Health-related quality of life after mild, moderate and severe traumatic brain injury: Patterns and predictors of suboptimal functioning during the first year after injury

Scholten, Annemieke C.; Haagsma, Juanita A.; Andriessen, Teuntje M. J. C.; Vos, Pieter E.; Steyerberg, Ewout W.; Beeck, Ed F. van; Polinder, Suzanne

doi:10.1016/j.injury.2014.10.064

Cited by 134 publications

(118 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the present study, the functional capacity wasn't correlated with QOL, which is contradictory to the results found previously 27 . It is likely that this difference may have occurred due to the restricted sample studied and may indicate the need to use more sensitive instruments such as Functional Independence Measure (FIM), the Glasgow Outcome Scale Extended (GOSE), and the Disability Rating Scale (DRS) 23,28,29,30 .…”

contrasting

confidence: 99%

Predictors of quality of life after moderate to severe traumatic brain injury

Weber

Guimarães

Pontes-Neto

et al. 2016

Arq. Neuro-Psiquiatr.

View full text Add to dashboard Cite

Objective To verify correlations between age, injury severity, length of stay (LOS), cognition, functional capacity and quality of life (QOL) six months after hospital discharge (HD) of victims of traumatic brain injury (TBI). Method 50 patients consecutively treated in a Brazilian emergency hospital were assessed at admission, HD and six months after HD. The assessment protocol consisted in Abbreviated Injury Scale, Injury Severity Score, Glasgow Coma Scale (GCS), Revised Trauma Score (RTS), Mini Mental Test, Barthel Index and World Health Organization QOL - Brief. Results Strong negative correlation was observed between LOS and GCS and LOS and RTS. An almost maximal correlation was found between RTS and GCS and functional capacity and GCS at HD. Age and LOS were considered independent predictors of QOL. Conclusion Age and LOS are independent predictors of QOL after moderate to severe TBI.

show abstract

contrasting

confidence: 99%

Predictors of quality of life after moderate to severe traumatic brain injury

Weber

Guimarães

Pontes-Neto

et al. 2016

Arq. Neuro-Psiquiatr.

View full text Add to dashboard Cite

show abstract

“…These changes persist beyond the acute phase of treatment and continue for a long period after the traumatic event. Because the brain tissue is functionally impaired but not destroyed, the brain may gradually regain normal function as the clinical condition stabilizes and neural connections are remodeled due to plasticity (9–12). …”

Section: Introductionmentioning

confidence: 99%

Diffuse Axonal Injury: Epidemiology, Outcome and Associated Risk Factors

et al. 2016

View full text Add to dashboard Cite

Diffuse axonal injury (DAI), a type of traumatic injury, is known for its severe consequences. However, there are few studies describing the outcomes of DAI and the risk factors associated with it. This study aimed to describe the outcome for patients with a primary diagnosis of DAI 6 months after trauma and to identify sociodemographic and clinical factors associated with mortality and dependence at this time point. Seventy-eight patients with DAI were recruited from July 2013 to February 2014 in a prospective cohort study. Patient outcome was analyzed using the Extended Glasgow Outcome Scale (GOS-E) within 6 months of the traumatic injury. The mean Injury Severity Score was 35.0 (SD = 11.9), and the mean New Injury Severity Score (NISS) was 46.2 (SD = 15.9). Mild DAI was observed in 44.9% of the patients and severe DAI in 35.9%. Six months after trauma, 30.8% of the patients had died, and 45.1% had shown full recovery according to the GOS-E. In the logistic regression model, the severity variables – DAI with hypoxia, as measured by peripheral oxygen saturation, and hypotension with NISS value – had a statistically significant association with patient mortality; on the other hand, severity of DAI and length of hospital stay were the only significant predictors for dependence. Therefore, severity of DAI emerged as a risk factor for both mortality and dependence.

show abstract

“…Prevalence is slightly higher (14.3%) among New Zealand (NZ) males aged 35-39 years [2]. Following a TBI, people can experience long-term cognitive and emotional difficulties that affect every day functioning, decision making, social relationships and employment [3,4,5,6]. Additionally, there is evidence of a relationship between TBI and increased dysregulated behaviours such as impulsivity and aggression, mood disturbances and substance abuse and psychiatric conditions and [7] a link between a history of TBI and engagement in antisocial or criminal behaviour has been proposed [8,9].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Traumatic Brain Injury in a Male Adult Prison Population and Its Association with the Offence Type

Mitchell¹,

Theadom²,

Preez

2017

Neuroepidemiology

View full text Add to dashboard Cite

Background: The prevalence of traumatic brain injury (TBI) in prison populations has been found to vary considerably. This study aimed to determine the prevalence of TBI in a prison population in New Zealand and to identify whether age, ethnicity, offence type, security classification and sentence length were linked to TBI prevalence. Methods: All offenders admitted to a new Corrections Facility over a 6-month period (May-November 2015) were screened to understand their history of TBI. Data was merged with demographic information, details of the offence type, sentence length and security classification from the prison database. Binary logistic regression was used to identify the contribution of predictors on TBI history. Results: Of the 1,061 eligible male prisoners, 1,054 (99.3%) completed a TBI history screen. Out of the 672 (63.7%) who had sustained at least one TBI in their lifetime, 343 (32.5%) had experienced multiple injuries. One in 5 participants experienced their first TBI injury before the age of 15 years. A regression model was able to correctly classify 66.9% of cases and revealed that belonging to Māori ethnicity or being imprisoned for violent, sexual or burglary offences were independently predictive of TBI (χ² = 9.86, p = 0.28). Conclusions: The high prevalence of TBI within male prisoners and a high proportion of injuries sustained in childhood suggest the need for routine screening for TBI to identify prisoners at risk of persistent difficulties. Interventions to support those experiencing persistent difficulties post-TBI are needed to optimise functioning and prevent reoffending.

show abstract

Health-related quality of life after mild, moderate and severe traumatic brain injury: Patterns and predictors of suboptimal functioning during the first year after injury

Cited by 134 publications

References 48 publications

Predictors of quality of life after moderate to severe traumatic brain injury

Predictors of quality of life after moderate to severe traumatic brain injury

Diffuse Axonal Injury: Epidemiology, Outcome and Associated Risk Factors

Prevalence of Traumatic Brain Injury in a Male Adult Prison Population and Its Association with the Offence Type

Contact Info

Product

Resources

About