scholarly journals An observational study of trait and state fatigue, and their relation to cognitive fatigability and saccade performance

Concussion ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. CNC62
Author(s):  
Marika C Möller ◽  
Jan Johansson ◽  
Giedre Matuseviciene ◽  
Tony Pansell ◽  
Catharina Nygren Deboussard
Keyword(s):  
Traumatic Brain Injury ◽  
Prognostic Factors ◽  
Brain Injury ◽  
Pilot Study ◽  
Observational Study ◽  
Mild Traumatic Brain Injury ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Fatigue Severity ◽  
Over Time

Aim: Different fatigue measurements and their relation to saccadic functions were investigated in 15 patients with a mild traumatic brain injury (mTBI) and 15 orthopedic controls. Materials & methods: State fatigue was measured with the Fatigue Severity Scale and trait fatigue with the question on fatigue in the Rivermead Post Concussion Questionnaire and fatigability as decreased performance over time on a neuropsychological measure. Results: Patients with an mTBI scored significantly higher in state fatigue and showed more fatigability compared with the orthopedic controls. Among patients with mTBI, state fatigue correlated with prosaccade latency and cognitive fatigability, while trait fatigue correlated with anxiety and antisaccade latency and variability. Conclusion: This pilot study indicates that saccade measurements might, in the future, be useful in the understanding of fatigue and in the search for prognostic factors after mTBI.

Prognostic Factors for Persistent Symptoms in Adults With Mild Traumatic Brain Injury: an Overview of Systematic Reviews

2021 ◽  
Author(s):  
Julien Déry ◽  
Béatrice Ouellet ◽  
Élaine de Guise ◽  
Ève-Line Bussières ◽  
Marie-Eve Lamontagne
Keyword(s):  
Traumatic Brain Injury ◽  
Prognostic Factors ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Systematic Reviews ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Persistent Symptoms ◽  
Wide Range ◽  
Overview Of Systematic Reviews

Abstract Background: Mild traumatic brain injury (mTBI) is an increasing public health problem, because of its persistent symptoms and several functional consequences. Understanding the prognosis of a condition is an important component of clinical decision-making and can help to guide prevention of persistent symptoms following mTBI. Prognosis of mTBI has stimulated several empirical primary research papers and many systematic reviews leading to the identification of a wide range of factors. We aim to synthesize these factors to get a better understanding of their breadth and scope.Methods: We conducted an overview of systematic reviews. We searched in databases systematic reviews synthesizing evidence about prognosis of persistent symptoms after mTBI in the adult population. Two reviewers independently screened all references and selected eligible reviews based on eligibility criteria. They extracted relevant information using an extraction grid. They also rated independently the risk of bias using the ROBIS tool. We synthesized evidence into a comprehensive conceptual map to facilitate the understanding of prognostic factors that have an impact on persistent post-concussion symptoms.Results: From the 3857 references retrieved in database search, we included 25 systematic reviews integrating the results of 312 primary articles published between 1957 and 2019. We examined 35 prognostic factors from the systematics reviews. No single prognostic factor demonstrated convincing and conclusive results. However, age, sex and multiple concussions showed an affirmatory association with persistent post-concussion outcomes in systematic reviews.Conclusion: We highlighted the need of a comprehensive picture of prognostic factors related to persistent post-concussion symptoms. We believe that these prognostic factors would guide clinical decision and research related to prevention and intervention regarding persistent post-concussion symptoms.Systematic review registration: PROSPERO CRD42020176676

Study of neurometabolic and behavioral alterations in rodent model of mild traumatic brain injury: a pilot study

2016 ◽  
Vol 29 (12) ◽  
pp. 1748-1758 ◽  
Author(s):  
Kavita Singh ◽  
Richa Trivedi ◽  
Seenu Haridas ◽  
Kailash Manda ◽  
Subash Khushu
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Pilot Study ◽  
Mild Traumatic Brain Injury ◽  
Rodent Model ◽  
Behavioral Alterations

scholarly journals Vergence in mild traumatic brain injury: A pilot study

2012 ◽  
Vol 49 (7) ◽  
pp. 1083 ◽  
Author(s):  
Dora Szymanowicz ◽  
Kenneth J. Ciuffreda ◽  
Preethi Thiagarajan ◽  
Diana P. Ludlam ◽  
Wesley Green ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Pilot Study ◽  
Mild Traumatic Brain Injury

Self-efficacy and acceptance of disability following mild traumatic brain injury: A pilot study

2019 ◽  
Vol 27 (5) ◽  
pp. 468-477 ◽  
Author(s):  
Einat Yehene ◽  
Gal Lichtenstern ◽  
Yirmi Harel ◽  
Eran Druckman ◽  
Yaron Sacher
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Pilot Study ◽  
Mild Traumatic Brain Injury ◽  
Self Efficacy

A decision tree framework for understanding blast-induced mild Traumatic Brain Injury in a military medical database

2017 ◽  
Vol 14 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Peter B Walker ◽  
Melissa L Mehalick ◽  
Amanda C Glueck ◽  
Anna E Tschiffely ◽  
Craig A Cunningham ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Personalized Medicine ◽  
Decision Tree ◽  
Mild Traumatic Brain Injury ◽  
Health Data ◽  
Decision Tree Classifier ◽  
Tree Classifier ◽  
Clustering Quality ◽  
Over Time

Personalized medicine is a ubiquitous term that has come to be used to describe a medical model that proposes the customization of healthcare, such that decisions and/or treatments are tailored to each individual patient. Under this type of clinical practice model, diagnostic and prognostic decisions are often based upon selecting the most appropriate therapy based on a patient’s genetic, demographic, and/or other pertinent information. The primary aim of this paper is to use a personalized medicine framework to better understand the relationship between neuropsychological testing and the progression of symptoms in a blast-induced mild Traumatic Brain Injury (mTBI) patient population. In this paper, we extended our earlier work on Constrained Spectral Partitioning (CSP), a graph-based approach that incorporates additional information from separate graphs to help improve the clustering quality on both graphs simultaneously. While our previous work demonstrated the effectiveness of this algorithm in its ability to accurately classify whether symptoms improved or declined over time, that work did not provide any insights into the progression of symptoms. Therefore, this paper sought to identify, from a clinical perspective, whether symptoms increased/decreased over time. To accomplish this, we developed a decision tree classifier to classify symptom progression based on the outputs from our CSP algorithm. We present results from four separate decision tree classifiers that illustrate the adaptability of these algorithms for utilization as decision rules for the treatment of patients following blast-induced mTBI. Decision tree classifier models are useful in the healthcare setting because patient health data (e.g., diagnosis of a condition or a type of treatment) can be imput into the model and, based on the health data variables, a resulting outcome can be suggested, and providers can use this outcome as information to direct their clinical treatment.

scholarly journals A pilot study on Alzheimer’s disease‐related biological and cognitive markers in dementia and history of mild traumatic brain injury

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Christian LoBue ◽  
Patricia Champagne ◽  
Catherine E Munro ◽  
Kyle B Womack ◽  
Brendan Kelley ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Pilot Study ◽  
Mild Traumatic Brain Injury ◽  
Cognitive Markers ◽  
History Of

scholarly journals Coping Strategies as a Predictor of Post-concussive Symptoms in Children with Mild Traumatic Brain Injury versus Mild Orthopedic Injury

2011 ◽  
Vol 17 (2) ◽  
pp. 317-326 ◽  
Author(s):  
Stacey E. Woodrome ◽  
Keith Owen Yeates ◽  
H. Gerry Taylor ◽  
Jerome Rusin ◽  
Barbara Bangert ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Coping Strategies ◽  
Mild Traumatic Brain Injury ◽  
Group Differences ◽  
Post Injury ◽  
Mild Tbi ◽  
Orthopedic Injury ◽  
Children's Coping ◽  
Over Time

AbstractThis study examined whether children's coping strategies are related to post-concussive symptoms following mild traumatic brain injury (TBI) versus orthopedic injury (OI). Participants were 8- to 15-year-old children with mild TBI (n = 167) or OI (n = 84). They rated their current preferred coping strategies and post-injury symptoms at 2 weeks (baseline) and 1, 3, and 12 months post-injury. Children's reported use of coping strategies did not vary significantly over time, so their baseline coping ratings were examined as predictors of post-concussive symptoms across time. Self-ratings of symptoms were positively related to emotion-focused strategies and negatively related to problem-focused engagement after both mild TBI and OI. Higher problem-focused disengagement predicted larger group differences in children's ratings of symptoms, suggesting that problem-focused disengagement moderates the effects of mild TBI. Coping strategies collectively accounted for approximately 10–15% of the variance in children's post-concussive symptoms over time. The findings suggest that coping may play an important role in accounting for children's perceptions of post-concussive symptoms after mild TBI. (JINS, 2011, 17, 317–326)

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