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The Utility of the Kampala Trauma Score as a Triage Tool in a Sub-Saharan African Trauma Cohort

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Abstract

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.

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References

  1. World Health Organization (WHO) (2002) World report on violence and health. WHO, Geneva

    Google Scholar 

  2. Berger L, Mohan D (1996) Injury Control: A Global View. Oxford University Press, New York

    Google Scholar 

  3. World Health Organization (WHO) (2010) Injuries and violence: the facts. WHO, Switzerland

    Google Scholar 

  4. Mathers CD, Sadana R, Salomon JA et al (2001) Healthy Life Expectancy in 191 Countries, 1999. Lancet 357:1685–1691

    Article  CAS  PubMed  Google Scholar 

  5. World Health Organization (WHO) (2002) The Injury Chart Book. Geneva, Switzerland. Available at whqlibdoc.who.int/publications/924156220x.pdf. Accessed 5 April 2014

  6. World Health Organization (WHO) (2006) The World Health Report 2006: working together for health. Geneva. Available at http://www.who.int/whr/2006/whr06_en.pdf?ua=1. Accessed 5 April 2014

  7. World Health Organization (WHO) WHO Africa region: Malawi statistics summary (2002 to present). Available at http://apps.who.int/gho/data/?theme=country&vid=12800. Accessed 5 April 2014

  8. World Health Organization (WHO) Noncommunible diseases country profiles 2011. Available at http://www.who.int/nmh/countries/mwi_en.pdf?ua=1. Accessed 5 April 2014

  9. Baker S, O’Neill B, Haddon W et al (1974) The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma 14:187–196

    Article  CAS  PubMed  Google Scholar 

  10. Boyd C, Tolson M, Copes W (1987) Evaluating trauma care: the TRISS method. J Trauma 27:370–378

    Article  CAS  PubMed  Google Scholar 

  11. Champion H, Sacco W (1989) A revision of the trauma score. J Trauma 29:623–629

    Article  CAS  PubMed  Google Scholar 

  12. Kingston R, O’Flanagan SJ (2000) Scoring systems in trauma. Ir J Med Sci 169(3):168–172

    Article  CAS  PubMed  Google Scholar 

  13. Kobusingye OC, Lett RR (2000) Hospital-based trauma registries in Uganda. J Trauma 48(3):498–502

    Article  CAS  PubMed  Google Scholar 

  14. MacLeod JBA, Kobusingye O, Frost C et al (2003) A comparison of the kampala trauma score (KTS) with the revised trauma score (RTS), injury severity score (ISS) and the TRISS method in a Ugandan trauma registry: is equal performance achieved with fewer resources? Eur J Trauma 29(6):392–398

    Article  Google Scholar 

  15. Samuel JC, Akinkuotu A, Baloyi P et al (2010) Hospital-based injury data in Malawi: strategies for data collection and feasibility of trauma scoring tools. Trop Doctor 40(2):98–99

    Article  Google Scholar 

  16. Chalya PL, Mabula JB, Dass RM et al (2012) Injury characteristics and outcome of road traffic crash victims at Bugando Medical Center in Northwestern Tanzania. J Trauma Manag Outcomes 6(1):1

    Article  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

The authors wish to thank Jared Tomlinson MD for his help in facilitating data collection. This research was supported by the Doris Duke Charitable Foundation; The UNC Institute of Global Health and Infectious Diseases; the UNC Center for AIDS Research.

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Correspondence to Anthony Charles.

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Haac, B., Varela, C., Geyer, A. et al. The Utility of the Kampala Trauma Score as a Triage Tool in a Sub-Saharan African Trauma Cohort. World J Surg 39, 356–362 (2015). https://doi.org/10.1007/s00268-014-2830-6

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  • DOI: https://doi.org/10.1007/s00268-014-2830-6

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