Preliminary outcome analysis of a long-term rehabilitation program for severe acquired brain injury

2000 ◽  
Vol 81 (11) ◽  
pp. 1447-1456 ◽  
Author(s):  
D.Shaun Gray ◽  
Robert S. Burnham
Keyword(s):  
Brain Injury ◽  
Acquired Brain Injury ◽  
Rehabilitation Program ◽  
Outcome Analysis ◽  
Severe Acquired Brain Injury

scholarly journals Developing an instrument for an early prediction model of long-term functional outcomes in people with acquired injuries of the central nervous system: protocol and methodological aspects

2020 ◽  
Author(s):  
Stefano Masiero ◽  
Humberto Antonio Cerrel Bazo ◽  
Marcello Rattazzi ◽  
Laura Bernardi ◽  
Marina Munari ◽  
...  
Keyword(s):  
Brain Injury ◽  
Prediction Model ◽  
Prediction Models ◽  
Acquired Brain Injury ◽  
Acute Stage ◽  
Cognitive Outcomes ◽  
Cognitive Outcome ◽  
Teaching Hospitals ◽  
Severe Acquired Brain Injury

Abstract Severe acquired brain injury (ABI) is a major cause of long-term disability and is the main determinant of health and societal costs. Early identification of favourable long-term recovery would allow personalized rehabilitative programs and better health care resources allocation. In light of the higher survival rate from intensive care units (ICU) in recent years, there is a growing need for early prognostication markers of functional recovery; to date, these data have been mainly collected at rehabilitation unit admission and not during the acute phase. We present the protocol and methodology to develop prediction models in people with severe acquired brain injury (GCS at admission to ICU < 8) for the functional and cognitive outcome at 12 months from the event. Predictors will be collected during the acute stage. Participants will be recruited within the first 72 h from the event in the ICUs of two teaching hospitals (Padova and Treviso). Participants will be followed up at discharge from ICU, admission and discharge from Neurorehabilitation and after 12 months from the event. Clinical and functional scales, electroencephalography, evoked potentials, magnetic resonance imaging and serological markers will be entered into a digital registry. Survival will be estimated using the Cox proportional hazard model. A multivariate prediction model will be developed for each of the functional and cognitive outcomes at 12 months from the event.

scholarly journals Perceptions of Long-term Community-based Support Following Severe Acquired Brain Injury

2004 ◽  
Vol 5 (1) ◽  
pp. 53-66 ◽  
Author(s):  
Tamara Ownsworth ◽  
Merrill Turpin ◽  
Glenys Carlson ◽  
Julie-Anne Brennan
Keyword(s):  
Brain Injury ◽  
Acquired Brain Injury ◽  
Well Being ◽  
Effective Area ◽  
Structured Interview ◽  
Support Needs ◽  
Individual Choice ◽  
Community Based ◽  
Severe Acquired Brain Injury

AbstractMany individuals require long-term community-based support following acquired brain injury (ABI). However, very few studies have examined individuals' perceptions of these support needs. The present exploratory study examined individuals' perceptions of community-based support following severe ABI. Participants included eight individuals (aged 20–48 years) with severe ABI, seven relatives and three case managers. The individuals were receiving long-term specialised lifestyle support ranging from 3–70 hours per week. A structured interview with open and closed questions was developed to explore perceptions of individuals' support needs across the areas of personal and home-based activities, community-based activities, self-organisation and vocational activities and social and psychological well-being. The questions investigated whether support was needed, the importance of support, the sources of support, the effectiveness of support and the need for change. A comparison of the three respondent groups' perceptions of support indicated a general consensus that community-based activities were the most important and most effective area of support. When the issues raised by the three respondent groups were compared and contrasted two main themes emerged from the data, which were labelled “relationships” and “individual choice versus support needs”. These themes are discussed in relation to the provision of long-term community-based support services following ABI.

scholarly journals Short-Term and Long-Term Outcomes of a Vocational Rehabilitation Program for Patients with Acquired Brain Injury in The Netherlands

2017 ◽  
Vol 28 (3) ◽  
pp. 523-530 ◽  
Author(s):  
Caroline H. van Dongen ◽  
Paulien H. Goossens ◽  
Inge E. van Zee ◽  
Kirsten N. Verpoort ◽  
Thea P. M. Vliet Vlieland ◽  
...  
Keyword(s):  
Brain Injury ◽  
The Netherlands ◽  
Vocational Rehabilitation ◽  
Acquired Brain Injury ◽  
Rehabilitation Program ◽  
Long Term Outcomes ◽  
Short Term

scholarly journals Individualized Prognostic Prediction of the Long-Term Functional Trajectory in Pediatric Acquired Brain Injury

2021 ◽  
Vol 11 (7) ◽  
pp. 675
Author(s):  
Erika Molteni ◽  
Marta Bianca Maria Ranzini ◽  
Elena Beretta ◽  
Marc Modat ◽  
Sandra Strazzer
Keyword(s):  
Brain Injury ◽  
Latent Class ◽  
Latent Class Model ◽  
External Validation ◽  
Model Fitting ◽  
Specific Treatment ◽  
Acquired Brain Injury ◽  
Rehabilitation Program ◽  
Single Subject

In pediatric acquired brain injury, heterogeneity of functional response to specific rehabilitation treatments is a key confound to medical decisions and outcome prediction. We aimed to identify patient subgroups sharing comparable trajectories, and to implement a method for the early prediction of the long-term recovery course from clinical condition at first discharge. 600 consecutive patients with acquired brain injury (7.4 years ± 5.2; 367 males; median GCS = 6) entered a standardized rehabilitation program. Functional Independent Measure scores were measured yearly, until year 7. We classified the functional trajectories in clusters, through a latent class model. We performed single-subject prediction of trajectory membership in cases unseen during model fitting. Four trajectory types were identified (post.prob. > 0.95): high-start fast (N = 92), low-start fast (N = 168), slow (N = 130) and non-responders (N = 210). Fast responders were older (chigh = 1.8; clow = 1.1) than non-responders and suffered shorter coma (chigh = −14.7; clow = −4.3). High-start fast-responders had shorter length of stay (c = −1.6), and slow responders had lower incidence of epilepsy (c = −1.4), than non-responders (p < 0.001). Single-subject trajectory could be predicted with high accuracy at first discharge (accuracy = 0.80). In conclusion, we stratified patients based on the evolution of their response to a specific treatment program. Data at first discharge predicted the response over 7 years. This method enables early detection of the slow responders, who show poor post-acute functional gains, but achieve recovery comparable to fast responders by year 7. Further external validation in other rehabilitation programs is warranted.

Clinical course of SARS-CoV-2 infection in patients with severe acquired brain injury and a disorder of consciousness: an observational study

Brain Injury ◽  
2021 ◽  
Vol 35 (5) ◽  
pp. 520-529
Author(s):  
Antonio Caronni ◽  
Emanuele Liaci ◽  
Anna Bianchi ◽  
Alessandro Viganò ◽  
Francesco Marenco ◽  
...  
Keyword(s):  
Brain Injury ◽  
Observational Study ◽  
Clinical Course ◽  
Acquired Brain Injury ◽  
Disorder Of Consciousness ◽  
Severe Acquired Brain Injury

scholarly journals Early head-up mobilisation versus standard care for patients with severe acquired brain injury: A systematic review with meta-analysis and Trial Sequential Analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0237136
Author(s):  
Christian Gunge Riberholt ◽  
Vibeke Wagner ◽  
Jane Lindschou ◽  
Christian Gluud ◽  
Jesper Mehlsen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Brain Injury ◽  
Standard Care ◽  
Sequential Analysis ◽  
Meta Analysis ◽  
Acquired Brain Injury ◽  
Trial Sequential Analysis ◽  
Severe Acquired Brain Injury
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