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A comparison of trauma scoring systems for injuries presenting to a district-level urban public hospital in Western Cape.
Mukonkole, S N; Hunter, L; Möller, A; McCaul, M; Lahri, S; Van Hoving, D J.
Afiliación
  • Mukonkole SN; Division of Epidemiology and Biostatistics, Global Health, Stellenbosch University, Western Cape, South Africa and Khayelitsha Hospital, Western Cape, South Africa.
  • Hunter L; Khayelitsha Hospital, Western Cape, South Africa.
  • Möller A; Karolinska Institute, Sweden.
  • McCaul M; Division of Epidemiology and Biostatistics, Global Health, Stellenbosch University, Western Cape, South Africa.
  • Lahri S; Khayelitsha Hospital, Western Cape, South Africa.
  • Van Hoving DJ; Division of Emergency Medicine, Stellenbosch University, Western Cape, South Africa.
S Afr J Surg ; 58(1): 37-42, 2020 Mar.
Article en En | MEDLINE | ID: mdl-32243114
BACKGROUND: 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-off 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 facilities.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Heridas no Penetrantes / Heridas Penetrantes / Hospitales Urbanos / Índices de Gravedad del Trauma / Hospitales de Distrito Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Adolescent / Adult / Female / Humans / Male País/Región como asunto: Africa Idioma: En Revista: S Afr J Surg Año: 2020 Tipo del documento: Article País de afiliación: Sudáfrica
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Heridas no Penetrantes / Heridas Penetrantes / Hospitales Urbanos / Índices de Gravedad del Trauma / Hospitales de Distrito Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Adolescent / Adult / Female / Humans / Male País/Región como asunto: Africa Idioma: En Revista: S Afr J Surg Año: 2020 Tipo del documento: Article País de afiliación: Sudáfrica
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