Post-discharge 6-Month Functional Recovery of Traumatic Brain Injury Survivors with Unfavorable Functional Status at Discharge: A Registry-Based Cohort Study.

BACKGROUND: Traumatic brain injury (TBI) is a major cause of physical disabilities worldwide. Herein, we aimed to investigate the factors contributing to post-discharge recovery in patients who were discharged with an unfavorable outcome. METHODS: We collected data on the characteristics of patients, with a focus on those who survived TBI but had an unfavorable outcome at discharge as measured by Glasgow Outcome Scale Extended (GOSE) categories 2, 3, and 4. Post-discharge recovery was defined as achieving a favorable functional status at 6 months (GOSE of 5 or more) with a minimum 2-point increase in GOSE. RESULTS: Of 4011 TBI patients in our registry, 797 had an unfavorable discharge functional status. In severe TBI, 51% achieved recovery, while in mild to moderate TBI, 57% achieved recovery after 6 months. Older patients and those with shorter intensive care unit length of stay were more likely to experience post-discharge recovery in both mild to moderate and severe TBI groups. The presence of skull base fracture was also associated with post-discharge recovery in severe TBI patients. Lastly, we show that, after adjustment for potential confounders, GOSE at discharge is associated with post-discharge recovery in both mild to moderate and severe TBI patients. CONCLUSIONS: This study found that the majority of patients discharged with an unfavorable functional status were able to achieve a favorable outcome within 6 months. The novel post-discharge recovery in TBI patients might be a useful tool for illuminating the factors associated with a significant improvement after discharge.

Early hypocoagulable state in traumatic brain injury patients: incidence, predisposing factors, and outcomes in a retrospective cohort study.

Coagulopathy development in traumatic brain injury (TBI) is among the significant complications that can negatively affect the clinical course and outcome of TBI patients. Timely identification of this complication is of utmost importance in the acute clinical setting. We reviewed TBI patients admitted to our trauma center from 2015 to 2021. Demographic data, mechanism of injury, findings on admission, imaging studies, procedures during hospitalization, and functional outcomes were gathered. INR with a cutoff of 1.3, platelet count less than 100 × 109/L, or partial thromboplastin time greater than 40s were utilized as the markers of coagulopathy. A total of 4002 patients were included. Coagulopathy occurred in 38.1% of the patients. Age of the patients (Odds Ratio (OR) = 0.993, 95% Confidence Interval (CI) = 0.986-0.999, p = 0.028), systolic blood pressure (OR = 0.993, 95% CI = 0.989-0.998, p = 0.005), fibrinogen level (OR = 0.998, 95% CI = 0.996-0.999, p < 0.001), and hemoglobin level (OR = 0.886, 95% CI = 0.839-0.936, p < 0.001) were independently associated with coagulopathy. Furthermore, coagulopathy was independently associated with higher mortality rates and longer ICU stays. Coagulopathy had the most substantial effect on mortality of TBI patients (OR = 2.6, 95% CI = 2.1-3.3, p < 0.001), compared to other admission clinical characteristics independently associated with mortality such as fixed pupillary light reflex (OR = 1.8, 95% CI = 1.5-2.4, p < 0.001), GCS (OR = 0.91, 95% CI = 0.88-0.94, p < 0.001), and hemoglobin level (OR = 0.93, 95% CI = 0.88-0.98, p = 0.004). Early coagulopathy in TBI patients can lead to higher mortality rates. Future studies are needed to prove that early detection and correction of coagulopathy and modifiable risk factors may help improve outcomes of TBI patients.

Precision and Speed at Your Fingertips: An Automated Intracranial Hematoma Volume Calculation.

BACKGROUND: Intracranial hemorrhage (ICH) is a severe condition that requires rapid diagnosis and treatment. Automated methods for calculating ICH volumes can reduce human error and improve clinical decisioPlease provide professional degrees (e.g., PhD, MD) for the corresponding author.n-making. A novel automated method has been developed that is comparable to the ABC/2 method in terms of speed and accuracy while providing more accurate volumetric data. METHODS: We developed a novel automated algorithm for calculating intracranial blood volume from computed tomography (CT) scans. The algorithm consists of a Python script that processes Digital Imaging and Communications in Medicine images and determines the blood volume and ratio. The algorithm was validated against manual calculations performed by neurosurgeons. RESULTS: Our novel automated algorithm for calculating intracranial blood volume from CT scans demonstrated excellent agreement with the ABC/2 method, with a median overall difference of just 1.46 mL. The algorithm was also validated in patient groups with ICH, epidural hematoma (EDH), and SDH, with agreement coefficients of 0.992, 0.983, and 0.997, respectively. CONCLUSIONS: The study introduces a novel automated algorithm for calculating the volumes of various ICHs (EDH, and SDH) within CT scans. The algorithm showed excellent agreement with manual calculations and outperformed the commonly used ABC/2 method, which tends to overestimate ICH volume. The automated algorithm offers a more accurate, efficient, and time-saving approach to quantifying ICH, EDH, and SDH volumes, making it a valuable tool for clinical evaluation and decision-making.

Effect of low fibrinogen level on in-hospital mortality and 6-month functional outcome of TBI patients, a single center experience.

In patients affected by traumatic brain injury (TBI), hypofibrinogenemia within the initial hours of trauma can be expected due to vascular and inflammatory changes. In this study, we aimed to evaluate the effect of hypofibrinogenemia on the in-hospital mortality and 6-month functional outcomes of TBI patients, admitted to Rajaee Hospital, a referral trauma center in Shiraz, Iran. This study included all TBI patients admitted to our center who had no prior history of coagulopathy or any systemic disease, were alive on arrival, and had not received any blood product before admission. On admission, hospitalization, imaging, and 6-month follow-up information of included patients were extracted from the TBI registry database. The baseline characteristics of patients with fibrinogen levels of less than 150 mg/dL were compared with the cases with higher levels. To assess the effect of low fibrinogen levels on in-hospital mortality, a uni- and multivariate was conducted between those who died in hospital and survivors. Based on the 6-month GOSE score of patients, those with GOSE < 4 (unfavorable outcome) were compared with those with a favorable outcome. A total of 3049 patients (84.3% male, 15.7% female), with a mean age of 39.25 ± 18.87, met the eligibility criteria of this study. 494 patients had fibrinogen levels < 150 mg/dl, who were mostly younger and had lower average GCS scores in comparison to cases with higher fibrinogen levels. By comparison of the patients who died during hospitalization and survivors, it was shown that fibrinogen < 150 mg/dl is among the prognostic factors for in-hospital mortality (OR:1.75, CI: 1.32:2.34, P-value < 0.001), while the comparison between patients with the favorable and unfavorable functional outcome at 6-month follow-up, was not in favor of prognostic effect of low fibrinogen level (OR: 0.80, CI: 0.58: 1.11, P-value: 0.19). Hypofibrinogenemia is associated with in-hospital mortality of TBI patients, along with known factors such as higher age and lower initial GCS score. However, it is not among the prognostic factors of midterm functional outcome.

Development of a Novel Neurological Score Combining GCS and FOUR Scales for Assessment of Neurosurgical Patients with Traumatic Brain Injury: GCS-FOUR Scale.

BACKGROUND: Consciousness assessment is crucial for patients with traumatic brain injury. In this study, we developed a novel scoring system combining the Glasgow coma scale (GCS) and the full outline of unresponsiveness (FOUR) and evaluated its association with the intensive care unit (ICU) length of stay, mortality, and functional outcome. METHODS: We retrospectively analyzed the data from patients with traumatic brain injury admitted to the neurosurgical ICU of our institution during a 2-year period. The eye and motor components of the GCS and the brainstem reflex component of the FOUR were used to compute the GCS-FOUR. We performed statistical analysis to demonstrate the association between the GCS, FOUR, and GCS-FOUR and the ICU length of stay, mortality, the development of a persistent vegetative state, and desirable recovery. RESULTS: A total of 140 patients were included. The mean age was 30.6 years, and 89.3% were male. All 3 scores were associated with the ICU length of stay, mortality, a persistent vegetative state, and good recovery. In terms of predicting mortality, the GCS score exhibited a slight superiority compared with the other indexes, and the GCS-FOUR score showed a slight superiority over the other indexes in predicting for good recovery. CONCLUSIONS: The GCS-FOUR is a novel scoring system comparable to the GCS and FOUR regarding its association with functional status after injury, ICU length of stay, and mortality. The GCS-FOUR score provides greater neurological detail than the GCS due to the inclusion of brainstem reflexes, in addition to using the experience of healthcare providers with the GCS score compared with the FOUR in most settings.

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

Background and Aims: Traumatic brain injury (TBI) is a widespread global health issue with significant economic consequences. However, no existing model exists to predict the need for neurosurgical intervention in moderate TBI patients with positive initial computed tomography scans. This study determines the efficacy of machine learning (ML)-based models in predicting the need for neurosurgical intervention. Methods: This is a retrospective study of patients admitted to the neuro-intensive care unit of Emtiaz Hospital, Shiraz, Iran, between January 2018 and December 2020. The most clinically important variables from patients that met our inclusion and exclusion criteria were collected and used as predictors. We developed models using multilayer perceptron, random forest, support vector machines (SVM), and logistic regression. To evaluate the models, their F1-score, sensitivity, specificity, and accuracy were assessed using a fourfold cross-validation method. Results: Based on predictive models, SVM showed the highest performance in predicting the need for neurosurgical intervention, with an F1-score of 0.83, an area under curve of 0.93, sensitivity of 0.82, specificity of 0.84, a positive predictive value of 0.83, and a negative predictive value of 0.83. Conclusion: The use of ML-based models as decision-making tools can be effective in predicting with high accuracy whether neurosurgery will be necessary after moderate TBIs. These models may ultimately be used as decision-support tools to evaluate early intervention in TBI patients.

Effect of Dexmedotomdine hydrochloride (Percedex®) on functional outcome of patients with moderate and severe traumatic brain injury.

Traumatic brain injury (TBI) is considered among the leading causes of morbidity and mortality worldwide being associated with significant social and economic burden. The best sedative regimen in TBI patients is yet to be identified. This study was designed to determine the effects of dexmedotomdine hydrochloride (Percedex®, DEX) on functional outcome of patients with moderate and severe traumatic brain injury (TBI). This was a retrospective cohort study including patients with severe (3-8) and moderate (9-13) TBI referring to a level I trauma center. We studied two groups of patients, those receiving DEX or routine sedation regimen in neurointensive care unit (NICU). The main outcome measures were the Glasgow outcome scale extended (GOSE) at 3 and 6-month. We have also recorded ICU and hospital length of stay (LOS) and the tracheostomy rate. We included 138 patients in two study groups (each including 69). The baseline characteristics were comparable between groups. DEX was associated with lower LOS in hospital (p = 0.002) and NICU (p = 0.003). The GOSE was comparable between two study groups at 3 (p = 0.245) and 6-month (p = 0.497). Multivariate regression analysis revealed that after LOS of NICU and hospital stay adjustment, DEX group experienced significantly improved 6-month GOSE with the average improvement in score of 0.92 compared to the control group (p = 0.041). DEX administration in patients with moderate and severe TBI was associated with decreased NICU and hospital LOS and improved functional outcome at 6-month.

Effects of serum fibrinogen correction on outcome of traumatic cranial surgery: A randomized, single-blind, placebo-controlled clinical trial.

BACKGROUND: Traumatic brain injury (TBI) is strongly associated with coagulopathy that occurs in 25-35% of patients. This complication is linked to higher mortality and morbidity. Recent lines of evidance have supported administration of fibrinogen concentrate (FC) in patients with severe TBI, while its efficacy remains controversial. In this study we aim to evaluate the effectiveness of serum fibrinogen level correction from 1.5 and 2.0 g/l to more than 2.0 g/l in patients with severe TBI undergoing traumatic cranial surgery. METHOD: This randomized, single-blind, placebo-controlled clinical trial included trauma patients who had abbreviated injury scale (AIS) more than 3 in head and below 3 in other organs. FC was administered intravenously to patients with severe TBI undergoing TBI to correct the fibrinogen level above 2 g/l. Patients were randomly assigned to FC and control groups. The amount of intra-operative blood loss, packed cell (PC) transfusion, formation of new intracranial hemorrhage, and hemovac drainage were compared between the two study groups. RESULTS: Forty-seven of 65 participants received the study intervention within 40-112 min of admission. Intra-operative PC transfusion was higher in FC group (80%) compared to control group (55.5%) while the differance was not statistically significant (p > 0.05). Intra-operative blood loss was significantly higher in control group than FC group (P = 0.036). Chance of re-operation and new intracranial hematoma were not significantly different between two study groups. CONCLUSION: Early delivery of FC, decreases intraoperative bleeding. Although based on our findings it has no other effect on other parameters, further multicenter studies are recommended to investigate the role of early FC administration in management of post traumatic coagulopathy.

Civilian penetrating traumatic brain injury: A 5-year single-center experience.

Background: The aim of this study was to report the demographics and clinical features of patients with penetrating traumatic brain injury (PTBI) during the past 5 years in Rajaee Hospital, a tertiary referral trauma center in Shiraz, southern Iran. Methods: We conducted a 5-year retrospective evaluation of all patients diagnosed with PTBI who were referred to Rajaee Hospital. We retrieved the following items from the hospital's database and PACS system: patients' demographics, on-admission Glasgow Coma Scale (GCS), presence of trauma to other organs, duration of the hospital and ICU stay, the neurosurgical interventions, any necessity of tracheostomy, duration of ventilator dependency, the entrance point of the trauma in the skull, type of assault, length of trajectory in the brain parenchyma, the number of remaining objects in the brain, the occurrence of any hemorrhagic phenomenon, the cross of the bullet from the midline or coronal suture, and the presence of the pneumocephalus. Results: A total of 59 patients with a mean age of 28.75 ± 9.40 had PTBI over the 5 years. The mortality rate was 8.5%. Stab wounds, shotguns, gunshots, and airguns were the cause of injury in 33 (56%), 14 (23.7%), 10 (17%), and 2 (3.4%) patients, respectively. The median initial GCS of patients was 15 (3-15). Intracranial hemorrhage was observed in 33 cases, subdural hematoma in 18 cases, intraventricular hemorrhage in eight cases, and subarachnoid hemorrhage in four cases. The mean duration of hospitalization was 10.05 ± 10.75 (ranging from 1 to 62 days). Furthermore, 43 patients experienced ICU admission with mean days of 6.5 ± 5.62 (1-23). The temporal and frontal regions were the most common entrance points, in 23 and 19 patients, respectively. Conclusion: The incidence of PTBI is relatively low in our center, possibly due to the prohibition of possession or using warm weapons in Iran. Further, multicenter studies with larger sample sizes are needed to determine prognostic factors associated with worse clinical outcomes after PTBI.

Prognosis prediction in traumatic brain injury patients using machine learning algorithms.

Predicting treatment outcomes in traumatic brain injury (TBI) patients is challenging worldwide. The present study aimed to achieve the most accurate machine learning (ML) algorithms to predict the outcomes of TBI treatment by evaluating demographic features, laboratory data, imaging indices, and clinical features. We used data from 3347 patients admitted to a tertiary trauma centre in Iran from 2016 to 2021. After the exclusion of incomplete data, 1653 patients remained. We used ML algorithms such as random forest (RF) and decision tree (DT) with ten-fold cross-validation to develop the best prediction model. Our findings reveal that among different variables included in this study, the motor component of the Glasgow coma scale, the condition of pupils, and the condition of cisterns were the most reliable features for predicting in-hospital mortality, while the patients' age takes the place of cisterns condition when considering the long-term survival of TBI patients. Also, we found that the RF algorithm is the best model to predict the short-term mortality of TBI patients. However, the generalized linear model (GLM) algorithm showed the best performance (with an accuracy rate of 82.03 ± 2.34) in predicting the long-term survival of patients. Our results showed that using appropriate markers and with further development, ML has the potential to predict TBI patients' survival in the short- and long-term.

Effect of a Boswellia and Ginger Mixture on the Memory Dysfunction of the Mild Traumatic Brain Injury Patients: A Randomized, Double-Blind Controlled Trial.

Objective: To study a Boswellia and ginger mixture on the memory dysfunction of the mild traumatic brain injury (mTBI) patients. Methods: Patients with mTBI were asked about memory impairment following the injury. One hundred mTBI patients were visited and assessed using an auditory-visual learning test (AVLT) questionnaire. By using random permuted blocks, patients were given the Memoral (a mixture of 360 mg of Boswellia and 36 mg of ginger) or placebo and were asked to consume it for a month. Patients were assessed one and three months afterward using the second and third steps of AVLT, respectively. Results: One hundred patients were included in the study and divided into control and intervention groups. The mean age of the patients was 36.83±14.71, and there were no significant differences between the two groups (p=0.41). There were no statistically significant differences in the baseline scores of different AVLT parameters between the two groups. All patients had improvements in different parameters after three months. But some factors include the scores' change in total learning, retroactive interference score, forgetting rate, and net positive score were significantly higher in treatment groups at one-month and three-month follow-ups compared to the placebo group. In contrast, word span and hit parameters had the same pattern of improvement in both groups. Conclusion: The herbal medication can have a satisfactory effect on eliminating post-mTBI memory dysfunction while having no considerable adverse effects. The effect of these components can also be sustained after a two-month timeframe. These results may assist patients to have less mental involvement.

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

BACKGROUND: 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. METHODS: 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. RESULTS: Four hundred ninety-seven patients (mean age = 37.59 ± 17.89) were enrolled, and 69.2% had unfavorable outcomes. Elderly patients (age ≥ 65 years) 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 ≥ 65 years [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. CONCLUSION: 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.

A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months.

BACKGROUND: Traumatic brain injury (TBI), which occurs commonly worldwide, is among the more costly of health and socioeconomic problems. Accurate prediction of favorable outcomes in severe TBI patients could assist with optimizing treatment procedures, predicting clinical outcomes, and result in substantial economic savings. METHODS: In this study, we examined the capability of a machine learning-based model in predicting "favorable" or "unfavorable" outcomes after 6 months in severe TBI patients using only parameters measured on admission. Three models were developed using logistic regression, random forest, and support vector machines trained on parameters recorded from 2,381 severe TBI patients admitted to the neuro-intensive care unit of Rajaee (Emtiaz) Hospital (Shiraz, Iran) between 2015 and 2017. Model performance was evaluated using three indices: sensitivity, specificity, and accuracy. A ten-fold cross-validation method was used to estimate these indices. RESULTS: Overall, the developed models showed excellent performance with the area under the curve around 0.81, sensitivity and specificity of around 0.78. The top-three factors important in predicting 6-month post-trauma survival status in TBI patients are "Glasgow coma scale motor response," "pupillary reactivity," and "age." CONCLUSIONS: Machine learning techniques might be used to predict the 6-month outcome in TBI patients using only the parameters measured on admission when the machine learning is trained using a large data set.

Traumatic injury to the axillary nerve associated with paralysis of triceps brachii: A case report.

Although many textbooks reported the innervation of three heads of the triceps muscle with the radial nerve, some studies showed the axillary nerve supply to this muscle. Herein, we report a 21-year-old male patients with a traumatic injury to the axillary nerve associated with paralysis of his triceps muscle. Based on the electrophysiological findings, it could be reasonable to conclude that the main branch innervating all heads of the triceps muscle originated from the axillary nerve. It is vital to look for concomitant paralysis of the triceps in patients with an axillary nerve injury in terms of surgical management, prognosis, and nerve repair.

The effect of Vitamins C and E on clinical outcomes of patients with severe traumatic brain injury: A propensity score matching study.

Background: The aim of this study was to assess the effect of Vitamins C and E on mortality, intensive care unit (ICU) length of stay, and Glasgow Outcome Scale-Extended (GOS-E) score of traumatic brain injury (TBI) patients. Methods: Using data from records of patients in a retrospective cohort study, we included 1321 TBI patients, 269 treated and 1052 untreated, aged over 18 years with information on exposure (i.e., Vitamins C and E) and confounders. Age, Glasgow Coma Scale, pupil status, Rotterdam classification, blood sugar, blood pressure, international normalized ratio, and comorbidity of patients were considered as the confounding factors. Endpoints were GOS-E on follow-up, mortality, and ICU length of stay. Propensity score matching was performed to adjust the confounders. Results: Based on the average treatment effect estimates, the use of Vitamins C and E reduced the risk of mortality (risk difference [RD]: -0.07; 95% confidence interval [CI]: -0.14--0.003) and reduced the length of ICU stay (RD -1.77 95% CI:-3.71-0.16). Furthermore, our results showed that GOS-E was improved significantly (RD: 0.09, 95% CI : 0.03-0.16). Conclusion: Our study suggests that using Vitamins C and E could decrease mortality and length of ICU stay and improve the GOS-E score and functions of the patients with severe TBI. As they are safe and inexpensive medications, they can be used in routine practice in ICUs to improve the outcomes of TBI patients.

Effects of adhesion barrier gel on functional outcomes of patients with lumbar disc herniation surgery; A systematic review and meta-analysis of clinical trials.

Failed Back Surgery Syndrome (FBSS) is persistent pain and disability following lumbar laminectomy which is associated with decreased quality of life and disability and has been reported in up to 40% of the patients undergoing lumbar laminectomy. Several approaches have been introduced to reduce the rate of the FBSS. Among these, applying anti-adhesive barrier gels have been studied with interest with controversial results. The aim of the current study was to determine the effects of anti-adhesive barrier gels on functional outcome and recurrence of patients undergoing lumbar disc surgery. We searched databases including EMBASE, PUBMED, Web of Science, Scopus, Cochrane Library, and scholar databases until November 2019. To assess the heterogeneity across included studies was used Cochran's Q and I-square (I2) statistics. Standardized mean difference (SMD) and 95% CI between were used to estimate pooled effect sizes. Out of 4507, 10 clinical trials found to be appropriate for current meta-analysis. The pooled results of included clinical trials indicated that adhesion barrier gel significantly decreased leg pain (LP) (SMD = -0.31; 95% CI, -0.60, -0.03; P = 0.032; I2: 59.2%) among patients with lumbar disc herniation surgery. Back pain (BP) (SMD = -0.03; 95% CI, -0.23, 0.16; P = 0.734; I2: 40.2%), and Oswestry disability index (ODI) (SMD = -0.11; 95% CI, -0.27, 0.05; P = 0.178; I2: 0.0%), were not significantly affected following adhesion barrier gel application. Application of adhesion barrier gel in single level lumbar disc surgery is associated with deceased leg pain. However, its application does not affect the low back pain, disability and gate. Further, larger randomized clinical trials are required.

Risk factors for post-traumatic epilepsy.

PURPOSE: The aim of the current study was to investigate the risk factors for post-traumatic epilepsy (PTE) in a large cohort of patients after severe non-penetrating civilian traumatic brain injury (TBI). METHODS: This was a longitudinal study. All patients with a severe non-penetrating TBI, who were admitted at the neuro-intensive care unit of Shahid Rajaee Trauma Hospital, affiliated with Shiraz University of Medical Sciences, Shiraz, Iran, from 2015 until 2019, were studied. Severe TBI was defined as a Glasgow Coma Scale-Motor score below six. Post-traumatic epilepsy was defined as any seizures that occurred after being discharged from the hospital. RESULTS: In total, 803 patients with severe non-penetrating TBI were studied; 82 patients (10.2%) reported any late post-traumatic seizures (PTSs). A higher Glasgow outcome scale (extended) at discharge was significantly inversely associated with PTE [Odds Ratio (OR)= 0.76, 95% Confidence Interval (CI): 0.65-0.87; p = 0.0001]. Depressed skull fracture (OR= 1.88, 95% CI: 0.92-3.80; p = 0.081), epi­dural hematoma (OR= 1.67, 95% CI: 0.93-2.97; p = 0.083), and sub-dural hematoma (OR= 1.64, 95% CI: 0.96-2.78; p = 0.068) were associated with PTE as trends. CONCLUSION: Our study adds to the literature on the risk of PTE after severe non-penetrating civilian TBI. Our large sample size and also the application of a logistic regression analysis model may suggest that other variables (e.g., depressed skull fracture and intracranial hematoma) are indeed associated with the Glasgow outcome scale (extended) at discharge and that is why they lost their significance in the model.

Beta-Blocker Therapy in Severe Traumatic Brain Injury: A Prospective Randomized Controlled Trial.

BACKGROUND: Observational studies have demonstrated improved outcomes in TBI patients receiving in-hospital beta-blockers. The aim of this study is to conduct a randomized controlled trial examining the effect of beta-blockers on outcomes in TBI patients. METHODS: Adult patients with severe TBI (intracranial AIS ≥ 3) were included in the study. Hemodynamically stable patients at 24 h after injury were randomized to receive either 20 mg propranolol orally every 12 h up to 10 days or until discharge (BB+) or no propranolol (BB-). Outcomes of interest were in-hospital mortality and Glasgow Outcome Scale-Extended (GOS-E) score on discharge and at 6-month follow-up. Subgroup analysis including only isolated severe TBI (intracranial AIS ≥ 3 with extracranial AIS ≤ 2) was carried out. Poisson regression models were used. RESULTS: Two hundred nineteen randomized patients of whom 45% received BB were analyzed. There were no significant demographic or clinical differences between BB+ and BB- cohorts. No significant difference in in-hospital mortality (adj. IRR 0.6 [95% CI 0.3-1.4], p = 0.2) or long-term functional outcome was measured between the cohorts (p = 0.3). One hundred fifty-four patients suffered isolated severe TBI of whom 44% received BB. The BB+ group had significantly lower mortality relative to the BB- group (18.6% vs. 4.4%, p = 0.012). On regression analysis, propranolol had a significant protective effect on in-hospital mortality (adj. IRR 0.32, p = 0.04) and functional outcome at 6-month follow-up (GOS-E ≥ 5 adj. IRR 1.2, p = 0.02). CONCLUSION: Propranolol decreases in-hospital mortality and improves long-term functional outcome in isolated severe TBI. This randomized trial speaks in favor of routine administration of beta-blocker therapy as part of a standardized neurointensive care protocol. LEVEL OF EVIDENCE: Level II; therapeutic. STUDY TYPE: Therapeutic study.

A Randomized Controlled Trial of Early versus Late Surgical Decompression for Thoracic and Thoracolumbar Spinal Cord Injury in 73 Patients.

Convincing clinical evidence exists to support early surgical decompression in the setting of cervical spinal cord injury (SCI). However, clinical evidence on the effect of early surgery in patients with thoracic and thoracolumbar (from T1 to L1 [T1-L1]) SCI is lacking and a critical knowledge gap remains. This randomized controlled trial (RCT) sought to evaluate the safety and efficacy of early (<24 h) compared with late (24-72 h) decompressive surgery after T1-L1 SCI. From 2010 to 2018, patients (≥16 years of age) with acute T1-L1 SCI presenting to a single trauma center were randomized to receive either early (<24 h) or late (24-72 h) surgical decompression. The primary outcome was an ordinal change in American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade at 12-month follow-up. Secondary outcomes included complications and change in ASIA motor score (AMS) at 12 months. Outcome assessors were blinded to treatment assignment. Of 73 individuals whose treatment followed the study protocol, 37 received early surgery and 36 underwent late surgery. The mean age was 29.74 ± 11.4 years. In the early group 45.9% of patients and in the late group 33.3% of patients had a ≥1-grade improvement in AIS (odds ratio [OR] 1.70, 95% confidence interval [CI]: 0.66-4.39, p = 0.271); significantly more patients in the early (24.3%) than late (5.6%) surgery group had a ≥2-grade improvement in AIS (OR 5.46, 95% CI: 1.09-27.38, p = 0.025). There was no statistically significant difference in the secondary outcome measures. Surgical decompression within 24 h of acute traumatic T1-L1 SCI is safe and is associated with improved neurological outcome, defined as at least a 2-grade improvement in AIS at 12 months.