High incidence of acute kidney injury among patients with major trauma at Mulago National Referral Hospital, Uganda: risk factors and overall survival.

Introduction: Acute kidney injury (AKI) is a common and life-threatening complication of major trauma. Recognition is often delayed and management is frequently sub-optimal. We determined the incidence, risk factors and immediate outcomes of AKI in patients with major trauma at Mulago National Referral Hospital. Methods: This was a prospective study. We recruited adult patients with ISS of > 16. The KDIGO criteria was used to stage AKI. Serum creatinine was measured at baseline, 24, 48, 72 hours and on discharge from the study. Participants were followed up for seven days if not yet discharged. Bivariate and multivariate analysis was done using modified Poisson regression with robust standard errors. Results: 224 patients were recruited. The incidence was 67/1000 persons per day. The risk factors were male sex, delayed presentation, hypoglycemia at admission, RR=1.62 (95%CI 1.24-2.12) and non-operative management RR=1.39 (95%CI 1.02-1.89). Out of the 62 patients that died, 34 (54.8%) had AKI. The overall mortality rate was 39.5 patients per thousand per day. Conclusion: There was a high incidence of AKI among patients with major trauma. Efforts to reduce morbidity and mortality should be prioritized.

Morbidity and mortality in elderly patients undergoing evacuation of acute traumatic subdural hematoma.

OBJECTIVE: Acute traumatic subdural hematoma (atSDH) can be a life-threatening neurosurgical emergency that necessitates immediate evacuation. The elderly population can be particularly vulnerable to tearing bridging veins. The aim of this study was to evaluate inpatient morbidity and mortality, as well as predictors of inpatient mortality, in a national trauma database. METHODS: The authors queried the 2016-2017 National Trauma Data Bank registry for patients aged 65 years and older who had undergone evacuation of atSDH. Patients were categorized into three age groups: 65-74, 75-84, and 85+ years. A multivariable logistic regression model was fitted for inpatient mortality adjusting for age group, sex, race, presenting Glasgow Coma Scale (GCS) category (3-8, 9-12, and 13-15), Injury Severity Score, presence of coagulopathy, presence of additional hemorrhages (epidural hematoma [EDH], intraparenchymal hematoma [IPH], and subarachnoid hemorrhage [SAH]), presence of midline shift > 5 mm, and pupillary reactivity (both, one, or none). RESULTS: A total of 2508 patients (35% females) were analyzed. Age distribution was as follows: 990 patients at 65-74 years, 1096 at 75-84, and 422 at 85+. Midline shift > 5 mm was present in 72% of cases. With regard to additional hemorrhages, SAH was present in 21%, IPH in 10%, and EDH in 2%. Bilaterally reactive pupils were noted in 90% of patients. A major complication was observed in 14.4% of patients, and the overall mortality rate was 18.3%. In the multivariable analysis, the presenting GCS category was found to be the strongest predictor of postoperative inpatient mortality (3-8 vs 13-15: OR 3.63, 95% CI 2.68-4.92, p < 0.001; 9-12 vs 13-15: OR 2.64, 95% CI 1.79-3.90, p < 0.001; 30% of overall variation), followed by the presence of SAH (OR 2.86, 95% CI 2.21-3.70, p < 0.001; 25% of overall variation) and the presence of midline shift > 5 mm (OR 2.40, 95% CI 1.74-3.32, p < 0.001; 11% of overall variation). Model discrimination was excellent (c-index 0.81). Broken down by age decile group, mortality increased from 8.0% to 15.4% for GCS 13-15 to around 36% for GCS 9-12 to almost as high as 60% for GCS 3-8, particularly in those aged 85 years and older. CONCLUSIONS: The present results from a national trauma database will, the authors hope, assist surgeons in preoperative discussions with patients and their families with regard to expected postoperative outcomes following surgical evacuation of an atSDH.

Transforming Research and Clinical Knowledge in Spinal Cord Injury (TRACK-SCI): an overview of initial enrollment and demographics.

OBJECTIVE: Traumatic spinal cord injury (SCI) is a dreaded condition that can lead to paralysis and severe disability. With few treatment options available for patients who have suffered from SCI, it is important to develop prospective databases to standardize data collection in order to develop new therapeutic approaches and guidelines. Here, the authors present an overview of their multicenter, prospective, observational patient registry, Transforming Research and Clinical Knowledge in SCI (TRACK-SCI). METHODS: Data were collected using the National Institute of Neurological Disorders and Stroke (NINDS) common data elements (CDEs). Highly granular clinical information, in addition to standardized imaging, biospecimen, and follow-up data, were included in the registry. Surgical approaches were determined by the surgeon treating each patient; however, they were carefully documented and compared within and across study sites. Follow-up visits were scheduled for 6 and 12 months after injury. RESULTS: One hundred sixty patients were enrolled in the TRACK-SCI study. In this overview, basic clinical, imaging, neurological severity, and follow-up data on these patients are presented. Overall, 78.8% of the patients were determined to be surgical candidates and underwent spinal decompression and/or stabilization. Follow-up rates to date at 6 and 12 months are 45% and 36.3%, respectively. Overall resources required for clinical research coordination are also discussed. CONCLUSIONS: The authors established the feasibility of SCI CDE implementation in a multicenter, prospective observational study. Through the application of standardized SCI CDEs and expansion of future multicenter collaborations, they hope to advance SCI research and improve treatment.

Traumatic vertebral artery injuries in the geriatric population: a retrospective cohort study.

OBJECTIVE: Traumatic vertebral artery injuries (TVAIs) are a common finding in cervical spine trauma and can predispose patients to posterior circulation infarction. While extensive research has been conducted regarding the management and criteria for imaging in patients with suspected blunt vascular injury, little research has been conducted highlighting these injuries in the geriatric population. METHODS: The authors performed a retrospective review of all patients evaluated at a level 1 trauma center and found to have TVAIs between January 1, 2010, and January 1, 2018. Biometric, clinical, and imaging data were obtained from a trauma registry database. Patients were divided into 2 groups on the basis of age, a geriatric group (age ≥ 65 years) and an adult group (age 18 to < 65 years). Variables evaluated included type of trauma, mortality, Injury Severity Score (ISS), and ICU length of stay. The Student t-test was used for continuous variables, and Pearson's chi-square test was used for categorical variables. RESULTS: Of the 2698 of patients identified with traumatic cervical spine injuries, 103 patients demonstrated evidence of TVAI. Of these patients, 69 were < 65 and 34 were ≥ 65 years old at the time of their trauma. There was no difference in the incidence of TVAIs between the 2 groups. The ICU length of stay (4.71 vs 4.32 days, p > 0.05), hospital length of stay (10.71 vs 10.72 days, p > 0.05), and the ISS (21.50 vs 21.32, p > 0.05) did not differ significantly between the 2 groups. Mortality was significantly higher in the geriatric group, occurring in 9 of 34 patients (26.5%) compared with only 3 of 69 patients (4.4%) in the adult group (p < 0.001). Ground-level falls were the most common inciting event in the geriatric group (44% vs 14.5%, p < 0.001), whereas motor vehicle accidents were the most common etiology in the younger population (72.5% vs 38.2%, p < 0.001). Incidence of ischemic stroke did not vary significantly between the 2 groups (p > 0.05). CONCLUSIONS: TVAI in the older adult population is associated with a significantly greater risk of mortality than in the younger adult population, despite the 2 groups having similar ISSs. Additionally, low-velocity mechanisms of injury, such as ground-level falls, are a greater risk factor for acquired TVAI in older adults than in younger adults, in whom it is a significantly less common etiology.

Volume-outcome relationship in pediatric neurotrauma care: analysis of two national databases.

OBJECTIVE: Previous research has demonstrated the association between increased hospital volume and improved outcomes for a wide range of neurosurgical conditions, including adult neurotrauma. The authors aimed to determine if such a relationship was also present in the care of pediatric neurotrauma patients. METHODS: The authors identified 106,146 pediatric admissions for traumatic intracranial hemorrhage (tICH) in the National Inpatient Sample (NIS) for the period 2002-2014 and 34,017 admissions in the National Trauma Data Bank (NTDB) for 2012-2015. Hospitals were stratified as high volume (top 20%) or low volume (bottom 80%) according to their pediatric tICH volume. Then the association between high-volume status and favorable discharge disposition, inpatient mortality, complications, and length of stay (LOS) was assessed. Multivariate regression modeling was used to control for patient demographics, severity metrics, hospital characteristics, and performance of neurosurgical procedures. RESULTS: In each database, high-volume hospitals treated over 60% of pediatric tICH admissions. In the NIS, patients at high-volume hospitals presented with worse severity metrics and more frequently underwent neurosurgical intervention over medical management (all p < 0.001). After multivariate adjustment, admission to a high-volume hospital was associated with increased odds of a favorable discharge (home or short-term facility) in both databases (both p < 0.001). However, there were no significant differences in inpatient mortality (p = 0.208). Moreover, high-volume hospital patients had lower total complications in the NIS and lower respiratory complications in both databases (all p < 0.001). Although patients at high-volume hospitals in the NTDB had longer hospital stays (ß-coefficient = 1.17, p < 0.001), they had shorter stays in the intensive care unit (ß-coefficient = 0.96, p = 0.024). To determine if these findings were attributable to the trauma center level rather than case volume, an analysis was conducted with only level I pediatric trauma centers (PTCs) in the NTDB. Similarly, treatment at a high-volume level I PTC was associated with increased odds of a favorable discharge (OR 1.28, p = 0.009), lower odds of pneumonia (OR 0.60, p = 0.007), and a shorter total LOS (ß-coefficient = 0.92, p = 0.024). CONCLUSIONS: Pediatric tICH patients admitted to high-volume hospitals exhibited better outcomes, particularly in terms of discharge disposition and complications, in two independent national databases. This trend persisted when examining level I PTCs exclusively, suggesting that volume alone may have an impact on pediatric neurotrauma outcomes. These findings highlight the potential merits of centralizing neurosurgery and pursuing regionalization policies, such as interfacility transport networks and destination protocols, to optimize the care of children affected by traumatic brain injury.

Association of cause of injury and traumatic axonal injury: a clinical MRI study of moderate and severe traumatic brain injury.

OBJECTIVE: The authors investigated the association between the cause of injury and the occurrence and grade of traumatic axonal injury (TAI) on clinical MRI in patients with moderate or severe traumatic brain injury (TBI). METHODS: Data for a total of 396 consecutive patients, aged 7-70 years, with moderate or severe TBI admitted to a level 1 trauma center were prospectively registered. Data were included for analysis from the 219 patients who had MRI performed within 35 days (median 8, IQR 4-17 days) and for whom cause of injury was known. Cause of injury was registered as road traffic accident (RTA) or fall (both with respective subcategories), alpine skiing or snowboarding accident, or violence. The MRI protocol consisted of T2*-weighted gradient echo, FLAIR, and diffusion-weighted imaging scans. TAI lesions were evaluated in a blinded manner and categorized into 3 grades, hemispheric/cerebellar white matter (grade 1), corpus callosum (grade 2), and brainstem (grade 3). The absence of TAI was analyzed as grade 0. Contusions and mass lesions on CT were also registered. RESULTS: Cause of injury did not differ between included and nonincluded patients. TAI was found in 83% of patients in the included group after RTAs and 62% after falls (p < 0.001). Observed TAI grades differed between the subcategories of both RTAs (p = 0.004) and falls (p = 0.006). Pedestrians in RTAs, car drivers/passengers in RTAs, and alpine skiers had the highest prevalence of TAI (89%-100%) and the highest TAI grades (70%-82% TAI grades 2-3). TAI was found in 76% of patients after falls from > own height (45% TAI grade 2-3), 63% after falls down the stairs (26% TAI grade 2-3), and 31% after falls from ≤ own height (12% TAI grade 2-3). Moreover, 53% of patients with TAI after RTAs and 68% with TAI after falls had cortical contusions or mass lesions on CT. CONCLUSIONS: This prospective study of moderate and severe TBI is to the authors' knowledge the first clinical MRI study to demonstrate both the high prevalence and grade of TAI after most of the different types of RTAs, alpine skiing accidents, and falls from a height. Importantly, TAI was also common following more low-energy trauma such as falls down the stairs or from own height. Physicians managing TBI patients in the acute phase should be aware of the possibility of TAI no matter the cause of injury and also when the CT scan shows cortical contusions or mass lesions.

Incidence of intraoperative hypotension in acute traumatic spinal cord injury and associated factors.

OBJECTIVE: The importance of maintaining mean arterial pressure (MAP) > 85 mm Hg for patients with acute spinal cord injury (SCI) is well documented, because systemic hypotension greatly increases the risk of secondary SCI. Current literature focuses on the ICU setting; however, there is a paucity of data describing the changes in MAP in the operating room (OR). In the present study, the authors investigated the incidence of intraoperative hypotension for patients with acute traumatic SCI as well as any associated factors that may have impacted these findings. METHODS: This retrospective study was performed at a level 1 trauma center from 2015 to 2016. All patients with American Spinal Injury Association (ASIA) score A-D acute traumatic SCIs from C1 to L1 were identified. Those included underwent spinal instrumentation and/or laminectomy decompression. Associated factors investigated include the following: age, body mass index, trauma mechanism of injury, Injury Severity Score, level of SCI, ASIA score, hospital day of surgery, total OR time, need for laminectomy decompression, use of spinal fixation, surgical positioning, blood loss, use of blood products, length of hospital stay, length of ICU stay, and discharge disposition. Intraoperative minute-by-minute MAP recordings were used to determine time spent in various MAP ranges. RESULTS: Thirty-two patients underwent a total of 33 operations. Relative to the total OR time, patients spent an average of 51.9% of their cumulative time with an MAP < 85 mm Hg. Furthermore, 100% of the study population recorded at least one MAP measurement < 85 mm Hg. These hypotensive episodes lasted a mean of 103 cumulative minutes per operative case. Analysis of associated factors demonstrated that fall mechanisms of injury led to a statistically significant increase in intraoperative hypotension compared to motor vehicle collisions/motorcycle collisions (p = 0.033). There were no significant differences in MAP recordings when analyzed according to all other associated factors studied. CONCLUSIONS: This is the first study reporting the incidence of intraoperative hypotension for patients with acute traumatic SCIs, and the results demonstrated higher proportions of relative hypotension than previously reported in the ICU setting. Furthermore, the authors identified that every patient experienced at least one MAP below the target value, which was much greater than the initial hypothesis of 50%. Given the findings of this study, adherence to the MAP protocol intraoperatively needs to be improved to minimize the risk of secondary SCI and associated deleterious neurological outcomes.

Pediatric firearm-related traumatic brain injury in United States trauma centers.

OBJECTIVE: Pediatric firearm injury is a leading cause of death and disability in the youth of the United States. The epidemiology of and outcomes following gunshot wounds to the head (GSWHs) are in need of systematic characterization. Here, the authors analyzed pediatric GSWHs from a population-based sample to identify predictors of prolonged hospitalization, morbidity, and death. METHODS: All patients younger than 18 years of age and diagnosed with a GSWH in the National Sample Program (NSP) of the National Trauma Data Bank (NTDB) in 2003-2012 were eligible for inclusion in this study. Variables of interest included injury intent, firearm type, site of incident, age, sex, race, health insurance, geographic region, trauma center level, isolated traumatic brain injury (TBI), hypotension in the emergency department, Glasgow Coma Scale (GCS) score, and Injury Severity Score (ISS). Risk predictors for a prolonged hospital stay, morbidity, and mortality were identified. Odds ratios, mean increases or decreases (B), and 95% confidence intervals were reported. Statistical significance was assessed at α < 0.001 accounting for multiple comparisons. RESULTS: In a weighted sample of 2847 pediatric patients with GSWHs, the mean age was 14.8 ± 3.3 years, 79.2% were male, and 59.0% had severe TBI (GCS score 3-8). The mechanism of assault (63.0%), the handgun as firearm (45.6%), and an injury incurred in a residential area (40.6%) were most common. The mean hospital length of stay was 11.6 ± 14.4 days for the survivors, for whom suicide injuries involved longer hospitalizations (B = 5.9-day increase, 95% CI 3.3-8.6, p < 0.001) relative to those for accidental injuries. Mortality was 45.1% overall but was greater with injury due to suicidal intent (mortality 71.5%, p < 0.001) or caused by a shotgun (mortality 56.5%, p < 0.001). Lower GCS scores, higher ISSs, and emergency room hypotension predicted poorer outcomes. Patients with private insurance had lower mortality odds than those with Medicare/Medicaid (OR 2.4, 95% CI 1.7-3.4, p < 0.001) or government insurance (OR 3.6, 95% CI 2.2-5.8, p < 0.001). Management at level II centers, compared to level I, was associated with lower odds of returning home (OR 0.3, 95% CI 0.2-0.5, p < 0.001). CONCLUSIONS: From 2003 to 2012, with regard to pediatric TBI hospitalizations due to GSWHs, their proportion remained stable, those caused by accidental injuries decreased, and those attributable to suicide increased. Overall mortality was 45%. Hypotension, cranial and overall injury severity, and suicidal intent were associated with poor prognoses. Patients treated at level II trauma centers had lower odds of being discharged home. Given the spectrum of risk factors that predispose children to GSWHs, emphasis on screening, parental education, and standardization of critical care management is needed to improve outcomes.

Decision tree analysis to better control treatment effects in spinal cord injury clinical research.

OBJECTIVE: The aim of this study was to use decision tree modeling to identify optimal stratification groups considering both the neurological impairment and spinal column injury and to investigate the change in motor score as an example of a practical application. Inherent heterogeneity in spinal cord injury (SCI) introduces variation in natural recovery, compromising the ability to identify true treatment effects in clinical research. Optimized stratification factors to create homogeneous groups of participants would improve accurate identification of true treatment effects. METHODS: The analysis cohort consisted of patients with acute traumatic SCI registered in the Vancouver Rick Hansen Spinal Cord Injury Registry (RHSCIR) between 2004 and 2014. Severity of neurological injury (American Spinal Injury Association Impairment Scale [AIS grades A-D]), level of injury (cervical, thoracic), and total motor score (TMS) were assessed using the International Standards for Neurological Classification of Spinal Cord Injury examination; morphological injury to the spinal column assessed using the AOSpine classification (AOSC types A-C, C most severe) and age were also included. Decision trees were used to determine the most homogeneous groupings of participants based on TMS at admission and discharge from in-hospital care. RESULTS: The analysis cohort included 806 participants; 79.3% were male, and the mean age was 46.7 ± 19.9 years. Distribution of severity of neurological injury at admission was AIS grade A in 40.0% of patients, grade B in 11.3%, grade C in 18.9%, and grade D in 29.9%. The level of injury was cervical in 68.7% of patients and thoracolumbar in 31.3%. An AOSC type A injury was found in 33.1% of patients, type B in 25.6%, and type C in 37.8%. Decision tree analysis identified 6 optimal stratification groups for assessing TMS: 1) AOSC type A or B, cervical injury, and age ≤ 32 years; 2) AOSC type A or B, cervical injury, and age > 32-53 years; 3) AOSC type A or B, cervical injury, and age > 53 years; 4) AOSC type A or B and thoracic injury; 5) AOSC type C and cervical injury; and 6) AOSC type C and thoracic injury. CONCLUSIONS: Appropriate stratification factors are fundamental to accurately identify treatment effects. Inclusion of AOSC type improves stratification, and use of the 6 stratification groups could minimize confounding effects of variable neurological recovery so that effective treatments can be identified.

Modeling the return to consciousness after severe traumatic brain injury at a large academic level 1 trauma center.

OBJECTIVE: Severe traumatic brain injury (sTBI) carries significant morbidity and mortality. It remains difficult to counsel families on functional prognosis and plan research initiatives aimed at treating traumatic coma. In order to better address these problems, the authors set out to develop statistical models using retrospective data to identify admission characteristics that correlate with time until the return of consciousness, defined as the time to follow commands (TFC). These results were then used to create a TFC score, allowing for rapid identification of patients with predicted prolonged TFC. METHODS: Data were reviewed and collected from medical records of sTBI patients with Glasgow Coma Scale (GCS) motor subscores ≤ 5 who were admitted to Stony Brook University Hospital from January 2011 to July 2018. Data were used to calculate descriptive statistics and build binary logistic regression models to identify admission characteristics that correlated with in-hospital mortality and in-hospital command-following. A Cox proportional hazards model was used to identify admission characteristics that correlated with the length of TFC. A TFC score was developed using the significant variables identified in the Cox regression model. RESULTS: There were 402 adult patients who met the inclusion criteria for this study. The average age was 50.5 years, and 122 (30.3%) patients were women. In-hospital mortality was associated with older age, higher Injury Severity Score (ISS), higher Rotterdam score (head CT grading system), and the presence of bilateral fixed and dilated pupils (p < 0.01). In-hospital command-following was anticorrelated with age, ISS, Rotterdam score, and the presence of a single fixed and dilated pupil (p < 0.05). TFC was anticorrelated with age, ISS, Rotterdam score, and the presence of a single fixed and dilated pupil. Additionally, patients who sustained injuries from falls from standing height had a shorter average TFC. The 3 significant variables from the Cox regression model that explained the most variance were used to create a 4-point TFC score. The most significant of these characteristics were Rotterdam head CT scores, high impact traumas, and the presence of a single fixed and dilated pupil. Importantly, the presence of a single fixed and dilated pupil was correlated with longer TFC but no increase in likelihood of in-hospital mortality. CONCLUSIONS: The creation of the 4-point TFC score will allow clinicians to quickly identify patients with predicted prolonged TFC and estimate the likelihood of command-following at different times after injury. Discussions with family members should take into account the likelihood that patients will return to consciousness and survive after TBI.

In-hospital mortality and length of hospital stay with craniotomy versus craniectomy for acute subdural hemorrhage: a multicenter, propensity score-matched analysis.

OBJECTIVE: The optimal surgical treatment for acute subdural hemorrhage (ASDH) remains controversial. The purpose of this study was to compare outcomes in patients who underwent craniotomy with those in patients who underwent decompressive craniectomy for the treatment of ASDH. METHODS: Using the Japan Trauma Data Bank, a nationwide trauma registry, the authors identified patients aged ≥ 18 years with ASDH who underwent surgical evacuation after blunt head trauma between 2004 and 2015. Logistic regression analysis was used to estimate a propensity score to predict decompressive craniectomy use. They then used propensity score-matched analysis to compare patients who underwent craniotomy with those who underwent decompressive craniectomy. To identify the potential benefits and disadvantages of decompressive craniectomy among different subgroups, they estimated the interactions between treatment and the subgroups using logistic regression analysis. RESULTS: Of 236,698 patients who were registered in the database, 1788 were eligible for propensity score-matched analysis. The final analysis included 514 patients who underwent craniotomy and 514 patients who underwent decompressive craniectomy. The in-hospital mortality did not differ significantly between the groups (41.6% for the craniotomy group vs 39.1% for the decompressive craniectomy group; absolute difference -2.5%; 95% CI -8.5% to 3.5%). The length of hospital stay was significantly longer in patients who underwent decompressive craniectomy (median 23 days [IQR 4-52 days] vs 30 days [IQR 7-60 days], p = 0.005). Subgroup analyses demonstrated qualitative interactions between decompressive craniectomy and the patient subgroups, suggesting that patients who were more severely injured (Glasgow Coma Scale score < 9 and probability of survival < 0.64) and those involved in high-energy injuries may be good candidates for decompressive craniectomy. CONCLUSIONS: The results of this study showed that overall, decompressive craniectomy did not appear to be superior to craniotomy in ASDH treatment in terms of in-hospital mortality. In contrast, there were significant differences in the effectiveness of decompressive craniectomy between the subgroups. Thus, future studies should prioritize the identification of a subset of patients who will possibly benefit from the performance of each of the procedures.

A case series of penetrating spinal trauma: comparisons to blunt trauma, surgical indications, and outcomes.

OBJECTIVEWhile blunt spinal trauma accounts for the majority of spine trauma, penetrating injuries affect a substantial number of patients. The goal of this study was to examine the epidemiology of penetrating spine injuries compared with blunt injuries and review the operative interventions and outcomes in the penetrating spine injury group.METHODSThe prospectively maintained trauma database was queried for spinal fractures from 2012 to 2018. Charts from patients with penetrating spine trauma were reviewed.RESULTSA total of 1130 patients were evaluated for traumatic spinal fractures; 154 injuries (13.6%) were secondary to penetrating injuries. Patients with penetrating injuries were significantly younger (29.2 years vs 44.1 years, p < 0.001), more likely male (87.7% vs 69.2%, p < 0.001), and more commonly African American (80.5% vs 33.3%, p < 0.05). When comparing primary insurers, the penetrating group had a significantly higher percentage of patients covered by Medicaid (60.4% vs 32.6%, p < 0.05) or prison (3.9% vs 0.1%, p < 0.05) or being uninsured (17.5% vs 10.3%, p < 0.05). The penetrating group had a higher Injury Severity Score on admission (20.2 vs 15.6, p < 0.001) and longer hospital length of stay (20.1 days vs 10.3 days, p < 0.001) and were less likely to be discharged home (51.3% vs 65.1%, p < 0.05). Of the penetrating injuries, 142 (92.2%) were due to firearms. Sixty-three patients (40.9%) with penetrating injuries had a concomitant spinal cord or cauda equina injury. Of those, 44 (69.8%) had an American Spinal Injury Association Impairment Scale (AIS) grade of A. Ten patients (15.9%) improved at least 1 AIS grade, while 2 patients (3.2%) declined at least 1 AIS grade. Nine patients with penetrating injuries underwent neurosurgical intervention: 5 for spinal instability, 4 for compressive lesions with declining neurological examination results, and 2 for infectious concerns, with some patients having multiple indications. Patients undergoing neurosurgical intervention did not show a significantly greater change in AIS grade than those who did not. No patient experienced a complication directly related to neurosurgical intervention.CONCLUSIONSPenetrating spinal trauma affects a younger, more publicly funded cohort than blunt spinal trauma. These patients utilize more healthcare resources and are more severely injured. Surgery is undertaken for limiting progression of neurological deficit, stabilization, or infection control.

Matching early arterial oxygenation to long-term outcome in severe traumatic brain injury: target values.

OBJECTIVE: The aim of this study was to examine the relationship between early arterial oxygenation thresholds and long-term outcome after severe traumatic brain injury (TBI). METHODS: In a post hoc analysis of a randomized trial, adults with severe TBI were classified based on exposure to different levels of arterial oxygenation as measured using the average of arterial partial pressure of oxygen (PaO2) values obtained within 24 hours of admission. Potentially important PaO2 thresholds were defined a priori. The primary outcome was Glasgow Outcome Scale-Extended (GOSE) score at 6 months. Secondary outcomes were cognitive outcomes measured using a battery of 9 neuropsychological tests administered at 6 months, and 6-month mortality. RESULTS: In adjusted analyses, oxygenation thresholds of 150 and 200 mm Hg were associated with better functional outcome at 6 months (adjusted OR for better functional outcome on GOSE 1.82 [95% CI 1.12-2.94] and 1.59 [95% CI 1.06-2.37], respectively) and improved cognitive outcome at 6 months (adjusted beta coefficients for better cognitive percentile across 9 neuropsychological tests: 6.9 [95% CI 1.3-12.5] and 6.8 [95% CI 2.4-11.3], respectively). There was no significant association between oxygenation level and 6-month mortality except at a PaO2 threshold of 200 mm Hg (OR for death 0.36, 95% CI 0.18-0.71). Higher or lower oxygenation thresholds were not associated with functional or cognitive outcome. CONCLUSIONS: In this observational study, the relationship between early arterial oxygenation and long-term functional and cognitive TBI outcomes appears to be U-shaped. Mild levels of hyperoxemia within the first 24 hours after injury were associated with better long-term functional and cognitive outcomes. These findings highlight the importance of examining balanced oxygen supplementation as a potential strategy to improve TBI outcomes in future research.

Predicting mortality in traumatic intracranial hemorrhage.

OBJECTIVE: Traumatic intracranial hemorrhage (tICH) is a significant source of morbidity and mortality in trauma patients. While prognostic models for tICH outcomes may assist in alerting clinicians to high-risk patients, previously developed models face limitations, including low accuracy, poor generalizability, and the use of more prognostic variables than is practical. This study aimed to construct a simpler and more accurate method of risk stratification for all tICH patients. METHODS: The authors retrospectively identified a consecutive series of 4110 patients admitted to their institution's level 1 trauma center between 2003 and 2013. For each admission, they collected the patient's sex, age, systolic blood pressure, blood alcohol concentration, antiplatelet/anticoagulant use, Glasgow Coma Scale (GCS) score, Injury Severity Score, presence of epidural hemorrhage, presence of subdural hemorrhage, presence of subarachnoid hemorrhage, and presence of intraparenchymal hemorrhage. The final study population comprised 3564 patients following exclusion of records with missing data. The dependent variable under study was patient death. A k-fold cross-validation was carried out with the best models selected via the Akaike Information Criterion. These models risk stratified the study partitions into grade I (< 1% predicted mortality), grade II (1%-10% predicted mortality), grade III (10%-40% predicted mortality), or grade IV (> 40% predicted mortality) tICH. Predicted mortalities were compared with actual mortalities within grades to assess calibration. Concordance was also evaluated. A final model was constructed using the entire data set. Subgroup analysis was conducted for each hemorrhage type. RESULTS: Cross-validation demonstrated good calibration (p < 0.001 for all grades) with a mean concordance of 0.881 (95% CI 0.865-0.898). In the authors' final model, older age, lower blood alcohol concentration, antiplatelet/anticoagulant use, lower GCS score, and higher Injury Severity Score were all associated with greater mortality. Subgroup analysis showed successful stratification for subarachnoid, intraparenchymal, grade II-IV subdural, and grade I epidural hemorrhages. CONCLUSIONS: The authors developed a risk stratification model for tICH of any GCS score with concordance comparable to prior models and excellent calibration. These findings are applicable to multiple hemorrhage subtypes and can assist in identifying low-risk patients for more efficient resource allocation, facilitate family conversations regarding goals of care, and stratify patients for research purposes. Future work will include testing of more variables, validation of this model across institutions, as well as creation of a simplified model whose outputs can be calculated mentally.

Third delay in traumatic brain injury: time to management as a predictor of mortality.

OBJECTIVE: Traumatic brain injury (TBI) is a global epidemic with an increasing incidence in low- and middle-income countries (LMICs). The time from arrival at the hospital to receiving appropriate treatment ("third delay") can vary widely in LMICs, although its association with mortality in TBI remains unknown. METHODS: A retrospective cohort analysis with multivariable logistic regression was conducted using the Toward Improved Trauma Care Outcomes in India database, which contains data from 4 urban trauma centers in India from 2013-2015. RESULTS: There were 6278 TBIs included in the cohort. The patients' median age was 39 years (interquartile range 27-52 years) and 80% of patients were male. The most frequent mechanisms of injury were road traffic accidents (52%) and falls (34%). A majority of cases were transfers from other facilities (79%). In-hospital 30-day mortality was 27%; of patients who died, 21% died within 24 hours of arrival. The median third delay was 10 minutes (interquartile range 0-60 minutes); 34% of cases had moderate third delay (10-60 minutes) and 22% had extended third delay (≥ 61 minutes). Overall 30-day mortality was associated with moderate third delay (OR 1.3, p = 0.001) and extended third delay (OR 1.3, p = 0.001) after adjustment by pertinent covariates. This effect was pronounced for 24-hour mortality: moderate and extended third delays were independently associated with ORs of 3.4 and 3.8, respectively, for 24-hour mortality (both p < 0.001). CONCLUSIONS: Third delay is associated with early mortality in patients with TBI, and represents a target for process improvement in urban trauma centers.

The effect of ICP monitoring in severe traumatic brain injury: a propensity score-weighted and adjusted regression approach.

OBJECTIVE: The use of intracranial pressure (ICP) monitoring has been postulated to be beneficial in patients with severe traumatic brain injury (TBI), although studies investigating this hypothesis have reported conflicting results. The objective of this study was to evaluate the effect of inserting an ICP monitor on survival in patients with severe TBI. METHODS: The Oslo University Hospital trauma registry was searched for the records of all patients admitted between January 1, 2002, and December 31, 2013, who fulfilled the Brain Trauma Foundation criteria for intracranial hypertension and who survived at least 24 hours after admission. The impact of ICP monitoring was investigated using both a logistic regression model and a multiple imputed, propensity score-weighted logistic regression analysis. RESULTS: The study involved 1327 patients, in which 757 patients had an ICP monitor implanted. The use of ICP monitors significantly increased in the study period (p < 0.01). The 30-day overall mortality was 24.3% (322 patients), divided into 35.1% (200 patients, 95% confidence interval [CI] 31.3%-39.1%) in the group without an ICP monitor and 16.1% (122 patients, 95% CI 13.6%-18.9%) in the group with an ICP monitor. The impact of ICP monitors on 30-day mortality was found to be beneficial both in the complete case analysis logistic regression model (odds ratio [OR] 0.23, 95% CI 0.16-0.33) and in the adjusted, aggregated, propensity score-weighted imputed data sets (OR 0.22, 95% CI 0.15-0.35; both p < 0.001). The sensitivity analysis indicated that the findings are robust to unmeasured confounders. CONCLUSIONS: The authors found that the use of an ICP monitor is significantly associated with improved survival in patients with severe head injury.

Two-year mortality and functional outcomes in combat-related penetrating brain injury: battlefield through rehabilitation.

OBJECTIVEThere are limited data concerning the long-term functional outcomes of patients with penetrating brain injury. Reports from civilian cohorts are small because of the high reported mortality rates (as high as 90%). Data from military populations suggest a better prognosis for penetrating brain injury, but previous reports are hampered by analyses that exclude the point of injury. The purpose of this study was to provide a description of the long-term functional outcomes of those who sustain a combat-related penetrating brain injury (from the initial point of injury to 24 months afterward).METHODSThis study is a retrospective review of cases of penetrating brain injury in patients who presented to the Role 3 Multinational Medical Unit at Kandahar Airfield, Afghanistan, from January 2010 to March 2013. The primary outcome of interest was Glasgow Outcome Scale (GOS) score at 6, 12, and 24 months from date of injury.RESULTSA total of 908 cases required neurosurgical consultation during the study period, and 80 of these cases involved US service members with penetrating brain injury. The mean admission Glasgow Coma Scale (GCS) score was 8.5 (SD 5.56), and the mean admission Injury Severity Score (ISS) was 26.6 (SD 10.2). The GOS score for the cohort trended toward improvement at each time point (3.6 at 6 months, 3.96 at 24 months, p > 0.05). In subgroup analysis, admission GCS score ≤ 5, gunshot wound as the injury mechanism, admission ISS ≥ 26, and brain herniation on admission CT head were all associated with worse GOS scores at all time points. Excluding those who died, functional improvement occurred regardless of admission GCS score (p < 0.05). The overall mortality rate for the cohort was 21%.CONCLUSIONSGood functional outcomes were achieved in this population of severe penetrating brain injury in those who survived their initial resuscitation. The mortality rate was lower than observed in civilian cohorts.

Association of time to craniectomy with survival in patients with severe combat-related brain injury.

OBJECTIVEIn combat and austere environments, evacuation to a location with neurosurgery capability is challenging. A planning target in terms of time to neurosurgery is paramount to inform prepositioning of neurosurgical and transport resources to support a population at risk. This study sought to examine the association of wait time to craniectomy with mortality in patients with severe combat-related brain injury who received decompressive craniectomy.METHODSPatients with combat-related brain injury sustained between 2005 and 2015 who underwent craniectomy at deployed surgical facilities were identified from the Department of Defense Trauma Registry and Joint Trauma System Role 2 Registry. Eligible patients survived transport to a hospital capable of diagnosing the need for craniectomy and performing surgery. Statistical analyses included unadjusted comparisons of postoperative mortality by elapsed time from injury to start of craniectomy, and Cox proportional hazards modeling adjusting for potential confounders. Time from injury to craniectomy was divided into quintiles, and explored in Cox models as a binary variable comparing early versus delayed craniectomy with cutoffs determined by the maximum value of each quintile (quintile 1 vs 2-5, quintiles 1-2 vs 3-5, etc.). Covariates included location of the facility at which the craniectomy was performed (limited-resource role 2 facility vs neurosurgically capable role 3 facility), use of head CT scan, US military status, age, head Abbreviated Injury Scale score, Injury Severity Score, and injury year. To reduce immortal time bias, time from injury to hospital arrival was included as a covariate, entry into the survival analysis cohort was defined as hospital arrival time, and early versus delayed craniectomy was modeled as a time-dependent covariate. Follow-up for survival ended at death, hospital discharge, or hospital day 16, whichever occurred first.RESULTSOf 486 patients identified as having undergone craniectomy, 213 (44%) had complete date/time values. Unadjusted postoperative mortality was 23% for quintile 1 (n = 43, time from injury to start of craniectomy 30-152 minutes); 7% for quintile 2 (n = 42, 154-210 minutes); 7% for quintile 3 (n = 43, 212-320 minutes); 19% for quintile 4 (n = 42, 325-639 minutes); and 14% for quintile 5 (n = 43, 665-3885 minutes). In Cox models adjusted for potential confounders and immortal time bias, postoperative mortality was significantly lower when time to craniectomy was within 5.33 hours of injury (quintiles 1-3) relative to longer delays (quintiles 4-5), with an adjusted hazard ratio of 0.28, 95% CI 0.10-0.76 (p = 0.012).CONCLUSIONSPostoperative mortality was significantly lower when craniectomy was initiated within 5.33 hours of injury. Further research to optimize craniectomy timing and mitigate delays is needed. Functional outcomes should also be evaluated.

Secondary overtriage of pediatric neurosurgical trauma at a Level I pediatric trauma center.

The authors looked at all of the pediatric patients with a head injury who were transferred from other hospitals to their own over 12 years and tried to identify factors that would allow patients to stay closer to home at their local hospitals and not be transferred. Many patients with isolated, nondisplaced skull fractures or negative CT imaging likely could have avoided transfer. While hospitals should be cautious, this may help families stay closer to home.

Temporal response profiles of serum ubiquitin C-terminal hydrolase-L1 and the 145-kDa alpha II-spectrin breakdown product after severe traumatic brain injury in children.

OBJECTIVE: Traumatic brain injury (TBI) is the leading cause of acquired disability among children. Brain injury biomarkers may serve as useful diagnostic and prognostic indicators for TBI. Levels of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and the 145-kDa alpha II-spectrin breakdown product (SBDP-145) correlate with outcome in adults after severe TBI. The authors conducted a pilot study of these biomarkers in children after severe TBI to inform future research exploring their utility in this population. METHODS: The levels of UCH-L1 and SBDP-145 were measured in serum, and UCH-L1 in CSF from pediatric patients after severe TBI over 5 days after injury. Both biomarkers were also measured in age-matched control serum and CSF. RESULTS: Adequate numbers of samples were obtained in serum, but not CSF, to assess biomarker temporal response profiles. Using patients with samples from all time points, UCH-L1 levels increased rapidly and transiently, peaking at 12 hours after injury. SBDP-145 levels showed a more gradual and sustained response, peaking at 48 hours. The median serum UCH-L1 concentration was greater in patients with TBI than in controls (median [IQR] = 361 [187, 1330] vs 147 [50, 241] pg/ml, respectively; p < 0.001). Receiver operating characteristic (ROC) analysis revealed an AUC of 0.77. Similarly, serum SBDP-145 was greater in children with TBI than in controls (median [IQR] = 172 [124, 257] vs 69 [40, 99] pg/ml, respectively; p < 0.001), with an ROC AUC of 0.85. When only time points of peak levels were used for ROC analysis, the discriminability of each serum biomarker increased (AUC for UCH-L1 at 12 hours = 1.0 and for SBDP-145 at 48 hours = 0.91). Serum and CSF UCH-L1 levels correlated well in patients with TBI (r = 0.70, p < 0.001). CONCLUSIONS: Findings from this exploratory study reveal robust increases of UCH-L1 and SBDP-145 in serum and UCH-L1 in CSF obtained from children after severe TBI. In addition, important temporal profile differences were found between these biomarkers that can help guide optimal time point selection for future investigations of their potential to characterize injury or predict outcomes after pediatric TBI.