The reliability of the Glasgow Coma Scale: a systematic review

Update on diagnosis in disorders of consciousness

INTRODUCTION

New guidelines regarding the diagnosis of disorders of consciousness (DOC) (such as vegetative state and minimally conscious state) have recently been published by the American Academy of Neurology and the European Academy of Neurology. This follows an impressive number of prospective studies performed on DOC and recent multi-centric studies with larger sample size, which have gathered precious information on the recovery of cohort of patients through years and which now call for a better management of patients with DOC.

AREAS COVERED

This review will discuss recent updates on the clinical entities of DOC, the challenges for an accurate diagnosis and the last developments in diagnostic tools.

EXPERT OPINION

The authors will also discuss the impact of the new guidelines on their way of diagnosing patients and how diagnosis will most likely change in a near future.

The effect of multidrug exposure on neurological manifestations in carbamazepine intoxication: a nested case-control study

BACKGROUND

In acute intoxication, carbamazepine concentration above 40 mcg/ml is associated with a risk of severe neurological consequences, including depressed consciousness, respiratory depression, cardiac conduction disorders, seizures, and death. Carbamazepine intoxication is often associated with the use of concomitant medications. However, the effect of exposure to other central-nervous-system (CNS) acting medications on the neurological manifestations of carbamazepine toxicity has not been evaluated.

OBJECTIVE

To examine the effect of exposure to CNS-acting medications on the neurological effects of carbamazepine toxicity.

METHODS

A retrospective nested case-control study of all patients > 18 years of age, with at least one test of carbamazepine levels > 18 mcg/ml recorded at the Hadassah Hospital Central Laboratory, between the years 2004-2016. Sociodemographic and clinical data were collected from the computerized medical records, and the characteristics of patients with and without severe neurological symptoms of carbamazepine intoxication were compared.

RESULTS

Eighty patients were identified. In bivariate analyses, the odds of severe neurological symptoms was higher in patients with antidepressants use (odds ratio 8.7, 95% confidence interval: 1.8-41.2, p = 0.007), benzodiazepines use (8.6, 2.0-37.1, p = 0.004), and carbamazepine concentration above 30 mcg/ml (8.1, 1.9-33.3, p = 0.004). Multivariate models demonstrated that antidepressants and benzodiazepines were associated with severe neurological manifestations during carbamazepine intoxication, independently of carbamazepine concentration over 30 mcg/ml. ICU admission was associated in multivariate analysis with antidepressants (but not benzodiazepines) use, and with carbamazepine levels > 30 mcg/ml.

CONCLUSIONS

Among patients with carbamazepine intoxication, severe neurological symptoms are associated with exposure to benzodiazepines or antidepressants and with carbamazepine levels higher than 30 mcg/ml.

Bioinformatic analysis of brain-specific miRNAs for identification of candidate traumatic brain injury blood biomarkers

BACKGROUND

Detection of brain-specific miRNAs in the peripheral blood could serve as a surrogate marker of traumatic brain injury (TBI). Here, we systematically identified brain-enriched miRNAs, and tested their utility as TBI biomarkers in the acute phase of care.

METHODS

Publically available microarray data generated from 29 postmortem human tissues were used to rank 1,364 miRNAs in terms of their degree of brain-specific expression. Levels of the top six ranked miRNAs were then prospectively measured in serum samples collected from 10 Patients with TBI at hospital admission, as well as from 10 controls.

RESULTS

The top six miRNAs identified in our analysis (miR-124-3p, miR-219a-5p, miR-9-5p, miR-9-3p, miR-137, and miR-128-3p) were enriched 70 to 320-fold in brain relative to other tissues, and exhibited dramatically greater brain specificity compared to several miRNAs previously proposed as biomarkers. Furthermore, their levels were elevated in serum from patients with TBI compared to controls, and could collectively discriminate between groups with 90% sensitivity and 100% specificity. Interestingly, subsequent informatic pathway analysis revealed that their target transcripts were enriched for components of signaling pathways active in peripheral organs involved in common post-TBI complications.

CONCLUSIONS

The six candidate miRNAs identified in this preliminary study have promise as blood biomarkers of TBI, and could also be molecular contributors to systemic physiologic changes commonly observed post-injury.

Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach

BACKGROUND

The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques. We aimed to build a machine learning predictive model to predict the in-hospital mortality for patients who sustained Traumatic Brain Injury (TBI).

METHODS

Adult patients with TBI who were hospitalized in the level 1 trauma center in the period from January 2014 to February 2019 were included in this study. Patients' demographics, injury characteristics and CT findings were used as predictors. The predictive performance of Artificial Neural Networks (ANN) and Support Vector Machines (SVM) was evaluated in terms of accuracy, Area Under the Curve (AUC), sensitivity, precision, Negative Predictive Value (NPV), specificity and F-score.

RESULTS

A total of 1620 eligible patients were included in the study (1417 survival and 203 non-survivals). Both models achieved accuracy over 91% and AUC over 93%. SVM achieved the optimal performance with accuracy 95.6% and AUC 96%.

CONCLUSIONS

for prediction of mortality in patients with TBI, SVM outperformed the well-known classical models that utilized the conventional multivariate analytical techniques.

Current Status of Indications, Timing, Management, Complications, and Outcomes of Tracheostomy in Traumatic Brain Injury Patients

Tracheostomy is the commonest bedside surgical procedure performed on patients needing mechanical ventilation with traumatic brain injury (TBI). The researchers made an effort to organize a narrative review of the indications, timing, management, complications, and outcomes of tracheostomy in relation to neuronal and brain-injured patients following TBI. The study observations were collated from the published literature, namely original articles, book chapters, case series, randomized studies, systematic reviews, and review articles. Information sorting was restricted to tracheostomy and its association with TBI. Care was taken to review the correlation of tracheostomy with clinical correlates including indications, scheduling, interventions, prognosis, and complications of the patients suffering from mild, moderate and severe TBIs using Glasgow Coma Scale, Glasgow Outcome Scale, intraclass correlation coefficient, and other internationally acclaimed outcome scales. Tracheostomy is needed to overcome airway obstruction, prolonged respiratory failure and as indispensable component of mechanical ventilation due to diverse reasons in intensive care unit. Researchers are divided over early tracheostomy or late tracheostomy from days to weeks. The conventional classic surgical technique of tracheostomy has been superseded by percutaneous techniques by being less invasive with lesser complications, classified into early and late complications that may be life threatening. Additional studies have to be conducted to validate and streamline varied observations to frame evidence-based practice for successful weaning and decannulation. Tracheostomy is a safer option in critically ill TBI patients for which a universally accepted protocol for tracheostomy is needed that can help to optimize indications and outcomes.

Use of high-sensitivity digital ELISA improves the diagnostic performance of circulating brain-specific proteins for detection of traumatic brain injury during triage

Background: Historically, limited sensitivity associated with traditional immunoassay methods has prevented the use of brain-specific proteins as blood biomarkers of traumatic brain injury (TBI) during triage, as these proteins exhibit low circulating concentrations. Digital ELISA is a newly-developed technique that is up to 1000 times more sensitive than conventional ELISA methods. The purpose of this study was to determine whether the use of digital ELISA over conventional ELISA improves the performance of brain-specific proteins as blood biomarkers of TBI during triage.Methods: Blood was sampled from TBI patients (n = 13) at emergency department admission, as well as from neurologically normal controls (n = 72). Serum levels of two brain-specific proteins, neurofilament light chain (NfL) and Tau, were measured via digital ELISA. Estimated conventional ELISA measures were generated by adjusting values according to the lower limits of detection achievable with commercially available conventional ELISA assays, and receiver operating characteristic (ROC) analysis was used to compare the diagnostic performance of digital ELISA measures to estimated conventional ELISA measures in terms of their ability to discriminate between TBI patients and controls.Results: Used in combination, digital ELISA measures of NfL and Tau could discriminate between groups with 100% sensitivity and 91.7% specificity. Estimated conventional ELISA measures could only discriminate between groups with 7.7% sensitivity and 94.4% specificity. This difference in diagnostic performance was statistically significant when comparing areas under ROC curves.Conclusions: The use of digital ELISA over conventional ELISA methods improves the diagnostic performance of circulating brain-specific proteins for detection of TBI during triage.

Pressure injury development in critically ill patients with a cervical collar in situ: A retrospective longitudinal study

Trauma patients with a serious injury to the head or neck can remain immobilised with a cervical collar (C-collar) device in situ and are subsequently exposed to device-related skin integrity threats. This study aimed to determine the incidence and risk factors associated with the development of C-collar-related pressure injures (CRPIs) in an intensive care unit. This retrospective longitudinal cohort study was conducted in an Australian metropolitan intensive care unit. Following ethical approval, data from patients over 18 years, who received a C-collar were retrieved over a 9-year period. Chi square and t-tests were used to identify variables associated with CRPI development. A logistic regression model was employed to analyse the risk factors. Data from 906 patients were analysed. Nine-year pressure injury incidence was 16.9% (n = 154/906). Pressure injury development directly associated with a C-collar increased by 33% with each repositioning episode (odds ratio 1.328, 95% confidence interval 1.024-1.723, P = .033). Time in the C-collar (10.4 to 2.5 days, P = .002) and length of stay in intensive care unit (ICU) (20.1 to 16.1 days, P < .001) were associated with pressure injury development. Patients with C-collar devices are a vulnerable group at risk for pressure injury development because of their immobility and length of ICU stay.

The role of amantadine in cognitive recovery early after traumatic brain injury: A systematic review

We conducted an updated systematic review on the safety and efficacy of amantadine in cognitive recovery after traumatic brain injury (TBI), in order to determine if the current literature justifies its use in this clinical condition. A comprehensive search strategy was applied to three databases (PubMed, Scopus, and Cochrane). Only randomized clinical trials (RCTs) that compared the effect of amantadine and placebo in adults within 3 months of TBI were included in the review. Study characteristics, outcomes, and methodological quality were synthesized. This systematic review was conducted and presented in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A quantitative synthesis (meta-analysis) was not feasible due to the large heterogeneity of studies identified. Three parallel RCTs and one cross-over RCT, with a total of 325 patients were included. All of the studies evaluated only severe TBI in adults. Amantadine was found to be well tolerated across the studies. Two RCTs reported improvement in the intermediate-term cognitive recovery (four to six weeks after end of treatment), using DRS (in both studies) and MMSE, GOS, and FIM-Cog (in one study). The effect of amantadine on the short-term (seven days to discharge) and long-term (six months from the injury) cognitive outcome was found not superior to placebo in two RCTs. The rate of severe adverse events was found to be consistently very low across the studies (the incidence of seizures, elevation in liver enzymes and cardiac death was 0.7 %, 1.9 %, and 0.3 %, respectively). In conclusion, amantadine seems to be well tolerated and might hasten the rate of cognitive recovery in the intermediate-term outcome. However, the long-term effect of amantadine in cognitive recovery is not well defined and further large randomized clinical trials in refined subgroups of patients are needed to better define its application.

Inter-Rater Reliability and Impact of Disagreements on Acute Physiology and Chronic Health Evaluation IV Mortality Predictions

Acute Physiology and Chronic Health Evaluation is a well-validated method to risk-adjust ICU patient outcomes. However, predictions may be affected by inter-rater reliability for manually entered elements. We evaluated inter-rater reliability for Acute Physiology and Chronic Health Evaluation IV manually entered elements among clinician abstractors and assessed the impacts of disagreements on mortality predictions.

The delayed detection of an acute neurological worsening increases traumatic brain injury lethality

Introduction: Traumatic brain injury is a leading worldwide cause of death and disability in young people. Severity classification is based on the Glasgow Coma Scale. However, the neurological worsening in an acute setting does not always correspond to the initial severity suggesting an underestimation of the real magnitude of the injury. Objective: To study the correlation between the initial severity according to the Glasgow Coma Scale and the patient outcome in the context of different clinical and tomography variables. Materials and methods: We analyzed a retrospective cohort of 490 patients with closed traumatic brain injury requiring a stay in the intensive care unit of two third-level hospitals in Barranquilla. The risk was estimated by calculating the OR (95% CI). The significance level was established at an alpha value of 0.05. Results: Forty-one percent of all patients required orotracheal intubation; 51.2% were initially classified with moderate trauma and 6,0% as mild. The delay in the aggressive management of the traumas affected mainly those patients with traumas classified as moderate in whom lethality increased to 100% when there was delay in the detection of the neurological worsening and in the establishment of the aggressive treatment beyond 4 to 8 hours while the lethality in patients who received this treatment within the first hour reduced to <20%. Conclusions: The risk of lethality in traumatic brain injury increases with the delayed detection of neurological worsening in an acute setting, especially when aggressive management is performed after the first hour post-trauma.

Postoperative anaemia might be a risk factor for postoperative delirium and prolonged hospital stay: A secondary analysis of a prospective cohort study

BACKGROUND

Postoperative anaemia is a frequent surgical complication and in contrast to preoperative anaemia has not been validated in relation to mortality, morbidity and its associated health economic effect. Postoperative anaemia can predispose postoperative delirium through impairment of cerebral oxygenation. The aim of this secondary analysis is to investigate the association of postoperative anaemia in accordance with the sex specific World Health Organization definition of anaemia to postoperative delirium and its impact on the duration of hospital stay.

METHODS

A secondary analysis of the prospective multicentric observational CESARO-study was conducted. 800 adult patients undergoing elective surgery were enrolled from various operative disciplines across seven hospitals ranging from university hospitals, district general hospitals to specialist clinics of minimally invasive surgery in Germany. Patients were classified as anaemic according to the World Health Organization parameters, setting the haemoglobin level cut off below 12g/dl for females and below 13g/dl for males. Focus of the investigation were patients with acute anaemia. Patients with present preoperative anaemia or missing haemoglobin measurement were excluded from the sample set. Delirium screening was established postoperatively for at least 24 hours and up to three days, applying the validated Nursing Delirium Screening Scale.

RESULTS

The initial sample set contained 800 patients of which 183 were suitable for analysis in the study. Ninety out of 183 (49.2%) suffered from postoperative anaemia. Ten out of 93 (10.9%) patients without postoperative anaemia developed a postoperative delirium. In the group with postoperative anaemia, 28 (38.4%) out of 90 patients suffered from postoperative delirium (odds ratio 3.949, 95% confidence interval, (1.358-11.480)) after adjustment for NYHA-stadium, severity of surgery, cutting/suture time, duration of anaesthesia, transfusion of packed red cells and sedation status with Richmond Agitation Scale after surgery. Additionally, patients who suffered from postoperative anaemia showed a significantly longer duration of hospitalisation (7.75 vs. 12.42 days, odds ratio = 1.186, 95% confidence interval, 1.083-1.299, after adjustments).

CONCLUSION

The study results reveal that postoperative anaemia is not only a frequent postsurgical complication with an incidence probability of almost 50%, but could also be associated with a postoperative delirium and a prolonged hospitalisation.

Role of omega-3 fatty acids in the prevention of delirium in mechanically ventilated patients

Background:

Inflammation is an important mechanism in the pathogenesis of delirium. Since delirium might reduce by anti-inflammatory effects of omega-3 fatty acids. Based on this respect, a study was conducted to indicate the effect of omega-3 fatty acids in the prevention of delirium in mechanically ventilated patients.

Materials and Methods:

This study is a randomized, double-blind, placebo-controlled clinical trial. One hundred and sixty-eight mechanically ventilated patients were selected in the investigation. Patients were randomly allocated to receive either 2 g of omega-3 syrup or placebo once a day. Twice daily delirium was assessed due to Confusion Assessment Method and the Richmond Agitation-Sedation Scale. The number of days with delirium during the first 10 days of admission was the primary outcome. Secondary outcomes had been included duration of mechanical ventilation, length of intensive care unit (ICU) stay, and mortality.

Results:

Patient-days with delirium (P = 0.032), the number of ICU stay (P = 0.02), and mechanical ventilation (P = 0.042) days in omega-3 group significantly were lower than control group. Mortality was not significantly different between two groups.

Conclusion:

Omega-3 fatty acids can reduce the risk of delirium in mechanically ventilated patients.

Blended learning models for introductory programming courses: A systematic review

Teaching introductory programming courses is not an easy task. Instructors of introductory programming courses are facing many challenges related to the nature of programming, the students' characteristics and the traditional teaching methods that they are using. Blended learning seems to be a promising approach to address these challenges. Many studies concluded that blended learning can be more effective than traditional teaching and can improve students' learning experience. However, the current state of knowledge and practice in applying blended learning to introductory programming courses is limited. In an attempt to begin remedying this gap, this review synthesizes the different blended learning approaches that have been applied in introductory programming courses. It classifies them into five models then discusses the impact of each of these models on the learning experience of novice programmers. It concludes by providing some recommendations for instructors who want to blend their courses as well as some implications for future research.

Frequency, characteristics and hospital outcomes of road traffic accidents and their victims in Guinea: a three-year retrospective study from 2015 to 2017

BACKGROUND

Road traffic accidents (RTA) remain a global public health concern in developing countries. The aim of the study was to document the frequency, characteristics and hospital outcomes of road traffic accidents in Guinea from 2015 to 2017.

METHODS

We conducted a retrospective cohort study using medical records of RTA victims from 20 hospitals and a cross-sectional study of RTA cases from eight police stations in eight districts in Guinea, West Africa. Data analysis included descriptive statistics, trends of RTA, a sequence of interrupted time-series models and a segmented ordinary least-squares (OLS) regression.

RESULTS

Police stations recorded 3,140 RTA over 3 years with an overall annual increase in RTA rates from 14.0 per 100,000 population in 2015, to 19.2 per 100,000 population in 2016 (37.1% annual increase), to 28.7 per 100,000 population in 2017 (49.5% annual increase). Overall, the injury rates in 2016 and 2017 were .05 per 100,000 population higher on average per month (95% CI: .03-.07). Deaths from RTA showed no statistical differences over the 3 years and no association of RTA trends with season was found. Overall, 27,751 RTA victims were admitted to emergency units, representing 22% of all hospitals admissions. Most victims were males (71%) and young (33%). Deaths represented 1.4% of all RTA victims. 90% of deaths occurred before or within 24 h of hospital admission. Factors associated with death were being male (p = .04), being a child under 15 years (p = .045) or an elderly person aged ≥65 years (p < .001), and having head injury or coma (p < .001).

CONCLUSIONS

RTA rates in Guinea are increasing. There is a need for implementing multisectoral RTA prevention measures in Guinea.

Inter-Rater Reliability Between Critical Care Nurses Performing a Pediatric Modification to the Glasgow Coma Scale

OBJECTIVES

Estimate the inter-rater reliability of critical care nurses performing a pediatric modification of the Glasgow Coma Scale in a contemporary PICU.

DESIGN

Prospective observation study.

SETTING

Large academic PICU.

PATIENTS/SUBJECTS

All 274 nurses with permanent assignments in the PICU were eligible to participate. A subset of 18 nurses were selected as study registered nurses. All PICU patients were eligible to participate.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

PICU nurses were educated and demonstrated proficiency on a pediatric modification of the Glasgow Coma Scale we created to make it more applicable to a diverse PICU population that included patients who are sedated, mechanically ventilated, and/or have developmental disabilities. Each study registered nurse observed a sample of nurses perform the Glasgow Coma Scale, and they independently scored the Glasgow Coma Scale. Patients were categorized as having developmental disabilities if their preillness Pediatric Cerebral Performance Category score was greater than or equal to 3. Fleiss' Kappa (κ), intraclass correlation coefficient, and percent agreement assessed inter-rater reliability for each Glasgow Coma Scale component (eye, verbal, motor) and age-specific scale (≥ 2 and < 2-yr-old). The overall percent agreement between study registered nurses and nurses was 89% for the eye, 91% for the verbal, and 79% for the motor responses. Inter-rater reliability ranged from good (intraclass correlation coefficient = 0.75) to excellent (intraclass correlation coefficient = 0.96) for testable patients. Agreement on the motor response was significantly lower for children with developmental disabilities (< 2 yr: 59% vs 95%; p = 0.0012 and ≥ 2 yr: 55% vs 91%; p = 0.0012). Agreement was significantly worse for intermediate range Glasgow Coma Scale motor responses compared with responses at the extremes (e.g., motor responses 2, 3, 4 vs 1, 5, 6; p < 0.05).

CONCLUSIONS

A pediatric modification of the Glasgow Coma Scale performed by trained PICU nurses has excellent inter-rater reliability, although reliability was reduced in patients with developmental disabilities and for intermediate range Glasgow Coma Scale responses. Further research is needed to determine the effectiveness of this Glasgow Coma Scale modification to detect clinical deterioration.

Prehospital information and spot sign are complementary predictors of post-admission outcomes of intracerebral hematoma

Prehospital information of patients with intracerebral hematomas (ICHs), including systolic blood pressure (SBP), Glasgow Coma Scale (GCS), and neurological deterioration (ND), defined as GCS score worsening ≥2 points, has been reported, though relationships among the prehospital information and clinical factors, including the spot sign, which was a reported predictor of outcomes, were not clarified. The purpose of this study was to elucidate relationships among prehospital information, the spot sign, and clinical outcomes after admission using multivariate analysis. Consecutive patients with ICHs admitted within 6 h of onset from 2009 to 2017 were investigated. Among 645 eligible patients, prehospital ND was found in 107 (16.6%). Multiple regression analysis showed that predictors of hematoma volume were prehospital GCS (p < 0.0001), prehospital ND (p < 0.0001), anticoagulant use (p = 0.0254), and cortical hematoma (p < 0.0001). Predictors of emergency surgery or death within 24 h were prehospital SBP (p = 0.0005, unit OR: 1.01), prehospital GCS (p < 0.0001, unit OR: 0.82), prehospital ND (p = 0.0002, OR: 3.26), and hematoma volume (p < 0.0001, unit OR: 1.04). Predictors of death at discharge were prehospital GCS (p < 0.0001, unit OR: 0.75), prehospital ND (p = 0.0001, OR: 3.49), and age (p = 0.0008, unit OR: 1.036). On the other hand, none of the 3 items of prehospital information were predictors of the spot sign or hematoma enlargement. The prehospital information and the spot sign could predict post-admission outcomes in a complementary fashion. Prehospital information might be used as a reference for preparing emergency treatment, as well as possible future blood pressure-lowering treatment, before emergency department arrival.

In-hospital costs after severe traumatic brain injury: A systematic review and quality assessment

Background

The in-hospital treatment of patients with traumatic brain injury (TBI) is considered to be expensive, especially in patients with severe TBI (s-TBI). To improve future treatment decision-making, resource allocation and research initiatives, this study reviewed the in-hospital costs for patients with s-TBI and the quality of study methodology.

Methods

A systematic search was performed using the following databases: PubMed, MEDLINE, Embase, Web of Science, Cochrane library, CENTRAL, Emcare, PsychINFO, Academic Search Premier and Google Scholar. Articles published before August 2018 reporting in-hospital acute care costs for patients with s-TBI were included. Quality was assessed by using a 19-item checklist based on the CHEERS statement.

Results

Twenty-five out of 2372 articles were included. In-hospital costs per patient were generally high and ranged from $2,130 to $401,808. Variation between study results was primarily caused by methodological heterogeneity and variable patient and treatment characteristics. The quality assessment showed variable study quality with a mean total score of 71% (range 48% - 96%). Especially items concerning cost data scored poorly (49%) because data source, cost calculation methodology and outcome reporting were regularly unmentioned or inadequately reported.

Conclusions

Healthcare consumption and in-hospital costs for patients with s-TBI were high and varied widely between studies. Costs were primarily driven by the length of stay and surgical intervention and increased with higher TBI severity. However, drawing firm conclusions on the actual in-hospital costs of patients sustaining s-TBI was complicated due to variation and inadequate quality of the included studies. Future economic evaluations should focus on the long-term cost-effectiveness of treatment strategies and use guideline recommendations and common data elements to improve study quality.

Dutch Prospective Observational Study on Prehospital Treatment of Severe Traumatic Brain Injury: The BRAIN-PROTECT Study Protocol

Background: Severe traumatic brain injury (TBI) is associated with a high mortality rate and those that survive commonly have permanent disability. While there is a broad consensus that appropriate prehospital treatment is crucial for a favorable neurological outcome, evidence to support currently applied treatment strategies is scarce. In particular, the relationship between prehospital treatments and patient outcomes is unclear. The BRAIN-PROTECT study therefore aims to identify prehospital treatment strategies associated with beneficial or detrimental outcomes. Here, we present the study protocol. Study Protocol: BRAIN-PROTECT is the acronym for BRAin INjury: Prehospital Registry of Outcome, Treatments and Epidemiology of Cerebral Trauma. It is a prospective observational study on the prehospital treatment of patients with suspected severe TBI in the Netherlands. Prehospital epidemiology, interventions, medication strategies, and nonmedical factors that may affect outcome are studied. Multivariable regression based modeling will be used to identify confounder-adjusted relationships between these factors and patient outcomes, including mortality at 30 days (primary outcome) or mortality and functional neurological outcome at 1 year (secondary outcomes). Patients in whom severe TBI is suspected during prehospital treatment (Glasgow Coma Scale score ≤ 8 in combination with a trauma mechanism or clinical findings suggestive of head injury) are identified by all four helicopter emergency medical services (HEMS) in the Netherlands. Patients are prospectively followed up in 9 participating trauma centers for up to one year. The manuscript reports in detail the objectives, setting, study design, patient inclusion, and data collection process. Ethical and juridical aspects, statistical considerations, as well as limitations of the study design are discussed. Discussion: Current prehospital treatment of patients with suspected severe TBI is based on marginal evidence, and optimal treatment is basically unknown. The BRAIN-PROTECT study provides an opportunity to evaluate and compare different treatment strategies with respect to patient outcomes. To our knowledge, this study project is the first large-scale prospective prehospital registry of patients with severe TBI that also collects long-term follow-up data and may provide the best available evidence at this time to give useful insights on how prehospital care can be improved.

The Initiation of Rehabilitation Therapies and Observed Outcomes in Pediatric Traumatic Brain Injury

PURPOSE

Pediatric traumatic brain injury (TBI) is associated with immense physical, emotional, social, and economic burden. This study examined timing and frequency of rehabilitation services provided by the inpatient interdisciplinary team in children admitted for a TBI. Understanding the timing and frequency of rehabilitation services could guide TBI recovery.

DESIGN AND METHODS

This is a 3-year prospective observational study of previously healthy children (n = 35) admitted for a TBI to an urban Level 1 trauma hospital. Children with mild, moderate, and severe TBI were included. Initiation and frequency of the interdisciplinary rehabilitation team's care and neurocognitive-functional outcomes were analyzed. Outcome measures included the Glasgow Outcome Scale-Extended Pediatrics and the Speech Pathology Neurocognitive-Functional Evaluation at hospital discharge and first follow-up visit.

RESULTS

The initiation and the frequency of rehabilitation services were found in all severities of TBI. Timing and frequency of services also aligned with varied severities. Children with moderate TBI showed the most improvement in Glasgow Outcome Scale-Extended Pediatrics and the Speech Pathology Neurocognitive-Functional Evaluation on their first follow-up visit, whereas children with mild and severe TBI demonstrated little change in outcome at their first follow-up visit and had varied services based on their hospital course.

CONCLUSION

Services by interdisciplinary rehabilitation teams were provided across all brain injury severity groups, despite the lack of comprehensive rehabilitation guidelines. Varied neurocognitive and functional outcome changes measured found children with moderate TBI had the greatest change in outcomes. Further research is warranted to assess the timing and frequency of services and their relationship to neurocognitive-functional outcomes.

Cotton bud in external ear canal causing necrotising otitis externa and subdural abscess

Necrotising otitis externa (NOE) is an infection originating in the soft tissues of the external auditory canal (EAC) spreading to the surrounding bone and rarely causing intracranial complications. It is usually caused by Pseudomonas aeruginosa and has historically occurred in elderly patients with diabetes or immunodeficiency. EAC foreign body is a risk factor for otitis externa but has not been described in NOE. A healthy 31-year-old man presented with new-onset seizures and worsening left-sided otalgia and otorrhoea. Brain imaging revealed left temporal subdural abscesses superior to the petrous bone. A retained cotton bud was identified in the left EAC, along with osseocartilaginous junction and mastoid granulation tissue. The foreign body was removed; a cortical mastoidectomy performed and intravenous antibiotic administered. At 10 weeks, the patient remained well, with no neurological deficit and no residual ear symptoms, and CT demonstrated complete resolution of the intracranial abscesses.

Comparison of two simple models for prediction of short term mortality in patients after severe traumatic brain injury

INTRODUCTION

The subscale motor score of Glasgow Coma Scale (msGCS) and the Abbreviated Injury Score of head region (HAIS) are validated prognostic factors in traumatic brain injury (TBI). The aim was to compare the prognostic performance of a HAIS-based prediction model including HAIS, pupil reactivity and age, and the reference prediction model including msGCS in emergency department (ED), pupil reactivity and age.

METHODS

Secondary analysis of a prospective epidemiological study including patients after severe TBI (HAIS > 3) with follow-up from the time of accident until 14 days or earlier death was performed in Switzerland. Performance of prediction, based on accuracy of discrimination [area under the receiver-operating curve (AUROC)], calibration (Hosmer-Lemeshow test) and validity (bootstrapping with 2000 repetitions to correct) for optimism of the two prediction models were investigated. A non-inferiority approach was performed and an a priori threshold for important differences was established.

RESULTS

The cohort included 808 patients [median age 56 {inter-quartile range (IQR) 33-71}, median motor part of GCS in ED 1 (1-6), abnormal pupil reactivity 29.0%] with a death rate of 29.7% at 14 days. The accuracy of discrimination was similar (AUROC HAIS-based prediction model: 0.839; AUROC msGCS-based prediction model: 0.826, difference of the 2 AUROC 0.013 (-0.007 to 0.037). A similar calibration was observed (Hosmer-Lemeshow X² 11.64, p = 0.168 vs. Hosmer-Lemeshow X² 8.66, p = 0.372). Internal validity of HAIS-based prediction model was high (optimism corrected AUROC: 0.837).

CONCLUSIONS

Performance of prediction for short-term mortality after severe TBI with HAIS-based prediction model was non-inferior to reference prediction model using msGCS as predictor.

Comparison of two prehospital predictive models for mortality and impaired consciousness after severe traumatic brain injury

BACKGROUND

The primary aim was to investigate the performance of a National Advisory Committee for Aeronautics based predictive model (NACA-BM) for mortality at 14 days and a reference model using motor GCS (GCS-RM). The secondary aim was to compare the models for impaired consciousness of survivors at 14 days (IC-14; GCS ≤ 13).

METHODS

Patients ≥16 years having sustained TBI with an abbreviated injury scale score of head region (HAIS) of >3 were included. Multivariate logistic regression models were used to test models for death and IC-14. The discrimination was assessed using area under the receiver-operating curves (AUROCs); noninferiority margin was -5% between the AUROCs. Calibration was assessed using the Hosmer Lemeshow goodness-of-fit test.

RESULTS

Six hundred and seventy seven patients were included. The median age was 54 (IQR 32-71). The mortality rate was 31.6%; 99 of 438 surviving patients (22.6%) had an IC-14. Discrimination of mortality was 0.835 (95%CI 0.803-0.867) for the NACA-BM and 0.839 (0.807-0.872) for the GCS-RM; the difference of the discriminative ability was -0.4% (-2.3% to +1.7%). Calibration was appropriate for the NACA-BM (χ² 8.42; P = 0. 393) and for the GCS-RM (χ² 3.90; P = 0. 866). Discrimination of IC-14 was 0.757 (0.706-0.808) for the NACA-BM and 0.784 (0.734-0.835) for the GCS-RM; the difference of the discriminative ability was -2.5% (-7.8% to +2.6%). Calibration was appropriate for the NACA-BM (χ² 10.61; P = 0.225) and for the GCS-RM (χ² 6.26; P = 0.618).

CONCLUSIONS

Prehospital prediction of mortality after TBI was good with both models, and the NACA-BM was not inferior to the GCS-RM. Prediction of IC-14 was moderate in both models.

Effect of Low Frequency Repetitive Transcranial Magnetic Stimulation on Depression and Cognition of Patients with Traumatic Brain Injury: A Randomized Controlled Trial

BACKGROUND This study was conducted to investigate the effects of low frequency repetitive transcranial magnetic stimulation (rTMS) of the right dorsolateral prefrontal cortex on depression and cognition in patients with traumatic brain injury. MATERIAL AND METHODS To accomplish this, 13 patients who were diagnosed with traumatic brain injury were divided into an experimental group (n=7) and a control group (n=6). The experimental group received rTMS during a 30-minute session 5 days per week for 2 weeks; the control group received sham rTMS. The patients were then evaluated for depression using the Montgomery-Asberg Depression Rating Scale (MADRS) and for cognitive function using the Trail Making Test (TMT) and the Stroop Color Word Test (SCWT). RESULTS A significant decrease in MADRS, TMT, and SCWT was observed after the intervention in the experimental group (P<0.01), and there was a significant difference in the change value of MADRS, TMT, and SCWT compared to the control group (P<0.01). Moreover, the effect size for gains in the experimental group and control group was very strong for MADRS, TMT, and SCWT (effect size=1.44, 1.49, and 1.24 respectively). CONCLUSIONS The results of this study suggest that application of low frequency rTMS to the right dorsolateral prefrontal cortex of patients with traumatic brain injury has a positive effect on depression and cognition.

Derivation of a screen to identify severe sepsis and septic shock in the ED-BOMBARD vs. SIRS and qSOFA

STUDY OBJECTIVE

To predict severe sepsis/septic shock in ED patients.

METHODS

We conducted a retrospective case-control study of patients ≥18 admitted to two urban hospitals with a combined ED census of 162,000. Study cases included patients with severe sepsis/septic shock admitted via the ED. Controls comprised admissions without severe sepsis/septic shock. Using multivariate logistic regression, a prediction rule was constructed. The model's AUROC was internally validated using 1000 bootstrap samples.

RESULTS

143 study and 286 control patients were evaluated. Features predictive of severe sepsis/septic shock included: SBP ≤ 110 mm Hg, shock index/SI ≥ 0.86, abnormal mental status or GCS < 15, respirations ≥ 22, temperature ≥ 38C, assisted living facility residency, disabled immunity. Two points were assigned to SI and temperature with other features assigned one point (mnemonic: BOMBARD). BOMBARD was superior to SIRS criteria (AUROC 0.860 vs. 0.798, 0.062 difference, 95% CI 0.022-0.102) and qSOFA scores (0.860 vs. 0.742, 0.118 difference, 95% CI 0.081-0.155) at predicting severe sepsis/septic shock. A BOMBARD score ≥ 3 was more sensitive than SIRS ≥ 2 (74.8% vs. 49%, 25.9% difference, 95% CI 18.7-33.1) and qSOFA ≥ 2 (74.8% vs. 33.6%, 41.2% difference, 95% CI 33.2-49.3) at predicting severe sepsis/septic shock. A BOMBARD score ≥ 3 was superior to SIRS ≥ 2 (76% vs. 45%, 32% difference, 95% CI 10-50) and qSOFA ≥ 2 (76% vs. 29%, 47% difference, 95% CI 25-63) at predicting sepsis mortality.

CONCLUSION

BOMBARD was more accurate than SIRS and qSOFA at predicting severe sepsis/septic shock and sepsis mortality.

An automated computerized critical illness severity scoring system derived from APACHE III: modified APACHE

PURPOSE

To evaluate the performance of an automated computerized ICU severity scoring derived from the APACHE III.

MATERIALS AND METHODS

Within a retrospective cohort of patients admitted to Veterans Health Administration ICUs between 2009 and 2015, we created an automated illness severity score(modified APACHE or mAPACHE), that we extracted from the electronic health records, using the same scoring as the APACHE III excluding the Glasgow Coma Scale, urine output, arterial blood gas components of APACHE III. We assessed the mAPACHE discrimination by using the area under the curve(AUC), and calibration by using the Hosmer-Lemeshow test and calculating the difference between observed and expected mortality across equal-sized risk deciles for death.

RESULTS

The ICU and 30-day mortality was 5.07% of 7.82%, respectively (n = 490,955 patients). The AUC of mAPACHE for ICU and 30-day mortality was 0.771 and 0.786, respectively. The Hosmer-Lemeshow test was significant for both ICU and 30-day mortality (p < .001). The absolute difference between observed and expected mortality did not exceed ±1.53% across equal-sized deciles of risk for death. The AUC for ICU mortality was >0.7 in all admission diagnosis categories except in endocrine, respiratory, and sepsis. The AUC for 30-day mortality was >0.7 in every category.

CONCLUSION

mAPACHE has adequate performance to predict mortality.

Reliability of Glasgow Coma Score in pediatric trauma patients

BACKGROUND

Discordant assessments of Glasgow Coma Score (GCS) following trauma can result in inappropriate triage. This study sought to determine the reliability of prehospital GCS compared to emergency department (ED) GCS.

METHODS

We conducted a retrospective review of traumas from 01/2000 to 12/2015 at a Level-1 pediatric trauma center. We evaluated reliability between field and ED GCS using Pearson's correlation. We ascertained the difference between prehospital and ED GCS (delta-GCS). Associations between patient characteristics and delta-GCS were modeled using Poisson and linear regression, adjusting for demographic and clinical covariates.

RESULTS

We identified 5306 patients. Pearson's correlation for GCS measurements was 0.57 for ages 0-3, and 0.67-0.77 for other age groups. Mean delta-GCS was highest for age<3years (0.95, SD=2.4). Poisson regression demonstrated that compared to children 0-3years, higher age was associated with lower delta-GCS (RR 0.65 95% CI 0.56-0.74). Linear regression showed that in those with a delta-GCS, more severe injury (higher ISS, worse ED disposition) and older age were associated with a negative change, signifying decline in score.

CONCLUSIONS

GCS is generally unreliable in pediatric trauma patients aged 0-3years, particularly the verbal score component. This may impact accuracy of triage priority for pediatric trauma patients.

LEVEL OF EVIDENCE

III, Prognostic.

Deficits in saccades and smooth-pursuit eye movements in adults with traumatic brain injury: a systematic review and meta-analysis

PURPOSE

To conduct a review of literature and quantify the effect that traumatic brain injury (TBI) has on oculomotor functions (OM).

METHODS

A systematic review and meta-analysis was conducted from papers that objectively measured saccades and smooth-pursuit eye movements in mild and severe TBI.

RESULTS

The overall impact of TBI on OM functions was moderate and significant with an effect size of 0.42 from 181 OM case-control comparisons. The heterogeneity, determined using the random effect model, was found to be significant (Q (180) = 367, p < 0.0001, I² = 51) owing to the variety of OM functions (reflexive saccades, antisaccades, memory-guided saccades, self-paced saccades and pursuits) measured and varying post-injury periods.The overall effect on OM functions were similar in mild and severe TBI despite differences in combined effect size of various OM functions. OM functions involving complex cognitive skills such as antisaccades (in mild and severe TBI) and memory-guided saccades (in mild TBI) were the most adversely affected, suggesting that OM deficits may be associated with cognitive deficits in TBI.

CONCLUSION

TBI often results in long-standing OM deficits. Experimental measures of OM assessment reflect neural integrity and may provide a sensitive and objective biomarker to detect OM deficits following TBI.

Simplifying the use of prognostic information in traumatic brain injury. Part 1: The GCS-Pupils score: an extended index of clinical severity

OBJECTIVE

Glasgow Coma Scale (GCS) scores and pupil responses are key indicators of the severity of traumatic brain damage. The aim of this study was to determine what information would be gained by combining these indicators into a single index and to explore the merits of different ways of achieving this.

METHODS

Information about early GCS scores, pupil responses, late outcomes on the Glasgow Outcome Scale, and mortality were obtained at the individual patient level by reviewing data from the CRASH (Corticosteroid Randomisation After Significant Head Injury; n = 9,045) study and the IMPACT (International Mission for Prognosis and Clinical Trials in TBI; n = 6855) database. These data were combined into a pooled data set for the main analysis.

Methods of combining the Glasgow Coma Scale and pupil response data varied in complexity from using a simple arithmetic score (GCS score [range 3–15] minus the number of nonreacting pupils [0, 1, or 2]), which we call the GCS-Pupils score (GCS-P; range 1–15), to treating each factor as a separate categorical variable. The content of information about patient outcome in each of these models was evaluated using Nagelkerke’s R2.

RESULTS

Separately, the GCS score and pupil response were each related to outcome. Adding information about the pupil response to the GCS score increased the information yield. The performance of the simple GCS-P was similar to the performance of more complex methods of evaluating traumatic brain damage. The relationship between decreases in the GCS-P and deteriorating outcome was seen across the complete range of possible scores. The additional 2 lowest points offered by the GCS-Pupils scale (GCS-P 1 and 2) extended the information about injury severity from a mortality rate of 51% and an unfavorable outcome rate of 70% at GCS score 3 to a mortality rate of 74% and an unfavorable outcome rate of 90% at GCS-P 1. The paradoxical finding that GCS score 4 was associated with a worse outcome than GCS score 3 was not seen when using the GCS-P.

CONCLUSIONS

A simple arithmetic combination of the GCS score and pupillary response, the GCS-P, extends the information provided about patient outcome to an extent comparable to that obtained using more complex methods. The greater range of injury severities that are identified and the smoothness of the stepwise pattern of outcomes across the range of scores may be useful in evaluating individual patients and identifying patient subgroups. The GCS-P may be a useful platform onto which information about other key prognostic features can be added in a simple format likely to be useful in clinical practice.

Development of a screening tool to predict the risk of chronic pain and disability following musculoskeletal trauma: protocol for a prospective observational study in the United Kingdom

INTRODUCTION

Pain is an expected and appropriate experience following traumatic musculoskeletal injury. By contrast, chronic pain and disability are unhelpful yet common sequelae of trauma-related injuries. Presently, the mechanisms that underlie the transition from acute to chronic disabling post-traumatic pain are not fully understood. Such knowledge would facilitate the development and implementation of precision rehabilitation approaches that match interventions to projected risk of recovery, with the aim of preventing poor long-term outcomes. The aim of this study is to identify a set of predictive factors to identify patients at risk of developing ongoing post-traumatic pain and disability following acute musculoskeletal trauma. To achieve this, we will use a unique and comprehensive combination of patient-reported outcome measures, psychophysical testing and biomarkers.

METHODS AND ANALYSIS

A prospective observational study will recruit two temporally staggered cohorts (n=250 each cohort; at least 10 cases per candidate predictor) of consecutive patients with acute musculoskeletal trauma aged ≥16 years, who are emergency admissions into a Major Trauma Centre in the United Kingdom, with an episode inception defined as the traumatic event. The first cohort will identify candidate predictors to develop a screening tool to predict development of chronic and disabling pain, and the second will allow evaluation of the predictive performance of the tool (validation). The outcome being predicted is an individual's absolute risk of poor outcome measured at a 6-month follow-up using the Chronic Pain Grade Scale (poor outcome ≥grade II). Candidate predictors encompass the four primary mechanisms of pain: nociceptive (eg, injury location), neuropathic (eg, painDETECT), inflammatory (biomarkers) and nociplastic (eg, quantitative sensory testing). Concurrently, patient-reported outcome measures will assess general health and psychosocial factors (eg, pain self-efficacy). Risk of poor outcome will be calculated using multiple variable regression analysis.

ETHICS AND DISSEMINATION

Approved by the NHS Research Ethics Committee (17/WA/0421).

Factors Influencing the Reliability of the Glasgow Coma Scale: A Systematic Review

BACKGROUND

The Glasgow Coma Scale (GCS) characterizes patients with diminished consciousness. In a recent systematic review, we found overall adequate reliability across different clinical settings, but reliability estimates varied considerably between studies, and methodological quality of studies was overall poor. Identifying and understanding factors that can affect its reliability is important, in order to promote high standards for clinical use of the GCS.

OBJECTIVE

The aim of this systematic review was to identify factors that influence reliability and to provide an evidence base for promoting consistent and reliable application of the GCS.

METHODS

A comprehensive literature search was undertaken in MEDLINE, EMBASE, and CINAHL from 1974 to July 2016. Studies assessing the reliability of the GCS in adults or describing any factor that influences reliability were included. Two reviewers independently screened citations, selected full texts, and undertook data extraction and critical appraisal. Methodological quality of studies was evaluated with the consensus-based standards for the selection of health measurement instruments checklist. Data were synthesized narratively and presented in tables.

RESULTS

Forty-one studies were included for analysis. Factors identified that may influence reliability are education and training, the level of consciousness, and type of stimuli used. Conflicting results were found for experience of the observer, the pathology causing the reduced consciousness, and intubation/sedation. No clear influence was found for the professional background of observers.

CONCLUSION

Reliability of the GCS is influenced by multiple factors and as such is context dependent. This review points to the potential for improvement from training and education and standardization of assessment methods, for which recommendations are presented.

Development of a Simple Sequential Organ Failure Assessment Score for Risk Assessment of Emergency Department Patients With Sepsis

OBJECTIVES

Sepsis-3 recommends using the quick Sequential Organ Failure Assessment (qSOFA) score followed by SOFA score for sepsis evaluation. The SOFA is complex and unfamiliar to most emergency physicians, while qSOFA is insensitive for sepsis screening and may result in missed cases of sepsis. The objective of this study was to devise an easy-to-use simple SOFA score for use in the emergency department (ED).

METHODS

Retrospective study of ED patients with sepsis with in-hospital mortality as the primary outcome. A simple SOFA score was derived and validated and compared with SOFA and qSOFA.

RESULTS

A total of 3297 patients with sepsis were included, and in-hospital mortality was 10.1%. Simple SOFA had a sensitivity and specificity of 88% and 44% in the derivation set and 93% and 44% in the validation set for in-hospital mortality, respectively. The sensitivity and specificity of qSOFA was 38% and 86% and for SOFA was 90% and 50%, respectively. There were 2760 (84%) of 3297 qSOFA-negative (<2) patients. In this group, simple SOFA had a sensitivity and specificity of 86% and 48% in the derivation set and 91% and 48% in the validation set, respectively. Sequential Organ Failure Assessment was 86% sensitive and 57% specific in qSOFA-negative patients. For all encounters, the areas under the receiver-operator characteristic curves (AUROC) were 0.82 for SOFA, 0.78 (derivation) and 0.82 (validation) for simple SOFA, and 0.68 for qSOFA. In qSOFA-negative patients, the AUROCs were 0.80 for SOFA and 0.76 (derivation) and 0.82 (validation) for simple SOFA.

CONCLUSIONS

Simple SOFA demonstrates similar predictive ability for in-hospital mortality from sepsis compared to SOFA. External validation of these findings is indicated.

Searching for mortality predictors in trauma patients: a challenging task

BACKGROUND

We aimed to study the value of new physiological variables compared with ISS and GCS as predictors for trauma mortality in a high-income developing country having a young population.

METHODS

Data of 1008 consecutive trauma patients who were included in Al-Ain City Road Traffic Collision Registry were analyzed. Demography of patients, systolic blood pressure, heart rate, shock index, shock index age (SIA), blood pressure age index (BPAI), Glasgow Coma Scale (GCS), injury severity score (ISS), and in-hospital mortality were analyzed. Univariate analysis was used to compare those who died with those who survived. Significant factors were then entered into a backward logistic regression model to define factors predicting mortality.

RESULTS

80.3% of the patients were males. The median (range) age of patients was 26 (1-78) years. Significant factors that predicted mortality were GCS (p < 0.0001), SIA (p = 0.003), ISS (p = 0.007), and BPAI (p = 0.022).

CONCLUSIONS

The physiological variables including GCS and shock index age were better predictors for trauma mortality comparted with ISS in our young population. A large global multi-centric study could possibly define an accurate global formula that uses both anatomical and physiological variables for predicting trauma mortality.

Correlations between diffusion tensor imaging and levels of consciousness in patients with traumatic brain injury: a systematic review and meta-analysis

Traumatic brain injury (TBI) often leads to impaired consciousness. Recent diffusion tensor imaging studies associated consciousness with imaging metrics including fractional anisotropy (FA) and apparent diffusion coefficient (ADC). We evaluated their correlations and determined the best index in candidate regions. Six databases were searched, including PubMed and Embase, and 16 studies with 701 participants were included. Data from region-of-interest and whole-brain analysis methods were meta-analysed separately. The FA-consciousness correlation was marginal in the whole-brain white matter (r = 0.63, 95% CI [0.47, 0.79], p = 0.000) and the corpus callosum (CC) (r = 0.60, 95% CI [0.48, 0.71], p = 0.000), and moderate in the internal capsule (r = 0.48, 95% CI [0.24, 0.72], p = 0.000). Correlations with ADC trended negative and lacked significance. Further subgroup analysis revealed that consciousness levels correlated strongly with FA in the CC body (r = 0.66, 95% CI [0.43, 0.89]), moderately in the splenium (r = 0.58, 95% CI [0.38, 0.78]), but insignificantly in the genu. In conclusion, FA correlates better with consciousness levels than ADC in TBI. The degree of correlation varies among brain regions. The CC (especially its splenium and body) is a reliable candidate region to quantitatively reflect consciousness levels.

Post-traumatic headache: the use of the sport concussion assessment tool (SCAT-3) as a predictor of post-concussion recovery

BACKGROUND

Given that post-traumatic headache is one of the most prevalent and long-lasting post-concussion sequelae, causes significant morbidity, and might be associated with slower neurocognitive recovery, we sought to evaluate the use of concussion screening scores in a concussion clinic population to assess for post-traumatic headache.

METHODS

This is a retrospective cross-sectional study of 254 concussion patients from the New York University (NYU) Concussion Registry. Data on the headache characteristics, concussion mechanism, concussion screening scores were collected and analyzed.

RESULTS

72% of the patients had post-traumatic headache. About half (56.3%) were women. The mean age was 35 (SD 16.2). 90 (35%) patients suffered from sport-related concussions (SRC). Daily post-traumatic headache patients had higher Sport Concussion Assessment Tool (SCAT)-3 symptom severity scores than the non-daily post-traumatic headache and the headache-free patients (50.2 [SD 28.2] vs. 33.1 [SD 27.5] vs. 21.6 SD23], p < 0.001). Patients with SRC had lower headache intensity (4.47 [SD 2.5] vs. 6.24 [SD 2.28], p < 0.001) and SCAT symptom severity scores (33.9 [SD 27.4] vs. 51.4 [SD 27.7], p < 0.001) than the other patients, but there were no differences in post-traumatic headache prevalence, frequency, and Standardized Assessment of Concussion (SAC) scores.

CONCLUSION

The presence and frequency of post-traumatic headache are associated with the SCAT-3 symptom severity score, which is the most important predictor for post-concussion recovery. The SCAT-3 symptom severity score might be a useful tool to help characterize patients' post-traumatic headache.

Pediatric Traumatic Brain Injury: Families and Healthcare Team Interaction Trajectories During Acute Hospitalization

PURPOSE

To identify common or unique family-healthcare team interactions during acute hospitalization for pediatric patients with a traumatic brain injury (TBI) using a life course trajectory (LCT) theoretical approach.

DESIGN AND METHODS

A 3-year prospective observational study of 35 children, ages 5 days to 15 years who were admitted to an urban Level-1 trauma hospital for a TBI. We defined brain injury severity using the admission Glasgow Coma Scale score (mild 13-15, moderate 9-12, and severe 3-8). Using a life course trajectory theoretical approach, we extracted from the patient's electronic health record the first eight-days of hospitalization and plotted the number and type of daily family-healthcare team interactions to visualize patterns or phases.

RESULTS

A general trajectory for each severity group was determined. When individually compared, family trajectories were similar based on injury severity. Visual interpretations of family-healthcare interactions based on the brain injury severity yielded three phases. The interactions phases included: (1) information seeking, (2) watchful waiting and (3) decision making.

CONCLUSION

Using a LCT approach, phases identified based on injury severity and family interactions support the need for proper timing of tailored communication and support. The findings also support the development of future best care practices that facilitate family's needs, decrease caregiver burden to improve functional outcomes.

Comparison of Two Predictive Models for Short-Term Mortality in Patients after Severe Traumatic Brain Injury

The Glasgow Coma Scale (GCS) and the Abbreviated Injury Score of the head region (HAIS) are validated prognostic factors in traumatic brain injury (TBI). The aim of this study was to compare the prognostic performance of an alternative predictive model including motor GCS, pupillary reactivity, age, HAIS, and presence of multi-trauma for short-term mortality with a reference predictive model including motor GCS, pupil reaction, and age (IMPACT core model). A secondary analysis of a prospective epidemiological cohort study in Switzerland including patients after severe TBI (HAIS >3) with the outcome death at 14 days was performed. Performance of prediction, accuracy of discrimination (area under the receiver operating characteristic curve [AUROC]), calibration, and validity of the two predictive models were investigated. The cohort included 808 patients (median age, 56; interquartile range, 33-71), median GCS at hospital admission 3 (3-14), abnormal pupil reaction 29%, with a death rate of 29.7% at 14 days. The alternative predictive model had a higher accuracy of discrimination to predict death at 14 days than the reference predictive model (AUROC 0.852, 95% confidence interval [CI] 0.824-0.880 vs. AUROC 0.826, 95% CI 0.795-0.857; p < 0.0001). The alternative predictive model had an equivalent calibration, compared with the reference predictive model Hosmer-Lemeshow p values (Chi2 8.52, Hosmer-Lemeshow p = 0.345 vs. Chi2 8.66, Hosmer-Lemeshow p = 0.372). The optimism-corrected value of AUROC for the alternative predictive model was 0.845. After severe TBI, a higher performance of prediction for short-term mortality was observed with the alternative predictive model, compared with the reference predictive model.

The Glasgow Coma Scale and evidence-informed practice: a critical review of where we are and where we need to be

AIMS AND OBJECTIVES

This paper aims to critically consider the evidence since the Glasgow Coma Scale was first launched, reflecting on how that evidence has shaped practice. It illustrates the lack of clarity and consensus about the use of the tool in practice and draws upon existing evidence to determine the route to clarity for an evidence-informed approach to practice.

BACKGROUND

The Glasgow Coma Scale has permeated and influenced practice for over 40 years, being well-established worldwide as the key tool for assessing level of consciousness. During this time, the tool has been scrutinised, evaluated, challenged and re-launched in a plethora of publications. This has led to an insight into the challenges, and to some extent the opportunities, in using the Glasgow Coma Scale in practice but has also resulted in a lack of clarity.

DESIGN

This is a discursive paper that invites readers to explore and arrive at a more comprehensive understanding of the Glasgow Coma Scale in practice and is based on searches of Scopus, Web of Knowledge, PubMed, Science Direct and CINAHL databases.

RESULTS

While the Glasgow Coma Scale has been rivalled by other tools in an attempt to improve upon it, a shift in practice to those tools has not occurred. The tool has withstood the test of time in this respect, indicating the need for further research into its use and a clear education strategy to standardise implementation in practice.

CONCLUSION

Further exploration is needed into the application of painful stimuli in using the Glasgow Coma Scale to assess level of consciousness. In addition, a robust educational strategy is necessary to maximise consistency in its use in practice.

RELEVANCE TO CLINICAL PRACTICE

The evidence illustrates inconsistency and confusion in the use of the Glasgow Coma Scale in practice; this has the potential to compromise care and clarity around the issues is therefore necessary.

Delirium after a traumatic brain injury: predictors and symptom patterns

BACKGROUND

Delirium in traumatic brain injury (TBI) is common, may be predictable, and has a multifaceted symptom complex. This study aimed to examine: 1) the sum score of Glasgow Coma Scale (GCS) and if its component scores could predict delirium in TBI patients, and 2) the prominent symptoms and their courses over the first days after TBI.

METHODS

TBI patients were recruited from neurosurgical ward inpatients. All participants were hospitalized within 24 hours after their TBI. Apart from the sum score of GCS, which was obtained at the emergency department (ED), the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, diagnostic criteria for delirium were applied daily. The severity of delirium symptoms was assessed daily using the Delirium Rating Scale - Revised-98 (DRS-R-98).

RESULTS

The participants were 54 TBI patients with a mean GCS score of 12.7 (standard deviation [SD] =2.9). A total of 25 patients (46.3%) met the diagnosis of delirium and had a mean age of 36.7 years (SD =14.8). Compared with 29 non-delirious patients, 25 delirious patients had a significantly lower mean GCS score (P=0.04), especially a significantly lower verbal component score (P=0.03). Among 18 delirious patients, four symptoms of the DRS-R-98 cognitive domain (orientation, attention, long-term memory, and visuospatial ability) were moderate symptoms (score ≥2) at the first day of admission. After follow-up, three cognitive (orientation, attention, and visuospatial ability) and two noncognitive symptoms (lability of affect and motor agitation) rapidly resolved.

CONCLUSION

Almost half of patients with mild to moderate head injuries may develop delirium in the first 4 days after TBI. Those having a low GCS score, especially the verbal component score, at the ED were likely to have delirium in this period. Most cognitive domains of delirium described in the DRS-R-98 were prominent within the first 4 days of TBI with delirium. Three cognitive and two noncognitive symptoms of delirium decreased significantly.

Management of the Pediatric Neurocritical Care Patient

Pediatric neurocritical care is a growing subspecialty of pediatric intensive care that focuses on the management of acute neurological diseases in children. A brief history of the field of pediatric neurocritical care is provided. Neuromonitoring strategies for children are reviewed. Management of major categories of acute childhood central neurologic diseases are reviewed, including treatment of diseases associated with intracranial hypertension, seizures and status epilepticus, stroke, central nervous system infection and inflammation, and hypoxic-ischemic injury.

Traumatic brain injury in England and Wales: prospective audit of epidemiology, complications and standardised mortality

OBJECTIVES

To provide a comprehensive assessment of the management of traumatic brain injury (TBI) relating to epidemiology, complications and standardised mortality across specialist units.

DESIGN

The Trauma Audit and Research Network collects data prospectively on patients suffering trauma across England and Wales. We analysed all data collected on patients with TBI between April 2014 and June 2015.

SETTING

Data were collected on patients presenting to emergency departments across 187 hospitals including 26 with specialist neurosurgical services, incorporating factors previously identified in the Ps14 multivariate logistic regression (Ps14n) model multivariate TBI outcome prediction model. The frequency and timing of secondary transfer to neurosurgical centres was assessed.

RESULTS

We identified 15 820 patients with TBI presenting to neurosurgical centres directly (6258), transferred from a district hospital to a neurosurgical centre (3682) and remaining in a district general hospital (5880). The commonest mechanisms of injury were falls in the elderly and road traffic collisions in the young, which were more likely to present in coma. In severe TBI (Glasgow Coma Score (GCS) ≤8), the median time from admission to imaging with CT scan is 0.5 hours. Median time to craniotomy from admission is 2.6 hours and median time to intracranial pressure monitoring is 3 hours. The most frequently documented complication of severe TBI is bronchopneumonia in 5% of patients. Risk-adjusted W scores derived from the Ps14n model indicate that no neurosurgical unit fell outside the 3 SD limits on a funnel plot.

CONCLUSIONS

We provide the first comprehensive report of the management of TBI in England and Wales, including data from all neurosurgical units. These data provide transparency and suggests equity of access to high-quality TBI management provided in England and Wales.

Why you may need a neurologist to see a comatose patient in the ICU

This commentary summarizes the value of a neurologist in the diagnosis and prognostication of coma. Evaluating coma is inherently complex, and neurologic consultation and management can be useful. We often find that management changes after a neurologic consultation.

Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study

BACKGROUND

Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine's prioritization system. In this study, we sought to evaluate the reliability and validity of this algorithm.

METHODS

Nine senior physicians evaluated forty clinical vignettes based on real patients. The reference standard was defined as the priorities ascribed by two investigators with full access to patients' records. Agreement of algorithm-based priorities with the reference standard and with intuitive priorities provided by the physicians were evaluated. Correlations between algorithm prioritization and physicians' judgment of the appropriateness of ICU admissions in scarcity and nonscarcity settings were also evaluated. Validity was further assessed by retrospectively applying this algorithm to 603 patients with requests for ICU admission for association with clinical outcomes.

RESULTS

Agreement between algorithm-based priorities and the reference standard was substantial, with a median κ of 0.72 (interquartile range [IQR] 0.52-0.77). Algorithm-based priorities demonstrated higher interrater reliability (overall κ 0.61, 95% confidence interval [CI] 0.57-0.65; median percentage agreement 0.64, IQR 0.59-0.70) than physicians' intuitive prioritization (overall κ 0.51, 95% CI 0.47-0.55; median percentage agreement 0.49, IQR 0.44-0.56) (p = 0.001). Algorithm-based priorities were also associated with physicians' judgment of appropriateness of ICU admission (priorities 1, 2, 3, and 4 vignettes would be admitted to the last ICU bed in 83.7%, 61.2%, 45.2%, and 16.8% of the scenarios, respectively; p < 0.001) and with actual ICU admission, palliative care consultation, and hospital mortality in the retrospective cohort.

CONCLUSIONS

This ICU admission triage algorithm demonstrated good reliability and validity. However, more studies are needed to evaluate a difference in benefit of ICU admission justifying the admission of one priority stratum over the others.

The management of severe traumatic brain injury

An approach to the initial evaluation, resuscitation, and treatment of the patient with severe traumatic brain injury is presented in terms of the underlying physiology and literature support. The primary importance of rapid and complete systemic resuscitation in terms of the "ABCs" is stressed, with the goal of optimizing cerebral perfusion and preventing secondary insults to the injured brain. The integration of brain-specific treatments and diagnostic maneuvers into resuscitation protocols is discussed, including the role of mannitol and hyperventilation as well as the prioritization of CT imaging of the brain.