Association between cognitive performance and functional outcome following traumatic brain injury: A longitudinal multilevel examination.

2012 ◽  
Vol 26 (5) ◽  
pp. 604-612 ◽  
Author(s):  
Gershon Spitz ◽  
Jennie L. Ponsford ◽  
Dion Rudzki ◽  
Jerome J. Maller
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Outcome ◽  
Cognitive Performance

One-year costs of intensive care in pediatric patients with traumatic brain injury

2021 ◽  
Vol 27 (1) ◽  
pp. 79-86
Author(s):  
Era D. Mikkonen ◽  
Markus B. Skrifvars ◽  
Matti Reinikainen ◽  
Stepani Bendel ◽  
Ruut Laitio ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Intensive Care ◽  
Brain Injury ◽  
Social Security ◽  
Functional Outcome ◽  
Injury Severity ◽  
Pediatric Population ◽  
Favorable Outcome ◽  
Index Hospitalization ◽  
Pediatric Tbi

OBJECTIVETraumatic brain injury (TBI) is a major cause of death and disability in the pediatric population. The authors assessed 1-year costs of intensive care in pediatric TBI patients.METHODSIn this retrospective multicenter cohort study of four academic ICUs in Finland, the authors used the Finnish Intensive Care Consortium database to identify children aged 0–17 years treated for TBI in ICUs between 2003 and 2013. The authors reviewed all patient health records and head CT scans for admission, treatment, and follow-up data. Patient outcomes included functional outcome (favorable outcome defined as a Glasgow Outcome Scale score of 4–5) and death within 6 months. Costs included those for the index hospitalization, rehabilitation, and social security up to 1 year after injury. To assess costs, the authors calculated the effective cost per favorable outcome (ECPFO).RESULTSIn total, 293 patients were included, of whom 61% had moderate to severe TBI (Glasgow Coma Scale [GCS] score 3–12) and 40% were ≥ 13 years of age. Of all patients, 82% had a favorable outcome and 9% died within 6 months of injury. The mean cost per patient was €48,719 ($54,557) (95% CI €41,326–€56,112). The index hospitalization accounted for 66%, rehabilitation costs for 27%, and social security costs for 7% of total healthcare costs. The ECPFO was €59,727 ($66,884) (95% CI €52,335–€67,120). A higher ECPFO was observed among patients with clinical and treatment-related variables indicative of parenchymal swelling and high intracranial pressure. Lower ECPFO was observed among patients with higher admission GCS scores and those who had epidural hematomas.CONCLUSIONSGreater injury severity increases ECPFO and is associated with higher postdischarge costs in pediatric TBI patients. In this pediatric cohort, over two-thirds of all resources were spent on patients with favorable functional outcome, indicating appropriate resource allocation.

GCS-Pupil Score Has a Stronger Association with Mortality and Poor Functional Outcome than GCS Alone in Pediatric Severe Traumatic Brain Injury

2021 ◽  
pp. 1-8
Author(s):  
Binod Balakrishnan ◽  
Heather VanDongen-Trimmer ◽  
Irene Kim ◽  
Sheila J. Hanson ◽  
Liyun Zhang ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Outcome ◽  
Cerebral Performance Category ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Continuous Variables ◽  
Poor Functional Outcome ◽  
Severity Scores ◽  
Pupil Reactivity

<b><i>Background:</i></b> The Glasgow Coma Scale (GCS), used to classify the severity of traumatic brain injury (TBI), is associated with mortality and functional outcomes. However, GCS can be affected by sedation and neuromuscular blockade. GCS-Pupil (GCS-P) score, calculated as GCS minus Pupil Reactivity Score (PRS), was shown to better predict outcomes in a retrospective cohort of adult TBI patients. We evaluated the applicability of GCS-P to a large retrospective pediatric severe TBI (sTBI) cohort. <b><i>Methods:</i></b> Admissions to pediatric intensive care units in the Virtual Pediatric Systems (VPS, LLC) database from 2010 to 2015 with sTBI were included. We collected GCS, PRS (number of nonreactive pupils), cardiac arrest, abusive head trauma status, illness severity scores, pediatric cerebral performance category (PCPC) score, and mortality. GCS-P was calculated as GCS minus PRS. χ<sup>2</sup> or Fisher’s exact test and Mann-Whitney U test compared categorical and continuous variables, respectively. Classification and regression tree analysis identified thresholds of GCS-P and GCS along with other independent factors which were further examined using multivariable regression analysis to identify factors independently associated with mortality and unfavorable PCPC at PICU discharge. <b><i>Results:</i></b> Among the 2,682 patients included in the study, mortality was 23%, increasing from 4.7% for PRS = 0 to 80% for PRS = 2. GCS-P identified more severely injured patients with GCS-P scores 1 and 2 who had worse outcomes. GCS-P ≤ 2 had higher odds for mortality, OR = 68.4 (95% CI = 50.6–92.4) and unfavorable PCPC, OR = 17.3 (8.1, 37.0) compared to GCS ≤ 5. GCS-P ≤ 2 also had higher specificity and positive predictive value for both mortality and unfavorable PCPC compared to GCS ≤ 5. <b><i>Conclusions:</i></b> GCS-P, by incorporating pupil reactivity to GCS scoring, is more strongly associated with mortality and poor functional outcome at PICU discharge in children with sTBI.

Severity of Ongoing Post-Concussive Symptoms as a Predictor of Cognitive Performance Following a Pediatric Mild Traumatic Brain Injury

2020 ◽  
pp. 1-11
Author(s):  
Veronik Sicard ◽  
Danielle C. Hergert ◽  
Sharvani Pabbathi Reddy ◽  
Cidney R. Robertson-Benta ◽  
Andrew B. Dodd ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Cognitive Performance ◽  
Mild Traumatic Brain Injury ◽  
Parental Education ◽  
Visual Learning ◽  
Learning Task ◽  
Risk Scores ◽  
Group Differences ◽  
Post Injury

Abstract Objective: This study aimed to examine the predictors of cognitive performance in patients with pediatric mild traumatic brain injury (pmTBI) and to determine whether group differences in cognitive performance on a computerized test battery could be observed between pmTBI patients and healthy controls (HC) in the sub-acute (SA) and the early chronic (EC) phases of injury. Method: 203 pmTBI patients recruited from emergency settings and 159 age- and sex-matched HC aged 8–18 rated their ongoing post-concussive symptoms (PCS) on the Post-Concussion Symptom Inventory and completed the Cogstate brief battery in the SA (1–11 days) phase of injury. A subset (156 pmTBI patients; 144 HC) completed testing in the EC (∼4 months) phase. Results: Within the SA phase, a group difference was only observed for the visual learning task (One-Card Learning), with pmTBI patients being less accurate relative to HC. Follow-up analyses indicated higher ongoing PCS and higher 5P clinical risk scores were significant predictors of lower One-Card Learning accuracy within SA phase, while premorbid variables (estimates of intellectual functioning, parental education, and presence of learning disabilities or attention-deficit/hyperactivity disorder) were not. Conclusions: The absence of group differences at EC phase is supportive of cognitive recovery by 4 months post-injury. While the severity of ongoing PCS and the 5P score were better overall predictors of cognitive performance on the Cogstate at SA relative to premorbid variables, the full regression model explained only 4.1% of the variance, highlighting the need for future work on predictors of cognitive outcomes.

Early versus late decompressive craniectomy in traumatic brain injury: A retrospective comparative case study

Trauma ◽  
2020 ◽  
pp. 146040862093576
Author(s):  
Nida Fatima ◽  
Mujeeb-Ur-Rehman ◽  
Samia Shaukat ◽  
Ashfaq Shuaib ◽  
Ali Raza ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Regression Analysis ◽  
Brain Injury ◽  
Functional Outcome ◽  
Decompressive Craniectomy ◽  
Univariate Analysis ◽  
Timing Of Surgery ◽  
Comparative Case Study ◽  
Outcome Parameters ◽  
Good Functional Outcome

Objectives Decompressive craniectomy is a last-tier therapy in the treatment of raised intracranial pressure after traumatic brain injury. We report the association of demographic, radiographic, and injury characteristics with outcome parameters in early (<24 h) and late (≥24 h) decompressive craniectomy following traumatic brain injury. Methods We retrospectively identified 204 patients (158 (early decompressive craniectomy) and 46 (late decompressive craniectomy)), with a median age of 34 years (range 2–78 years) between 2015 and 2018. The primary endpoint was Glasgow Outcome Scale Extended (GOSE) at 60 days, while secondary endpoints included Glasgow Coma Score (GCS) at discharge, mortality at 30 days, and length of hospital stay. Regression analysis was used to assess the independent predictive variables of functional outcome. Results With a clinical follow-up of 60 days, the good functional outcome (GOSE = 5–8) was 73.5% versus 74.1% (p = 0.75) in early and late decompressive craniectomy, respectively. GCS ≥ 9 at discharge was 82.2% versus 91.3% (p = 0.21), mortality at 30 days was 10.8% versus 8.7% (p = 0.39), and length of stay in the hospital was 21 days versus 28 days (p = 0.20), respectively, in early and late decompressive craniectomy groups. Univariate analysis identified that GCS at admission (0.07 (0.32–0.18; < 0.05)) and indication for decompressive craniectomy (3.7 (1.3–11.01; 0.01)) are significantly associated with good functional outcome. Multivariate regression analysis revealed that GCS at admission (<9/≥9) (0.07 (0.03–0.16; <0.05)) and indication for decompressive craniectomy (extradural alone/ other hematoma) (1.75 (1.09–3.25; 0.02)) were significant independent predictors of good functional outcome irrespective of the timing of surgery. Conclusions Our results corroborate that the timing of surgery does not affect the outcome parameters. Furthermore, GCS ≥ 9 and/or extra dural hematoma are associated with relatively good clinical outcome after decompressive craniectomy.

Timing of Surgery After Multisystem Injury With Traumatic Brain Injury: Effect on Neuropsychological and Functional Outcome

2007 ◽  
Vol 62 (5) ◽  
pp. 1250-1258 ◽  
Author(s):  
Marjorie C. Wang ◽  
Nancy R. Temkin ◽  
Richard A. Deyo ◽  
Gregory J. Jurkovich ◽  
Jason Barber ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Outcome ◽  
Timing Of Surgery

scholarly journals Self-Reported Complaints as Prognostic Markers for Outcome After Mild Traumatic Brain Injury in Elderly: A Machine Learning Approach

2021 ◽  
Vol 12 ◽  
Author(s):  
Mayra Bittencourt ◽  
Sebastián A. Balart-Sánchez ◽  
Natasha M. Maurits ◽  
Joukje van der Naalt
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Elderly Patients ◽  
Neck Pain ◽  
Functional Outcome ◽  
Mild Traumatic Brain Injury ◽  
Prognostic Markers ◽  
The Elderly ◽  
Post Injury

Self-reported complaints are common after mild traumatic brain injury (mTBI). Particularly in the elderly with mTBI, the pre-injury status might play a relevant role in the recovery process. In most mTBI studies, however, pre-injury complaints are neither analyzed nor are the elderly included. Here, we aimed to identify which individual pre- and post-injury complaints are potential prognostic markers for incomplete recovery (IR) in elderly patients who sustained an mTBI. Since patients report many complaints across several domains that are strongly related, we used an interpretable machine learning (ML) approach to robustly deal with correlated predictors and boost classification performance. Pre- and post-injury levels of 20 individual complaints, as self-reported in the acute phase, were analyzed. We used data from two independent studies separately: UPFRONT study was used for training and validation and ReCONNECT study for independent testing. Functional outcome was assessed with the Glasgow Outcome Scale Extended (GOSE). We dichotomized functional outcome into complete recovery (CR; GOSE = 8) and IR (GOSE ≤ 7). In total 148 elderly with mTBI (median age: 67 years, interquartile range [IQR]: 9 years; UPFRONT: N = 115; ReCONNECT: N = 33) were included in this study. IR was observed in 74 (50%) patients. The classification model (IR vs. CR) achieved a good performance (the area under the receiver operating characteristic curve [ROC-AUC] = 0.80; 95% CI: 0.74–0.86) based on a subset of only 8 out of 40 pre- and post-injury complaints. We identified increased neck pain (p = 0.001) from pre- to post-injury as the strongest predictor of IR, followed by increased irritability (p = 0.011) and increased forgetfulness (p = 0.035) from pre- to post-injury. Our findings indicate that a subset of pre- and post-injury physical, emotional, and cognitive complaints has predictive value for determining long-term functional outcomes in elderly patients with mTBI. Particularly, post-injury neck pain, irritability, and forgetfulness scores were associated with IR and should be assessed early. The application of an ML approach holds promise for application in self-reported questionnaires to predict outcomes after mTBI.

Functional outcome after violence related traumatic brain injury

Brain Injury ◽  
1997 ◽  
Vol 11 (6) ◽  
pp. 403-407 ◽  
Author(s):  
ROSS D. ZAFONTE, NANCY R. MANN, SCO
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Outcome

The Power of Perception: Beliefs About Memory Ability Uniquely Contribute to Memory Performance and Quality of Life in Adults Aging with Traumatic Brain Injury

2021 ◽  
Author(s):  
Umesh M. Venkatesan ◽  
Amanda Rabinowitz ◽  
Frank Hillary
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Traumatic Brain Injury ◽  
Psychological Distress ◽  
Brain Injury ◽  
Cognitive Performance ◽  
Memory Performance ◽  
Self Perceptions ◽  
Health Related

Objective. Personal beliefs about memory ability, which comprise memory self-efficacy (MSE), can influence memory performance in healthy older adults. Self-efficacy theory also predicts that MSE biases self-perceptions of functioning more globally, potentially impacting daily activity beyond cognitive performance. People with traumatic brain injury (PwTBI) frequently report debilitating memory problems long after acute recovery, but little is known about how MSE affects health outcomes in this population. We examined demographic and clinical correlates of MSE, as well as its relationship to memory test performance and health-related quality of life (QOL), in older adults with chronic moderate-to-severe TBI (msTBI). Method. One hundred fourteen adults, aged 50+ and at least one year post-msTBI, underwent neuropsychological testing to assess their memory functioning. Participants also self-reported levels of psychological distress, MSE (Cognitive Confidence subscale of the Metacognitions Questionnaire), and health-related QOL (Quality of Life after Brain Injury questionnaire). Results. Demographic and injury-related predictors showed weak correlations with MSE. Although the relationship between MSE and general psychological distress was robust, only the former significantly predicted memory performance. Bivariate analyses revealed significant relationships between MSE and five out of the six QOL domains assessed. Multivariate linear regression revealed a significant impact of MSE on overall QOL independent of demographic and clinical variables. Conclusions. Our findings support a unique role for MSE in both objective cognitive performance and subjective health of PwTBI. Increased focus on self-perceptions of ability and their impact on measured outcomes is an important step towards personalized rehabilitation for adults with chronic msTBI.

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