Clinical Utility of the Child and Adolescent Memory Profile (ChAMP) After Pediatric Traumatic Brain Injury

Assessment ◽  
2020 ◽  
pp. 107319112097685
Author(s):  
Kate Wilson ◽  
Sofia Lesica ◽  
Jacobus Donders
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Children And Adolescents ◽  
Sensitivity And Specificity ◽  
Clinical Utility ◽  
Comprehensive Evaluation ◽  
Child And Adolescent ◽  
Healthy Controls ◽  
Pediatric Traumatic Brain Injury ◽  
Post Injury

Sixty-one children and adolescents with traumatic brain injury completed the Child and Adolescent Memory Profile (ChAMP; Sherman & Brooks, 2015) within 1 to 12 months post injury. Most of the ChAMP index scores demonstrated statistically significant negative correlations with time to follow commands following traumatic brain injury. Compared with demographically matched neurologically healthy controls, selected from the ChAMP standardization sample, participants with traumatic brain injury had statistically significantly lower scores on all ChAMP index scores but sensitivity and specificity were suboptimal. We conclude that the ChAMP has modest clinical utility as part of a more comprehensive evaluation of sequelae of traumatic brain injury in children and adolescents.

scholarly journals A-126 Clinical Utility of Risk Factors to Predict Self-reported Neurobehavioral Outcome Following Traumatic Brain Injury: PTSD, Sleep, Resilience, and Lifetime Blast Exposure

2020 ◽  
Vol 35 (6) ◽  
pp. 919-919
Author(s):  
Lange R ◽  
Lippa S ◽  
Hungerford L ◽  
Bailie J ◽  
French L ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Risk Factor ◽  
Brain Injury ◽  
Clinical Utility ◽  
Poor Sleep ◽  
Post Injury ◽  
Poor Outcome ◽  
Blast Exposure ◽  
Neurobehavioral Outcome

Abstract Objective To examine the clinical utility of PTSD, Sleep, Resilience, and Lifetime Blast Exposure as ‘Risk Factors’ for predicting poor neurobehavioral outcome following traumatic brain injury (TBI). Methods Participants were 993 service members/veterans evaluated following an uncomplicated mild TBI (MTBI), moderate–severe TBI (ModSevTBI), or injury without TBI (Injured Controls; IC); divided into three cohorts: (1) < 12 months post-injury, n = 237 [107 MTBI, 71 ModSevTBI, 59 IC]; (2) 3-years post-injury, n = 370 [162 MTBI, 80 ModSevTBI, 128 IC]; and (3) 10-years post-injury, n = 386 [182 MTBI, 85 ModSevTBI, 119 IC]. Participants completed a 2-hour neurobehavioral test battery. Odds Ratios (OR) were calculated to determine whether the ‘Risk Factors’ could predict ‘Poor Outcome’ in each cohort separately. Sixteen Risk Factors were examined using all possible combinations of the four risk factor variables. Poor Outcome was defined as three or more low scores (< 1SD) on five TBI-QOL scales (e.g., Fatigue, Depression). Results In all cohorts, the vast majority of risk factor combinations resulted in ORs that were ‘clinically meaningful’ (ORs > 3.00; range = 3.15 to 32.63, all p’s < .001). Risk factor combinations with the highest ORs in each cohort were PTSD (Cohort 1 & 2, ORs = 17.76 and 25.31), PTSD+Sleep (Cohort 1 & 2, ORs = 18.44 and 21.18), PTSD+Sleep+Resilience (Cohort 1, 2, & 3, ORs = 13.56, 14.04, and 20.08), Resilience (Cohort 3, OR = 32.63), and PTSD+Resilience (Cohort 3, OR = 24.74). Conclusions Singularly, or in combination, PTSD, Poor Sleep, and Low Resilience were strong predictors of poor outcome following TBI of all severities and injury without TBI. These variables may be valuable risk factors for targeted early interventions following injury.

scholarly journals A pilot study exploring pupil response measurement in mild traumatic brain injury

2015 ◽  
Vol 42 (S1) ◽  
pp. S40-S40
Author(s):  
W Ting ◽  
J Topolovec-Vranic ◽  
M McGowan ◽  
MD Cusimano
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Healthy Controls ◽  
Response Dynamics ◽  
Post Injury ◽  
Response Measurement ◽  
Pupil Response ◽  
Post Traumatic ◽  
Traumatic Symptoms

Background: Pupillometry, the measurement of pupil response dynamics via the pupillary light reflex, is seldom used in the assessment of mild traumatic brain injury (mTBI). We hypothesized that there would be quantifiable differences in detailed pupil response measurements in patients with acute and chronic mTBI. Methods: We conducted 49 bilateral pupillometry measurements, in acute mTBI patients at 1-week (N=11), 2-4w (N=9), and 3-7mo post-injury (N=3); 14 patients with persistent post-traumatic symptoms (PTS) once, and healthy controls across a first visit (N=7) and second visit 2-4w later (N=5). Results: The percentage of left pupil diameter change was significantly greater in the acute mTBI group at second visit (mean=36.3% (2.96)), compared to controls at second visit (mean=31.6% (4.39)) (F=5.87, p=0.0321). We did not identify significant differences between acute mTBI patients and controls at first visit, PTS patients versus controls, and within the acute mTBI group across three longitudinal visits. Conclusion: While these preliminary data suggest that pupillometry under these conditions does not distinguish between patients who had a recent mTBI or those with PTS and healthy controls, further research is warranted investigating pupil behavior and its clinical utility in mTBI.

scholarly journals 0014 Reduced Cortical Thickness as a Biomarker of Daytime Sleepiness in Mild Traumatic Brain Injury

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A5-A6
Author(s):  
N S Dailey ◽  
A C Raikes ◽  
A Alkozei ◽  
M A Grandner ◽  
W D Killgore
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Cortical Thickness ◽  
Daytime Sleepiness ◽  
Healthy Controls ◽  
Inferior Parietal Lobule ◽  
Post Injury ◽  
Attention Network ◽  
Parietal Lobule

Abstract Introduction Sleep disruptions, including the increase of daytime sleepiness, are reported in roughly 70% of all individuals who have suffered a mild traumatic brain injury (mTBI). Prior research using magnetic resonance imaging (MRI) has identified associations between functional brain changes and daytime sleepiness following mTBI. In the present study, we aimed to identify whether structural differences in cortical thickness are associated with increased daytime sleepiness in adults with mTBI. Methods A total of 58 adults between 18 and 45 years of age (M=23.58±5.31) participated in the study, including 19 healthy controls and 39 individuals with a documented mTBI. Individuals with mTBI were further divided based on time-since-injury into a sub-acute (n=22) or chronic (n=17) group. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS) and cortical thickness was measured using high-resolution T1-weighted structural MRI. Whole-brain vertex-wise estimations of cortical thickness were calculated using FreeSurfer (v.6.0) and entered into a GLM to identify between-group differences in cortical thickness and the association with ESS. Results Significant differences in cortical thickness were found between the two mTBI groups (cluster-forming threshold p<.01; cluster-wise threshold p<.05; two-tailed; FWE-corrected). Specifically, lower cortical thickness in the left hemisphere was found in the inferior parietal lobule (p=.01), precuneus (p=.03), and pars triangularis (p=.04) for the sub-acute, compared to chronic group. Furthermore, a significant negative correlation was found between ESS and cortical thickness in the inferior parietal lobule (r=-.55, p=.009) for the sub-acute mTBI group. Conclusion More daytime sleepiness was associated with reduced inferior parietal cortical thickness in those 2 to 12-weeks post-injury, an association not observed in those 6 to 12-months post-injury or healthy controls. The inferior parietal lobule is part of the frontoparietal attention network and has been associated with vulnerability to sleep loss. Our findings suggest structural damage to the attention network following mTBI may be one factor affecting daytime sleepiness in mTBI. These findings may reflect a potential biomarker of sleep disturbances in mTBI. Support USAMRMC grant (W81XWH-12–0386).

scholarly journals QuickBrain MRI for the detection of acute pediatric traumatic brain injury

2017 ◽  
Vol 19 (2) ◽  
pp. 259-264 ◽  
Author(s):  
David C. Sheridan ◽  
Craig D. Newgard ◽  
Nathan R. Selden ◽  
Mubeen A. Jafri ◽  
Matthew L. Hansen
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Sensitivity And Specificity ◽  
Imaging Modality ◽  
Brain Mri ◽  
Ct Imaging ◽  
Pediatric Traumatic Brain Injury ◽  
Mri Protocol ◽  
Level I ◽  
Mass Lesions

OBJECTIVE The current gold-standard imaging modality for pediatric traumatic brain injury (TBI) is CT, but it confers risks associated with ionizing radiation. QuickBrain MRI (qbMRI) is a rapid brain MRI protocol that has been studied in the setting of hydrocephalus, but its ability to detect traumatic injuries is unknown. METHODS The authors performed a retrospective cohort study of pediatric patients with TBI who were undergoing evaluation at a single Level I trauma center between February 2010 and December 2013. Patients who underwent CT imaging of the head and qbMRI during their acute hospitalization were included. Images were reviewed independently by 2 neuroradiology fellows blinded to patient identifiers. Image review consisted of identifying traumatic mass lesions and their intracranial compartment and the presence or absence of midline shift. CT imaging was used as the reference against which qbMRI was measured. RESULTS A total of 54 patients met the inclusion criteria; the median patient age was 3.24 years, 65% were male, and 74% were noted to have a Glasgow Coma Scale score of 14 or greater. The sensitivity and specificity of qbMRI to detect any lesion were 85% (95% CI 73%–93%) and 100% (95% CI 61%–100%), respectively; the sensitivity increased to 100% (95% CI 89%–100%) for clinically important TBIs as previously defined. The mean interval between CT and qbMRI was 27.5 hours, and approximately half of the images were obtained within 12 hours. CONCLUSIONS In this retrospective pilot study, qbMRI demonstrated reasonable sensitivity and specificity for detecting a lesion or injury seen with neuroimaging (radiographic TBI) and clinically important acute pediatric TBI.

Feedback learning and behavior problems after pediatric traumatic brain injury

2016 ◽  
Vol 46 (7) ◽  
pp. 1473-1484 ◽  
Author(s):  
M. Königs ◽  
L. W. E. van Heurn ◽  
R. J. Vermeulen ◽  
J. C. Goslings ◽  
J. S. K. Luitse ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Behavior Problems ◽  
Externalizing Problems ◽  
Parent Ratings ◽  
Pediatric Traumatic Brain Injury ◽  
Learning Context ◽  
Post Injury ◽  
Feedback Learning ◽  
Severe Tbi

BackgroundFeedback learning is essential for behavioral development. We investigated feedback learning in relation to behavior problems after pediatric traumatic brain injury (TBI).MethodChildren aged 6–13 years diagnosed with TBI (n= 112; 1.7 years post-injury) were compared with children with traumatic control (TC) injury (n= 52). TBI severity was defined as mild TBI without risk factors for complicated TBI (mildRF−TBI,n= 24), mild TBI with ⩾1 risk factor for complicated TBI (mildRF+TBI,n= 51) and moderate/severe TBI (n= 37). The Probabilistic Learning Test was used to measure feedback learning, assessing the effects of inconsistent feedback on learning and generalization of learning from the learning context to novel contexts. The relation between feedback learning and behavioral functioning rated by parents and teachers was explored.ResultsNo evidence was found for an effect of TBI on learning from inconsistent feedback, while the moderate/severe TBI group showed impaired generalization of learning from the learning context to novel contexts (p= 0.03,d= −0.51). Furthermore, the mildRF+TBI and moderate/severe TBI groups had higher parent and teacher ratings of internalizing problems (p's⩽ 0.04,d's ⩾ 0.47) than the TC group, while the moderate/severe TBI group also had higher parent ratings of externalizing problems (p= 0.006,d= 0.58). Importantly, poorer generalization of learning predicted higher parent ratings of externalizing problems in children with TBI (p= 0.03,β= −0.21) and had diagnostic utility for the identification of children with TBI and clinically significant externalizing behavior problems (area under the curve = 0.77,p= 0.001).ConclusionsModerate/severe pediatric TBI has a negative impact on generalization of learning, which may contribute to post-injury externalizing problems.

Using Nonstandardized Assessments to Evaluate Cognitive-Communication Abilities following Pediatric Traumatic Brain Injury

2020 ◽  
Vol 41 (02) ◽  
pp. 170-182
Author(s):  
Jennifer P. Lundine ◽  
Audrey Hall
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Children And Adolescents ◽  
Real World ◽  
School Environment ◽  
Unmet Needs ◽  
Pediatric Traumatic Brain Injury ◽  
Communication Challenges ◽  
Outcomes For Children ◽  
Assessment Procedures

AbstractThe subtle cognitive-communication challenges experienced by students with traumatic brain injury (TBI) are often missed, leaving these students with unmet needs in the school environment and increasing the likelihood for negative social, academic, and vocational outcomes. For children and adolescents with TBI, nonstandardized assessment offers several advantages over standardized assessment procedures, and may improve speech-language pathologists' ability to identify students who might benefit from intervention services. This article discusses curriculum-based assessment and discourse analysis specifically and uses case studies to demonstrate how these procedures can be used within the school environment. Nonstandardized assessment procedures are a valuable tool to measure a student's cognitive-communication abilities and the effects of intervention in real-world contexts.

Diffusion tensor imaging in moderate-to-severe pediatric traumatic brain injury: changes within an 18 month post-injury interval

2012 ◽  
Vol 6 (3) ◽  
pp. 404-416 ◽  
Author(s):  
Elisabeth A. Wilde ◽  
Kareem W. Ayoub ◽  
Erin D. Bigler ◽  
Zili D. Chu ◽  
Jill V. Hunter ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Diffusion Tensor Imaging ◽  
Brain Injury ◽  
Diffusion Tensor ◽  
Pediatric Traumatic Brain Injury ◽  
Post Injury

scholarly journals Free-living Turning Rather Than Gait Differentiates People with Chronic Mild Traumatic Brain Injury from Controls

2021 ◽  
Author(s):  
Dylan Powell ◽  
Alan Godfrey ◽  
Lucy Parrington ◽  
Kody R. Campbell ◽  
Laurie A. King ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Physical Function ◽  
Mild Traumatic Brain Injury ◽  
Healthy Controls ◽  
Post Injury ◽  
Free Living ◽  
Sensitive Measure ◽  
Gait Characteristics

Abstract Background: Physical function remains a crucial component of mild traumatic brain injury (mTBI) assessment and recovery. Traditional approaches to assess mTBI lack sensitivity to subtle deficits post-injury, which can impact quality of life, daily function and can lead to chronic issues. Inertial measurement units (IMU) provide an objective alternative for measuring physical function of gait and turning and can be used in any environment. Our recent work has found that turning quality is more sensitive than the quantity of physical activity when comparing chronic mTBI and healthy controls. However, no studies have compared the quality of free-living gait and turning characteristics concurrently in chronic mTBI and healthy controls. This study aimed to determine whether free-living gait or turning is more sensitive in differentiating chronic mTBI from controls.Methods: Thirty-two people with chronic self-reported balance symptoms after mTBI (age: 40.88 ± 11.78 years, median days post injury: 440.68 days) and 23 healthy controls (age: 48.56 ± 22.56 years) were assessed for ~7 days using a single IMU at the waist on a belt. Free-living gait and turning characteristics were evaluated for chronic mTBI and controls using multi-variate analysis. Receiver operating characteristics (ROC) and Area Under the Curve (AUC) analysis were used to determine outcome sensitivity to chronic mTBI.Results: Free-living gait characteristics were not different in chronic mTBI and controls (all p>0.05). In contrast, all but two (number of turns and average velocity CV) free-living turning characteristics were significantly different between chronic mTBI and controls, whilst controlling for age and sex (Bonferroni adjusted p<0.002). The chronic mTBI group had larger turn angles and longer turn durations compared to controls. ROC and AUC analysis showed turn duration (AUC = 0.92) was the most sensitive measure for differentiating chronic mTBI from controls. Conclusions: Results show that turning rather than gait characteristics were significantly different between chronic mTBI and controls, with turn duration being the most sensitive measure. These results suggest turning is a suitable surrogate biomarker to assess and monitor chronic mTBI.

Test–Retest Reliability of a Semi-Structured Interview to Aid in Pediatric Traumatic Brain Injury Diagnosis

2021 ◽  
pp. 1-13
Author(s):  
Danielle C. Hergert ◽  
Veronik Sicard ◽  
David D. Stephenson ◽  
Sharvani Pabbathi Reddy ◽  
Cidney R. Robertson-Benta ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Structured Interview ◽  
Self Report ◽  
Pediatric Traumatic Brain Injury ◽  
Post Injury ◽  
Retest Reliability ◽  
Test Retest Reliability ◽  
Medical Concepts

Abstract Objective: Retrospective self-report is typically used for diagnosing previous pediatric traumatic brain injury (TBI). A new semi-structured interview instrument (New Mexico Assessment of Pediatric TBI; NewMAP TBI) investigated test–retest reliability for TBI characteristics in both the TBI that qualified for study inclusion and for lifetime history of TBI. Method: One-hundred and eight-four mTBI (aged 8–18), 156 matched healthy controls (HC), and their parents completed the NewMAP TBI within 11 days (subacute; SA) and 4 months (early chronic; EC) of injury, with a subset returning at 1 year (late chronic; LC). Results: The test–retest reliability of common TBI characteristics [loss of consciousness (LOC), post-traumatic amnesia (PTA), retrograde amnesia, confusion/disorientation] and post-concussion symptoms (PCS) were examined across study visits. Aside from PTA, binary reporting (present/absent) for all TBI characteristics exhibited acceptable (≥0.60) test–retest reliability for both Qualifying and Remote TBIs across all three visits. In contrast, reliability for continuous data (exact duration) was generally unacceptable, with LOC and PCS meeting acceptable criteria at only half of the assessments. Transforming continuous self-report ratings into discrete categories based on injury severity resulted in acceptable reliability. Reliability was not strongly affected by the parent completing the NewMAP TBI. Conclusions: Categorical reporting of TBI characteristics in children and adolescents can aid clinicians in retrospectively obtaining reliable estimates of TBI severity up to a year post-injury. However, test–retest reliability is strongly impacted by the initial data distribution, selected statistical methods, and potentially by patient difficulty in distinguishing among conceptually similar medical concepts (i.e., PTA vs. confusion).

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