Rotterdam score II) of treatment in the trauma intensive care unit (ICU). A retrospective observational study was conducted on 54 patients who received intensive care treatment for isolated severe TBI over five years. We included severe TBI patients with no age restrictions who required admission to the ICU within 12 hours of the onset of trauma. An initial Rotterdam CT score was obtained via a CT head scan within four hours of the trauma, followed by a control CT head scan 72 hours after ICU admission. It was essential to have documentation on the clinical and laboratory treatment course and access to radiological CT diagnostics. Receiver operating characteristic (ROC) curves were employed in this study to evaluate the accuracy of diagnostic tests, such as the Rotterdam score. The ROC curves provided a graphical representation of the tests' diagnostic performance, which helped assess their effectiveness. There was a significant difference (p < 0.001) in the diagnostic scores of CT scans upon admission (Rotterdam score I) and control CT scans after 72 hours (Rotterdam score II) in the total sample. The Rotterdam score I was notably higher, 3.6 (±0.8), in patients requiring neurosurgical intervention compared to those who did not, 2.8 (±0.9), with significance (p = 0.003). The Rotterdam score I demonstrated a substantial predictive value for unfavorable outcomes (p = 0.048), as did the Rotterdam score II after the 72-hour mark (p = 0.006). The control Rotterdam score 72 hours after admission predicts mortality in isolated TBI patients more significantly than the Rotterdam score determined at the patient's admission to the intensive care unit.

A comparative analysis of the Trauma and Injury Severity Score and the Injury Severity Score in predicting high-value care outcomes in children with traumatic brain injury.

Predicting high-value care outcomes is crucial in managing pediatric traumatic brain injuries (TBIs), where timely and accurate prognostication can significantly influence treatment decisions and resource allocation. This study aimed to enhance understanding of how well scoring systems such as the Trauma and Injury Severity Score (TRISS) can forecast high-value care outcomes. Furthermore, the authors compared the predictive power of TRISS with the routinely used Injury Severity Score (ISS). The authors performed a retrospective review of their institutional database from June 2016 to June 2023 to identify cases of TBI based on a modified Centers for Disease Control and Prevention framework. Prolonged length of stay (LOS) was defined as a hospital stay falling into the upper quartile of the overall cohort. Discharge to an inpatient rehabilitation facility, acute care hospital, or foster care or death was defined as a nonroutine discharge disposition. Emergency department (ED) transfer to the intensive care unit (ICU) or operating room (OR) was defined as a proxy for severity of injuries. Multivariate logistic regression models were used to explore the association between ISS, TRISS, and high-value care outcomes. The DeLong test was used to assess the differences between the areas under the receiver operating characteristic curve (AUROCs). This study included 2705 patients with a mean age ± SD of 7.28 ± 5.46 years (63% male). In the overall cohort, 28% experienced prolonged LOS, 7% had a nonroutine discharge disposition from the hospital, and 23% were transferred to the ICU/OR from the ED. In multivariate regression models, both TRISS and ISS were correlated with higher odds of prolonged LOS, nonroutine discharge disposition, and transfer to the ICU/OR from the ED (all p < 0.001). TRISS had a significantly greater AUROC than ISS for nonroutine discharge disposition (0.883 vs 0.849, p < 0.001) and transfer to the ICU/OR (0.898 vs 0.887, p = 0.045), but this result was not significant for prolonged LOS (0.873 vs 0.880, p = 0.140). TRISS and ISS are effective tools for predicting high-value care outcomes in pediatric TBI. Utilizing these resources can assist healthcare providers in making informed, risk-adjusted predictions.

ORGAN WEIGHT VARIATIONS IN CASES OF DROWNING IN FRESH WATER IN COMPARISION WITH NON-DROWNING DEATHS

Background: Diagnosis of drowning as a cause of death still remains a challenge in forensic pathology due to scanty pathognomic signs. Traditional diagnostic methods have shown limitations, prompting interest and pursuit on alternative approaches. One such approach involves analysing the weight of internal organs, particularly the lungs and spleen, to provide additional supportive evidence. Objectives: This study aimed to investigate the variations in organ weights in wet fresh water drowning cases compared to deaths due to other causes and assess the utility of the drowning index as a diagnostic tool. Methods: The study analyzed the findings in 245 cases,that were brought to the Department of Forensic Medicine, Government Medical College, Kozhikode for medico-legal autopsy. It included 83 cases of hanging, 71 cases of wet fresh water drowning and 91 cases of traumatic brain injury. Lung, spleen and other organ weights were measured using an electronic scale. The data obtained were subjected to statistical analysis using SPSS version 18 with focus on comparative analysis across the different types. Results: The results showed a significant increase in weight of lungs and a decrease in spleen weight in persons who had died of drowning when compared to other causes of death. However, the drowning index, though elevated in drowning cases, did not consistently surpass the established diagnostic threshold, suggesting variability and potential limitations in its application as a reliable diagnostic marker. Conclusion: Variations in weights of lungs and spleen can provide valuable clues in the diagnosis of drowning, but their diagnostic utility as a stand alone criteria is limited to a certain extent by case-to-case variability. The drowning index demonstrates potential as a supplementary diagnostic tool but requires further validation through more extensive studies to improve its reliability and accuracy.

Early Treatment of Cerebrospinal Fluid Leakage After Traumatic Injury Using Pedicled Autologous Fascia Flap.

This study aims to investigate the efficacy of early intervention in cerebrospinal fluid leakage following traumatic brain injury through the utilization of pedicled autologous fascia flaps. A retrospective case series, spanning from May 2021 to May 2022, analyzed 8 traumatic brain injury cases with concomitant cerebrospinal fluid leakage. Each patient underwent simultaneous brain surgery and transcranial repair of the cerebrospinal fluid leak, employing a pedicled autologous fascia flap. Clinical and imaging data were comprehensively recorded throughout the entire duration of the cases, and patient follow-ups were conducted through outpatient visits and telephone consultations. The study comprised 8 enrolled patients, consisting of 7 males and 1 female, all of whom sustained injuries from traffic accidents. The mean age ranged from 17 to 55 years. Among the patients, three presented with acute epidural hematoma, three with simple concave fractures, and 2 with concave fractures accompanied by brain contusion. Frontal sinus fractures were observed in all cases. All surgical interventions were successful, with no instances of cerebrospinal fluid leakage postoperatively. In addition, none of the patients developed intracranial infections. At the conclusion of the follow-up period, recurrent cerebrospinal fluid leakage was not observed in any of the patients. In cases where surgical intervention is necessary for cerebrospinal fluid leakage resulting from anterior cranial base fractures, the application of pedicled autologous fascia flaps in the acute stage proves effective in repairing leaks at the anterior cranial base. This approach may contribute to a reduction in the incidence of intracranial infections, ultimately yielding satisfactory patient recovery.

Development of predictive model for the neurological deterioration among mild traumatic brain injury patients using machine learning algorithms.

Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) cases. While some mTBI would suffer neurological deterioration (ND) and therefore have poorer prognosis. This study was designed to develop the predictive model for the ND among mTBI using machine learning algorithms. mTBI patients recorded in the Medical Information Mart for Intensive Care-III were selected for the study. The ND was defined as a drop of Glasgow Coma Scale ≥ 2 within the first 7day after admission. Eight machine learning algorithms were trained and validated with 5-fold cross validation including extreme gradient boosting, logistic regression, light gradient boosting machine, random forest, adaptive boosting, decision tree, complement naïve Bayes, and support vector machine. The value of eight machine learning algorithms was compared by the area under the receiver operating characteristic curve (AUC). 361 mTBI patients suffered the ND with the incidence of 30.7%. The ND group had higher 30-day mortality (p = 0.001). In the training cohort of mTBI patients, the random forest performed the best on predicting the ND with the AUC of 1.000. The XGBoost and AdaBoost had an AUC of 0.827 and 0.815, respectively. The logistic regression performed the best on predicting the ND in the validation cohort with the AUC of 0.741. The XGBoost, random forest and AdaBoost had an AUC of 0.729, 0.735, 0.736 in the validation cohort, respectively. After adjusting confounding effects, the multivariate logistic regression found only two independent risk factors for the ND including Sequential Organ Failure Assessment (SOFA) (p < 0.001) and hypertension (p = 0.001). The logistic regression predictive model composed of SOFA and hypertension had an AUC of 0.741. SOFA score and complicated hypertension are two independent risk factors for the neurological deterioration among mTBI patients. The logistic regression predictive model incorporating SOFA and hypertension is helpful to identify mTBI patients with the high risk of ND.

Microglial process convergence onto injured axonal swellings, a human postmortem brain tissue study.

Traumatic brain injury (TBI) affects millions globally, with a majority of TBI cases being classified as mild, in which diffuse pathologies prevail. Two of the pathological hallmarks of TBI are diffuse axonal injury and microglial activation. While progress has been made investigating the breadth of TBI-induced axonal injury and microglial changes in rodents, the neuroinflammatory progression and interaction between microglia and injured axons following brain injury in humans is less well understood. Our group previously investigated microglial process convergence (MPC), in which processes of non-phagocytic microglia directly contact injured proximal axonal segments, in rats and micropigs acutely following TBI. These studies demonstrated that MPC occurred on injured axons in the micropig, but not in the rat, following diffuse TBI. While it has been shown that microglia co-exist and interact with injured axons in humans post-TBI, the occurrence of MPC has not been quantitatively measured in the human brain. Therefore, in the current study we sought to validate our pig findings in human postmortem tissue. We investigated MPC onto injured axonal swellings and intact myelinated fibers in cases from individuals that sustained a TBI and control human brain tissue using multiplex immunofluorescent histochemistry. We found an increase in MPC onto injured axonal swellings, consistent with our previous findings in micropigs, indicating that MPC is a clinically relevant phenomenon that warrants further investigation.