Literature DB >> 17375995

Prognostic value of computerized tomography scan characteristics in traumatic brain injury: results from the IMPACT study.

Andrew I R Maas1, Ewout W Steyerberg, Isabella Butcher, Ruben Dammers, Juan Lu, Anthony Marmarou, Nino A Mushkudiani, Gillian S McHugh, Gordon D Murray.   

Abstract

Computerized tomography (CT) scanning provides an objective assessment of the structural damage to the brain following traumatic brain injury (TBI). We aimed to describe and quantify the relationship between CT characteristics and 6-month outcome, assessed by the Glasgow Outcome Scale (GOS). Individual patient data from the IMPACT database were available on CT classification (N = 5209), status of basal cisterns ( N = 3861), shift ( N = 4698), traumatic subarachnoid hemorrhage (tSAH) ( N = 7407), and intracranial lesions ( N = 7613). We used binary logistic and proportional odds regression for prognostic analyses. The CT classification was strongly related to outcome, with worst outcome for patients with diffuse injuries in CT class III (swelling; OR 2.50; CI 2.09-3.0) or CT class IV (shift; OR 3.03; CI 2.12-4.35). The prognosis in patients with mass lesions was better for patients with an epidural hematoma (OR 0.64; CI 0.56-0.72) and poorer for an acute subdural hematoma (OR 2.14; CI 1.87-2.45). Partial obliteration of the basal cisterns (OR 2.45; CI 1.88-3.20), tSAH (OR 2.64; CI 2.42-2.89), or midline shift (1-5 mm-OR 1.36; CI 1.09-1.68); >5 mm-OR 2.20; CI 1.64-2.96) were strongly related to poorer outcome. Discrepancies were found between the scoring of basal cisterns/shift and the CT classification, indicating observer variation. These were less marked in studies that had used a central review process. Multivariable analysis indicated that individual CT characteristics added substantially to the prognostic value of the CT classification alone. We conclude that both the CT classification and individual CT characteristics are important predictors of outcome in TBI. For clinical trials, a central review process is advocated to minimize observer variability in CT assessment.

Entities:  

Mesh:

Year:  2007        PMID: 17375995     DOI: 10.1089/neu.2006.0033

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  61 in total

1.  Quantitative CT improves outcome prediction in acute traumatic brain injury.

Authors:  Esther L Yuh; Shelly R Cooper; Adam R Ferguson; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2011-12-08       Impact factor: 5.269

2.  Intracerebral hemorrhage and head trauma: common effects and common mechanisms of injury.

Authors:  William J Powers
Journal:  Stroke       Date:  2010-10       Impact factor: 7.914

Review 3.  New concepts in treatment of pediatric traumatic brain injury.

Authors:  Jimmy W Huh; Ramesh Raghupathi
Journal:  Anesthesiol Clin       Date:  2009-06

4.  Interobserver variability in the assessment of CT imaging features of traumatic brain injury.

Authors:  Kimberly A Chun; Geoffrey T Manley; Shirley I Stiver; Ashley H Aiken; Nicholas Phan; Vincent Wang; Michele Meeker; Su-Chun Cheng; A D Gean; Max Wintermark
Journal:  J Neurotrauma       Date:  2010-02       Impact factor: 5.269

Review 5.  Disorders of Consciousness in China.

Authors:  Jizong Zhao
Journal:  Neurosci Bull       Date:  2018-07-23       Impact factor: 5.203

6.  Motor vehicle crash-related subdural hematoma from real-world head impact data.

Authors:  Jillian E Urban; Christopher T Whitlow; Colston A Edgerton; Alexander K Powers; Joseph A Maldjian; Joel D Stitzel
Journal:  J Neurotrauma       Date:  2012-12-10       Impact factor: 5.269

7.  Outcome prediction in moderate and severe traumatic brain injury: a focus on computed tomography variables.

Authors:  Bram Jacobs; Tjemme Beems; Ton M van der Vliet; Arie B van Vugt; Cornelia Hoedemaekers; Janneke Horn; Gaby Franschman; Ian Haitsma; Joukje van der Naalt; Teuntje M J C Andriessen; George F Borm; Pieter E Vos
Journal:  Neurocrit Care       Date:  2013-08       Impact factor: 3.210

8.  Causal role of apoptosis-inducing factor for neuronal cell death following traumatic brain injury.

Authors:  Jennifer E Slemmer; Changlian Zhu; Stefan Landshamer; Raimund Trabold; Julia Grohm; Ardavan Ardeshiri; Ernst Wagner; Marva I Sweeney; Klas Blomgren; Carsten Culmsee; John T Weber; Nikolaus Plesnila
Journal:  Am J Pathol       Date:  2008-11-06       Impact factor: 4.307

9.  Traumatic brain injury: simple data collection will improve the outcome.

Authors:  Andrew I R Maas
Journal:  Wien Klin Wochenschr       Date:  2007-02       Impact factor: 1.704

10.  Traumatic intracranial hematomas: prognostic value of contrast extravasation.

Authors:  L Letourneau-Guillon; T Huynh; R Jakobovic; R Milwid; S P Symons; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2012-10-18       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.