Clinical Elements that Predict Outcome after Traumatic Brain Injury: A Prospective Multicenter Recursive Partitioning (Decision-Tree) Analysis

Considering the Importance of Personal and Injury Factors Influencing Outcome After Traumatic Brain Injury

OBJECTIVE

Given the high variability in traumatic brain injury (TBI) outcomes and relative lack of examination of the influence of noninjury factors on outcome, this study aimed to examine factors associated with functional outcome at 1 and 2 years after moderate to severe TBI, including both preinjury and injury-related factors.

DESIGN

Observational cohort study.

SETTING

Inpatient hospital recruitment with outpatient follow-up at 1 and 2 years post injury.

PARTICIPANTS

Individuals with moderate to severe TBI were recruited prospectively into a Longitudinal Head Injury Outcome Study. Of the eligible 3253 individuals who were eligible, 1899 participants consented to the study (N=1899).

MAIN OUTCOME MEASURE

Functional outcome was measured using the Glasgow Outcome Scale-Extended (GOS-E).

RESULTS

1476 participants (73.6% males) and 1365 participants (73% males) completed the GOS-E at 1 and 2 years post injury. They had a mean age at injury of 40 years and mean duration of post-traumatic amnesia (PTA) of 26 days. Good recovery, representing return to previous activities on the GOS-E (score 7-8), was present in 31% of participants at 1 year post injury and 33.5% at 2 years post injury. When predictor variables were entered into regression together, good outcome was significantly associated with not being from a culturally and linguistically diverse background and not having preinjury mental health or alcohol treatment, shorter PTA duration, and absence of limb injuries at both 1 and 2 years; higher education was also a significant predictor at 1 year post injury.

CONCLUSIONS

Alongside consideration of injury severity, understanding and addressing preinjury factors is important to maximize outcomes.

The Australian Traumatic Brain Injury Initiative: Systematic Review of Clinical Factors Associated with Outcomes in People with Moderate-Severe Traumatic Brain Injury

The aim of the Australian Traumatic Brain Injury Initiative (AUS-TBI) is to design a data dictionary to inform data collection and facilitate prediction of outcomes for moderate-severe traumatic brain injury (TBI) across Australia. The process has engaged diverse stakeholders across six areas: social, health, clinical, biological, acute interventions, and long-term outcomes. Here, we report the results of the clinical review. Standardized searches were implemented across databases to April 2022. English-language reports of studies evaluating an association between a clinical factor and any clinical outcome in at least 100 patients with moderate-severe TBI were included. Abstracts, and full-text records, were independently screened by at least two reviewers in Covidence. The findings were assessed through a consensus process to determine inclusion in the AUS-TBI data resource. The searches retrieved 22,441 records, of which 1137 were screened at full text and 313 papers were included. The clinical outcomes identified were predominantly measures of survival and disability. The clinical predictors most frequently associated with these outcomes were the Glasgow Coma Scale, pupil reactivity, and blood pressure measures. Following discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous studies evaluating associations between clinical factors and outcomes in patients with moderate-severe TBI. A small number of factors were reported consistently, however, how and when these factors were assessed varied. The findings of this review and the subsequent consensus process have informed the development of an evidence-informed data dictionary for moderate-severe TBI in Australia.

Age Suppresses the Association Between Traumatic Brain Injury Severity and Functional Outcomes: A Study Using the NIDILRR TBIMS Dataset

OBJECTIVES

Recovery from traumatic brain injury (TBI) is extremely difficult to predict, with TBI severity usually demonstrating weak predictive validity for functional or other outcomes. A possible explanation may lie in the statistical phenomenon called suppression, according to which a third variable masks the true association between predictor and outcome, making it appear weaker than it actually is. Age at injury is a strong candidate as a suppressor because of its well-established main and moderating effects on TBI outcomes. We tested age at injury as a possible suppressor in the predictive chain of effects between TBI severity and functional disability, up to 10 years post-TBI.

SETTING

Follow-up interviews were conducted during telephone interviews.

PARTICIPANTS

We used data from the 2020 NDILRR Model Systems National Dataset for 4 successive follow-up interviews: year 1 (n = 10,734), year 2 (n = 9174), year 5 (n = 6,201), and year 10 (n = 3027).

DESIGN

Successive cross-sectional multiple regression analyses.

MAIN MEASURES

Injury severity was operationalized using a categorical variable representing duration of posttrauma amnesia. The Glasgow Outcomes Scale-Extended (GOS-E) operationally defined functioning. Sociodemographic characteristics having significant bivariate correlations with GOS-E were included.

RESULTS

Entry of age at injury into the regression models significantly increases the association between TBI severity and functioning up to 10 years post-TBI.

CONCLUSIONS

Age at injury is a suppressor variable, masking the true effect of injury severity on functional outcomes. Identifying the mediators of this suppression effect is an important direction for TBI rehabilitation research.

The Australian Traumatic Brain Injury Initiative: Systematic Review and Consensus Process to Determine the Predictive Value of Demographic, Injury Event, and Social Characteristics on Outcomes for People With Moderate-Severe Traumatic Brain Injury

The objective of the Australian Traumatic Brain Injury (AUS-TBI) Initiative is to develop a data dictionary to inform data collection and facilitate prediction of outcomes of people who experience moderate-severe TBI in Australia. The aim of this systematic review was to summarize the evidence of the association between demographic, injury event, and social characteristics with outcomes, in people with moderate-severe TBI, to identify potentially predictive indicators. Standardized searches were implemented across bibliographic databases to March 31, 2022. English-language reports, excluding case series, which evaluated the association between demographic, injury event, and social characteristics, and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Abstracts and full text records were independently screened by at least two reviewers in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association. The review findings were discussed with an expert panel to determine the feasibility of incorporation of routine measurement into standard care. The search strategy retrieved 16,685 records; 867 full-length records were screened, and 111 studies included. Twenty-two predictors of 32 different outcomes were identified; 7 were classified as high-level (age, sex, ethnicity, employment, insurance, education, and living situation at the time of injury). After discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous predictors capable of enabling early identification of those at risk for poor outcomes and improved personalization of care through inclusion in routine data collection.

The Temporal Relationship Between Moderate to Vigorous Physical Activity and Secondary Conditions During the First Year After Moderate to Severe Traumatic Brain Injury

OBJECTIVE

To determine the cross-sectional and temporal relationships between minutes per week of moderate to vigorous physical activity (MVPA) as measured by a wrist-worn accelerometer and secondary conditions in the first year after moderate to severe traumatic brain injury (TBI).

DESIGN

Prospective longitudinal cohort study.

SETTING

Four inpatient rehabilitation centers.

PARTICIPANTS

Individuals (N = 180) with moderate-severe TBI enrolled in the TBI Model Systems Study.

INTERVENTIONS

Participants wore a wrist accelerometer for 7 days immediately post discharge, and for 7 consecutive days at 6- and 12-months post injury.

MAIN OUTCOME MEASURES

Minutes per week of MVPA from daily averages based on wrist worn accelerometer. Secondary conditions included depression (Patient Health Questionnaire-9), fatigue (PROMIS Fatigue), Pain (Numeric Rating Scale), Sleep (Pittsburgh Sleep Quality Index), and cognition (Brief Test of Adult Cognition by Telephone).

RESULTS

At baseline, 6 and 12 months, 61%, 70% and 79% of the sample achieved at least 150 minutes per week of MVPA. The correlations between minutes of MVPA between baseline, 6 and 12 months were significant (r = 0.53-0.73), as were secondary conditions over these time points. However, no significant correlations were observed between minutes of MVPA and any secondary outcomes cross-sectionally or longitudinally at any time point.

CONCLUSIONS

Given the robust relationships physical activity has with outcomes in the general population, further research is needed to understand the effect of physical activity in individuals with moderate-severe TBI.

Predictors of outcomes 3 to 12 months after traumatic brain injury: a systematic review and meta-analysis

The exact factors predicting outcomes following traumatic brain injury (TBI) remain elusive. In this systematic review and meta-analysis, we examined factors influencing outcomes in adult patients with TBI, from 3 months to 1 year after injury. A search of four electronic databases-PubMed, Scopus, Web of Science, and ScienceDirect-yielded 29 studies for review and 16 for meta-analysis, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. In patients with TBI of any severity, mean differences were observed in age (8.72 years; 95% confidence interval [CI], 4.77-12.66 years), lymphocyte count (-0.15 109/L; 95% CI, -0.18 to -0.11), glucose levels (1.20 mmol/L; 95% CI, 0.73-1.68), and haemoglobin levels (-0.91 g/dL; 95% CI, -1.49 to -0.33) between those with favourable and unfavourable outcomes. The prevalence rates of unfavourable outcomes were as follows: abnormal cisterns, 65.7%; intracranial pressure above 20 mmHg, 52.9%; midline shift of 5 mm or more, 63%; hypotension, 71%; hypoxia, 86.8%; blood transfusion, 70.3%; and mechanical ventilation, 90%. Several predictors were strongly associated with outcome. Specifically, age, lymphocyte count, glucose level, haemoglobin level, severity of TBI, pupillary reaction, and type of injury were identified as potential predictors of long-term outcomes.

Fluid-Based Protein Biomarkers in Traumatic Brain Injury: The View from the Bedside

There has been an explosion of research into biofluid (blood, cerebrospinal fluid, CSF)-based protein biomarkers in traumatic brain injury (TBI) over the past decade. The availability of very large datasets, such as CENTRE-TBI and TRACK-TBI, allows for correlation of blood- and CSF-based molecular (protein), radiological (structural) and clinical (physiological) marker data to adverse clinical outcomes. The quality of a given biomarker has often been framed in relation to the predictive power on the outcome quantified from the area under the Receiver Operating Characteristic (ROC) curve. However, this does not in itself provide clinical utility but reflects a statistical association in any given population between one or more variables and clinical outcome. It is not currently established how to incorporate and integrate biofluid-based biomarker data into patient management because there is no standardized role for such data in clinical decision making. We review the current status of biomarker research and discuss how we can integrate existing markers into current clinical practice and what additional biomarkers do we need to improve diagnoses and to guide therapy and to assess treatment efficacy. Furthermore, we argue for employing machine learning (ML) capabilities to integrate the protein biomarker data with other established, routinely used clinical diagnostic tools, to provide the clinician with actionable information to guide medical intervention.

Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study

This work aimed to identify pre-existing health conditions of patients with traumatic brain injury (TBI) and develop predictive models for the first TBI event and its external causes by employing a combination of unsupervised and supervised learning algorithms. We acquired up to five years of pre-injury diagnoses for 488,107 patients with TBI and 488,107 matched control patients who entered the emergency department or acute care hospitals between April 1st, 2002, and March 31st, 2020. Diagnoses were obtained from the Ontario Health Insurance Plan (OHIP) database which contains province-wide claims data by physicians in Ontario, Canada for inpatient and outpatient services. A screening process was conducted on the OHIP diagnostic codes to limit the subsequent analysis to codes that were predictive of TBI, which concluded that 314 codes were significantly associated with TBI. The Latent Dirichlet Allocation (LDA) model was applied to the diagnostic codes and generated an optimal number of 19 topics that concur with published literature but also suggest other unexplored areas. Estimated word-topic probabilities from the LDA model helped us detect pre-morbid conditions among patients with TBI by uncovering the underlying patterns of diagnoses, meanwhile estimated document-topic probabilities were utilized in variable creation as form of a dimension reduction. We created 19 topic scores for each patient in the cohort which were utilized along with socio-demographic factors for Random Forest binary classifier models. Test set performances evaluated using area under the receiver operating characteristic curve (AUC) were: TBI event (AUC = 0.85), external cause of injury: falls (AUC = 0.85), struck by/against (AUC = 0.83), cyclist collision (AUC = 0.76), motor vehicle collision (AUC = 0.83). Our analysis successfully demonstrated the feasibility of using machine learning to predict TBI due to various external causes and identified the most important factors that contribute to this prediction.

Prolonged duration of post-traumatic amnesia: A sensitive classification for predicting cognitive outcomes in children recovering from traumatic brain injury

OBJECTIVE

A paucity of data exists regarding the duration of post-traumatic amnesia (PTA) as a predictor of cognitive functioning among children after traumatic brain injury (TBI). The study aimed to assess the relationship between PTA duration and areas of neurocognitive function among the pediatric population in the sub-acute phase of recovery and rehabilitation.

METHODS

Data were collected from medical files on 103 children aged 5.5-16.5 hospitalized at a pediatric rehabilitation department with a diagnosis of moderate-severe TBI (msTBI) between the years 2004-2019. The Children Orientation and Amnesia Test was used to evaluate PTA duration. Measures of high-order cognitive abilities of attention and executive function were collected using the Test of Everyday Attention-Child version (TEA-Ch).

RESULTS

Three PTA duration groups were assembled out of a cluster analysis: "Long PTA" (M = 21 days), "Very Long PTA" (M = 47 days), and "Extremely Long PTA" (M = 94 days). Analyses revealed that the "Long PTA" group preformed significantly better than the "Very Long PTA" and "Extremely Long PTA" groups on all TEA-Ch measures, that is, Selective Attention, Attentional Control Switching, and Sustained Attention.

CONCLUSIONS

This study is the first to demonstrate that PTA duration is a useful predictor of high-order cognitive functions among children with msTBI in the sub-acute phase of recovery and rehabilitation. The findings emphasize the importance of using a more sensitive classification of prolonged PTA durations to improve outcome prediction and allocation of resources to those who can benefit most after severe brain injuries.

Cognitive Performance, Depression, and Anxiety 1 Year After Traumatic Brain Injury

OBJECTIVES

To evaluate associations between depression, anxiety, and cognitive impairment among individuals with complicated mild to severe traumatic brain injury (TBI) 1 year after injury.

SETTING

Multiple inpatient rehabilitation units across the United States.

PARTICIPANTS

A total of 498 adults 16 years and older who completed inpatient rehabilitation for complicated mild to severe TBI.

DESIGN

Secondary analysis of a prospective, multicenter, cross-sectional observational cohort study.

MAIN MEASURES

Assessments of depression (Traumatic Brain Injury Quality of Life [TBI-QOL] Depression) and anxiety (TBI-QOL Anxiety) as well as a telephone-based brief screening measure of cognitive functioning (Brief Test of Adult Cognition by Telephone [BTACT]).

RESULTS

We found an inverse relationship between self-reported depression symptoms and the BTACT Composite score (β = -0.18, P < .01) and anxiety symptoms and the BTACT Composite score (β = -0.20, P < .01). There was no evidence this relationship varied by injury severity. Exploratory analyses showed depression and anxiety were negatively correlated with both BTACT Executive Function factor score and BTACT Memory factor score.

CONCLUSIONS

Both depression and anxiety have a small but significant negative association with cognitive performance in the context of complicated mild to severe TBI. These findings highlight the importance of considering depression and anxiety when interpreting TBI-related neuropsychological impairments, even among more severe TBI.

Predictive validity of the Westmead Post-Traumatic Amnesia Scale for functional outcomes in school-aged children who sustained traumatic brain injury

The Westmead Post-Traumatic Amnesia Scale (WPTAS) is routinely used for the assessment of post-traumatic amnesia (PTA) in children who sustained traumatic brain injury (TBI). Yet, the WPTAS' predictive validity for functional outcomes is largely unknown. We aimed to determine whether PTA duration measured by the WPTAS (i) differentially predicts functional outcomes and (ii) contributes to predictions of outcomes beyond the Glasgow Coma Scale (GCS) in children who sustained TBI. Participants were children and adolescents with moderate-to-severe TBI (n = 55) aged 8-15 years. PTA duration was assessed with the WPTAS. Outcomes at the first outpatient follow-up were scored on the Kings Outcome Scale for Childhood Head Injury (KOSCHI) and the TBI Outcome Domain Scale-Extended (ODS-E). Longer PTA and lower GCS were both significantly correlated with worse (i) global outcomes: presence of disability on the KOSCHI and lower score on the ODS-E and (ii) select specific outcomes on the ODS-E: mobility, mood and cognition. PTA duration predicted cognitive outcome on the ODS-E independently, beyond GCS. Together, PTA duration and GCS, predicted the global KOSCHI outcome, as well as the ODS-E mobility and mood outcomes. Neither GCS nor PTA duration correlated with the ODS-E communication, impulsivity/disinhibition, headache, fatigue, sensory impairments or somatic complaints outcomes. PTA duration measured by the WPTAS is a significant unique predictor of functional cognitive outcomes in children who sustained moderate-to-severe TBI, and in combination with the GCS, a significant predictor of global, and several specific functional outcomes.

Time from injury and age interact in relationship with perceived quality of life outcomes following vocation-focused neuropsychological rehabilitation

At the group level, community-based neuropsychological rehabilitation interventions with a vocational focus are generally effective among individuals with brain injuries. However, individual participants vary significantly in the extent of their improvement, prompting attempts to elucidate individual, injury-related, and environmental factors affecting prognosis. In this study, we examined the relationships between one such factor - "time from injury" (the time between injury and intervention) - and two outcome measures: employment status and perceived quality of life (PQoL), in 157 brain injury survivors, before and after a holistic neuropsychological vocational rehabilitation program. We also examined whether relationships between the variables were moderated by age at onset of treatment and injury severity. In the entire sample, both the proportion of employed participants and average PQoL increased following program participation. Neither, time from injury, severity, nor age at onset of treatment predicted the increase in employment proportion, and severity was not a significant predictor of PQoL. However, an interactive effect indicated that when treatment was started at a younger age, longer time from injury predicted higher levels of PQoL, but when treatment was started at older ages, longer time from injury predicted lower levels of PQoL. When interpreted alongside existing literature, these results suggest that delaying vocational components of rehabilitation can be beneficial for younger participants, while the effectiveness of vocational rehabilitation can be maximized by starting as early as possible among older participants. Most importantly, regardless of age, it appears that vocational rehabilitation can be effective even when initiated many years after injury.

Characterizing Profiles of TBI Severity: Predictors of Functional Outcomes and Well-Being

OBJECTIVE

To identify profiles of acute traumatic brain injury (TBI) severity and relate profiles to functional and well-being outcomes.

SETTING

Acute inpatient rehabilitation and general community settings.

PARTICIPANTS

Three hundred and seventy-nine individuals with moderate-severe TBI participating in the Traumatic Brain Injury Model Systems.

DESIGN

Longitudinal observational study.

MAIN MEASURES

At discharge-length of stay, Functional Independence Measure (FIM), and Disability Rating Scale (DRS). One-year post-injury-Glasgow Outcome Scale-Extended (GOS-E), FIM, and Satisfaction with Life Scale (SWLS).

RESULTS

Latent profile analysis (LPA) was used to identify subgroups with similar patterns across 12 indicators of acute injury severity, including duration of posttraumatic amnesia, Glasgow Coma Scale, time to follow commands, and head CT variables. LPA identified 4 latent classes, least to most severe TBI (Class 1: n = 75, 20.3%; Class 2: n = 124, 33.5%; Class 3: n = 144, 38.9%; Class 4: n = 27, 7.3%); younger age, lower education, rural residence, injury in motor vehicle accidents, and earlier injury years were associated with worse acute severity. Latent classes were related to outcomes. Compared with Class 1, hospital stays were longer, FIM scores lower, and DRS scores larger at discharge among individuals in Class 3 and Class 4 (all P s < .01). One-year post-injury, GOS-E and FIM scores were significantly lower among individuals in Class 3 and Class 4 than those in Class 1 ( P s < .01). SWLS scores were lower only among individuals in Class 3 ( P = .036) compared with Class 1; other comparisons relative to Class 1 were not significant.

CONCLUSIONS

Meaningful profiles of TBI severity can be identified from acute injury characteristics and may suggest etiologies, like injury in motor vehicle accidents, and premorbid characteristics, including younger age, rural residence, and lower education, that heighten risk for worse injuries. Improving classification may help focus on those at elevated risk for severe injury and inform clinical management and prognosis.

"It's been a long hard road": challenges faced in the first three years following traumatic brain injury

PURPOSE

There is limited qualitative research exploring challenges experienced following severe traumatic brain injury (TBI). We investigated challenges to recovery identified by individuals who sustained severe TBI three years earlier or their close others (COs), as well as suggestions for managing these challenges.

MATERIALS AND METHODS

Nine participants with TBI and 16 COs completed semi-structured interviews. Using reflexive thematic analysis, challenges were identified across several timeframes (i.e., at the injury, acute care, inpatient rehabilitation, outpatient rehabilitation, and at home/other location).

RESULTS

Challenges experienced across all timeframes included: lack of information and poor communication, pre-existing conditions, missed injuries, and issues with medical staff, and continuity of care. From acute care onwards, there were TBI-related consequences, issues with coping and emotional adjustment, negative outlook, insufficient treatment, lack of support for COs, and issues with compensation and funding for rehabilitation needs. Some challenges were unique to a specific timeframe (e.g., over-stimulating ward setting during acute care, and limited or unsupportive families once injured individuals went home). Suggestions for managing some of the challenges were provided (e.g., information provision, having peer supports).

CONCLUSION

Suggestions should be considered to promote successful outcomes following severe TBI.IMPLICATIONS FOR REHABILITATIONRecovery following a severe traumatic brain injury can be hindered by challenges, such as poor communication, limited information provision, injury-related consequences, limited services and emotional support for the injured individual and their Close Others, and a need for education of the broader community about traumatic brain injury.Suggestions for managing these challenges (e.g., peer supports; services closer to home) could be used to inform clinical guidelines that could be used in a rehabilitation context.These suggestions ultimately aim to improve the post-injury experience and outcomes of individuals with traumatic brain injury and their Close Others.

Assessment of the individual and compounding effects of marginalization factors on injury severity, discharge location, recovery, and employment outcomes at 1 year after traumatic brain injury

Objective

The aim of this study is to examine the effect of eight distinct marginalized group memberships and explore their compounding effect on injury severity, recovery, discharge location, and employment outcomes 1-year after traumatic brain injury (TBI).

Methods

Individuals with medically confirmed, complicated mild-severe TBI (N = 300) requiring inpatient rehabilitation care between the ages of 18 and 65 were recruited at two urban (public and private) health systems between 2013 and 2019. Data were collected from self-report and medical record abstraction. Marginalized group membership (MGM) includes racial and ethnic minority status, less than a high school diploma/GED, limited English proficiency, substance abuse, homelessness, psychiatric hospitalizations, psychiatric disorders, and incarceration history. Membership in four or more of these groups signifies high MGM. In addition, these factors were explored individually. Unadjusted and adjusted linear and logistic regressions and Kruskal–Wallis tests were used to assess the associations of interest in RStudio.

Results

After adjusting for age, sex, and cause of injury, compared to TBI patients with low MGM, those with high MGM experience significantly longer post-traumatic amnesia (95% CI = 2.70, 16.50; p = 0.007) and are significantly more likely to have a severe TBI (per the Glasgow-Coma Scale) (95% CI = 1.70, 6.10; p ≤ 0.001) than a complicated mild-moderate injury. Individuals with high MGM also are significantly less likely to be engaged in competitive paid employment 1 year after injury (95% CI = 2.40, 23.40; p = 0.001). Patients with high MGM are less likely to be discharged to the community compared to patients with low MGM, but this association was not significant (95% CI = 0.36, 1.16; p = 0.141). However, when assessing MGMs in isolation, certain associations were not significant in unadjusted or adjusted models.

Conclusion

This exploratory study's findings reveal that when four or more marginalization factors intersect, there is a compounding negative association with TBI severity, recovery, and employment outcomes. No significant association was found between high MGM and discharge location. When studied separately, individual MGMs had varying effects. Studying marginalization factors affecting individuals with TBI has critical clinical and social implications. These findings underline the importance of addressing multidimensional factors concurrent with TBI recovery, as the long-term effects of TBI can place additional burdens on individuals and their economic stability.

Developing a model of return to school: A Traumatic Brain Injury Model Systems study

OBJECTIVE

A common goal for those recovering from moderate to severe brain injury is to reengage in education or employment. There is significant overlap between the skills relevant for successful job and academic performance in high school and college, and many deficits reported after brain injury are consistent across young adults and adults. This study utilized a return to work (RTW) model framework to develop a model of return to school (RTS).

METHOD

Days of post-traumatic amnesia (PTA), length of stay (LOS), rehabilitation discharge Disability Rating Scale (DRS) scores, presence of pre-injury learning limitation, and educational level were used to predict RTS one-year post-injury in a student sample (N = 158, 58.8% white, 69.6% male) within the Traumatic Brain Injury Model Systems National Database.

RESULTS

The overall RTS rate for this sample was 62%. Logistic regression indicated that lower DRS discharge scores and being in high school pre-injury resulted in the best outcome.

CONCLUSION

Results showed partial support for the translation of RTW factors to a student sample; however, results may also favor the conceptual distinction in RTS versus RTW, which are elaborated. More outreach for college students may improve awareness of disability services, thereby heightening the future return rate.

Functional Outcome Trajectories Following Inpatient Rehabilitation for TBI in the United States: A NIDILRR TBIMS and CDC Interagency Collaboration

OBJECTIVE

To describe trajectories of functioning up to 5 years after traumatic brain injury (TBI) that required inpatient rehabilitation in the United States using individual growth curve models conditioned on factors associated with variability in functioning and independence over time.

DESIGN

Secondary analysis of population-weighted data from a multicenter longitudinal cohort study.

SETTING

Acute inpatient rehabilitation facilities.

PARTICIPANTS

A total of 4624 individuals 16 years and older with a primary diagnosis of TBI.

MAIN OUTCOME MEASURES

Ratings of global disability and supervision needs as reported by participants or proxy during follow-up telephone interviews at 1, 2, and 5 years postinjury.

RESULTS

Many TBI survivors experience functional improvement through 1 and 2 years postinjury, followed by a decline in functioning and decreased independence by 5 years. However, there was considerable heterogeneity in outcomes across individuals. Factors such as older age, non-White race, lower preinjury productivity, public payer source, longer length of inpatient rehabilitation stay, and lower discharge functional status were found to negatively impact trajectories of change over time.

CONCLUSIONS

These findings can inform the content, timing, and target recipients of interventions designed to maximize functional independence after TBI.

Duration of post-traumatic amnesia is uniquely associated with memory functioning in chronic moderate-to-severe traumatic brain injury

BACKGROUND

Disrupted memory circuitry may contribute to post-traumatic amnesia (PTA) after traumatic brain injury (TBI). It is unclear whether duration of PTA (doPTA) uniquely impacts memory functioning in the chronic post-injury stage.

OBJECTIVE

To examine the relationship between doPTA and memory functioning, independent of other cognitive abilities, in chronic moderate-to-severe TBI.

METHODS

Participants were 82 individuals (median chronicity = 10.5 years) with available doPTA estimates and neuropsychological data. Composite memory, processing speed (PS), and executive functioning (EF) performance scores, as well as data on subjective memory (SM) beliefs, were extracted. DoPTA-memory associations were evaluated via linear modeling of doPTA with memory performance and clinical memory status (impaired/unimpaired), controlling for PS, EF and demographic covariates. Interrelationships between doPTA, objective memory functioning, and SM were assessed.

RESULTS

DoPTA was significantly related to memory performance, even after covariate adjustment. Impairment in memory, but not PS or EF, was associated with a history of longer doPTA. SM was associated with memory performance, but unrelated to doPTA.

CONCLUSIONS

Findings suggest a specific association between doPTA-an acute injury phenomenon-and chronic memory deficits after TBI. Prospective studies are needed to understand how underlying mechanisms of PTA shape distinct outcome trajectories, particularly functional abilities related to memory processing.

Relationship between post-traumatic amnesia and white matter integrity in traumatic brain injury using tract-based spatial statistics

This study used tract-based spatial statistics to examine the relationship between post-traumatic amnesia (PTA) and white matter integrity in patients with a traumatic brain injury (TBI). Forty-seven patients with TBI in the chronic stage and 47 age- and sex-matched normal control subjects were recruited to the study. Correlation coefficients were calculated to observe the relationships among the PTA duration, white matter fractional anisotropy (FA) values, and mini-mental state examination (MMSE) results in the patient group. Both before and after Benjamini–Hochberg (BH) corrections, FA values of 46 of the 48 regions of interests of the patient group were lower than those of the control group. The FA values of column and body of fornix, left crus of fornix, left uncinate fasciculus, right hippocampus part of cingulum, left medial lemniscus, right superior cerebellar peduncle, left superior cerebellar peduncle, and left posterior thalamic radiation (after BH correction: the uncinate fasciculus and right hippocampus part of cingulum) in the patient group were negatively correlated with PTA duration. PTA duration was related to the injury severity of eight neural structures, each of which is involved in the cognitive functioning of patients with TBI. Therefore, PTA duration can indicate injury severity of the above neural structures in TBI patients.

Assessment and Management of Patients in the Acute Stages of Recovery after Traumatic Brain Injury in Adults: A Worldwide Survey

Most individuals with traumatic brain injury (TBI) experience a period of confusion after emergence from coma, termed post-traumatic amnesia, post-traumatic confusional state, or delirium. Recent guidelines suggest the importance of assessment and consistent management during this phase, but current practice worldwide remains unknown. This survey aimed to elucidate current international practice in assessment and treatment of patients in the acute stages of recovery after TBI. The web-based survey was distributed to clinicians working with patients with acute TBI. There were 400 participants (68.8% females), from 41 countries, mostly neuropsychologists, rehabilitation physicians, and occupational therapists (OTs), with an average 12.8 years of experience. Of those working with adults (n = 376, 94%), most described this acute period as post-traumatic amnesia and used its duration to indicate injury severity. More than 85% used a tool to assess patients; in order of frequency, the Glasgow Coma Scale (GCS), Westmead PTA Scale (WPTAS), Galveston Orientation and Amnesia Test, Rancho Los Amigos Scale, and O-Log. Meeting criteria on the assessment tool or clinical judgment determined emergence from this phase, indicated by recovery of orientation, day-to-day memories, and ability to follow commands or participate in rehabilitation. Most patients had physiotherapy, OT, speech therapy, and environmental changes, with a third of participants indicating sedating medication was prescribed during this phase. Findings suggest that, consistent with guidelines, PTA is a widely recognized and measured TBI recovery phase, used to determine injury severity and readiness for therapy.

Predictive Value of Midsagittal Tissue Bridges on Functional Recovery After Spinal Cord Injury

Background

The majority of patients with spinal cord injury (SCI) have anatomically incomplete lesions and present with preserved tissue bridges, yet their outcomes vary.

Objective

To assess the predictive value of the anatomical location (ventral/dorsal) and width of preserved midsagittal tissue bridges for American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade conversion and SCI patient stratification into recovery-specific subgroups.

Methods

This retrospective longitudinal study includes 70 patients (56 men, age: 52.36 ± 18.58 years) with subacute (ie, 1 month) SCI (45 tetraplegics, 25 paraplegics), 1-month neuroimaging data, and 1-month and 12-month clinical data. One-month midsagittal T2-weighted scans were used to determine the location and width of tissue bridges. Their associations with functional outcomes were assessed using partial correlation and unbiased recursive partitioning conditional inference tree (URP-CTREE).

Results

Fifty-seven (81.4%) of 70 patients had tissue bridges (2.53 ± 2.04 mm) at 1-month post-SCI. Larger ventral (P = .001, r = 0.511) and dorsal (P < .001, r = 0.546) tissue bridges were associated with higher AIS conversion rates 12 months post-SCI (n = 39). URP-CTREE analysis identified 1-month ventral tissue bridges as predictors of 12-month total motor scores (0.4 mm cutoff, P = .008), recovery of upper extremity motor scores at 12 months (1.82 mm cutoff, P = .002), 12-month pin-prick scores (1.4 mm cutoff, P = .018), and dorsal tissue bridges at 1 month as predictors of 12-month Spinal Cord Independence Measure scores (0.5 mm cutoff, P = .003).

Conclusions

Midsagittal tissue bridges add predictive value to baseline clinical measures for post-SCI recovery. Based on tissue bridges’ width, patients can be classified into subgroups of clinical recovery profiles. Midsagittal tissue bridges provide means to optimize patient stratification in clinical trials.

Electroencephalographic Grading of Neuronal Dysfunction in Various Etiologies of Encephalopathy

OBJECTIVE

The objective of this work was to study the electroencephalographic (EEG) grading of neuronal dysfunction in encephalopathy of various etiologies and assess their association with clinical outcomes.

SUBJECTS AND METHODS

This retrospective cross-sectional study was performed between June and November 2018 at the Neurology Department of King Fahd Hospital of University, Kingdom of Saudi Arabia (KSA) and involved a review and analysis of EEG and medical records pertaining to 222 patients in whom encephalopathy was diagnosed.

RESULTS

In patients suffering from encephalopathy, advanced age (P = .01), low Glasgow Coma Scale (GCS) scores (P = .00), and certain etiologies, namely hypoxic-ischemic encephalopathy (HIE) (P = .00), septic encephalopathy (P = .01), and other illnesses (P = .00), were significantly associated with unfavorable clinical outcomes, whereas traumatic brain injury (TBI) (P = .01) and GCS >7 (P = .00) were associated with favorable outcomes. Among different etiologies, EEG grade I (P = .02) and grade IV (P = .04) neuronal dysfunction was significantly associated with TBI while grade III (P = .05) and grade V (P = .02) neuronal dysfunction was significantly associated with HIE. Grade I (P = .03) neuronal dysfunction was mostly observed in septic encephalopathy cases, while patients suffering from other illnesses were also found to have grade I (P = .04) and grade IV (P = .05) neuronal dysfunction based on their EEG.

CONCLUSION

EEG is being conducted routinely to determine the course and severity of various forms of encephalopathy. However, the clinical implications of EEG grading for neuronal dysfunction are largely dependent on underlying etiology and other clinical parameters, such as age and GCS score. Further larger prospective cohort studies involving other important prognostic parameters and continuous EEG monitoring are thus needed.

Outcomes 1 and 2 Years After Moderate to Severe Traumatic Brain Injury: An International Comparative Study

OBJECTIVE

This study compared traumatic brain injury (TBI) outcomes from 2 cohorts: the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems (TBIMS) in the United States and Longitudinal Head Injury Outcome Study conducted in Victoria, Australia, by the Monash Epworth Rehabilitation Research Centre (MERRC).

DESIGN

Cohort study with 1- and 2-year follow-up.

SETTING

Acute trauma care and inpatient rehabilitation with follow-up.

PARTICIPANTS

Patients (N=1056) with moderate-severe TBI admitted in 2000-2012 to inpatient rehabilitation after motor vehicle-related collisions, who completed follow-up, were matched using 1:2 matching algorithm based on age at injury, days of posttraumatic amnesia, and years education, resulting in groups of 352 (MERRC) and 704 patients (TBIMS).

INTERVENTION

The cohorts had received acute trauma care and inpatient rehabilitation for a median 38 (MERRC) or 33 days (TBIMS). The MERRC group also had routine access to community-based support and rehabilitation for return to work or school, attendant care, and home help as justified, funded by an accident compensation system, whereas the TBIMS cohort had variable access to these services.

MAIN OUTCOME MEASURES

Outcomes were assessed 1 and 2 years post injury in terms of employment, living situation, marital status, and Glasgow Outcome Scale-Extended (GOS-E) scores.

RESULTS

At 2 years post injury, MERRC participants were more likely to be competitively employed. At both 1 and 2 years post injury, MERRC participants were more likely to be married and living independently. On GOS-E, the TBIMS group had higher percentages of patients in Lower Severe Disability/Vegetative State and Upper Good Recovery than MERRC participants, whereas the MERRC cohort had higher percentages of Lower Moderate Disability than TBIMS.

CONCLUSIONS

Findings may suggest that routine provision of community-based supports could confer benefits for long-term TBI outcomes. Further studies documenting rehabilitation services are needed to explore this.

Traumatic Microbleeds in the Hippocampus and Corpus Callosum Predict Duration of Posttraumatic Amnesia

OBJECTIVE

Radiologic predictors of posttraumatic amnesia (PTA) duration are lacking. We hypothesized that the number and distribution of traumatic microbleeds (TMBs) detected by gradient recalled echo (GRE) magnetic resonance imaging (MRI) predicts PTA duration.

SETTING

Academic, tertiary medical center.

PARTICIPANTS

Adults with traumatic brain injury (TBI).

DESIGN

We identified 65 TBI patients with acute GRE MRI. PTA duration was determined with the Galveston Orientation and Amnesia Test, Orientation Log, or chart review. TMBs were identified within memory regions (hippocampus, corpus callosum, fornix, thalamus, and temporal lobe) and control regions (internal capsule and global). Regression tree analysis was performed to identify radiologic predictors of PTA duration, controlling for clinical PTA predictors.

MAIN MEASURES

TMB distribution, PTA duration.

RESULTS

Sixteen patients (25%) had complicated mild, 4 (6%) had moderate, and 45 (69%) had severe TBI. Median PTA duration was 43 days (range, 0-240 days). In univariate analysis, PTA duration correlated with TMBs in the corpus callosum (R = 0.29, P = .02) and admission Glasgow Coma Scale (GCS) score (R = -0.34, P = .01). In multivariate regression analysis, admission GCS score was the only significant contributor to PTA duration. However, in regression tree analysis, hippocampal TMBs, callosal TMBs, age, and admission GCS score explained 26% of PTA duration variance and distinguished a subgroup with prolonged PTA.

CONCLUSIONS

Hippocampal and callosal TMBs are potential radiologic predictors of PTA duration.

Tissue bridges predict neuropathic pain emergence after spinal cord injury

OBJECTIVE

To assess associations between preserved spinal cord tissue quantified by the width of ventral and dorsal tissue bridges and neuropathic pain development after spinal cord injury.

METHODS

This retrospective longitudinal study includes 44 patients (35 men; mean (SD) age, 50.05 (18.88) years) with subacute (ie, 1 month) spinal cord injury (25 patients with neuropathic pain, 19 pain-free patients) and neuroimaging data who had a follow-up clinical assessment at 12 months. Widths of tissue bridges were calculated from midsagittal T2-weighted images and compared across groups. Regression analyses were used to identify relationships between these neuroimaging measures and previously assessed pain intensity and pin-prick score.

RESULTS

Pin-prick score of the 25 patients with neuropathic pain increased from 1 to 12 months (Δmean=10.08, 95% CI 2.66 to 17.50, p=0.010), while it stayed similar in pain-free patients (Δmean=2.74, 95% CI -7.36 to 12.84, p=0.576). They also had larger ventral tissue bridges (Δmedian=0.80, 95% CI 0.20 to 1.71, p=0.008) at 1 month when compared with pain-free patients. Conditional inference tree analysis revealed that ventral tissue bridges' width (≤2.1 or >2.1 mm) at 1 month is the strongest predictor for 12 months neuropathic pain intensity (1.90±2.26 and 3.83±1.19, p=0.042) and 12 months pin-prick score (63.84±28.26 and 92.67±19.43, p=0.025).

INTERPRETATION

Larger width of ventral tissue bridges-a proxy for spinothalamic tract function-at 1 month post-spinal cord injury is associated with the emergence and maintenance of neuropathic pain and increased pin-prick sensation. Spared ventral tissue bridges could serve as neuroimaging biomarkers of neuropathic pain and might be used for prediction and monitoring of pain outcomes and stratification of patients in interventional trials.

Development of an Accurate Bedside Swallowing Evaluation Decision Tree Algorithm for Detecting Aspiration in Acute Respiratory Failure Survivors

BACKGROUND

The bedside swallowing evaluation (BSE) is an assessment of swallowing function and airway safety during swallowing. After extubation, the BSE often is used to identify the risk of aspiration in acute respiratory failure (ARF) survivors.

RESEARCH QUESTION

We conducted a multicenter prospective study of ARF survivors to determine the accuracy of the BSE and to develop a decision tree algorithm to identify aspiration risk.

STUDY DESIGN AND METHODS

Patients extubated after ≥ 48 hours of mechanical ventilation were eligible. Study procedures included the BSE followed by a gold standard evaluation, the flexible endoscopic evaluation of swallowing (FEES).

RESULTS

Overall, 213 patients were included in the final analysis. Median time from extubation to BSE was 25 hours (interquartile range, 21-45 hours). The FEES was completed 1 hour after the BSE (interquartile range, 0.5-2 hours). A total of 33% (70/213; 95% CI, 26.6%-39.2%) of patients aspirated on at least one FEES bolus consistency test. Thin liquids were the most commonly aspirated consistency: 27% (54/197; 95% CI, 21%-34%). The BSE detected any aspiration with an accuracy of 52% (95% CI, 45%-58%), a sensitivity of 83% (95% CI, 74%-92%), and negative predictive value (NPV) of 81% (95% CI, 72%-91%). Using recursive partitioning analyses, a five-variable BSE-based decision tree algorithm was developed that improved the detection of aspiration with an accuracy of 81% (95% CI, 75%-87%), sensitivity of 95% (95% CI, 90%-98%), and NPV of 97% (95% CI, 95%-99%).

INTERPRETATION

The BSE demonstrates variable accuracy to identify patients at high risk for aspiration. Our decision tree algorithm may enhance the BSE and may be used to identify patients at high risk for aspiration, yet requires further validation.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT02363686; URL: www.clinicaltrials.gov.

Predictors of 1-Year Global Outcomes After Traumatic Brain Injury Among Older Adults: A NIDILRR Traumatic Brain Injury Model Systems Study

Objective: To assess predictors of global function and driving status among older adults (50 years and older) who survived 1 year following inpatient rehabilitation for moderate-to-severe traumatic brain injury (TBI). Methods: Functional status at 1-year post-TBI was determined for 1,845 individuals. The relationship age category to function was studied using associations and predictive modeling. Results: The final model accounted for 34% variance in Glasgow Outcome Scale-Extended (GOS-E) among 60- to 69-year-olds and 70- to 79-year-olds, and 25% variance in 50- to 59-year-olds and 80+-year-olds. FIM Motor at rehabilitation discharge made the greatest contribution to GOS-E variance across all age groups. Inpatient rehabilitation discharge to nursing home or adult home and rehospitalization were associated with a one-level decrease in GOS-E. Alcohol use predicted lower GOS-E among the 70- to 79-year-olds. Gender, ethnicity, and rehospitalizations were negatively associated driving. Discussion: Rehabilitation approaches to older adults with TBI may help maximize function and, thereby, improve later outcomes and decrease rehospitlaizations. Such strategies may include longer and more intensive acute rehabilitation with greater patient engagement and enhanced transitions of care.

Opiate analgesics and testing of post traumatic amnesia in school-aged children

OBJECTIVE

To assess the validity of the Westmead PTA scale in school-aged children treated with opiate analgesics.

METHOD

Twenty-eight hospitalized children without brain injury, aged between 8 and 16 years treated with opiate analgesics for pain relief following surgery were tested on the Westmead PTA scale. Pain and stress levels were also self-reported each day.

RESULTS

Only 29% (n = 7) of children assessed over four days obtained a maximum score of 12/12 on three consecutive days, thus 71% would have been deemed to have been in PTA when they were not. The percentage of children who obtained a maximum score significantly decreased over consecutive days of assessment, due to an increase in error rate on picture memory items. Self-reported pain and stress ratings were not correlated with PTA scores.

CONCLUSIONS

Opiate analgesia can disrupt performance on the Westmead PTA scale in school-aged children resulting in a high false-positive error rate. It is therefore important to record pain medication schedules and interpret results cautiously when opiate analgesia is used following a TBI. Alteration of the method of administration of the memory items should be researched as this may increase the validity of the scale for children with TBI treated with opiate analgesics.

Limited Colocalization of Microbleeds and Microstructural Changes after Severe Traumatic Brain Injury

Severe traumatic brain injury (TBI) produces shearing forces on long-range axons and brain vessels, causing axonal and vascular injury. To examine whether microbleeds and axonal injury colocalize after TBI, we performed whole-brain susceptibility-weighted imaging (SWI) and diffusion tensor imaging (DTI) in 14 patients during the subacute phase after severe TBI. SWI was used to determine the number and volumes of microbleeds in five brain regions: the frontotemporal lobe; parieto-occipital lobe; midsagittal region (cingular cortex, parasagittal white matter, and corpus callosum); deep nuclei (basal ganglia and thalamus); and brainstem. Averaged fractional anisotropy (FA) and mean diffusivity (MD) were measured to assess microstructural changes in the normal appearing white matter attributed to axonal injury in the same five regions. Regional expressions of microbleeds and microstructure were used in a partial least-squares model to predict the impairment of consciousness in the subacute stage after TBI as measured with the Coma Recovery Scale-Revised (CRS-R). Only in the midsagittal region, the expression of microbleeds was correlated with regional changes in microstructure as revealed by DTI. Microbleeds and microstructural DTI-based metrics of deep, but not superficial, brain regions were able to predict individual CRS-R. Our results suggest that microbleeds are not strictly related to axonal pathology in other than the midsagittal region. While each measure alone was predictive, the combination of both metrics scaled best with individual CRS-R. Structural alterations in deep brain structures are relevant in terms of determining the severity of impaired consciousness in the acute stage after TBI.

The Prognosis of Axial vs. Extra-Axial Lesions on Functional Status After Traumatic Brain Injury

Background: Head computed tomography (CT) scans are widely used in acute head injury for medical triage and surgical decisions, yet there are contradictions on the prognostic value of different head CT classifications. The intra-axial (axial) lesion vs. extra-axial lesion is a well-known systemic classification but has not been applied into clinical practice since there is no evidence-based support for its prognostic value.

Hypothesis: Axial injury is related to worse functional independence compared to extra-axial injury at admission to and discharge from acute rehabilitation hospitalization.

Design: Observational retrospective study.

Settings and participants: Data from 71 participants who were enrolled at an acute rehabilitation hospital in the Northern California Traumatic Brain Injury Model System of Care (NCTBIMS) between 2005 and 2018 were included in the analysis.

Main outcome measure and statistical analysis: Results of non-contrast head CT within the first 7 days after injury were analyzed to determine those with axial vs. extra-axial lesions. Functional Independence Measure (FIM) total scores were compared between the axial vs. extra-axial groups at admission and discharge using parametric and non-parametric tests.

Results: There were no statistically significant group differences in FIM total scores at rehabilitation admission and discharge between the axial group and extra-axial groups.

Conclusion: In this cohort of patients there was no evidence to support the hypothesis that axial injury is related to worse functional independence compared to extra-axial injury at rehabilitation admission and discharge. Utilizing MRI findings or other outcome measures, such as the 10 meter ambulation test or cognitive tests, may provide better sensitivity to potential functional differences.

Length of post-traumatic amnesia and its prediction of neuropsychological outcome following severe to extremely severe traumatic brain injury in a litigating sample

Primary Objective: The aim of the current study was to examine the relationship between duration of post-traumatic amnesia (PTA) and neuropsychological outcome at one or more years following severe to extremely severe traumatic brain injury (TBI) in a litigating sample. Research Design: Retrospective study design, using data collected from 2010 to 2017. Methods and Procedures: Data from 41 cases obtained from a private medicolegal neuropsychological database was examined. The database comprised information pertaining to TBI etiology, TBI severity parameters, demographic variables, neuropsychological test results and scores on psychological questionnaires. PTA duration was examined as a continuous variable. All cases that demonstrated non-credible effort were excluded. Main Outcomes and Results: Continuous PTA duration was not found to be a significant predictor of cognitive impairment across domains of verbal intellect, non-verbal intellect, working memory, information processing speed, immediate memory, delayed memory, and executive functioning. Conclusions: The predictive relationship between duration of PTA and cognitive impairment that has been reported in non-litigating populations did not exist in a litigating TBI sample. Findings illustrate the importance of investigating the relationships between injury variables and cognitive outcome in a population undergoing litigation, to provide better understanding of outcome in this subgroup of patients with TBI.

Predictive utility of an adapted Marshall head CT classification scheme after traumatic brain injury

OBJECTIVE

To study the predictive relationship among persons with traumatic brain injury (TBI) between an objective indicator of injury severity (the adapted Marshall computed tomography [CT] classification scheme) and clinical indicators of injury severity in the acute phase, functional outcomes at inpatient rehabilitation discharge, and functional and participation outcomes at 1 year after injury, including death.

PARTICIPANTS

The sample involved 4895 individuals who received inpatient rehabilitation following acute hospitalization for TBI and were enrolled in the Traumatic Brain Injury Model Systems National Database between 1989 and 2014.

DESIGN

Head CT variables for each person were fit into adapted Marshall CT classification categories I through IV.

MAIN MEASURES

Prediction models were developed to determine the amount of variability explained by the CT classification categories compared with commonly used predictors, including a clinical indicator of injury severity.

RESULTS

The adapted Marshall classification categories aided only in the prediction of craniotomy or craniectomy during acute hospitalization, otherwise making no meaningful contribution to variance in the multivariable models predicting outcomes at any time point after injury.

CONCLUSION

Results suggest that head CT findings classified in this manner do not inform clinical discussions related to functional prognosis or rehabilitation planning after TBI.

ABBREVIATIONS

CT: computed tomography; DRS: disability rating scale; EGOS: extended Glasgow outcome scale; FIM: functional independence measure; NDB: National Data Base; PTA: posttraumatic amnesia; RLOS: rehabilitation length of stay; SPOS: semipartial omega squared statistic; TBI: traumatic brain injury; TBIMS: Traumatic Brain Injury Model Systems.

Predictive value of early MRI findings on neurocognitive and psychiatric outcomes in patients with severe traumatic brain injury

BACKGROUND

Traumatic brain injury (TBI) is the major public health problem worldwide, particularly in the Middle East. Diffuse axonal injury (DAI) is commonly found in TBI. Although DAI can lead to physical and psychosocial disabilities, its prognostic value is still a matter of debate. Magnetic Resonance (MR) is more sensitive for detecting DAI lesions.

OBJECTIVE

To identify the radiological and clinical factors associated with the functional capacity one year after the traumatic brain injury.

METHODS

The study included 251 patients with severe head trauma for whom Brain MRI was done within one month after injury. Demographic, clinical, and radiological data were collected during hospitalization. Neurocognitive and psychiatric evaluation were done one year thereafter.

RESULTS

DAI was more frequent in our patients. Psychiatric disorders, cognitive impairment, and poor functional outcome were more common in patients with DAI especially those with cerebral hemisphere and brain stem lesion, and mixed lesions. Duration of post traumatic amnesia (DPTA), lost consciousness and hospital stay (DHS) as well as the volume of diffuse axonal injury (DAI) were associated with poor neurocognitive outcome. DPTA, and DAIV may be considered independent factors that could predict the neurocognitive outcome.

CONCLUSION

MRI following traumatic brain injury yields important prognostic information, with several lesion patterns significantly associated with poor long-term neurocognitive and psychiatric outcomes.

Traumatic brain injury and frontal lobe plasticity

Over 1.4 million people in the United States experience traumatic brain injury (TBI) each year and approximately 52,000 people die annually due to complications related to TBI. Traditionally, TBI has been viewed as a static injury with significant consequences for frontal lobe functioning that plateaus after some window of recovery, remaining relatively stable thereafter. However, over the past decade there has been growing consensus that the consequences of TBI are dynamic, with unique characteristics expressed at the individual level and over the life span. This chapter first discusses the pathophysiology of TBI in order to understand its dynamic process and then describes the behavioral changes that are the result of injury with focus on frontal lobe functions. It integrates a historical perspective on structural and functional brain-imaging approaches used to understand how TBI impacts the frontal lobes, as well as more recent approaches to examine large-scale network changes after TBI. The factors most useful for outcome prediction are surveyed, along with how the theoretical frameworks used to predict recovery have developed over time. In this chapter, the authors argue for the need to understand outcome after TBI as a dynamic process with individual trajectories, taking a network theory perspective to understand the consequences of disrupting frontal systems in TBI. Within this framework, understanding frontal lobe dysfunction within a larger coordinated neural network to study TBI may provide a novel perspective in outcome prediction and in developing individualized treatments.

Influence of demographic factors and clinical status parameters on long-term neurological, psychological and vegetative outcome following traumatic brain injury

PRIMARY OBJECTIVE

We evaluated the neurologic, psychological and vegetative outcome, the health status and changes of the personal and occupational status of patients after traumatic brain injuries (TBIs). Correlations between outcome parameters and basic demographic factors and initial clinical status parameters of the patients were assessed.

RESEARCH DESIGN

Monocentric, retrospective follow-up analysis.

METHODS AND PROCEDURES

We evaluated the neurologic, psychological and vegetative outcome and health status of patients, who survived TBI with a mean follow-up time of 54 months. Glasgow Outcome Scale (GOS), Disability Rating Scale (DRS) and a questionnaire on Quality of Life were used for outcome measurement. The personal and occupational status, trauma-derived changes to that status and medical and demographic factors that have an impact on the health condition of patients after TBI were assessed.

MAIN OUTCOMES AND RESULTS

With a median GOS of 5.0 and median DRS of 3.0, our patients showed just moderate disabilities. Fifty-six per cent of the patients felt 'very good' or 'good'. Age, gender, the preclinical Glasgow Coma Scale (GCS), state of pupil reaction and surgical treatment did not seem to affect the GOS or DRS. Correlations between body mass index, age and gender and distinct neurologic, psychological and vegetative symptoms were found. The personal status did not change significantly after TBI. Changes to occupational and socioeconomic status were evident.

CONCLUSIONS

One-third of the patients are heavily affected by neurological, psychological and vegetative symptoms after surviving TBI. Some demographic factors affected this integrity.

Psychological Resilience Is Associated With Participation Outcomes Following Mild to Severe Traumatic Brain Injury

Traumatic brain injury (TBI) causes physical and cognitive-behavioral impairments that reduce participation in employment, leisure, and social relationships. Demographic and injury-related factors account for a small proportion of variance in participation post-injury. Personal factors such as resilience may also impact outcomes. This study aimed to examine the association of resilience alongside demographic, injury-related, cognitive, emotional, and family factors with participation following TBI. It was hypothesized that resilience would make an independent contribution to participation outcomes after TBI. Participants included 245 individuals with mild-severe TBI [Mage = 44.41, SDage = 16.09; post traumatic amnesia (PTA) duration M 24.95 days, SD 45.99] who completed the Participation Assessment with Recombined Tools-Objective (PART-O), TBI Quality of Life Resilience scale, Family Assessment Device General Functioning Scale, Rey Auditory Verbal Learning Test, National Adult Reading Test, and Hospital Anxiety and Depression Scale an average 4.63 years post-injury (SD 3.02, R 0.5-13). Multiple regression analyses were used to examine predictors of PART-O scores as the participation measure. Variables in the model accounted for a significant 38% of the variability in participation outcomes, F(13, 211) = 9.93, p < 0.05, R2 = 0.38, adjusted R2 = 0.34. Resilience was a significant predictor of higher participation, along with shorter PTA duration, more years since injury, higher education and IQ, and younger age. Mediation analyses revealed depression mediated the relationship between resilience and participation. As greater resilience may protect against depression and enhance participation this may be a focus of intervention.

Application of virtual environments in a multi-disciplinary day neurorehabilitation program to improve executive functioning using the Stroop task

BACKGROUND

Virtual reality (VR) technology has demonstrated usefulness in diagnosis, education, and training. Studies supporting use of VR as a therapeutic treatment in medical rehabilitation settings remain limited. This study examines the use of VR in a treatment capacity, and whether it can be effectively integrated into neurorehabilitation.

OBJECTIVE

To determine whether immersive VR treatment interventions improve executive dysfunction in patients with brain injury and whether performance is stronger on a VR version of the Stroop than traditional Stroop formats.

METHODS

15 patients with brain injury admitted to day neurorehabilitation.

OUTCOME MEASURES

reaction time, inhibition, and accuracy indices on VR Stroop; Automated Neuropsychological Assessment Metrics (ANAM) Stroop, Delis-Kaplan Executive Function System Stroop, Golden Stroop, and Woodcock-Johnson, 3rd Edition (WJ-III): Pair Cancellation.

RESULTS

Participants demonstrated significantly reduced response time on the word-reading condition of VR Stroop and non-significantly reduced response time on the interference condition. Non-significant improvements in accuracy and inhibition were demonstrated on the color-naming condition of VR Stroop. Significantly improved accuracy under time pressure was found for the ANAM, after VR intervention.

CONCLUSION

Implementation of immersive VR interventions during neurorehabilitation is effective in improving specific executive functions and information processing speed in brain-injured patients during the subacute period.

Predicting Long-Term Global Outcome after Traumatic Brain Injury: Development of a Practical Prognostic Tool Using the Traumatic Brain Injury Model Systems National Database

For patients surviving serious traumatic brain injury (TBI), families and other stakeholders often desire information on long-term functional prognosis, but accurate and easy-to-use clinical tools are lacking. We aimed to build utilitarian decision trees from commonly collected clinical variables to predict Glasgow Outcome Scale (GOS) functional levels at 1, 2, and 5 years after moderate-to-severe closed TBI. Flexible classification tree statistical modeling was used on prospectively collected data from the TBI-Model Systems (TBIMS) inception cohort study. Enrollments occurred at 17 designated, or previously designated, TBIMS inpatient rehabilitation facilities. Analysis included all participants with nonpenetrating TBI injured between January 1997 and January 2017. Sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5) after cross-sectional exclusions (death, vegetative state, insufficient post-injury time, and unavailable outcome). In our final models, post-traumatic amnesia (PTA) duration consistently dominated branching hierarchy and was the lone injury characteristic significantly contributing to GOS predictability. Lower-order variables that added predictability were age, pre-morbid education, productivity, and occupational category. Generally, patient outcomes improved with shorter PTA, younger age, greater pre-morbid productivity, and higher pre-morbid vocational or educational achievement. Across all prognostic groups, the best and worst good recovery rates were 65.7% and 10.9%, respectively, and the best and worst severe disability rates were 3.9% and 64.1%. Predictability in test data sets ranged from C-statistic of 0.691 (year-1; confidence interval [CI], 0.675, 0.711) to 0.731 (year-2; CI, 0.724, 0.738). In conclusion, we developed a clinically useful tool to provide prognostic information on long-term functional outcomes for adult survivors of moderate and severe closed TBI. Predictive accuracy for GOS level was demonstrated in an independent test sample. Length of PTA, a clinical marker of injury severity, was by far the most critical outcome determinant.

Measuring Neurobehavioral Functioning in People With Traumatic Brain Injury: Rasch Analysis of Neurobehavioral Functioning Inventory

OBJECTIVE

To examine internal construct validity of the Neurobehavioral Functioning Inventory (NFI) by applying Rasch analysis.

SETTING

An outpatient rehabilitation program trial in New Zealand employing a goal-setting intervention in people with traumatic brain injury (TBI).

PARTICIPANTS

One hundred eight people (mean age = 46 years; 73% male) between 6 months and 5 years post-TBI.

DESIGN

Rasch analysis of the NFI (Partial Credit Model).

RESULTS

Three NFI subscales were not unidimensional and at least 4 items in each subscale had disordered response categories. Two items showed differential item functioning by age, 1 item by educational attainment, and 2 items were found to misfit the overall construct. These items were excluded from the total score calculation. The revised scale fit the Rasch model and supported the internal construct validity of the NFI.

CONCLUSIONS

Current scoring of the NFI subscales for people with TBI in New Zealand does not meet the requirements of the Rasch model. The revised version of NFI can improve the interpretation of scores but should be further tested with people with TBI in other settings.

Preliminary validation study of the Sydney Post-Traumatic Amnesia Scale (SYPTAS) in children with traumatic brain injury aged 4 to 7 years

The aim of this study was to assess the validity (developmental, concurrent, and predictive) of the Sydney Post-Traumatic Amnesia Scale (SYPTAS) for assessment of post-traumatic amnesia (PTA) in 4 to 7 year old children with traumatic brain injury (TBI). The design of this study is a retrospective cohort study. The SYPTAS was administered to 35 children (26 boys) aged 4.0 to 7.8 years who were consecutively admitted to a children's hospital with mild (n = 26), moderate (n = 3), or severe (n = 7) TBI. Concurrent validity of the SYPTAS was assessed against the Glasgow Coma Scale Scores (GCS). Predictive validity of the SYPTAS for functional outcomes was evaluated against the King's Outcome Scale for Childhood Head Injury (KOSCHI) at discharge and outpatient follow-ups. The length of PTA, measured by the SYPTAS, was invariant of children's chronological age, confirming the scale's developmental validity. Longer PTA was associated with lower GCS, endorsing concurrent validity of PTA duration measured by the SYPTAS, as a clinical indicator of TBI severity. PTA duration measured by the SYPTAS was a significant predictor of functional outcomes on the KOSCHI at discharge and follow-ups. This study provides evidence that the SYPTAS has good developmental, concurrent and predictive validity for assessment of PTA in children aged 4 to 7 years. PTA duration assessed by the SYPTAS is a clinical indicator of TBI severity and can aid rehabilitation planning post TBI.

Medical necessity of routine admission of children with mild traumatic brain injury to the intensive care unit

OBJECTIVE Approximately 475,000 children are treated for traumatic brain injury (TBI) in the US each year; most are classified as mild TBI (Glasgow Coma Scale [GCS] Score 13-15). Patients with positive findings on head CT, defined as either intracranial hemorrhage or skull fracture, regardless of severity, are often transferred to tertiary care centers for intensive care unit (ICU) monitoring. This practice creates a significant burden on the health care system. The purpose of this investigation was to derive a clinical decision rule (CDR) to determine which children can safely avoid ICU care. METHODS The authors retrospectively reviewed patients with mild TBI who were ≤ 16 years old and who presented to a Level 1 trauma center between 2008 and 2013. Data were abstracted from institutional TBI and trauma registries. Independent covariates included age, GCS score, pupillary response, CT characteristics, and Injury Severity Score. A composite outcome measure, ICU-level care, was defined as cardiopulmonary instability, transfusion, intubation, placement of intracranial pressure monitor or other invasive monitoring, and/or need for surgical intervention. Stepwise logistic regression defined significant predictors for model inclusion with p < 0.10. The authors derived the CDR with binary recursive partitioning (using a misclassification cost of 20:1). RESULTS A total of 284 patients with mild TBI were included in the analysis; 40 (14.1%) had ICU-level care. The CDR consisted of 5 final predictor variables: midline shift > 5 mm, intraventricular hemorrhage, nonisolated head injury, postresuscitation GCS score of < 15, and cisterns absent. The CDR correctly identified 37 of 40 patients requiring ICU-level care (sensitivity 92.5%; 95% CI 78.5-98.0) and 154 of 244 patients who did not require an ICU-level intervention (specificity 63.1%; 95% CI 56.7-69.1). This results in a negative predictive value of 98.1% (95% CI 94.1-99.5). CONCLUSIONS The authors derived a clinical tool that defines a subset of pediatric patients with mild TBI at low risk for ICU-level care. Although prospective evaluation is needed, the potential for improved resource allocation is significant.

Factors Associated With Rehabilitation Outcomes After Traumatic Brain Injury: Comparing Functional Outcomes Between TBIMS Centers Using Hierarchical Linear Modeling

OBJECTIVE

To examine differences in patient outcomes across Traumatic Brain Injury Model Systems (TBIMS) rehabilitation centers and factors that influence these differences using hierarchical linear modeling (HLM).

SETTING

Sixteen TBIMS centers.

PARTICIPANTS

A total of 2056 individuals 16 years or older with moderate to severe traumatic brain injury (TBI) who received inpatient rehabilitation.

DESIGN

Multicenter observational cohort study using HLM to analyze prospectively collected data.

MAIN OUTCOME MEASURES

Functional Independence Measure and Disability Rating Scale total scores at discharge and 1 year post-TBI.

RESULTS

Duration of posttraumatic amnesia (PTA) demonstrated a significant inverse relationship with functional outcomes. However, the magnitude of this relationship (change in functional status for each additional day in PTA) varied among centers. Functional status at discharge from rehabilitation and at 1 year post-TBI could be predicted using the slope and intercept of each TBIMS center for the duration of PTA, by comparing it against the average slope and intercept.

CONCLUSIONS

HLM demonstrated center effect due to variability in the relationship between PTA and functional outcomes of patients. This variability is not accounted for in traditional linear regression modeling. Future studies examining variations in patient outcomes between centers should utilize HLM to measure the impact of additional factors that influence patient rehabilitation functional outcomes.

Neurobehavioral Management of Traumatic Brain Injury in the Critical Care Setting: An Update

Traumatic brain injury (TBI) is an alteration in brain function, or other evidence of brain pathology, caused by an external force. TBI is a major cause of disability and mortality worldwide. Post-traumatic amnesia, or the interval from injury until the patient is oriented and able to form and later recall new memories, is an important index of TBI severity and functional outcome. This article will discuss the updates in the epidemiology, definition and classification, pathophysiology, diagnosis, and management of common acute neuropsychiatric sequelae of traumatic brain injury that the critical care specialist may encounter.

Diffusion Tensor Tractography for Detection of Concomitant Traumatic Brain Injury in Patients With Traumatic Spinal Cord Injury

OBJECTIVES

We investigated concomitant traumatic brain injury in patients with traumatic spinal cord injury (TSCI) who had head trauma history, using diffusion tensor tractography (DTT).

DESIGN

Retrospective survey.

PARTICIPANTS

We recruited 14 consecutive patients with TSCI and coexisting head trauma history at the time of TSCI and 30 control subjects.

METHODS

The corticospinal tract (CST), corticoreticulospinal tract (CRT), cingulum, and fornix were reconstructed using DTT, and DTT parameters (fractional anisotropy and fiber volume) and configuration were estimated.

RESULTS

The values of fractional anisotropy and fiber volume in the CST, CRT, cingulum, and fornix of the patient group were significantly lower than those of the control group (P < .05). On configurational analysis of DTT for each tract, the neural tracts for motor function (the CST and CRT) had more injury than the neural tracts for cognitive function (the cingulum and fornix). No association between the severity of TSCI and traumatic brain injury was observed in terms of DTT parameters.

CONCLUSIONS

Using DTT, we found injury of the neural tracts in patients with head trauma history at the time of TSCI. Our results suggest that brain evaluation using DTT can be recommended for the patients with head trauma history at the time of TSCI irrespective of the results of conventional brain MRI.

Correlations between Cognitive Impairments and Employment Status in Patients with Diffuse Axonal Injury

Patients with diffuse axonal injury (DAI) may initially present with prominent physical impairments, but their cognitive dysfunctions are more persistent and are attributable to later unemployment. In this study, we analyzed how the findings of early and delayed neuropsychological assessments correlated with employment outcome of patients with DAI. A total of 56 patients with DAI without motor or visual dysfunction were included in this study. The neuropsychological battery consisted of the Wechsler Adult Intelligent Scale - Revised (WAIS-R), Wechsler Memory Scale - Revised (WMS-R), Trail Making Test (TMT), Wisconsin Card Sorting Test (WCST), and Word Fluency Test (WFT). This battery of tests was administered twice in early stage after injury and in later stage. The results of all of the neuropsychological tests improved significantly (P <0.001) between the early and later assessments. All scores other than TMT part A and B improved to the normal range (Z-score ≥ 2). The patient characteristics (age, gender, initial Glasgow Coma Scale, and duration of posttraumatic amnesia) had no relationship to the outcome. The results of TMT part B, however, were significantly correlated with employment outcome in both the early and later assessments (P = 0.01, 0.04). Given that TMT evaluates visual attention, we surmise that a lack of attention may be the core symptom of the cognitive deficit and cause the re-employment failure in patients with DAI. TMT part B in both early and later assessments has the potential to accurately predict chronic functional outcome.