• Serhat Akay, Ahmet Mucteba Ozturk, and Huriye Akay.
• Emergency Medicine Clinic, Izmir, Bozyaka Training and Research Hospital, Izmir, Turkey. Electronic address: howls_Castle@mynet.com.
• Am J Emerg Med. 2017 Aug 1; 35 (8): 1056-1059.

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.Copyright © 2017 Elsevier Inc. All rights reserved.

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