BACKGROUND: Trauma scoring systems have been developed to assess injury severity and may have triage potential. We sought to evaluate the ability of the Kampala trauma score (KTS) to assess injury severity and its potential as an outcome predictive tool in Malawi. METHODS: This is a prospective cohort study of trauma patients presenting to Kamuzu Central Hospital in 2012. We recorded admission KTS and Revised trauma score (RTS), emergency department disposition, and hospital length of stay (LOS) and survival. Logistic regression and ROC curve analyses were used to compare the KTS to the widely accepted RTS. RESULTS: 15,617 patients presented with trauma. 2,884 (18 %) were admitted, of which 2,509 (95 %) survived. The mean admission KTS was 14.5 ± 0.6, and RTS was 11.9 ± 0.3. For KTS and RTS, the odds of admission with each increment increase in score was 0.44 and 0.3, respectively. Similarly, odds of mortality is 0.48 and 0.36. Neither KTS (p = 0.96, ROC area 0.5) nor RTS (p = 0.25, ROC area 0.5) correlated significantly with hospital LOS. KTS and RTS performed equally well as predictors of mortality, but KTS was a better predictor of need for admission (KTS ROC area 0.62, RTS ROC area 0.55, p < 0.001). CONCLUSIONS: Both the KTS and RTS were significantly associated with need for admission and final outcome on logistic regression analysis; however, they may not be strong enough predictors to merit their use as a screening tool in our setting.
BACKGROUND:Trauma scoring systems have been developed to assess injury severity and may have triage potential. We sought to evaluate the ability of the Kampala trauma score (KTS) to assess injury severity and its potential as an outcome predictive tool in Malawi. METHODS: This is a prospective cohort study of traumapatients presenting to Kamuzu Central Hospital in 2012. We recorded admission KTS and Revised trauma score (RTS), emergency department disposition, and hospital length of stay (LOS) and survival. Logistic regression and ROC curve analyses were used to compare the KTS to the widely accepted RTS. RESULTS: 15,617 patients presented with trauma. 2,884 (18 %) were admitted, of which 2,509 (95 %) survived. The mean admission KTS was 14.5 ± 0.6, and RTS was 11.9 ± 0.3. For KTS and RTS, the odds of admission with each increment increase in score was 0.44 and 0.3, respectively. Similarly, odds of mortality is 0.48 and 0.36. Neither KTS (p = 0.96, ROC area 0.5) nor RTS (p = 0.25, ROC area 0.5) correlated significantly with hospital LOS. KTS and RTS performed equally well as predictors of mortality, but KTS was a better predictor of need for admission (KTS ROC area 0.62, RTS ROC area 0.55, p < 0.001). CONCLUSIONS: Both the KTS and RTS were significantly associated with need for admission and final outcome on logistic regression analysis; however, they may not be strong enough predictors to merit their use as a screening tool in our setting.
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