Glasgow coma scale score before prehospital tracheal intubation in trauma vs. nontrauma patients: A multicentre retrospective observational study.

Advanced age is a well-recognized risk factor for adverse outcomes after trauma. A substantial body of literature, much of it cited within this article, demonstrates increased morbidity and mortality in geriatric trauma patients compared with their younger counterparts. Whether this outcome difference is because of the decreased physiologic reserve that accompanies aging, a higher incidence of preexisting medical conditions in the geriatric patient, or other factors yet to be identified remains unclear. It is clear, however, that good outcomes can be achieved in this patient population when appropriately aggressive trauma care is directed toward geriatric patients with survivable injuries. Implicit in the above statement is the need to identify, as soon as possible after injury, those patients who will benefit from aggressive resuscitation, timely injury management, and posttrauma rehabilitation. It is equally important, however, to limit these intensive and expensive treatment modalities to patients whose injuries are not only survivable but also compatible with an acceptable quality of life. Our purpose in developing this guideline was to provide the trauma practitioner with some evidence-based recommendations that could be used to guide decision-making in the care of the geriatric trauma patient. We began this process by first developing a series of questions, the answers to which we hoped could be supported by the existing scientific literature. The initial set of questions were as follows: 1. Is age itself a marker of increased morbidity/ mortality? If so, what age should be used? 2. Is age instead a surrogate for increased preexisting conditions (PECs)? If so, which premorbid conditions are particularly predictive of poor outcomes? 3. Should age itself be a criterion for triage from the field directly to a trauma center, regardless of Glasgow Coma Scale (GCS) score, Trauma Score (TS), and so forth? If so, what age should be used? 4. Do trauma centers have better outcomes with geriatric trauma than nontrauma centers? 5. Are there specific injuries, scores (e.g., Injury Severity Score [ISS], TS, GCS score), or PEC/age combinations in geriatric trauma patients that are so unlikely to be survivable that a nonaggressive approach from the outset could be justified? 6. What resuscitation end-points should be used for the geriatric trauma patient? 7. Should all geriatric trauma patients receive invasive hemodynamic monitoring? If so, what specific types of monitoring should be used? If not, which geriatric patients benefit from invasive monitoring? Unfortunately, after examining the available literature, it is clear that evidence-based responses to all of the questions raised above are not possible. As the evidentiary tables demonstrate, there are few, if any, prospective, randomized, controlled trials that definitively address any of the above issues. Second, there is a lack of uniformity as to a specific age criterion for geriatric trauma. As shown in the evidentiary tables, geriatric trauma is variously defined in the literature as age greater than or equal to 55, 60, 65, 70, 75, and even 80 years of age. There is even literature support for increased mortality from trauma beginning at age 45! Furthermore, because age is a continuous variable, and not a dichotomous one, adverse outcomes associated with geriatric trauma are likely to increase in a continuous fashion with age as opposed to a stepwise leap as a given patient reaches a specific age. Third, there is no concise definition of a geriatric trauma patient. In some studies, all patients over a given age are included, whereas in others, patients with penetrating injuries, burns, and minor injuries, such as slip-and-falls, are excluded. Some studies include all patients regardless of hemodynamic instability or injury severity, whereas others impose strict entrance criteria or exclude patients who do not survive for a predetermined period of time after admission. Such lack of uniformity regarding inclusion criteria makes it Submitted for publication October 3, 2001. Accepted for publication September 16, 2002. Copyright © 2003 by Lippincott Williams & Wilkins, Inc. From the Carolinas Medical Center (D.G.J.), Charlotte, North Carolina, Trauma Service, Bronson Hospital (B.R.P.), Kalamazoo, and Trauma Burn Center, University of Michigan Health System (W.W.), Ann Arbor, Michigan, New York Hospital–Cornell Medical Center (P.S.B.), New York, New York, Robert Wood Johnson Medical School (J.S.H.), New Brunswick, New Jersey, Mt. Sinai Hospital (M.R.H.), Chicago, Illinois, Morehouse School of Medicine (K.E.S.), Atlanta, Georgia, and R Adams Cowley Shock Trauma Center, University of Maryland Medical Center (T.M.S.), Baltimore, Maryland. Address for reprints: David G. Jacobs, MD, Carolinas Medical Center, P.O. Box 32861, Charlotte, NC 28232; email: djacobs@carolinas.org.

Validation of the Simplified Motor Score for the Prediction of Brain Injury Outcomes After Trauma

Introduction:There is no consensus on the performance of decision rules in predicting the prognosis of trauma patients. Therefore, the present study aimed to compare the value of Glasgow coma scale (GCS) and physiologic scoring systems in predicting mortality and poor outcome of trauma patients.Methods:This diagnostic accuracy study was conducted on multiple trauma patients admitted to the intensive care units of two hospitals in Tehran, Iran, from 21 November 2020 to 22 May 2021. The patients' demographic characteristics, length of stay in the intensive care unit (ICU), the vital signs, and the GCS on admission were recorded. Finally, the mortality, disability, and complete recovery of patients at the time of discharge were evaluated and receiver operating characteristics (ROC) curve analysis was used to compare the performance of physiologic scoring systems with GCS.Results:200 trauma patients with the mean age of 43.53±19.84 years were evaluated (74% male). The area under the ROC curve for New Trauma Score (NTS), Revised Trauma Score (RTS), Worthing Physiological Scoring System (WPSS), Rapid Acute Physiology Score (RAPS), Rapid Emergency Medicine Score (REMS), Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), Glasgow Coma Scale, Age, and Systolic Blood Pressure score (GAPS) ,Glasgow coma scale (GCS) in prediction of mortality were 0.95, 0.95, 0.83, 0.89, 0.91, 0.84, 0.77, 0.97, and 0.98 respectively. The performance of GCS was statistically superior to RTS (P=0.005), WPSS (P=0.0001), RAPS (P=0.0002), REMS (P=0.002), MEWS (P<0.0001), and NEWS (P<0.0001). However, the performance of GCS, NTS (P=0.146), and GAPS (P=0.513) were not significantly different. Also, in prediction of poor outcomes, the AUC of GCS (0.98) was significantly higher than RTS (0.95), RAPS (0.85), REMS (0.85), MEWS (0.84), NEWS (0.77), and WPSS (0.75).Conclusion:The GCS score seems to be a better instrument to predict mortality and poor outcome in trauma patients compared to other tools due to its high accuracy, wide application, and easy calculation.

Objectives. The hospital mortality from acute poisoning in the western world is approximately 0.6%. However, this figure is based on series of consecutive cases, including mild intoxications. The aim of this paper was to investigate the mortality among poisoned patients with CNS depression on admission. Design. This report is based on two case series. One observational study of 352 prospectively included cases of poisoning with a Glasgow coma scale (GCS) score ≤ 10 at presentation during the 2-year-period 2003–2005, and one retrospective review of all poisonings admitted to a hospital in Stockholm 2009–2011. Results. The observational study showed a hospital mortality rate of 2.8%. Nine of the 10 fatalities had a GCS score below 7 on admission. The more recent retrospective review consisted of 1314 cases of poisoning of whom 419 (32%) had a GCS score ≤ 10 on admission. The hospital mortality among these 419 cases was 2.4%. All 10 deaths in this cohort had a GCS score below 7 at presentation. The subgroup of patients pooled from both case series with a GCS score of 3–6 (n = 444) had a mortality rate of 4.3%. Conclusions. Based on the findings in this report, and on a literature search, about 30% of hospitalized poisonings have a significant CNS depression on admission. Based on our experience, cases of poisoning with a GCS score of 7–10 on admission do not seem to have a worse prognosis than poisonings in general. However, cases of poisoning presenting with deeper coma (GCS score 3–6) have a mortality rate approximately seven times higher than the overall hospital mortality from acute poisoning.

Several models exist to predict trauma center need in the prehospital setting; however, there is lack of simple clinical tools to predict the need for ICU admission and mortality in trauma patients. The aim of our study was to develop a simple clinical tool that can be used with ease in the prehospital or emergency setting and can reliably predict the need for ICU admission and mortality in trauma patients. We abstracted one year of National Trauma Data Bank for all patients aged ≥ 18 years. Transferred patients and those dead on arrival were excluded. Patient demographics, injury parameters, vital signs, and Glasgow Coma Scale (GCS) were recorded. Our primary outcome measures were mortality and ICU admission. Logistic regression analysis was performed using three variables (age > 55 years, shock index (SI) > 1, and GCS score) to determine the appropriate weights for predicting mortality. Appropriate weights derived from regression analysis were used to construct a simple SI, age, and GCS (SAG) score, and associated mortality and ICU admissions were calculated for three different risk groups (low, intermediate, and high). A total of 281,522 patients were included. The mean age was 47 ± 20 years, and 65 per cent were male. The overall mortality rate was 2.9 per cent, and the rate of ICU admission was 28.7 per cent. The SAG score was constructed using weights derived from regression analysis for age ≤ 55 years (4 points), SI < 1 (3 points), and GCS (3-15 points). The median [IQR] SAG score was 21 [18-22]. The area under the receiver operating curve [95% Confidence Interval (CI)] of the SAG score for predicting mortality and ICU admission was 0.873 [0.870-0.877] and 0.644 [0.642-0.647], respectively. Each 1-point increase in the SAG score was associated with 18 per cent lower odds of mortality (odds ratio [95% CI]: 0.822 [0.820-0.825]) and 10 per cent lower odds of ICU admission (odds ratio [95% CI]: 0.901 [0.899-0.902]). The SAG score is a simple clinical tool derived from variables that can be assessed with ease during the initial evaluation of trauma patients. It provides a rapid assessment and can reliably predict mortality and need for ICU admission in trauma patients. This simple tool may allow early resource mobilization possibly even before the arrival of the patient.

Recent randomized prospective data suggest that early hyperglycemia is associated with excess mortality in critically ill patients, and tight glucose control leads to improved outcome. This concept has not been carefully examined in trauma patients, and the relationship of early hyperglycemia to mortality from sepsis in this population is unclear. The objective of this study was to determine the relationship different levels of early blood glucose elevation to outcome in a trauma ICU population. The records of all patients admitted to the ICU over a 2-year period at a Level I trauma center were reviewed for age, injury severity scores (ISS), admission Glasgow Coma Scale (GCS) score, base deficit (BD), blood glucose, and mortality. Three possible cutoffs in defining hyperglycemia were examined (glucose > or =110 mg/dL, > or =150 mg/dL, > or =200 mg/dL) in relation to infection and mortality. Early hyperglycemia was defined as elevated blood glucose on hospital days 1 or 2. Those with diabetes mellitus were excluded. From 1/00-12/01, 516 eligible patients were admitted to the ICU after injury. Early hyperglycemia occurred in 483 at the > or =110 mg/dL level, 311 at the > or =150 mg/dL level, and 90 patients at the > or =200 mg/dL level. Univariate logistic regression demonstrated a significant relationship between ISS and subsequent infection(p = 0.02) and a trend toward such a relationship in GCS score, glucose > or =150 mg/dL, and glucose > or =200 mg/dL (p = 0.06, 0.12, and 0.06). A similar analysis for the relationship of these variables to eventual mortality showed a significant correlation with all examined variables except glucose > or =110 mg/dL. Multiple logistic regression to control for the effect of age, ISS, GCS score, and BD found early glucose > or =200 mg/dL to be an independent predictor of both infection and mortality while no such relationship was found with > or = 110 mg/dL or > or =150 mg/dL. Early hyperglycemia as defined by glucose > or =200 mg/dL is associated with significantly higher infection and mortality rates in trauma patients independent of injury characteristics. This was not true at the cutoffs of > or =110 mg/dL or > or =150 mg/dL. These data support the need for a prospective analysis of tight glucose control, keeping serum glucose <200 mg/dL in critically ill trauma patients. However, aggressive maintenance of levels <110 mg/dL as reported by others may not be necessary.

The importance of tracheostomy to the weaning success in patients with conscious disturbance in the respiratory care center

This study compared early serum levels of ubiquitin C-terminal hydrolase (UCH-L1) from patients with mild and moderate traumatic brain injury (TBI) with uninjured and injured controls and examined their association with traumatic intracranial lesions on computed tomography (CT) scan (CT positive) and the need for neurosurgical intervention (NSI). This prospective cohort study enrolled adult patients presenting to three tertiary care Level I trauma centers after blunt head trauma with loss of consciousness, amnesia, or disorientation and a Glasgow Coma Scale (GCS) score 9 to 15. Control groups included normal uninjured controls and nonhead injured trauma controls presenting to the emergency department with orthopedic injuries or motor vehicle crash without TBI. Blood samples were obtained in all trauma patients within 4 hours of injury and measured by enzyme-linked immunosorbent assay for UCH-L1 (ng/mL ± standard error of the mean). There were 295 patients enrolled, 96 TBI patients (86 with GCS score 13-15 and 10 with GCS score 9-12), and 199 controls (176 uninjured, 16 motor vehicle crash controls, and 7 orthopedic controls). The AUC for distinguishing TBI from uninjured controls was 0.87 (95% confidence interval [CI], 0.82-0.92) and for distinguishing those TBIs with GCS score 15 from controls was AUC 0.87 (95% CI, 0.81-0.93). Mean UCH-L1 levels in patients with CT negative versus CT positive were 0.620 (± 0.254) and 1.618 (± 0.474), respectively (p < 0.001), and the AUC was 0.73 (95% CI, 0.62-0.84). For patients without and with NSI, levels were 0.627 (0.218) versus 2.568 (0.854; p < 0.001), and the AUC was 0.85 (95% CI, 0.76-0.94). UCH-L1 is detectable in serum within an hour of injury and is associated with measures of injury severity including the GCS score, CT lesions, and NSI. Further study is required to validate these findings before clinical application. II, prognostic study.

Background: Trauma injury scoring systems are essential for standardized assessment, treatment decisions, and outcome prediction in trauma patients. The mechanism, Glasgow Coma Scale (GCS), age, and arterial pressure (MGAP) score offers a simplified approach that is particularly beneficial in resource-limited settings. This study aims to determine the association between the MGAP scoring system and mortality outcomes in trauma patients presenting to the trauma emergency unit (TEU) in a resource-limited setting. Objective: To determine the association between the MGAP scoring system and mortality outcomes in trauma patients presenting to the trauma emergency unit (TEU) in a resource-limited setting. Methods: A retrospective record review was conducted on priority 1 (P1) trauma patients aged 18 years or older who presented to the TEU of a hospital between 1 January 2022 and 31 December 2022. Data extracted from the TEU resuscitation register included age, sex, mechanism of injury, blood pressure (BP), and Glasgow Coma Scale (GCS). The primary outcome was survival versus death. MGAP scores were calculated, and statistical analyses were performed to assess the association between MGAP scores and mortality. Results: A total of 1220 patients were included in this study. The analysis revealed a statistically significant association between MGAP scores and mortality (p &lt; 0.0001). Lower MGAP scores were associated with higher mortality rates. Specifically, patients with MGAP scores ≤ 18 had a mortality rate of 48.1%, while those with scores between 19 and 22 had a mortality rate of 23.5%. The mortality rate was 2.2% for MGAP scores between 23 and 29, and 0% for scores ≥ 30. GCS score and systolic blood pressure were also significantly associated with mortality (p &lt; 0.0001 and p &lt; 0.05, respectively), while the mechanism of injury was not significantly associated with mortality. Conclusions: The MGAP score is a valuable tool for risk stratification in trauma patients in resource-constrained settings, demonstrating a strong inverse correlation with mortality outcomes. Its simplicity and reliance on readily available parameters make it particularly useful for rapid triage and resource allocation in LMICs. These findings support the implementation of the MGAP score in trauma triage protocols and highlight the need for further research to validate its performance in diverse LMIC settings and explore its potential for integration into national trauma care guidelines.

The frailty index (FI) has been shown to predict outcomes in geriatric patients. However, FI has never been applied as a prognostic measure after trauma. The aim of our study was to identify hospital admission factors predicting discharge disposition in geriatric trauma patients. We performed a 1-year prospective study at our Level 1 trauma center. All trauma patients 65 years or older were enrolled. FI was calculated using 50 preadmission variables. Patient's discharge disposition was dichotomized as favorable outcome (discharge home, rehabilitation) or unfavorable outcomes (discharge to skilled nursing facility, death). Multivariate logistic regression was performed to identify factors that predict unfavorable outcome. A total of 100 patients were enrolled, with a mean (SD) age of 76.51 (8.5) years, 59% being males, median Injury Severity Score (ISS) of 14 (range, 9-18), median head Abbreviated Injury Scale (h-AIS) score of 2 (2-3), and median Glasgow Coma Scale (GCS) score of 13 (12-15). Of the patients, 69% had favorable outcome, and 31% had unfavorable outcome. On univariate analysis, FI was found to be a significant predictor for unfavorable outcome (odds ratio, 1.8; 95% confidence interval, 1.2-2.3). After adjusting for age, ISS, and GCS score in a multivariate regression model, FI remained a strong predictor for unfavorable discharge disposition (odds ratio, 1.3; 95% confidence interval, 1.1-1.8). The concept of frailty can be implemented in geriatric trauma patients with similar results as those of nontrauma and nonsurgical patients. FI is a significant predictor of unfavorable discharge disposition and should be an integral part of the assessment tools to determine discharge disposition for geriatric trauma patients. Prognostic study, level II.

The data concerning a consecutive series of 4,536 adult patients suffering from minor head injuries treated at the Department of Neurosurgery over a period of one year are reported. The patients' age, sex and the circumstances of the injury have been taken into consideration. The patients, according to the new method, were divided into four groups. Group 0 (3,864 patients) included all patients with Glasgow Coma Scale (GCS) score 15. They did not present any clinical features such as loss of consciousness (LOC), post-traumatic amnesia (PTA), headache or vomiting. No risk factors (RF) such as coagulopaties, alcoholism, drug abuse, epilepsy, previous neurological treatment or disabled elderly patients were detected. Group 1 (600 patients) included patients with GCS score 15. The patients presented one or more clinical features (LOC, PTA, headache, vomiting). No RF were presented. Group 2 (24 patients) included patients with GCS score 14 with or without clinical features (LOC, PTA, headache, vomiting) and with or without RF. Group 0-1R (48 patients) included patients with GCS score 15 with or without clinical features (LOC, PTA, headache, vomiting). All of them presented RF. The presence of focal neurological signs, open injury and GCS score < or = 13 were considered criteria for exclusion. All the patients from groups 1, 0-1R, 2 and 187 patients from group 0 underwent CT scan for a total of 859 exams which are analyzed and discussed. 458 patients were admitted and are divided as follows: 216 from group 0, 192 from group 1, 26 from group 0-1R and all the 24 belonging to group 2. Six patients were treated surgically (3 extradural haematomas, 2 lobe contusions, 1 acute subdural haematoma) and one of them (0.02% of the total) died (extradural haematoma). The patients who were not admitted were sent home with an information sheet after at least a six hour observation period. The authors draw the conclusion that they have evaluated the applicability and efficacy of guidelines, developed by the study group on head injury of the Italian Society of Neurosurgery. A critical part of our guidelines is not only to identify all the intracranial lesions, but to identify patients harbouring relevant intracranial mass before clinical deterioration.

Background Traumatic brain injury (TBI) remains a major health concern in Indonesia, where the burden is strongly associated with motorcycle-related traffic accidents, limited neurocritical care facilities, and unequal access to rehabilitation. This study aimed to analyze clinical patterns, disability risk factors, and long-term quality of life outcomes in Indonesian TBI patients, with a focus on the role of Glasgow Coma Scale (GCS) scores, clinical predictors, and socioeconomic disparities. Methods A prospective cohort study was conducted at Hasan Sadikin Hospital, Bandung, from March 2021 to March 2025, involving 128 patients with moderate-to-severe TBI (GCS ≤ 12). Diagnosis was confirmed through cranial CT scans and clinical assessments. Data collection included baseline neurological evaluations (GCS, GOSE, MoCA), neuroimaging (CT/MRI), and biannual SF-36 quality-of-life surveys. Statistical analyses were performed using chi-square tests and effect size calculations with SPSS version 29. Results Low admission GCS scores (3–8) were the strongest predictor of long-term disability (74.2% of cases; p &lt; 0.001), followed by diffuse axonal injury (DAI) ( p = 0.02) and comorbidities ( p = 0.03). Surgical intervention (70.3% of cases) did not significantly reduce disability risk compared to conservative management ( p = 0.16). At the five-year follow-up, patients with mild injuries (GCS 13–15) reported higher quality-of-life outcomes, particularly in the physical (mean = 79.1) and mental (mean = 80.4) domains. Socioeconomic disadvantages, limited neurocritical resources, and cultural stigma toward disability further contributed to poor recovery in severe TBI patients. Conclusions In Indonesia, initial injury severity (GCS 3–8), DAI, and comorbidities are major predictors of long-term disability. Higher GCS scores correlate with improved quality of life, highlighting the urgent need for road safety programs targeting motorcycle users, standardized time-sensitive clinical protocols, and integrated rehabilitation systems. Larger multicenter studies are warranted to provide broader national insights.

Objectives The adverse role of accidental hypothermia in trauma patients has been studied for decades while patients undergoing prehospital tracheal intubation are at particular risk due to impaired temperature autoregulation. The primary objective of the study was to determine the prevalence and risk factors associated with admission hypothermia (body temperature <35 °C) at the emergency department. Secondary objectives included the assessment of the association of hypothermia with all-cause mortality, transfusion requirement, intensive care unit length of stay (ICU LOS), and duration of mechanical ventilation. Methods In a single-center retrospective analysis, trauma patients aged ≥16 years undergoing prehospital tracheal intubation were analyzed for admission temperature between 2008 and 2022. Multivariable logistic regression analyses and linear regression analyses were used to examine the association between risk factors, hypothermia, and outcomes. Results A total of 851 patients (72% male) with a median age of 50 years, a median injury severity score (ISS) of 27 points, and a 30-day mortality of 30% were included. The median admission body temperature was 35.1 °C, and 366 patients (43%) were hypothermic. Independent risk factors for hypothermia were outside temperature (OR 1.03 per one degree Celsius decrease, 95% CI 1.01 to 1.05), helicopter transport (OR 2.36, 95% CI 1.68 to 3.33), ISS score (OR 1.03, 95% CI 1.01 to 1.04), admission shock (OR 3.48, 95% CI 2.27 to 5.34), admission acidosis (OR 1.69, 95% CI 1.04 to 2.73), and admission coagulopathy (OR 1.85, 95% CI 1.25 to 2.76). Multivariable outcome analyses revealed significant associations of hypothermia with 24-h mortality (OR 6.6, 95% CI 3.2 to 13.64), 30-day mortality (OR 3.81, 95% CI 2.35 to 6.18), massive transfusion (OR 2.94, 95% CI 1.78 to 4.86), ICU LOS in survivors (beta weight 3.15, 95% CI 0.73 to 5.58) and duration of mechanical ventilation in survivors (beta weight 2.65, 95% CI 0.89 to 4.41). Conclusions The present findings suggest that a significant proportion of trauma patients who require prehospital tracheal intubation experience hypothermia, which is associated with critical injury severity and high mortality rates. These associations suggest the potential for implementing preventive measures and rewarming strategies until arrival at the emergency department, necessitating further investigation.

Objective To compare the scanning frequencies of patients with severe craniocerebral pathological injury with bedside mobile CT (MCT) in neurosurgical intensive care unit (NICU) or with conventional CT (CCT) in Radiology, and investigate the effects of MCT and CCT scanning on secondary cerebral injury and therapeutic results in patients with severe craniocerebral injury. Methods A total of 1917 patients with severe craniocerebral injury, admitted to our hospital from August 2010 to December 2015, under went MCT bedside scanning. And other 593 patients with severe craniocerebral injury were scanned with CCT in radiology. According to Glasgow coma scale (GCS) scores, the patients with severe craniocerebral injury were divided into extra- heavy subgroup (GCS scores: 3-5) and heavy subgroup (GCS scores: 6-8); the CT scanning frequencies, secondary cerebral pathological damages and Glasgow outcome scale scores 3 months after injury were analyzed and compared. Results The average scanning frequencies of MCT were 5.12 and 4.88 in patients from extra- heavy subgroup and heavy subgroup while the average scanning frequencies of CCT were 3.53 and 4.08 in patients from extra-heavy subgroup and heavy subgroup, with significant differences (P< 0.05); patients accepted MCT had significantly higher scanning frequencies than those accepted CCT (P<0.05). The average scanning frequencies of patients from MCT group were significantly higher than those from CCT group. The incidence of complications was 3.32% and 0% in extra-heavy subgroupand heavy subgroup from MCT group, respectively; but the incidence of complications was 26.87% and 18.82% in extra- heavy subgroup and heavy subgroup from CCT group; significant differences were noted (P<0.05). GOS showed that the mortality rates (GOS score: 1) for the extra-heavy subgroup and heavy subgroup from MCT group were 53.08% and 17.88%, while those for CCT group were 67.16% and 26.80%, with significant differences (P<0.05). The severe disability rates (GOS scores: 2-3) for the extra-heavy subgroup and heavy subgroup from MCT group were 21.12% and 13.48%, while those for CCT group were 26.87% and 20.72%, with significant differences (P<0.05). The good recovery rates (GOS scores: 4-5) for the extra-heavy subgroup and heavy subgroup from MCT group were 25.12% and 68.64%, respectively, while those for CCT group were 5.97% and 52.47%, with significant differences (P<0.05). Conclusion The operation of MCT bedside scanning is simple, safe and reliable in the NICU, enjoying good clinical effects as compared with CCT scanning. Key words: Craniocerebral injury; Mobile CT; Secondary cerebral injury; Glasgow coma scale; Glasgow outcome scale

BackgroundThe Glasgow Coma Scale (GCS) score of an individual with hypoglycemia is expected to be low due to an insufficient glucose supply to the brain. However, we sometimes encounter hypoglycemic patients with high GCS scores. This study was undertaken to analyze the relationship between the GCS score and the plasma glucose level.MethodsAmong the patients with neurological impairments admitted to our institution between October 1, 2010 and March 31, 2013, the cases of 41 hypoglycemic patients were examined in this retrospective cohort study. The defined plasma glucose level for mild hypoglycemia was 41–60 mg/dL, that for moderate hypoglycemia was 21–40 mg/dL, and that for extreme hypoglycemia was below 20 mg/dL. We divided the patients into two groups: those with mild hypoglycemia (n = 14) and those with moderate/extreme hypoglycemia (n = 27). We compared the two groups' physiological data and assessed the relationship between the GCS score and the plasma glucose level by Spearman rank correlation (ρ), the significance of which was determined by Spearman's rank sum test. We used the Mann-Whitney U-test and the chi-square (χ2) test to test for differences between the two groups when appropriate.ResultsThree hundred twenty-six patients with neurological impairments were admitted during the study period, and 41were eligible hypoglycemic patients. The GCS scores of the 14 patients with mild hypoglycemia were significantly higher than those of the 27 patients with moderate or extreme hypoglycemia (median score 12, range 7–15 vs. 10, 3–15, p = 0.0367). There were no significant differences in physiological data (including autonomic symptoms) between the two groups. Spearman's rank sum test was 0.491 in the total group of 41 hypoglycemic patients, 0.053 in the mild hypoglycemic patients, and 0.493 in the moderately or extremely hypoglycemic patients.ConclusionsThe relationship between the GCS score and the plasma glucose level differed according to the severity of hypoglycemia. Even when a patient has a high GCS score, careful assessment of differential diagnosis should be conducted and the possibility of hypoglycemia should be considered in light of his or her neurogenous symptoms.