Mild Traumatic Brain Injury — the Fife Perspective

1997 ◽  
Vol 42 (2) ◽  
pp. 40-43 ◽  
Author(s):  
C.E. Skelton ◽  
R.M. Walley ◽  
J.B. Chisholm ◽  
R.L. Sloan
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Neuropsychological Testing ◽  
Age Group ◽  
Post Injury ◽  
Accident And Emergency ◽  
Brain Injured ◽  
Accident And Emergency Department ◽  
Injured Patients

Results are reported from a study to identify patients residing in Fife with mild traumatic brain injury in the 16–65 year old age group, who attended an accident and emergency department following their brain injury. Over a two month period 161 such patients attended with minor head trauma, of which 33 entered our study. The major cause of mild traumatic brain injury was assault. We found that over two-thirds of patients in the study had persisting post-concussive symptoms six months post injury. Neuropsychological testing showed problems of concentration and memory, but not at a level that was significantly different from that expected in an average population. Other studies have shown that symptom rates are higher when patients get no explanation of their symptoms and we feel that better co-ordination of services for brain injured patients in Fife is required, to provide the necessary information, education and support.

scholarly journals Saccadic Eye Movements in Mild Traumatic Brain Injury: A Pilot Study OPEN ACCESS

2014 ◽  
Vol 41 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Sarah J. Mullen ◽  
Yeni H. Yücel ◽  
Michael Cusimano ◽  
Tom A. Schweizer ◽  
Anton Oentoro ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Eye Movements ◽  
Brain Injury ◽  
Pilot Study ◽  
Mild Traumatic Brain Injury ◽  
Neuropsychological Testing ◽  
Saccadic Eye Movements ◽  
Post Injury ◽  
Persistent Symptoms

Objective:To investigate whether repeat saccadic reaction time (SRT) measurements using a portable saccadometer is useful to monitor patients with mild traumatic brain injury (mTBI).Methods:Seven patients with newly-diagnosed mTBI and five agematched controls were prospectively recruited from an emergency Department. Saccadic eye movements, symptom self-reporting and neuropsychological tests were performed within one week of injury and again at follow-up three weeks post-injury. Control patients underwent saccade recordings at similar intervals.Results:Median saccade reaction times were significantly prolonged within one week post-injury in mTBI compared to controls. At follow-up assessment there was no significant between-groups difference. Changes in median SRT between the two assessments were not statistically significant. Four of the seven mTBI patients showed significantly increased SRT at follow-up; three of the mTBI patients and all controls showed no significant change. Among the three mTBI patients with persistent decreased SRT, two experienced loss of consciousness and reported the greatest symptoms, while the third was the only subject with significant decrease in neuropsychological testing scores at both assessments.Conclusion:In three of seven mTBI patients, saccadic eye movements remained delayed within three weeks post-injury. These three patients also showed persistent symptoms or no improvement on neuropsychological testing. This pilot study using a portable saccadometer suggests that comparing SRT from three weeks post-injury to that within one week of injury may be useful for early detection of a subpopulation at risk of persistent disability from mTBI. This finding suggests that further investigation in a large study population is warranted.

Performance on the Wechsler Memory Scale-Revised for Patients with Mild Traumatic Brain Injury and Mild Dementia

1997 ◽  
Vol 84 (1) ◽  
pp. 131-138 ◽  
Author(s):  
Alan E. Brooker
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Mild Dementia ◽  
Paired Associates ◽  
Wechsler Memory Scale ◽  
Dementia Patients ◽  
Brain Injured ◽  
Traumatic Brain Injured ◽  
Injured Patients

The purpose of this study was to delineate significant differences among mild traumatic brain-injured and early onset mild dementia patients examined using the Wechsler Memory Scale-Revised subtests. In comparison to 12 mild traumatic brain-injured patients, 11 mild dementia patients scored significantly lower on Verbal Paired Associates I and II, Visual Reproduction I and II, and Visual Paired Associates I. Raw score summaries for the Wechsler Memory Scale-Revised indicated significantly lower scores on Verbal Memory, Visual Memory, and the over-all composite General Memory for mild dementia patients in comparison to individuals who sustained a mild traumatic brain injury. Despite equivalent scores on Attention/Concentration, the dementia group did not show significantly lowered delay in memory recall by comparison with mild closed-head injured patients. The study recommends replication with much larger sample sizes to validate the results.

Severity of Ongoing Post-Concussive Symptoms as a Predictor of Cognitive Performance Following a Pediatric Mild Traumatic Brain Injury

2020 ◽  
pp. 1-11
Author(s):  
Veronik Sicard ◽  
Danielle C. Hergert ◽  
Sharvani Pabbathi Reddy ◽  
Cidney R. Robertson-Benta ◽  
Andrew B. Dodd ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Cognitive Performance ◽  
Mild Traumatic Brain Injury ◽  
Parental Education ◽  
Visual Learning ◽  
Learning Task ◽  
Risk Scores ◽  
Group Differences ◽  
Post Injury

Abstract Objective: This study aimed to examine the predictors of cognitive performance in patients with pediatric mild traumatic brain injury (pmTBI) and to determine whether group differences in cognitive performance on a computerized test battery could be observed between pmTBI patients and healthy controls (HC) in the sub-acute (SA) and the early chronic (EC) phases of injury. Method: 203 pmTBI patients recruited from emergency settings and 159 age- and sex-matched HC aged 8–18 rated their ongoing post-concussive symptoms (PCS) on the Post-Concussion Symptom Inventory and completed the Cogstate brief battery in the SA (1–11 days) phase of injury. A subset (156 pmTBI patients; 144 HC) completed testing in the EC (∼4 months) phase. Results: Within the SA phase, a group difference was only observed for the visual learning task (One-Card Learning), with pmTBI patients being less accurate relative to HC. Follow-up analyses indicated higher ongoing PCS and higher 5P clinical risk scores were significant predictors of lower One-Card Learning accuracy within SA phase, while premorbid variables (estimates of intellectual functioning, parental education, and presence of learning disabilities or attention-deficit/hyperactivity disorder) were not. Conclusions: The absence of group differences at EC phase is supportive of cognitive recovery by 4 months post-injury. While the severity of ongoing PCS and the 5P score were better overall predictors of cognitive performance on the Cogstate at SA relative to premorbid variables, the full regression model explained only 4.1% of the variance, highlighting the need for future work on predictors of cognitive outcomes.

scholarly journals Exosomal MicroRNA Differential Expression in Plasma of Young Adults with Chronic Mild Traumatic Brain Injury and Healthy Control

Biomedicines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Rany Vorn ◽  
Maiko Suarez ◽  
Jacob C. White ◽  
Carina A. Martin ◽  
Hyung-Suk Kim ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Young Adults ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Pathophysiological Mechanism ◽  
Post Injury ◽  
Persistent Symptoms ◽  
Healthy Control ◽  
Underlying Mechanisms

Chronic mild traumatic brain injury (mTBI) has long-term consequences, such as neurological disability, but its pathophysiological mechanism is unknown. Exosomal microRNAs (exomiRNAs) may be important mediators of molecular and cellular changes involved in persistent symptoms after mTBI. We profiled exosomal microRNAs (exomiRNAs) in plasma from young adults with or without a chronic mTBI to decipher the underlying mechanisms of its long-lasting symptoms after mTBI. We identified 25 significantly dysregulated exomiRNAs in the chronic mTBI group (n = 29, with 4.48 mean years since the last injury) compared to controls (n = 11). These miRNAs are associated with pathways of neurological disease, organismal injury and abnormalities, and psychological disease. Dysregulation of these plasma exomiRNAs in chronic mTBI may indicate that neuronal inflammation can last long after the injury and result in enduring and persistent post-injury symptoms. These findings are useful for diagnosing and treating chronic mTBIs.

scholarly journals Structural brain connectivity predicts acute pain after mild traumatic brain injury

2021 ◽  
Author(s):  
Paulo Branco ◽  
Noam Bosak ◽  
Jannis Bielefeld ◽  
Olivia Cong ◽  
Yelena Granovsky ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Mild Traumatic Brain Injury ◽  
Acute Pain ◽  
Pain Perception ◽  
Strong Predictor ◽  
Pain Modulation ◽  
Acute Injury ◽  
Post Injury

Mild traumatic brain injury, mTBI, is a leading cause of disability worldwide, with acute pain manifesting as one of its most debilitating symptoms. Understanding acute post-injury pain is important since it is a strong predictor of long-term outcomes. In this study, we imaged the brains of 172 patients with mTBI, following a motorized vehicle collision and used a machine learning approach to extract white matter structural and resting state fMRI functional connectivity measures to predict acute pain. Stronger white matter tracts within the sensorimotor, thalamic-cortical, and default-mode systems predicted 20% of the variance in pain severity within 72 hours of the injury. This result generalized in two independent groups: 39 mTBI patients and 13 mTBI patients without whiplash symptoms. White matter measures collected at 6-months after the collision still predicted mTBI pain at that timepoint (n = 36). These white-matter connections were associated with two nociceptive psychophysical outcomes tested at a remote body site – namely conditioned pain modulation and magnitude of suprathreshold pain–, and with pain sensitivity questionnaire scores. Our validated findings demonstrate a stable white-matter network, the properties of which determine a significant amount of pain experienced after acute injury, pinpointing a circuitry engaged in the transformation and amplification of nociceptive inputs to pain perception.

scholarly journals Self-Reported Complaints as Prognostic Markers for Outcome After Mild Traumatic Brain Injury in Elderly: A Machine Learning Approach

2021 ◽  
Vol 12 ◽  
Author(s):  
Mayra Bittencourt ◽  
Sebastián A. Balart-Sánchez ◽  
Natasha M. Maurits ◽  
Joukje van der Naalt
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Elderly Patients ◽  
Neck Pain ◽  
Functional Outcome ◽  
Mild Traumatic Brain Injury ◽  
Prognostic Markers ◽  
The Elderly ◽  
Post Injury

Self-reported complaints are common after mild traumatic brain injury (mTBI). Particularly in the elderly with mTBI, the pre-injury status might play a relevant role in the recovery process. In most mTBI studies, however, pre-injury complaints are neither analyzed nor are the elderly included. Here, we aimed to identify which individual pre- and post-injury complaints are potential prognostic markers for incomplete recovery (IR) in elderly patients who sustained an mTBI. Since patients report many complaints across several domains that are strongly related, we used an interpretable machine learning (ML) approach to robustly deal with correlated predictors and boost classification performance. Pre- and post-injury levels of 20 individual complaints, as self-reported in the acute phase, were analyzed. We used data from two independent studies separately: UPFRONT study was used for training and validation and ReCONNECT study for independent testing. Functional outcome was assessed with the Glasgow Outcome Scale Extended (GOSE). We dichotomized functional outcome into complete recovery (CR; GOSE = 8) and IR (GOSE ≤ 7). In total 148 elderly with mTBI (median age: 67 years, interquartile range [IQR]: 9 years; UPFRONT: N = 115; ReCONNECT: N = 33) were included in this study. IR was observed in 74 (50%) patients. The classification model (IR vs. CR) achieved a good performance (the area under the receiver operating characteristic curve [ROC-AUC] = 0.80; 95% CI: 0.74–0.86) based on a subset of only 8 out of 40 pre- and post-injury complaints. We identified increased neck pain (p = 0.001) from pre- to post-injury as the strongest predictor of IR, followed by increased irritability (p = 0.011) and increased forgetfulness (p = 0.035) from pre- to post-injury. Our findings indicate that a subset of pre- and post-injury physical, emotional, and cognitive complaints has predictive value for determining long-term functional outcomes in elderly patients with mTBI. Particularly, post-injury neck pain, irritability, and forgetfulness scores were associated with IR and should be assessed early. The application of an ML approach holds promise for application in self-reported questionnaires to predict outcomes after mTBI.

scholarly journals The Expanding Role of Quantitative Pupillometry in the Evaluation and Management of Traumatic Brain Injury

2021 ◽  
Vol 12 ◽  
Author(s):  
Jason H. Boulter ◽  
Margaret M. Shields ◽  
Melissa R. Meister ◽  
Gregory Murtha ◽  
Brian P. Curry ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Brain Injuries ◽  
Ease Of Use ◽  
Brain Injured ◽  
The World ◽  
Injured Patients ◽  
Austere Environments ◽  
Active Investigation

Traumatic brain injury is a rapidly increasing source of morbidity and mortality across the world. As such, the evaluation and management of traumatic brain injuries ranging from mild to severe are under active investigation. Over the last two decades, quantitative pupillometry has been increasingly found to be useful in both the immediate evaluation and ongoing management of traumatic brain injured patients. Given these findings and the portability and ease of use of modern pupillometers, further adoption and deployment of quantitative pupillometers into the preclinical and hospital settings of both resource rich and medically austere environments.

Multimodality Monitoring

2018 ◽  
pp. 155-164
Author(s):  
Maranatha Ayodele ◽  
Kristine O’Phelan
Keyword(s):  
Traumatic Brain Injury ◽  
Critical Care ◽  
Brain Injury ◽  
Early Recognition ◽  
Secondary Injury ◽  
Multimodality Monitoring ◽  
Injured Brain ◽  
Brain Injured ◽  
Physiologic Parameters ◽  
Injured Patients

Advancements in the critical care of patients with various forms of acute brain injury (traumatic brain injury, subarachnoid hemorrhage, stroke, etc.) in its current evolution recognizes that in addition to the initial insult, there is a secondary cascade of physiological events in the injured brain that contribute significantly to morbidity and mortality. Multimodality monitoring (MMM) in neurocritical care aims to recognize this secondary cascade in a timely manner. With early recognition, critical care of brain-injured patients may then be tailored to preventing and alleviating this secondary injury. MMM includes a variety of invasive and noninvasive techniques aimed at monitoring brain physiologic parameters such as intracranial pressure, perfusion, oxygenation, blood flow, metabolism, and electrical activity. This chapter provides an overview of these techniques and offers a practical guide to their integration and use in the intensive care setting.

scholarly journals Highly Sensitive Single Molecular Array Immunoassay Measurement of t-Tau, NF-L, GFAP, and UCH-L1 Biomarkers in Acute Concussion/Mild Traumatic Brain Injury (mTBI) Patient Serum and Saliva Samples

Neurology ◽  
2019 ◽  
Vol 93 (14 Supplement 1) ◽  
pp. S19.3-S20
Author(s):  
Ahmed Chenna ◽  
Christos Petropoulos ◽  
John Winslow
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Limited Information ◽  
Post Injury ◽  
Time Points ◽  
Highly Sensitive ◽  
Biomarker Analysis ◽  
T Tau ◽  
Control Samples

ObjectiveTo determine if t-Tau, NF-L, GFAP and UCH-L1 protein biomarkers are elevated in early time points of acute concussion/mild traumatic brain injury patient serum and saliva, relative to control samples.Backgroundt-Tau, NF-L, GFAP and UCH-L1 levels have been reported to increase in cerebral spinal fluid (CSF) and blood following head trauma within 24 hours or longer, and are candidate diagnostic and prognostic biomarkers of concussion and mild to moderate TBI. However, limited information exists on the relationship between these biomarkers at short time points post-injury, and detectability in saliva of mTBI patients.Design/MethodsBiomarker analysis of serum from a total of 120 participants, derived from two independent sample groups consisting of 60 concussion/mTBI patients each, with blood collected within 1-4 hr and 8-16 hr post-injury, respectively, was compared with 30 healthy control sera. Saliva samples were collected after 8-16 hr post-injury from a n = 30 subset of the same patients. Quanterix Simoa 4-plex immunoassay was used for highly sensitive measurements of these biomarkers.ResultsMedian levels of NF-L, GFAP and UCH-L1 were significantly higher in independent sets of patient serum samples (n = 60 each), both at early (1–4 hr) and later (8–16 hr) time points post-mTBI/concussion, relative to control samples (n = 30) (p < 0.0001, = 0.0001, <0.0001, respectively). Low levels of t-Tau are detected, but are significantly elevated post-concussion relative to controls (p = 0.0001). Significant correlations were observed between levels of t-Tau and UCH-L1, NF-L and GFAP, and t-Tau and GFAP in both post-injury time-point groups, and between NF-L and UCH-L1 levels in the 8-16 hr group. The four biomarkers were detected in saliva from concussion/mTBI patients (n = 30).ConclusionsThis study supports the utility of ultra-sensitive multiplex immunoassays to detect increases in CNS proteins at high sensitivity in serum and saliva within 1-4 and 8-16 hr of concussion/mTBI.

Sign in / Sign up

Export Citation Format

Share Document