Outcome and Refractory Factor of Intensive Treatment for Geriatric Traumatic Brain Injury: Analysis of 1165 Cases Registered in the Japan Neurotrauma Data Bank

Machine learning-based 28-day mortality prediction model for elderly neurocritically Ill patients

BACKGROUND

The growing population of elderly neurocritically ill patients highlights the need for effective prognosis prediction tools. This study aims to develop and validate machine learning (ML) models for predicting 28-day mortality in intensive care units (ICUs).

METHODS

Data were extracted from the Medical Information Mart for Intensive Care IV(MIMIC-IV) database, focusing on elderly neurocritical ill patients with ICU stays ≥ 24 h. The cohort was split into 70 % for training and 30 % for internal validation. We analyzed 58 variables, including demographics, vital signs, medications, lab results, comorbidities, and medical scores, using Lasso regression to identify predictors of 28-day mortality. Seven ML algorithms were evaluated, and the best model was validated with data from Guizhou Medical University Affiliated Hospital. A log-rank test was used to assess survival differences in Kaplan-Meier curves. Shapley Additive Explanations (SHAP) were used to interpret the best model, while subgroup analysis identified variations in model performance across different populations.

RESULTS

The study included 1,773 elderly neurocritically ill patients, with a 28-day mortality rate of 28.6 %. The Light Gradient Boosting Machine (LightGBM) outperformed other models, achieving an area under the curve (AUC) of 0.896 in internal validation and 0.812 in external validation. Kaplan-Meier analysis showed that higher LightGBM prediction scores correlated with lower survival probabilities. Key predictors identified through SHAP analysis included partial pressure of arterial carbon dioxide (PaCO2), Acute physiology and chronic health evaluation II (APACHE II), white blood cell count, age, and lactate. The LightGBM model demonstrated consistent performance across various subgroups.

CONCLUSIONS

The LightGBM model effectively predicts 28-day mortality risk in elderly neurocritically ill patients, aiding clinicians in management and resource allocation. Its reliable performance across diverse subgroups underscores its clinical utility.

Multiple trauma and shock vital signs as potential for improved outcome in patients with severe head trauma

Aim

To evaluate the prognostic factors in severe head trauma patients (Glasgow Coma Score (GCS) ≤ 8) with all trauma, including those with trunk injury as well as single severe head trauma (abbreviated injury scale (AIS) ≥ 3).

Methods

We included 152 consecutive patients with head trauma (AIS ≥ 3) and consciousness disorders (GCS ≤ 8) who were transported to our institute from January 2017 to October 2022. Data on the patients' background, vital signs at presentation, multiple trauma (AIS ≥ 3 in two or more locations), surgical intervention, and hematological findings were examined; a retrospective analysis was conducted with the modified Rankin Scale score after 3 months assigned as the primary outcome.

Results

The patients' mean age was 57.6 ± 23.4 years (0-89), 49 patients (32.2%) had multiple trauma, and 25 patients (16.4%) had accompanying shock vital signs. In the multivariate analysis of prognosis, age (p = 0.0007) and D-dimer levels (p = 0.0007) were independent poor prognostic factors. On the contrary, patients with multiple trauma (p = 0.027) and shock vital signs at presentation (p = 0.037) had a significantly better prognosis. In the non-shock group, 97.6% (41/42) of patients aged ≥50 years and with D-dimer level of 40 μg/mL or higher had a poor prognosis after 3 months.

Conclusion

Advanced age and high D-dimer levels are important independent associated factors in patients with severe consciousness disorder associated with head trauma; meanwhile, the prognosis is more favorable in patients whose consciousness disorders are associated with multiple trauma or circulatory failure, indicating that rapid improvement of circulatory failure may lead to better outcomes.

Mortality and discharge disposition among older adults with moderate to severe traumatic brain injury

PURPOSE

This study examined the research on older adults with a moderate to severe traumatic brain injury (TBI), with a focus on mortality and discharge disposition.

METHOD

Systematic searches were conducted in MEDLINE, CINAHL, EMBASE and PsycINFO for studies up to April 2022 in accordance with PRISMA guidelines.

RESULTS

64 studies, published from 1992 to 2022, met the inclusion criteria. Mortality was higher for older adults ≥60 years old than for their younger counterparts; with a dramatic increase for those ≥80 yr, with rates as high as 93 %. Similar findings were reported regarding mortality in intensive care, surgical mortality, and mortality post-hospital discharge; with an 80 % rate at 1-year post-discharge. Up to 68.4 % of older adults were discharged home; when compared to younger adults, those ≥65 years were less likely to be discharged home (50-51 %), compared to those <64 years (77 %). Older adults were also more likely to be discharged to long-term care (up to 31.6 %), skilled nursing facilities (up to 46.1 %), inpatient rehabilitation (up to 26.9 %), and palliative or hospice care (up to 58 %).

CONCLUSION

Given their vulnerability, optimizing outcomes for older adults with moderate-severe TBI across the healthcare continuum is critical.

Traumatic brain injury in elderly population: A global systematic review and meta-analysis of in-hospital mortality and risk factors among 2.22 million individuals

BACKGROUND

Traumatic brain injury (TBI) among elderly individuals poses a significant global health concern due to the increasing ageing population.

METHODS

We searched PubMed, Cochrane Library, and Embase from database inception to Feb 1, 2024. Studies performed in inpatient settings reporting in-hospital mortality of elderly people (≥60 years) with TBI and/or identifying risk factors predictive of such outcomes, were included. Data were extracted from published reports, in-hospital mortality as our main outcome was synthesized in the form of rates, and risk factors predicting in-hospital mortality was synthesized in the form of odds ratios. Subgroup analyses, meta-regression and dose-response meta-analysis were used in our analyses.

FINDINGS

We included 105 studies covering 2217,964 patients from 30 countries/regions. The overall in-hospital mortality of elderly patients with TBI was 16 % (95 % CI 15 %-17 %) from 70 studies. In-hospital mortality was 5 % (95 % CI, 3 %-7 %), 18 % (95 % CI, 12 %-24 %), 65 % (95 % CI, 59 %-70 %) for mild, moderate and severe subgroups from 10, 7, and 23 studies, respectively. A decrease in in-hospital mortality over years was observed in overall (1981-2022) and in severe (1986-2022) elderly patients with TBI. Older age 1.69 (95 % CI, 1.58-1.82, P < 0.001), male gender 1.34 (95 % CI, 1.25-1.42, P < 0.001), clinical conditions including traffic-related cause of injury 1.22 (95 % CI, 1.02-1.45, P = 0.029), GCS moderate (GCS 9-12 compared to GCS 13-15) 4.33 (95 % CI, 3.13-5.99, P < 0.001), GCS severe (GCS 3-8 compared to GCS 13-15) 23.09 (95 % CI, 13.80-38.63, P < 0.001), abnormal pupillary light reflex 3.22 (95 % CI, 2.09-4.96, P < 0.001), hypotension after injury 2.88 (95 % CI, 1.06-7.81, P = 0.038), polytrauma 2.31 (95 % CI, 2.03-2.62, P < 0.001), surgical intervention 2.21 (95 % CI, 1.22-4.01, P = 0.009), pre-injury health conditions including pre-injury comorbidity 1.52 (95 % CI, 1.24-1.86, P = 0.0020), and pre-injury anti-thrombotic therapy 1.51 (95 % CI, 1.23-1.84, P < 0.001) were related to higher in-hospital mortality in elderly patients with TBI. Subgroup analyses according to multiple types of anti-thrombotic drugs with at least two included studies showed that anticoagulant therapy 1.70 (95 % CI, 1.04-2.76, P = 0.032), Warfarin 2.26 (95 % CI, 2.05-2.51, P < 0.001), DOACs 1.99 (95 % CI, 1.43-2.76, P < 0.001) were related to elevated mortality. Dose-response meta-analysis of age found an odds ratio of 1.029 (95 % CI, 1.024-1.034, P < 0.001) for every 1-year increase in age on in-hospital mortality.

CONCLUSIONS

In the field of elderly patients with TBI, the overall in-hospital mortality and its temporal-spatial feature, the subgroup in-hospital mortalities according to injury severity, and dose-response meta-analysis of age were firstly comprehensively summarized. Substantial key risk factors, including the ones previously not elucidated, were identified. Our study is thus of help in underlining the importance of treating elderly TBI, providing useful information for healthcare providers, and initiating future management guidelines. This work underscores the necessity of integrating elderly TBI treatment and management into broader health strategies to address the challenges posed by the aging global population.

REVIEW REGISTRATION

PROSPERO CRD42022323231.

Perfusion tomography in early follow-up of acute traumatic subdural hematoma: a case series

Perfusion Computed Tomography (PCT) is an alternative tool to assess cerebral hemodynamics during trauma. As acute traumatic subdural hematomas (ASH) is a severe primary injury associated with poor outcomes, the aim of this study was to evaluate the cerebral hemodynamics in this context. Five adult patients with moderate and severe traumatic brain injury (TBI) and ASH were included. All individuals were indicated for surgical evacuation. Before and after surgery, PCT was performed and cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) were evaluated. These parameters were associated with the outcome at 6 months post-trauma with the extended Glasgow Outcome Scale (GOSE). Mean age of population was 46 years (SD: 8.1). Mean post-resuscitation Glasgow coma scale (GCS) was 10 (SD: 3.4). Mean preoperative midline brain shift was 10.1 mm (SD: 1.8). Preoperative CBF and MTT were 23.9 ml/100 g/min (SD: 6.1) and 7.3 s (1.3) respectively. After surgery, CBF increase to 30.7 ml/100 g/min (SD: 5.1), and MTT decrease to 5.8s (SD:1.0), however, both changes don't achieve statistically significance (p = 0.06). Additionally, CBV increase after surgery, from 2.34 (SD: 0.67) to 2.63 ml/100 g (SD: 1.10), (p = 0.31). Spearman correlation test of postoperative and preoperative CBF ratio with outcome at 6 months was 0.94 (p = 0.054). One patient died with the highest preoperative MTT (9.97 s) and CBV (4.51 ml/100 g). CBF seems to increase after surgery, especially when evaluated together with the MTT values. It is suggested that the improvement in postoperative brain hemodynamics correlates to favorable outcome.

Trends in mortality rates and correlations between intracranial injuries and external causes: A Japanese population study

The age-standardized incidence of head trauma in 2016 was 369 per 100,000 people worldwide. The Western Pacific region, including Japan, had the highest incidence. This study aimed to extract ICD-10 code data for intracranial injury (S06) and external causes of morbidity and mortality (V01-Y89), analyze their characteristics and interrelationships, and contribute to these diseases' prevention, treatment, and prognosis. The number of deaths according to injury type and external cause type of intracranial injury published by the Japanese government was statistically analyzed using JoinPoint, and univariate distribution and multivariate correlation were conducted using JMP Software. From 1999-2021, there was a downward trend in the number of deaths because of intracranial injuries: mortality from intracranial injuries was higher among those aged ≥65 years. Conversely, mortality from intracranial injuries was lower among those aged ≤14 years. Among deaths from intracranial injury, mortality from diffuse brain injury and traumatic subdural hemorrhage was more common. Among deaths from external causes of intracranial injury, mortality from falls, transport accidents, and other unforeseen accidents was more common. Mortality because of intracranial injuries increased significantly during the 2011 Great East Japan Earthquake. For some age groups and sexes, there were significant inverse correlations of mortality with traumatic subdural hemorrhage and traumatic subarachnoid hemorrhage for transport accidents, intentional self-harm and assault, and diffuse brain injury and focal brain injury for falls. We believe that the data presented in this study will be useful for preventing and treating intracranial injuries and for developing administrative measures to reduce intracranial injuries.

Derivation of Coagulation Phenotypes and the Association with Prognosis in Traumatic Brain Injury: A Cluster Analysis of Nationwide Multicenter Study

BACKGROUND

The pathogenesis and pathophysiology of traumatic coagulopathy during traumatic brain injury is not well understood, and the appropriate treatment strategy for this condition has not been established. This study aimed to evaluate the coagulation phenotypes and their effect on prognosis in patients with isolated traumatic brain injury.

METHODS

In this multicenter cohort study, we retrospectively analyzed data from the Japan Neurotrauma Data Bank. Adults with isolated traumatic brain injury (head abbreviated injury scale > 2; abbreviated injury scale of any other trauma < 3) who were registered in the Japan Neurotrauma Data Bank were included in this study. The primary outcome was the association of coagulation phenotypes with in-hospital mortality. Coagulation phenotypes were derived using k-means clustering with coagulation markers, including prothrombin time international normalized ratio (PT-INR), activated partial thromboplastin time (APTT), fibrinogen (FBG), and D-dimer (DD) on arrival at the hospital. Multivariable logistic regression analyses were conducted to calculate the adjusted odds ratios of coagulation phenotypes with their 95% confidence intervals (CIs) for in-hospital mortality.

RESULTS

In total, 556 patients were enrolled and five coagulation phenotypes were identified. The median (interquartile range) score for the Glasgow Coma Scale was 6 (4-9). Cluster A (n = 129) had the closest to normal coagulation values; cluster B (n = 323) had a mild high DD phenotype; cluster C (n = 30) had a prolonged PT-INR phenotype with a higher frequency of antithrombotic medication in elderly patients than in younger patients; cluster D (n = 45) had a low amount of FBG, high DD, and prolonged APTT phenotype with a high incidence of skull fracture; and cluster E (n = 29) had a low amount of FBG and extremely high DD phenotype with high energy trauma and a high incidence of skull fracture. In the multivariable logistic regression analysis, the association of clusters B, C, D, and E with in-hospital mortality yielded the corresponding adjusted odds ratios of 2.17 (95% CI 1.22-3.86), 2.61 (95% CI 1.01-6.72), 10.0 (95% CI 4.00-25.2), and 24.1 (95% CI 7.12-81.3), respectively, relative to cluster A.

CONCLUSIONS

This multicenter, observational study identified five different coagulation phenotypes of traumatic brain injury and showed associations of these phenotypes with in-hospital mortality.

Prediction of Mortality in Geriatric Traumatic Brain Injury Patients Using Machine Learning Algorithms

Background: The number of geriatric traumatic brain injury (TBI) patients is increasing every year due to the population’s aging in most of the developed countries. Unfortunately, there is no widely recognized tool for specifically evaluating the prognosis of geriatric TBI patients. We designed this study to compare the prognostic value of different machine learning algorithm-based predictive models for geriatric TBI. Methods: TBI patients aged ≥65 from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were eligible for this study. To develop and validate machine learning algorithm-based prognostic models, included patients were divided into a training set and a testing set, with a ratio of 7:3. The predictive value of different machine learning based models was evaluated by calculating the area under the receiver operating characteristic curve, sensitivity, specificity, accuracy and F score. Results: A total of 1123 geriatric TBI patients were included, with a mortality of 24.8%. Non-survivors had higher age (82.2 vs. 80.7, p = 0.010) and lower Glasgow Coma Scale (14 vs. 7, p < 0.001) than survivors. The rate of mechanical ventilation was significantly higher (67.6% vs. 25.9%, p < 0.001) in non-survivors while the rate of neurosurgical operation did not differ between survivors and non-survivors (24.3% vs. 23.0%, p = 0.735). Among different machine learning algorithms, Adaboost (AUC: 0.799) and Random Forest (AUC: 0.795) performed slightly better than the logistic regression (AUC: 0.792) on predicting mortality in geriatric TBI patients in the testing set. Conclusion: Adaboost, Random Forest and logistic regression all performed well in predicting mortality of geriatric TBI patients. Prognostication tools utilizing these algorithms are helpful for physicians to evaluate the risk of poor outcomes in geriatric TBI patients and adopt personalized therapeutic options for them.

Fact-Finding Survey of Treatment of Traumatic Brain Injury in Japan: Standardization of Care and Collaboration Between Neurosurgery and Emergency Departments

BACKGROUND

Standardization of seamless treatment from prehospital injury care to initial injury and specialized care through collaboration among departments have been promoted in Japan since 2000. This survey was conducted to examine the current status of the system for treatment of traumatic brain injury (TBI) in Japan.

METHODS

In February 2022, questionnaires on the treatment system and TBI care were sent to 869 facilities that participated in a training program held by the Japan Neurosurgical Society. Responses were received from 480 facilities (55.2%). These responses were compared with those in a similar survey performed in 2008.

RESULTS

Among the responding facilities, 39.4% had neurosurgeons in emergency departments. Initial care for TBI was the responsibility of the neurosurgery department in 42.3% of the facilities, the emergency department in 26.0%, and jointly between these departments in 29.6%; and neurocritical care was managed by the neurosurgery department in 81.9%, the emergency department in 5.2%, and jointly in 12.1%. For patients with acute-phase TBI, intracranial pressure monitoring was performed in 72.1%. Active normothermia was performed in 86.0%, and decompressive craniectomy in 99.4%, as required. There was compliance with guidelines for treatment and management of TBI in 93.3%.

CONCLUSIONS

Comparison with the 2008 results suggested role-sharing between 2 departments in TBI treatment is increasing. TBI treatment compliance with the guidelines was high. In-hospital mortality of Japanese patients with TBI has decreased since 2000. This may be due to the progress with standardization of TBI treatment and collaboration among departments in compliance with guidelines.

Geriatric Neurosurgery in High-Income Developing Countries: A Sultanate of Oman Experience

This study aimed to investigate the prevalence and characteristics of geriatric neurosurgical conditions in the Neurosurgical Department at Khoula Hospital (KH), Muscat, Sultanate of Oman. The majority of various neurosurgical conditions is increasing in elderly patients, which leads to an increase in neurosurgical demand. The aging population has a direct effect on hospital decision-making in neurosurgery. However, limited data are available to assess geriatric neurosurgery in developing countries. A retrospective chart review of geriatric cases admitted to the Neurosurgery Department in KH served as our example of a neurosurgical center in a high-income developing country from January 2016 to 31st December 2019. Patients’ demographics, risk factors, diagnosis, Glasgow Coma Scale on arrival, treatment types, and length of stay were recorded. A total of 669 patients who were above the age of 65 years were recruited into our retrospective review. The mean age was 73.34 years in the overall cohort and the male-to-female ratio was (1.6:1). The most common diagnostic category was trauma, which accounted for 35.4% followed by oncology and vascular (16.3% each). Hydrocephalus accounted for 3.7% of the admissions. Most of the patients underwent surgical interventions (73.1%). The associations were significant between the treatment types (surgical vs. conservative), Length of Stay, and the GCS on arrival (p < 0.05). In conclusion, the trend of geriatric neurosurgery is increasing in developing countries. The most common reason for admission to the neurosurgical ward was Traumatic Brain Injury. Special care must be taken when dealing with geriatric neurosurgical cases and a more holistic approach is needed.

Prevalence and Outcomes of Geriatric Traumatic Brain Injury in Developing Countries: A Retrospective Study

Introduction The world populace is aging and it is anticipated that 2 billion people will be older than 60 years by 2050. Traumatic brain injury (TBI) is a major cause of death and disability worldwide. In the United States, 2.8 million people pursue medical attention yearly. TBI exemplifies a leading cause of mortality and morbidity among the geriatric age group worldwide.

Methods A retrospective study of geriatric cases who were admitted to the Neurosurgery Department in Khoula Hospital from January 1, 2016, to December 31, 2019, was conducted. Patients' demographics, risk factors, neuro-vital sign, diagnosis, Glasgow coma scale (GCS) on arrival, treatment types, and length of stay (LOS) were recorded.

Results Two hundred and thirty-four patients were admitted due to TBI in four years period. Seventy-five percent of the study cohort were more than 75 years old. Male to female ratio was 2.4:1. Subdural hematoma (SDH) was the most common TBI diagnosis based on computed tomography (77.4%). Most of the patients were having GCS scores of 14 to 15 (67.9%). Sixteen percent of the patients received antiepileptic medications. The majority of the patients underwent surgical intervention (70.5%). Eighty percent of the patients stayed in the hospital for less than 15 days. There was a significant difference between the LOS and type of surgery. Subarachnoid hemorrhage was found to have the highest mean age (79.7 years). Intracerebral hemorrhage patients had the longest LOS in the hospital with a mean of 44.2 days. There was no significant difference between the age of patients and type of surgery.

Conclusion The number of TBI in the elderly population is increasing annually. The most common type of TBI in our cohort was SDH and most of the patients were treated with burr hole surgery.

Changes in Outcomes after Discharge from an Acute Hospital in Severe Traumatic Brain Injury

Neurological improvement occurs from the subacute to chronic phases in severe traumatic brain injury. We analyzed factors associated with improved neurological findings in the subacute phase, using data from the Japan Neurotrauma Data Bank (JNTDB). The subjects were 1345 patients registered in the JNTDB (Project 2015). Clinical improvement was evaluated by comparing the Glasgow Outcome Scale (GOS) at discharge and 6 months after injury. Of these patients, 157 with severe disability (SD) on the discharge GOS were examined to evaluate factors associated with neurological improvement in the subacute phase. Cases were defined as those with (group I) and without (group N) improvement: a change from SD at discharge to good recovery (GR) or moderate disability (MD) at 6 months after injury. Patient background, admission findings, treatment, and discharge destination were examined. In all patients, the favorable outcome (GR, MD) rate improved from 30.2% at discharge to 35.7% at 6 months after injury. Of SD cases at discharge, 44.6% had a favorable outcome at 6 months (group I). Patients in group I were significantly younger, and had a significantly lower D-dimer level in initial blood tests and a lower incidence of convulsions. In multivariate analysis, discharge to home was a significant factor associated with an improved outcome. Many SD cases at discharge ultimately showed neurological improvement, and the initial D-dimer level may be a predictor of such improvement. The environment after discharge from an acute care hospital may also contribute to an improved long-term prognosis.

Hospital-level intracranial pressure monitoring utilization and functional outcome in severe traumatic brain injury: a post hoc analysis of prospective multicenter observational study

Background

Several observational studies have shown that hospital-level intracranial pressure (ICP) monitoring utilization varies considerably in patients with severe traumatic brain injury (TBI). However, the relationship between hospital-level ICP monitoring utilization and clinical functional outcomes is unknown. This study examined whether patients with severe TBI treated at hospitals with high ICP monitoring utilization have better functional outcomes.

Methods

A post hoc analysis of the data from a prospective multicenter cohort study in Japan was undertaken, and included severe TBI patients (Glasgow Come Scale score ≤ 8). The primary exposure was hospital-level ICP monitoring utilization. Patients treated at hospitals with more than 80% ICP monitoring utilization were assigned to a high group and the others to a low group. The primary endpoint was a favorable functional outcome at 6 months after injury, defined as a Glasgow Outcome Scale score of good recovery or moderate disability. We conducted multiple logistic regression analyses adjusted for potential confounders.

Results

Of the 427 included patients, 60 were assigned to the high group and 367 to the low group. Multiple logistic regression analysis revealed that patients in the high group had significantly better functional outcome (adjusted odds ratio [OR]: 2.36; 95% confidence interval [CI]: 1.17–4.76; p = 0.016). Multiple logistic regression analysis adjusted for additional confounders supported this result (adjusted OR: 2.30; 95% CI: 1.07–4.92; p = 0.033).

Conclusion

Treatment at hospitals with high ICP monitoring utilization for severe TBI patients could be associated with better functional outcome.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13049-020-00825-7.

Efficacy and safety of tranexamic acid administration in traumatic brain injury patients: a systematic review and meta-analysis

Background

The exacerbation of intracranial bleeding is critical in traumatic brain injury (TBI) patients. Tranexamic acid (TXA) has been used to improve outcomes in TBI patient. However, the effectiveness of TXA treatment remains unclear. This study aimed to assess the effect of administration of TXA on clinical outcomes in patients with TBI by systematically reviewing the literature and synthesizing evidence of randomized controlled trials (RCTs).

Methods

MEDLINE, the Cochrane Central Register of Controlled Trials, and Igaku Chuo Zasshi (ICHUSHI) Web were searched. Selection criteria included randomized controlled trials with clinical outcomes of adult TBI patients administered TXA or placebo within 24 h after admission. Two investigators independently screened citations and conducted data extraction. The primary “critical” outcome was all-cause mortality. The secondary “important” outcomes were good neurological outcome rates, enlargement of bleeding, incidence of ischemia, and hemorrhagic intracranial complications. Random effect estimators with weights calculated by the inverse variance method were used to report risk ratios (RRs).

Results

A total of 640 records were screened. Seven studies were included for quantitative analysis. Of 10,044 patients from seven of the included studies, 5076 were randomly assigned to the TXA treatment group, and 4968 were assigned to placebo. In the TXA treatment group, 914 patients (18.0%) died, while 961 patients (19.3%) died in the placebo group. There was no significant difference between groups (RR, 0.93; 95% confidence interval, 0.86–1.01). No significant differences between the groups in other important outcomes were also observed.

Conclusions

TXA treatment demonstrated a tendency to reduce head trauma-related deaths in the TBI population, with no significant incidence of thromboembolic events. TXA treatment may therefore be suggested in the initial TBI care.

Short- and Long-Term Geriatric Mortality After Acute Traumatic Subdural Hemorrhage

BACKGROUND

Acute subdural hemorrhage often occurs in those ≥65 years of age after trauma and tends to yield poor clinical outcomes. Previous studies have demonstrated a propensity toward high in-hospital mortality rates in this population; however, postdischarge mortality data are limited. The objective of the present study was to analyze short- and long-term mortality data after acute traumatic subdural hemorrhage in the geriatric population as well as review the impact of associated clinical variables including mechanism of injury, pre-morbid antithrombotic use, and need for surgical decompression on mortality rates.

METHODS

We retrospectively reviewed 455 patients who presented with an isolated traumatic acute subdural hemorrhage to our level-1 trauma center over a 5 year period using our data registry. Patients were then cross-referenced in the National Social Security Death Index for postdischarge mortality rates. United States life tables were used for peer-controlled actuarial comparisons.

RESULTS

Acute traumatic subdural hemorrhage is often a fatal injury in the geriatric population, especially if taking antithrombotics or requiring surgical decompression. Specifically, they have greater in-hospital mortality rates than adults with similar injuries and have significantly lower survival rates for several years following discharge compared with their peer-matched controls.

CONCLUSIONS

Here, we found that age is a significant predictor of both short- and long-term survival after acute traumatic subdural hemorrhage. Moreover, the present study corroborates that the need for surgical decompression or the use of pre-morbid antithrombotic medications is associated with increased overall mortality.

Intracranial pressure management and neurological outcome for patients with mild traumatic brain injury who required neurosurgical intervention: a Japanese database study

Purpose: Among mild traumatic brain injuries (mTBI; a Glasgow Coma Scale score ≥13 on arrival), few result in severe neurological deficit, especially when they needed neurosurgical intervention. We investigated the association of intracranial pressure (ICP) control management with neurological outcome in patients with mTBI who needed neurosurgical intervention. Methods: From 1,092 records of the Japan Neurotrauma Data Bank during 2009-2011, we retrospectively identified 195 patients with neurosurgical intervention for mTBI. Using the Glasgow Outcome Scale, we grouped records into two: favorable and poor outcome. We analyzed neurological outcomes using a logistic regression analysis adjusted for ICP control managements. Results: Seventy patients had a poor outcome. Logistic regression analysis revealed that sedatives, hyperosmotic agents, and hyperventilation therapy were significantly associated with poor outcome (odds ratio [OR]: 2.36, 95% confidence interval [CI]: 1.31-4.26; OR: 2.81, 95% CI: 1.17-6.75; OR: 9.36, 95% CI: 1.81-48.35). However, temperature management was significantly related with favorable outcome (OR: 0.26, 95% CI: 0.10-0.66). Conclusions: Our study, using a Japanese multicenter brain trauma registry, suggested that requirement of sedatives, hyperosmotic agents, and hyperventilation is associated with poor neurological outcome for patients with mTBI who underwent neurosurgical intervention, although temperature management was associated with favorable neurological outcome.

Risk of Deterioration of Geriatric Traumatic Brain Injury in Patients Treated with Antithrombotic Drugs

OBJECTIVE

Developed countries have rapidly aging populations and the use of antithrombotic drugs is increasing. We investigated the effects of antithrombotic drugs and reversal of these drugs in patients with geriatric traumatic brain injury (TBI).

METHODS

Age, sex, mechanism of injury, Glasgow Coma Scale on admission, head computed tomography findings, antithrombotic therapy, acute exacerbation, and outcomes at discharge were examined in 711 patients with geriatric TBI, complicated with traumatic intracranial hemorrhage using data from the Japan Neurotrauma Data Bank Project 2015 (JNTDB P2015). These items were compared between patients who did and did not receive antithrombotic therapy. We also conducted a questionnaire survey of reversal of antithrombotic therapy at hospitals participating in the JNTDB P2015. Acute exacerbation was compared in hospitals that did and did not regularly use reversal of this therapy.

RESULTS

The major cause of injury was a fall. In head computed tomography, acute subdural hematoma was found in 65.7% of the subjects. Antithrombotic therapy was performed in 30.4% of subjects, and these subjects were significantly older than those who did not receive this therapy; many had a fall as the mechanism of injury, and the level of consciousness was significantly exacerbated with this therapy. In hospitals that performed regular reversal, late exacerbation of the level of consciousness was suppressed.

CONCLUSIONS

Patients with geriatric TBI who are given antithrombotic drugs have a risk for late exacerbation, even if initially diagnosed with mild TBI. Therefore, there is a possibility that reversal of antithrombotic drugs is important to suppress the risk of deterioration of patients with TBI.

Feasibility of Human Neural Stem Cell Transplantation for the Treatment of Acute Subdural Hematoma in a Rat Model: A Pilot Study

Human neural stem cells (hNSCs) transplantation in several brain injury models has established their therapeutic potential. However, the feasibility of hNSCs transplantation is still not clear for acute subdural hematoma (ASDH) brain injury that needs external decompression. Thus, the aim of this pilot study was to test feasibility using a rat ASDH decompression model with two clinically relevant transplantation methods. Two different methods, in situ stereotactic injection and hNSC-embedded matrix seating on the brain surface, were attempted. Athymic rats were randomized to uninjured or ASDH groups (F344/NJcl-rnu/rnu, n = 7-10/group). Animals in injury group were subjected to ASDH, and received decompressive craniectomy and 1-week after decompression surgery were transplanted with green fluorescent protein (GFP)-transduced hNSCs using one of two approaches. Histopathological examinations at 4 and 8 weeks showed that the GFP-positive hNSCs survived in injured brain tissue, extended neurite-like projections resembling neural dendrites. The in situ transplantation group had greater engraftment of hNSCs than matrix embedding approach. Immunohistochemistry with doublecortin, NeuN, and GFAP at 8 weeks after transplantation showed that transplanted hNSCs remained as immature neurons and did not differentiate toward to glial cell lines. Motor function was assessed with rotarod, compared to control group (n = 10). The latency to fall from the rotarod in hNSC in situ transplanted rats was significantly higher than in control rats (median, 113 s in hNSC vs. 69 s in control, P = 0.02). This study first demonstrates the robust engraftment of in situ transplanted hNSCs in a clinically-relevant ASDH decompression rat model. Further preclinical studies with longer study duration are warranted to verify the effectiveness of hNSC transplantation in amelioration of TBI induced deficits.

History and physical exam predictors of intracranial injury in the elderly fall patient: A prospective multicenter study

OBJECTIVES

A prior single-center study demonstrated historical and exam features predicting intracranial injury (ICI) in geriatric patients with low-risk falls. We sought to prospectively validate these findings in a multicenter population.

METHODS

This is a prospective observational study of patients ≥65 years presenting after a fall to three EDs. Patients were eligible if they were at baseline mental status and were not triaged to the trauma bay. Fall mechanism, head strike history, headache, loss of consciousness (LOC), anticoagulants/antiplatelet use, dementia, and signs of head trauma were recorded. Radiographic imaging was obtained at the discretion of treating physicians. Patients were called at 30 days to determine outcome in non-imaged patients.

RESULTS

723 patients (median age 83, interquartile range 74-88) were enrolled. Although all patients were at baseline mental status, 76 had GCS <15, and 154 had dementia. 406 patients were on anticoagulation/antiplatelet agents. Fifty-two (7.31%) patients had traumatic ICI. Two study variables were helpful in predicting ICI: LOC (odds ratio (OR) 2.02) and signs of head trauma (OR 2.6). The sensitivity of these items was 86.5% (CI 73.6-94) with a specificity of 38.8% (CI 35.1-42.7). The positive predictive value in this population was 10% (CI 7.5-13.3) with a negative predictive value of 97.3% (CI 94.4-98.8). Had these items been applied as a decision rule, 273 patients would not have undergone CT scanning, but 7 injuries would have been missed.

CONCLUSION

In low-risk geriatric fall patients, the best predictors of ICI were physical findings of head trauma and history of LOC.

Geriatric Traumatic Brain Injury: Epidemiology, Outcomes, Knowledge Gaps, and Future Directions

This review of the literature on traumatic brain injury (TBI) in older adults focuses on incident TBI sustained in older adulthood ("geriatric TBI") rather than on the separate, but related, topic of older adults with a history of earlier-life TBI. We describe the epidemiology of geriatric TBI, the impact of comorbidities and pre-injury function on TBI risk and outcomes, diagnostic testing, management issues, outcomes, and critical directions for future research. The highest incidence of TBI-related emergency department visits, hospitalizations, and deaths occur in older adults. Higher morbidity and mortality rates among older versus younger individuals with TBI may contribute to an assumption of futility about aggressive management of geriatric TBI. However, many older adults with TBI respond well to aggressive management and rehabilitation, suggesting that chronological age and TBI severity alone are inadequate prognostic markers. Yet there are few geriatric-specific TBI guidelines to assist with complex management decisions, and TBI prognostic models do not perform optimally in this population. Major barriers in management of geriatric TBI include under-representation of older adults in TBI research, lack of systematic measurement of pre-injury health that may be a better predictor of outcome and response to treatment than age and TBI severity alone, and lack of geriatric-specific TBI common data elements (CDEs). This review highlights the urgent need to develop more age-inclusive TBI research protocols, geriatric TBI CDEs, geriatric TBI prognostic models, and evidence-based geriatric TBI consensus management guidelines aimed at improving short- and long-term outcomes for the large and growing geriatric TBI population.