Predictors of traumatic brain injury morbidity and mortality: Examination of data from the national trauma data bank: Predictors of TBI morbidity & mortality

Changes of NLRP3 in serum and cerebrospinal fluid of patients after moderate to severe traumatic brain injury and their predictive values for prognosis

BACKGROUND

Traumatic brain injury (TBI) remains a major concern for global health. Recent studies have suggested the role of NOD-like receptor pyrin domain-containing protein 3 (NLRP3), an inflammatory marker, in the cerebrospinal fluid (CSF) and serum as potential indicators of TBI prognosis. The objective of the study was to characterize NLRP3 as a clinically applicable tool for predicting the outcomes of TBI patients.

METHODS

A total of 270 patients with moderate to severe TBI were included in this retrospective analysis. Serum and CSF samples were collected at 1-, 3-, 7-, and 21-day post-injury to measure NLRP3 levels. The prognosis of patients was evaluated after 3 months using the Glasgow Outcome Scale (GOS). Patients were categorized into good prognosis (GOS score >3) and poor prognosis (GOS score ≤3) groups. The relationship between NLRP3 levels and prognosis was analyzed.

RESULTS

Patients with poor prognosis had significantly elevated NLRP3 levels in their serum on days 1 and 3 post-injury compared with those with a good prognosis. The difference was more pronounced during these early days compared with days 7 and 21. However, NLRP3 levels in CSF consistently showed a large difference between the two groups throughout the observation period. Receiver operating characteristic analysis revealed that the level of NLRP3 in the CSF on day 3 post-injury had the highest predictive value for prognosis, with an area under the curve of 0.83, followed by the level of NLRP3 in the serum on day 3 post-injury.

CONCLUSIONS

The levels of NLRP3, especially in the CSF on day 3 post-injury, can serve as a potential biomarker for predicting prognosis in moderate to severe TBI patients. Early measurement of NLRP3 levels can provide valuable insights into patient outcomes and guide therapeutic strategies.

Quantitative assessment of traumatic brain injury risk in diverse age groups of females: Insights from computational biomechanics

Traumatic Brain Injury (TBI) stands as a multifaceted health concern, exhibiting varying influences across human population. This study delves into the biomechanical complexities of TBI within gender-specific contexts, focusing on females. Our primary objective is to investigate distinctive injury mechanisms and risks associated with females, emphasizing the imperative for tailored investigations within this cohort. By employing Fluid-Structure Interaction (FSI) Analysis, we conducted simulations to quantify biomechanical responses to traumatic forces across diverse age groups of females. The study utilized a scaling technique to create finite element models (FEMs). The young female FEM, based on anthropometric data, showcased a 15 % smaller head geometry compared to the young male FEM. Moreover, while the elderly female FEM closely mirrored the young female FEM in most structural aspects, it showed distinctive features such as brain atrophy and increased cerebrospinal fluid (CSF) layer thickness. Notably, the child female FEM (ages 7-11 years) replicated around 95 % of the young female FEM's geometry. These structural distinctions meticulously captured age-specific variations across our modeled female age groups. It's noteworthy that identical conditions, encompassing impact intensity, loading type, and boundary conditions, were maintained across all FEMs in this biomechanical finite element analysis, ensuring comparative results. The findings unveiled significant variations in frontal and occipital pressures among diverse age groups, highlighting potential age-related discrepancies in TBI susceptibility among females. These variations were primarily linked to differences in anatomical features, including brain volume, CSF thickness, and brain condition, as the same material properties were used in the FEMs. These results were approximately 4.70, 6.33 and 6.43 % in frontal area of brain in diverse age groups of females (young, elderly, and child) respectively compared to young male FEM. Comparing the FEM results between the young female and the elderly female, we observed a decrease in occipital brain pressure at the same point, reducing from 171,993 to 167,793 Pa, marking an approximate 2.5 % decrease. While typically the elderly exhibit greater brain vulnerability compared to the young, our findings showcase a reduction in brain pressure. Notably, upon assessing the relative movement between the brain and the skull at the point located in occipital area, we observed greater relative movement in the elderly (1.8 mm) compared to the young female (1.04 mm). Therefore, brain atrophy increases the range of motion of the brain within the cranial space. The study underscores the critical necessity for nuanced TBI risk assessment tailored to age and gender, emphasizing the importance of age-specific protective strategies in managing TBIs across diverse demographics. Future research employing individual modeling techniques and exploring a wider age spectrum holds promise in refining our understanding of TBI mechanisms and adopting targeted approaches to mitigate TBI in diverse groups.

Revealing the role of material properties in impact-related injuries: Investigating the influence of brain and skull density variations on head injury severity

Traumatic brain injuries (TBI) resulting from head impacts are a major public health concern, which prompted our research to investigate the complex relationship between the material properties of brain tissue and the severity of TBI. The goal of this research is to investigate how variations in brain and skull density influence the vulnerability of brain tissue to traumatic injury, thereby enhancing our understanding of injury mechanism. To achieve this goal, we employed a well-validated finite element head model (FEHM). The current investigation was divided into two phases: in the first one, three distinct brain viscoelastic materials that had been utilized in prior studies were analyzed. The review of the properties of these three materials has been meticulous, encompassing both the spectrum of mechanical properties and the behaviors that are relevant to the way in which brain tissue reacts to traumatic loading conditions. In the second phase, the material properties of both the brain and skull tissue, alongside the impact conditions, were held constant. After this step, the focus was directed towards the variation of density in the brain and skull, which was consistent with the results obtained from previous experimental investigations, in order to determine the precise impact of these variations in density. This approach allowed a more profound comprehension of the impacts that density had on the simulation results. In the first phase, Material No. 2 exhibited the highest maximum first principal strain value in the frontal region (ε max = 15.41 % ), indicating lower stiffness to instantaneous deformation. This characteristic suggests that Material No. 2 may deform more extensively upon impact, potentially increasing the risk of injury due to its viscoelastic behavior. In contrast, Material No. 1, with a lower maximum first principal strain in the frontal region (ε max = 7.87 % ), displayed greater stiffness to instantaneous deformation, potentially reducing the risk of brain injury upon head impact. The second phase provided quantitative findings revealing a proportional relationship between brain tissue density and the pressures experienced by the brain. A 2 % increase in brain tissue density corresponded to approximately a 1 % increase in pressure on the brain tissue. Similarly, changes in skull density exhibited a similar quantitative relationship, with a 6 % increase in skull density leading to a 2.5 % increase in brain pressure. This preliminary approximate ratio of 2 to 1 between brain and skull density variations provides an initial quantitative framework for assessing the impact of density changes on brain vulnerability. These findings have several implications for the development of protective measures and injury prevention strategies, particularly in contexts where head trauma is a major issue.

Trauma diagnostic-related target proteins and their detection techniques

Trauma is a significant health issue that not only leads to immediate death in many cases but also causes severe complications, such as sepsis, thrombosis, haemorrhage, acute respiratory distress syndrome and traumatic brain injury, among trauma patients. Target protein identification technology is a vital technique in the field of biomedical research, enabling the study of biomolecular interactions, drug discovery and disease treatment. It plays a crucial role in identifying key protein targets associated with specific diseases or biological processes, facilitating further research, drug design and the development of treatment strategies. The application of target protein technology in biomarker detection enables the timely identification of newly emerging infections and complications in trauma patients, facilitating expeditious medical interventions and leading to reduced post-trauma mortality rates and improved patient prognoses. This review provides an overview of the current applications of target protein identification technology in trauma-related complications and provides a brief overview of the current target protein identification technology, with the aim of reducing post-trauma mortality, improving diagnostic efficiency and prognostic outcomes for patients.

Probiotic treatment causes sex-specific neuroprotection after traumatic brain injury in mice

Background

Recent studies have shed light on the potential role of gut dysbiosis in shaping traumatic brain injury (TBI) outcomes. Changes in the levels and types of Lactobacillus bacteria present might impact the immune system disturbances, neuroinflammatory responses, anxiety and depressive-like behaviors, and compromised neuroprotection mechanisms triggered by TBI.

Objective

This study aimed to investigate the effects of a daily pan-probiotic (PP) mixture in drinking water containing strains of Lactobacillus plantarum, L. reuteri, L. helveticus, L. fermentum, L. rhamnosus, L. gasseri, and L. casei, administered for either two or seven weeks before inducing TBI on both male and female mice.

Methods

Mice were subjected to controlled cortical impact (CCI) injury. Short-chain fatty acids (SCFAs) analysis was performed for metabolite measurements. The taxonomic profiles of murine fecal samples were evaluated using 16S rRNA V1-V3 sequencing analysis. Histological analyses were used to assess neuroinflammation and gut changes post-TBI, while behavioral tests were conducted to evaluate sensorimotor and cognitive functions.

Results

Our findings suggest that PP administration modulates the diversity and composition of the microbiome and increases the levels of SCFAs in a sex-dependent manner. We also observed a reduction of lesion volume, cell death, and microglial and macrophage activation after PP treatment following TBI in male mice. Furthermore, PP-treated mice show motor function improvements and decreases in anxiety and depressive-like behaviors.

Conclusion

Our findings suggest that PP administration can mitigate neuroinflammation and ameliorate motor and anxiety and depressive-like behavior deficits following TBI. These results underscore the potential of probiotic interventions as a viable therapeutic strategy to address TBI-induced impairments, emphasizing the need for gender-specific treatment approaches.

The Australian Traumatic Brain Injury Initiative: Systematic Review and Consensus Process to Determine the Predictive Value of Demographic, Injury Event, and Social Characteristics on Outcomes for People With Moderate-Severe Traumatic Brain Injury

The objective of the Australian Traumatic Brain Injury (AUS-TBI) Initiative is to develop a data dictionary to inform data collection and facilitate prediction of outcomes of people who experience moderate-severe TBI in Australia. The aim of this systematic review was to summarize the evidence of the association between demographic, injury event, and social characteristics with outcomes, in people with moderate-severe TBI, to identify potentially predictive indicators. Standardized searches were implemented across bibliographic databases to March 31, 2022. English-language reports, excluding case series, which evaluated the association between demographic, injury event, and social characteristics, and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Abstracts and full text records were independently screened by at least two reviewers in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association. The review findings were discussed with an expert panel to determine the feasibility of incorporation of routine measurement into standard care. The search strategy retrieved 16,685 records; 867 full-length records were screened, and 111 studies included. Twenty-two predictors of 32 different outcomes were identified; 7 were classified as high-level (age, sex, ethnicity, employment, insurance, education, and living situation at the time of injury). After discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous predictors capable of enabling early identification of those at risk for poor outcomes and improved personalization of care through inclusion in routine data collection.

Identifying Age-Specific Risk Factors for Poor Outcomes After Trauma With Machine Learning

INTRODUCTION

Risk stratification for poor outcomes is not currently age-specific. Risk stratification of older patients based on observational cohorts primarily composed of young patients may result in suboptimal clinical care and inaccurate quality benchmarking. We assessed two hypotheses. First, we hypothesized that risk factors for poor outcomes after trauma are age-dependent and, second, that the relative importance of various risk factors are also age-dependent.

METHODS

A cohort study of severely injured adult trauma patients admitted to the intensive care unit 2014-2018 was performed using trauma registry data. Random forest algorithms predicting poor outcomes (death or complication) were built and validated using three cohorts: (1) patients of all ages, (2) younger patients, and (3) older patients. Older patients were defined as aged 55 y or more to maintain consistency with prior trauma literature. Complications assessed included acute renal failure, acute respiratory distress syndrome, cardiac arrest, unplanned intubation, unplanned intensive care unit admission, and unplanned return to the operating room, as defined by the trauma quality improvement program. Mean decrease in model accuracy (MDA), if each variable was removed and scaled to a Z-score, was calculated. MDA change ≥4 standard deviations between age cohorts was considered significant.

RESULTS

Of 5489 patients, 25% were older. Poor outcomes occurred in 12% of younger and 33% of older patients. Head injury was the most important predictor of poor outcome in all cohorts. In the full cohort, age was the most important predictor of poor outcomes after head injury. Within age cohorts, the most important predictors of poor outcomes, after head injury, were surgery requirement in younger patients and arrival Glasgow Coma Scale in older patients. Compared to younger patients, head injury and arrival Glasgow Coma Scale had the greatest increase in importance for older patients, while systolic blood pressure had the greatest decrease in importance.

CONCLUSIONS

Supervised machine learning identified differences in risk factors and their relative associations with poor outcomes based on age. Age-specific models may improve hospital benchmarking and identify quality improvement targets for older trauma patients.

Timing of withdrawal of life-sustaining therapy in traumatic brain injury: exploring indicators of poor prognosis in adult and geriatric populations

OBJECTIVE

The lack of objective prognostication tools for severe traumatic brain injury (TBI) causes variability in the application of withdrawal of life-saving treatment (WLST). We aimed to determine whether WLST in persons with severe TBI is associated with known indicators of poor prognosis.

METHODS

This retrospective descriptive study focused on adult (18-64 years) and geriatric (≥65 years) patients with severe TBI who were admitted between August 1, 2018 and July 31, 2021 at a Level I trauma center and subsequently underwent WLST. The data collected from the Trauma Registry and electronic health records included information regarding demographic characteristics, injury severity, clinical variables, and length of hospital stay and were used to examine the indicators of poor prognosis and WLST.

RESULTS

Among the 164 participants with TBI who met the inclusion criteria, 61.0% were geriatric, and 122 (74.4%) patients had 0 or only 1 of the poor prognostic indicators prior to WLST. The non-geriatric group had more indicators of poor prognosis than the geriatric group. Participants with fewer indicators of poor prognosis had a longer length-of-stay.

CONCLUSION

In severe TBI cases, standardized prognostication tools can help guide informed WLST decisions, particularly in geriatric patients, improving care consistency.

Predictors of Outcome After Traumatic Brain Injury: Experience at a Tertiary Healthcare Facility in Inner Mongolia, China

BACKGROUND

Traumatic brain injury (TBI) is 1 of the leading causes of death in all age groups globally. Understanding TBI causative factors and early interventions that may result in poor outcomes plays an important role in decreasing the mortality and disability associated with TBI.

METHODS

In this retrospective case-control study, we collected electronic case data from patients with TBI who visited our hospital between 2018 and 2022. We collected patient information from accident to discharge, and by using linear regression predicted factors influencing death from TBI.

RESULTS

A total of 957 patients with a mean age of 56.4 ± 17.0 years and a Glasgow Coma Scale score of 12 ± 3.7 on admission were included in the study. Of the total, 54 patients died in the hospital. Multifactorial logistic regression showed that the Glasgow Coma Scale scores, degree of injury on admission, surgical treatment, and brainstem hemorrhage all had a significant effect on the survival status of the patients at discharge.

CONCLUSIONS

Understanding the causes, patterns, and distribution of people with TBI in this study will benefit our country and others to develop policies, research, health management, and rehabilitation tools at the national level.

Concomitant Traumatic Brain Injury Delays Surgery in Patients With Traumatic Spinal Cord Injury

BACKGROUND AND OBJECTIVES

Growing evidence supports prompt surgical decompression for patients with traumatic spinal cord injury (tSCI). Rates of concomitant tSCI and traumatic brain injury (TBI) range from 10% to 30%. Concomitant TBI may delay tSCI diagnosis and surgical intervention. Little is known about real-world management of this common injury constellation that carries significant clinical consequences. This study aimed to quantify the impact of concomitant TBI on surgical timing in a national cohort of patients with tSCI.

METHODS

Patient data were obtained from the National Trauma Data Bank (2007-2016). Patients admitted for tSCI and who received surgical intervention were included. Delayed surgical intervention was defined as surgery after 24 hours of admission. Multivariable hierarchical regression models were constructed to measure the risk-adjusted association between concomitant TBI and delayed surgical intervention. Secondary outcome included favorable discharge status.

RESULTS

We identified 14 964 patients with surgically managed tSCI across 377 North American trauma centers, of whom 2444 (16.3%) had concomitant TBI and 4610 (30.8%) had central cord syndrome (CCS). The median time to surgery was 20.0 hours for patients without concomitant TBI and 24.8 hours for patients with concomitant TBI. Hierarchical regression modeling revealed that concomitant TBI was independently associated with delayed surgery in patients with tSCI (odds ratio [OR], 1.3; 95% CI, 1.1-1.6). Although CCS was associated with delayed surgery (OR, 1.5; 95% CI, 1.4-1.7), we did not observe a significant interaction between concomitant TBI and CCS. In the subset of patients with concomitant tSCI and TBI, patients with severe TBI were significantly more likely to experience a surgical delay than patients with mild TBI (OR, 1.4; 95% CI, 1.0-1.9).

CONCLUSION

Concomitant TBI delays surgical management for patients with tSCI. This effect is largest for patients with tSCI with severe TBI. These findings should serve to increase awareness of concomitant TBI and tSCI and the likelihood that this may delay time-sensitive surgery.

NCOA4-mediated ferritinophagy aggravate intestinal oxidative stress and ferroptosis after traumatic brain injury

Intestinal injury caused by traumatic brain injury (TBI) seriously affects patient prognosis; however, the underlying mechanisms are unknown. Recent studies have demonstrated that ferritinophagy-mediated ferroptosis is involved in several intestinal disorders. However, uncertainty persists regarding the role of ferritinophagy-mediated ferroptosis in the intestinal damage caused by TBI. High-throughput transcriptional sequencing was used to identify the genes that were differentially expressed in the intestine after TBI. The intestinal tissues were harvested for hematoxylin and eosin staining (HE), immunofluorescence, and western blot (WB). Lipid peroxide markers and iron content in the intestines were determined using the corresponding kits. High throughput sequencing revealed that the ferroptosis signaling pathway was enriched, demonstrating that intestinal damage caused by TBI may include ferroptosis. Chiu's score, tight junction proteins, and lipid peroxide indicators demonstrated that TBI caused an intestinal mucosal injury that persisted for several days. The ferroptosis pathway-related proteins, ferritin heavy polypeptide 1 (Fth1) and glutathione peroxidase 4 (GPX4), exhibited dynamic changes. The results indicated that lipid peroxide products were markedly increased, whereas antioxidant enzymes were markedly decreased. WB analysis demonstrated that the expression levels of nuclear receptor coactivator 4 (NCOA4), LC3II/LC3I, and p62 were markedly upregulated, whereas those of GPX4 and Fth1 were markedly downregulated. In addition, ferrostatin-1 attenuates intestinal ferroptosis and injury post-TBI in vivo. Intriguingly, 3-methyladenine (3-MA) reduces intestinal ferritin decomposition, iron accumulation, and ferroptosis after TBI. Moreover, 3-MA markedly reduced intestinal apoptosis. In conclusion, NCOA4 mediated ferritinophagy and ferroptosis play roles in intestinal oxidative stress injury post-TBI. This study provides a deeper understanding of the mechanisms underlying intestinal damage following TBI.

Epidemiology and management of traumatic brain injury in a regional Queensland Emergency Department

BACKGROUND

There is a paucity of traumatic brain injury (TBI) data in Australia in the regional and rural context. This study aimed to investigate the epidemiology, severity, causes, and management of TBI in a regional north Queensland population to plan acute care, follow up, and prevention strategies.

METHODS

This retrospective study analysed TBI patients presenting to Mackay Base Hospital Emergency Department (ED) in 2021. We identified patients using head injury SNOMED codes, and analysed patient characteristics with descriptive and multivariable regression analysis.

RESULTS

There were 1120 head injury presentations, with an overall incidence of 909 per 100,000 people per year. The median (IQR) age was 18 (6-46) years. Falls were the most common injury mechanism (52.4% of presentations). 41.1% of patients had a Computed Tomography (CT) scan, while 16.5% of patients who met criteria had post traumatic amnesia (PTA) testing. Age, being male and Indigenous status were associated with higher odds of moderate to severe TBI.

CONCLUSION

TBI incidence in this regional population was higher than metropolitan locations. CT scan was undertaken less frequently than in comparative literature, and low rates of PTA testing were undertaken. These data provide insight to assist in planning prevention and TBI-care services.

Analysis of social determinants of health and individual factors found in health equity frameworks: Applications to injury research

INTRODUCTION

This research evaluated existing health equity frameworks as they relate to social determinants of health (SDOHs) and individual factors that may impact injury outcomes and identify gaps in coverage using the Healthy People (HP) 2030 key domains.

METHODS

The study used a list of health equity frameworks sourced from previous literature. SDOHs and individual factors from each framework were identified and categorized into the Healthy People 2030 domains. Five injury topic areas were used as examples for how SDOHs and individual factors can be compared to injury topic-specific health disparities to identify health equity frameworks to apply to injury research.

RESULTS

The study identified 59 SDOHs and individual factors from the list of 33 health equity frameworks. The number of SDOHs and individual factors identified varied by Healthy People 2030 domain: Neighborhood and Built Environment contained 16 (27.1%) SDOHs and individual actors, Social and Community Context contained 22 (37.3%), Economic Stability contained 10 (16.9%), Healthcare Access and Quality contained 10 (16.9%), and Education Access and Quality contained one (1.7%). Twenty-three (39.0%) SDOHs/individual factors related to traumatic brain injury, thirteen (22.0%) related to motor vehicle crashes and suicide, 11 (18.6%) related to drowning and older adult falls. Eight frameworks (24.2%) covered all HP 2030 key domains and may be applicable to injury topics.

CONCLUSIONS

Incorporating health equity into research is critical. Health equity frameworks can provide a way to systematically incorporate health equity into research. The findings from this study may be useful to health equity research by providing a resource to injury and other public health fields.

PRACTICAL APPLICATIONS

Health equity frameworks are a practical tool to guide injury research, translation, evaluation, and program implementation. The findings from this study can be used to guide the application of health equity frameworks in injury research for specific topic areas.

Ventriculostomy Associated with Reduced Mortality in Severe Traumatic Brain Injury Compared to Parenchymal ICP Monitoring: A Propensity Score-Adjusted Analysis

BACKGROUND

There is a lack of data on whether intracranial pressure (ICP)-guided therapy with an intraparenchymal fiberoptic monitor (IPM) or an external ventricular drain (EVD) leads to superior outcomes. Our goal is to determine the relationship between ICP-guided therapy with an EVD or IPM and mortality.

METHODS

Retrospective analysis of severe traumatic brain injury cases that required IPM or EVD placement for ICP-guided therapy from January 1, 2010 to December 31, 2020. The data were obtained from the Pennsylvania Trauma Systems Foundation registry.

RESULTS

A total of 2305 patients met the inclusion criteria, with 1048 (45.5%) IPM and 1257 (54.5%) EVD placed. Inpatient mortality occurred in 337 (32.2%) and 334 (26.6%) patients in the IPM and EVD cohorts, respectively (P = 0.003). Even among those treated medically only, inpatient mortality occurred in 171 (30.8%) of those with an IPM and in 100 (23.4%) of those with an EVD (P = 0.010). Multivariable logistic regression analysis showed that older age (odds ratio [OR] 1.03, P < 0.001), lower Glasgow Coma Scale (GCS) score (OR 1.16, P < 0.001), requiring surgery (OR 1.22, P = 0.049), and an IPM (OR 1.40, P = 0.001) were significant predictors of mortality. Propensity score-adjusted analysis using inverse probability of treatment weighted method revealed a 28% decrease in mortality and a 14% decrease in length of hospital stay with EVD use when adjusting for age, sex, GCS, Injury Severity Score, surgery, and Hispanic ethnicity.

CONCLUSIONS

A significant mortality benefit was associated with the use of EVD compared to IPM. This mortality benefit was observed regardless of whether patients required surgery or not.

The unexpected paradox of geriatric traumatic brain injury outcomes: Uncovering racial and ethnic disparities

BACKGROUND

Healthcare disparities have always challenged surgical care in the US. We aimed to assess the influence of disparities on cerebral monitor placement and outcomes of geriatric TBI patients.

METHODS

Analysis of 2017-2019 ACS-TQIP. Included severe TBI patients ≥65 years. Patients who died within 24 h were excluded. Outcomes included mortality, cerebral monitors use, complications, and discharge disposition.

RESULTS

We included 208,495 patients (White = 175,941; Black = 12,194) (Hispanic = 195,769; Non-Hispanic = 12,258). On multivariable regression, White race was associated with higher mortality (aOR = 1.26; p < 0.001) and SNF/rehab discharge (aOR = 1.11; p < 0.001) and less likely to be discharged home (aOR = 0.90; p < 0.001) or to undergo cerebral monitoring (aOR = 0.77; p < 0.001) compared to Black. Non-Hispanics had higher mortality (aOR = 1.15; p = 0.013), complications (aOR = 1.26; p < 0.001), and SNF/Rehab discharge (aOR = 1.43; p < 0.001) and less likely to be discharged home (aOR = 0.69; p < 0.001) or to undergo cerebral monitoring (aOR = 0.84; p = 0.018) compared to Hispanics. Uninsured Hispanics had the lowest odds of SNF/rehab discharge (aOR = 0.18; p < 0.001).

CONCLUSIONS

This study highlights the significant racial and ethnic disparities in the outcomes of geriatric TBI patients. Further studies are needed to address the reason behind these disparities and identify potentially modifiable risk factors in the geriatric trauma population.

Clinical predictors of abnormal brain computed tomography findings in mild traumatic brain injury: A cross-sectional study

Mild traumatic brain injury (mTBI) is a health challenge world widely. Local evidence is essential to establish decision-making algorithms. According to the lack of sufficient evidence, the present study aimed to investigate the epidemiology of mTBI and predictive factors of abnormal brain computed tomography (CT) scans. The present analytical cross-sectional study was conducted between March 2021 to September 2022 on patients with the diagnosis of mTBI. Subjects were individuals who were diagnosed with mTBI in 2 Level I trauma centers located in Isfahan province, which serves as the referral center for the entire population of the province. Demographic and clinical data were recorded during a face-to-face interview. The brain CT scans were interpreted by an experienced radiologist. Data were analyzed using IBM SPSS Statistics for Mac, Version 24.0. 498 patients were enrolled in the study, consisting of 393 (78.9%) men and 65 (13.1%) children younger than 10 years old. 100 (20%) of them had abnormal CT scan findings. The mean age of participants was 33.39 ± 19.69, which was significantly higher in patients who had abnormal CT scans (P value = .002). Despite the most common mechanism in both groups being motor accidents, the rate of motor accidents was higher in patients with abnormal findings of CT scan (P value = .048). Multiple logistic regression revealed that post-traumatic vomiting (PTV) (odd ratios [OR]: 3.736), post-traumatic amnesia (PTA) (OR:3.613), raccoon eyes (OR:47.878), and Glasgow coma scale (GCS) of 15 (OR:0.11) are predictive factors for abnormal findings. The present study suggested the presence of PTV, PTA, raccoon eyes and GCS of 13 or 14 as predictive factors for abnormal findings in mTBI populations.

Patient-Centered Approaches to Cognitive Assessment in Acute TBI

PURPOSE OF THE REVIEW

The purpose of this article is to help clinicians understand how underlying pathophysiologies and medical comorbidities associated with acute traumatic brain injury (TBI) can impact assessment of cognition during the initial stages of recovery. Clinicians can use information from this article to develop assessment plans rooted in patient-centered care.

RECENT FINDINGS

The authors conducted a review of the literature related to the assessment of cognition in acute TBI, focusing on pathophysiology, medical comorbidities, and assessment approaches. Results indicated that TBI pathophysiologies associated with white and gray matter changes make many patients vulnerable to cognitive deficits. Acute comorbidities such as psychological and pain status influence cognitive abilities as well. The current approaches to cognitive assessment can be limited in many ways, though by using the patient's neuropathological profile, noted comorbidities, and other patient specific factors, clinicians can potentially improve the effectiveness of assessment.

Intersectionality of Systemic Disadvantage on Mortality and Care Following TBI

BACKGROUND

People of color (POC), especially those who also hold social identities associated with disadvantage (non-English-speaking, female, older, lower socioeconomic level), continue to be underserved in the health system, which can result in poorer care and worsened health outcomes. Most disparity research in traumatic brain injury (TBI) focuses on the impact of single factors, which misses the compounding effect of belonging to multiple historically marginalized groups.

OBJECTIVE

To examine the intersectional impact of multiple social identities vulnerable to systemic disadvantage following TBI on mortality, opioid usage during acute hospitalization, and discharge location.

METHODS

Retrospective observational design utilizing electronic health records merged with local trauma registry data. Patient groups were defined by race and ethnicity (POC or non-Hispanic White), age, sex, type of insurance, and primary language (English-speaking vs non-English-speaking). Latent class analysis (LCA) was performed to identify clusters of systemic disadvantage. Outcome measures were then assessed across latent classes and tested for differences.

RESULTS

Over an 8-year period, 10 809 admissions with TBI occurred (37% POC). LCA identified a 4-class model. Groups with more systemic disadvantage had higher rates of mortality. Classes with older populations had lower rates of opioid administration and were less likely to discharge to inpatient rehabilitation following acute care. Sensitivity analyses examining additional indicators of TBI severity demonstrated that the younger group with more systemic disadvantage had more severe TBI. Controlling for more indicators of TBI severity changed statistical significance in mortality for younger groups.

CONCLUSION

Results demonstrate significant health inequities in the mortality and access to inpatient rehabilitation following TBI along with higher rates of severe injury in younger patients with more social disadvantages. While many inequities may be related to systemic racism, our findings suggested an additive, deleterious effect for patients who belonged to multiple historically disadvantaged groups. Further research is needed to understand the role of systemic disadvantage for individuals with TBI within the healthcare system.

Racial/Ethnic Differences in Traumatic Brain Injury: Pathophysiology, Outcomes, and Future Directions

Traumatic brain injury (TBI) is a major cause of death and disability in the United States, exacting a debilitating physical, social, and financial strain. Therefore, it is crucial to examine the impact of TBI on medically underserved communities in the U.S. The purpose of the current study was to review the literature on TBI for evidence of racial/ethnic differences in the U.S. Results of the review showed significant racial/ethnic disparities in TBI outcome and several notable differences in other TBI variables. American Indian/Alaska Natives have the highest rate and number of TBI-related deaths compared with all other racial/ethnic groups; Blacks/African Americans are significantly more likely to incur a TBI from violence when compared with Non-Hispanic Whites; and minorities are significantly more likely to have worse functional outcome compared with Non-Hispanic Whites, particularly among measures of community integration. We were unable to identify any studies that looked directly at underlying racial/ethnic biological variations associated with different TBI outcomes. In the absence of studies on racial/ethnic differences in TBI pathobiology, taking an indirect approach, we looked for studies examining racial/ethnic differences in oxidative stress and inflammation outside the scope of TBI as they are known to heavily influence TBI pathobiology. The literature indicates that Blacks/African Americans have greater inflammation and oxidative stress compared with Non-Hispanic Whites. We propose that future studies investigate the possibility of racial/ethnic differences in inflammation and oxidative stress within the context of TBI to determine whether there is any relationship or impact on TBI outcome.

Systematic Review of the Diagnostic and Clinical Utility of Salivary microRNAs in Traumatic Brain Injury (TBI)

Research in traumatic brain injury (TBI) is an urgent priority, as there are currently no TBI biomarkers to assess the severity of injury, to predict outcomes, and to monitor recovery. Small non-coding RNAs (sncRNAs) including microRNAs can be measured in saliva following TBI and have been investigated as potential diagnostic markers. The aim of this systematic review was to investigate the diagnostic or prognostic ability of microRNAs extracted from saliva in human subjects. PubMed, Embase, Scopus, PsycINFO and Web of Science were searched for studies that examined the association of saliva microRNAs in TBI. Original studies of any design involving diagnostic capacity of salivary microRNAs for TBI were selected for data extraction. Nine studies met inclusion criteria, with a heterogeneous population involving athletes and hospital patients, children and adults. The studies identified a total of 188 differentially expressed microRNAs, with 30 detected in multiple studies. MicroRNAs in multiple studies involved expression change bidirectionality. The study design and methods involved significant heterogeneity that precluded meta-analysis. Early data indicates salivary microRNAs may assist with TBI diagnosis. Further research with consistent methods and larger patient populations is required to evaluate the diagnostic and prognostic potential of saliva microRNAs.

Employment probability trajectories in hispanics over the 10 years after traumatic brain injury: A model systems study

BACKGROUND: Research has found that Hispanics with traumatic brain injury (TBI) have reduced functional outcomes compared to non-Hispanic Whites, including lower probabilities of post-injury employment. However, previous studies were cross-sectional, combined racial/ethnic minority groups, and did not examine the factors that predict return to work of Hispanics longitudinally. OBJECTIVE: To determine the demographic and injury-related predictors of employment probability trajectories during the first 10 years after TBI. METHODS: 1,346 Hispanics in the TBI Model Systems Database was included. Hierarchical linear modeling was used to examine baseline predictors of employment probability trajectories across this time period. RESULTS: Employment probability demonstrated a quadratic movement over time, with an initial increase followed by a plateau or slight decrease. Hispanics with TBI had higher employment probability trajectories if they had been younger at the time of injury, spent less time in posttraumatic amnesia, had greater years of education, had been employed at the time of injury, had higher annual earnings at the time of injury, and had experienced a non-violent mechanism of injury. CONCLUSION: Culturally adapted treatment programs with a focus on early intervention incorporating vocational rehabilitation and employment programs for Hispanics with TBI who present with these risk factors are needed.

Stem Cell Therapy for Sequestration of Traumatic Brain Injury-Induced Inflammation

Traumatic brain injury (TBI) is one of the leading causes of long-term neurological disabilities in the world. TBI is a signature disease for soldiers and veterans, but also affects civilians, including adults and children. Following TBI, the brain resident and immune cells turn into a “reactive” state, characterized by the production of inflammatory mediators that contribute to the development of cognitive deficits. Other injuries to the brain, including radiation exposure, may trigger TBI-like pathology, characterized by inflammation. Currently there are no treatments to prevent or reverse the deleterious consequences of brain trauma. The recognition that TBI predisposes stem cell alterations suggests that stem cell-based therapies stand as a potential treatment for TBI. Here, we discuss the inflamed brain after TBI and radiation injury. We further review the status of stem cells in the inflamed brain and the applications of cell therapy in sequestering inflammation in TBI.

Consequences of inequity in the neurosurgical workforce: Lessons from traumatic brain injury

Women and minorities leave or fail to advance in the neurosurgical workforce more frequently than white men at all levels from residency to academia. The consequences of this inequity are most profound in fields such as traumatic brain injury (TBI), which lacks objective measures. We evaluated published articles on TBI clinical research and found that TBI primary investigators or corresponding authors were 86·5% White and 59·5% male. First authors from the resulting publications were 92.6% white. Most study participants were male (68%). 64·4% of NIH-funded TBI clinical trials did not report or recruit any black subjects and this number was even higher for other races and the Hispanic ethnicity. We propose several measures for mitigation of the consequences of the inequitable workforce in traumatic brain injury that could potentially contribute to more equitable outcomes. The most immediately feasible of these is validation and establishment of objective measures for triage and prognostication that are less susceptible to bias than current protocols. We call for incorporation of gender and race neutral metrics for TBI evaluation to standardize classification of injury. We offer insights into how socioeconomic factors contribute to increased death rates from women and minority groups. We propose the need to study how these disparities are caused by unfair health insurance reimbursement practices. Surgical and clinical research inequities have dire consequences, and until those inequities can be corrected, mitigation of those consequences requires system wide change.

Birth rate after major trauma in fertile-aged women: a nationwide population-based cohort study in Finland

Background

To date, only a few small studies have assessed the effects of major orthopedic traumas on the subsequent birth rate in fertile-aged woman. We assessed the incidences of traumatic brain injury (TBI) and fractures of the spine, pelvis, and hip or thigh and evaluated their association with the birth rate in fertile-aged woman.

Methods

In this retrospective register-based nationwide cohort study, data on all fertile-aged (15–44 years of age) women who sustained a TBI or fracture of the spine, pelvis, hip or thigh between 1998 and 2013 were retrieved from the Care Register for Health Care. A total of 22,780 women were included in TBI group, 3627 in spine fracture group, 1820 in pelvic fracture group, and 1769 in hip or thigh fracture group. The data were subsequently combined with data from the National Medical Birth Register. We used Cox regression model to analyze the hazard for a woman to give birth during 5-year follow-up starting from a major trauma. Women with wrist fractures (4957 women) formed a reference group. Results are reported as hazard ratios (HR) with 95% confidence intervals (CI).

Results

During 5-year follow-up after major trauma, 4324 (19.0%) women in the TBI group, 652 (18.0%) in the spine fracture group, 301 (16.5%) in the pelvic fracture group, 220 (12.4%) in the hip or thigh fracture group, and 925 (18.7%) in the wrist fracture group gave birth. The cumulative birth rate was lower in the hip or thigh fracture group in women aged 15–24 years (HR 0.72, CI 0.58–0.88) and 15–34 years (HR 0.65, CI 0.52–0.82). Women with pelvic fracture aged 25–34 years also had a lower cumulative birth rate (HR 0.79, CI 0.64–0.97). For spine fractures and TBIs, no reduction in cumulative birth rate was observed. Vaginal delivery was the primary mode of delivery in each trauma group. However, women with pelvic fractures had higher rate of cesarean section (23.9%), when compared to other trauma groups.

Conclusions

Our results suggest that women with thigh, hip, or pelvic fractures had a lower birth rate in 5-year follow-up. Information gained from this study will be important in clinical decision making when women with previous major trauma are considering becoming pregnant and giving birth.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12978-022-01387-w.

To date, only a few small studies have assessed the effects of major orthopedic traumas on the subsequent birth rate in fertile-aged woman. We assessed the incidences of traumatic brain injury (TBI) and fractures of the spine, pelvis, and hip or thigh and evaluated their association with the birth rate in fertile-aged woman.

Data on all fertile-aged (15–44 years of age) women who sustained a TBI or fracture of the spine, pelvis, hip or thigh between 1998 and 2013 were retrieved from the Care Register for Health Care and the data was then subsequently combined with data from the National Medical Birth Register.

A total of 22,780 women were included in TBI group, 3627 in spine fracture group, 1820 in pelvic fracture group, 1769 in hip or thigh fracture group, and 4957 in wrist fracture group, which was used as control group. Of these, 4324 (19.0%) women in the TBI group, 652 (18.0%) in the spine fracture group, 301 (16.5%) in the pelvic fracture group, 220 (12.4%) in the hip or thigh fracture group, and 925 (18.7%) in the wrist fracture group gave birth during the 5-year follow-up.

Our results suggest that women with thigh, hip, or pelvic fractures had a lower birth rate in 5-year follow-up. Information gained from this study will be important in clinical decision making when women with previous major trauma are considering becoming pregnant and giving birth.

Pro-resolving lipid mediators in traumatic brain injury: emerging concepts and translational approach

Despite the high mortality and disability associated with traumatic brain injury (TBI), effective pharmacologic treatments are lacking. Of emerging interest, bioactive lipids, including specialized pro-resolving lipid mediators of inflammation (SPMs), act to attenuate inflammation after injury resolution. The SPM lipidome may serve as a biomarker of disease and predictor of clinical outcomes, and the use of exogenous SPM administration represents a novel therapeutic strategy for TBI. This review article provides a comprehensive discussion of the current pre-clinical and clinical literature supporting the importance of bioactive lipids, including SPMs, in TBI recovery. We additionally propose a translational approach to answer important clinical and scientific questions to advance the study of bioactive lipids and SPMs towards clinical research. Given the morbidity and mortality associated with TBI with limited treatment options, novel approaches are needed.

Pregnancy and delivery after traumatic brain injury: a nationwide population-based cohort study in Finland

OBJECTIVES

Few studies have assessed pregnancies and deliveries after traumatic brain injury (TBI). We report the incidence of TBIs and TBI-related surgeries in fertile-aged females and investigate subsequent pregnancy outcomes.

METHODS

All fertile-aged (15-49) women with TBI diagnosis during our study period (1998-2018) were retrieved from the Care Register for Health Care and combined with data from the National Medical Birth Register. TBIs were categorized into three subgroups based on the length of the hospitalization period and the need for neurosurgery. Logistic regression was used to analyze preterm deliveries, cesarean sections (CS) and neonatal health. Results are reported as adjusted odds ratios (AOR) with 95% confidence intervals (CI).

RESULTS

The incidence of TBIs increased from 103 per 100 000 person-years in 1998 to 257 per 100 000 (149.5%) in 2018. The incidence of TBI-related surgeries remained stable during our study period. The rate of preterm deliveries was 5.6% in the TBI group and 3.0% in the control group (AOR 1.23, CI 1.17-1.28). The CS rate in the TBI group was 19.2% and 15.9% in the control group (AOR 1.23, CI 1.18-1.29). The use of labor analgesia was higher among women with previous TBI. The rate of neonates requiring intensive care in the TBI group was 13.1% and 9.9% in the control group (AOR 1.30, CI 1.24-1.37).

CONCLUSION

The incidence of TBI hospitalizations increased during our study period, whereas the number of surgically treated TBI remained stable. Preterm deliveries, CS, instrumental vaginal deliveries and labor analgesia were more prevalent in women with previous TBI. Furthermore, more neonates required intensive care in this group. Therefore, a history of TBI should be acknowledged as a possible factor affecting the delivery and health of the neonate.

Acute Cortisol Profile Associations With Cognitive Impairment After Severe Traumatic Brain Injury

BACKGROUND

Cognitive impairments commonly occur after traumatic brain injury (TBI) and affect daily functioning. Cortisol levels, which are elevated during acute hospitalization for most individuals after severe TBI, can influence cognition, but this association has not been studied previously in TBI.

OBJECTIVE

We hypothesized that serum and cerebral spinal fluid (CSF) cortisol trajectories over days 0-5 post-injury are associated with cognition 6-month post-injury.

METHODS

We examined 94 participants with severe TBI, collected acute serum and/or CSF samples over days 0-5 post-injury, and compared cortisol levels to those in 17 healthy controls. N = 88 participants had serum, and n = 84 had CSF samples available for cortisol measurement and had neuropsychological testing 6 months post-injury. Group based trajectory analysis (TRAJ) was used to generate temporal serum and CSF cortisol profiles which were examined for associations with neuropsychological performance. We used linear regression to examine relationships between cortisol TRAJ groups and both overall and domain-specific cognition.

RESULTS

TRAJ analysis identified a high group and a decliner group for serum and a high group and low group for CSF cortisol. Multivariable analysis showed serum cortisol TRAJ group was associated with overall cognitive composites scores (P = .024) and with executive function (P = .039) and verbal fluency (P = .029) domain scores. CSF cortisol TRAJ group was associated with overall cognitive composite scores (P = .021) and domain scores for executive function (P = .041), verbal fluency (P = .031), and attention (P = .034).

CONCLUSIONS

High acute cortisol trajectories are associated with poorer cognition 6 months post-TBI.

Biological Connection of Psychological Stress and Polytrauma under Intensive Care: The Role of Oxytocin and Hydrogen Sulfide

This paper explored the potential mediating role of hydrogen sulfide (H2S) and the oxytocin (OT) systems in hemorrhagic shock (HS) and/or traumatic brain injury (TBI). Morbidity and mortality after trauma mainly depend on the presence of HS and/or TBI. Rapid "repayment of the O2 debt" and prevention of brain tissue hypoxia are cornerstones of the management of both HS and TBI. Restoring tissue perfusion, however, generates an ischemia/reperfusion (I/R) injury due to the formation of reactive oxygen (ROS) and nitrogen (RNS) species. Moreover, pre-existing-medical-conditions (PEMC's) can aggravate the occurrence and severity of complications after trauma. In addition to the "classic" chronic diseases (of cardiovascular or metabolic origin), there is growing awareness of psychological PEMC's, e.g., early life stress (ELS) increases the predisposition to develop post-traumatic-stress-disorder (PTSD) and trauma patients with TBI show a significantly higher incidence of PTSD than patients without TBI. In fact, ELS is known to contribute to the developmental origins of cardiovascular disease. The neurotransmitter H2S is not only essential for the neuroendocrine stress response, but is also a promising therapeutic target in the prevention of chronic diseases induced by ELS. The neuroendocrine hormone OT has fundamental importance for brain development and social behavior, and, thus, is implicated in resilience or vulnerability to traumatic events. OT and H2S have been shown to interact in physical and psychological trauma and could, thus, be therapeutic targets to mitigate the acute post-traumatic effects of chronic PEMC's. OT and H2S both share anti-inflammatory, anti-oxidant, and vasoactive properties; through the reperfusion injury salvage kinase (RISK) pathway, where their signaling mechanisms converge, they act via the regulation of nitric oxide (NO).

Utilization of computerized tomography and magnetic resonance imaging for diagnosis of traumatic C-Spine injuries at a level 1 trauma center: A retrospective Cohort analysis

Background

Computerized tomography (CT) is a common imaging modality for trauma patients, but there is debate regarding the role of magnetic resonance imaging (MRI) in cervical (C)-spine clearance. We aim to investigate the utilization of CT and MRI imaging in traumatic C-spine clearance and associated outcomes on patients who undergo both imaging modalities.

Methods

A 4-year retrospective review was performed to evaluate the trauma patient imaging algorithm at our institution. The algorithm required CT as a screening examination for traumatic injury patients who are unexaminable because of distracting injury, altered mental status, an abnormal neurological examination, and/or central neck pain. MRI was performed after CT in patients with C-spine injuries identified on CT, those who remained unexaminable, had an abnormal neurological examination, or experienced persistent central neck tenderness. Univariate analyses and adjusted multivariate logistic regression were performed with significance defined as p < 0.05.

Results

805 patients were analyzed. Compared to MRI, CT had a sensitivity of 50.2%, specificity of 76.6%, positive predictive value of 69.7%, and negative predictive value of 59.0% in detecting C-spine injuries. CT and MRI differed significantly in their ability to detect C-spine soft tissue injuries and C1 vertebral fractures (p < 0.05).

Conclusions

MRI is more capable of detecting soft tissue injuries whereas CT is superior in detecting vertebral fractures. Our findings support the need to utilize CT and MRI in conjunction to detect both bony and soft tissue C-spine injuries in traumatically injured patients, who are either unexaminable, have an abnormal neurologic examination, or ongoing central neck tenderness.

Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study

Background: The inter- and intrarater variability of conventional computed tomography (CT) classification systems for evaluating the extent of ischemic-edematous insult following traumatic brain injury (TBI) may hinder the robustness of TBI prognostic models. Objective: This study aimed to employ fully automated quantitative densitometric CT parameters and a cutting-edge machine learning algorithm to construct a robust prognostic model for pediatric TBI. Methods: Fifty-eight pediatric patients with TBI who underwent brain CT were retrospectively analyzed. Intracranial densitometric information was derived from the supratentorial region as a distribution representing the proportion of Hounsfield units. Furthermore, a machine learning-based prognostic model based on gradient boosting (i.e., CatBoost) was constructed with leave-one-out cross-validation. At discharge, the outcome was assessed dichotomously with the Glasgow Outcome Scale (favorability: 1-3 vs. 4-5). In-hospital mortality, length of stay (>1 week), and need for surgery were further evaluated as alternative TBI outcome measures. Results: Densitometric parameters indicating reduced brain density due to subtle global ischemic changes were significantly different among the TBI outcome groups, except for need for surgery. The skewed intracranial densitometry of the unfavorable outcome became more distinguishable in the follow-up CT within 48 h. The prognostic model augmented by intracranial densitometric information achieved adequate AUCs for various outcome measures [favorability = 0.83 (95% CI: 0.72-0.94), in-hospital mortality = 0.91 (95% CI: 0.82-1.00), length of stay = 0.83 (95% CI: 0.72-0.94), and need for surgery = 0.71 (95% CI: 0.56-0.86)], and this model showed enhanced performance compared to the conventional CRASH-CT model. Conclusion: Densitometric parameters indicative of global ischemic changes during the acute phase of TBI are predictive of a worse outcome in pediatric patients. The robustness and predictive capacity of conventional TBI prognostic models might be significantly enhanced by incorporating densitometric parameters and machine learning techniques.