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Brain Injury, Children, Concussion, Recreational activities, Research, Symptoms, TBI, Trauma

Helmet use in preventing acute concussive symptoms in recreational vehicle related head trauma. Brain Injury, 2019

Helmet use in preventing acute concussive symptoms in recreational vehicle related head trauma

Marco Daverio, Franz E Babl, Ruth Barker, Dario Gregori, Liviana Da Dalt & Silvia Bressan

Pages 335-341, Brain Injury. Published online: 22 Jan 2018

https://doi.org/10.1080/02699052.2018.1426107

ABSTRACT
Objectives: Helmets use has proved effective in reducing head trauma (HT) severity in children riding non-motorised recreational vehicles. Scant data are available on their role in reducing concussive symptoms in children with HT while riding non-motorised recreational vehicles such as bicycles, push scooters and skateboards (BSS). We aimed to investigate whether helmet use is associated with a reduction in acute concussive symptoms in children with BSS-related-HT.

Methods: Prospective study of children <18 years who presented with a BSS related-HT between April 2011 and January 2014 at a tertiary Paediatric Emergency Department (ED).

Results: We included 190 patients. Median age 9.4 years (IQR 4.8–13.8). 66% were riding a bicycle, 23% a push scooter, and 11% a skateboard. 62% were wearing a helmet and 62% had at least one concussive symptom. Multivariate logistic regression analysis adjusting for age, gender, and type of vehicle showed that patients without a helmet presented more likely with headache (adjusted odds-ratio (aOR) 2.54, 95% CI 1.27–5.06), vomiting (aOR 2.16, 95% CI 1.00–4.66), abnormal behaviour (aOR 2.34, 95% CI 1.08–5.06), or the presence of at least one concussive symptom (aOR 2.39, 95% CI 1.20–4.80).

Conclusions: In children presenting to the ED following a wheeled BSS-related HT helmet use was associated with less acute concussive symptoms.

ABBREVIATIONS: aOR, adjusted odds ratio; APHIRST, Australasian Paediatric Head Injury Rules Study; BSS, bicycles, push scooters and skateboards; CI, confidence interval; CT, computed tomography; ED, emergency department; HT, head trauma; IQR, interquartile range; OR, odds ratio; RCH, Royal Children’s Hospital; RV, recreational vehicle.

 

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Brain Injury, MDD, Mood, mTBI, NPsychPick, PTSD, Research

Risk of Posttraumatic Stress Disorder and Major Depression in Civilian Patients After Mild Traumatic Brain Injury A TRACK-TBI Study. JAMA Psychiatry 2019

Risk of Posttraumatic Stress Disorder and Major Depression in Civilian Patients After Mild Traumatic Brain Injury A TRACK-TBI Study.

Stein, Sonia Jain, Giacino et al. JAMA Psychiatry. 2019; 76(3):249-258.

https://doi.org/10.1001/jamapsychiatry.2018.4288

Published online: January 30, 2019

Abstract

Importance  Traumatic brain injury (TBI) has been associated with adverse mental health outcomes, such as posttraumatic stress disorder (PTSD) and major depressive disorder (MDD), but little is known about factors that modify risk for these psychiatric sequelae, particularly in the civilian sector.

Objective  To ascertain prevalence of and risk factors for PTSD and MDD among patients evaluated in the emergency department for mild TBI (mTBI).

Design, Setting, and Participants  Prospective longitudinal cohort study (February 2014 to May 2018). Posttraumatic stress disorder and MDD symptoms were assessed using the PTSD Checklist for DSM-5 and the Patient Health Questionnaire-9 Item. Risk factors evaluated included preinjury and injury characteristics. Propensity score weights-adjusted multivariable logistic regression models were performed to assess associations with PTSD and MDD. A total of 1155 patients with mTBI (Glasgow Coma Scale score, 13-15) and 230 patients with nonhead orthopedic trauma injuries 17 years and older seen in 11 US hospitals with level 1 trauma centers were included in this study.

Main Outcomes and Measures  Probable PTSD (PTSD Checklist for DSM-5 score, ≥33) and MDD (Patient Health Questionnaire-9 Item score, ≥15) at 3, 6, and 12 months postinjury.

Results  Participants were 1155 patients (752 men [65.1%]; mean [SD] age, 40.5 [17.2] years) with mTBI and 230 patients (155 men [67.4%]; mean [SD] age, 40.4 [15.6] years) with nonhead orthopedic trauma injuries. Weights-adjusted prevalence of PTSD and/or MDD in the mTBI vs orthopedic trauma comparison groups at 3 months was 20.0% (SE, 1.4%) vs 8.7% (SE, 2.2%) (P < .001) and at 6 months was 21.2% (SE, 1.5%) vs 12.1% (SE, 3.2%) (P = .03). Risk factors for probable PTSD at 6 months after mTBI included less education (adjusted odds ratio, 0.89; 95% CI, 0.82-0.97 per year), being black (adjusted odds ratio, 5.11; 95% CI, 2.89-9.05), self-reported psychiatric history (adjusted odds ratio, 3.57; 95% CI, 2.09-6.09), and injury resulting from assault or other violence (adjusted odds ratio, 3.43; 95% CI, 1.56-7.54). Risk factors for probable MDD after mTBI were similar with the exception that cause of injury was not associated with increased risk.

Conclusions and Relevance  After mTBI, some individuals, on the basis of education, race/ethnicity, history of mental health problems, and cause of injury were at substantially increased risk of PTSD and/or MDD. These findings should influence recognition of at-risk individuals and inform efforts at surveillance, follow-up, and intervention.

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Concussion, Diagnosis, Mood, mTBI, Research, Sports, Symptoms

Sport-related Concussion Clinical Profiles: Clinical Characteristics, Targeted Treatments, and Preliminary Evidence. Curr Sports Med Rep 2019

Sport-related Concussion Clinical Profiles: Clinical Characteristics, Targeted Treatments, and Preliminary Evidence.

Kontos, Sufrinko, Sandel, Emami, Collins. Curr Sports Med Rep. 2019 Mar;18(3):82-92.

www.doi.org/10.1249/JSR.0000000000000573

Abstract

Sport-related concussion (SRC) is a heterogeneous injury that involves varied symptoms and impairment that presents a significant clinical challenge to sports medicine professionals.

In response to this challenge, clinical researchers have proposed clinical profiles or subtype models for assessing and treating athletes with SRC. One such model emphasizes five concussion clinical profiles including cognitive/fatigue, vestibular, ocular, migraine, and anxiety/mood. Sleep is a common modifier that co-occurs across these clinical profiles. A combination of medical history, risk factors, injury information, clinical characteristics, and assessment outcomes can inform each clinical profile.

Preliminary data involving 236 patients from a concussion specialty clinic indicate that the migraine (26%) and anxiety/mood (24%) profiles are the most common, with vestibular and ocular profiles combined representing more than one third (35%) of clinical profiles.

Findings also support several relationships among different clinical profiles including vestibular and migraine, suggesting that many athletes present with multiple clinical profiles. Targeted, active treatments for each profile are discussed.

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Brain Injury, Diagnosis, mTBI, Research

Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury. PLoS ONE, 2019

Lagerstedt L, Egea-Guerrero JJ, Bustamante A, Rodríguez-Rodríguez A, El Rahal A, Quintana-Diaz M, et al. (2018) Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury. PLoS ONE 13(7): e0200394.

https://doi.org/10.1371/journal.pone.0200394

Abstract:

Mild traumatic brain injury (mTBI) patients may have trauma-induced brain lesions detectable using CT scans. However, most patients will be CT-negative. There is thus a need for an additional tool to detect patients at risk. Single blood biomarkers, such as S100B and GFAP, have been widely studied in mTBI patients, but to date, none seems to perform well enough. In many different diseases, combining several biomarkers into panels has become increasingly interesting for diagnoses and to enhance classification performance.

The present study evaluated 13 proteins individually—H-FABP, MMP-1, MMP-3, MMP-9, VCAM, ICAM, SAA, CRP, GSTP, NKDA, PRDX1, DJ-1 and IL-10—for their capacity to differentiate between patients with and without a brain lesion according to CT results. The best performing proteins were then compared and combined with the S100B and GFAP proteins into a CT-scan triage panel. Patients diagnosed with mTBI, with a Glasgow Coma Scale score of 15 and one additional clinical symptom were enrolled at three different European sites. A blood sample was collected at hospital admission, and a CT scan was performed. Patients were divided into two two-centre cohorts and further dichotomised into CT-positive and CT-negative groups for statistical analysis. Single markers and panels were evaluated using Cohort 1.

Four proteins—H-FABP, IL-10, S100B and GFAP—showed significantly higher levels in CT-positive patients. The best-performing biomarker was H-FABP, with a specificity of 32% (95% CI 23–40) and sensitivity reaching 100%. The best-performing two-marker panel for Cohort 1, subsequently validated in Cohort 2, was a combination of H-FABP and GFAP, enhancing specificity to 46% (95% CI 36–55). When adding IL-10 to this panel, specificity reached 52% (95% CI 43–61) with 100% sensitivity.

These results showed that proteins combined into panels could be used to efficiently classify CT-positive and CT-negative mTBI patients.

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eTechnologies, eTherapies, Research

Neuroscience of Virtual Reality: From Virtual Exposure to Embodied Medicine. Cyberpsychol Behav Soc Netw, 2019

Neuroscience of Virtual Reality: From Virtual Exposure to Embodied Medicine.

Giuseppe Riva, Brenda K. Wiederhold, and Fabrizia Mantovani. Cyberpsychology, Behavior, and Social Networking, Vol. 22, No. 1 Closing Editorial. Published Online:16 Jan 2019

https://doi.org/10.1089/cyber.2017.29099.gri

Abstract

Is virtual reality (VR) already a reality in behavioral health? To answer this question, a meta-review was conducted to assess the meta-analyses and systematic and narrative reviews published in this field in the last twenty-two months. Twenty-five different articles demonstrated the clinical potential of this technology in both the diagnosis and the treatment of mental health disorders: VR compares favorably to existing treatments in anxiety disorders, eating and weight disorders, and pain management, with long-term effects that generalize to the real world. But why is VR so effective?

Here, the following answer is suggested: VR shares with the brain the same basic mechanism: embodied simulations. According to neuroscience, to regulate and control the body in the world effectively, the brain creates an embodied simulation of the body in the world used to represent and predict actions, concepts, and emotions. VR works in a similar way: the VR experience tries to predict the sensory consequences of an individual’s movements, providing to him/her the same scene he/she will see in the real world.

To achieve this, the VR system, like the brain, maintains a model (simulation) of the body and the space around it. If the presence in the body is the outcome of different embodied simulations, concepts are embodied simulations, and VR is an embodied technology, this suggests a new clinical approach discussed in this article: the possibility of altering the experience of the body and facilitating cognitive modeling/change by designing targeted virtual environments able to simulate both the external and the internal world/body.

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App, Attention, Brain training, Research

Improvements in Attention Following Cognitive Training With the Novel “Decoder” Game on an iPad. Front. Behav. Neurosci., 2019.

Improvements in Attention Following Cognitive Training With the Novel “Decoder” Game on an iPad.

George Savulich, Emily Thorp, Thomas Piercy, Katie A. Peterson, John D. Pickard, and Barbara J. Sahakian. Front. Behav. Neurosci., 21 January 2019.

https://doi.org/10.3389/fnbeh.2019.00002

Abstract:

Work and study increasingly rely on the use of technologies requiring individuals to switch attention rapidly between emails, texts and tasks. This has led to healthy people having problems of attention and concentration and difficulties getting into the “flow,” which impedes goal attainment and task completion. Possibly related to this, there is an increasing diagnosis of attention deficit hyperactivity disorder (ADHD) and prescriptions of drugs such as methylphenidate. In addition to ADHD, attention is impaired in other neuropsychiatric disorders, such as schizophrenia and in traumatic brain injury (TBI).

Based on neuropsychological and neuroimaging evidence, we developed “Decoder,” a novel game for targeted cognitive training of visual sustained attention on an iPad. We aimed to investigate the effects of cognitive training in 75 healthy young adults randomly assigned to a Cognitive Training (8 h of playing Decoder over 4 weeks; n = 25), Active Control (8 h of playing Bingo over 4 weeks; n = 25) or Passive Control (continuation of activities of daily living; n = 25) group.

Results indicated that cognitive training with Decoder was superior to both control groups in terms of increased target sensitivity (A’) on the Cambridge Neuropsychological Test Automated Battery Rapid Visual Information processing (CANTAB RVP) test, indicating significantly improved sustained visual attention. Individuals playing Decoder also showed significantly better performance on the Trail Making Test (TMT) compared with those playing Bingo. Significant differences in visual analogue scales were also found between the two gaming groups, such that Decoder received higher ratings of enjoyment, task-related motivation and alertness across all hours of game play.

These data suggest that cognitive training with Decoder is an effective non-pharmacological method for enhancing attention in healthy young adults, which could be extended to clinical populations in which attentional problems persist.

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Brain Injury, Criminality, Research

Traumatic Brain Injury and the Risk for Subsequent Crime Perpetration. Bonow, Wang, et al. J Head Trauma Rehabil 2019

Traumatic Brain Injury and the Risk for Subsequent Crime Perpetration

Bonow, Robert H; Wang, Jin, et al. The Journal of Head Trauma Rehabilitation: January/February 2019 – Volume 34 – Issue 1 – p E61–E69

http://doi.org/10.1097/HTR.0000000000000413

Abstract

Objective:

To examine whether patients with traumatic brain injury (TBI) are at higher risk for subsequent crime perpetration compared with injured patients without TBI and those hospitalized for reasons other than injury.

Setting and Participants:

Patients hospitalized in Washington State from 2006-2007.

Design:

A retrospective cohort study using linked statewide datasets.

Main measures:

Primary outcomes were arrest for any violent or nonviolent crime within 5 years of discharge. Adjusted subhazard ratios were calculated using regression models incorporating death as a competing risk.

Results:

Compared with uninjured patients (n = 158 247), the adjusted rate of arrest for any crime was greater among injured patients with TBI (n = 6894; subdistribution hazard ratios [sHR], 1.57; 95% confidence interval [CI], 1.49-1.62) and without TBI (n = 40 035; sHR, 1.55; 95% CI, 1.49-1.62). When patients with TBI were directly compared with injured patients without TBI, no effect of TBI on subsequent arrests was found (sHR, 1.02; 95% CI, 0.94-1.11). TBI did not increase the likelihood of either violent or nonviolent crime when these outcomes were examined separately.

Conclusions:

TBI survivors do not appear to be at increased risk for criminality compared with injured individuals without TBI. However, injured persons with or without TBI may be at elevated risk of crime perpetration compared with those who are uninjured.

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Apps E-Tech, Health, Research

Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset. J Med Internet Res 2018

Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset

Amit Baumel, John M Kane. Journal of Medical Internet Research, Vol 20, No 12 (2018): December

doi:10.2196/11491

 

ABSTRACT

Background: The literature suggests that the product design of self-guided electronic health (eHealth) interventions impacts user engagement. Traditional trial settings, however, do not enable the examination of these relationships in real-world use.

 

Objective: This study aimed to examine whether the qualities of product design, research evidence, and publicly available data predict real-world user engagement with mobile and Web-based self-guided eHealth interventions.

 

Methods: This analysis included self-guided mobile and Web-based eHealth interventions available to the public—with their qualities assessed using the Enlight suite of scales. Scales included Usability, Visual Design, User Engagement, Content, Therapeutic Persuasiveness, Therapeutic Alliance, Credibility, and Research Evidence. Behavioral data on real-world usage were obtained from a panel that provides aggregated nonpersonal information on user engagement with websites and mobile apps, based on a time window of 18 months that was set between November 1, 2016 and April 30, 2018. Real-world user engagement variables included average usage time (for both mobile apps and websites) and mobile app user retention 30 days after download.

 

Results: The analysis included 52 mobile apps (downloads median 38,600; interquartile range [IQR] 116,000) and 32 websites (monthly unique visitors median 5689; IQR 30,038). Results point to moderate correlations between Therapeutic Persuasiveness, Therapeutic Alliance, and the 3 user engagement variables (.31≤rs≤.51; Ps≤.03). Visual Design, User Engagement, and Content demonstrated similar degrees of correlation with mobile app engagement variables (.25≤rs≤.49; Ps≤.04) but not with average usage time of Web-based interventions. Positive correlations were also found between the number of reviews on Google Play and average app usage time (r=.58; P<.001) and user retention after 30 days (r=.23; P=.049). Although several product quality ratings were positively correlated with research evidence, the latter was not significantly correlated with real-world user engagement. Hierarchical stepwise regression analysis revealed that either Therapeutic Persuasiveness or Therapeutic Alliance explained 15% to 26% of user engagement variance. Data on Google Play (number of reviews) explained 15% of the variance of mobile app usage time above Enlight ratings; however, publicly available data did not significantly contribute to explaining the variance of the other 2 user-engagement variables.

 

Conclusions: Results indicate that the qualities of product design predict real-world user engagement with eHealth interventions. The use of real-world behavioral datasets is a novel way to learn about user behaviors, creating new avenues for eHealth intervention research.

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Brain Injury, Health, Quality of Life, Research

The Association between Post-Concussion Symptoms and Health-Related Quality of Life in Patients with Mild Traumatic Brain Injury. Injury, 2018

The association between post-concussion symptoms and health-related quality of life in patients with mild traumatic brain injury

Daphne C.Voormolena, Suzanne Polindera, Nicole von Steinbuechel, Pieter E.Vosc, Maryse C.Cnossena, Juanita A.Haagsmaad. Injury. Available online 7 December 2018

https://doi.org/10.1016/j.injury.2018.12.002

A subset of mild traumatic brain injury (mTBI) patients experience post-concussion symptoms. When a cluster of post-concussion symptoms persists for over three months, it is referred to as post-concussion syndrome (PCS). Little is known about the association between PCS and Health-Related Quality of Life (HRQoL) after mTBI. The aims of this study were to assess the implications of PCS on HRQoL six months after mTBI and the relationship between PCS and HRQoL domains. A prospective observational cohort study was conducted among a sample of mTBI patients. Follow-up postal questionnaires at six months after emergency department (ED) admission included socio-demographic information, the Rivermead Post-Concussion Symptoms Questionnaire (RPQ), and HRQoL measured with the 36-item Short-Form Health Survey (SF-36) and the Perceived Quality of Life Scale (PQoL). In total, 731 mTBI patients were included, of whom 38.7% were classified as suffering from PCS. Patients with PCS had significantly lower scores on all SF-36 domains, lower physical and mental component summary scores and lower mean PQoL scores compared to patients without PCS. All items of the RPQ were negatively correlated to all SF-36 domains and PQoL subscale scores, indicating that reporting problems on any of the RPQ symptoms was associated with a decrease on different aspects of an individuals’ HRQoL. To conclude, PCS is common following mTBI and patients with PCS have a considerably lower HRQoL. A better understanding of the relationship between PCS and HRQoL and possible mediating factors in this relationship could improve intervention strategies, the recovery process for mTBI patients and benchmarking.

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Apps E-Tech, Health, Research, Review

Efficacy of Interventions that Use Apps to Improve Diet, Physical Activity and Sedentary Behaviour: A Systematic Review. IJBNPA, 2016

Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review.

Stephanie SchoeppeEmail author, Stephanie Alley, Wendy Van Lippevelde, Nicola A. Bray, Susan L. Williams, Mitch J. Duncan and Corneel Vandelanotte

International Journal of Behavioral Nutrition and Physical Activity. Published: 7 December 2016

 

Background

Health and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but their efficacy is unclear. This systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults.

Methods

Systematic literature searches were conducted in five databases to identify papers published between 2006 and 2016. Studies were included if they used a smartphone app in an intervention to improve diet, physical activity and/or sedentary behaviour for prevention. Interventions could be stand-alone interventions using an app only, or multi-component interventions including an app as one of several intervention components. Outcomes measured were changes in the health behaviours and related health outcomes (i.e., fitness, body weight, blood pressure, glucose, cholesterol, quality of life). Study inclusion and methodological quality were independently assessed by two reviewers.

Results

Twenty-seven studies were included, most were randomised controlled trials (n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes.

Conclusions

This review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than stand-alone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy.

https://doi.org/10.1186/s12966-016-0454-y

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