Neuroanatomical predictors of awakening in acutely comatose patients.

OBJECTIVE: Lateral brain displacement has been associated with loss of consciousness and poor outcome in a range of acute neurologic disorders. We studied the association between lateral brain displacement and awakening from acute coma. METHODS: This prospective observational study included all new onset coma patients admitted to the Neurosciences Critical Care Unit (NCCU) over 12 consecutive months. Head computed tomography (CT) scans were analyzed independently at coma onset, after awakening, and at follow-up. Primary outcome measure was awakening, defined as the ability to follow commands before hospital discharge. Secondary outcome measures were discharge Glasgow Coma Scale (GCS), modified Rankin Scale, Glasgow Outcome Scale, and hospital and NCCU lengths of stay. RESULTS: Of the 85 patients studied, the mean age was 58 ± 16 years, 51% were female, and 78% had cerebrovascular etiology of coma. Fifty-one percent of patients had midline shift on head CT at coma onset and 43 (51%) patients awakened. In a multivariate analysis, independent predictors of awakening were younger age (odds ratio [OR] = 1.039, 95% confidence interval [CI] = 1.002-1.079, p = 0.040), higher GCS score at coma onset (OR = 1.455, 95% CI = 1.157-1.831, p = 0.001), nontraumatic coma etiology (OR = 4.464, 95% CI = 1.011-19.608, p = 0.048), lesser pineal shift on follow-up CT (OR = 1.316, 95% CI = 1.073-1.615, p = 0.009), and reduction or no increase in pineal shift on follow-up CT (OR = 11.628, 95% CI = 2.207-62.500, p = 0.004). INTERPRETATION: Reversal and/or limitation of lateral brain displacement are associated with acute awakening in comatose patients. These findings suggest objective parameters to guide prognosis and treatment in patients with acute onset of coma.

Chronic impact of traumatic brain injury on outcome and quality of life: a narrative review.

Traditionally seen as a sudden, brutal event with short-term impairment, traumatic brain injury (TBI) may cause persistent, sometimes life-long, consequences. While mortality after TBI has been reduced, a high proportion of severe TBI survivors require prolonged rehabilitation and may suffer long-term physical, cognitive, and psychological disorders. Additionally, chronic consequences have been identified not only after severe TBI but also in a proportion of cases previously classified as moderate or mild. This burden affects the daily life of survivors and their families; it also has relevant social and economic costs.Outcome evaluation is difficult for several reasons: co-existing extra-cranial injuries (spinal cord damage, for instance) may affect independence and quality of life outside the pure TBI effects; scales may not capture subtle, but important, changes; co-operation from patients may be impossible in the most severe cases. Several instruments have been developed for capturing specific aspects, from generic health status to specific cognitive functions. Even simple instruments, however, have demonstrated variable inter-rater agreement.The possible links between structural traumatic brain damage and functional impairment have been explored both experimentally and in the clinical setting with advanced neuro-imaging techniques. We briefly report on some fundamental findings, which may also offer potential targets for future therapies.Better understanding of damage mechanisms and new approaches to neuroprotection-restoration may offer better outcomes for the millions of survivors of TBI.

Hydrocephalus associated with childhood nonaccidental head trauma.

OBJECTIVE The incidence of posttraumatic ventriculomegaly (PTV) and shunt-dependent hydrocephalus after nonaccidental head trauma (NAHT) is unknown. In the present study, the authors assessed the timing of PTV development, the relationship between PTV and decompressive craniectomy (DC), and whether PTV necessitated placement of a permanent shunt. Also, NAHT/PTV cases were categorized into a temporal profile of delay in admission and evaluated for association with outcomes at discharge. METHODS The authors retrospectively reviewed the cases of patients diagnosed with NAHT throughout a 10-year period. Cases in which sequential CT scans had been obtained (n = 28) were evaluated for Evans' index to determine the earliest time ventricular dilation was observed. Discharge outcomes were assessed using the King's Outcome Scale for Childhood Head Injury score. RESULTS Thirty-nine percent (11 of 28) of the patients developed PTV. A low admission Glasgow Coma Scale (GCS) score predicted early PTV presentation (within < 3 days) versus a high GCS score (> 1 week). A majority of PTV/NAHT patients presented with a subdural hematoma (both convexity and interhemispheric) and ischemic stroke, but subarachnoid hemorrhage was significantly associated with PTV/NAHT (p = 0.011). Of 6 patients undergoing a DC for intractable intracranial pressure, 4 (67%) developed PTV (p = 0.0366). These patients tended to present with lower GCS scores and develop ventriculomegaly early. Only 2 patients developed hydrocephalus requiring shunt placement. CONCLUSIONS PTV presents early after NAHT, particularly after a DC has been performed. However, the authors found that only a few PTV/NAHT patients developed shunt-dependent hydrocephalus.

Decompressive craniectomy: contralateral lesions and metabolic abnormalities.

OBJECTIVE: To define the incidence of new contralateral intracranial lesions following decompressive hemicraniectomy for blunt traumatic brain injury, and explore the potential association with metabolic factors that contribute to coagulopathy. METHODS: We retrospectively reviewed the records and imaging of all patients treated with hemicraniectomy for blunt traumatic brain injury at our institution from May 2007 up to and including January 2012. RESULTS: Twenty patients were identified during the time period to have undergone decompressive craniectomy for blunt head injury. The average age and Glasgow Coma Scale on presentation was 44.1 years (range: 19 ­ 72 years) and 6.5 (range: 3 ­ 14) respectively. All but one patient presented with an extra-axial hematoma as their surgical indication for craniectomy. Seven patients (35.0%) developed new contralateral lesions post-craniectomy. The average peri-operative pH, bicarbonate (HCO3) and hematocrit (HCT) levels for those with new contralateral lesions were lower than those without new lesions. Five of the seven patients (71.4%) with new lesions had abnormalities on their laboratory results that have been know to be attributable to coagulopathy, with four (57.1%) having two or more abnormal results. Eight of 13 (61.5%) patients without new lesion had laboratory abnormalites, with five (38.5%) having two or more abnormalities identified. CONCLUSIONS: The incidence of new contralateral lesions post-craniectomy for blunt head injury is 35.0% in our experience. There is an association between the metabolic derangements linked to trauma related coagulopathy and the formation of new lesions.

Glasgow Coma Scale for outcome prediction after cardiac surgery: is it applicable?

OBJECTIVES: The Glasgow Coma Scale (GCS) is used commonly for assessing patients' neurologic condition and outcome in intensive care units (ICUs); however, its reliability in cardiac surgical patients has been questioned. It has been claimed that active sedation is the cause of its unsuitability for these patients. This study aimed to compare the accuracy of GCS in cardiac surgical patients with and without active sedation to find out if the inapplicability of GCS in surgical patients is related to active sedation. DESIGN: This was an observational cohort study. SETTING: The study was conducted in a cardiac surgical intensive care unit between January 1, 2007 and December 31, 2009. PARTICIPANTS: All consecutive adult cardiac surgical patients were included in this study. INTERVENTIONS: All types of cardiac surgical procedures performed during the study period were included without any exceptions. The study population was divided into 2 groups: sedated and non-sedated. MEASUREMENTS AND MAIN RESULTS: GCS was calculated daily for the first 7 postoperative days. The authors developed a new 4-point neurologic descriptor (ND): (1) neurologically free, (2) ICU psychosis, (3) actively sedated, and (4) documented focal neurologic deficits. The accuracy of both scales (GCS and ND) at predicting ICU mortality was compared by replacing the GCS in the Sequential Organ Failure Assessment (SOFA) score with the new ND, producing a modified SOFA. GCS was not an accurate outcome predictor in non-sedated or sedated patients. The ND was superior to GCS. Correspondingly, the modified SOFA showed a significantly higher accuracy of ICU-mortality prediction than the original SOFA. CONCLUSIONS: Regardless of active sedation, GCS is not accurate at outcome prediction for cardiac surgical patients. The suggested ND is a simple and more accurate risk stratification variable in cardiac surgical ICUs.

Complexity of intracranial pressure correlates with outcome after traumatic brain injury.

This study applied multiscale entropy analysis to investigate the correlation between the complexity of intracranial pressure waveform and outcome after traumatic brain injury. Intracranial pressure and arterial blood pressure waveforms were low-pass filtered to remove the respiratory and pulse components and then processed using a multiscale entropy algorithm to produce a complexity index. We identified significant differences across groups classified by the Glasgow Outcome Scale in intracranial pressure, pressure-reactivity index and complexity index of intracranial pressure (P < 0.0001; P = 0.001; P < 0.0001, respectively). Outcome was dichotomized as survival/death and also as favourable/unfavourable. The complexity index of intracranial pressure achieved the strongest statistical significance (F = 28.7; P < 0.0001 and F = 17.21; P < 0.0001, respectively) and was identified as a significant independent predictor of mortality and favourable outcome in a multivariable logistic regression model (P < 0.0001). The results of this study suggest that complexity of intracranial pressure assessed by multiscale entropy was significantly associated with outcome in patients with brain injury.

Extradural hematoma in children: case series of 33 patients.

BACKGROUND: Conservative management of extradural hematomas (EDH) is relatively recent in the literature and there are few papers reporting on the pediatric population. OBJECTIVE: We conduct a 20-month assessment of the treatment administered for EDH at a pediatric intensive care unit (PICU). METHODS: A retrospective case series in the period described above. The main variables studied were the weight and age of the patients, the Pediatric Trauma Score, the mechanism of injury, clinical features, CT findings and the Glasgow Coma Scale score on arrival, and after 12 and 24 h. Also analyzed was whether during primary care either surgical intervention or initial conservative management was recommended. RESULTS: In the 20 months analyzed, 33 EDH patients were admitted to the PICU. Patients had a mean age of 7.42 ± 4.66 years, mean weight of 31.16 ± 16.16 kg and mean Pediatric Trauma Scores of 7.03 ± 3.71. Out of the total sample, surgery was indicated in 12 patients (36.4%) in primary care and 21 patients (63.6%) were treated with initial conservative management. Most of the patients who were given conservative treatment had a Glasgow Coma Scale score of 15 on arrival and maintained this level throughout the hospital stay. The most prevalent sites of the hematomas were the temporal and parietal regions and the most common associated injury was skull fracture. CONCLUSION: In this case series, conservative treatment of EDH was most frequent; however, which factors are involved in this decision has to be better studied.

Towards development of a survival prediction tool for pediatric head injury.

BACKGROUND: The ability to provide an accurate prognosis for children with traumatic brain injury (TBI) would be useful for the children's families and the caregivers. In this study we examined whether an appropriate mathematical model can predict survival in this patient population. METHODS: Data from the Children's Hospital of Eastern Ontario (CHEO) TBI registry was analyzed. First, a series of univariate logistic regressions was performed to ascertain the significance of individual predictors, such as age, maximum Glasgow Coma Scale (GCS) score, maximum head injury Abbreviated Injury Scores (AIS) and the Injury Severity Score (ISS). Second, a multinomial logistic regression was fitted using only individually significant predictors and inmodel predictor significance, and interactions were tested. Only two significant predictors were kept in the final model. This final model was subsequently used to predict survival for each individual patient using the n-1 training set (i.e. Lachenbruch's leave-one-out method). The receiver operating characteristics (ROC) method was used to ascertain specificity-sensitivity trade-offs at different probability cut-offs in order to predict survival. RESULTS: Only the maximum GCS and head injury AIS remained significant, both individually and in the polynomial logistic regression. Empiric ROC curve analyses from leave-one-out survival predictions showed statistical significance (area under the curve = 0.87, Z = 6.8, p < 0.001). Only 12% of cases were misclassified using the 'best' cut-off. CONCLUSION: An outcome predictive model for pediatric TBI can be devised using an appropriate mathematical model. It may help to estimate expected outcomes in pediatric TBI more objectively.

Predictors of Mortality, Withdrawal of Life-Sustaining Measures, and Discharge Disposition in Octogenarians with Subdural Hematomas.

OBJECTIVE: Risk factors for mortality in patients with subdural hematoma (SDH) include poor Glasgow Coma Scale (GCS) score, pupil nonreactivity, and hemodynamic instability on presentation. Little is published regarding prognosticators of SDH in the elderly. This study aims to examine risk factors for hospital mortality and withdrawal of life-sustaining measures in an octogenarian population presenting with SDH. METHODS: A prospectively collected multicenter database of 3279 traumatic brain injury admissions to 45 different U.S. trauma centers between 2017 and 2019 was queried to identify patients aged >79 years old presenting with SDH. Factors collected included baseline demographic data, past medical history, antiplatelet/anticoagulant use, and clinical presentation (GCS, pupil reactivity, injury severity scale [ISS]). Primary outcome data included hospital mortality/discharge to hospice care and withdrawal of life-sustaining measures. Multivariate logistic regression analyses were used to identify factors independently associated with primary outcome variables. RESULTS: A total of 695 patients were isolated for analysis. Of the total cohort, the rate of hospital mortality or discharge to hospice care was 22% (n = 150) and the rate of withdrawal of life-sustaining measures was 10% (n = 66). A multivariate logistic regression model identified GCS <13, pupil nonreactivity, increasing ISS, intraventricular hemorrhage, and neurosurgical intervention as factors independently associated with hospital mortality/hospice. Congestive heart failure (CHF), hypotension, GCS <13, and neurosurgical intervention were independently associated with withdrawal of life-sustaining measures. CONCLUSIONS: Poor GCS, pupil nonreactivity, ISS, and intraventricular hemorrhage are independently associated with hospital mortality or discharge to hospice care in patients >80 years with SDH. Pre-existing CHF may further predict withdrawal of life-sustaining measures.

Combination of Neutrophil-to-Lymphocyte Ratio and Admission Glasgow Coma Scale Score Is Independent Predictor of Clinical Outcome in Diffuse Axonal Injury.

BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR) is an independent predictor of clinical outcome of different diseases, such as acute ischemic stroke, intracerebral hemorrhage, malignant tumor, and traumatic brain injury. However, the prognostic value of NLR plus admission Glasgow Coma Scale score (NLR-GCS) is still unclear in patients with diffuse axonal injury (DAI). Therefore this study assessed the relationship between the NLR-GCS and 6-month outcome of DAI patients. METHODS: The clinical characteristics of DAI patients admitted to our department between January 2014 and January 2020 were retrospectively analyzed. The candidate risk factors were screened by using univariate analysis, and the independence of resultant risk factors was evaluated by the binary logistic regression analysis and least absolute shrinkage and selection operator regression analysis. The predictive value of NLR-GCS in an unfavorable outcome was assessed by the receiver operating characteristics curve analysis. RESULTS: A total of 93 DAI patients were included. Binary logistic regression analysis and least absolute shrinkage and selection operator regression analysis showed the level of NLR on admission was an independent risk factor of unfavorable outcomes in DAI patients. The ROC curve analysis showed that the predictive capacity of the combination of NLR and admission GCS score and combination of NLR and coma duration outperformed NLR, admission GCS score, and coma duration alone. CONCLUSIONS: The higher NLR level on admission is independently associated with unfavorable outcomes of DAI patients at 6 months. Furthermore, the combination of NLR and admission GCS score provides the superior predictive capacity to either NLR or GCS alone.

Predicting the Poor Recovery Risk of Aneurysmal Subarachnoid Hemorrhage: Clinical Evaluation and Management Based on a New Predictive Nomogram.

PURPOSE: To develop and validate a model for identifying the risk factors of poor recovery in patients with aneurysmal subarachnoid hemorrhage (aSAH). METHODS: A prediction model was developed using training data obtained from 1577 aSAH patients from multiple centers. The patients were followed for 6 months on average and assessed using the modified Rankin Scale; patient information was collected with a prospective case report form. The least absolute shrinkage and selection operator regression were applied to optimize factor selection for the poor recovery risk model. Multivariable logistic regression, incorporating the factors selected in the previous step, was used for model predictions. Predictive ability and clinical effectiveness of the model were evaluated using C-index, receiver operating characteristic curve, and decision curve analysis. Internal validation was performed using the C-index, taking advantage of bootstrapping validation. RESULTS: The predictors included household income per capita, hypertension, smoking, migraine within a week before onset, Glasgow Coma Scale at admission, average blood pressure at admission, modified Fisher score at admission, treatment method, and complications. Our newly developed model made satisfactory predictions; it had a C-index of 0.796 and an area under the receiver operating characteristic curve of 0.784. The decision curve analysis showed that the poor recovery nomogram was of clinical benefit when an intervention was decided at a poor recovery threshold between 2% and 50%. Internal validation revealed a C-index of 0.760. CONCLUSION: Our findings indicate that the novel poor recovery nomogram may be conveniently used for risk prediction in aSAH patients. For patients with intracranial aneurysms, migraine needs to be vigilant. Quitting smoking and blood pressure management are also beneficial.

Fibrinolytic Activation in Patients with Progressive Intracranial Hemorrhage after Traumatic Brain Injury.

Progression of intracranial hemorrhage (PICH) is a significant cause of secondary brain injury in patients with traumatic brain injury (TBI). Previous studies have implicated a variety of mediators that contribute to PICH. We hypothesized that patients with PICH would display either a hypocoagulable state, hyperfibrinolysis, or both. We conducted a prospective study of adult trauma patients with isolated TBI. Blood was obtained for routine coagulation assays, platelet count, fibrinogen, thrombelastography, markers of thrombin generation, and markers of fibrinolysis at admission and 6, 12, 24, and 48 h. Univariate analyses were performed to compare baseline characteristics between groups. Linear regression models were created, adjusting for baseline differences, to determine the relationship between individual assays and PICH. One hundred forty-one patients met entry criteria, of whom 71 had hemorrhage progression. Patients with PICH had a higher Injury Severity Score and Abbreviated Injury Scale score (head), a lower Glasgow Coma Scale score, and lower plasma sodium on admission. Patients with PICH had higher D-dimers on admission. After adjusting for baseline differences, elevated D-dimers remained significantly associated with PICH compared to patients without PICH at admission. Hypocoagulation was not significantly associated with PICH in these patients. The association between PICH and elevated D-dimers early after injury suggests that fibrinolytic activation may contribute to PICH in patients with TBI.

Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda.

Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In these low-resource settings, effective triage of patients with TBI-including the decision of whether or not to perform neurosurgery-is critical in optimizing patient outcomes and healthcare resource utilization. Machine learning may allow for effective predictions of patient outcomes both with and without surgery. Data from patients with TBI was collected prospectively at Mulago National Referral Hospital in Kampala, Uganda, from 2016 to 2019. One linear and six non-linear machine learning models were designed to predict good versus poor outcome near hospital discharge and internally validated using nested five-fold cross-validation. The 13 predictors included clinical variables easily acquired on admission and whether or not the patient received surgery. Using an elastic-net regularized logistic regression model (GLMnet), with predictions calibrated using Platt scaling, the probability of poor outcome was calculated for each patient both with and without surgery (with the difference quantifying the "individual treatment effect," ITE). Relative ITE represents the percent reduction in chance of poor outcome, equaling this ITE divided by the probability of poor outcome with no surgery. Ultimately, 1766 patients were included. Areas under the receiver operating characteristic curve (AUROCs) ranged from 83.1% (single C5.0 ruleset) to 88.5% (random forest), with the GLMnet at 87.5%. The two variables promoting good outcomes in the GLMnet model were high Glasgow Coma Scale score and receiving surgery. For the subgroup not receiving surgery, the median relative ITE was 42.9% (interquartile range [IQR], 32.7% to 53.5%); similarly, in those receiving surgery, it was 43.2% (IQR, 32.9% to 54.3%). We provide the first machine learning-based model to predict TBI outcomes with and without surgery in LMICs, thus enabling more effective surgical decision making in the resource-limited setting. Predicted ITE similarity between surgical and non-surgical groups suggests that, currently, patients are not being chosen optimally for neurosurgical intervention. Our clinical decision aid has the potential to improve outcomes.

Influence of alcohol on early Glasgow Coma Scale in head-injured patients.

BACKGROUND: To assess the depressant effects of alcohol on the level of consciousness of patients admitted with head injuries, this study examined the changes that occur in the Glasgow Coma Scale (GCS) of traumatic brain injury patients over time. METHODS: The records of 269 head trauma patients consecutively admitted to the neurosurgery intensive care unit were examined retrospectively. Eighty-one patients were excluded because of incomplete data. The remaining 188 patients were further divided into an intoxicated group (blood alcohol concentration [BAC] ≥ 0.08%, n = 100 [53%]) and a nonintoxicated group (BAC <0.08%, n = 88 [47%]). The GCS in the prehospital setting, in the emergency department, and the highest GCS achieved during the first 24 hours postinjury were compared. RESULTS: The change between emergency department-GCS and the best day 1 GCS in the intoxicated group was greater than the nonintoxicated group and deemed clinically and statistically significant; median change (3 vs. 0) p < 0.001. To assess whether these results were directly related to the BAC%, piecewise regression using a general linear model was used to assess the intercept and slope of alcohol on the changes of GCS with cutting point at BAC% = 0.08. The analysis showed that, in the nonintoxicated range, the effect of alcohol was not significantly related to the changes of GCS. But in the intoxicated range, BAC% was significantly positively related to the changes of GCS. CONCLUSION: This study concludes that the GCS increases significantly over time in alcohol intoxicated patients with traumatic brain injury.

Signal Information Prediction of Mortality Identifies Unique Patient Subsets after Severe Traumatic Brain Injury: A Decision-Tree Analysis Approach.

Nonlinear physiological signal features that reveal information content and causal flow have recently been shown to be predictors of mortality after severe traumatic brain injury (TBI). The extent to which these features interact together, and with traditional measures to describe patients in a clinically meaningful way remains unclear. In this study, we incorporated basic demographics (age and initial Glasgow Coma Scale [GCS]) with linear and non-linear signal information based features (approximate entropy [ApEn], and multivariate conditional Granger causality [GC]) to evaluate their relative contributions to mortality using cardio-cerebral monitoring data from 171 severe TBI patients admitted to a single neurocritical care center over a 10 year period. Beyond linear modelling, we employed a decision tree analysis approach to define a predictive hierarchy of features. We found ApEn (p = 0.009) and GC (p = 0.004) based features to be independent predictors of mortality at a time when mean intracranial pressure (ICP) was not. Our combined model with both signal information-based features performed the strongest (area under curve = 0.86 vs. 0.77 for linear features only). Although low "intracranial" complexity (ApEn-ICP) outranked both age and GCS as crucial drivers of mortality (fivefold increase in mortality where ApEn-ICP <1.56, 36.2% vs. 7.8%), decision tree analysis revealed clear subsets of patient populations using all three predictors. Patients with lower ApEn-ICP who were >60 years of age died, whereas those with higher ApEn-ICP and GCS ≥5 all survived. Yet, even with low initial intracranial complexity, as long as patients maintained robust GC and "extracranial" complexity (ApEn of mean arterial pressure), they all survived. Incorporating traditional linear and novel, non-linear signal information features, particularly in a framework such as decision trees, may provide better insight into "health" status. However, caution is required when interpreting these results in a clinical setting prior to external validation.

Serum bilirubin level correlates with mortality in patients with traumatic brain injury.

As a catabolic product of hemoglobin, bilirubin has been confirmed playing an important role in the development of various central nervous system disease. The aim of this study is to explore the correlation between serum bilirubin level and mortality in patients with traumatic brain injury (TBI).Patients admitted with traumatic brain injury (TBI) in our hospital between January 2015 and January 2018 were enrolled in this study. Clinical and laboratory data of 361 patients were retrospectively collected to explore the independent risk factors of mortality.The comparison of baseline characteristics showed that non-survivors had lower Glasgow Coma Scale (GCS) (P < .001) and higher level of serum total bilirubin (TBIL) (P < .001) and direct bilirubin (DBIL) (P < .001). We found that only GCS (P < .001), glucose (P < .001), lactate dehydrogenase (LDH) (P = .042) and DBIL (P = .005) were significant risk factors in multivariate logistic regression analysis. GCS and DBIL had comparable AUC value (0.778 vs 0.750, P > .05) on predicting mortality in TBI patients. The AUC value of the combination of GCS and DBIL is higher than the single value of these two factors (P < .05). Moreover, predictive model 1 consisted of GCS, glucose, LDH and DBIL had the highest AUC value of 0.894.DBIL is a significant risk factor of mortality in TBI patients. Assessing the level of DBIL is beneficial for physicians to evaluate severity and predict outcome for TBI patients.

Spontaneous cerebellar hemorrhage carries a grim prognosis in both operated and unoperated patients.

Management of spontaneous cerebellar hemorrhage (SCH) has been scarcely reported, and controversies still exist regarding their surgical management. METHODS: We performed a retrospective review of the Rambam Medical Center registry. All cases with a SCH, operated or not, were reviewed. Basic patient parameters, clinical status on admission and imaging results, management and outcome measures were evaluated. Parameters were compared between the operated and unoperated groups, and assessed for their correlation to patient death within 12 months. When operated, patients underwent Suboccipital craniectomy (SOC), insertion of an external ventricular drain (EVD) or both. RESULTS: 57 patients were treated for SCH in the years 2005-2017. 20 patients (35.09%) died during their original admission. 16 were discharged in non-functional status. In total, 36 patients died within 12 months of their admission. Only 21 patients (36.84%) were alive one year after their bleed. The following parameters were correlated to death in the entire cohort: older age, larger hematoma size, hydrocephalus, brainstem compression by the bleed and outcome status. The unoperated patients were younger, and had a lower Glasgow Coma Scale (GCS) on admission. Death within 12 months occurred in 69.77% of the operated patients, but only 42.86% of the unoperated patients, p = 0.10. Unfavorable outcome was found in 36% of the unoperated group and 72% of the operated group, p = 0.024. CONCLUSION: SCH carries a grim prognosis in both operated and unoperated patients. Roughly one third of patients in our series died during their admission and another third were either vegetative or severely disabled on discharge.

Factors involved in the development of subdural hygroma after decompressive craniectomy for traumatic brain injury. A systematic review and meta-analysis.

Subdural hygroma (SDG) represents a common complication following decompressive craniectomy (DC). To our knowledge we present the first meta-analysis investigating the role of clinical and technical factors in the development of SDG after DC for traumatic brain injury. We further investigated the impact of SDG on the final prognosis of patients. The systematic review of the literature was done according to the PRISMA guidelines. Two different online medical databases (PubMed/Medline and Scopus) were screened. Four articles were included in this meta-analysis. Data regarding age, sex, trauma dynamic, Glasgow Coma Scale (GCS), pupil reactivity and CT scan findings on admission were collected for meta-analysis in order to evaluate the possible role in the SDG formation. Moreover we studied the possible impact of SDG on the outcome by evaluating the rate of patients dead at final follow-up and the Glasgow Outcome Scale (GOS) at final follow-up. Among the factors available for meta-analysis only the basal cistern involvement on CT scan was associated with the development of a SDG after DC (p < 0.001). Moreover, patients without SDG had a statistically significant better outcome compared with patients who developed SDG after DC in terms of GOS (p < 0.001). The rate of patients dead at follow-up was lower in the group of patients without SDH (8.25%) compared with patients who developed SDG (11.51%). SDG after DC is a serious complication affecting the prognosis of patients. Further studies are needed to define the role of some adjustable technical aspect of DC in preventing such a complication.

A population study on the epidemiology and outcome of brain injuries in intensive care.

BACKGROUND: Traumatic Brain Injury (TBI) is characterized by a highly heterogenous profile in terms of pathophysiology, clinical presentation and outcome. OBJECTIVE: This is the first population study investigating the epidemiology and outcomes of moderate-to-severe TBI in Cyprus. Patients treated in the Intensive Care Unit (ICU) of Nicosia General Hospital, the only Level 1 Trauma Centre in the country, were recruited between January 2013 and December 2016. METHODS: This was an observational cohort study, using longitudinal methods and six-month follow-up. Patients (N = 203) diagnosed with TBI were classified by the Glasgow Coma Scale at the Emergency Department as moderate or severe. RESULTS: Compared to international multicentre studies, the current cohort demonstrates a different case mix that includes older age, more motor vehicle collisions and lower mortality rates. There was a significantly higher proportion of injured males. Females were significantly older than males. There were no sex differences in the type, severity or place of injury. Sex did not yield differences in mortality or outcomes or on injury indices predicting outcomes. In contrast, older age was a predictor of higher mortality rates and worse outcomes. CONCLUSION: Trends as described in the study emphasize the importance of continuous evaluation of TBI epidemiology and outcome in different countries.

Risk Factors and Outcomes of Pneumonia After Primary Intraventricular Hemorrhage.

OBJECTIVES: To investigate the risk factors in the development of pneumonia and its impact on outcome after primary intraventricular hemorrhage (PIVH). METHODS: This is a single-center retrospective study including consecutive patients with PIVH admitted to West China Hospital from 2010 to 2016. Pneumonia was defined according to the modified Centers for Disease Control and Prevention criteria within 7 days after PIVH onset. Poor outcome (modified Rankin score ≥3) and mortality at discharge and at 90 days were analyzed. RESULTS: Among the included 174 patients, pneumonia occurred in 13 (7.5%) patients. Patients with pneumonia had lower Glasgow Coma Scale (GCS) score (P = 0.001) and greater Graeb score (P = 0.001) at admission, presented more often with acute hydrocephalus (P = 0.04) and greater rates with stroke history (P = 0.002), and harbored greater admission blood glucose (P = 0.01) and absolute neutrophil counts (P = 0.02). In a multivariable analysis, only GCS score and stroke history were independent predictors of pneumonia after PIVH. The patients with pneumonia had longer duration of hospital stay (P = 0.002) and poorer outcome (P = 0.02) at 90 days. However, after adjustment for confounders, pneumonia after PIVH was not an independent predictor of poor outcome at 90 days. CONCLUSIONS: GCS score and stroke history were independent predictors of pneumonia development after PIVH. Pneumonia after PIVH was associated with longer duration of hospital stay and poorer outcome at 90 days.