Predicting outcome in severe traumatic brain injury using a simple prognostic model
| dc.contributor.author | Sobuwa, S. | en_ZA |
| dc.contributor.author | Hartzenberg, H. B. | en_ZA |
| dc.contributor.author | Geduld, H. | en_ZA |
| dc.contributor.author | Uys, C. | en_ZA |
| dc.date.accessioned | 2016-01-12T09:05:29Z | |
| dc.date.available | 2016-01-12T09:05:29Z | |
| dc.date.issued | 2014-07 | |
| dc.description | CITATION: 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.description | The original publication is available at http://samj.org.za | |
| dc.description.abstract | Background. 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.uri | http://samj.org.za/index.php/samj/article/view/7720 | |
| dc.description.version | Publisher's version | |
| dc.format.extent | 3 pages | |
| dc.identifier.citation | 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.identifier.issn | 2078-5135 (online) | |
| dc.identifier.issn | 0256-9574 (print) | |
| dc.identifier.other | doi:10.7196/SAMJ.7720 | |
| dc.identifier.uri | http://hdl.handle.net/10019.1/98152 | |
| dc.language.iso | en_ZA | en_ZA |
| dc.language.iso | en | |
| dc.publisher | Health & Medical Publishing Group | |
| dc.rights.holder | South African Medical Journal | |
| dc.subject | Brain -- Wounds and injuries | en_ZA |
| dc.subject | Predictive control | en_ZA |
| dc.title | Predicting outcome in severe traumatic brain injury using a simple prognostic model | en_ZA |
| dc.type | Article | en_ZA |