A comparison of trauma scoring systems for trauma-related injuries presenting to a district-level urban public hospital in Western Cape, South Africa

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dc.contributor.authorMukonkole, S. N.en_ZA
dc.contributor.authorHunter, L.en_ZA
dc.contributor.authorMoller, A.en_ZA
dc.contributor.authorMccaul, M.en_ZA
dc.contributor.authorLahri, S.en_ZA
dc.contributor.authorVan Hoving, D. J.en_ZA
dc.date.accessioned2022-03-24T07:49:14Z
dc.date.available2022-03-24T07:49:14Z
dc.date.issued2020-03
dc.descriptionCITATION: Mukonkole, S. N. et al. 2020. A comparison of trauma scoring systems for trauma-related injuries presenting to a district-level urban public hospital in Western Cape, South Africa. South African Journal of Surgery, 58(1):9-14, doi:10.17159/2078-5151/2020/v58n1a3116.en_ZA
dc.descriptionThe original publication is available at: http://www.scielo.org.za
dc.description.abstractBACKGROUND: Trauma is a major public health issue and has an extensive burden on the health system in South Africa. Many trauma scoring systems have been developed to estimate trauma severity and predict mortality. The prediction of mortality between different trauma scoring systems have not been compared at district-level health facilities in South Africa. The objective was to compare four trauma scoring systems (injury severity score (ISS), revised trauma score (RTS), Kampala trauma score (KTS), trauma and injury severity score (TRISS)) in predicting mortality in trauma-related patients presenting to a district-level hospital in Cape Town METHODS: A retrospective analysis of all trauma patients managed in the resuscitation unit of Khayelitsha Hospital during a six-month period. Logistic regression was done, and empirical cut of points used to maximise sensitivity and specificity on receiver operating characteristic curves. The outcome was all-cause in-hospital mortality RESULTS: In total, 868 participants were analysed after 50 were excluded due to missing data. The mean (± SD) age was 28±11 years, 726 (83.6%) were males, and penetrating injuries (n = 492,56.6%) dominated. The mortality rate was 5.2% (n = 45). TRISS was the best mortality predictor (c-statistic 0.93, sensitivity 90%, specificity 87%). All scoring systems had overlapping confidence intervals CONCLUSION: TRISS, ISS, RTS and KTS performed equivocally in predicting mortality in trauma-related patients managed at a district-level facility. The appropriate scoring system should be the simplest one which can be practically implemented and will likely differ between facilitiesen_ZA
dc.description.versionPublisher's version
dc.format.extent6 pagesen_ZA
dc.identifier.citationMukonkole, S. N. et al. 2020. A comparison of trauma scoring systems for trauma-related injuries presenting to a district-level urban public hospital in Western Cape, South Africa. South African Journal of Surgery, 58(1):9-14, doi:10.17159/2078-5151/2020/v58n1a3116.en_ZA
dc.identifier.issn2078-5151 (online)
dc.identifier.issn0038-2361 (print)
dc.identifier.otherdoi:10.17159/2078-5151/2020/v58n1a3116
dc.identifier.urihttp://hdl.handle.net/10019.1/124355
dc.language.isoen_ZAen_ZA
dc.publisherMedpharm
dc.rights.holderAuthors retain copyright
dc.subjectTrauma, Physicalen_ZA
dc.subjectWounds and injuriesen_ZA
dc.subjectUrban public healthen_ZA
dc.subjectTrauma, Physical -- Patients -- Mortalityen_ZA
dc.titleA comparison of trauma scoring systems for trauma-related injuries presenting to a district-level urban public hospital in Western Cape, South Africaen_ZA
dc.typeArticleen_ZA
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