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Computed tomography and clinical outcome in patients with severe traumatic brain injury
Umeå University, Sweden.
Umeå University, Sweden.
Umeå University, Sweden.
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences.
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2017 (English)In: Brain Injury, ISSN 0269-9052, E-ISSN 1362-301X, Vol. 31, no 3, 351-358 p.Article in journal (Refereed) Published
Abstract [en]

Objective: To study: (i) acute computed tomography (CT) characteristics and clinical outcome; (ii) clinical course and (iii) Corticosteroid Randomisation after Significant Head Injury acute calculator protocol (CRASH) model and clinical outcome in patients with severe traumatic brain injury (sTBI). Methods: Initial CT (CT;) and CT 24 hours post-trauma (CT24) were evaluated according to Marshall and Rotterdam classifications. Rancho Los Amigos Cognitive Scale-Revised (RLAS-R) and Glasgow Outcome Scale Extended (GOSE) were assessed at three months and one year post-trauma. The prognostic value of the CRASH model was evaluated. Results: Thirty-seven patients were included. Marshall CT; and CT24 were significantly correlated with RLAS-R at three months. Rotterdam CT24 was significantly correlated with GOSE at three months. RLAS-R and the GOSE improved significantly from three months to one year. CRASH predicted unfavourable outcome at six months for 81% of patients with bad outcome and for 85% of patients with favourable outcome according to GOSE at one year. Conclusion: Neither CT nor CRASH yielded clinically useful predictions of outcome at one year post injury. The study showed encouragingly many instances of significant recovery in this population of sTBI. The combination of lack of reliable prognostic indicators and favourable outcomes supports the case for intensive acute management and rehabilitation as the default protocol in the cases of sTBI.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS INC , 2017. Vol. 31, no 3, 351-358 p.
Keyword [en]
Computed tomography; severe traumatic brain injury; outcome
National Category
Neurology
Identifiers
URN: urn:nbn:se:liu:diva-136672DOI: 10.1080/02699052.2016.1261303ISI: 000398005900010PubMedID: 28296529OAI: oai:DiVA.org:liu-136672DiVA: diva2:1089741
Note

Funding Agencies|Vasterbotten County Council

Available from: 2017-04-20 Created: 2017-04-20 Last updated: 2017-04-20

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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