Literature DB >> 27805992

Volumetric analysis of day of injury computed tomography is associated with rehabilitation outcomes after traumatic brain injury.

Sarah Majercik1, Joseph Bledsoe, David Ryser, Ramona O Hopkins, Joseph E Fair, R Brock Frost, Joel MacDonald, Ryan Barrett, Susan Horn, David Pisani, Erin D Bigler, Scott Gardner, Mark Stevens, Michael J Larson.   

Abstract

BACKGROUND: Day-of-injury (DOI) brain lesion volumes in traumatic brain injury (TBI) patients are rarely used to predict long-term outcomes in the acute setting. The purpose of this study was to investigate the relationship between acute brain injury lesion volume and rehabilitation outcomes in patients with TBI at a level one trauma center.
METHODS: Patients with TBI who were admitted to our rehabilitation unit after the acute care trauma service from February 2009-July 2011 were eligible for the study. Demographic data and outcome variables including cognitive and motor Functional Independence Measure (FIM) scores, length of stay (LOS) in the rehabilitation unit, and ability to return to home were obtained. The DOI quantitative injury lesion volumes and degree of midline shift were obtained from DOI brain computed tomography scans. A multiple stepwise regression model including 13 independent variables was created. This model was used to predict postrehabilitation outcomes, including FIM scores and ability to return to home. A p value less than 0.05 was considered significant.
RESULTS: Ninety-six patients were enrolled in the study. Mean age was 43 ± 21 years, admission Glasgow Coma Score was 8.4 ± 4.8, Injury Severity Score was 24.7 ± 9.9, and head Abbreviated Injury Scale score was 3.73 ± 0.97. Acute hospital LOS was 12.3 ± 8.9 days, and rehabilitation LOS was 15.9 ± 9.3 days. Day-of-injury TBI lesion volumes were inversely associated with cognitive FIM scores at rehabilitation admission (p = 0.004) and discharge (p = 0.004) and inversely associated with ability to be discharged to home after rehabilitation (p = 0.006).
CONCLUSION: In a cohort of patients with moderate to severe TBI requiring a rehabilitation unit stay after the acute care hospital stay, DOI brain injury lesion volumes are associated with worse cognitive FIM scores at the time of rehabilitation admission and discharge. Smaller-injury volumes were associated with eventual discharge to home. Volumetric neuroimaging in the acute injury phase may improve surgeons' ultimate outcome predictions in TBI patients. LEVEL OF EVIDENCE: Prognostic/epidemiologic study, level V.

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Year:  2017        PMID: 27805992      PMCID: PMC5177466          DOI: 10.1097/TA.0000000000001263

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  30 in total

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Authors:  Mark Sherer; Josephine Stouter; Tessa Hart; Risa Nakase-Richardson; Jake Olivier; Edward Manning; Stuart A Yablon
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2.  Regional cortical volume and cognitive functioning following traumatic brain injury.

Authors:  Gershon Spitz; Erin D Bigler; Tracy Abildskov; Jerome J Maller; Richard O'Sullivan; Jennie L Ponsford
Journal:  Brain Cogn       Date:  2013-07-18       Impact factor: 2.310

3.  Predicting outcome in traumatic brain injury: development of a novel computerized tomography classification system (Helsinki computerized tomography score).

Authors:  Rahul Raj; Jari Siironen; Markus B Skrifvars; Juha Hernesniemi; Riku Kivisaari
Journal:  Neurosurgery       Date:  2014-12       Impact factor: 4.654

4.  Day-of-injury computerized tomography, rehabilitation status, and development of cerebral atrophy in persons with traumatic brain injury.

Authors:  Erin D Bigler; David K Ryser; Partha Gandhi; Jordan Kimball; Elisabeth A Wilde
Journal:  Am J Phys Med Rehabil       Date:  2006-10       Impact factor: 2.159

5.  Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors.

Authors:  Andrew I R Maas; Chantal W P M Hukkelhoven; Lawrence F Marshall; Ewout W Steyerberg
Journal:  Neurosurgery       Date:  2005-12       Impact factor: 4.654

6.  Predicting 14-day mortality after severe traumatic brain injury: application of the IMPACT models in the brain trauma foundation TBI-trac® New York State database.

Authors:  Bob Roozenbeek; Ya-Lin Chiu; Hester F Lingsma; Linda M Gerber; Ewout W Steyerberg; Jamshid Ghajar; Andrew I R Maas
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7.  Application and clinical utility of the Glasgow Coma Scale over time: a study employing the NIDRR traumatic brain injury model systems database.

Authors:  Marie D Barker; John Whyte; Christopher R Pretz; Mark Sherer; Nancy Temkin; Flora M Hammond; Zabedah Saad; Thomas Novack
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8.  Comorbidity and insurance as predictors of disability after traumatic brain injury.

Authors:  Elmar Gardizi; Robin A Hanks; Scott R Millis; Maritza J Figueroa
Journal:  Arch Phys Med Rehabil       Date:  2014-06-24       Impact factor: 3.966

9.  Neuropsychological functioning in a national cohort of severe traumatic brain injury: demographic and acute injury-related predictors.

Authors:  Solrun Sigurdardottir; Nada Andelic; Eike Wehling; Cecilie Roe; Audny Anke; Toril Skandsen; Oyvor O Holthe; Tone Jerstad; Per M Aslaksen; Anne-Kristine Schanke
Journal:  J Head Trauma Rehabil       Date:  2015 Mar-Apr       Impact factor: 2.710

10.  Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.

Authors:  Ewout W Steyerberg; Nino Mushkudiani; Pablo Perel; Isabella Butcher; Juan Lu; Gillian S McHugh; Gordon D Murray; Anthony Marmarou; Ian Roberts; J Dik F Habbema; Andrew I R Maas
Journal:  PLoS Med       Date:  2008-08-05       Impact factor: 11.069

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  2 in total

1.  Acute Imaging Findings Predict Recovery of Cognitive and Motor Function after Inpatient Rehabilitation for Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study.

Authors:  Eric T Caliendo; Nayoung Kim; David Edasery; Gulce Askin; Sophie Nowak; Linda M Gerber; Katherine T Baum; Laura S Blackwell; Christine H Koterba; Kristen R Hoskinson; Brad G Kurowski; Matthew McLaughlin; Sarah J Tlustos; William D Watson; Sumit N Niogi; Stacy J Suskauer; Sudhin A Shah
Journal:  J Neurotrauma       Date:  2021-03-01       Impact factor: 4.869

2.  Day-of-Injury Computed Tomography and Longitudinal Rehabilitation Outcomes: A Comparison of the Marshall and Rotterdam Computed Tomography Scoring Methods.

Authors:  Kayla M Frodsham; Joseph E Fair; R Brock Frost; Ramona O Hopkins; Erin D Bigler; Sarah Majercik; Joseph Bledsoe; David Ryser; Joel MacDonald; Ryan Barrett; Susan D Horn; David Pisani; Mark Stevens; Michael J Larson
Journal:  Am J Phys Med Rehabil       Date:  2020-09       Impact factor: 3.412

  2 in total

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