Efficacy of 10%,25% and 50% dextrose in the treatment of hypoglycemia in the emergency department - A randomized controlled study.

INTRODUCTION: Documented symptomatic hypoglycemia is defined as "event during which typical symptoms of hypoglycemia are accompanied by measured blood glucose of ≤70 mg/dL. Most of the studies and recommendations for the unconscious hypoglycemic adult advocate the use of 25 g of glucose as 50 mL of 50% dextrose solution intravenous or 1 mg of intramuscular glucagon. OBJECTIVE: To compare the efficacy and safety of 5 g boluses of 10%, 25% and 50% dextrose in the treatment of hypoglycemic patients presenting to our emergency department. METHODS: This was a randomized controlled single blinded study. Hypoglycemic patients in altered mental status were randomized into three treatment arms to be administered 10%, 25% or 50% dextrose. 5 g aliquots of intravenous 10%,25% or 50% dextrose were administered over 1 min. Time taken to achieve a Glasgow Coma Scale (GCS) of 15 and median total doses (g) were the primary outcomes. RESULTS: Data of 204 patients were analysed in the study. There was no difference in the median time to achieve a GCS of 15 in all three treatment arms (6 min). Total median dose administered in the 10% and 25% groups was lower than 50% (10 g vs 15 g). Proportion of patients who received the maximum dose of 25 g was higher in the 50% group as compared to 10% and 25% groups (12%, 3%, 4%). CONCLUSION: There was no difference in 10% dextrose and 25% dextrose as compared to 50% dextrose in achieving the baseline mental status (or GCS 15) in the treatment of hypoglycemia in the ED.

Association between sub-phenotypes identified using latent class analysis and neurological outcomes in patients with out-of-hospital cardiac arrest in Japan.

BACKGROUND: In patients who experience out-of-hospital cardiac arrest (OHCA), it is important to assess the association of sub-phenotypes identified by latent class analysis (LCA) using pre-hospital prognostic factors and factors measurable immediately after hospital arrival with neurological outcomes at 30 days, which would aid in making treatment decisions. METHODS: This study retrospectively analyzed data obtained from the Japanese OHCA registry between June 2014 and December 2019. The registry included a complete set of data on adult patients with OHCA, which was used in the LCA. The association between the sub-phenotypes and 30-day survival with favorable neurological outcomes was investigated. Furthermore, adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated by multivariate logistic regression analysis using in-hospital data as covariates. RESULTS: A total of, 22,261 adult patients who experienced OHCA were classified into three sub-phenotypes. The factor with the highest discriminative power upon patient's arrival was Glasgow Coma Scale followed by partial pressure of oxygen. Thirty-day survival with favorable neurological outcome as the primary outcome was evident in 66.0% participants in Group 1, 5.2% in Group 2, and 0.5% in Group 3. The 30-day survival rates were 80.6%, 11.8%, and 1.3% in groups 1, 2, and 3, respectively. Logistic regression analysis revealed that the ORs (95% CI) for 30-day survival with favorable neurological outcomes were 137.1 (99.4-192.2) for Group 1 and 4.59 (3.46-6.23) for Group 2 in comparison to Group 3. For 30-day survival, the ORs (95%CI) were 161.7 (124.2-212.1) for Group 1 and 5.78 (4.78-7.04) for Group 2, compared to Group 3. CONCLUSIONS: This study identified three sub-phenotypes based on the prognostic factors available immediately after hospital arrival that could predict neurological outcomes and be useful in determining the treatment strategy of patients experiencing OHCA upon their arrival at the hospital.

Factors affecting severity and prognosis of traumatic brain injury among Bangladeshi patients: An institution based cross-sectional study.

OBJECTIVE: Traumatic brain injury (TBI) proves to be an obstacle for Bangladeshi patients due to the lack of facilities and specialist doctors in regional sections of the country. This study aimed to record different attributes of Bangladeshi TBI patients over a year i.e., their injury characteristics, treatments received and understand their impacts on the severity of TBI. METHOD: This cross-sectional study was carried out among 280 TBI patients treated in a tertiary care hospital in Dhaka. The physicians determined TBI's severity and prognosis as per the Glasgow Coma Scale (GCS) and Glasgow Outcome Score (GOS) respectively. RESULTS: Most TBI patients were male (76.1%) and aged between 18 and 50 years (52.2%), as in previous studies in South Asian countries. However, the prevalence of TBI due to road traffic accidents (RTAs) was much higher (67.9%) than in the earlier studies in South Asia. Additionally, more patients suffered from severe TBI (29.3%) and moderate TBI (35.7%), and a higher percentage of patients went through surgery (56.8%) compared to previous studies. A significant association of demographic (residence) and clinical characteristics (consciousness after injury, CT scan findings and treatment type) with the severity of TBI was found in bivariate analysis. It also revealed the significant dependence of clinical characteristics (TBI etiology, post-injury consciousness, treatment type and TBI severity) on TBI prognosis. Multivariate analysis showed that patients who were unconscious after TBI and with evident brain injury observed in CT scans have a substantially higher risk of having moderate or severe TBI than mild TBI. Moreover, patients with TBI due to RTAs or falls, evident brain injury in CT scans, post-surgical seizure, and moderate or severe TBI have a significantly higher risk of getting a more unfavorable TBI prognosis than moderate disability. CONCLUSIONS: In this study, RTAs were found to be the major cause of TBI. Additionally, some variables were identified as possible determinants of TBI severity and prognosis among Bangladeshi patients. The correlation of these variables with TBI should be further studied with the hopes that steps will be taken to reduce TBI incidents and improve its management to reduce the overall burden.

The rate-pressure product combined model within 24 h on admission predicts the 30-day mortality rate in conservatively treated patients with intracerebral hemorrhage.

Background and objectives: Recently, some literature has proposed new indicators such as rate-pressure product, platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, etc. However, there has been no literature that has utilized these new indicators to establish a predictive model for assessing the risk of mortality in patients within 24 h on admission. Therefore, this study aims to build a predictive model that can rapidly assess the likelihood of mortality in patients within 24 h of admission. Methods: The datasets used in this study are available from the corresponding author upon reasonable request. Patients were randomly assigned to the training or validation cohort based on a ratio of 7:3, which was implemented as internal validations for the final predictive models. In the training set, least absolute shrinkage and selection operator (LASSO) regression was employed to select predictive factors, followed by both univariate and subsequent multivariate analysis. The predictive ability was assessed by the area under the receiver operating characteristic (ROC) curve. Results: A total of 428 patients were included in our research. The final model included 4 independent predictors (Glasgow Coma Scale, hematoma volume, rate-pressure product, c-reactive protein) and was developed as a simple-to-use nomogram. The training set and internal validation set model's C-index are 0.933 and 0.954, demonstrating moderate predictive ability with regard to risks of mortality. Compared to ICH score (AUC: 0.910 and 0.925), the net reclassification index (NRI) is 0.298 (CI = -0.105 to 0.701, p: 0.147) and integrated discrimination improvement (IDI) is 0.089 (CI = -0.049 to 0.228, p: 0.209). Our model is equally excellent as the classic ICH score model. Conclusion: We developed a model with four independent risk factors to predict the mortality of ICH patients. Our predictive model is effective in assessing the risk of mortality in patients within 24 h on admission, which might be worth considering in clinical settings after further external validation.

Comparison of Glasgow Coma Scale and Full Outline of UnResponsiveness score to assess the level of consciousness in patients admitted to intensive care units and emergency departments: A quantitative systematic review.

OBJECTIVES: We aimed to investigate the reliability and validity of the Glasgow Coma Scale (GCS) and the Full Outline of UnResponsiveness (FOUR) score used by nurses and physicians to assess the level of consciousness in patients admitted to intensive care units (ICUs) and emergency departments (EDs). REVIEW METHOD USED: This systematic review was guided by the Cochrane Handbook for Systematic Reviews of Interventions and followed the reporting standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis Statement. DATA SOURCES: A systematic search was conducted using the following databases: CINAHL, MEDLINE, and EMBASE. REVIEW METHODS: All authors performed the study selection process, data collection, and assessment of quality. The following psychometric properties were addressed: inter-rater reliability, internal consistency, and construct validity. RESULTS: Six articles were included. The GCS and the FOUR scores demonstrated excellent reliability and very strong validity when used by nurses and physicians to assess the level of consciousness in patients admitted to the ICU and ED. The FOUR score demonstrated slightly higher overall reliability and validity than the GCS. CONCLUSION: This systematic review indicates that the FOUR score is especially suitable for assessing the level of consciousness in patients admitted to the ICU and ED. The FOUR score demonstrated higher reliability and validity than the GCS, making it a promising alternative assessment scale, despite the GCS's longstanding use in clinical practice.

Comparison of the Prognostic Accuracy of Full Outline of Unresponsiveness (FOUR) Score with Glasgow Coma Scale (GCS) Score among Patients with Traumatic Brain Injury in a Tertiary Care Center.

Objectives The Glasgow Coma Scale (GCS) is widely used and considered the gold standard in assessing the consciousness of patients with traumatic brain injury. However, some significant limitations, like the considerable variations in interobserver reliability and predictive validity, were the reason for developing the Full Outline of Unresponsiveness (FOUR) score. The current study aims to compare the prognostic accuracy of the FOUR score with the GCS score for in-hospital mortality and morbidity among patients with traumatic brain injury. Materials and Methods A prospective cohort study was conducted, where 237 participants were selected by consecutive sampling from a tertiary care center. These patients were assessed with the help of GCS and FOUR scores within 6 hours of admission, and other clinical parameters were also noted. The level of consciousness was checked every day with the help of GCS and FOUR scores until their last hospitalization day. Glasgow Outcome Scale was used to assess their outcome on the last day of hospitalization. The GCS and FOUR scores were compared, and data were analyzed by descriptive and inferential statistics. The chi-square test, independent Student's t -test, and receiver operating characteristic analysis were used for inferential analysis. Results The area under the curve (AUC) for the GCS score at the 6th hour for predicting mortality was 0.865 with a cutoff value of 5.5, and it yields a sensitivity of 87% and a specificity of 64%. The AUC for FOUR scores at the 6th hour for predicting the mortality was 0.893, with a cutoff value of 5.5, and it yields a sensitivity of 87% and a specificity of 73%. Conclusion The current study shows that, as per the AUC of GCS and FOUR scores, their sensitivity was equal, but specificity was higher in the FOUR score. So, the FOUR score has higher accuracy than the GCS score in the prediction of mortality among traumatic brain injury patients.

Evaluation of the Glasgow Coma Scale-Pupils score for predicting inpatient mortality among patients with traumatic subdural hematoma at United States trauma centers.

OBJECTIVE: The Glasgow Coma Scale-Pupils (GCS-P) score has been suggested to better predict patient outcomes compared with GCS alone, while avoiding the need for more complex clinical models. This study aimed to compare the prognostic ability of GCS-P versus GCS in a national cohort of traumatic subdural hematoma (SDH) patients. METHODS: Patient data were obtained from the National Trauma Data Bank (2017-2019). Inclusion criteria were traumatic SDH diagnosis with available data on presenting GCS score, pupillary reactivity, and discharge disposition. Patients with severe polytrauma or nonsurvivable head injury at presentation were excluded. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of GCS-P versus GCS scores for inpatient mortality prediction were evaluated across the entire cohort, as well as in subgroups based on age and traumatic brain injury (TBI) type (blunt vs penetrating). Calibration curves were plotted based on predicted probabilities and actual outcomes. RESULTS: A total of 196,747 traumatic SDH patients met the study inclusion criteria. Sensitivity (0.707 vs 0.702), specificity (0.821 vs 0.823), and AUC (0.825 vs 0.814, p < 0.001) of GCS-P versus GCS scores for prediction of inpatient mortality were similar. Calibration curve analysis revealed that GCS scores slightly underestimated inpatient mortality risk, whereas GCS-P scores did not. In patients > 65 years of age with blunt TBI (51.9%, n = 102,148), both GCS-P and GCS scores underestimated inpatient mortality risk. In patients with penetrating TBI (2.4%, n = 4,710), the AUC of the GCS-P score was significantly higher (0.902 vs 0.851, p < 0.001). In this subgroup, both GCS-P and GCS scores underestimated inpatient mortality risk among patients with lower rates of observed mortality and overestimated risk among patients with higher rates of observed mortality. This effect was more pronounced in the GCS-P calibration curve. CONCLUSIONS: The GCS-P score provides better short-term prognostication compared with the GCS score alone among traumatic SDH patients with penetrating TBI. The GCS-P score overestimates inpatient mortality risk among penetrating TBI patients with higher rates of observed mortality. For penetrating TBI patients, which comprised 2.4% of our SDH cohort, a low GCS-P score should not justify clinical nihilism or forgoing aggressive treatment.

Analysis on Short-Term Outcomes for Cerebral Protection Treatment in Post Severe Traumatic Brain Injury Patients: A Single Neurosurgical Centre Study.

Background: Severe traumatic brain injury (TBI) is a leading cause of disability worldwide and cerebral protection (CP) management might determine the outcome of the patient. CP in severe TBI is to protect the brain from further insults, optimise cerebral metabolism and prevent secondary brain injury. This study aimed to analyse the short-term Glasgow Outcome Scale (GOS) at the intensive care unit (ICU) discharge and a month after ICU discharge of patients post CP and factors associated with the favourable outcome. Methods: This is a prospective cohort study from January 2021 to January 2022. The short-term outcomes of patients were evaluated upon ICU discharge and 1 month after ICU discharge using GOS. Favourable outcome was defined as GOS 4 and 5. Generalised Estimation Equation (GEE) was adopted to conduct bivariate GEE and subsequently multivariate GEE to evaluate the factors associated with favourable outcome at ICU discharge and 1 month after discharge. Results: A total of 92 patients with severe TBI with GOS of 8 and below admitted to ICU received CP management. Proportion of death is 17% at ICU discharge and 0% after 1 month of ICU discharge. Proportion of favourable outcome is 26.1% at ICU discharge and 61.1% after 1 month of ICU discharge. Among factors evaluated, age (odds ratio [OR] = 0.96; 95% CI: 0.94, 0.99; P = 0.004), duration of CP (OR = 0.41; 95% CI: 0.20, 0.84; P = 0.014) and hyperosmolar therapy (OR = 0.41; CI 95%: 0.21, 0.83; P = 0.013) had significant association. Conclusion: CP in younger age, longer duration of CP and patient not receiving hyperosmolar therapy are associated with favourable outcomes. We recommend further clinical trial to assess long term outcome of CP.

Validation of motor component of Glasgow coma scale in lieu of total Glasgow coma scale as a pediatric trauma field triage tool.

INTRODUCTION: Prehospital trauma triage and disability assessment of pediatric patients can be challenging on the field, especially in the pre-verbal age group. It would be useful if the same triage tool and criteria can be used for both adults and children to risk-stratify the need of higher acuity of trauma care. STUDY OBJECTIVE: We aimed to investigate if using only the motor component of Glasgow Coma Scale (mGCS), as a quick field trauma triage tool, was non-inferior to total GCS (tGCS), and if mGCS <6 was non-inferior to tGCS <14, in predicting the need for intensive care or mortality in the pediatric population. METHODS: We performed a retrospective review of patients <18-years-old, who presented to our emergency department (ED) with moderate (Injury Severity Score (ISS) 9-15) to severe (ISS > 15) traumatic injuries from January 2012 to December 2021. Using ED triage data, mortality and the need for intensive care unit (ICU) admission were used as surrogate outcomes to investigate if mGCS <6 was non-inferior to tGCS <14, and the area-under-the-receiver-operating-characteristic curve (AUROC) was used as a measure of comparability. RESULTS: Among 582 included for analysis, the median age was 7-years-old (2-12), and most were male (63.4%). 22.4% patients demised or required ICU care. mGCS <6 had an AUROC of 0.75 (95% CI 0.70 to 0.79), which was non-inferior to tGCS <14; AUROC 0.76, (95% CI 0.72 to 0.81), for identifying children requiring ICU management or demised. The results shown here were based on the AUROCs that were used to evaluate the discriminatory ability of tGCS <14 and mGCS <6 in prediction of mortality and the need for ICU care. CONCLUSION: Our study showed that mGCS was significantly associated with tGCS, and was non- inferior to the latter as a triage tool in pediatric trauma. It validated the use of mGCS <6 in lieu of tGCS <14 in the pre-hospital field triage of pediatric patients, in identification of children at risk of death or requiring ICU care. Larger prospective, observational studies using on-scene data would be required for more robust validation and determine optimal cut-offs.

Epidemiology and Outcomes of Severe Traumatic Brain Injury: Regional Trauma Center in Incheon, Korea, 2018-2022.

Objective: This study aims to explore the epidemiology and outcomes of severe traumatic brain injury (TBI) in Incheon, focusing on regional characteristics using data from a local trauma center. Methods: From January 2018 to December 2022, 559 patients with severe TBI were studied. We analyzed factors related to demography, prehospitalization, surgery, complications, and clinical outcomes, including intensive care unit stay, ventilator use, hospital stay, mortality, and Glasgow outcome scale (GOS) scores at discharge and after 6 months. Results: In this study, most severe TBI patients were in the 60-79 age range, constituting 37.4% of cases. Most patients (74.1%) used public emergency medical services for transportation, and 75.3% arrived directly at the hospital, a significantly higher proportion compared to transferred patients. Timewise, 40.0% reached the hospital within an hour of injury. Complication rates stood at 16.1%, with pneumonia being the most common. The mortality rate was 44.0%, and at discharge, 81.2% of patients had unfavorable outcomes (GOS 1-3), reducing to 70.1% at 6 months. Conclusion: As a pioneering study at Incheon's trauma center, this research provides insights into severe TBI outcomes, enhancing understanding by contrasting local and national data.

Traumatic Brain Injury Outcomes After Recreational Cannabis Use.

Purpose: Basic science data indicate potential neuroprotective effects of cannabinoids in traumatic brain injury (TBI). We aimed to evaluate the effects of pre-TBI recreational cannabis use on TBI outcomes. Patients and Methods: We used i2b2 (a scalable informatics framework; www.i2b2.org) to identify all patients presenting with acute TBI between 1/1/2014 and 12/31/2016, then conducted a double-abstraction medical chart review to compile basic demographic, urine drug screen (UDS), Glasgow Coma Scale (GCS), and available outcomes data (mortality, modified Rankin Scale (mRS), duration of stay, disposition (home, skilled nursing facility, inpatient rehabilitation, other)) at discharge and at specific time points thereafter. We conducted multivariable nested ordinal and logistic regression analyses to estimate associations between cannabis use, other UDS results, demographic factors, and selected outcomes. Results: i2b2 identified 6396 patients who acutely presented to our emergency room with TBI. Of those, 3729 received UDS, with 22.2% of them testing positive for cannabis. Mortality was similar in patients who tested positive vs negative for cannabis (3.9% vs 4.8%; p = 0.3) despite more severe GCS on admission in the cannabis positive group (p = 0.045). Several discharge outcome measures favored the cannabis positive group who had a higher rate of discharge home vs other care settings (p < 0.001), lower discharge mRS (p < 0.001), and shorter duration of hospital stay (p < 0.001) than the UDS negative group. Multivariable analyses confirmed mostly independent associations between positive cannabis screen and these post-TBI short- and long-term outcomes. Conclusion: This study adds evidence about the potentially neuroprotective effects of recreational cannabis for short- and long-term post-TBI outcomes. These results need to be confirmed via prospective data collections.

Comparison of nine trauma scoring systems in prediction of inhospital outcomes of pediatric trauma patients: a multicenter study.

Hereby, we aimed to comprehensively compare different scoring systems for pediatric trauma and their ability to predict in-hospital mortality and intensive care unit (ICU) admission. The current registry-based multicenter study encompassed a comprehensive dataset of 6709 pediatric trauma patients aged ≤ 18 years from July 2016 to September 2023. To ascertain the predictive efficacy of the scoring systems, the area under the receiver operating characteristic curve (AUC) was calculated. A total of 720 individuals (10.7%) required admission to the ICU. The mortality rate was 1.1% (n = 72). The most predictive scoring system for in-hospital mortality was the adjusted trauma and injury severity score (aTRISS) (AUC = 0.982), followed by trauma and injury severity score (TRISS) (AUC = 0.980), new trauma and injury severity score (NTRISS) (AUC = 0.972), Glasgow coma scale (GCS) (AUC = 0.9546), revised trauma score (RTS) (AUC = 0.944), pre-hospital index (PHI) (AUC = 0.936), injury severity score (ISS) (AUC = 0.901), new injury severity score (NISS) (AUC = 0.900), and abbreviated injury scale (AIS) (AUC = 0.734). Given the predictive performance of the scoring systems for ICU admission, NTRISS had the highest predictive performance (AUC = 0.837), followed by aTRISS (AUC = 0.836), TRISS (AUC = 0.823), ISS (AUC = 0.807), NISS (AUC = 0.805), GCS (AUC = 0.735), RTS (AUC = 0.698), PHI (AUC = 0.662), and AIS (AUC = 0.651). In the present study, we concluded the superiority of the TRISS and its two derived counterparts, aTRISS and NTRISS, compared to other scoring systems, to efficiently discerning individuals who possess a heightened susceptibility to unfavorable consequences. The significance of these findings underscores the necessity of incorporating these metrics into the realm of clinical practice.

Comparing surgical outcomes: Craniotomy versus decompressive craniectomy in acute subdural hematoma - A systematic review and meta-analysis.

Introduction: Acute subdural hematomas (SDH) pose a significant health risk, often resulting from traumatic head injuries. The choice between surgical interventions, craniotomy, and decompressive craniectomy, remains a subject of debate. This meta-analysis aims to compare outcomes and guide clinical decision-making. Methods: Following PRISMA guidelines, a comprehensive literature search was conducted in databases such as Ovid Medline, PubMed, and Cochrane, up to December 2023. Selection criteria included studies comparing craniotomy and decompressive craniectomy for acute SDH. Data extraction utilized the Newcastle-Ottawa Quality Assessment Tool, and statistical analysis employed the random-effects model. Results: The meta-analysis included 17 studies and 6848 patients. Craniotomy demonstrated a significant reduction in mortality rates (RR 0.80, 95% CI 0.73-0.89, P < 0.0001). GCS scores favored craniotomy for severe cases. GOS outcomes showed a trend favoring craniotomy, particularly in good recovery (RR 1.34, 95% CI 1.04-1.74, P = 0.03). Additional factors explored included co-existing sub-epidural hematoma, mydriasis, extracranial injuries, residual SDH, revision rates, and intracranial pressure. Conclusion: The meta-analysis suggests that craniotomy may be a favorable surgical strategy for acute SDH, displaying a significant decrease in mortality rates and a lower risk of raised intracranial pressure. However, the nuanced nature of outcomes emphasizes the need for a tailored approach, considering broader clinical contexts. Future research should address limitations and provide a basis for well-informed clinical decision-making.

Assessment of GCS and FOUR Score as Prognostic Indicators for Hospital Stay and Morbidity in Traumatic Brain Injury Patients: An Observational Study.

Aim: The objective of the present research was to evaluate variations in hospital stay as well as morbidity based on the Glasgow Coma Scale (GCS) and Full Outline of Un-Responsive (FOUR) scores for patients who had traumatic brain injury (TBI). Materials and Methods: A total of 107 patients with TBI patients who attended the emergency department of MES Medical College, Perinthalmanna, were enrolled into the study. FOUR and GCS scoring systems were used to assess the patients within 24 hours of the presentation to the emergency department. Both FOUR and GCS scoring systems were assessed at the same time. The outcome was measured in terms of length of hospital stay and morbidity, which was assessed using modified Rankin score. Chi-square test was used to calculate sensitivity, specificity, positive predictive value, and negative predictive value. The area under the curve (AUC) was calculated using receiver operating characteristic curve analysis. A P value <0.05 was considered significant. Results: We found a strong positive correlation between GCS and FOUR score with a Spearman coefficient of 0.9. Comparison of AUC between GCS score and FOUR score showed a statistically significant difference (P = 0.0044), predicting that FOUR score was a better predictor of hospital stay (>15 days) than GCS score. Comparison of AUC between GCS score and FOUR score showed a significant statistical difference (P = 0.0002), showing that FOUR score was a better predictor of morbidity than GCS. Conclusion: FOUR score was a better predictor of hospital stay and morbidity as compared to GCS score.

Overview of randomized controlled trials of moderate to severe traumatic brain injury: A systematic review.

BACKGROUND: Given the complexity of post-TBI medical, surgical, and rehabilitative care, research is critical to optimize interventions across the continuum of care and improve outcomes for persons with moderate to severe TBI. OBJECTIVE: To characterize randomized controlled trials (RCTs) of moderate to severe traumatic brain injury (TBI) in the literature. METHOD: Systematic searches of MEDLINE, PubMed, Scopus, CINAHL, EMBASE and PsycINFO for RCTs up to December 2022 inclusive were conducted in accordance with PRISMA guidelines. RESULTS: 662 RCTs of 91,946 participants published from 1978 to 2022 met inclusion criteria. The number of RCTs published annually has increased steadily. The most reported indicator of TBI severity was the Glasgow Coma Scale (545 RCTs, 82.3%). 432 (65.3%) RCTs focused on medical/surgical interventions while 230 (34.7%) addressed rehabilitation. Medical/surgical RCTs had larger sample sizes compared to rehabilitation RCTs. Rehabilitation RCTs accounted for only one third of moderate to severe TBI RCTs and were primarily conducted in the chronic phase post-injury relying on smaller sample sizes. CONCLUSION: Further research in the subacute and chronic phases as well as increasing rehabilitation focused TBI RCTs will be important to optimizing the long-term outcomes and quality of life for persons living with TBI.

Cutoff of the reverse shock index multiplied by the Glasgow coma scale for predicting in-hospital mortality in adult patients with trauma: a retrospective cohort study.

BACKGROUND: Early identification of patients at risk of potential death and timely transfer to appropriate healthcare facilities are critical for reducing the number of preventable trauma deaths. This study aimed to establish a cutoff value to predict in-hospital mortality using the reverse shock index multiplied by the Glasgow Coma Scale (rSIG). METHODS: This multicenter retrospective cohort study used data from 23 emergency departments in South Korea between January 2011 and December 2020. The outcome variable was the in-hospital mortality. The relationship between rSIG and in-hospital mortality was plotted using the shape-restricted regression spline method. To set a cutoff for rSIG, we found the point on the curve where mortality started to increase and the point where the slope of the mortality curve changed the most. We also calculated the cutoff value for rSIG using Youden's index. RESULTS: A total of 318,506 adult patients with trauma were included. The shape-restricted regression spline curve showed that in-hospital mortality began to increase when the rSIG value was less than 18.86, and the slope of the graph increased the most at 12.57. The cutoff of 16.5, calculated using Youden's index, was closest to the target under-triage and over-triage rates, as suggested by the American College of Surgeons, when applied to patients with an rSIG of 20 or less. In addition, in patients with traumatic brain injury, when the rSIG value was over 25, in-hospital mortality tended to increase as the rSIG value increased. CONCLUSIONS: We propose an rSIG cutoff value of 16.5 as a predictor of in-hospital mortality in adult patients with trauma. However, in patients with traumatic brain injury, a high rSIG is also associated with in-hospital mortality. Appropriate cutoffs should be established for this group in the future.

Verbal Glasgow Coma Scale as predictor of persistent disorder of consciousness: Insights for improving accuracy and reliability in clinical practice.

This brief report discusses the relationship between verbal function, disorders of consciousness, and neurological follow-up after acute brain injury. It provides valuable insights for improving the accuracy and reliability of Verbal Glasgow Coma Scale scoring in clinical practice. The report addresses the need for standardized training and underlines the importance of physiological stabilization before assessment. Clarity in communication, recognition of non-verbal cues, and serial assessments are emphasized as critical factors to reduce the Verbal Glasgow Coma Scale inconsistencies. It also promotes interdisciplinary collaboration and cultural sensitivity to refine the Verbal Glasgow Coma Scale evaluation, improving the prediction of long-term neurological outcomes after acute brain injury and optimizing effective rehabilitation programs. Possible strategies to implement in the routine clinical practice the provided tips are discussed.

Clinical features and predictors of delayed neurological syndrome in carbon monoxide poisoning: the AMICO study. / Caracterización clínica y factores predictivos de desarrollo de síndrome neurológico tardío en la intoxicación por monóxido de carbono: estudio AMICO.

OBJECTIVES: To identify predictors for developing delayed neurological syndrome (DNS) after an initial episode of carbon monoxide (CO) poisoning in the interest of detecting patients most likely to develop DNS so that they can be followed. MATERIAL AND METHODS: Retrospective review of cases of CO poisoning treated in the past 10 years in the emergency departments of 4 hospitals in the AMICO study (Spanish acronym for the multicenter analysis of CO poisoning). We analyzed demographic characteristics of the patients and the clinical characteristics of the initial episode. The records of the cohort of patients with available follow-up information were reviewed to find cases of DNS. Data were analyzed by multivariant analysis to determine the relationship to characteristics of the initial exposure to CO. RESULTS: A total of 240 cases were identified. The median (interquartile range) age of the patients was 36.2 years (17.6-49.6 years); 108 patients (45.0%) were men, and the poisoning was accidental in 223 cases (92.9%). The median carboxyhemoglobin concentration on presentation was 12.7% (6.2%-18.7%). Follow-up details were available for 44 patients (18.3%). Eleven of those patients (25%) developed DNS. A low initial Glasgow Coma Scale score predicted the development of DNS with an odds ratio (OR) of 0.61 (95% CI, 0.41-0.92) and an area under the receiver operating characteristic curve of 0.876 (95% CI, 0.761-0.990) (P .001). CONCLUSION: The initial Glasgow Coma Scale score seems to be a clinical predictor of DNS after CO poisoning. We consider it important to establish follow-up protocols for patients with CO poisoning treated in hospital EDs.

OBJETIVO: Identificar factores pronósticos de desarrollo de síndrome neurológico tardío (SNT) después de un episodio inicial de intoxicación por monóxido de carbono (ICO), con el fin detectar precozmente a la población más susceptible y facilitar su acceso a un seguimiento específico. METODO: Revisión retrospectiva de todos los casos de ICO que acudieron a los servicios de urgencias (SU) de 4 hospitales durante los últimos 10 años. Se analizaron datos demográficos y características clínicas en el momento del episodio. En la cohorte de pacientes con datos de seguimiento disponibles, se evaluó la aparición de SNT y su relación con diferentes variables en la exposición inicial al CO a través de técnicas de análisis multivariante. RESULTADOS: Se identificaron 240 pacientes. La mediana de edad fue de 36,2 años (17,6-49,6). De ellos 108 (45,0%) eran hombres y 223 casos (92,9%) fueron accidentales. El nivel medio de COHb fue del 12,7% (6,2-18,7). En 44 (18,3%) episodios se disponía de datos de un seguimiento específico. En esta cohorte, 11 (25%) pacientes desarrollaron SNT. Una puntuación inicial más baja en la Escala Coma de Glasgow (GCS) (OR: 0,61, IC 95%: 0,41-0,92) fue predictor independiente del desarrollo del SNT, con un ABC en la curva COR de 0,876 (IC 95%: 0,761-0,990, p 0,001). CONCLUSIONES: Una puntuación inicial baja en la GCS parece ser un predictor clínico de desarrollo de SNT en la ICO. Dada la incidencia de SNT, consideramos fundamental establecer protocolos de seguimiento específico de estos pacientes tras su asistencia inicial en los SU.

Caracterización clínica y factores predictivos de desarrollo de síndrome neurológico tardío en la intoxicación por monóxido de carbono: estudio AMICO / Clinical features and predictors of delayed neurological syndrome in carbon monoxide poisoning: the AMICO study

Objetivos. Identificar factores pronósticos de desarrollo de síndrome neurológico tardío (SNT) después de un episodio inicial de intoxicación por monóxido de carbono (ICO), con el fin detectar precozmente a la población más susceptible y facilitar su acceso a un seguimiento específico. Métodos. Revisión retrospectiva de todos los casos de ICO que acudieron a los servicios de urgencias (SU) de 4 hospitales durante los últimos 10 años. Se analizaron datos demográficos y características clínicas en el momento del episodio. En la cohorte de pacientes con datos de seguimiento disponibles, se evaluó la aparición de SNT y su relación con diferentes variables en la exposición inicial al CO a través de técnicas de análisis multivariante. Resultados. Se identificaron 240 pacientes. La mediana de edad fue de 36,2 años (17,6-49,6). De ellos 108 (45,0%) eran hombres y 223 casos (92,9%) fueron accidentales. El nivel medio de COHb fue del 12,7% (6,2-18,7). En 44 (18,3%) episodios se disponía de datos de un seguimiento específico. En esta cohorte, 11 (25%) pacientes desarrollaron SNT. Una puntuación inicial más baja en la Escala Coma de Glasgow (GCS) (OR: 0,61, IC 95%: 0,41-0,92) fue predictor independiente del desarrollo del SNT, con un ABC en la curva COR de 0,876 (IC 95%: 0,761-0,990, p < 0,001). Conclusiones. Una puntuación inicial baja en la GCS parece ser un predictor clínico de desarrollo de SNT en la ICO. Dada la incidencia de SNT, consideramos fundamental establecer protocolos de seguimiento específico de estos pacientes tras su asistencia inicial en los SU. (AU)

Objectives. To identify predictors for developing delayed neurological syndrome (DNS) after an initial episode of carbon monoxide (CO) poisoning in the interest of detecting patients most likely to develop DNS so that they can be followed. Methods. Retrospective review of cases of CO poisoning treated in the past 10 years in the emergency departments of 4 hospitals in the AMICO study (Spanish acronym for the multicenter analysis of CO poisoning). We analyzed demographic characteristics of the patients and the clinical characteristics of the initial episode. The records of the cohort of patients with available follow-up information were reviewed to find cases of DNS. Data were analyzed by multivariant analysis to determine the relationship to characteristics of the initial exposure to CO. Results. A total of 240 cases were identified. The median (interquartile range) age of the patients was 36.2 years (17.6-49.6 years); 108 patients (45.0%) were men, and the poisoning was accidental in 223 cases (92.9%). The median carboxyhemoglobin concentration on presentation was 12.7% (6.2%-18.7%). Follow-up details were available for 44 patients (18.3%). Eleven of those patients (25%) developed DNS. A low initial Glasgow Coma Scale score predicted the development of DNS with an odds ratio (OR) of 0.61 (95% CI, 0.41-0.92) and an area under the receiver operating characteristic curve of 0.876 (95% CI, 0.761-0.990) (P <.001). Conclusions. The initial Glasgow Coma Scale score seems to be a clinical predictor of DNS after CO poisoning. We consider it important to establish follow-up protocols for patients with CO poisoning treated in hospital EDs. (AU)

Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population.

Determination of prognosis in the triage process after traumatic brain injury (TBI) is difficult to achieve. Current severity measures like the Trauma and injury severity score (TRISS) and revised trauma score (RTS) rely on additional information from the Glasgow Coma Scale (GCS) and the Injury Severity Score (ISS) which may be inaccurate or delayed, limiting their usefulness in the rapid triage setting. We hypothesized that machine learning based estimations of GCS and ISS obtained through modeling of continuous vital sign features could be used to rapidly derive an automated RTS and TRISS. We derived variables from electrocardiograms (ECG), photoplethysmography (PPG), and blood pressure using continuous data obtained in the first 15 min of admission to build machine learning models of GCS and ISS (ML-GCS and ML-ISS). We compared the TRISS and RTS using ML-ISS and ML-GCS and its value using the actual ISS and GCS in predicting in-hospital mortality. Models were tested in TBI with systemic injury (head abbreviated injury scale (AIS) ≥ 1), and isolated TBI (head AIS ≥ 1 and other AIS ≤ 1). The area under the receiver operating characteristic curve (AUROC) was used to evaluate model performance. A total of 21,077 cases (2009-2015) were in the training set. 6057 cases from 2016 to 2017 were used for testing, with 472 (7.8%) severe TBI (GCS 3-8), 223 (3.7%) moderate TBI (GCS 9-12), and 5913 (88.5%) mild TBI (GCS 13-15). In the TBI with systemic injury group, ML-TRISS had similar AUROC (0.963) to TRISS (0.965) in predicting mortality. ML-RTS had AUROC (0.823) and RTS had AUROC 0.928. In the isolated TBI group, ML-TRISS had AUROC 0.977, and TRISS had AUROC 0.983. ML-RTS had AUROC 0.790 and RTS had AUROC 0.957. Estimation of ISS and GCS from machine learning based modeling of vital sign features can be utilized to provide accurate assessments of the RTS and TRISS in a population of TBI patients. Automation of these scores could be utilized to enhance triage and resource allocation during the ultra-early phase of resuscitation.