scholarly journals Prospective, Head-to-Head Study of Three Computerized Neurocognitive Assessment Tools Part 2: Utility for Assessment of Mild Traumatic Brain Injury in Emergency Department Patients

2017 ◽  
Vol 23 (4) ◽  
pp. 293-303 ◽  
Author(s):  
Lindsay D. Nelson ◽  
Robyn E. Furger ◽  
Peter Gikas ◽  
E. Brooke Lerner ◽  
William B. Barr ◽  
...  

AbstractObjectives: The aim of this study was to evaluate the reliability and validity of three computerized neurocognitive assessment tools (CNTs; i.e., ANAM, DANA, and ImPACT) for assessing mild traumatic brain injury (mTBI) in patients recruited through a level I trauma center emergency department (ED). Methods: mTBI (n=94) and matched trauma control (n=80) subjects recruited from a level I trauma center emergency department completed symptom and neurocognitive assessments within 72 hr of injury and at 15 and 45 days post-injury. Concussion symptoms were also assessed via phone at 8 days post-injury. Results: CNTs did not differentiate between groups at any time point (e.g., M 72-hr Cohen’s d=−.16, .02, and .00 for ANAM, DANA, and ImPACT, respectively; negative values reflect greater impairment in the mTBI group). Roughly a quarter of stability coefficients were over .70 across measures and test–retest intervals in controls. In contrast, concussion symptom score differentiated mTBI vs. control groups acutely), with this effect size diminished over time (72-hr and day 8, 15, and 45 Cohen’s d=−.78, −.60, −.49, and −.35, respectively). Conclusions: The CNTs evaluated, developed and widely used to assess sport-related concussion, did not yield significant differences between patients with mTBI versus other injuries. Symptom scores better differentiated groups than CNTs, with effect sizes weaker than those reported in sport-related concussion studies. Nonspecific injury factors, and other characteristics common in ED settings, likely affect CNT performance across trauma patients as a whole and thereby diminish the validity of CNTs for assessing mTBI in this patient population. (JINS, 2017, 23, 293–303)

2018 ◽  
Vol 84 (11) ◽  
pp. 1832-1835 ◽  
Author(s):  
Sean P. Geary ◽  
Maria R. Brown ◽  
Christopher Decker ◽  
Lisa M. Angotti ◽  
Ashar Ata ◽  
...  

Trauma patients admitted to the intensive care unit are a unique population with high mortality. This study aims to identify characteristics predicting the likelihood of progressing to palliative management often referred to as comfort care measures, thus enabling the trauma team to broach end-of-life decisions earlier in these patients’ care. This is a retrospective analysis of the prospectively collected New York State Trauma Registry database for a single Level I trauma center for patients admitted from 2008 to 2015. During this time, a total of 13,662 patients were admitted to the trauma service and there were 827 deaths, resulting in a crude annual mortality rate of approximately 6 per cent. Approximately one-half of the total mortalities, 404 of 827 (48.9%), were ultimately designated as comfort care. Univariate analysis identified the following risk factors for comfort care designation: advanced age, multiple comorbidities, blunt trauma mechanism, traumatic brain injury, and admission location. Multivariate analysis confirmed advanced age and traumatic brain injury. Subgroup analysis also identified advanced directives, pre-existing dementia, and bleeding disorders as significant associations with comfort care designation. The identification of factors predicting comfort care will result in improved care planning and resource utilization.


Author(s):  
Veronik Sicard ◽  
Danielle C. Hergert ◽  
Sharvani Pabbathi Reddy ◽  
Cidney R. Robertson-Benta ◽  
Andrew B. Dodd ◽  
...  

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.


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