Neuropsychological outcomes following traumatic brain injury

2019 ◽  
Vol 19 (6) ◽  
pp. 476-482 ◽  
Author(s):  
Sallie Baxendale ◽  
Dominic Heaney ◽  
Fergus Rugg-Gunn ◽  
Daniel Friedland
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Structural Damage ◽  
Injury Severity ◽  
Prognostic Significance ◽  
Recovery Process ◽  
Neuropsychological Outcome ◽  
Complex Interplay ◽  
Neuropsychological Outcomes ◽  
The Impact

This review examines the clinical and neuroradiological features of traumatic brain injury that are most frequently associated with persistent cognitive complaints. Neuropsychological outcomes do not depend solely on brain injury severity but result from a complex interplay between premorbid factors, the extent and nature of the underlying structural damage, the person’s neuropsychological reserve and the impact of non-neurological factors in the recovery process. Brain injury severity is only one of these factors and has limited prognostic significance with respect to neuropsychological outcome. We examine the preinjury and postinjury factors that interact with the severity of a traumatic brain injury to shape outcome trajectories. We aim to provide a practical base on which to build discussions with the patient and their family about what to expect following injury and also to plan appropriate neurorehabilitation.

The impact of blood ethanol concentration on the classification of head injury severity in traumatic brain injury

Brain Injury ◽  
2015 ◽  
Vol 29 (13-14) ◽  
pp. 1648-1653 ◽  
Author(s):  
Pål Rønning ◽  
Per Ole Gunstad ◽  
Nils-Oddvar Skaga ◽  
Iver Arne Langmoen ◽  
Knut Stavem ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Head Injury ◽  
Injury Severity ◽  
Ethanol Concentration ◽  
Blood Ethanol Concentration ◽  
The Impact ◽  
Head Injury Severity

Early versus Late Tracheostomy: Is There an Outcome Difference?

2019 ◽  
Vol 85 (4) ◽  
pp. 370-375 ◽  
Author(s):  
Adel Elkbuli ◽  
Raed Ismail Narvel ◽  
Paul J. Spano ◽  
Valerie Polcz ◽  
Astrid Casin ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Glasgow Coma Scale ◽  
Primary Outcome ◽  
Injury Severity ◽  
Future Research ◽  
Trauma Patients ◽  
Early Tracheostomy ◽  
Outcome Difference ◽  
The Impact

The effect of timing in patients requiring tracheostomy varies in the literature. The purpose of this study was to evaluate the impact of early tracheostomy on outcomes in trauma patients with and without traumatic brain injury (TBI). This study is a four-year review of trauma patients undergoing tracheostomy. Patients were divided into two groups based on TBI/non-TBI. Each group was divided into three subgroups based on tracheostomy timing: zero to three days, four to seven days, and greater than seven days postadmission. TBI patients were stratified by the Glasgow Coma Scale (GCS), and non-TBI patients were stratified by the Injury Severity Score (ISS). The primary outcome was ventilator-free days (VFDs). Significance was defined as P < 0.05. Two hundred eighty-nine trauma patients met the study criteria: 151 had TBI (55.2%) versus 138 (47.8%) non-TBI. There were no significant differences in demographics within and between groups. In TBI patients, statistically significant increases in VFDs were observed with GCS 13 to 15 for tracheostomies performed in four to seven versus greater than seven days ( P = 0.005). For GCS <8 and 8 to 12, there were significant increases in VFDs for tracheostomies performed at days 1 to 3 and 4 to 7 versus greater than seven days (P << 0.05 for both). For non-TBI tracheostomies, only ISS ≥ 25 with tracheostomies performed at zero to three days versus greater than seven days was associated with improved VFDs. Early tracheostomies in TBI patients were associated with improved VFDs. In trauma patients with no TBI, early tracheostomy was associated with improved VFDs only in patients with ISS ≥ 25. Future research studies should investigate reasons TBI and non-TBI patients may differ.

scholarly journals Anemia and Blood Transfusion in Patients with Isolated Traumatic Brain Injury

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Hasan M. Al-Dorzi ◽  
Waleed Al-Humaid ◽  
Hani M. Tamim ◽  
Samir Haddad ◽  
Ahmad Aljabbary ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Blood Transfusion ◽  
Hospital Mortality ◽  
Injury Severity ◽  
Tertiary Care ◽  
Hemoglobin Level ◽  
Secondary Insult ◽  
The Impact ◽  
Present On Admission

Rationale. By reducing cerebral oxygen delivery, anemia may aggravate traumatic brain injury (TBI) secondary insult. This study evaluated the impact of anemia and blood transfusion on TBI outcomes.Methods. This was a retrospective cohort study of adult patients with isolated TBI at a tertiary-care intensive care unit from 1/1/2000 to 31/12/2011. Daily hemoglobin level and packed red blood cell (PRBC) transfusion were recorded. Patients with hemoglobin < 10 g/dL during ICU stay (anemic group) were compared with other patients.Results. Anemia was present on admission in two (2%) patients and developed in 48% during the first week with hemoglobin < 7 g/dL occurring in 3.0%. Anemic patients had higher admission Injury Severity Score and underwent more craniotomy (50% versus 13%,p<0.001). Forty percent of them received PRBC transfusion (2.8 ± 1.5 units per patient, median pretransfusion hemoglobin = 8.8 g/dL). Higher hospital mortality was associated with anemia (25% versus 6% for nonanemic patients,p=0.01) and PRBC transfusion (38% versus 9% for nontransfused patients,p=0.003). On multivariate analysis, only PRBC transfusion independently predicted hospital mortality (odds ratio: 6.8; 95% confidence interval: 1.1–42.3).Conclusions. Anemia occurred frequently after isolated TBI, but only PRBC transfusion independently predicted mortality.

Behavioural Profiles and Injury Severity Following Childhood Traumatic Brain Injury

2007 ◽  
Vol 8 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Suzanne L. Barker-Collo
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Hospital Stay ◽  
Child Behavior Checklist ◽  
Injury Severity ◽  
Attention Problems ◽  
Normal Limits ◽  
Orthopaedic Injury ◽  
Severe Tbi ◽  
The Impact

AbstractTraumatic brain injury (TBI) is a leading cause of death and morbidity in children and can result in cognitive, behavioural, social and emotional difficulties that may impact quality of life. This study examined the impact of mild, moderate, and severe childhood TBI, when compared to severe orthopaedic injury, on behaviour as measured by the Child Behavior Checklist (CBCL) in a sample of 74 children with TBI and 13 with orthopaedic injury aged 4 to 13 years at the time of injury. Correlational analyses revealed that within the TBI sample increased anxiety/depression and somatisation were related to increased age at the time of injury and shorter inpatient hospital stay. Increased age was also related to increased parental reports of attention problems; while increased hospital stay was related to increased withdrawal and thought problems. Symptomatology was within normal limits for all groups, approaching the borderline clinical range in the moderate TBI group for somatic symptoms and in the severe TBI group for thought and attention problems. Those with severe TBI had more thought and attention problems, and to a lesser extent social problems, than those with mild or moderate TBI; while those with moderate TBI had the highest levels of somatic and anxious–depressed symptoms. The only scale where performance seemed to increase in relation to injury severity was the attention problems scale. It is suggested that the findings for those with moderate TBI reflect increased awareness of one's own vulnerability/mortality, with the implication that issues such as grief, loss, and mortality may need to be addressed therapeutically.

scholarly journals P.184 Off-road vehicle fatalities and alcohol in patients with major traumatic brain injury: the risk of impaired driving

2021 ◽  
Vol 48 (s3) ◽  
pp. S73-S73
Author(s):  
S Walling ◽  
N Kureshi ◽  
DB Clarke ◽  
M Erdogan ◽  
RS Green
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Injury Severity ◽  
Alcohol Intoxication ◽  
Blood Alcohol Concentration ◽  
Significant Risk ◽  
Road Vehicle ◽  
Hospital Deaths ◽  
The Impact

Background: Intoxicated patients injured in off road vehicle (ORV) crashes have higher rates of traumatic brain injury (TBI) and intensive care unit (ICU) admission, as well as prolonged ICU length of stay. This study evaluated the impact of alcohol intoxication on mortality among major TBI patients injured in off-road vehicle crashes. Methods: A retrospective analysis (2002-2014) of off-road vehicle injuries in Nova Scotia resulting in major TBI was performed. ORVs included ATVs, snowmobiles, and dirt bikes. A logistic regression model was constructed to test for in-hospital mortality and adjusted for age, Abbreviated Injury Scale (AIS) Head, Injury Severity Score, and blood alcohol concentration (BAC). Results: There were 176 drivers and passengers of off-road vehicles. Overall mortality was 28%. BAC testing was performed in 61% patients; 85% of pre-hospital deaths were BAC positive (mean BAC=31 ± 17.39 mmol/L) and 70% in-hospital deaths were BAC positive (mean BAC=26 ± 23.12 mmol/L). After adjusting for confounders, high injury severity and intoxication increased the likelihood of in-hospital mortality. Conclusions: These findings demonstrate that alcohol intoxication is a significant risk factor for mortality among off-road vehicle collisions; for every mmol/L change in BAC, there was a 10% increase in the chance of in-hospital mortality.

Mechanism of death after early decompressive craniectomy in traumatic brain injury

Trauma ◽  
2016 ◽  
Vol 20 (3) ◽  
pp. 175-182 ◽  
Author(s):  
FA Zeiler ◽  
K Trickey ◽  
L Hornby ◽  
SD Shemie ◽  
BWY Lo ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Injury Severity ◽  
Circulatory Arrest ◽  
Multivariate Regression Analysis ◽  
Societal Implications ◽  
Severity Scores ◽  
Significant Difference ◽  
The Impact

Background Decompressive craniectomy in devastating traumatic brain injury is controversial. The impact of decompressive craniectomy on mechanism of death is unclear in the literature to date. Our goal was to determine the mechanism of death between those receiving early decompressive craniectomy and those managed medically. Methods We performed an institutional retrospective review, from June 2003 to June 2013, of adult patients with devastating blunt traumatic brain injury undergoing early decompressive craniectomy who subsequently died. We compared this group to a retrospectively matched group based on: age, pre-hospital KPS, Marshall diffuse computed tomography grades, Injury Severity Scores, and admission laboratory values. Results Forty patients were analyzed; 20 with decompressive craniectomy and 20 without. The two groups were similar based on admission demographics, with the only statistically significant difference being platelet levels. Upon analysis, through both univariate and multivariate regression analysis, the mechanism of death was significantly different (p = 0.003; OR: 0.07 (0.01–0.41) and p = 0.04; OR: 0.08 (0.01–0.87)) with the decompressive craniectomy and non-decompressive craniectomy groups displaying neurological death rates of 10.0% versus 60.0%, respectively, with all other patients in both groups dying secondary to circulatory arrest after withdrawal of life-sustaining therapy. Time to death was significantly longer in the decompressive craniectomy group (2.83 vs. 9.21 days, respectively) (p = 0.01; OR: 0.65 (0.46–0.91). Conclusions Progression to neurological death appears to be more common in those devastating blunt traumatic brain injury patients treated medically compared to those undergoing early decompressive craniectomy. Given the implications of end-of-life care and societal implications, the mechanism of death determination and organ donation should be reported as relevant outcomes in devastating traumatic brain injury studies.

The impact of injury severity on long-term social outcome following paediatric traumatic brain injury

2009 ◽  
Vol 19 (4) ◽  
pp. 541-561 ◽  
Author(s):  
Frank Muscara ◽  
Cathy Catroppa ◽  
Senem Eren ◽  
Vicki Anderson
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Social Outcome ◽  
The Impact

scholarly journals The Impact of Preexisting Illness and Substance Use on Functional and Neuropsychological Outcomes Following Traumatic Brain Injury

2016 ◽  
Vol 29 (3) ◽  
pp. 271-276 ◽  
Author(s):  
Marie N. Dahdah ◽  
Sunni A. Barnes ◽  
Amy Buros ◽  
Andrew Allmon ◽  
Bs, Rosemary Dubiel ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Substance Use ◽  
Brain Injury ◽  
Neuropsychological Outcomes ◽  
The Impact

scholarly journals Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models

2017 ◽  
Vol 08 (01) ◽  
pp. 020-029 ◽  
Author(s):  
Marek Majdan ◽  
Alexandra Brazinova ◽  
Martin Rusnak ◽  
Johannes Leitgeb
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Performance Outcomes ◽  
Prognostic Models ◽  
Operating Characteristics ◽  
Head Region ◽  
Computed Tomographic ◽  
Severity Scores ◽  
The Impact

ABSTRACT Objectives: Prognosis of outcome after traumatic brain injury (TBI) is important in the assessment of quality of care and can help improve treatment and outcome. The aim of this study was to compare the prognostic value of relatively simple injury severity scores between each other and against a gold standard model – the IMPACT-extended (IMP-E) multivariable prognostic model. Materials and Methods: For this study, 866 patients with moderate/severe TBI from Austria were analyzed. The prognostic performances of the Glasgow coma scale (GCS), GCS motor (GCSM) score, abbreviated injury scale for the head region, Marshall computed tomographic (CT) classification, and Rotterdam CT score were compared side-by-side and against the IMP-E score. The area under the receiver operating characteristics curve (AUC) and Nagelkerke's R 2 were used to assess the prognostic performance. Outcomes at the Intensive Care Unit, at hospital discharge, and at 6 months (mortality and unfavorable outcome) were used as end-points. Results: Comparing AUCs and R 2s of the same model across four outcomes, only little variation was apparent. A similar pattern is observed when comparing the models between each other: Variation of AUCs <±0.09 and R 2s by up to ±0.17 points suggest that all scores perform similarly in predicting outcomes at various points (AUCs: 0.65–0.77; R 2s: 0.09–0.27). All scores performed significantly worse than the IMP-E model (with AUC > 0.83 and R 2 > 0.42 for all outcomes): AUCs were worse by 0.10–0.22 (P < 0.05) and R 2s were worse by 0.22–0.39 points. Conclusions: All tested simple scores can provide reasonably valid prognosis. However, it is confirmed that well-developed multivariable prognostic models outperform these scores significantly and should be used for prognosis in patients after TBI wherever possible.

Prognostic significance of abnormal hematological parameters in severe traumatic brain injury requiring decompressive craniectomy

2020 ◽  
Vol 132 (2) ◽  
pp. 545-551 ◽  
Author(s):  
Jade-Marie Corbett ◽  
Kwok M. Ho ◽  
Stephen Honeybul
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Prognostic Model ◽  
Prognostic Significance ◽  
Unfavorable Outcome ◽  
Severe Tbi ◽  
Hematological Abnormalities ◽  
The Impact ◽  
Predicted Risk

OBJECTIVEHematological abnormalities after severe traumatic brain injury (TBI) are common, and are associated with a poor outcome. Whether these abnormalities offer additional prognostic significance over and beyond validated TBI prognostic models is uncertain.METHODSThis retrospective cohort study compared the ability of admission hematological abnormalities to that of the IMPACT (International Mission for Prognosis and Analysis of Clinical Trials) prognostic model to predict 18-month neurological outcome of 388 patients who required a decompressive craniectomy after severe TBI, between 2004 and 2016, in Western Australia. Area under the receiver operating characteristic (AUROC) curve was used to assess predictors’ ability to discriminate between patients with and without an unfavorable outcome of death, vegetative state, or severe disability.RESULTSOf the 388 patients included in the study, 151 (38.9%) had an unfavorable outcome at 18 months after decompressive craniectomy for severe TBI. Abnormalities in admission hemoglobin (AUROC 0.594, p = 0.002), plasma glucose (AUROC 0.592, p = 0.002), fibrinogen (AUROC 0.563, p = 0.036), international normalized ratio (INR; AUROC 0.645, p = 0.001), activated partial thromboplastin time (AUROC 0.564, p = 0.033), and disseminated intravascular coagulation score (AUROC 0.623, p = 0.001) were all associated with a higher risk of unfavorable outcome at 18 months after severe TBI. As a marker of inflammation, neutrophil to lymphocyte ratio was not significantly associated with the risk of unfavorable outcome (AUROC 0.500, p = 0.998). However, none of these parameters, in addition to the platelet count, were significantly associated with an unfavorable outcome after adjusting for the IMPACT predicted risk (odds ratio [OR] per 10% increment in risk 2.473, 95% confidence interval [CI] 2.061–2.967; p = 0.001). After excluding 8 patients (2.1%) who were treated with warfarin prior to the injury, there was a suggestion that INR was associated with some additional prognostic significance (OR 3.183, 95% CI 0.856–11.833; p = 0.084) after adjusting for the IMPACT predicted risk.CONCLUSIONSIn isolation, INR was the best hematological prognostic parameter in severe TBI requiring decompressive craniectomy, especially when patients treated with warfarin were excluded. However, the prognostic significance of admission hematological abnormalities was mostly captured by the IMPACT prognostic model, such that they did not offer any additional prognostic information beyond the IMPACT predicted risk. These results suggest that new prognostic factors for TBI should be evaluated in conjunction with predicted risks of a comprehensive prognostic model that has been validated, such as the IMPACT prognostic model.

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