The Impact of Drug and Alcohol Intoxication on Glasgow Coma Scale Assessment in Patients with Traumatic Brain Injury

Predictors of poor outcomes in patients with traumatic brain injury at the University Teaching Hospital of Bamenda, Cameroon

OBJECTIVE

This study aimed to determine the various predictors associated to poor outcomes in patients with traumatic brain injury at the University Teaching Hospital of Bamenda, Cameroon.

METHODS

This descriptive and observational study was conducted at the University Teaching Hospital of Bamenda, Cameroon from February 1st 2023 to May 31st 2023. We included all patients managed for TBI in the named hospital within the study period who gave their consent. A prospective inclusion of data was done using a pre-established technical form aimed at collecting sociodemographic information, mechanism of TBI, clinical/paraclinical parameters and Glasgow Outcome Score (GOS) at one month follow-up. Patients with GOS 1, 2, 3 and 4 were considered as having a poor outcome and good outcome for GOS 5. Data collected were entered and analysed using the SPSS statistical software version 25.0.

RESULTS

We found 93 patients who were eligible as per selection criteria. Mean age at presentation was 34.8 ± 15.0 years and there was a male preponderance (87.1 %). Road traffic accident (72 %) was the most common cause of injury followed by assault (14 %) and falls (9.9 %). The overall mortality was 16.1 % and 76.3 % had a good recovery at one month. Poor outcome (GOS<4 at one month) on univariate analysis was associated with delay to treatment > 1 day (p = 0.007, OR = 4.603), GCS less than or equal to 8 (p = 0.000, OR = 3.948), pupillary abnormalities (p = 0.000, OR = 21.630), secondary LOC (p = 0.026, OR = 8.538), intracerebral hematoma (p = 0.036, OR = 3.600), use of diuretics (p = 0.000, OR = 12.143), oxygen saturation less than 90 % (p = 0.026, OR = 5.538) and use of oxygen (p = 0.001, OR = 9.940) in patients with TBI. However, on multivariate analysis, only the GCS (p = 0.044, OR = 12.152) and delay to treatment (p = 0.024, OR = 18.349) retained statistical significance as independent predictors of poor outcomes.

CONCLUSION

Our study suggests that numerous clinical/paraclinical factors such as GCS and patient-related factors like delay in seeking medical care negatively impact outcomes in TBI. This stress the need to carry out adequate clinical evaluation and good therapeutic care by physicians as well as population sensitization in order to reduce the mortality and morbidity related to TBI. Further prospective studies on larger sample size and a longer study period on outcome evaluation are warranted to provide more statistical power to our observations.

Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling

BACKGROUND

Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and deaths and are particularly susceptible to fall-induced TBIs. The combination of increased frailty and susceptibility to clinical decline creates a significant ongoing challenge in the management of geriatric TBI. As the population ages and co-existing medical conditions complexify, so does the need to improve the quality of care for this population. Utilizing early hospital admission variables, this study will create and validate a multinomial decision tree that predicts the discharge disposition of older patients with fall-related TBI.

METHODS

From the National Trauma Data Bank, we retrospectively analyzed 11,977 older patients with a fall-related TBI (2017-2021). Clinical variables included Glasgow Coma Scale (GCS) score, intracranial pressure monitor use, venous thromboembolism (VTE) prophylaxis, and initial vital signs. Outcomes included hospital discharge disposition re-categorized into home, care facility, or deceased. Data were split into two sets, where 80% developed a decision tree, and 20% tested predictive performance. We employed a conditional inference tree algorithm with bootstrap (B = 100) and grid search options to grow the decision tree and measure discrimination ability using the area under the curve (AUC) and calibration plots.

RESULTS

Our decision tree used seven admission variables to predict the discharge disposition of older TBI patients. Significant non-modifiable variables included total GCS and injury severity scores, while VTE prophylaxis type was the most important interventional variable. Patients who did not receive VTE prophylaxis treatment had a higher probability of death. The predictive performance of the tree in terms of AUC value (95% confidence intervals) in the training cohort for death, care, and home were 0.66 (0.65-0.67), 0.75 (0.73-0.76), and 0.77 (0.76-0.79), respectively. In the test cohort, the values were 0.64 (0.62-0.67), 0.75 (0.72-0.77), and 0.77 (0.73-0.79).

CONCLUSIONS

We have developed and internally validated a multinomial decision tree to predict the discharge destination of older patients with TBI. This tree could serve as a decision support tool for caregivers to manage older patients better and inform decision-making. However, the tree must be externally validated using prospective data to ascertain its predictive and clinical importance.

Limitations of the Glasgow Coma Scale: Challenges and Considerations

Traumatic brain injury (TBI) is a prominent cause of long-term disability and death in the United States. The Glasgow Coma Scale (GCS) plays a crucial role in managing TBI by providing a standardized method for assessing severity, monitoring progression, guiding treatment decisions, predicting outcomes, facilitating communication, and supporting research and quality improvement efforts. The scale offers a practical approach to assessing the impairment of consciousness in response to specific stimuli. However, to date, there is a paucity of literature discussing the limitations of the GCS. In this narrative review, we have analyzed seven studies published between 2009 and 2024 in hopes of highlighting some of the limitations, such as potential subjectivity in scoring, inability to assess certain brainstem reflexes, and the need for supplementary assessments for specific neurological conditions. After reviewing literature from the past 15 years, several limitations of the GCS become apparent, including its failure to incorporate brainstem reflexes with limitations arising due to sedation and intubation of the patient. Moreover, the GCS consists of three sub-scales that are summed and assumed to carry equal weight. This can result in a loss of information as it is possible to achieve identical GCS scores through various combinations. Awareness of the limitations of the GCS can be crucial for clinicians when making decisions in specific scenarios, while also encouraging consideration of potential improvements to the scale.

Pre-injury narcotic drug use in isolated severe traumatic brain injury: effect on outcomes

PURPOSE

The aim of this study was to explore the association between pre-injury narcotic drug use (opioids, methadone, and/or oxycodone) and outcomes in isolated severe traumatic brain injury (TBI) patients.

METHODS

ACS TQIP study included adult trauma patients (≥ 16 years) with complete drug and alcohol screening. Isolated severe TBI was defined as head trauma with AIS 3-5 and without significant extracranial trauma. Exact matching was used to compare patients with isolated pre-injury narcotic drug use to those with no illicit drug or alcohol use. Patients were matched 1:1 based on the following matching criteria: age, gender, mechanism of injury, Injury Severity Score, systolic blood pressure, head AIS, and comorbidities.

RESULTS

Of 1,846,630 patients, 141,058 had isolated severe head injuries with complete drug and alcohol screenings. After exact matching, 1,560 patients in each group were analyzed. There were no significant differences in hospital mortality, craniectomy rates, complication rates, or length of hospital stay. Patients that tested positive for narcotics had lower rates of mechanical ventilation (16.5% vs. 25.3%, p < 0.01) and shorter ICU stays [3 (2-4) days vs. 3 (2-6) days; p < 0.01].

CONCLUSION

Pre-injury narcotic drug use in isolated severe TBI is not associates with adverse outcomes. Further research is needed to understand the biochemical and physiological effects of narcotic drugs on TBI outcomes.

Prevalence of indications of alcohol and drug use among patients treated for injurious falls by Emergency Medical Services in the USA

OBJECTIVE

The association between alcohol consumption and increased injuries from falls is well established, but there is a lack of data on the prevalence of substance use by fall type. This study aims to describe the distribution of alcohol and drug involvement in injurious falls.

METHODS

Using the 2019 National Emergency Medical Services (EMS) Information System data set, we identified 1 854 909 patients injured from falls requiring an EMS response and determined the fall location (eg, indoors or on street/sidewalk). We analysed data on the EMS clinician's notation of alcohol or drug involvement and Glasgow Coma Scale.

RESULTS

Overall, for 7.4% of injurious falls, there was a notation of substance use: 6.5% for alcohol alone, 0.6% for drugs and 0.3% for alcohol and drugs. 21.2% of falls that occurred on a street or sidewalk had a notation of substance use. Substance use prevalence was highest, at 30.3%, in the age group 21-64 years, for falls occurring on streets and sidewalks, without syncope or heat illness as contributing factors. Reported substance use involvement was more frequent for men compared with women for each location type. Glasgow Coma Scale scores indicative of moderate or severe trauma were more prevalent among falls involving alcohol and/or drugs.

CONCLUSIONS

Overall, one in five injurious falls on streets and sidewalks and requiring EMS attention involved substance use, and these numbers likely underestimate the true burden. As cities seek to expand nightlife districts, design strategies to protect pedestrians from falls should be enacted.

Intoxication and Glasgow coma scale scores in patients with head trauma

INTRODUCTION

The Glasgow Coma Scale (GCS) is an assessment tool commonly used by emergency department (ED) clinicians to objectively describe level of consciousness, especially in trauma patients. This study aims to assess the effect of drug and alcohol intoxication on GCS scores in cases of traumatic head injury.

METHODS

In this retrospective chart review study, data were extracted from The Pennsylvania Trauma Systems Foundation Data Base Collection System. Eligible subjects included trauma patients aged 18 years and older, with head trauma, who presented between January 2019 and August 2023. Subjects were matched to controls who did not test positive for drugs or alcohol, matched by Injury Severity Score (ISS) category.

RESULTS

Among 1088 subjects, the mean age was 63 (95% CI 62-64). The mean Injury Severity Score was 21 (95% CI 21-22). The median GCS among all subjects was 14 (IQR 6-15). Cases with alcohol or drug use were matched to controls without alcohol or drug use, and were matched by categories of Injury Severity Score. Cases with alcohol or drug use had lower GCS (median 13; IQR 3-15), compared to cases without alcohol or drug use (median 15; IQR 13-15) (p < 0.0001, Wilcoxon Rank Sum Test).

CONCLUSIONS

Among patients with head trauma, intoxicated patients had statistically significant lower GCS scores as compared to matched patients with similar Injury Severity Scores.

Confounding factors impacting the Glasgow coma score: a literature review

BACKGROUND

The Glasgow coma score (GCS) is a clinical tool used to measure level of consciousness in traumatic brain injury and other settings. Despite its widespread use, there are many inaccuracies in its reporting. One source of inaccuracy is confounding factors which affect consciousness as well as each sub-score of the GCS. The purpose of this article was to create a comprehensive list of confounding factors in order to improve the accuracy of the GCS and ultimately improve decision-making.

METHODS

An English language literature search was conducted discussing GCS and multiple other keywords. Ultimately, 64 out of 3972 articles were included for further analysis.

RESULTS

A multitude of confounding factors were identified which may affect consciousness or GCS sub-scores including the eye exam, motor exam and the verbal response.

CONCLUSIONS

An up-to-date comprehensive list of confounding factors has been created that may be used to aide in GCS recording in hopes of improving its accuracy and utility.

Retrospective investigation of pressure injury in COVID-19 patients followed on invasive mechanical ventilator support

AIM

In this study, we aimed to investigate pressure injury (PI) and its associated factors in COVID-19 patients receiving invasive mechanical ventilation (IMV).

METHODS

This was designed as a retrospective, descriptive and correlational study. In this study, there was no sample selection, and the data were collected by reviewing the files of 438 patients who had been followed up on IMV in the intensive care unit (ICU) with a diagnosis of COVID-19 between April 30, 2020, and April 30, 2022. The collected data were analyzed using descriptive statistics in the Statistical Package for the Social Sciences (SPSS) program.

RESULTS

A total of 305 pressure injuries occurred in 36.3% of 438 patients receiving IMV. It was found that the length of IMV stay of the patients accelerated the occurrence of PI and that the length of stay in the intensive care unit, albumin and hemoglobin levels, Braden Pressure Sore Risk Assessment Score, APACHE-II value, nutritional status, glutamine supplementation, and vasopressor use were found to be significantly correlated with the incidence of PI (p < 0.05).

CONCLUSIONS

Patients with COVID-19 who were followed up on IMV had a high incidence of PI, and prolonged ICU stays and intubations duration as well as low albumin and hemoglobin levels increased the occurrence of PI. Hence, it is recommended that the PI risk levels of COVID-19 patients followed up on IMV should be evaluated frequently and nursing interventions should be implemented according to the evaluations.

Long-Term Follow-Up of Critically Ill Patients With Traumatic Brain Injury: From Intensive Care Parameters to Patient and Caregiver-Reported Outcome

Abstract Traumatic brain injury (TBI) is associated with a high social and financial burden due to persisting (severe) disabilities. The consequences of TBI after intensive care unit (ICU) admission are generally measured with global disability screeners such as the Glasgow Outcome Scale-Extended (GOSE), which may lack precision. To improve outcome measurement after brain injury, a comprehensive clinical outcome assessment tool called the Minimal Dataset for Acquired Brain Injury (MDS-ABI) was recently developed. The MDS-ABI covers 12 life domains (demographics, injury characteristics, comorbidity, cognitive functioning, emotional functioning, energy, mobility, self-care, communication, participation, social support, and quality of life), as well as informal caregiver capacity and strain. In this cross-sectional study, we used the MDS-ABI among formerly ICU admitted patients with TBI to explore the relationship between dichotomized severity of TBI and long-term outcome. Our objectives were to: 1) summarize demographics, clinical characteristics, and long-term outcomes of patients and their informal caregivers, and 2) compare differences between long-term outcomes in patients with mild-moderate TBI and severe TBI based on Glasgow Coma Scale (GCS) scores at admission. Participants were former patients of a Dutch university hospital (total n = 52; mild-moderate TBI n = 23; severe TBI n = 29) and their informal caregivers (n = 45). Hospital records were evaluated, and the MDS-ABI was administered during a home visit. On average 3.2 years after their TBI, 62% of the patients were cognitively impaired, 62% reported elevated fatigue, and 69% experienced restrictions in ≥2 participation domains (most frequently work or education and going out). Informal caregivers generally felt competent to provide necessary care (81%), but 31% experienced a disproportionate caregiver burden. All but four patients lived at home independently, often together with their informal caregiver (81%). Although the mild-moderate TBI group and the severe TBI group had significantly different clinical trajectories, there were no persisting differences between the groups for patient or caregiver outcomes at follow-up. As a large proportion of the patients experienced long-lasting consequences beyond global disability or independent living, clinicians should implement a multi-domain outcome set such as the MDS-AB to follow up on their patients.

[Finite-element simulation of ethanol diffusion in nonencapsulated subdural hematomas]

OBJECTIVE

Determination of the diffusion regularities of ethanol in nonencapsulated subdural hematomas.

MATERIAL AND METHODS

The finite-element modelling of the ethanol's concentration field for the non-lethal nonencapsulated subdural hematoma using the ELCUT 6.5 application was carried out.

RESULTS

A two-dimensional finite-element concentration field model of a low volume subdural hematoma, taking into account the different boundary conditions of ethanol diffusion, has been developed. It has been proven that the diffusion rate of ethanol is determined by the impact of its initial concentration field, the level of ethanolemia, the geometry of hematoma, as well as the diffusion properties of bounding with hematoma tissues. The possibility of ethanol diffusion in the content of a nonalcoholic hematoma from bounding tissues was shown. The central region of hematoma has been found to have the highest ethanol concentration stability. If the diffusion's boundary conditions are not identical, the indicated area shifts to the surface of hematoma with a lower density of diffusion's flow.

CONCLUSION

It is recommended to interpret the postmortem concentration of ethanol in the most diffusion-resistant region of hematoma as the minimum limit of ethanolemia during the hematoma formation.

Prevalence of use and impairment from drugs and alcohol among trauma patients: A national prospective observational study

BACKGROUND

Being under the influence of psychoactive substances increases the risk of involvement in and dying from a traumatic event. The study is a prospective population-based observational study that aims to determine the prevalence of use and likely impairment from psychoactive substances among patients with suspected severe traumatic injury.

METHOD

This study was conducted at 35 of 38 Norwegian trauma hospitals from 1 March 2019 to 29 February 2020. All trauma admissions for patients aged ≥ 16 years admitted via trauma team activation during the study period were eligible for inclusion. Blood samples collected on admission were analysed for alcohol, benzodiazepines, benzodiazepine-like hypnotics (Z-drugs), opioids, stimulants, and cannabis (tetrahydrocannabinol).

RESULTS

Of the 4878 trauma admissions included, psychoactive substances were detected in 1714 (35 %) and in 771 (45 %) of these, a combination of two or more psychoactive substances was detected. Regarding the level of impairment, 1373 (28 %) admissions revealed a concentration of one or more psychoactive substances indicating likely impairment, and 1052 (22 %) highly impairment. Alcohol was found in 1009 (21 %) admissions, benzodiazepines and Z-drugs in 613 (13 %), opioids in 467 (10 %), cannabis in 352 (7 %), and stimulants in 371 (8 %). Men aged 27-43 years and patients with violence-related trauma had the highest prevalence of psychoactive substance use with respectively 424 (50 %) and 275 (80 %) testing positive for one or more compounds.

CONCLUSION

The results revealed psychoactive substances in 35 % of trauma admissions, 80 % of which were likely impaired at the time of traumatic injury. A combination of several psychoactive substances was common, and younger males and patients with violence-related injuries were most often impaired. Injury prevention strategies should focus on high-risk groups and involve the prescription of controlled substances. We should consider toxicological screening in trauma admissions and incorporation of toxicological data into trauma registries.

Pediatric Traumatic Brain Injury: Impact on the Developing Brain

Traumatic brain injury (TBI) is a serious public health concern impacting millions of children and adolescents each year. Experiencing a brain injury during key critical periods of brain development can affect the normal formation of brain networks that are responsible for a range of complex neurocognitive outcomes. In addition, there are multiple pre- and postinjury factors that influence the trajectory of recovery and outcomes. In this review, we will focus on the current state of the literature within pediatric TBI; systematically review the available research on developmental aspects of TBI in children, focusing on the pathophysiology of the injury and its impact on the developing brain; and highlight knowledge gaps for further exploration.

Biases in the collection of blood alcohol data for adult major trauma patients in Victoria, Australia

BACKGROUND

In-hospital alcohol testing provides an opportunity to implement prevention strategies for patients with high risk of experiencing repeated alcohol-related injuries. However, barriers to alcohol testing in emergency settings can prevent patients from being tested. In this study, we aimed to understand potential biases in current data on the completion of blood alcohol tests for major trauma patients at hospitals in Victoria, Australia.

METHODS

Victorian State Trauma Registry data on all adult major trauma patients from 1 January 2018 to 31 December 2021 were used. Characteristics associated with having a blood alcohol test recorded in the registry were assessed using logistic regression models.

RESULTS

This study included 14 221 major trauma patients, of which 4563 (32.1%) had a blood alcohol test recorded. Having a blood alcohol test completed was significantly associated with age, socioeconomic disadvantage level, preferred language, having pre-existing mental health or substance use conditions, smoking status, presenting during times associated with heavy community alcohol consumption, injury cause and intent, and Glasgow Coma Scale scores (p<0.05). Restricting analyses to patients from a trauma centre where blood alcohol testing was part of routine clinical care mitigated most biases. However, relative to patients injured while driving a motor vehicle/motorcycle, lower odds of testing were still observed for patients with injuries from flames/scalds/contact burns (adjusted OR (aOR)=0.33, 95% CI 0.18 to 0.61) and low falls (aOR=0.17, 95% CI 0.12 to 0.25). Higher odds of testing were associated with pre-existing mental health (aOR=1.39, 95% CI 1.02 to 1.89) or substance use conditions (aOR=2.33, 95% CI to 1.47-3.70), and living in a more disadvantaged area (most disadvantaged quintile relative to least disadvantaged quintile: aOR=2.30, 95% CI 1.52 to 3.48).

CONCLUSION

Biases in the collection of blood alcohol data likely impact the surveillance of alcohol-related injuries. Routine alcohol testing after major trauma is needed to accurately inform epidemiology and the subsequent implementation of strategies for reducing alcohol-related injuries.

Neuroimaging for mild traumatic brain injury in children: cross-sectional study using national claims data

BACKGROUND

Current guidelines recommend healthcare professionals avoid routine use of neuroimaging for diagnosing mild traumatic brain injury (mTBI).

OBJECTIVE

This study aimed to examine current use of CT and MRI among children and young adult patients with mTBI and factors that increase likelihood of neuroimaging in this population.

MATERIALS AND METHODS

Data were analyzed using the 2019 MarketScan commercial claims and encounters database for the commercially insured population for both inpatient and outpatient claims. Descriptive statistics and logistic regression models for patients  ≤24 years of age who received an ICD-10-CM code indicative of a possible mTBI were analyzed.

RESULTS

Neuroimaging was performed in 16.9% (CT; 95% CI=16.7-17.1) and 0.9% (MRI; 95% CI=0.8-0.9) of mTBI outpatient visits (including emergency department visits) among children (≤18 years old). Neuroimaging was performed in a higher percentage of outpatient visits for patients 19-24 years old (CT=47.1% [95% CI=46.5-47.6] and MRI=1.7% [95% CI=1.5-1.8]), and children aged 15-18 years old (CT=20.9% [95% CI=20.5-21.2] and MRI=1.4% [95% CI=1.3-1.5]). Outpatient visits for males were 1.22 (95% CI=1.10-1.25) times more likely to include CT compared to females, while there were no differences by sex for MRI or among inpatient stays. Urban residents, as compared to rural, were less likely to get CT in outpatient settings (adjusted odds ratio [aOR]=0.55, 95% CI=0.53-0.57). Rural residents demonstrated a larger proportion of inpatient admissions that had a CT.

CONCLUSIONS

Despite recommendations to avoid routine use of neuroimaging for mTBI, neuroimaging remained common practice in 2019.

Validity between self-report and biochemical testing of cannabis and drugs among patients with traumatic injury: brief report

Background

The relationship between drug use and traumatic injury is well documented, yet only a small proportion of patients are biochemically tested for cannabis and other substances. The study objective was to determine whether patient self-report can be used as a proxy for biochemical drug testing following traumatic injury.

Methods

This study was a secondary analysis that included 320 patients admitted to four level I trauma centers in Colorado and Texas, primarily involved in motor vehicle crash (89%). If performed, biochemical testing was collected via urine toxicology screen (“tox screen”) for cannabis, amphetamines, barbiturates, cocaine, opiates, PCP, and benzodiazepines. All patients were screened for self-reported current drug use, which was evaluated for any drug and specifically for cannabis use. Analyses used to compare results of self-reported drug use and tox screen included sensitivity, specificity, positive, and negative predictive values, and percent agreement.

Results

Among 320 patients, 23% (n = 75) self-reported drug use; cannabis was the most frequently reported drug (n = 63). A tox screen was performed in 59% of patients (n = 190); the proportion of patients who had a tox screen was similar for those self-reporting drug use (60.0%) to those who denied using drugs (59.2%), p = 0.90. Among patients who had a tox screen performed, 18% (n = 35) tested positive for any drug, 12% (n = 22) tested positive for THC, and 7% (n = 13) tested positive for opiates. The percent agreement was 80% for any drug and 81% for cannabis. The specificity was 84–85%, indicating a high likelihood that a patient will not have a positive tox screen if they do not report using drugs. Negative predictive values were 90–95%, indicating a negative self-report correctly identified nearly all patients testing negative on tox screen. Sensitivity was only 60% and positive predictive values were 30–47% for cannabis and drugs, respectively.

Conclusion

These findings may negate the need for biochemical drug testing in this population, particularly as a “rule out” based on self-reporting. Future studies are needed to confirm these findings and should address risk of selection bias.

Decoding health status transitions of over 200 000 patients with traumatic brain injury from preceding injury to the injury event

For centuries, the study of traumatic brain injury (TBI) has been centred on historical observation and analyses of personal, social, and environmental processes, which have been examined separately. Today, computation implementation and vast patient data repositories can enable a concurrent analysis of personal, social, and environmental processes, providing insight into changes in health status transitions over time. We applied computational and data visualization techniques to categorize decade-long health records of 235,003 patients with TBI in Canada, from preceding injury to the injury event itself. Our results highlighted that health status transition patterns in TBI emerged along with the projection of comorbidity where many disorders, social and environmental adversities preceding injury are reflected in external causes of injury and injury severity. The strongest associations between health status preceding TBI and health status at the injury event were between multiple body system pathology and advanced age-related brain pathology networks. The interwoven aspects of health status on a time continuum can influence post-injury trajectories and should be considered in TBI risk analysis to improve prevention, diagnosis, and care.

Sex-specific analysis of traumatic brain injury events: applying computational and data visualization techniques to inform prevention and management

BACKGROUND

The interplay of host, agent, and environment implicated in traumatic brain injury (TBI) events is difficult to account for in hypothesis-driven research. Data-driven analysis of injury data can enable insight into injury events in novel ways. This research dissected complex and multidimensional data at the time of the TBI event by exploiting data mining and information visualization methods.

METHODS

We drew upon population-based decade-long health administrative data collected through the routine operation of the publicly funded health system in Ontario, Canada. We applied a computational approach to categorize health records of 235,003 patients with TBI versus the same number of reference patients without TBI, individually matched based on sex, age, place of residence, and neighbourhood income quantile. We adopted the basic concepts of the Haddon Matrix (host, agent, environment) to organize emerging factors significantly related to TBI versus non-TBI events. To explore sex differences, the data of male and female patients with TBI were plotted on heatmaps and clustered using hierarchical clustering algorithms.

RESULTS

Based on detected similarities, the computational technique yielded 34 factors on which individual TBI-event codes were loaded, allowing observation of a set of definable patterns within the host, the agent, and the environment. Differences in the patterns of host, agent and environment were found between male and female patients with TBI, which are currently not identified based on data from injury surveillance databases. The results were internally validated.

CONCLUSIONS

The study outlines novel areas for research relevant to TBI and offers insight into how computational and visual techniques can be applied to advance the understanding of TBI event. Results highlight unique aspects of sex differences of the host and agent at the injury event, as well as differences in exposure to adverse social and environmental circumstances, which can be a function of gender, aiding in future studies of injury prevention and gender-transformative care.

The changing landscape of the use of medical marijuana after traumatic brain injury: a narrative review

OBJECTIVE

To summarize the potential therapeutic benefits of medical marijuana for patients with traumatic brain injury (TBI).

METHODS

A systematic search was conducted using PubMed and Cochran's library for information regard the safety and efficacy of medical marijuana as a therapeutic agent. We investigated, in depth, articles specifically evaluating medical marijuana's use in TBI, as well as articles that summarized the effects of marijuana in general. Articles from the year 2000-2020 were included.

RESULTS

A total of 37 articles met our inclusion criteria. An additional 3 articles were obtained from reference lists.

CONCLUSION

Studies have shown that medical marijuana can potentially aid the recovery from TBI by modulating the endocannabinoid system, reducing inflammation and secondary injury. Adverse cognitive and physiological effects have been observed in the acute setting as well as chronically, though more research is necessitated. There is also the concern of significant drug-drug interactions that have not been thoroughly studied. Thus, while there is evidence that medical marijuana can be beneficial in the treatment of TBI, more research is necessitated to fully explore the long-term efficacy and adverse effects.

The features of the typical traumatic brain injury patient in the ICU are changing: what will this mean for the intensivist?

PURPOSE OF REVIEW

To describe the key features and epidemiology of traumatic brain injury (TBI) and how they may be changing, with an emphasis on how this may affect care in the intensive care unit.

RECENT FINDINGS

TBI has been traditionally perceived as occurring mainly in a younger, predominantly male population injured in high velocity motor vehicle crashes or assaults. However, there are an increasing number of patients over 65 years who have sustained a TBI secondary to low velocity falls. Considering the effects of frailty, comorbidities and extracranial injuries is important when making management decisions. Mild TBI comprises a third of those admitted and as a significant proportion may have poor outcomes secondary to their TBI they should be assessed to ensure appropriate follow-up. Multimodal monitoring may offer a way in the future to offer more personalised management to this very complex and heterogeneous patient group.

SUMMARY

This review highlights the urgent need to develop more age-inclusive TBI consensus management guidelines aimed at improving short- and long-term outcomes for the large and growing TBI population. Being elderly does not necessarily portend a poor outcome, and more research is needed to better triage, guide management and prognosticate on these patients.

Alcohol and acute traumatic brain injury in the emergency department

OBJECTIVE

There is limited research from Australasian EDs describing the demographic make-up, injury severity and impact of alcohol in patients requiring computed tomography (CT) for suspected traumatic brain injury (TBI). The present study aims to review the frequency and presenting patterns of patients who consume alcohol prior to presenting with suspected TBI.

METHODS

Retrospective observational study of patients referred for head CT to exclude TBI from a major referral centre and regional ED in New Zealand, between 1 September 2018 and 31 August 2019. Comparison groups were defined as 'alcohol involved' or 'no alcohol involved'.

RESULTS

97/425 (22.8% [95% CI 18.3-27.4]) of included TBI presentations involved alcohol. 73/97 (75.3% [95% CI 58.6-93.5]) were male and 41/97 (42.3% [95% CI 29.3-55.2]) were aged 18-30 years. The alcohol group were more likely to report assault as the injury mechanism (19.6% [95% CI 10.8-28.4] vs 5.2% [95% CI 2.7-7.7], P < 0.05) and have Glasgow Coma Scale scores reflecting more moderate (13.5% [95% CI 5.9-21.1] vs 3.5% [95% CI 1.5-5.6]) and severe (5.6% [95% CI 0.7-10.5] vs 3.2% [95% CI 1.2-5.2] TBI. Presentation times post-injury were delayed compared to the no alcohol group (3.4 h [interquartile range 1.9-14.8] vs 2.8 h [interquartile range 1.8-6.6], P < 0.05).

CONCLUSION

One quarter of patients with suspected TBI had consumed alcohol prior to their injury. Predominantly, those affected were young males who reported higher rates of assault; however, alcohol use was recorded in all age groups and sex. Alcohol-affected patients presented later, potentially delaying time to diagnosis. The present study supports the call for public health interventions that aim to reduce alcohol misuse.

The combined effects of alcohol and marijuana use prior to traumatic brain injury on mortality

Background

Alcohol (ETOH) intoxication is a common comorbidity in traumatic brain injury (TBI), and marijuana (THC) has been implicated as a major risk factor for trauma. The objective this study was to investigate the combined effects of ETOH and THC on mortality after TBI.

Materials and methods

A retrospective review of patient data was performed to assess adult (>18 years) patients with brain injuries between January 2012 and December 2018. Included patients sustained TBI (Abbreviated Injury Scale (AIS 1-6)) and were divided into two groups: No Substances and THC + ETOH.

Results

1085 (median age 52 years [range: 18–97 years]; 33.5% female (364/1085)) patients met the inclusion criteria. Significant differences for mortality at discharge were found between groups (p = 0.0025) with higher mortality in the No Substances group. On multiple logistic regression, a positive test for both ETOH + THC was found not to independently predict mortality at discharge, while age, Glasgow Coma Scale, intensive care unit stay, Injury Severity Score, length of hospital stay, and days on ventilator were independent predictors.

Conclusions

After controlling for confounding variables, positive ETOH + THC screens were not found to be independent predictors of mortality at discharge. Therefore, our results indicated no survival benefit for TBI patients with concomitant ETOH and THC use prior to injury.

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No survival benefit of alcohol and marijuana for all traumatic brain injury levels

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Glasgow Coma Scale predicts mortality for all traumatic brain injury levels

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Length of stay predicts mortality for all traumatic brain injury levels

The Effect of Substance Abuse Programs on Positive Drug Screening Tests in Trauma Patients

BACKGROUND

According to the National Institute on Drug Abuse, West Virginia has the highest age-adjusted rate of drug overdose deaths involving opioids. To combat this crisis, comprehensive drug counseling support services were established within the Cabell Huntington Hospital (CHH) system in October 2018 in Huntington, WV, USA. The purpose of this study was to investigate whether these services significantly reduced the number of trauma patients with a positive urine drug screen (UDS) seen at CHH.

METHODS

The trauma registry at CHH was used to obtain data on trauma patients with positive UDS from January 2017 to October 2019, which was divided into groups before and after October 2018. Exclusion criteria were any patients who were prescribed the drug. The percentages of the total number of positive drug screens within each group were calculated, and a t-test analysis was performed to determine the P values.

RESULTS

345 trauma patients with positive UDS were selected. Results showed that there was an overall decrease in the rate of nonprescribed use after October 2018 of benzodiazepines (18.1%-11.5%), cocaine (19.5%-15.3%), opioids (19.1%-12.3%), and oxycodone (10.2%-4.6%). However, none of these changes were statistically significant. There was an increase in the rate of nonprescribed use of amphetamine (20.0%-23.8%) and methamphetamine (14.4%-33.8%).

DISCUSSION

Our hypothesis is that the support systems are relatively new, and may need more time to identify and intervene on patients before a statistically significant effect on drug abuse rates in our region can be seen.

The effects of alcohol and marijuana on survival after severe traumatic brain injury: A retrospective cohort study

Background

Alcohol (ETOH) and marijuana (THC) use have previously shown to improve outcomes after Traumatic Brain Injury (TBI). However, whether TBI severity impacts outcomes among patients tested positive for both ETOH and THC remains unclear.

Materials and methods

A retrospective review from the Northern Ohio Regional Trauma Registry, which includes deidentified data from six regional hospitals, including three Level 1 and three Level 3 trauma centers, was performed to assess adult (>18 years) patients with severe TBI (head Abbreviated Injury Score ≥ 3) between January 2012 and December 2018 having an alcohol and drug toxicology screen and data regarding outcome at discharge. Patients were divided into two groups: 1) patients with a negative ETOH and drug test, and 2) patients positive for ETOH + THC. Mortality at discharge was the primary outcome measure and multiple logistic regression was used to assess predictors of mortality at discharge.

Results

A total of 854 (median age: 51 years [range: 18–72]; 34.4% female [294/854]) patients were included. On multiple logistic regression, age (p = 0.003), days in intensive care unit (ICU) (p < 0.001), Glasgow Coma Scale (GCS) (p < 0.001), Injury Severity Score (ISS) (p < 0.001), length of stay (LOS) (p < 0.001), and days on ventilator support (p = 0.032) were significant predictors of mortality at discharge. Blood alcohol content (BAC), cause of TBI, drug class, and sex were not significant predictors of mortality at discharge.

Conclusions

After severe TBI, positive THC and BAC screening did not predict mortality at discharge after controlling for confounding variables, indicating no survival benefit for patients with severe TBI.

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No survival benefit of alcohol and marijuana for severe traumatic brain injury.

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Glasgow Coma Scale predict mortality for severe traumatic brain injury.

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Injury Severity Score predict mortality for severe traumatic brain injury.