Brain injury : [BI]
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Brain injury : [BI] · Jan 2016
Prognostic models for prediction of outcomes after traumatic brain injury based on patients admission characteristics.
To identify the best performing prognostic model using admission characteristics to predict mortality at 30 days and functioning outcome at 6-months post-admission in patients with moderate or severe brain injury. ⋯ For clinical decision-making, model-2 is recommended on the basis of good performance in predicting outcomes in patients with moderate or severe TBI in India and other similar countries.
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Brain injury : [BI] · Jan 2016
Infrascanner in the diagnosis of intracranial lesions in children with traumatic brain injuries.
The number of traumatic injuries among children is increasing. However, so-called mild TBI might result in unfavourable outcomes. Early diagnosis of intracranial haematomas prior to development of serious complications may be a decisive factor for a favourable outcome. InfraScan company developed and brought to the market the Infrascanner model 1000, which is a portable detector of blood collections that operates in the near infrared (NIR) band. ⋯ Infra-scanning might be viewed as a screening technique for intracranial haemorrhages in ambulances and outpatient trauma centres in order to decide on hospitalization, CT scanning and referral to a neurosurgeon. Infra-scanning combined with evaluation of risk factors of intracranial damage might reduce the number of unnecessary radiological examinations.
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Brain injury : [BI] · Jan 2016
A retrospective cohort study of comorbidity trajectories associated with traumatic brain injury in veterans of the Iraq and Afghanistan wars.
To identify and validate trajectories of comorbidity associated with traumatic brain injury in male and female Iraq and Afghanistan war Veterans (IAV). ⋯ It was found that TBI was most common in PCT-related trajectories, indicating that TBI is commonly comorbid with pain and mental health conditions for both men and women. The relatively young age of this cohort raises important questions regarding how disease burden, including the possibility of neurodegenerative sequelae, will accrue alongside normal age-related decline in individuals with TBI. Additional 'big data' methods and a longer observation period may allow the development of predictive models to identify individuals with TBI that are at-risk for adverse outcomes.
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Brain injury : [BI] · Jan 2016
Impact of pre-injury family functioning and resources on self-reported post-concussive symptoms and functional outcomes in persons with mild TBI.
This study investigates the contribution of pre-injury family functioning and resources on self-reported post-concussive symptoms and functional outcomes in persons with mild TBI (mTBI). ⋯ Fewer family resources and younger age were associated with increased self-reported post-concussive symptoms. Fewer resources may be a potential risk factor to heightened perception of post-concussive symptoms. Providing low-cost counselling or resource facilitation services may improve outcomes for those with limited resources after mTBI.
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Brain injury : [BI] · Jan 2016
Community integration questionnaire: Outcomes of people with traumatic brain injury and high support needs compared with multiple matched controls.
To determine level of community integration in adults with traumatic brain injury and high support needs (TBI-HSN) compared with multiple matched controls. ⋯ Normative CIQ data has enabled meaningful comparisons of the community integration of adults with chronic TBI to the general population in Australia. Evidence makes clear with numeric precision that individuals with TBI and high support needs are much less integrated than their non-TBI counterparts despite living in the community for many years.