TBI Patients Research Articles

Predicting mortality in moderate-severe TBI patients without early withdrawal of life-sustaining treatments including ICU complications: The MYSTIC-score

PurposeTo develop and internally validate the MortalitY in Moderate-Severe TBI plus ICU Complications (MYSTIC)-Score to predict in-hospital mortality of msTBI patients without early (<24 h) withdrawal-of-life-sustaining treatments. MethodsWe analyzed data from a Neuro-Trauma Intensive Care Unit prospectively collected between 11/2009–5/2019. Consecutive adult msTBI patients were included if Glasgow Coma Scale≤12, and neither died nor had withdrawal-of-life-sustaining treatments within 24 h of admission (n = 485). Using univariate and multivariable logistic regression in a random-split cohort approach (2/3 derivation;1/3 validation), we identified independent predictors of in-hospital mortality while adjusting for validated predictors of mortality (IMPACT-variables). We constructed the MYSTIC-Score and examined discrimination and calibration. ResultsThe MYSTIC-Score included the ICU complications brain edema, herniation, systemic inflammatory response syndrome, sepsis, acute kidney injury, cardiac arrest, and urinary tract infection. In the derivation cohort(n = 324), discrimination and calibration were excellent (area-under-the-receiver-operating-curve [AUC-ROC] = 0.95;Hosmer-Lemeshow p-value = 0.09, with p > 0.05 indicating good calibration). Internal validation revealed an AUC-ROC = 0.93 and Hosmer-Lemeshow-p-value = 0.76 (n = 161). ConclusionsCertain ICU complications are independent predictors of in-hospital mortality and strengthen outcome prediction in msTBI when combined with validated admission predictors of mortality. However, external validation is needed to determine robustness and practical applicability of our model given the high potential for residual confounders.

Reorganized Hubs of Brain Functional Networks after Acute Mild Traumatic Brain Injury.

Mild traumatic brain injury (mTBI)-associated damage to hub regions can lead to disrupted modular structures of functional brain networks and may result in widespread cognitive and behavioral deficits. The spatial layout of brain connections and modules is essential for understanding the reorganization of brain networks to trauma. We investigated the roles of hubs in inter-subnetwork information coordination and integration using participation coefficients (PCs) in 74 patients with acute mTBI and 51 matched healthy controls. In some brain networks, such as default mode network (DMN) and frontoparietal network (FPN), mild TBI patients had decreased PC levels, while this measure was saliently increased in patients in other networks, such as the visual network. The hub disruption index was defined as the gradient of a straight line fitted to scatterplots of individual mTBI in participation coefficient versus mean participation coefficient of healthy groups. There was a trend of radical reorganization of some efficient "hub" nodes in patients (κ = -0.15), compared with controls (κ close to 0). The PC of brain hubs can also differentiate mTBI patients from controls with an 88% accuracy, and decreased PC levels in FPN can predict patient' s worse cognitive information processing speed (r = 0.36, p < 0.002) and working memory performance (r = 0.35, p < 0.002). Reduced PC within the DMN was associated with patients' complaints of post-concussion symptoms (r = -0.35, p < 0.002). This evidence suggests a trend of spatial transition of hub profiles in acute mTBI, and graph metrics of PC measures can be used as potential diagnostic biomarkers.

TO STUDY OF THE PROPORTION AND PATTERN OF SELECTIVE MICRONUTRIENT AND MACRONUTRIENT DEFICIENCY IN TRAUMATIC BRAIN INJURY PATIENT ADMITTED IN NEUROSURGERY ICU

Aim: To study the proportion of selective micronutrient and macronutrient deciency in traumatic brain injury. Material And Methods: A prospective observational Study performed at department of neurosurgery, SMS medical college, Jaipur.200 traumatic head injury patient of age 15 to 80 years admitted at neurosurgery trauma ICU with post resuscitation Glasgow coma scale (GCS) score of 3 to 8 (severe traumatic brain injury) were included in the study.“Malnutrition Universal Screening Tool” (MUST) was used to assess the nutritional status of all subjects and it was classied as: no risk, moderate risk and high risk of malnutrition when MUST score was 0, 1 and ≥ 2respectively. Severity of TBI was classied into mild, moderate, and severe based on Glasgow Coma Scale (GCS) when it ≥13, 9 -12 and ≤ 8 respectively. Serum electrolytes were measured at time of admission in emergency before starting intravenous uid and repeated at 24 hours after resuscitation and Serum electrolytes (serum sodium, potassium) were repeated at 24 hours after resuscitation and along with calcium, phosphate, B12. Results: Mild, moderate and severe TBI was revealed in 26%, 30.5% and 43.5% of the subjects respectively. All the nutrients intake viz. energy (kcal/d), protein (gm/d), CHO (gm/d) and fat (gm/d) was found to be signicantly less among the TBI subjects. Macronutrients inadequacy viz. energy (kcal/d), protein (gm/d), CHO (gm/d) and ber (gm/d) inadequacy was reported among 93.5%, 69%, 4.5% and 71.5% of the subjects respectively. Conclusion: Nutrition assessment upon admission of TBI patients could be a vital factor in identifying patients with malnutrition, and prevention from nutrition-related complications.

Effects of sequential aeromedical evacuations following traumatic brain injury in swine

IntroductionTraumatic brain injuries (TBI) represent a significant percentage of critical injuries in military conflicts. Following injury, wounded warfighters are often subjected to multiple aeromedical evacuations (AE) and associated hypobaria, yet the impact in TBI patients remains to be characterized. This study evaluated the impact of two consecutive simulated AEs in a fluid-percussion TBI model in swine to characterize these effects. MethodsFollowing instrumentation, anesthetized Yorkshire swine underwent a frontal TBI via fluid-percussion. A hypobaric chamber was then used to simulate AE at simulated cabin pressure equivalent to 8000ft (hypobaria) in a 6 h initial flight on day 3, followed by a 9 h flight on day 6, and were monitored for 14 days. Animals in the normobaria group were subjected to the same steps at sea level while Sham animals in both groups were instrumented but not injured. Parameters measured included physiologic response, intracranial pressure (ICP), hematology, chemistry, and serum cytokines. Histopathology of brain, lung, intestine, and kidney was performed, as well as fluorojade staining to evaluate neurodegeneration. All animals were divided into sub-groups by block randomization utilizing a 2-way ANOVA to analyze independent variables. ResultsSurvival was 100% in all groups. Physiologic parameters were largely similar across groups as well during both 6 and 9 h AE. Animals exposed to hypobaria in both the TBI and Sham groups had elevated heart rate (HR) during the 6 h flight (p<0.05). Three animals in the TBI hypo group demonstrated leukocytosis with histologic evidence of meningeal inflammatory response. Expression of serum cytokines was low across all groups. No significant neuronal degeneration was identified in areas away from the site of injury. ConclusionAeromedical evacuation in swine was not associated with significant differences in physiologic measures, cytokine expression or levels of neuronal degeneration. Histological examination revealed higher risk of meningeal inflammatory response and leucocytosis in swine exposed to hypobaria.

A retrospective review of patients who sustained traumatic brain injury in Ireland 2014–2019

IntroductionTraumatic brain injury (TBI) is the most significant cause of death and disability resulting from major trauma. The aim of this study is to describe the demographics of TBI patients, the current pathways of care and outcomes in the Republic of Ireland from 2014 to 2019. MethodsWe performed a retrospective review of all TBI patients meeting inclusion criteria in Ireland's Major Trauma Audit (MTA) from 2014 to 2019. Severe TBI was defined as an abbreviated injury scale (AIS) ≥3 and GCS ≤8. ResultsDuring the study period, 30,891 patients sustained major trauma meeting inclusion criteria for MTA, of which 7,393 (23.9%) patients met the inclusion criteria for TBI; 1,025 (13.9%) were classified as severe. The median age was 60.6 years (IQR 36.9–78.0), 54.3 years (32.8–73.4) for males and 71.7 years (50.0–83.0) for females (p<0.001). Of patients with severe TBI, 185 (18.0%) were brought direct to a neurosurgical centre, 389 (37.9%) were transferred to a neurosurgical centre and 321 (31.3%) had a neurosurgical intervention performed. In patients sustaining severe TBI, older patients (Adjusted OR, 0.96,95% CI 0.95–0.97) and patients requiring another surgery (OR 0.31, 95%CI 0.18–0.53) were less likely to be secondarily transferred to a neurosurgical centre. There were 47 (4.6%) patients with severe TBI discharged to rehabilitation. The 30-day mortality in Ireland was 11.6% in all TBI patients and 45.5% in severe TBI patients. Older patients and patients with higher ISS had a higher chance of death. Male patients, patients treated in neurosurgical centre, patients who had neurosurgery or non-neurosurgical surgery had a higher chance of survival. ConclusionThis population-based study bench marks the ‘as is’ for patients with TBI in Ireland. We found that presently in Ireland, the mortality rate from severe TBI appears to be higher than that reported in international literature, and only a minority of severe TBI patients are brought directly from the incident to a neurosurgical centre. The new major trauma system should focus on providing effective and efficient access to neurosurgical, neuro-critical and neuro-rehabilitative care for patients who sustain TBI.

Segregation over time in functional networks in prefrontal cortex for individuals suffering from pathological fatigue after traumatic brain injury.

Pathological fatigue is present when fatigue is perceived to continually interfere with everyday life. Pathological fatigue has been linked with a dysfunction in the cortico-striatal-thalamic circuits. Previous studies have investigated measures of functional connectivity, such as modularity to quantify levels of segregation. However, previous results have shown both increases and decreases in segregation for pathological fatigue. There are multiple factors why previous studies might have differing results, including: (i) Does the functional connectivity of patients with pathological fatigue display more segregation or integration compared to healthy controls? (ii) Do network properties differ depending on whether patients with pathological fatigue perform a task compared to periods of rest? (iii) Are the brain networks of patients with pathological fatigue and healthy controls differently affected by prolonged cognitive activity? We recruited individuals suffering from pathological fatigue after mild traumatic brain injury (n = 20) and age-matched healthy controls (n = 20) to perform cognitive tasks for 2.5 h. We used functional near-infrared spectroscopy (fNIRS) to assess hemodynamic changes in the frontal cortex. The participants had a resting state session before and after the cognitive test session. Cognitive testing included the Digit Symbol Coding test at the beginning and the end of the procedure to measure processing speed. We conducted an exploratory network analysis on these resting state and Digit Symbol Coding sessions with no a priori hypothesis relating to how patients and controls differ in their functional networks since previous research has found results in both directions. Our result showed a Group vs. Time interaction (p = 0.026, ηp2 = 0.137), with a post hoc test revealing that the TBI patients developed higher modularity toward the end of the cognitive test session. This work helps to identify how functional networks differ under pathological fatigue compared to healthy controls. Further, it shows how the functional networks dynamically change over time as the patient performs tasks over a time scale that affect their fatigue level.

Predictive role of shock index in the early formation of cerebral infarction in patients with TBI and cerebral herniation.

Background and purposeTraumatic brain injury (TBI) with brain herniation predisposes to posttraumatic cerebral infarction (PTCI), which in turn seriously affects the prognosis of patients. At present, there is a lack of effective indicators that can accurately predict the occurrence of PTCI. We aimed to find possible risk factors for the development of PTCI by comparing the preoperative and postoperative clinical data of TBI patients with brain herniation.MethodsThe clinical data of 120 patients with craniocerebral trauma and brain herniation were retrospectively analyzed. Among them, 54 patients had cerebral infarction within 3–7 days after injury. The two groups of patients were compared through univariate and multivariate logistic regression analysis, and a classification tree model and a nomogram model were constructed. Finally, receiver operating characteristic curve analysis and decision curve analysis were conducted to analyze the clinical utility of the prediction model.ResultsLogistic regression analysis showed that factors like the Glasgow Coma Scale (GCS) score (P = 0.002), subarachnoid hemorrhage (SAH) (P = 0.005), aspiration pneumonia (P < 0.001), decompressive craniectomy (P < 0.05), intracranial pressure (ICP) monitoring (P = 0.006), the shock index (SI) (P < 0.001), the mean arterial pressure (MAP) (P = 0.005), and blood glucose (GLU) (P < 0.011) appeared to show a significant statistical correlation with the occurrence of infarction (P < 0.05), while age, sex, body temperature (T), D-dimer levels, and coagulation tests were not significantly correlated with PTCI after cerebral herniation. Combined with the above factors, Classification and Regression Tree was established, and the recognition accuracy rate reached 76.67%.ConclusionsGCS score at admission, no decompressive craniectomy, no ICP monitoring, combined SAH, combined aspiration pneumonia, SI, MAP, and high GLU were risk factors for infarction, of which SI was the primary predictor of PTCI in TBI with an area under the curve of 0.775 (95% CI = 0.689–0.861). Further large-scale studies are needed to confirm these results.

Astrocytic IGF-1 and IGF-1R Orchestrate Mitophagy in Traumatic Brain Injury via Exosomal miR-let-7e.

Defective brain hormonal signaling and autophagy have been associated with neurodegeneration after brain insults, characterized by neuronal loss and cognitive dysfunction. However, few studies have linked them in the context of brain injury. Insulin-like growth factor-1 (IGF-1) is an important hormone that contributes to growth, cell proliferation, and autophagy and is also expressed in the brain. Here, we assessed the clinical data from TBI patients and performed both in vitro and in vivo experiments with proteomic and gene-chip analysis to assess the functions of IGF-1 in mitophagy following TBI. We show that reduced plasma IGF-1 is correlated with cognition in TBI patients. Overexpression of astrocytic IGF-1 improves cognitive dysfunction and mitophagy in TBI mice. Mechanically, proteomics data show that the IGF-1-related NF-κB pathway transcriptionally regulates decapping mRNA2 (Dcp2) and miR-let-7, together with IGF-1R to orchestrate mitophagy in TBI. Finally, we demonstrate that brain injury induces impaired mitophagy at the chronic stage and that IGF-1 treatment could facilitate the mitophagy markers via exosomal miR-let-7e. By showing that IGF-1 is an important mediator of the beneficial effect of the neural-endocrine network in TBI models, our findings place IGF-1/IGF-1R as a potential target capable of noncoding RNAs and opposing mitophagy failure and cognitive impairment in TBI.

An exploratory assessment of the management of pediatric traumatic brain injury in three centers in Africa.

PurposeTraumatic brain injury (TBI) is a leading cause of morbidity and mortality in low- and middle-income countries (LMICs). Hospital care practices of pediatric TBI patients in LMICs are unknown. Our objective was to report on hospital management and outcomes of children with TBI in three centers in LMICs.MethodsWe completed a secondary analysis of a prospective observational study in children (<18 years) over a 4-week period. Outcome was determined by Pediatric Cerebral Performance Category (PCPC) score; an unfavorable score was defined as PCPC > 2 or an increase of two points from baseline. Data were compared using Chi-square and Wilcoxon rank sum tests.ResultsFifty-six children presented with TBI (age 0–17 y), most commonly due to falls (43%, n = 24). Emergency department Glasgow Coma Scale scores were ≤ 8 in 21% (n = 12). Head computed tomography was performed in 79% (n = 44) of patients. Forty (71%) children were admitted to the hospital, 25 (63%) of whom were treated for suspected intracranial hypertension. Intracranial pressure monitoring was unavailable. Five (9%, n = 5) children died and 10 (28%, n = 36) inpatient survivors had a newly diagnosed unfavorable outcome on discharge.ConclusionInpatient management and monitoring capability of pediatric TBI patients in 3 LMIC-based tertiary hospitals was varied. Results support the need for prospective studies to inform development of evidence-based TBI management guidelines tailored to the unique needs and resources in LMICs.

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

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

C-reactive protein-albumin ratio and procalcitonin in predicting intensive care unit mortality in traumatic brain injury.

BackgroundPrediction of intensive care unit (ICU) mortality in traumatic brain injury (TBI), which is a common cause of death in children and young adults, is important for injury management. Neuroinflammation is responsible for both primary and secondary brain injury, and C-reactive protein-albumin ratio (CAR) has allowed use of biomarkers such as procalcitonin (PCT) in predicting mortality. Here, we compared the performance of CAR and PCT in predicting ICU mortality in TBI.MethodsAdults with TBI were enrolled in our study. The medical records of 82 isolated TBI patients were reviewed retrospectively.ResultsThe mean patient age was 49.0 ± 22.69 years; 59 of all patients (72%) were discharged, and 23 (28%) died. There was a statistically significant difference between PCT and CAR values according to mortality (P<0.05). The area under the curve (AUC) was 0.646 with 0.071 standard error for PCT and 0.642 with 0.066 standard error for CAR. The PCT showed a similar AUC of the receiver operating characteristic to CAR. ConclusionsThis study shows that CAR and PCT are usable biomarkers to predict ICU mortality in TBI. When the determined cut-off values are used to predict the course of the disease, the CAR and PCT biomarkers will provide more effective information for treatment planning and for preparation of the family for the treatment process and to manage their outcome expectations.

An interpretable neural network for outcome prediction in traumatic brain injury

BackgroundTraumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help physicians predict long-term outcomes of TBI so that appropriate treatment plans can be adopted. However, many ML techniques are “black box”: it is difficult for humans to understand the decisions made by the model, with post-hoc explanations only identifying isolated relevant factors rather than combinations of factors. Moreover, such models often rely on many variables, some of which might not be available at the time of hospitalization.MethodsIn this study, we apply an interpretable neural network model based on tropical geometry to predict unfavorable outcomes at six months from hospitalization in TBI patients, based on information available at the time of admission.ResultsThe proposed method is compared to established machine learning methods—XGBoost, Random Forest, and SVM—achieving comparable performance in terms of area under the receiver operating characteristic curve (AUC)—0.799 for the proposed method vs. 0.810 for the best black box model. Moreover, the proposed method allows for the extraction of simple, human-understandable rules that explain the model’s predictions and can be used as general guidelines by clinicians to inform treatment decisions.ConclusionsThe classification results for the proposed model are comparable with those of traditional ML methods. However, our model is interpretable, and it allows the extraction of intelligible rules. These rules can be used to determine relevant factors in assessing TBI outcomes and can be used in situations when not all necessary factors are known to inform the full model’s decision.

Implementing a behavior management approach in the hospital setting for individuals with challenging behaviors during acute traumatic brain injury

ABSTRACT Primary Objective This study aimed to determine if implementing a clinically pragmatic behavior management approach for challenging behaviors during acute TBI reduces use of restraints, security incidences, acute length of stay admission and cost, thereby improving progress to rehabilitation. Research Design This pilot study involved a behavior management group (n = 27), compared with a historical control group (n = 74). Method and Procedures The behavior management group received care following the implementation of a behavior management approach for challenging behaviors during acute TBI at two hospitals in South Australia. Main Outcomes and Results Fidelity results demonstrated high level of adherence to the implemented behavior management approach. The behavior management group had significant lower use of mechanical restraints (p = 0.03), and significantly lower acute admission costs (p = 0.034). Trends in lower pharmacological restraint usage, lower acute hospital length of stay and time from admission to rehabilitation acceptance were recorded. Conclusions These pilot results contribute to improving quality of health care but methodological limitations make outcomes difficult to interpret as a direct result of the intervention. Future studies are required to investigate evidence-based behavior management interventions for acute TBI patients using more rigorous knowledge translation implementation designs.

Current Status and Outcomes of Critical Traumatic Brain Injury (GCS = 3-5) in a Developing Country: A Retrospective, Registry-Based Study.

Patients sustaining critical TBI [initial Glasgow Coma Scale (GCS) ≤ 5] generally have poor outcomes. Little is known about the frequency, mortality rate, and functional outcomes of such patients in Iran. In this retrospective, registry-based cohort study, the demographic and clinicoradiological findings of TBI patients were queried from March 21, 2017, to March 21, 2020. We included TBI patients with initial GCS of 3-5. The functional outcome was assessed using the Glasgow Outcome Score-extended 6 (GOSE-6) months after the hospital discharge. Patients were classified as having unfavorable (GOSE-6 ≤ 4) and favorable (GOSE-6 > 4) outcomes. Gathered data were compared between groups. Multivariable logistic regression analysis was done to find factors affecting the outcome. Four hundred ninety-seven patients (mean age = 37.59 ± 17.89) were enrolled, and 69.2% had unfavorable outcomes. Elderly patients (age ≥ 65years) were highly overrepresented among the unfavorable group. 48.9% had bilateral fixed dilated pupils (BDFP), who mostly attained unfavorable outcomes. The overall in-hospital mortality rate was 50.3%. The in-hospital mortality rate was appalling among elderly patients with BFDP and GCS 3( 90%) and GCS 4(100%). Age ≥ 65years [odds ratio (OR) 3.45, 95% confidence interval (CI) 1.19-10.04], and BFDP (OR 4.48, 95% CI 2.60-7.73) increase the odds of unfavorable outcomes according to the regression analysis. The survival rate and favorable outcomes of critical TBI patients are generally poor. However, we believe that the neurotrauma surgeons should discuss with patients' proxies and explain the clinical conditions and possible outcomes.

High blood Fas concentrations in non-survivor patients with traumatic brain injury.

Fas is one of the main death receptors of the extrinsic pathway of apoptosis. A study has reported higher Fas expression in brain samples of non-surviving TBI patients than in survivors. The objective of our current study was to determine whether there is an association between Fas concentrations in blood and mortality of isolated TBI patients. Patients with severe TBI [< 9 points in Glasgow Coma Scale (GCS)] and isolated TBI (< 10 non-cranial aspects points on the Injury Severity Score) were included from 5 Intensive Care Units. We measured serum Fas concentrations on the day of TBI. Non-surviving (n = 23) compared to surviving patients (n = 57) had higher age (p = 0.01), lower GCS (p = 0.001), higher APACHE-II score (p < 0.001), higher ICP (p = 0.01), higher CT findings with high risk of death (p = 0.02) and higher serum Fas concentrations (p < 0.001). We found in regression analyses an association between serum Fas levels and mortality of TBI patients after controlling for CT findings, age and CGS (OR = 1.006; 95% CI 1.001-1.011; p = 0.02), and after controlling for CT findings, ICP and APACHE-II (OR = 1.007; 95% CI 1.001-1.012; p = 0.02). Thus, the most interesting and novel finding in this study is the association between high blood Fas concentrations and mortality in TBI patients.

Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion.

BackgroundTraumatic brain injury (TBI) is the main cause of death and severe disability in young adults worldwide. Progressive hemorrhage (PH) worsens the disease and can cause a poor neurological prognosis. Radiomics analysis has been used for hematoma expansion of hypertensive intracerebral hemorrhage. This study attempts to develop an optimal radiomics model based on non-contrast CT to predict PH by machine learning (ML) methods and compare its prediction performance with clinical-radiological models.MethodsWe retrospectively analyzed 165 TBI patients, including 89 patients with PH and 76 patients without PH, whose data were randomized into a training set and a testing set at a ratio of 7:3. A total of 10 different machine learning methods were used to predict PH. Univariate and multivariable logistic regression analyses were implemented to screen clinical-radiological factors and to establish a clinical-radiological model. Then, a combined model combining clinical-radiological factors with the radiomics score was constructed. The area under the receiver operating characteristic curve (AUC), accuracy and F1 score, sensitivity, and specificity were used to evaluate the models.ResultsAmong the 10 various ML algorithms, the support vector machine (SVM) had the best prediction performance based on 12 radiomics features, including the AUC (training set: 0.918; testing set: 0.879) and accuracy (training set: 0.872; test set: 0.834). Among the clinical and radiological factors, the onset-to-baseline CT time, the scalp hematoma, and fibrinogen were associated with PH. The radiomics model's prediction performance was better than the clinical-radiological model, while the predictive nomogram combining the radiomics features with clinical-radiological characteristics performed best.ConclusionsThe radiomics model outperformed the traditional clinical-radiological model in predicting PH. The nomogram model of the combined radiomics features and clinical-radiological factors is a helpful tool for PH.

Evaluation of levetiracetam for early post-traumatic seizure prophylaxis: A level II trauma center experience

IntroductionTraumatic brain injury (TBI) can induce early or late post-traumatic seizures (PTS). While PTS incidence is low, prophylaxis is used despite a lack of consensus on agent or duration. Levetiracetam (LEV) for early PTS prophylaxis is preferred due to its safety and efficacy. The purpose of this study was to evaluate LEV for early PTS prophylaxis. Methods and materialsA single-center, retrospective chart review of TBI patients ≥18 years who received LEV for early PTS prophylaxis between August 2018–July 2019. The primary outcome was LEV duration. Secondary outcomes were incidence of seizure, intensive care unit (ICU) and hospital length of stay (LOS). ResultsOf the 137 included, mean age was 59 ± 20 years and 69.3% were male. The mean admission GCS was 13 ± 4 and 77.4% had mild TBI. Median LEV duration was 7 (IQR 4–10) days and 13.9% met recommended 7-day duration. Those prescribed LEV >7 days had more than twice the median LEV duration than those prescribed ≤7 days [10.25 (8.5–15.5) vs 4 (1.5–4.5) days, p < 0.0001]. Electroencephalography-confirmed PTS occurred in 2.2%, with an early PTS incidence of 0.73%. Median ICU and hospital LOS were 2 (IQR 1–7) and 7 (IQR 3–16) days, respectively. ConclusionsThe incidence of PTS was low as most patients in our study had mild or moderate TBI. Early PTS prophylaxis with LEV for 7 days is appropriate, although the majority of patients did not meet the recommended duration. Efforts to standardize and implement PTS prophylaxis protocols are needed.

Neurobehavioral and Biochemical Evidences in Support of Protective Effect of Marrubiin (Furan Labdane Diterpene) from Marrubium vulgare Linn. and Its Extracts after Traumatic Brain Injury in Experimental Mice.

Traumatic brain injuries due to sudden accidents cause major physical and mental health problems and are one of the main reasons behind the mortality and disability of patients. Research on alternate natural sources could be a boon for the rehabilitation of poor TBI patients. The literature indicates the Marrubium vulgare Linn. and its secondary metabolite marrubiin (furan labdane diterpene) possess various pharmacological properties such as vasorelaxant, calcium channel blocker, antioxidant, and antiedematogenic activities. Hence, in the present research, both marrubiin and hydroalcoholic extracts of the plant were evaluated for their neuroprotective effect after TBI. The neurological severity score and oxidative stress parameters are significantly altered by the test samples. Moreover, the neurotransmitter analysis indicated a significant change in GABA and glutamate. The histopathological study also supported the observed results. The improved neuroprotective potential of the extract could be attributed to the presence of a large number of secondary metabolites including marrubiin.

Predicting Outcome for Early Attention Training After Acquired Brain Injury

BackgroundThe training of impaired attention after acquired brain injury is central for successful reintegration in daily living, social, and working life. Using statistical process control, we found different improvement trajectories following attention training in a group of relatively homogeneous patients early after acquired brain injury (ABI).ObjectiveTo examine the contribution of pre-injury factors and clinical characteristics to differences in outcome after early attention training.Materials and MethodsData collected in a clinical trial comparing systematic attention training (APT) with activity-based attention training (ABAT) early after brain injury were reanalyzed.ResultsStroke patients (p = 0.004) with unifocal (p = 0.002) and right hemisphere lesions (p = 0.045), and those with higher mental flexibility (TMT 4) (p = 0.048) benefitted most from APT training. Cognitive reserve (p = 0.030) was associated with CHANGE and APT as the sole pre-injury factor. For TBI patients, there was no statistical difference between the two treatments.ConclusionOur study identifies indiscernible factors predicting improvement after early attention training. APT is beneficial for patients with right-hemispheric stroke in an early recovery phase. Knowledge of prognostic factors, including the level of attention deficit, diagnosis, and injury characteristics, is vital to maximizing the efficiency of resource allocation and the effectiveness of rehabilitative interventions to enhance outcomes following stroke and TBI.

The Effect of Cerebrolysin on Anxiety, Depression, and Cognition in Moderate and Severe Traumatic Brain Injury Patients: A CAPTAIN II Retrospective Trial Analysis.

Background and Objectives: Traumatic brain injuries represent an important source of disease burden requiring emergency inpatient care and continuous outpatient tailored rehabilitation. Although most TBIs are mild, patients are still developing post-TBI depression, anxiety, and cognitive impairments. Our secondary retrospective trial analysis aimed to (1) analyze correlations between HADS-Anxiety/HADS-Depression and scales that measure cognitive and motor processes in patients treated with Cerebrolysin compared to the placebo group and (2) compare anxiety and depression scores among the two treatment groups. Materials and Methods: Our secondary retrospective analysis focused on TBI patients with moderate and severe disability divided into two groups: Cerebrolysin (treatment) and saline solution (procedural placebo). We analyzed data from 125 patients. We computed descriptive statistics for nominal and continuous variables. We used Spearman’s correlation to find associations between HADS and other neuropsychological scales and the Mann–Whitney U test to compare HADS-Anxiety and HADS-Depression scores among the two study arms. Results: Our sample consisted of patients with a mean age of 45.3, primarily men, and with a 24 h GCS (Glasgow Coma Scale) mean of 12.67. We obtained statistically significant differences for HADS-Anxiety during the second and third visits for patients treated with Cerebrolysin. Our results show that Cerebrolysin has a large effect size (0.73) on anxiety levels. In addition, there are positive and negative correlations between HADS-Anxiety and Depression subscales and other neuropsychological scales. Conclusions: Our secondary database analysis supports the existing body of evidence on the positive effect of Cerebrolysin on post-TBI mental health status. Future confirmatory trials are necessary to clarify the link between the intervention and measured outcomes.