Accuracy of Self-report as a Method of Screening for Lifetime Occurrence of Traumatic Brain Injury Events that Resulted in Hospitalization

2016 ◽  
Vol 22 (7) ◽  
pp. 717-723 ◽  
Author(s):  
Audrey McKinlay ◽  
L. John Horwood ◽  
David M. Fergusson
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Early Adulthood ◽  
Self Report ◽  
Increased Risk ◽  
History Of ◽  
Severe Tbi ◽  
Health And Development ◽  
At Risk Populations

AbstractBackgroundTraumatic brain injury (TBI) occurs frequently during child and early adulthood, and is associated with negative outcomes including increased risk of drug abuse, mental health disorders and criminal offending. Identification of previous TBI for at-risk populations in clinical settings often relies on self-report, despite little information regarding self-report accuracy. This study examines the accuracy of adult self-report of hospitalized TBI events and the factors that enhance recall.MethodsThe Christchurch Health and Development Study is a birth cohort of 1265 children born in Christchurch, New Zealand, in 1977. A history of TBI events was prospectively gathered at each follow-up (yearly intervals 0–16, 18, 21, 25 years) using parental/self-report, verified using hospital records.ResultsAt 25 years, 1003 cohort members were available, with 59/101 of all hospitalized TBI events being recalled. Recall varied depending on the age at injury and injury severity, with 10/11 of moderate/severe TBI being recalled. Logistic regression analysis indicated that a model using recorded loss of consciousness, age at injury, and injury severity, could accurately classify whether or not TBI would be reported in over 74% of cases.ConclusionsThis research demonstrates that, even when individuals are carefully cued, many instances of TBI will not recalled in adulthood despite the injury having required a period of hospitalization. Therefore, screening for TBI may require a combination of self-report and review of hospital files to ensure that all cases are identified. (JINS, 2016, 22, 717–723)

Is Routine Continuous EEG for Traumatic Brain Injury Beneficial?

2017 ◽  
Vol 83 (12) ◽  
pp. 1433-1437 ◽  
Author(s):  
Lia Aquino ◽  
Christopher Y. Kang ◽  
Megan Y. Harada ◽  
Ara Ko ◽  
Amy Do-nguyen ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Trauma Patients ◽  
Injury Score ◽  
Increased Risk ◽  
Continuous Eeg ◽  
Severe Tbi ◽  
Level I ◽  
Abbreviated Injury Score

Severe traumatic brain injury (TBI) is associated with increased risk for early clinical and sub-clinical seizures. The use of continuous electroencephalography (cEEG) monitoring after TBI allows for identification and treatment of seizures that may otherwise occur undetected. Benefits of “routine” cEEG after TBI remain controversial. We examined the rate of subclinical seizures identified by cEEG in TBI patients admitted to a Level I trauma center. We analyzed a cohort of trauma patients with moderate to severe TBI (head Abbreviated Injury Score ≥3) who received cEEG within seven days of admission between October 2011 and May 2015. Demographics, clinical data, injury severity, and costs were recorded. Clinical characteristics were compared between those with and without seizures as identified by cEEG. A total of 106 TBI patients with moderate to severe TBI received a cEEG during the study period. Most were male (74%) with a mean age of 55 years. Subclinical seizures were identified by cEEG in only 3.8 per cent of patients. Ninety-three per cent were on antiseizure prophylaxis at the time of cEEG. Patients who had subclinical seizures were significantly older than their counterparts (80 vs 54 years, P = 0.03) with a higher mean head Abbreviated Injury Score (5.0 vs 4.0, P = 0.01). Mortality and intensive care unit stay were similar in both groups. Of all TBI patients who were monitored with cEEG, seizures were identified in only 3.8 per cent. Seizures were more likely to occur in older patients with severe head injury. Given the high cost of routine cEEG and the low incidence of subclinical seizures, we recommend cEEG monitoring only when clinically indicated.

Self-awareness four years after severe traumatic brain injury: discordance between the patient’s and relative’s complaints. Results from the PariS-TBI study

2017 ◽  
Vol 32 (5) ◽  
pp. 692-704 ◽  
Author(s):  
Camille Chesnel ◽  
Claire Jourdan ◽  
Eleonore Bayen ◽  
Idir Ghout ◽  
Emmanuelle Darnoux ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Significant Relationship ◽  
Injury Severity ◽  
Chronic Phase ◽  
Functional Independence ◽  
Severe Tbi

Objective: To evaluate the patient’s awareness of his or her difficulties in the chronic phase of severe traumatic brain injury (TBI) and to determine the factors related to poor awareness. Design/Setting/Subjects: This study was part of a larger prospective inception cohort study of patients with severe TBI in the Parisian region (PariS-TBI study). Intervention/Main measures: Evaluation was carried out at four years and included the Brain Injury Complaint Questionnaire (BICoQ) completed by the patient and his or her relative as well as the evaluation of impairments, disability and quality of life. Results: A total of 90 patient-relative pairs were included. Lack of awareness was measured using the unawareness index that corresponded to the number of discordant results between the patient and relative in the direction of under evaluation of difficulties by the patient. The only significant relationship found with lack of awareness was the subjective burden perceived by the relative (Zarit Burden Inventory) ( r = 0.5; P < 0.00001). There was no significant relationship between lack of awareness and injury severity, pre-injury socio-demographic data, cognitive impairments, mood disorders, functional independence (Barthel index), global disability (Glasgow Outcome Scale), return to work at four years or quality of life (Quality Of Life after Brain Injury scale (QOLIBRI)). Conclusion: Lack of awareness four years post severe TBI was not related to the severity of the initial trauma, sociodemographic data, the severity of impairments, limitations of activity and participation, or the patient’s quality of life. However, poor awareness did significantly influence the weight of the burden perceived by the relative.

scholarly journals Moderate and severe traumatic brain injury: effect of blood alcohol concentration on Glasgow Coma Scale score and relation to computed tomography findings

2015 ◽  
Vol 122 (1) ◽  
pp. 211-218 ◽  
Author(s):  
Nils Petter Rundhaug ◽  
Kent Gøran Moen ◽  
Toril Skandsen ◽  
Kari Schirmer-Mikalsen ◽  
Stine B. Lund ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Dependent Manner ◽  
Blood Alcohol ◽  
Severe Tbi ◽  
Gcs Score ◽  
Dose Dependent

OBJECT The influence of alcohol is assumed to reduce consciousness in patients with traumatic brain injury (TBI), but research findings are divergent. The aim of this investigation was to study the effects of different levels of blood alcohol concentration (BAC) on the Glasgow Coma Scale (GCS) scores in patients with moderate and severe TBI and to relate the findings to brain injury severity based on the admission CT scan. METHODS In this cohort study, 265 patients (age range 16–70 years) who were admitted to St. Olavs University Hospital with moderate and severe TBI during a 7-year period were prospectively registered. Of these, 217 patients (82%) had measured BAC. Effects of 4 BAC groups on GCS score were examined with ordinal logistic regression analyses, and the GCS scores were inverted to give an OR > 1. The Rotterdam CT score based on admission CT scan was used to adjust for brain injury severity (best score 1 and worst score 6) by stratifying patients into 2 brain injury severity groups (Rotterdam CT scores of 1–3 and 4–6). RESULTS Of all patients with measured BAC, 91% had intracranial CT findings and 43% had BAC > 0 mg/dl. The median GCS score was lower in the alcohol-positive patients (6.5, interquartile range [IQR] 4–10) than in the alcohol-negative patients (9, IQR 6–13; p < 0.01). No significant differences were found between alcohol-positive and alcohol-negative patients regarding other injury severity variables. Increasing BAC was a significant predictor of lower GCS score in a dose-dependent manner in age-adjusted analyses, with OR 2.7 (range 1.4–5.0) and 3.2 (range 1.5–6.9) for the 2 highest BAC groups (p < 0.01). Subgroup analyses showed an increasing effect of BAC group on GCS scores in patients with Rotterdam CT scores of 1–3: OR 3.1 (range 1.4–6.6) and 6.7 (range 2.7–16.7) for the 2 highest BAC groups (p < 0.01). No such relationship was found in patients with Rotterdam CT scores of 4–6 (p = 0.14–0.75). CONCLUSIONS Influence of alcohol significantly reduced the GCS score in a dose-dependent manner in patients with moderate and severe TBI and with Rotterdam CT scores of 1–3. In patients with Rotterdam CT scores of 4–6, and therefore more CT findings indicating increased intracranial pressure, the brain injury itself seemed to overrun the depressing effect of the alcohol on the CNS. This finding is in agreement with the assumption of many clinicians in the emergency situation.

Abstract 230: Differential Effects of Prehospital Hypotension and Injury Severity in Isolated vs. Multisystem Major Traumatic Brain Injury

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Daniel W Spaite ◽  
Chengcheng Hu ◽  
Bentley J Bobrow ◽  
Bruce J Barnhart ◽  
Vatsal Chikani ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Treatment Effectiveness ◽  
Guideline Implementation ◽  
Body Region ◽  
Head Region ◽  
Differential Effects ◽  
Severe Tbi

Background: In hospital-based studies, hypotension (HT, SBP <90) is more likely to occur in multisystem traumatic brain injury (MTBI) than isolated (ITBI). However, there are few EMS studies on this issue. Hypothesis: Prehospital HT is associated with differential effects in MTBI and ITBI and these effects are influenced by the severity of primary brain injury. Methods: Inclusion: TBI cases in the EPIC Study (NIH 1R01NS071049) before TBI guideline implementation (1/07-3/14). ITBI: Major TBI cases (CDC Barell Matrix Type 1) that had no injury with ICD9-based Regional Severity Score [RSS (AIS equivalent)] ≥3 in any other body region. MTBI: Type 1 TBI plus at least one non-head region injury with RSS ≥3. Results: Included were 13,435 cases [Excl: age <10 (5.9%), missing data (6.2%)]. 10,374 (77.2%) were ITBI, 3061 (22.8%) MTBI. Mortality: ITBI: 7.7% (797/10,374), MTBI: 19.2% (587/3061, p<0.0001). Prehospital HT occurred 3.5 times more often in MTBI (14.8%, 453/3061 vs 4.2%, 437/10,374; p<0.0001). Among HT cases, 40.8% (185/453) with MTBI died vs 30.9% with ITBI (135/437; p<0.0001). In the hypotensive moderate/severe TBI cohort (RSS-Head 3/4), MTBI mortality was 2.4 times higher (17.2%, 40/232) than ITBI (7.1%, 17/240, p = 0.001). However, in the hypotensive very/extremely severe TBI group (RSS-Head 5/6), mortality was almost identical in MTBI (73.4%, 141/192) and ITBI (72.1%, 116/161, p = 0.864). Conclusion: Among major TBI patients with prehospital HT, those with MTBI were much more likely to die than those with ITBI. However, this association varied dramatically with TBI severity. In mod/severe TBI cases with HT, MTBI mortality was 2.4 times higher than in ITBI. In contrast, in very/extremely severe TBI with HT, there was no identifiable mortality difference. Thus, in cases with substantial potential to survive the primary brain injury (mod/severe), outcome is markedly worse in patients with multisystem injuries. However, in very/extremely severe TBI, non-head region injuries have no apparent association with mortality. This may be because the TBI is the primary factor leading to death in these cases. The main EPIC study is evaluating whether this severity-based difference in “effect” has implications for TBI guideline treatment effectiveness.

White Matter Disruption in Pediatric Traumatic Brain Injury: Results from ENIGMA Pediatric Moderate to Severe Traumatic Brain Injury

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012222
Author(s):  
Emily L Dennis ◽  
Karen Caeyenberghs ◽  
Kristen R Hoskinson ◽  
Tricia L Merkley ◽  
Stacy J Suskauer ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Behavioral Problems ◽  
Child Behavior Checklist ◽  
Injury Severity ◽  
Meta Analysis ◽  
Post Injury ◽  
Severe Tbi ◽  
Future Work

Objective:Our study addressed aims: (1) test the hypothesis that moderate-severe TBI in pediatric patients is associated with widespread white matter (WM) disruption; (2) test the hypothesis that age and sex impact WM organization after injury; and (3) examine associations between WM organization and neurobehavioral outcomes.Methods:Data from ten previously enrolled, existing cohorts recruited from local hospitals and clinics were shared with the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Pediatric msTBI working group. We conducted a coordinated analysis of diffusion MRI (dMRI) data using the ENIGMA dMRI processing pipeline.Results:Five hundred and seven children and adolescents (244 with complicated mild to severe TBI [msTBI] and 263 controls) were included. Patients were clustered into three post-injury intervals: acute/subacute - <2 months, post-acute - 2-6 months, chronic - 6+ months. Outcomes were dMRI metrics and post-injury behavioral problems as indexed by the Child Behavior Checklist (CBCL). Our analyses revealed altered WM diffusion metrics across multiple tracts and all post-injury intervals (effect sizes ranging between d=-0.5 to -1.3). Injury severity is a significant contributor to the extent of WM alterations but explained less variance in dMRI measures with increasing time post-injury. We observed a sex-by-group interaction: females with TBI had significantly lower fractional anisotropy in the uncinate fasciculus than controls (𝞫=0.043), which coincided with more parent-reported behavioral problems (𝞫=-0.0027).Conclusions:WM disruption after msTBI is widespread, persistent, and influenced by demographic and clinical variables. Future work will test techniques for harmonizing neurocognitive data, enabling more advanced analyses to identify symptom clusters and clinically-meaningful patient subtypes.

306 GCS Does Not Predict Cognitive Outcome 30 Years After Severe Traumatic Brain Injury

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 264-265
Author(s):  
Molly E Hubbard ◽  
Abdullah Bin Zahid ◽  
Gabrielle Meyer ◽  
Kathleen Vonderhaar ◽  
David Y Balser ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Assessment Tool ◽  
Cognitive Status ◽  
Cognitive Outcomes ◽  
Cognitive Outcome ◽  
Symptom Severity Score ◽  
History Of ◽  
Severe Tbi

Abstract INTRODUCTION Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in the US. The effects of TBI on quality of life may not become apparent for years after the injury. There are conflicting reports in the literature regarding long term outcomes. Physicians are often asked to predict long term functional and cognitive outcomes, with limited data available. METHODS Patients with severe TBI (GCS = 9) who previously participated in a clinical trial during the 1980s were followed up with and compared to healthy controls without history of TBI. A health questionnaire, sports concussion assessment tool version 3 (SCAT3) and the Telephone Interview for Cognitive Status-modified (TICS-m) were completed over the phone and compared with controls using t-test. GCS at admission and 12-month GRS were used to predict to TICS-M at 30 years using linear regression. RESULTS >45 of the initial 168 subjects were confirmed alive, and 37 (13 females; mean age: 52.43 years S.D. 10.7) consented. Controls (n = 58; 23 females; mean age = 54 years, S.D. 11.5) had lower symptom severity score (6.7 S.D. 12.6 versus 20.6 S.D. 25.3; P = 0.005), lower total number of symptoms (3.4 S.D. 4.7 versus 7.12 S.D. 6.5; P = 0.006), higher standardized assessment of concussion score (25.6 S.D. 2.8 versus 21.2 S.D. 6.9; P = 0.001), and lower corrected MPAI-4 (22.3 S.D. 17.0 versus 43.7 S.D. 12.8; P < 0.001). GCS at admission did not predict cognitive status at 30-years assessed using TICS-M (P = 0.345). The Glasgow Outcome Scale score at 12-months was correlated to TICS-M at 30 years (R = 0.548, P < 0.001); each point decrease in GOS decreasing the score at TICS-M by 5.6 points. CONCLUSION Remote history of TBI disrupts the lives of survivors long after injury. Admission GCS does not predict cognitive status 30 years after TBI. The GOS at 12-months predicted the cognitive status assessed using TICS-M score at 30 years.

scholarly journals A-116 Predicting Chronic Neurobehavioral Symptoms based on Acute Injury Characteristics and Symptoms in U.S. Military Service Members with and without history of TBI

2020 ◽  
Vol 35 (6) ◽  
pp. 909-909
Author(s):  
Lippa S ◽  
Bailie J ◽  
Brickell T ◽  
French L ◽  
Hungerford L ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Military Service ◽  
Service Members ◽  
Injury Characteristics ◽  
Military Service Members ◽  
History Of ◽  
Neurobehavioral Symptoms ◽  
Severe Tbi

Abstract Objective Recovery following traumatic brain injury (TBI) is complex. Often following mild TBI, recovery occurs within days or weeks, though this is not always the case. Following more severe TBI, some recover quickly, while many never fully recover. This study examines acute predictors of chronic neurobehavioral symptoms in U.S. military service members (Age: M = 33.9 years, SD = 10.2) without injury (n = 86), or with history of uncomplicated mild traumatic brain injury (TBI; n = 56), complicated mild, moderate, or severe TBI (mod-sev TBI; n = 43), or bodily injury (n = 25). Method Participants completed the Neurobehavioral Symptom Inventory (NSI), Posttraumatic Stress Disorder Checklist, Alcohol Use Disorder Checklist, Combat Exposure Scale, and TBI Quality of Life and passed symptom validity tests at 0–8 months and ≥ 2 years post-injury. Forward stepwise logistic regression included 26 potential predictors (demographics, injury characteristics, military characteristics, and self-report measures at baseline) of International Statistical Classification of Diseases and Related Health Problems-10 Postconcussional Syndrome (PCSy) at follow-up. Results Cognitive Concerns (Exp(B) = .896, p = .001), Sleep (Exp(B) = 1.874, p &lt; .001), Somatosensory Symptoms (Exp(B) = 1.194, p = .012), and mod-sev TBI (Exp(B) = 2.959, p = .045) significantly predicted follow-up PCSy. When baseline NSI symptoms were removed from the model, Cognitive Concerns (Exp(B) = .902, p &lt; .001), Post-traumatic stress (Exp(B) = 1.173, p = .001), and Resilience (Exp(B) = .950, p &lt; .031) significantly predicted PCSy. For all included measures in both models, higher symptoms at baseline predicted increased likelihood of follow-up PCSy. Both models correctly classified 81.3% of participants. Conclusion Findings suggest patients reporting psychological distress and cognitive concerns acutely should be targeted for treatment to mitigate prolonged neurobehavioral symptoms.

scholarly journals Traumatic brain injury—the effects of patient age on treatment intensity and mortality

BMC Neurology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ola Skaansar ◽  
Cathrine Tverdal ◽  
Pål Andre Rønning ◽  
Karoline Skogen ◽  
Tor Brommeland ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Head Injury ◽  
Injury Severity ◽  
Age Groups ◽  
Composite Score ◽  
Increased Risk ◽  
Management Intensity ◽  
Treatment Bias ◽  
Head Injury Severity

Abstract Background Ageing is associated with worse treatment outcome after traumatic brain injury (TBI). This association may lead to a self-fulfilling prophecy that affects treatment efficacy. The aim of the current study was to evaluate the role of treatment bias in patient outcomes by studying the intensity of diagnostic procedures, treatment, and overall 30-day mortality in different age groups of patients with TBI. Methods Included in this study was consecutively admitted patients with TBI, aged ≥ 15 years, with a cerebral CT showing intracranial signs of trauma, during the time-period between 2015–2018. Data were extracted from our prospective quality control registry for admitted TBI patients. As a measure of management intensity in different age groups, we made a composite score, where placement of intracranial pressure monitor, ventilator treatment, and evacuation of intracranial mass lesion each gave one point. Uni- and multivariate survival analyses were performed using logistic multinomial regression. Results A total of 1,571 patients with TBI fulfilled the inclusion criteria. The median age was 58 years (range 15–98), 70% were men, and 39% were ≥ 65 years. Head injury severity was mild in 706 patients (45%), moderate in 437 (28%), and severe in 428 (27%). Increasing age was associated with less management intensity, as measured using the composite score, irrespective of head injury severity. Multivariate analyses showed that the following parameters had a significant association with an increased risk of death within 30 days of trauma: increasing age, severe comorbidities, severe TBI, Rotterdam CT-score ≥ 3, and low management intensity. Conclusion The present study indicates that the management intensity of hospitalised patients with TBI decreased with advanced age and that low management intensity was associated with an increased risk of 30-day mortality. This suggests that the high mortality among elderly TBI patients may have an element of treatment bias and could in the future be limited with a more aggressive management regime.

scholarly journals PET Imaging of Neurodegeneration With [18F]AV-1451 PET After Repetitive Traumatic Brain Injury

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Matthew Mesley ◽  
Ross Puffer ◽  
Charles Laymon ◽  
Brian Lopresti ◽  
Kathryn Edelman ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Pet Imaging ◽  
Neuropsychological Test ◽  
Neuropsychological Testing ◽  
Uptake Pattern ◽  
Increased Risk ◽  
History Of

Abstract INTRODUCTION TBI (traumatic brain injury) is associated with an increased risk of late neurodegeneration in chronic TBI survivors. The underlying pathophysiology of trauma-related neurodegeneration is hypothesized to involve a tauopathy, with p-tau deposited in beta-pleated sheets. Current research focuses on identifying strategies to detect trauma-related neurodegeneration in-Vivo. [F-18]AV-1451, a tau-specific PET radiotracer, may detect hyper-phosphorylated tau deposits in living patients. METHODS Participants with a history of TBI >6 mo prior with concern for cognitive decline with age-matched controls were recruited. Subjects were classified into three groups: few (=3 TBI exposures), intermediate (4–10 exposures), and numerous (>10 exposures). Participants underwent PET imaging with [F-18]AV-1451, and qualitative and semi-quantitative (SUVR) analyses of radiotracer retention were performed. Visual classification of tau positivity (+/−) was performed with absence of established positivity thresholds for [F-18]AV-1451 SUVR values. All subjects underwent neuropsychological evaluation, including measures of processing speed, executive function, and memory. RESULTS Twenty-seven TBI subjects and 7 controls were enrolled. A total of 9 participants were categorized as few, 2 as intermediate, 7 as numerous. All TBI subjects demonstrated impairment on at least one neurocognitive measure, while control subjects had normal neuropsychological test results. Analysis of [F-18]AV-1451 uptake patterns demonstrated evidence of tauopathy in 3 subjects, based on visual reads. Significantly increased [F-18]AV-1451 retention was noted in occipital gray matter, posterior cingulate gyrus, and parietal cortex in these 3 tau (+) TBI subjects compared to 24 TBI subjects visually classified as tau (−) and also normal controls. CONCLUSION Evidence of tauopathy, indicative of trauma-related neurodegeneration, was noted in 3 chronic TBI subjects, all of whom were categorized as numerous (>10) TBI exposures and cognitive deficits on neuropsychological testing. No tau PET [F-18]AV-1451 uptake was noted in control participants or in participants categorized as few or intermediate. The data represent a possible [F-18]AV-1451 PET uptake pattern associated with a clinical neurodegeneration syndrome in repetitive TBI.

Chemoprophylaxis and Venous Thromboembolism in Traumatic Brain Injury at Different Trauma Centers

2020 ◽  
Vol 86 (4) ◽  
pp. 362-368
Author(s):  
Eric O. Yeates ◽  
Areg Grigorian ◽  
Sebastian D. Schubl ◽  
Catherine M. Kuza ◽  
Victor Joe ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Venous Thromboembolism ◽  
Brain Injury ◽  
Trauma Centers ◽  
Improvement Program ◽  
Level Ii ◽  
Increased Risk ◽  
Scale Scores ◽  
Severe Tbi ◽  
Level I

Patients with severe traumatic brain injury (TBI) are at an increased risk of venous thromboembolism (VTE). Because of concerns of worsening intracranial hemorrhage, clinicians are hesitant to start VTE chemoprophylaxis in this population. We hypothesized that ACS Level I trauma centers would be more aggressive with VTE chemoprophylaxis in adults with severe TBI than Level II centers. We also predicted that Level I centers would have a lower risk of VTE. We queried the Trauma Quality Improvement Program (2010–2016) database for patients with Abbreviated Injury Scale scores of 4 and 5 of the head and compared them based on treating the hospital trauma level. Of 204,895 patients with severe TBI, 143,818 (70.2%) were treated at Level I centers and 61,077 (29.8%) at Level II centers. The Level I cohort had a higher rate of VTE chemoprophylaxis use (43.2% vs 23.3%, P < 0.001) and a shorter median time to chemoprophylaxis (61.9 vs 85.9 hours, P < 0.001). Although Level I trauma centers started VTE chemoprophylaxis more often and earlier than Level II centers, there was no difference in the risk of VTE ( P = 0.414) after controlling for covariates. Future prospective studies are warranted to evaluate the timing, safety, and efficacy of early VTE chemoprophylaxis in severe TBI patients.

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