Three methods for examining trajectories in neuropsychological performance across the first 4 years after mild Traumatic Brain Injury

2019 ◽  
pp. 1-14
Author(s):  
Suzanne Barker-Collo ◽  
Alice Theadom ◽  
Kelly Jones ◽  
Nicola Starkey ◽  
Kris Fernando ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Growth Curve ◽  
Neuropsychological Test ◽  
Vital Signs ◽  
Population Based ◽  
Growth Curve Analysis ◽  
Post Injury ◽  
Growth Curve Modelling

Abstract Background: Emerging data suggest that recovery from mild traumatic brain injury (mTBI) takes longer than previously thought. This paper examines trajectories for cognitive recovery up to 48 months post-mTBI, presenting these visually using a Sankey diagram and growth curve analysis. Methods: This sample (n = 301) represents adults (≥16 years) from a population-based Brain Injury Outcomes in the New Zealand Community study over a 4-year follow-up on the CNS-Vital Signs neuropsychological test. Data were collected within 2 weeks of injury, and then at 1, 6, 12 and 48 months post-injury. Results: Significant improvement in cognitive functioning was seen up to 6 months post-injury. Using growth curve modelling, we found significant improvements in overall neurocognition from baseline to 6 months, on average participants improved one point per month (0.9; 95% CI 0.42–1.39) p < 0.001. No change in neurocognition was found within the time periods 6–12 months or 12–48 months. The Sankey highlighted that at each time point, a small proportion of participants remained unchanged or declined. Proportionally, few show any improvement after the first 6 months. Conclusion: Most individuals remained stable or improved over time to 6 months post-injury. Summary statistics are informative regarding overall trends, but can mask differing trajectories for recovery. The Sankey diagram indicates that not all improve, as well as the potential impact of individuals moving in and out of the study. The Sankey diagram also indicated the level of functioning of those most likely to withdraw, allowing targeting of retention strategies.

scholarly journals Population-based cohort study of the impacts of mild traumatic brain injury in adults four years post-injury

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191655 ◽  
Author(s):  
Alice Theadom ◽  
Nicola Starkey ◽  
Suzanne Barker-Collo ◽  
Kelly Jones ◽  
Shanthi Ameratunga ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Cohort Study ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Population Based ◽  
Post Injury

A-97 Headache before and after Mild Traumatic Brain Injury: Acute-to-Subacute Outcomes in Patients with no Headache, Pre-Existing Headache, and Post-Traumatic Headache

2021 ◽  
Vol 36 (6) ◽  
pp. 1145-1145
Author(s):  
Justin E Karr ◽  
Michael W Williams ◽  
Grant L Iverson ◽  
Sheng-Jean Huang ◽  
Chi-Cheng Yang
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Neuropsychological Tests ◽  
Neuropsychological Test ◽  
Future Research ◽  
Cognitive Symptoms ◽  
Post Injury ◽  
Before And After ◽  
Post Traumatic

Abstract Objective Patients who experience a mild traumatic brain injury (MTBI) may have a headache condition preceding injury, develop a post-traumatic headache after injury, or experience headache neither before nor after injury. This study examined whether MTBI patients with no headache, pre-existing headache, and post-traumatic headache differed in acute-to-subacute outcomes. Method Patients with MTBI were recruited from an outpatient neurosurgery clinic in Taipei, Taiwan after emergency department referral (N = 291; 40.2% men; M = 37.9 ± 13.9 years-old; Mdn = 7 days-since-injury, range = 0–21), completing neuropsychological tests of attention, memory, and verbal fluency and questionnaires evaluating depression, anxiety, and post-concussion symptoms. Participants with no headache (reported neither pre- or post-injury), pre-existing headache (reported pre-injury headache, of whom some reported worsened post-injury headache), and post-traumatic headache (denied pre-injury headache, reported post-injury headache) were compared using non-parametric ANCOVA, controlling for gender and days-since-injury. Results Neuropsychological test performances did not differ between headache groups. Participants with pre-injury headache and post-traumatic headache had greater change in self-reported physical (F = 25.52, p &lt; 0.011, η2 = 0.15) and cognitive symptoms (F = 3.74, p = 0.025, η2 = 0.03) than participants with no headache. Participants with pre-injury headache reported worse post-injury anxiety symptoms than participants with post-traumatic headache (F = 12.02, p &lt; 0.011, η2 = 0.08). Conclusion(s) Participants with pre-injury and post-traumatic headache did not differ in outcome within 21 days of injury but had worse self-reported physical and cognitive symptoms than participants with no headache. Most participants with pre-injury headache experienced worsened headache following MTBI (53.7%). Future research is needed to assess whether more specific headache subtypes are differentially associated with MTBI outcome.

Posttraumatic Stress Disorder Exacerbates Emotional Complaints but not Cognitive Impairments in Individuals Suffering from Postconcussional Disorder after Mild Traumatic Brain Injury

2015 ◽  
Vol 26 (1) ◽  
pp. 35-50 ◽  
Author(s):  
Sara C. Schroeder ◽  
Ronald M. Ruff ◽  
Lutz Jäncke
Keyword(s):  
Traumatic Brain Injury ◽  
Posttraumatic Stress Disorder ◽  
Brain Injury ◽  
Posttraumatic Stress ◽  
Mild Traumatic Brain Injury ◽  
Test Performance ◽  
Stress Disorder ◽  
Negative Impact ◽  
Neuropsychological Test ◽  
Composite Scale

The aim of this study was to examine the effect of posttraumatic stress disorder (PTSD) on (a) neuropsychological test performance and (b) self-reported emotional complaints within individuals suffering from postconcussional disorder (PCD) after a mild traumatic brain injury (MTBI). A two-group comparative research design was employed. Two MTBI samples with and without PTSD were assessed with a neuropsychological test battery and the Ruff Neurobehavioral Inventory (RNBI). On the neurocognitive test performances no significant between group differences were found, but the MTBI group with PTSD endorsed a significantly greater number of emotional complaints, especially in the RNBI subscales of anxiety and depression. The patients with PTSD also endorsed a significantly greater number of premorbid sequelae in the RNBI emotional composite scale as well as the RNBI premorbid subscales of pain, anxiety and abuse. In sum, PTSD has a negative impact on emotional but not cognitive functioning within individuals suffering from PCD after a mild TBI.

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 Long-Term Survival Following Traumatic Brain Injury: A Population-Based Parametric Survival Analysis

2016 ◽  
Vol 47 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Gordon W. Fuller ◽  
Jeanine Ransom ◽  
Jay Mandrekar ◽  
Allen W. Brown
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
General Population ◽  
Life Expectancy ◽  
Health Planning ◽  
Population Based ◽  
Post Injury ◽  
Term Survival ◽  
Parametric Survival

Background: Long-term mortality may be increased following traumatic brain injury (TBI); however, the degree to which survival could be reduced is unknown. We aimed at modelling life expectancy following post-acute TBI to provide predictions of longevity and quantify differences in survivorship with the general population. Methods: A population-based retrospective cohort study using data from the Rochester Epidemiology Project (REP) was performed. A random sample of patients from Olmsted County, Minnesota with a confirmed TBI between 1987 and 2000 was identified and vital status determined in 2013. Parametric survival modelling was then used to develop a model to predict life expectancy following TBI conditional on age at injury. Survivorship following TBI was also compared with the general population and age- and gender-matched non-head injured REP controls. Results: Seven hundred and sixty nine patients were included in complete case analyses. The median follow-up time was 16.1 years (interquartile range 9.0-20.4) with 120 deaths occurring in the cohort during the study period. Survival after acute TBI was well represented by a Gompertz distribution. Victims of TBI surviving for at least 6 months post-injury demonstrated a much higher ongoing mortality rate compared to the US general population and non-TBI controls (hazard ratio 1.47, 95% CI 1.15-1.87). US general population cohort life table data was used to update the Gompertz model's shape and scale parameters to account for cohort effects and allow prediction of life expectancy in contemporary TBI. Conclusions: Survivors of TBI have decreased life expectancy compared to the general population. This may be secondary to the head injury itself or result from patient characteristics associated with both the propensity for TBI and increased early mortality. Post-TBI life expectancy estimates may be useful to guide prognosis, in public health planning, for actuarial applications and in the extrapolation of outcomes for TBI economic models.

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.

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