scholarly journals Life after Adolescent and Adult Moderate and Severe Traumatic Brain Injury: Self-Reported Executive, Emotional, and Behavioural Function 2–5 Years after Injury

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Torun Gangaune Finnanger ◽  
Alexander Olsen ◽  
Toril Skandsen ◽  
Stian Lydersen ◽  
Anne Vik ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Depressive Symptoms ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Executive Dysfunction ◽  
Behavioural Problems ◽  
Emotional And Behavioural Problems ◽  
Long Term Outcome ◽  
Severe Tbi

Survivors of moderate-severe Traumatic Brain Injury (TBI) are at risk for long-term cognitive, emotional, and behavioural problems. This prospective cohort study investigated self-reported executive, emotional, and behavioural problems in the late chronic phase of moderate and severe TBI, if demographic characteristics (i.e., age, years of education), injury characteristics (Glasgow Coma Scale score, MRI findings such as traumatic axonal injury (TAI), or duration of posttraumatic amnesia), symptoms of depression, or neuropsychological variables in the first year after injury predicted long-term self-reported function. Self-reported executive, emotional, and behavioural functioning were assessed among individuals with moderate and severe TBI (N=67, age range 15–65 years at time of injury) 2–5 years after TBI, compared to a healthy matched control group(N=72). Results revealed significantly more attentional, emotional regulation, and psychological difficulties in the TBI group than controls. Demographic and early clinical variables were associated with poorer cognitive and emotional outcome. Fewer years of education and depressive symptoms predicted greater executive dysfunction. Younger age at injury predicted more aggressive and rule-breaking behaviour. TAI and depressive symptoms predicted Internalizing problems and greater executive dysfunction. In conclusion, age, education, TAI, and depression appear to elevate risk for poor long-term outcome, emphasising the need for long-term follow-up of patients presenting with risk factors.

scholarly journals Prognostic Value of Admission Parameters in a Machine Learning Predictive Model in Patients With Severe Traumatic Brain Injury and Acute Subdural Hematomas

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Kevin John ◽  
Aaron McPheters ◽  
Andrew Donovan ◽  
Nicolas K Khattar ◽  
Jacob R Shpilberg ◽  
...  
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Predictive Model ◽  
Severe Traumatic Brain Injury ◽  
Acute Subdural Hematoma ◽  
High Morbidity ◽  
Radiographic Findings ◽  
Severe Tbi

Abstract INTRODUCTION Acute subdural hematoma (aSDH) in the context of severe traumatic brain injury (TBI) is a neurosurgical emergency. Predictive models have been used in an attempt to modulate the morbidity and mortality of patient outcomes. We used machine learning (ML) to identify admission risk factors predictive of long-term morbidity in the severe TBI patient population with aSDH. METHODS Between 2013 and 2016, 85 patients with severe TBI and aSDH were included in the analysis. Random forest, ML architecture, was used to create a predictive model of long-term morbidity stratification. About 46 patients were included in the high morbidity group [Glasgow Outcome Scale (GOS) 1-2] and 39 patients were in the low morbidity group (GOS 3-5). We included 30 admission input variables including medical and surgical co-morbidities, neurological examination, laboratory values, and radiographic findings. RESULTS The predictive model showed a 78% precision. The highest scoring input variable was the pupillary examination in predicting high vs low morbidity (bilaterally unreactive vs symmetrically reactive; P < .0001). GCS on admission was higher in the low morbidity group (4 [3-7] vs 7 [3-7]; P < .0101). Rotterdam scores were higher in the high-morbidity group (3 [3-5] vs 4 [4-5]; P < .0032). GCS motor examination on admission was higher in the low-morbidity group (5 [1-5] vs. 2 [1-5]; P < .0106). The basal cisterns were found to be more patent in patients with the low-morbidity group (P = .0012). CONCLUSION ML is an efficient tool that can provide a reasonable level of accuracy in predicting long-term morbidity in patients with severe TBI and aSDH. Monitoring these admission criteria can help with risk-stratification of patients into higher and low risk tracks. Integration of ML into the treatment algorithm may allow the development of more refined guidelines to guide goal-directed therapy.

scholarly journals Long term outcome in survivors of decompressive craniectomy following severe traumatic brain injury

2019 ◽  
Vol 14 (1) ◽  
pp. 52
Author(s):  
Ashish Bindra ◽  
Ashutosh Kaushal ◽  
Abhyuday Kumar ◽  
Keshav Goyal ◽  
Niraj Kumar ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Severe Traumatic Brain Injury ◽  
Term Outcome ◽  
Long Term Outcome

scholarly journals The pattern of hospital-community-home (HCH) nursing in tracheostomy patients with severe traumatic brain injury: is it feasible?

2020 ◽  
Author(s):  
Xiangyi Yin ◽  
Jie Wu ◽  
Lihui Zhou ◽  
Chunyan Ni ◽  
Minyan Xiao ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Nursing Care ◽  
Severe Traumatic Brain Injury ◽  
Barthel Index ◽  
Control Group ◽  
Term Care ◽  
Severe Tbi

Abstract Background: Tracheostomy is very common in patients with severe traumatic brain injury (TBI), and long-term nursing care are needed for those patients. We aimed to evaluate the effects of hospital-community-home (HCH) nursing in those patients. Methods: Tracheostomy patients with severe TBI needing long-term care were included. All patients underwent two months long follow-up. Glasgow coma score (GCS), Karnofsky, Self-Anxiety Scale (SAS) (SAS) and Barthel assessment at the discharge and two months after discharge were evaluated. The tracheostomy related complications were recorded and compared.Results: A total of 60 patients were included. There weren’t significant differences between two groups in the GCS, Karnofsky, SAS and Barthel index at discharge((all p>0.05), the GCS, Karnofsky and Barthel index was all significantly increased after two months follow-up for two groups (all p<0.05), and the GCS, Karnofsky and Barthel index at two months follow-up in HCH group was significantly higher than that of control group(all p<0.05), but the SAS at two months follow-up in HCH group was significantly less than that of control group(p=0.009). The incidence of block of artificial tracheal cannula and readmission in HCH group were significant less than that of control group (all p<0.05).Conclusion: HCH nursing care is feasible in tracheostomy patients with severe TBI, future studies are needed to further evaluate the role of HCH nursing care.

scholarly journals Study of the Long-Term Results of Decompressive Craniectomy after Severe Traumatic Brain Injury Based on a Series of 60 Consecutive Cases

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Gaétane Gouello ◽  
Olivier Hamel ◽  
Karim Asehnoune ◽  
Eric Bord ◽  
Roger Robert ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Intracranial Hypertension ◽  
Decompressive Craniectomy ◽  
Severe Traumatic Brain Injury ◽  
Favourable Outcome ◽  
Long Term Results ◽  
Term Outcome ◽  
Long Term Outcome

Background. Decompressive craniectomy can be proposed in the management of severe traumatic brain injury. Current studies report mixed results, preventing any clear conclusions on the place of decompressive craniectomy in traumatology.Methods. The objective of this retrospective study was to evaluate the results of all decompressive craniectomies performed between 2005 and 2011 for refractory intracranial hypertension after severe traumatic brain injury. Sixty patients were included. Clinical parameters (Glasgow scale, pupillary examination) and radiological findings (Marshall CT scale) were analysed. Complications, clinical outcome, and early and long-term Glasgow Outcome Scale (GOS) were evaluated after surgery. Finally, the predictive value of preoperative parameters to guide the clinician’s decision to perform craniectomy was studied.Results. Craniectomy was unilateral in 58 cases and the mean bone flap area was 100 cm2. Surgical complications were observed in 6.7% of cases. Mean followup was 30 months and a favourable outcome was obtained in 50% of cases. The initial Glasgow Scale was the only statistically significant predictive factor for long-term outcome.Conclusion. Despite the discordant results in the literature, this study demonstrates that decompressive craniectomy is useful for the management of refractory intracranial hypertension after severe traumatic brain injury.

Severe traumatic brain injury in children—a single center experience regarding therapy and long-term outcome

2010 ◽  
Vol 26 (11) ◽  
pp. 1563-1573 ◽  
Author(s):  
Ulrich-Wilhelm Thomale ◽  
Daniela Graetz ◽  
Peter Vajkoczy ◽  
Asita S. Sarrafzadeh
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Single Center ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Single Center Experience
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