Mortality 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).Methods
Using 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.Results
A total of 841 089 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).Conclusion
M-KTS performed worse than TRISS although its’ main advantage is simple use in resource-limited settings.