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Predicting outcome in severe traumatic brain injury using a simple prognostic model

dc.contributor.authorSobuwa, S.en_ZA
dc.contributor.authorHartzenberg, H. B.en_ZA
dc.contributor.authorGeduld, H.en_ZA
dc.contributor.authorUys, C.en_ZA
dc.date.accessioned2016-01-12T09:05:29Z
dc.date.available2016-01-12T09:05:29Z
dc.date.issued2014-07
dc.identifier.citationSobuwa, S., Hartzenberg, H. B., Geduld, H. & Uys, C. 2014. Predicting outcome in severe traumatic brain injury using a simple prognostic model. South African Medical Journal, 104(7):492-494, doi:10.7196/SAMJ.7720.en_ZA
dc.identifier.issn2078-5135 (online)
dc.identifier.issn0256-9574 (print)
dc.identifier.otherdoi:10.7196/SAMJ.7720
dc.identifier.urihttp://hdl.handle.net/10019.1/98152
dc.descriptionCITATION: Sobuwa, S., Hartzenberg, H. B., Geduld, H. & Uys, C. 2014. Predicting outcome in severe traumatic brain injury using a simple prognostic model. South African Medical Journal, 104(7):492-494, doi:10.7196/SAMJ.7720.en_ZA
dc.descriptionThe original publication is available at http://samj.org.za
dc.description.abstractBackground. Several studies have made it possible to predict outcome in severe traumatic brain injury (TBI) making it beneficial as an aid for clinical decision-making in the emergency setting. However, reliable predictive models are lacking for resource-limited prehospital settings such as those in developing countries like South Africa. Objective. To develop a simple predictive model for severe TBI using clinical variables in a South African prehospital setting. Methods. All consecutive patients admitted at two level-one centres in Cape Town, South Africa, for severe TBI were included. A binary logistic regression model was used, which included three predictor variables: oxygen saturation (SpO2), Glasgow Coma Scale (GCS) and pupil reactivity. The Glasgow Outcome Scale was used to assess outcome on hospital discharge. Results. A total of 74.4% of the outcomes were correctly predicted by the logistic regression model. The model demonstrated SpO2 (p=0.019), GCS (p=0.001) and pupil reactivity (p=0.002) as independently significant predictors of outcome in severe TBI. Odds ratios of a good outcome were 3.148 (SpO2 ≥90%), 5.108 (GCS 6 - 8) and 4.405 (pupils bilaterally reactive). Conclusion. This model is potentially useful for effective predictions of outcome in severe TBI.en_ZA
dc.description.urihttp://samj.org.za/index.php/samj/article/view/7720
dc.format.extent3 pages
dc.language.isoen_ZAen_ZA
dc.language.isoen
dc.publisherHealth & Medical Publishing Group
dc.subjectBrain -- Wounds and injuriesen_ZA
dc.subjectPredictive controlen_ZA
dc.titlePredicting outcome in severe traumatic brain injury using a simple prognostic modelen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's version
dc.rights.holderSouth African Medical Journal


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