Abstract

BackgroundMortality prediction of trauma patients relies on anatomical, physiological or combined scores. The purpose of this study is to compare the diagnostic accuracy of the modified Kampala Trauma Score (M-KTS) with the Trauma Mortality Prediction Model (TMPM), and Trauma-Injury Severity Score (TRISS) using data from a large dataset from a developed registry, the National Trauma Data Bank (NTDB). MethodsUsing 2011 and 2012 data from NTDB, patient based trauma scores (M-KTS, TMPM, and TRISS) were calculated and predictive ability of M-KTS for mortality was compared with other trauma scores using receiver operating characteristics (ROC) curves. ResultsA total of 841089 patients were included in the study. TRISS outperformed other scores (AUC=0.922, %95 CI 0.920–0.924) with M-KTS as the second best score (AUC=0.901, %95 CI 0.899–0.903) followed by TMPM (AUC=0.887, 95% CI 0.844–0.889). For blunt trauma, TRISS (AUC=0.917, 95% CI 0.915–0.919) performed better than M-KTS (AUC=0.891, %95 CI 0.889–0.893) and TMPM (AUC=0.874, 95% CI 0.871–0.877). For penetrating trauma, M-KTS (AUC=0.956, 95% CI 0.954–0.959) and TMPM (AUC=0.955, 95% CI 0.951–0.958) had similar performance after TRISS (AUC=0.969, 95% CI 0.967–0.971). ConclusionM-KTS performed worse than TRISS although its' main advantage is simple use in resource-limited settings.

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