The current classification of traumatic brain injury (TBI) primarily uses the Glasgow Coma Scale (GCS) to categorize injuries as mild (GCS 13-15), moderate (GCS 9-12), or severe (GCS ≤8). However, this system is unsatisfactory, as it overlooks variations in injury severity, clinical needs, and prognosis. A recent report by the National Academies of Sciences, Engineering, and Medicine (USA) recommended updating the classification system, leading to a workshop in 2024 by the National Institute of Neurological Disorders and Stroke. This resulted in the development of a new clinical, biomarker, imaging, and modifier (CBI-M) framework, with input from six working groups, including the Clinical/Symptoms Working Group (CSWG). The CSWG included both clinical and non-clinical experts and was informed by individuals with lived experience of TBI and public consultation. The CSWG primarily focused on acute clinical assessment of TBI in hospital settings, with discussion and recommendations based on pragmatic expert reviews of literature. Key areas reviewed included: assessment of neurological status; performance-based assessment tools; age and frailty, pre-existing comorbidities, and prior medication; extracranial injuries; neuroworsening; early physiological insults; and physiological monitoring in critical care. This article reports their discussions and recommendations. The CSWG concluded that the GCS remains central to TBI characterization but must include detailed scoring of eye, verbal, and motor components, with identification of confounding factors and clear documentation of non-assessable components. Pupillary reactivity should be documented in all patients, but recorded separately from the GCS, rather than as an integrated GCS-Pupils score. At ceiling scores on the GCS (14/15), history of loss of consciousness (LoC) and the presence and duration of post-traumatic amnesia should be recorded using validated tools, and acute symptoms documented in patients with a GCS verbal score of 4/5 using standardized rating scales. Additional variables to consider for a more complete characterization of TBI include injury mechanism, acute physiological insults and seizures; and biopsychosocial-environmental factors (comorbidities, age, frailty, socioeconomic status, education, and employment). The CSWG recommended that, for a complete characterization of TBI, disease progression/resolution should be monitored over 14 days. While there was a good basis for the recommendations listed above, evidence for the use of other variables is still emerging. These include: detailed documentation of neurological deficits, vestibulo-oculomotor dysfunction, cognition, mental health symptoms, and (for hospitalized patients) data-driven integrated measures of physiological status and therapy intensity. These recommendations are based on expert consensus due to limited high-quality evidence. Further research is needed to validate and refine these guidelines, ensuring they can be effectively integrated into the CBI-M framework and clinical practice.

To describe the long-term functional outcome of traumatic brain injury (TBI) patients treated by decompressive craniectomy (DC).

Data was collected on decompressive craniectomy performed on TBI patients admitted between May 1, 2018, and May 1, 2021, using a multi-center, cross-sectional study design. The long-term outcomes of survivors were assessed using a structured extended Glasgow Outcome Scale (GOSE) questionnaire. Descriptive statistics, including frequency, mean, median, and range, were analyzed. Predictors of functional outcomes were determined using multivariate regression analyses.

In this study, 74 patients were examined. The mean age at the time of DC was 33.9 years, with a male:female ratio of 11:1. Primary DC was performed in 93.2% of cases. The in-hospital and overall mortality rates were 24.3% and 36.5% respectively. Overall, a favorable functional outcome (GOSE ≥4) was witnessed in 43 patients (58.1%). Among survivors, 91.5% had favorable outcomes. Age ≥40 years, Glasgow Coma Scale (GCS) score ≤5, chest infections, and noninfectious complications were independent predictors of an unfavorable functional outcome (GOSE<4). Patients with GCS ≤5 fared the worst, with an unfavorable functional outcome rate of 85.7%.

Our results showed that a significant number of our patients had favorable functional outcome after DC for TBI comparable to results from high-income countries. We found that age, admission GCS, postoperative chest infection, and noninfectious complications were all independent factors predicting unfavorable functional outcome. In particular, patients with GCS ≤5 had a higher rate of mortality and unfavorable outcome.

Alaska has among the highest traumatic brain injury (TBI) mortality rates in the United States. We characterized the epidemiology of TBIs in the country's largest and most sparsely populated state to guide prevention efforts.

This cross-sectional study analyzed TBI-associated hospitalization and mortality rates in Alaska from 2016 through 2021. Data included people with TBI-associated hospitalization or death in Alaska. We compared age-adjusted rates using national data, with analysis by age, sex, race and ethnicity, and injury mechanism. Logistic regression explored factors influencing mortality among hospitalized patients with TBI.

TBI-associated hospitalization rates per 100 000 population in Alaska were highest among adults aged ≥75 years (310.4), by sex among males (123.3), and by race among American Indian and Alaska Native (AI/AN) people (186.7). Patients with TBI-associated hospitalizations due to self-harm were approximately 8.6 times as likely to die as patients with unintentional injuries. Alaska's age-adjusted TBI-associated mortality rate per 100 000 population was twice the national rate (36.2 vs 17.3). TBI-associated mortality rates in Alaska exceeded national averages across all demographic characteristics and injury mechanisms. Adults aged ≥75 years, males, and AI/AN people in Alaska had TBI-associated death rates that were 1.3, 1.9, and 2.0 times higher, respectively, than national rates. Alaska's TBI-associated mortality rate from suicide was 2.6 times the national average, with notable racial disparities for AI/AN people.

TBIs are a considerable source of morbidity and mortality in Alaska, with disproportionate effects observed among population groups. These findings underscore the need for increased focus on mechanism-specific TBI prevention activities, particularly for older adults and AI/AN people.

This study investigates the relationship between mortality and specific clinical factors in patients with severe traumatic brain injury (TBI) who present with a Glasgow Coma Scale (GCS) score of 3. Data from 161 adult patients were collected from the Chi-Mei Medical Center in Taiwan, spanning 2010 to 2019. The findings revealed an overall mortality rate of 44.10%, with significant predictors of mortality identified as age and pupil size. The Spearman correlation analysis showed that both age and pupil sizes were positively correlated with mortality rates. Multiple logistic regression confirmed age and left pupil size as strong predictors of mortality. Patients with GCS 3 and both unreactive pupils measuring 4 mm or more experienced the highest mortality rate of 68.39%, while those with pupils less than 4 mm had a lower mortality rate of 32.26%. The study determined optimal cut-off values for age and pupil size using ROC and AUC analysis, highlighting the significance of age in mortality predictions. These findings underscore the critical role of age and pupil size in the prognosis of TBI patients and provide valuable guidance for clinicians managing such cases.

In its acute phase, traumatic brain injury (TBI) is notable for disturbances in the coagulation/fibrinolysis system. Plasmin, alpha 2-plasmin inhibitor (α2-PI), and their complex (plasmin-α2-PI complex [PIC]) are important components of the coagulation-fibrinolytic system, but their time courses in the acute phase of TBI and their association with long-term prognosis are unknown.

We conducted a retrospective analysis of 84 consecutive patients with isolated TBI, during which plasma α2-PI and PIC levels were measured at the time of arrival, as well as at 3, 6, and 12 h, and on days 1, 3, and 7 post-injury. Differences in plasma α2-PI and PIC levels between the good outcome group (extended Glasgow Outcome Scale [GOS-E] of 5-8 at 6 months post-injury) and the poor outcome group (GOS-E of 1-4 at 6 months post-injury) were analyzed using a generalized linear mixed model (GLMM). The hematoma volume of the initial CT scan upon admission and the follow-up CT scan was evaluated using CT volumetry, and then the relationship between changes in hematoma volume and plasma levels of α2-PI and PIC at admission was examined.

Abnormally high plasma PIC levels were observed at admission in 97.6% of the patients. In the GLMM adjusted for covariates, the poor outcome group had significantly lower plasma α2-PI activity from admission to 3 days post-injury and significantly higher plasma PIC levels from admission to 6 h post-injury compared to the good outcome group. A negative correlation was found between α2-PI activity at admission and changes in hematoma volume (Spearman's correlation coefficient, r =  - 0.587, p = 0.001).

These findings suggest that plasmin was activated and fibrinolysis enhanced immediately after injury in most patients, while in a subset of patients, hematoma expansion due to the suppression of fibrinolytic inhibition by α2-PI negatively affected the outcome.

Age at injury influences functional outcomes after severe traumatic brain injury (TBI), but its role remains underexplored in studies that simultaneously include children, adolescents, and adults.

To investigate the effect of age at injury on mortality and overall disability 7 to 8 years post-severe TBI across diverse age groups.

Two prospective longitudinal cohorts assessed overall functional outcomes in 39 children/adolescents [Traumatisme Grave de l'Enfant (TGE) cohort, mean age at injury M(SD) = 7.5 years (4.6), range 0.3 to 14.7] and 86 adults [PariS-TBI cohort, M(SD) = 34.1 years (13.7), range 15.4 to 74.8], who sustained severe TBI [Glasgow Coma Scale (GCS) ≤8]. Both studies collected data on baseline demographics (age, gender, education level), initial injury severity (GCS, Injury Severity Score [ISS], length of coma), and mortality rates. Follow-up assessments included clinician-rated overall disability [Glasgow Outcome Scale-Extended (GOS-E)], clinical/neurological recovery, and self-/proxy-reported questionnaires assessing school/work situation, anxiety/depression, and caregivers' perceived burden.

Adults evidenced significantly higher mortality rates, longer lengths of coma, and more frequent persistent motor deficits than children/adolescents. Children/adolescents exhibited increased rates of good recovery (GOS-E) 7 to 8 years post-injury compared to adults (P = 0.03). In multivariate linear regression analyses, GOS-E was associated with GCS score and pre-injury education in the total sample and adults. In both age groups, overall post-injury disability was associated with the presence of school/work adaptations and motor deficits, increased anxiety/depression, and higher caregiver burden.

These findings reveal distinct age-specific patterns of recovery and disability after severe TBI among children, adolescents, and adults, highlighting the need for tailored assessments and interventions for each group. Furthermore, they underline the necessity of prolonged follow-up in children and adolescents to evaluate their transition to independent living and professional integration. Future research should confirm these results and identify modifiable factors that promote recovery and minimize long-term disability.

To examine the association between contextual social determinants of health (SDoH) and receipt of first outpatient or home health (HH) rehabilitation visit after hospital discharge among older adults with traumatic brain injury (TBI) in Texas.

Community following hospital discharge.

19 117 patients aged 66 and older hospitalized for a TBI from January 1, 2014, and discharged up to December 31, 2018, who returned home within 90 days from discharge.

Retrospective cohort study using 100% Texas Medicare claims data.

Contextual-level SDoH (eg, neighborhood ethno-racial identity make-up, socioeconomic position, and residential context) from the 2022 American Community Survey (zip-code level) and the 2023 County Health Rankings; HH and Outpatient Rehabilitation Services (eg, physical therapy, occupational therapy, speech/language therapy, and behavioral health [eg, psychology, neuropsychology, social work]). Fine-Gray competing risk models were conducted.

Patients living in areas with higher median household incomes (Hazard ratio, HR = 0.92; 95% Confidence Interval, 95% CI: 0.87-0.97) and higher unemployment rate (HR = 0.98; 95% CI: 0.97-0.99) had decreased likelihood of having a HH visit upon return to community; those with higher uninsured rates (HR = 0.78; 95% CI: 0.70-0.87) and in rural areas (HR = 0.83; 95% CI: 0.76-0.92) had decreased likelihood of having an outpatient visit. In contrast, Food Environment Index (HR = 1.08; 95% CI: 1.05-1.11) increased the likelihood of having a HH visit while a higher percentage with severe housing problems (HR = 1.34; 95% CI: 1.22-1.46) increased the likelihood of an outpatient visit. When treating either outpatient or HH visits as a competing event, contextual-level SDoH was associated with a decreased likelihood of an outpatient visit but an increased likelihood of a HH visit.

Disparities exist in access to rehabilitation following community discharge, based on contextual-level SDoH, indicating the need to improve access to rehabilitation services for persons with TBI living in communities with greater social needs.

Epidural hematomas (EDH) are associated with a high rate of mortality and morbidity. Good clinical outcome depends on initial Glasgow Coma Scale (GCS), pupillary abnormalities, hematoma volume, age and time to surgery. The latter is mostly influenced by distance to the next level-1-trauma center.

The aim of this study was to evaluate the surgical care and the influence of a potential interhospital transport of patients with acute EDH.

A retrospective analysis of data from 2009 to 2020 was carried out. All patients who underwent surgical evacuation of an EDH were included. Time and distance to surgery, pupillary abnormalities, initial GCS, age at surgery, direct or indirect transport, outcome (GOS) and comorbidities were collected. The effect on outcome was analyzed by multivariate analysis.

One hundred and thirty-one patients (106 men, 25 women) with EDH were surgical treated at our department. 54% were transported directly to our hospital. Median time to surgery was 4 h (2-336 h) and mean distance was 50 km (road kilometers). There was no difference in surgical treatment between admission patterns. Secondarily transferred patients have been operated at least as fast than primary hospital admissions (median 10 h vs. 11 h, respectively). Direct or indirect transport of patients had no statistically significant influence on outcome (p = 0.72), like sex (p = 0.33) and time to surgery (p = 0.75).

Interhospital transport did not cause a significant delay of surgical treatment and outcome was comparable between direct and indirect transport to specialized neurosurgical care. Direct transport was more common on severe TBI and in patients with pupillary abnormalities, but secondary transport also allowed for adequate care.

This study aimed to assess the prognostic value of various frailty assessment tools in predicting 30-day mortality and Glasgow outcome scale (GOS) at discharge in elderly patients with traumatic brain injury (TBI). Additionally, the study evaluated the role of muscularity as surrogate for frailty in the context of TBI.

Data were collected from patients treated as inpatients in a single hospital.

All patients aged 60 years or older who were admitted for TBI between 1/2010 and 12/2020.

A single-center study, with retrospective analysis of clinical notes and computed tomography (CT) imaging at admission.

Assessment of frailty by different frailty grading scales, comorbidities by the Charlson Comorbidity Index (CCI), assessment of muscularity by muscle area measurements and their association with outcome of TBI.

A total of 1104 patients with a median age of 78 years (IQR 72-84) were identified. The overall mortality rate was 12.9% (n = 137). Multivariate regression models identified frailty measured by the Clinical Frailty Scale (CFS) (P < .0001) as predictive variable for short-term mortality and the CCI as predictive variable for GOS at discharge (P = .009); muscle area measurements as surrogate markers of sarcopenia were not associated with outcome in our cohort. Implementing frailty as measured by CFS and CCI into prognostic models for short-term mortality increased their predictive power (increase of area under the ROC curve from 0.897 to 0.919).

Geriatric-specific models are necessary for a more accurate prognosis estimation of elderly patients with TBI. Our findings suggest that frailty measured by CFS and assessment of comorbidities by CCI adds prognostic value, while muscularity at various locations (as assessed in CT imaging) had no effect on 30-day mortality after TBI.

Intracranial multimodal monitoring (iMMM) is increasingly used in neurocritical care, but a lack of standardization hinders its evidence-based development. Here, we devised core outcome sets (COS) and reporting guidelines to harmonize iMMM practices and research.

An open, decentralized, three-round Delphi consensus study involved experts between December 2023 and June 2024. Items-spanning three domains: (i) patient characteristics, (ii) practices, and (iii) outcomes-with ≥ 75% agreement were classified as strong agreement, while those with 50-75% were reconsidered in subsequent rounds, requiring ≥ 66% for moderate agreement.

An international, multidisciplinary panel comprised 58 neurocritical physicians and researchers with low attrition (12%). They were predominantly from Western regions (96%), actively involved in iMMM (82%), at least weekly (72.4%), with more than 10 years of specific experience (57%). Of the 127 items assessed for inclusion in COS and reporting guidelines, 45 (35.4%) reached strong and 8 (6.3%) moderate agreement. Main strong agreement items were: (i) demographics: age (98%) and sex/gender (90%); comorbidities: coagulation/platelet disorders (95%); initial scoring: Glasgow Coma Scale (97%) and pathology-specific scores (90%); active treatments: antithrombotics (95%) (ii) clinical practice: iMMM implantation indications (98%) and iMMM-guided interventions (91%); surgical practice: targeting strategies (97%) and concomitant external ventricular drainage (97%); technical details: recording modalities (98%); (iii) monitoring parameters: duration (97%) and triggered interventions (95%); standardized outcome reporting (93%); surgical complications (e.g., postoperative intracranial hemorrhages, CNS infections, and probe misplacement, all > 90%) and adverse events (accidental dislodgement, probe breakage, and technical malfunctions, all > 90%).

This consensus establishes foundational COS and reporting guidelines for iMMM in neurocritical care. These harmonization tools can enhance research quality, comparability, and reproducibility, facilitating evidence-based practices for this emerging technology. However, challenges remain in developing purpose-specific guidelines and adapting them to diverse clinical and research settings.

The association between sleep quality and cognition is widely established, but the role of aging in this relationship is largely unknown.

To examine how age impacts the sleep-cognition relationship and determine whether there are sensitive ranges when the relationship between sleep and cognition is modified. This investigation could help identify individuals at risk for sleep-related cognitive impairment.

Sample included 711 individuals (ages 36.00-89.83, 59.66 ± 14.91, 55.7 % female) from the Human Connectome Project-Aging (HCP-A).

The association between sleep quality (Pittsburgh Sleep Quality Index, PSQI) and cognition (Crystallized Cognition Composite and Fluid Cognition Composite from the NIH Toolbox, the Trail Making Test, TMT, and the Rey Auditory Verbal Learning Test, RAVLT) was measured using linear regression models, with sex, race, use of sleep medication, hypertension, and years of education as covariates. The interaction between sleep and age on cognition was tested using the moderation analysis, with age as both continuous linear and nonlinear (quadratic) terms.

There was a significant interaction term between the PSQI and nonlinear age term (age2) on TMT-B (p = 0.02) and NIH Toolbox crystallized cognition (p = 0.02), indicating that poor sleep quality was associated with worse performance on these measures (sensitive age ranges 50-75 years for TMT-B and 66-70 years for crystallized cognition).

The sleep-cognition relationship may be modified by age. Individuals in the middle age to early older adulthood age band may be most vulnerable to sleep-related cognitive impairment.

There is skepticism about the benefit of surgery in elderly patients affected by traumatic brain injury (TBI) due to the negative effect of age on the outcome and surgical complications. However, there are few studies that have investigated differences in patient's outcome between surgically and conservatively managed patients after adjusting for the imbalance in preinjury characteristics and clinical and radiological features. The primary aim of this study was to evaluate the effect of early surgery on mortality and functional recovery in a cohort of older adults with acute traumatic intracranial lesions after adjustment by Propensity Score (PS) matching.     MATERIALS AND METHODS: We conducted a retrospective cohort study on older adult patients (≥ 65 years) admitted for TBI between 2013 and 2023 to a single level 1 trauma center. Patients were categorized based on whether they underwent early surgery (< 48 h after TBI) for a space-occupying lesion evacuation. PS model was constructed based on age, frailty, comorbidities (Charlson comorbity index and American Society of Anaesthesiologists score), anticoagulants, hypoxia, shock, pupillary abnormalities and GCS motor response upon admission, midline shift, basal cistern effacement, volume of subdural and intracerebral hematomas, and limitation of life-sustaining treatment decisions.The effect of early surgery on 30-day mortality and unfavorable functional outcomes (GOSE 1-3) at 6 and 12 months were investigated after matching by paired test.

We identified and reviewed 301 patients who met all inclusion criteria and contained no exclusions. After matching, 62 patients (31 pairs of conservative and surgical patients) remained as the matched datasets. Our key finding was that older adult TBI patients who underwent early surgery had a statistically significant reduction in the risk of 30-day mortality (OR 0.313, 95% CI 0.114-0.853, p = 0.023) and unfaourable outcome at 12 months after TBI (OR 0.286, 95% CI 0.094-0.868, p = 0.027).

Early surgery was associated with decreased 30-day mortality and better functional outcome at 12 months after TBI in older adults with few comorbidities and good functionality when clinically affected by acute traumatic intracranial lesions with mass effect.

Traumatic brain injury (TBI) is a common problem in elderly individuals, with significant morbidity and mortality. The elderly Traumatic Brain Injury (eTBI) score, a novel tool for predicting outcomes in elderly patients with TBI, has shown promising results in previous studies. This study aimed to validate the eTBI score in a larger cohort of elderly patients with TBI in the Middle East. We conducted a retrospective study on 337 TBI patients with a mean age of 73.04 ± 8.73, admitted to a tertiary care hospital between March 2021 and November 2022. Within 30 days of admission, the patients' conditions, including mortality and entering a vegetative state, were evaluated. The study population was split into three groups based on eTBI score: low, medium, and high risk; then patients were divided into two subgroups based on their Glasgow Outcome Scale (GOS ≤ 2, GOS > 2) in 30 days from hospital admission. Poor outcomes (mortality and entering a vegetative state) occurred in 24.3% of the study population. Within 30 days of hospital admission, 88% of low-risk patients experienced some degree of improvement, while 100% of high-risk patients died or fell into a vegetative state. In the medium-risk group, there was a significant correlation between unresponsive pupil (P = 0.006), initial GCS score (P = 0.003), need for a ventilator device (P = 0.015), need for surgical treatment (P = 0.031) and poor outcomes. Despite having a low sensitivity (21% vs. 57%), the eTBI score performed well in terms of accuracy (81% vs. 88%), specificity (100 vs. 98%), positive predictive value (100% vs. 90%), and negative predictive value (80% vs. 88%) for both eTBI ≤ 0 and eTBI ≤ 3 thresholds. The eTBI score is a reliable tool for predicting outcomes in elderly patients with TBI. This scoring system has a positive predictive value of 100% in the eTBI ≤ 0 group, which shows that 100% of the patients who are predicted by the eTBI score to have a poor outcome will indeed have a poor outcome. Patients in the high-risk group should be closely monitored and provided with intensive care, while those in the low-risk group can be reassured about their prognosis. The eTBI score can also be used in conjunction with other clinical factors to inform treatment decisions for patients in the medium-risk group.

Disorders of consciousness (DoC) are states of impaired arousal or awareness. Deep brain stimulation (DBS) is a potential treatment, but outcomes vary, possibly due to differences in patient characteristics, electrode placement, or stimulation of specific brain networks. We studied 40 patients with DoC who underwent DBS targeting the thalamic centromedian-parafascicular complex. Better-preserved gray matter, especially in the striatum, correlated with consciousness improvement. Stimulation was most effective when electric fields extended into parafascicular and subparafascicular nuclei-ventral to the centromedian nucleus, near the midbrain-and when it engaged projection pathways of the ascending arousal network, including the hypothalamus, brainstem, and frontal lobe. Moreover, effective DBS sites were connected to networks similar to those underlying impaired consciousness due to generalized absence seizures and acquired lesions. These findings support the therapeutic potential of DBS for DoC, emphasizing the importance of precise targeting and revealing a broader link between effective DoC treatment and mechanisms underlying other conscciousness-impairing conditions.

Traumatic brain injury (TBI) is a leading cause of death and disability, often resulting in prolonged coma and disordered consciousness. There are currently gaps in understanding the factors affecting rehabilitation location and outcome after TBI.

To identify the impact of demographics, comorbidities, and complications on discharge disposition in adults with prolonged coma following TBI.

Retrospective cohort study.

Tertiary care hospitals and trauma centers in the United States.

Patients 18 years of age or older with TBI and prolonged coma during the years 2008 to 2015.

Not applicable.

Demographics, clinical injury data, comorbidities, and complications were collected, and odds ratios (ORs) and descriptive analysis were calculated for mortality, long-term rehabilitation, and home discharge without services.

A total of 6929 patients with TBI and prolonged coma were included in the final analysis; 3318 (47.9%) were discharged to rehabilitation facilities, 1859 (26.8%) died, and 1752 (25.3%) were discharged home. Older patients and those with higher injury severity scores had significantly higher ORs for mortality and rehab discharge. A total of 58.3% of patients presented with at least one comorbidity. Non-White ethnicities and self-pay/uninsured patients were significantly less likely to be discharged to a rehab facility. Furthermore, comorbidities including congestive heart failure (CHF) and diabetes were associated with a significantly increased OR for mortality and rehab discharge compared to home discharge without services.

Comorbidities, age, and injury severity were the most significant risk factors for increased mortality and acute rehab discharge. Maximizing the treatment of comorbidities including CHF and diabetes has the potential to decrease mortality and adverse outcomes following TBI with prolonged coma.

Traumatic brain injury (TBI) remains a significant global public health epidemic with adverse health and cost implications. Due to its complex, heterogeneous nature and wide-ranging impacts, definitive TBI treatments remain elusive. As such, continued laboratory research using animal models is warranted. In accordance with guidelines set forth for the humane treatment of research animals, TBI animal models are often administered analgesics for pain management. The choice of drug, timing, dose, and formulation of analgesic can vary depending on the study's unique needs and can potentially and unintentionally influence experimental results. In TBI studies utilizing rats as animal models, buprenorphine is a common analgesic administered. In addition to pain management in such studies, investigators must also monitor the research animals post-operatively and make the decision for humane euthanasia before intended experimental survival timepoint if the animals are assessed to be excessively suffering. This study investigated the differences in adult, male Sprague Dawley rats used for various TBI studies that reached weight-loss-induced humane endpoints following a single administration of buprenorphine slow-release LAB (bup-SR-LAB) or buprenorphine slow-release HCl (bup-SR-HCl). Our findings indicate that TBI-induced rats receiving bup-SR-LAB in conjunction with a secondary surgical insult such as artificial intracranial pressure elevation and/or osmotic pump implantation reach a weight-loss-induced humane euthanasia endpoint more often compared to sham-injured rats. When stratifying into the same groups, we did not find this pattern to hold true for rats administered bup-SR-HCl. Overall, this study contributes to the limited body of literature addressing different analgesic formulations' effects on laboratory animals.

Introduction Head trauma in elderly people is a problem in today's aging society. Elderly people are susceptible to head trauma because of their declining physical function; this tends to be severe. Outcome prediction is important in decision-making regarding treatment strategies; however, there is no unified method for predicting neurological outcomes in elderly patients with head trauma. Methods Elderly patients with head trauma admitted to the Japan Red Cross Narita Hospital between January 2019 and August 2023 were enrolled in this single-center, retrospective observational study. A favorable neurological outcome was defined as a cerebral performance category scale of 1 or 2. Multivariate logistic regression analysis and receiver operating characteristic curve analysis were performed to investigate the association between geriatric trauma outcome scores and outcomes and to evaluate the predictive value of geriatric trauma outcome scores. The primary outcome was a favorable neurological outcome at discharge, and the secondary outcome was in-hospital mortality. Results A total of 313 elderly patients with head trauma were eligible for analysis. Multivariate logistic regression analysis revealed that the geriatric trauma outcome score was significantly associated with a favorable neurological outcome at discharge (odds ratio 0.94, P <0.0001). In the receiver operating characteristic curve analysis, the geriatric trauma outcome score had a good predictive value for favorable neurological outcomes at discharge (area under the receiver operating characteristic curve 0.83). Conclusions The geriatric trauma outcome score had good predictive value for favorable neurological outcomes at discharge in elderly patients with head trauma and has the potential to aid in decision-making regarding treatment strategies for elderly patients with head trauma.

Traumatic brain injury (TBI) and stroke both have the potential to cause significant damage to the brain, with resultant neuropsychological impairments. How these different mechanisms of injury influence cognitive and behavioral changes associated with brain damage, however, is not well understood. Moreover, previous research directly comparing TBI and stroke has not accounted carefully for lesion location and size. Here, using a detailed lesion-matching approach that was used previously to compare neuropsychological outcomes in stroke versus tumor, we compared the neuropsychological profiles of 14 patients with focal lesions caused by TBI to those of 27 lesion-matched patients with stroke. Each patient with TBI was matched to two patients with stroke, based on lesion location and size (except 1 TBI case where only 1 stroke match was available). Demographic attributes (age, gender, handedness, education) were also matched in the TBI: stroke triplets, as much as possible. The patients with TBI versus stroke had similar performances across all cognitive and behavioral measures, with no significant or clinically meaningful differences. A supplemental analysis on developmental- versus adult-onset TBI cases (with their respective stroke matches) also yielded non-significant results, with TBI and stroke groups being statistically indistinguishable. Our results suggest that focal lesions caused by TBI versus stroke have similar neuropsychological outcomes in the chronic recovery phase, when location and size of lesion are comparable across TBI versus stroke mechanisms of injury.

Age is associated with outcome after traumatic brain injury (TBI). However, there are mixed findings across outcome domains and most studies lack controls.

This cross-sectional study examined the association between age group (15-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years, and 65 years or more) and outcomes 2 years after TBI in independence in daily activities, driving, public transportation use, employment, leisure activities, social integration, relationships and emotional functioning, relative to healthy controls. It was hypothesized that older individuals with TBI would have significantly poorer outcomes than controls in all domains except anxiety and depression, for which it was expected they would show better outcomes. Global functional outcome (measured using the Glasgow Outcome Scale-Extended) was also examined, and we hypothesized that older adults would have poorer outcomes than younger adults.

Participants were 1897 individuals with TBI (mean, SD age 36.7, 17.7 years) who completed measures 2 years post-injury and 110 healthy controls (age 38.3, 17.5 years).

Compared to controls, individuals with TBI were less independent in most activities of daily living, participated less in leisure activities and employment, and were more socially isolated, anxious and depressed (p < 0.001). Those who were older in age were disproportionately less likely to be independent in light domestic activities, shopping and driving; and participated less in occupational activities relative to controls. Functional outcome was significantly higher in the youngest age group than in all older age groups (p < 0.001), but the younger groups were more likely to report being socially isolated (p < 0.001), depressed (p = 0.005) and anxious (p = 0.02), and less likely to be married or in a relationship (p < 0.001).

A greater focus is needed on addressing psychosocial issues in younger individuals with TBI, whereas those who are older may require more intensive therapy to maximise independence in activities of daily living and return to employment.

Available evidence suggests that as we age, our brain and immune system undergo changes that increase our susceptibility to injury, inflammation, and neurodegeneration. Since a significant portion of the potential patients treated with a microelectrode-based implant may be older, it is important to understand the recording performance of such devices in an aged population.

We studied the chronic recording performance and the foreign body response (FBR) to a clinically used microelectrode array implanted in the cortex of 18-month-old Sprague Dawley rats.

To the best of our knowledge, this is the first preclinical study of its type in the older mammalian brain. Here, we show that single-unit recording performance was initially robust then gradually declined over a 12-week period, similar to what has been previously reported using younger adult rats and in clinical trials. In addition, we show that FBR biomarker distribution was similar to what has been previously described for younger adult rats implanted with multi-shank recording arrays in the motor cortex. Using a quantitative immunohistochemcal approach, we observed that the extent of astrogliosis and tissue loss near the recording zone was inversely related to recording performance. A comparison of recording performance with a younger cohort supports the notion that aging, in and of itself, is not a limiting factor for the clinical use of penetrating microelectrode recording arrays for the treatment of certain CNS disorders.

Severe traumatic brain injury (TBI) is a leading cause of disability worldwide and cerebral protection (CP) management might determine the outcome of the patient. CP in severe TBI is to protect the brain from further insults, optimise cerebral metabolism and prevent secondary brain injury. This study aimed to analyse the short-term Glasgow Outcome Scale (GOS) at the intensive care unit (ICU) discharge and a month after ICU discharge of patients post CP and factors associated with the favourable outcome.

This is a prospective cohort study from January 2021 to January 2022. The short-term outcomes of patients were evaluated upon ICU discharge and 1 month after ICU discharge using GOS. Favourable outcome was defined as GOS 4 and 5. Generalised Estimation Equation (GEE) was adopted to conduct bivariate GEE and subsequently multivariate GEE to evaluate the factors associated with favourable outcome at ICU discharge and 1 month after discharge.

A total of 92 patients with severe TBI with GOS of 8 and below admitted to ICU received CP management. Proportion of death is 17% at ICU discharge and 0% after 1 month of ICU discharge. Proportion of favourable outcome is 26.1% at ICU discharge and 61.1% after 1 month of ICU discharge. Among factors evaluated, age (odds ratio [OR] = 0.96; 95% CI: 0.94, 0.99; P = 0.004), duration of CP (OR = 0.41; 95% CI: 0.20, 0.84; P = 0.014) and hyperosmolar therapy (OR = 0.41; CI 95%: 0.21, 0.83; P = 0.013) had significant association.

CP in younger age, longer duration of CP and patient not receiving hyperosmolar therapy are associated with favourable outcomes. We recommend further clinical trial to assess long term outcome of CP.

Moderate-severe traumatic brain injury (msTBI) carries high morbidity and mortality worldwide. Accurate neuroprognostication is essential in guiding clinical decisions, including patient triage and transition to comfort measures. Here we provide recommendations regarding the reliability of major clinical predictors and prediction models commonly used in msTBI neuroprognostication, guiding clinicians in counseling surrogate decision-makers.

Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology, we conducted a systematic narrative review of the most clinically relevant predictors and prediction models cited in the literature. The review involved framing specific population/intervention/comparator/outcome/timing/setting (PICOTS) questions and employing stringent full-text screening criteria to examine the literature, focusing on four GRADE criteria: quality of evidence, desirability of outcomes, values and preferences, and resource use. Moreover, good practice recommendations addressing the key principles of neuroprognostication were drafted.

After screening 8125 articles, 41 met our eligibility criteria. Ten clinical variables and nine grading scales were selected. Many articles varied in defining "poor" functional outcomes. For consistency, we treated "poor" as "unfavorable". Although many clinical variables are associated with poor outcome in msTBI, only the presence of bilateral pupillary nonreactivity on admission, conditional on accurate assessment without confounding from medications or injuries, was deemed moderately reliable for counseling surrogates regarding 6-month functional outcomes or in-hospital mortality. In terms of prediction models, the Corticosteroid Randomization After Significant Head Injury (CRASH)-basic, CRASH-CT (CRASH-basic extended by computed tomography features), International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT)-core, IMPACT-extended, and IMPACT-lab models were recommended as moderately reliable in predicting 14-day to 6-month mortality and functional outcomes at 6 months and beyond. When using "moderately reliable" predictors or prediction models, the clinician must acknowledge "substantial" uncertainty in the prognosis.

These guidelines provide recommendations to clinicians on the formal reliability of individual predictors and prediction models of poor outcome when counseling surrogates of patients with msTBI and suggest broad principles of neuroprognostication.

This study aims to explore the epidemiology and outcomes of severe traumatic brain injury (TBI) in Incheon, focusing on regional characteristics using data from a local trauma center.

From January 2018 to December 2022, 559 patients with severe TBI were studied. We analyzed factors related to demography, prehospitalization, surgery, complications, and clinical outcomes, including intensive care unit stay, ventilator use, hospital stay, mortality, and Glasgow outcome scale (GOS) scores at discharge and after 6 months.

In this study, most severe TBI patients were in the 60-79 age range, constituting 37.4% of cases. Most patients (74.1%) used public emergency medical services for transportation, and 75.3% arrived directly at the hospital, a significantly higher proportion compared to transferred patients. Timewise, 40.0% reached the hospital within an hour of injury. Complication rates stood at 16.1%, with pneumonia being the most common. The mortality rate was 44.0%, and at discharge, 81.2% of patients had unfavorable outcomes (GOS 1-3), reducing to 70.1% at 6 months.

As a pioneering study at Incheon's trauma center, this research provides insights into severe TBI outcomes, enhancing understanding by contrasting local and national data.

Traumatic brain injury (TBI) is a heterogeneous condition in terms of pathophysiology and clinical course. Outcomes from moderate to severe TBI (msTBI) remain poor despite concerted research efforts. The heterogeneity of clinical management represents a barrier to progress in this area. PRECISION-TBI is a prospective, observational, cohort study that will establish a clinical research network across major neurotrauma centres in Australia. This network will enable the ongoing collection of injury and clinical management data from patients with msTBI, to quantify variations in processes of care between sites. It will also pilot high-frequency data collection and analysis techniques, novel clinical interventions, and comparative effectiveness methodology.

PRECISION-TBI will initially enrol 300 patients with msTBI with Glasgow Coma Scale (GCS) <13 requiring intensive care unit (ICU) admission for invasive neuromonitoring from 10 Australian neurotrauma centres. Demographic data and process of care data (eg, prehospital, emergency and surgical intervention variables) will be collected. Clinical data will include prehospital and emergency department vital signs, and ICU physiological variables in the form of high frequency neuromonitoring data. ICU treatment data will also be collected for specific aspects of msTBI care. Six-month extended Glasgow Outcome Scores (GOSE) will be collected as the key outcome. Statistical analysis will focus on measures of between and within-site variation. Reports documenting performance on selected key quality indicators will be provided to participating sites.

Ethics approval has been obtained from The Alfred Human Research Ethics Committee (Alfred Health, Melbourne, Australia). All eligible participants will be included in the study under a waiver of consent (hospital data collection) and opt-out (6 months follow-up). Brochures explaining the rationale of the study will be provided to all participants and/or an appropriate medical treatment decision-maker, who can act on the patient's behalf if they lack capacity. Study findings will be disseminated by peer-review publications.

NCT05855252.

Cerebral perfusion pressure (CPP) guidance by cerebral pressure autoregulation (CPA) status according to PRx (correlation mean arterial blood pressure (MAP) and intracranial pressure (ICP)) and optimal CPP (CPPopt = CPP with lowest PRx) is promising but little is known regarding this approach in elderly. The aim was to analyze PRx and CPPopt in elderly TBI patients.

A total of 129 old (≥ 65 years) and 342 young (16-64 years) patients were studied using monitoring data for MAP and ICP. CPP, PRx, CPPopt, and ΔCPPopt (difference between actual CPP and CPPopt) were calculated. Logistic regression analyses with PRx and ΔCPPopt as explanatory variables for outcome. The combined effects of PRx/CPP and PRx/ΔCPPopt on outcome were visualized as heatmaps.

The elderly had higher PRx (worse CPA), higher CPPopt, and different temporal patterns. High PRx influenced outcome negatively in the elderly but less so than in younger patients. CPP close to CPPopt correlated to favorable outcome in younger, in contrast to elderly patients. Heatmap interaction analysis of PRx/ΔCPPopt in the elderly showed that the region for favorable outcome was centered around PRx 0 and ranging between both functioning and impaired CPA (PRx range - 0.5-0.5), and the center of ΔCPPopt was - 10 (range - 20-0), while in younger the center of PRx was around - 0.5 and ΔCPPopt closer to zero.

The elderly exhibit higher PRx and CPPopt. High PRx influences outcome negatively in the elderly but less than in younger patients. The elderly do not show better outcome when CPP is close to CPPopt in contrast to younger patients.

Primary decompressive craniectomy (DC) is carried out to prevent intracranial hypertension after removal of mass lesions resulting from traumatic brain injury (TBI). While primary DC can be a life-saving intervention, significant mortality risks persist during the follow-up period. This study was undertaken to investigate the long-term survival rate and ascertain the risk factors of mortality in TBI patients who underwent primary DC. We enrolled 162 head-injured patients undergoing primary DC in this retrospective study. The primary focus was on long-term mortality, which was monitored over a range of 12 to 209 months post-TBI. We compared the clinical parameters of survivors and non-survivors, and used a multivariate logistic regression model to adjust for independent risk factors of long-term mortality. For the TBI patients who survived the initial hospitalization period following surgery, the average duration of follow-up was 106.58 ± 65.45 months. The recorded long-term survival rate of all patients was 56.2% (91/162). Multivariate logistic regression analysis revealed that age (odds ratio, 95% confidence interval = 1.12, 1.07-1.18; p < 0.01) and the status of basal cisterns (absent versus normal; odds ratio, 95% confidence interval = 9.32, 2.05-42.40; p < 0.01) were the two independent risk factors linked to long-term mortality. In conclusion, this study indicated a survival rate of 56.2% for patients subjected to primary DC for TBI, with at least a one-year follow-up. Key risk factors associated with long-term mortality were advanced age and absent basal cisterns, critical considerations for developing effective TBI management strategies.

Traumatic brain injury (TBI) is a leading cause of injury-related death and disability. In high-income countries, TBI is most prevalent among the older population (≥65 years), commonly caused by falls. Though age at injury is associated with increased risk of mortality and poor outcome, the underlying mechanisms are unclear. Studies in animal models may yield insights into the intersection of TBI with age. Here we review recent studies in animal models where TBI induced in aged animals is associated with exacerbated behavioral deficits (e.g., mortality, thigmotaxis, and cognitive deficits), neuropathology (microgliosis and astrogliosis), neuroinflammation (e.g., cytokines and iNOS), microglial alterations (e.g., more cellular vesicles and adopting a damage-associated microglia gene signature), and cell signaling and pathway changes (e.g., complement, phagocytosis, autophagy, trophic factor signaling). As relatively few preclinical studies focus on aged animals, more research is needed to fully understand the pathophysiology of TBI in the aged population. Particularly, we recommend that (1) more aged animals should be used, (2) closed-head TBI models should be considered, and (3) animal models of comorbidity or polytrauma should be considered.

Traumatic Brain Injury (TBI) is a significant public health issue, with diverse consequences across the lifespan. This comprehensive review explores the complex interplay between age-related responses and the immune system following TBI. TBI exhibits distinct effects in pediatric, adult, and elderly populations, with profound implications for recovery and long-term outcomes. The immune system, as a key player in the post-TBI inflammatory cascade, exerts age-dependent influences on inflammation, neuroinflammation, and tissue repair. We examine the evolving understanding of age-related neuroinflammatory responses, cytokine profiles, and the role of immune cells, such as microglia and T cells, in the context of TBI. Furthermore, we evaluate the therapeutic implications of age-specific immunomodulation strategies toward mitigating TBI-associated neuropathology. This review consolidates the current knowledge on age-related immune responses in TBI, shedding light on potential avenues for tailored therapeutic interventions across the age spectrum. Understanding these nuanced responses is crucial for optimizing patient care and enhancing recovery outcomes in the aftermath of traumatic brain injury.

Trauma-induced coagulopathy (TIC) due to serious injuries significantly leads to increased mortality and morbidity among elderly patients. However, the risk factors of TIC are not well elucidated. This study aimed to explore the risk factors of TIC in elderly patients who have major trauma.

In this retrospective study, the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020. The demographic information including gender, age, trauma parts, injury severity, use of blood products, use of vasopressors, need of emergency surgery, duration of mechanical ventilation, length of stay in the intensive care unit (ICU) and hospital, and clinical outcomes were extracted from electric medical records. Multivariate logistic regression analysis was performed to differentiate risk factors, and the performance of the model was evaluated using receiver operating characteristics (ROC) curves.

Among the 371 elderly trauma patients, 248 (66.8%) were male, with the age of 72.5 ± 6.8 years, median injury severity score (ISS) of 24 (IQR: 17-29), and Glasgow coma score (GCS) of 14 (IQR: 7-15). Of these patients, 129 (34.8%) were diagnosed with TIC, whereas 242 (65.2%) were diagnosed with non-TIC. The severity scores such as ISS (25 [20-34] vs. 21 [16-29], P<0.001) and shock index (SI), (0.90±0.66 vs. 0.58 ± 0.18, P<0.001) was significantly higher in the TIC group than in the non-TIC group. Serum calcium levels (1.97±0.19 mmol/L vs. 2.15±0.16 mmol/L, P<0.001), fibrinogen levels (1.7±0.8 g/L vs. 2.8±0.9 g/L, P<0.001), and base excess (BE, -4.9±4.6 mmol/L vs. -1.2 ± 3.1 mmol/L, P<0.001) were significantly lower in the TIC group than in the non-TIC group. Multivariate logistic regression analysis revealed that ISS>16 (OR: 3.404, 95%CI: 1.471-7.880; P=0.004), SI>1 (OR: 5.641, 95%CI: 1.700-18.719; P=0.005), low BE (OR: 0.868, 95%CI: 0.760-0.991; P=0.037), hypocalcemia (OR: 0.060, 95%CI: 0.009-0.392; P=0.003), and hypofibrinogenemia (OR: 0.266, 95%CI: 0.168-0.419; P<0.001) were independent risk factors for TIC in elderly trauma patients. The AUC of the prediction model included all these risk factors was 0.887 (95%CI: 0.851-0.923) with a sensitivity and specificity of 83.6% and 82.6%, respectively.

Higher ISS (more than 16), higher SI (more than 1), acidosis, hypocalcemia, and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.

Background Traumatic acute subdural hematoma (ASDH) is a surgical emergency and has been associated with high morbidity and mortality. However, it is not known whether mortality from ASDH occurs more frequently in a particular season. Methodology We queried the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) from 2016 to 2019. They were identified in the NSQIP using the International Classification of Diseases (ICD-10) code S06.5 to capture all admissions with a primary diagnosis of traumatic subdural hematoma. Mortality rates were reviewed per season, defined as three consecutive months in the year. Demographics such as age, race, ethnicity, height, and weight were reviewed. Comorbidities such as diabetes, risk factors, including smoking history, and hospitalization characteristics, such as admission year, operation year, and inpatient/outpatient treatment type, were also reviewed. Results A total of 1,656 patients were included in this study. The mean age of all participants was 70.6 years, with 37% (604/1,656) being female. The mortality rate was highest in January, February, and March at 24.5% (104/425, P = 0.045) of admitted patients compared to mortality rates of 18.8% (70/373) in April to June, 18.4% (81/441) in July to September, and 17.5% (73/417) in October to December. Conclusions Mortality is significantly greater during the winter months of January, February, and March among patients with ASDH. Despite better survival rates of ASDH over the past two decades, postoperative mortality rates still remain high.

The morbidity and mortality of acute subdural hematoma (aSDH) remains high. Several factors have been reported to affect the outcome and survival of these patients. In this study, we explored factors potentially associated with the outcome and survival of surgically treated acute subdural hematoma (aSDH), including postcraniotomy hematomas (PCHs).

This retrospective cohort study was conducted in a single tertiary university hospital between 2008 and 2012 and all aSDH patients that underwent surgical intervention were included. A total of 132 cases were identified for collection of demographics, clinical, laboratory, and imaging data. Univariate and multivariable analyses were performed to assess factors associated with three-month Glasgow Outcome Scale (GOS) and survival at one- and five-year.

In this study, PCH (n = 14, 10.6%) was not associated with a worse outcome according to the 3- month GOS (p = 0.37) or one (p = 0.34) and five-year (p = 0.37) survival. The multivariable analysis showed that the volume of initial hematoma (p = 0.009) and Abbreviated Injury Scale score (p = 0.016) were independent predictors of the three-month GOS. Glasgow Coma Scale (GCS) score (p < 0.001 and p = 0.037) and age (p = 0.048 and p = 0.003) were predictors for one and five-year survival, while use of antiplatelet drug (p = 0.030), neuroworsening (p = 0.005) and smoking (p = 0.026) were significant factors impacting one year survival. In addition, blood alcohol level on admission was a predictor for five-year survival (p = 0.025).

These elucidations underscore that, although PCHs are pertinent, a comprehensive appreciation of multifarious variables is indispensable in aSDH prognosis. These findings are observational, not causal. Expanded research endeavors are advocated to corroborate these insights.

We studied the impact of age on survival and functional recovery in brain-injured patients.

We performed an observational cohort study of all consecutive adult patients with brain injury admitted to ICU in 8 years. To estimate the optimal cut-off point of the age associated with unfavorable outcomes (mRS 3-6), receiver operating characteristic (ROC) curve analyses were used. Multivariate logistic regression analyses were performed to identify prognostic factors for unfavorable outcomes.

We included 619 brain-injured patients. We identified 60 years as the cut-off point at which the probability of unfavorable outcomes increases. Patients ≥ 60 years had higher severity scores at ICU admission, longer duration of mechanical ventilation, longer ICU and hospital stays, and higher mortality. Factors identified as associated with unfavorable outcomes (mRS 3-6) were an advanced age (≥ 60 years) [Odds ratio (OR) 4.59, 95% confidence interval (CI) 2.73-7.74, p < 0.001], a low GCS score (≤ 8 points) [OR 3.72, 95% CI 1.95-7.08, p < 0.001], the development of intracranial hypertension [OR 5.52, 95% CI 2.70-11.28, p < 0.001], and intracerebral hemorrhage as the cause of neurologic disease [OR 3.87, 95% CI 2.34-6.42, p < 0.001].

Mortality and unfavorable functional outcomes in critically ill brain-injured patients were associated with older age (≥ 60 years), higher clinical severity (determined by a lower GCS score at admission and the development of intracranial hypertension), and an intracerebral hemorrhage as the cause of neurologic disease.

Numerous mortality prediction tools are currently available to assist patients with moderate to severe traumatic brain injury (TBI). However, an algorithm that utilizes various machine learning methods and employs diverse combinations of features to identify the most suitable predicting outcomes of brain injury patients in the intensive care unit (ICU) has not yet been well-established.

Between January 2016 and December 2021, we retrospectively collected data from the electronic medical records of Chi Mei Medical Center, comprising 2260 TBI patients admitted to the ICU. A total of 42 features were incorporated into the analysis using four different machine learning models, which were then segmented into various feature combinations. The predictive performance was assessed using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and validated using the Delong test.

The AUC for each model under different feature combinations ranged from 0.877 (logistic regression with 14 features) to 0.921 (random forest with 22 features). The Delong test indicated that the predictive performance of the machine learning models is better than that of traditional tools such as APACHE II and SOFA scores.

Our machine learning training demonstrated that the predictive accuracy of the LightGBM is better than that of APACHE II and SOFA scores. These features are readily available on the first day of patient admission to the ICU. By integrating this model into the clinical platform, we can offer clinicians an immediate prognosis for the patient, thereby establishing a bridge for educating and communicating with family members.

Frailty in trauma has been found to predict poor outcomes after injury including additional in-hospital complications, mortality, and discharge to dependent care. These gross outcome measures are insufficient when discussing long-term recovery as they do not address what is important to patients including functional status and quality of life. The purpose of this study is to determine if the Palliative Performance Scale (PPS) predicts mortality and functional status one year after trauma in geriatric patients.

Prospective observational study of trauma survivors, age ≥55 years. Patients were stratified by pre-injury PPS high (>70) or low (≤70). Outcomes were functional status at 1 year measured by Glasgow Outcome Scale Extended (GOSE), Euroqol-5D and SF-36. Adjusted relative risks (aRR) were obtained using modified Poisson regression.

Follow-up was achieved on 215/301 patients. Mortality was 30% in low PPS group vs 8% in the high PPS group (P<0.001). A greater percentage of patients in the high group had a good functional outcome at one year compared to patients in the low group (78% vs 30% p<0.001). The high PPS patients were more likely to have improvement of GOSE at 1 year from discharge compared to low group (66% vs 27% P<0.001). Low PPS independently predicted poor functional outcome (aRR, 2.64; 95% confidence interval, 1.79-3.89) and death at 1 year (aRR, 3.64; 95% confidence interval 1.68-7.92). An increased percentage of low PPS patients reported difficulty with mobility (91% vs 46% p<0.0001) and usual activities (82% vs 56% p=0.002). Both groups reported pain (65%) and anxiety/depression (47%).

Low pre-Injury PPS predicts mortality and poor functional outcomes one year after trauma. Low PPS patients were more likely to decline, rather than improve. Regardless of PPS, most patients have persistent pain, anxiety, and limitations in performing daily activities.

Multiple measures of injury severity are suggested as common data elements in preclinical traumatic brain injury (TBI) research. The robustness of these measures in characterizing injury severity is unclear. In particular, it is not known how reliably they predict individual outcomes after experimental TBI.

We assessed several commonly used measures of initial injury severity for their ability to predict chronic cognitive outcomes in a rat lateral fluid percussion (LFPI) model of TBI. At the time of injury, we assessed reflex righting time, neurologic severity scores, and 24 h weight loss. Sixty days after LFPI, we evaluated working memory using a spontaneous alternation T-maze task.

We found that righting time and weight loss had no correlation to chronic T-maze performance, while neurologic severity score correlated weakly.

Taken together, our results indicate that commonly used early measures of injury severity do not robustly predict longer-term outcomes. This finding parallels the uncertainty in predicting individual outcomes in TBI clinical populations.

There is limited research regarding the characteristics of those from the general population who seek care following acute concussion.

To address this gap, a large cohort of 473 adults diagnosed with an acute concussion (female participants = 287; male participants = 186) was followed using objective measures prospectively over 16 weeks beginning at a mean of 5.1 days post-injury.

Falls were the most common mechanism of injury (MOI) (n = 137, 29.0%), followed by sports-related recreation (n = 119, 25.2%). Male participants were more likely to be injured playing recreational sports or in a violence-related incident; female participants were more likely to be injured by falling. Post-traumatic amnesia (PTA) was reported by 80 participants (16.9 %), and loss of consciousness (LOC) was reported by 110 (23.3%). In total, 54 participants (11.4%) reported both PTA and LOC. Male participants had significantly higher rates of PTA and LOC after their injury compared to their female counterparts. Higher initial symptom burden was associated with a longer duration of recovery for both male and female participants. Female participants had more symptoms and higher severity of symptoms at presentation compared to male participants. Female participants were identified to have a longer recovery duration, with a mean survival time of 6.50 weeks compared to 5.45 weeks in male participants (p < 0.0001). A relatively high proportion of female and male participants in this study reported premorbid diagnoses of depression and anxiety compared to general population characteristics.

Although premorbid diagnoses of depression and/or anxiety were associated with higher symptom burden at the initial visit, the duration of symptoms was not directly associated with a pre-injury history of psychological/psychiatric disturbance. This cohort of adults, from the general population, seeking care for their acute concussion attained clinical and functional recovery over a period of 4-12 weeks.

This study compared the predictive utility of Marshall, Rotterdam, Stockholm, Helsinki, and NeuroImaging Radiological Interpretation System (NIRIS) scorings based on early non-contrast brain computed tomography (CT) scans in patients with traumatic brain injury (TBI). The area under a receiver operating characteristic curve (AUROC) was used to determine the predictive utility of scoring systems. Subgroup analyses were performed among patients with head AIS scores > 1. A total of 996 patients were included, of whom 786 (78.9%) were males. In-hospital mortality, ICU admission, neurosurgical intervention, and prolonged total hospital length of stay (THLOS) were recorded for 27 (2.7%), 207 (20.8%), 82 (8.2%), and 205 (20.6%) patients, respectively. For predicting in-hospital mortality, all scoring systems had AUROC point estimates above 0.9 and 0.75 among all included patients and patients with head AIS > 1, respectively, without any significant differences. The Marshall and NIRIS scoring systems had higher AUROCs for predicting ICU admission and neurosurgery than the other scoring systems. For predicting THLOS ≥ seven days, although the NIRIS and Marshall scoring systems seemed to have higher AUROC point estimates when all patients were analyzed, five scoring systems performed roughly the same in the head AIS > 1 subgroup.