Is the Kampala Trauma Score an effective predictor of mortality in low-resource settings? A comparison of multiple trauma severity scores

Sharon R. Weeks, Catherine J. Juillard, Martin E. Monono, Georges A. Etoundi, Marquise K. Ngamby, Adnan A. Hyder, Kent A Stevens

Research output: Contribution to journalArticle

Abstract

Background: In the developed world, multiple injury severity scores have been used for trauma patient evaluation and study. However, few studies have supported the effectiveness of different trauma scoring methods in the developing world. The Kampala Trauma Score (KTS) was developed for use in resource-limited settings and has been shown to be a robust predictor of death. This study evaluates the ability of KTS to predict the mortality of trauma patients compared to other trauma scoring systems. Methods: Data were collected on injured patients presenting to Central Hospital of Yaoundé, Cameroon from April 15 to October 15, 2009. The KTS, Injury Severity Score, Revised Trauma Score, Glasgow Coma Scale, and Trauma Injury Severity Score were calculated for each patient. Scores were evaluated as predictors of mortality using logistic regression models. Areas under receiver operating characteristic (ROC) curves were compared. Results: Altogether, 2855 patients were evaluated with a mortality rate of 6 per 1000. Each score analyzed was a statistically significant predictor of mortality. The area under the ROC for KTS as a predictor of mortality was 0.7748 (95 % CI 0.6285-0.9212). There were no statistically significant pairwise differences between ROC areas of KTS and other scores. Similar results were found when the analysis was limited to severe injuries. Conclusions: This comparison of KTS to other trauma scores supports the adoption of KTS for injury surveillance and triage in resource-limited settings. We show that the KTS is as effective as other scoring systems for predicting patient mortality.

Original languageEnglish (US)
Pages (from-to)1905-1911
Number of pages7
JournalWorld Journal of Surgery
Volume38
Issue number8
DOIs
StatePublished - 2014

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Multiple Trauma
Mortality
Wounds and Injuries
Injury Severity Score
ROC Curve
Logistic Models
Cameroon
Glasgow Coma Scale
Triage

ASJC Scopus subject areas

  • Surgery
  • Medicine(all)

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Is the Kampala Trauma Score an effective predictor of mortality in low-resource settings? A comparison of multiple trauma severity scores. / Weeks, Sharon R.; Juillard, Catherine J.; Monono, Martin E.; Etoundi, Georges A.; Ngamby, Marquise K.; Hyder, Adnan A.; Stevens, Kent A.

In: World Journal of Surgery, Vol. 38, No. 8, 2014, p. 1905-1911.

Research output: Contribution to journalArticle

Weeks, Sharon R. ; Juillard, Catherine J. ; Monono, Martin E. ; Etoundi, Georges A. ; Ngamby, Marquise K. ; Hyder, Adnan A. ; Stevens, Kent A. / Is the Kampala Trauma Score an effective predictor of mortality in low-resource settings? A comparison of multiple trauma severity scores. In: World Journal of Surgery. 2014 ; Vol. 38, No. 8. pp. 1905-1911.
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AB - Background: In the developed world, multiple injury severity scores have been used for trauma patient evaluation and study. However, few studies have supported the effectiveness of different trauma scoring methods in the developing world. The Kampala Trauma Score (KTS) was developed for use in resource-limited settings and has been shown to be a robust predictor of death. This study evaluates the ability of KTS to predict the mortality of trauma patients compared to other trauma scoring systems. Methods: Data were collected on injured patients presenting to Central Hospital of Yaoundé, Cameroon from April 15 to October 15, 2009. The KTS, Injury Severity Score, Revised Trauma Score, Glasgow Coma Scale, and Trauma Injury Severity Score were calculated for each patient. Scores were evaluated as predictors of mortality using logistic regression models. Areas under receiver operating characteristic (ROC) curves were compared. Results: Altogether, 2855 patients were evaluated with a mortality rate of 6 per 1000. Each score analyzed was a statistically significant predictor of mortality. The area under the ROC for KTS as a predictor of mortality was 0.7748 (95 % CI 0.6285-0.9212). There were no statistically significant pairwise differences between ROC areas of KTS and other scores. Similar results were found when the analysis was limited to severe injuries. Conclusions: This comparison of KTS to other trauma scores supports the adoption of KTS for injury surveillance and triage in resource-limited settings. We show that the KTS is as effective as other scoring systems for predicting patient mortality.

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