Presence Of Extracranial Injuries Research Articles

Severe trauma patients requiring undelayable combined cranial and extracranial surgery: A scoping review of an emerging concept.

Although patients suffering from severe traumatic brain injury (sTBI) and severe trauma patients (STP) have been extensively studied separately, there is scarce evidence concerning STP with concomitant sTBI. In particular, there are no guidelines regarding the emergency surgical management of patients presenting a concomitant life-threatening intracranial hematoma (ICH) and a life-threatening non-compressible extra-cranial hemorrhage (NCEH). A scoping review was conducted on Medline database from inception to September 2021. The review yielded 138 articles among which 10 were retained in the quantitative analysis for a total of 2086 patients. Seven hundrer and eighty-seven patients presented concomitant sTBI and extra-cranial severe injuries. The mean age was 38.2 years-old and the male to female sex ratio was 2.8/1. Regarding the patients with concomitant cranial and extra-cranial injuries, the mean ISS was 32.1, and the mean AIS per organ were 4.0 for the head, 3.3 for the thorax, 2.9 for the abdomen and 2.7 for extremity. This review highlighted the following concepts: emergency peripheric osteosynthesis can be safely performed in patients with concomitant sTBI (grade C). Invasive intracranial pressure monitoring is mandatory during extra-cranial surgery in patients with sTBI (grade C). The outcome of STP with concomitant sTBI mainly depends on the seriousness of sTBI, independently from the presence of extra-cranial injuries (grade C). After exclusion of early-hospital mortality, the impact of extra-cranial injuries on mortality in patients with concomitant sTBI is uncertain (grade C). There are no recommendations regarding the combined surgical management of patients with concomitant ICH and NCEH (grade D). This review revealed the lack of evidence for the emergency surgical management of patients with concomitant ICH and NCEH. Hence, we introduce the concept of combined cranial and extra-cranial surgery. This damage-control surgical strategy aims to reduce the time spent with intracranial hypertension and to hasten the admission in the intensive care unit. Further studies are required to validate this concept in clinical practice.

The Outcome Predictors of the Patients with Traumatic Brain Injury; A Cross-Sectional Study.

To probe the factors associated with the outcomes of traumatic brain injury (TBI) patients admitted to emergency department (ED). This is a cross-sectional study that data gathering was performed via census methods, retrospectively. During one year, all head injury's patients who admitted to the ED of a tertiary center in Tehran, Iran were included. Age, gender, mechanism of injury, Glasgow coma scale (GCS) and injury severity score (ISS) on admission, presence of extra-cranial injuries, findings of brain computed tomography (CT), duration of hospitalization, and in hospital outcomes were recorded. Outcome's assessment for survivors was performed within a 6 months-period after discharge based on Glasgow outcome scale (GOS). The variables and outcomes' association were assessed. Totally, 506 patients were evaluated with the mean age of 36.77±21.1 years that 411 (81.2%) were men. Follow up at 6-months post injury was feasible in 487 (96.2%) patients; 59 (11.7%) out of 506 eligible patients died. Logistic regression analysis showed the association between assessed variables and patients' outcome as follows: age>65 years (OR: 12.21; p<0.001), GCS on admission <8 (OR: 62.99; p<0.001), presence of traumatic Intracerebral hemorrhage (ICH) in brain CT scan (OR: 20.11; p=0.010), duration of hospitalization ≥ 5 days (OR: 0.28; p=0.001). The findings of the current study distinguished some variables that were associated with the poor outcome of the patients with TBI. Therefore, TBI patients with any of these risk factors may need close continues monitoring, early ICU admission, and some other special extra care in ED.

Prognostic Value of Serially Estimated Serum Procalcitonin Levels in Traumatic Brain Injury Patients With or Without Extra Cranial Injury on Early In-hospital Mortality: A Longitudinal Observational Study.

BackgroundTraumatic brain injury (TBI) is associated with majority of trauma deaths, and objective tools are required to understand the severity of injury. The application of a biomarker like procalcitonin (PCT) in TBI may allow for assessment of severity and thus aid in prognostication and correlation with mortality and outcome.AimsThe primary objective is to determine the correlation between PCT concentrations with TBI outcomes (mainly in terms of mortality) at intensive care unit (ICU)/hospital discharge. Secondary objectives are to evaluate correlation with associated extra cranial injuries and complications during hospital stay.MethodsIn total, 186 TBI patients aged > 18 years with minimum survival for at least 12 h admitted to the ICU at the level 1 trauma center were prospectively included in the study and divided into two groups: TBI with and without extra cranial injuries. All admitted patients were treated according to the standard institutional protocol. The PCT levels were obtained on admission, on day 2, and 5. Clinical, laboratory, diagnostic, and therapeutic data were also collected. Primary mortality is defined as death related to central nervous system (CNS) injury, while secondary mortality defined as death related to sepsis or extracranial cause.ResultsMedian PCT levels at admission, day 2, and day 5 in TBI patients with extracranial injuries were 3.0, 0.83, and 0.69 ng/ml. In total, primary mortality was observed in 18 (9.7%) patients, while secondary causes were attributable in 20 (12.3%) patients. Regression analysis for primarily CNS cause of mortality showed PCT cutoff level at admission more than 5.5 ng/ml carried sensitivity and specificity of 75%, but for secondary cause (sepsis) of mortality, PCT cutoff values on day 2 > 1.15 ng/ml were derived significant with sensitivity of 70% and specificity of 66%. No significant association of parameters like length of ICU stay, Glasgow outcome scale (GOS), and primary/secondary mortality with the presence of extracranial injuries in TBI patients as compared with TBI alone was noted.ConclusionThis observational study demonstrates the poor correlation between PCT concentrations with outcome at days 1, 2, and 5 post-injury. The predicted relationship between PCT levels and outcome was not confirmed, and that these results do not support the prognostic utility of PCT biomarker in this population for outcome (mortality) assessment in TBI patients with or without extracranial injuries.

Variation in Guideline Implementation and Adherence Regarding Severe Traumatic Brain Injury Treatment: A CENTER-TBI Survey Study in Europe

Guidelines may reduce practice variation and optimize patient care. We aimed to study differences in guideline use in the management of traumatic brain injury (TBI) patients and analyze reasons for guideline non-adherence. As part of a prospective, observational, multicenter European cohort study, participants from 68 centers in 20 countries were asked to complete 72-item questionnaires regarding their management of severe TBI. Six questions with multiple sub-questions focused on guideline use and implementation. Questionnaires were completed by 65 centers. Of these, 49 (75%) reported use of the Brain Trauma Foundation guidelines for the medical management of TBI or related institutional protocols, 11 (17%) used no guidelines, and 5 used other guidelines (8%). Of 54 centers reporting use of any guidelines, 41 (75%) relied on written guidelines. Four centers of the 54 (7%) reported no formal implementation efforts. Structural attention to the guidelines during daily clinical rounds was reported by 21 centers (38%). The most often reported reasons for non-adherence were "every patient is unique" and the presence of extracranial injuries, both for centers that did and did not report the use of guidelines. There is substantial variability in the use and implementation of guidelines in neurotrauma centers in Europe. Further research is needed to strengthen the evidence underlying guidelines and to overcome implementation barriers.

Prediction of work resumption and sustainability up to 1 year after mild traumatic brain injury.

To study return to work (RTW) after mild traumatic brain injury (mTBI) at several intervals after injury and to predict RTW on the basis of occupational factors in addition to demographic, personality, and injury-related factors at 6 and 12 months after injury. This was a prospective cohort study (UPFRONT study, n = 1,151) of patients with mTBI admitted to the emergency department. Patients received questionnaires at 2 weeks and 3, 6, and 12 months after injury. RTW was divided into 3 levels: complete (cRTW), partial (pRTW), and no RTW. Rates of cRTW increased from 34% at 2 weeks to 77% at 12 months after injury, pRTW varied from 8% to 16% throughout the year. Logistic regression (complete vs incomplete RTW) demonstrated that apart from previously identified predictors such as demographics (e.g., age and education) and injury characteristics (e.g., cause and severity of injury) and indicators of psychological distress, occupational factors were of influence on work resumption after 6 months (area under the curve [AUC] = 0.82), At 12 months, however, the model was based solely on the presence of extracranial injuries and indicators of maladaptation after injury (AUC = 0.81). RTW after mTBI is a gradual process, with varying levels of RTW throughout the first year after injury. Different predictors were relevant for short- vs long-term work resumption, with occupational factors influencing short-term RTW. However, for both short- and long-term RTW, posttraumatic complaints and signs of psychological distress early after injury were relevant predictors, allowing early identification of patients at risk for problematic work resumption.

Postconcussion syndrome: demographics and predictors in 221 patients.

OBJECTIVE The objective of this study was to determine the demographics and predictors of postconcussion syndrome (PCS) in a large series of patients using a novel definition of PCS. METHODS The authors conducted a retrospective cohort study of 284 consecutive concussed patients, 221 of whom had PCS on the basis of at least 3 symptoms persisting at least 1 month. This definition of PCS was uniformly employed and is unique in accepting an expanded list of symptoms, in shortening the postconcussion interval to 1 month from 3 months, and in excluding those with focal injuries such as hemorrhages and contusions. RESULTS The 221 cases showed considerable heterogeneity in clinical features of PCS. They averaged 3.3 concussions, with a range of 0 to 12 or more concussions, and 62.4% occurred during sports and recreation. The median duration of PCS was 7 months at the time of examination, with 11.8% lasting more than 2 years, and 23.1% with PCS had only 1 concussion. The average patient age was 27 years (range 10-74 years). The average number of persistent symptoms was 8.1; 26.2% had a previous psychiatric condition, attention-deficit disorder/attention-deficit hyperactivity disorder, a learning disability, or previous migraine headaches. The prevalence of arachnoid cysts and Chiari malformation in PCS exceeded the general population. Additionally, involvement in litigation, presence of extracranial injuries, amnesia and/or loss of consciousness, and female sex were predictive of reporting a high number of symptoms. A prior history of psychiatric conditions or migraines, cause of injury, number of previous concussions, and age did not significantly predict symptom number. Only the number of symptoms reported predicted the duration of PCS. To predict the number of symptoms for those who fulfilled PCS criteria according to the International Classification of Diseases, 10th Revision (ICD-10), and the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV), the number of previous concussions was significant. CONCLUSIONS PCS is commonly associated with multiple concussions, but 23.1% in the present series occurred after only 1 concussion. Most patients with PCS had multiple symptoms persisting for months or years. The median duration of PCS was 7 months, with a range up to 26 years. In only 11.3%, the PCS had ended at the time of consultation. Not all predictors commonly cited in the literature align with the findings in this study. This is likely due to differences in the definitions of PCS used in research. These results suggest that the use of ICD-10 and DSM-IV to diagnose PCS may be biased toward those who are vulnerable to concussions or with more severe forms of PCS. It is thus important to redefine PCS based on evidence-based medicine.

Models of Mortality Probability in Severe Traumatic Brain Injury: Results of the Modelling by the UK Trauma Registry

Currently available prognostic models in Traumatic Brain Injury (TBI) are derived from historical data sets or from heterogeneous data sets, depending upon the trauma care delivered. The objective of our study was to develop models to predict survival in a recent cohort of TBI patients within a relatively homogeneous trauma care system. Records of patients with brain injury were extracted from the Trauma Audit and Research Network (TARN) database. The relationship of the variables (i.e., age, Glasgow Coma Score [GCS], pupillary reactivity, Injury Severity Score [ISS], Computed Tomography [CT] classifications, classification of various intracranial pathologies, systolic and mean blood pressure, oxygen saturation, and the presence of extracranial injury) to survival at discharge were determined. Stepwise logistical regression analysis was performed to determine the best prognostic model. Two models were derived from data of 802 patients (models A and B). Age, GCS, pupillary reactivity, hypoxia, and brainstem injury are significant predictors in both. However, model A contains ISS in contrast to model B, which contains the presence of brain swelling and major extracranial injury instead. Both models have good predictive performance (model A: area under the Receiver Operating Characteristic [ROC] curve [AUC]=0.92 [95% CI, 0.90-0.95], Nagelkerke R(2), 0.62; model B: AUC=0.93 [95% CI: 0.91-0.95], Nagelkerke R(2): 0.63). Hence, two accurate and reliable prognostic models were developed from a recent cohort of the TBI population.

Chapter 7. Neuroimaging

Chapter 7. Neuroimaging

Intracranial bleeding in patients with traumatic brain injury: A prognostic study

BackgroundIntracranial bleeding (IB) is a common and serious consequence of traumatic brain injury (TBI). IB can be classified according to the location into: epidural haemorrhage (EDH) subdural haemorrhage (SDH) intraparenchymal haemorrhage (IPH) and subarachnoid haemorrhage (SAH). Studies involving repeated CT scanning of TBI patients have found that IB can develop or expand in the 48 hours after injury. If IB enlarges after hospital admission and larger bleeds have a worse prognosis, this would provide a therapeutic rationale for treatments to prevent increase in the extent of bleeding. We analysed data from the Trauma Audit & Research Network (TARN), a large European trauma registry, to evaluate the association between the size of IB and mortality in patients with TBI.MethodsWe analysed 13,962 patients presenting to TARN participating hospitals between 2001 and 2008 with a Glasgow Coma Score (GCS) less than 15 at presentation or any head injury with Abbreviated Injury Scale (AIS) severity code 3 and above. The extent of intracranial bleeding was determined by the AIS code. Potential confounders were age, presenting Glasgow Coma Score, mechanism of injury, presence and nature of other brain injuries, and presence of extra-cranial injuries. The outcomes were in-hospital mortality and haematoma evacuation. We conducted a multivariable logistic regression analysis to evaluate the independent effect of large and small size of IB, in comparison with no bleeding, on patient outcomes. We also conducted a multivariable logistic regression analysis to assess the independent effect on mortality of large IB in comparison with small IB.ResultsAlmost 46% of patients had at some type of IB. Subdural haemorrhages were present in 30% of the patients, with epidural and intraparenchymal present in approximately 22% each. After adjusting for potential confounders, we found that large IB, wherever located, was associated with increased mortality in comparison with no bleeding. We also found that large IB was associated with an increased risk of mortality in comparison with small IB. The odds ratio for mortality for large SDH, IPH and EDH, in comparison with small bleeds, were: 3.41 (95% CI: 2.68-4.33), 3.47 (95% CI: 2.26-5.33) and 2.86 (95% CI: 1.86-4.38) respectively.ConclusionLarge EDH, SDH and IPH are associated with a substantially higher probability of hospital mortality in comparison with small IB. However, the limitations of our data, such as the large proportion of missing data and lack of data on other confounding factors, such as localization of the bleeding, make the results of this report only explanatory. Future studies should also evaluate the effect of IB size on functional outcomes.

Hypermetabolism following Moderate to Severe Traumatic Acute Brain Injury: A Systematic Review

Elevations of metabolic rate following traumatic brain injury (TBI) have been reported previously, with estimates ranging from 32% to 200% above normal values. The aim of this systematic review was to describe the pattern of energy expenditure during the first 30 days following TBI. We searched six databases for trials that measured the energy expenditure at least once during the first 30 days post-injury and compared that value to one that would be predicted in the non-injured state. We identified 24 studies, three of which were randomized controlled trials (RCTs). The sample sizes of the included studies ranged from 6 to 80 (mean, 24.7), and the mean Glasgow Coma Scale (GCS) score of subjects was 4.8. Mean energy expenditure, expressed as a percentage of a predicted value, ranged from 75% to 200%. The lowest values were reported in patients admitted in brain death. Several factors were found to have modulating effects on energy expenditure. The administration of paralyzing agents, sedatives, or barbiturates reduced metabolic rate by approximately 12-32%. Propranolol and morphine were associated with smaller decreases in energy expenditure. Factors that do not appear to augment the hypermetabolic response included the administration of steroids and method of feeding (enteral vs. parenteral). Based on our results, it was unclear if elevated temperature, the presence of extracranial injury, or the severity of injury further exacerbate hypermetabolism. We conclude that energy expenditure following TBI is highly variable, and the use of standard factors to estimate the energy needs of individual patients are inappropriate and should be discouraged.

Poster 4: Hypermetabolism Following Moderate-to-Severe Traumatic Acute Brain Injury: A Systematic Review

Objective: To describe the pattern of energy expenditure during the first 30 days following traumatic brain injury (TBI). Data Sources: Medline, Embase, CINAHL, ISI Web of Science, and the Cochrane Library (1966 to December 2007). Study Selection: Trials that measured energy expenditure at least once during the first 30 days postinjury were included. Data Extraction: Data including patient characteristics, medical management, and details of metabolic measurements were abstracted independently by 2 reviewers. Results are reported descriptively. Data Synthesis: 24 studies were identified. During the first 30 days, mean energy expenditure expressed as a percentage of predicted value ranged from 75% to 200%. The lowest values were reported in patients admitted in brain death. The administration of paralyzing agents, sedatives, or barbiturates reduced metabolic rate by approximately 12% to 32%. Propranolol and morphine were also associated with smaller decreases in energy expenditure (5%, 8%, respectively). Steroid usage and method of feeding (enteral vs parenteral) did not appear to further elevate metabolic rate. It was unclear if elevated temperature, the presence of extracranial injury, or the severity of injury contributed further to hypermetabolism. Conclusions: Energy expenditure was significantly elevated in most patients following TBI, although the magnitude of the effect was highly variable.

Brain Death After Severe Traumatic Brain Injury: The Role of Systemic Secondary Brain Insults

Secondary brain insults predominantly due to hypotension are frequent among patients with fatal traumatic brain injury. We assessed the correlation between different systemic secondary brain insults and brain death in 404 patients admitted to our intensive care unit (ICU) after severe traumatic brain injury. We collated data on hypoxemia and hypotension prior to as well as the occurrence of hypoxemia, hypotension, shock, anemia, hyperglycemia, and hyperthermia within the first 24 hours after ICU admission. We also considered both the presence of extracranial injuries and the category of traumatic brain injury using computerized tomography. The 59 patients (14.6%) who developed brain death, were significantly older than patients without a fatal neurological outcome (46.1 ± 22 vs 29.5 ± 14.9 years; P < .0001). Intracranial mass lesions, whether surgically evacuated were more frequent among brain-dead patients. The systemic secondary brain insults significantly associated with brain death were hypoxemia, hypotension, shock, anemia, and hyperglycemia within the first 24 hours after ICU admission. After multivariate analysis, the factors that independently predicted brain death were the occurrence of shock (odds ratio [OR], 6.74; 95% confidence interval [CI], 2.85–15.84; P = .001) and older age (OR, 1.05; 95% CI, 1.03–1.07; P = .003). In conclusion, early shock seems to be the major systemic secondary brain insult associated with brain death in patients with severe traumatic brain injury. Prevention of or correction of shock might help to either decrease the occurrence of a fatal neurological outcome or in brain-dead patients to preserve organs in better condition for procurement.

Traumatic brain stem lesions in children.

Glasgow Coma Scale (GCS) scores on admission may be predictors of outcome in patients with brain injuries. This study correlated the outcomes of children with traumatic brain stem lesions with their initial GCS scores and morphological patterns of injury as shown on computed tomography (CT) or magnetic resonance (MR) imaging. During the last 16 years, we have treated 1,108 children with brain injuries. The entire series included only 21 (1.9%) children who had clinical signs of brain stem lesions with morphological correlates on CT or MR imaging. Clinical findings were assessed according to the GCS and compared with scores on the Glasgow Outcome Scale (GOS). Of these 21 children, 16 (76%) had morphological lesions seen on CT scans. In 5 (24%) of the children only the MR images revealed brain stem lesions and their CT scans were negative. Generalized severe brain swelling was present in 6 cases (28%). There was a significant difference in GOS scores between patients with initial GCS scores of 3 and 4 and those with GCS scores between 5 and 7 (P < 0.02). Children with intracranial pressure higher than 40 mmHg had poorer outcomes than patients whose intracranial pressure was lower, but the differences were not significant. Outcome did not correlate significantly with morphological patterns of injury or the presence of extracranial injuries. The GCS is a reliable indicator of severity of injury and of outcome in children with brain stem injuries. MR imaging was more sensitive than CT in detecting brain stem lesions.