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Comparison of prognostic models for severe burn patients in an Indonesian tertiary hospital: retrospective study

Abstract

Background: Despite the high burn-related mortality rate, few studies investigate the discriminating power of various mortality prognostic models for burn patients in the Indonesian setting. Thus, the objective of our study is to describe and compare the discriminating power of several prognostic models for burn patients, including the Prognostic Burn Index (PBI), Belgian Outcome of Burn In-jury (BOBI), Revised Baux Score (rBaux), and Abbreviated Burn Severity Index (ABSI).

Patients and methods: We conducted a retrospective study using medical records data with analysis including patients with severe burn (>20% Total Body Surface Area (TBSA), >10% for children and elderly), excluding those with known chronic conditions. Statistical analyses were performed on IBM SPSS 23.0 and included ROC curve and diagnostic values calculation, including sensitivity, specificity, positive, and negative predictive values with 95%CI.

Results: Final analysis included 117 subjects with a 38.9% mortality rate. All prognostic models were statistically significant discriminating power with Area Under the Curve (AUC) values of 0.817, 0.849, 0.929, and 0.859, respectively. Comparing diagnostic values identified rBaux to have the strongest discriminating power with the highest specificity, PPV, and NPV. PBI score was identified with the highest sensitivity score.

Conclusion: Discrepancy of results between our study and another Indonesian study with a similar design pointed to the need for a multi-centered study with a larger sample size to improve generalizability and statistical power of analysis.

References

  1. Herlianita R, Purwanto E, Wahyuningsih I, Pratiwi ID. Clinical outcome and comparison of burn injury scoring systems in burn patient in Indonesia. African J Emerg Med. 2021;11(3):331–4. Available from: https://pubmed.ncbi.nlm.nih.gov/34141527
  2. Nakae H, Wada H. Characteristics of burn patients transported by ambulance to treatment facilities in Akita Prefecture, Japan. Burns. 2002;28(1):73–9. Available from: http://dx.doi.org/10.1016/s0305-4179(01)00063-8
  3. Kaita Y, Tarui T, Tanaka Y, Suzuki J, Yoshikawa K, Yamaguchi Y. Reevaluation for prognostic value of prognostic burn index in severe burn patients. Acute Med Surg. 2020;7(1):1–5. Available from: https://pubmed.ncbi.nlm.nih.gov/32431841
  4. Blot S, Brusselaers N, Monstrey S, Vandewoude K, De Waele JJ, Colpaert K, et al. Development and validation of a model for prediction of mortality in patients with acute burn injury. Br J Surg. 2009;96(1):111–7. Available from: http://dx.doi.org/10.1186/cc3272
  5. Yamamoto R, Shibusawa T, Aikawa N, Sasaki J. Modified abbreviated burn severity index as a predictor of in-hospital mortality in patients with inhalation injury: development and validation using independent cohorts. Surg Today. 2021;51(2):242–9. Available from: http://dx.doi.org/10.1007/s00595-020-02085-5
  6. Osler T, Glance LG, Hosmer DW. Simplified estimates of the probability of death after burn injuries: Extending and updating the baux score. J Trauma - Inj Infect Crit Care. 2010;68(3):690–7. Available from: http://dx.doi.org/10.1097/ta.0b013e3181c453b3
  7. Davé DR, Nagarjan N, Canner JK, Kushner AL, Stewart BT. Rethinking burns for low & middle-income countries : Differing patterns of burn epidemiology, care seeking behavior, and outcomes across four countries. Burns. 2018;44:1228 – 1234. Available from: http://dx.doi.org/10.1016/j.burns.2018.01.015
  8. Mock C, Peck M, Peden M, Krug E, Ahuja R, Albertyn H, et al. A WHO plan for burn prevention and care [Internet]. Geneva; 2008. Available from: http://dx.doi.org/10.1016/j.burns.2008.08.016
  9. Jacobs C, Vacek J, Many B, Bouchard M, Abdullah F. An Analysis of Factors Associated with Burn Injury Outcomes in Low- and Middle-Income Countries. J Surg Res. 2021;257:442–8. Available from: http://dx.doi.org/10.1016/j.jss.2020.08.019
  10. Capek KD, Sousse LE, Hundeshagen G, Voigt CD, Suman OE, Finnerty CC, et al. Contemporary Burn Survival. J Am Coll Surg. 2018;226(4):453–63. Available from: https://pubmed.ncbi.nlm.nih.gov/29530306
  11. Pham T, Bettencourt A, Bozinko G, Chang P, Chung K, Craig C, et al. Advanced Burn Life Support Course [Internet]. Chicago: American Burn Association; 2018. 13 p. Available from: http://dx.doi.org/10.1097/bcr.0000000000000311
  12. Sheppard NN, Hemington-Gorse S, Shelley OP, Philp B, Dziewulski P. Prognostic scoring systems in burns: A review. Burns. 2011;37(8):1288–95. Available from: http://dx.doi.org/10.1016/j.burns.2011.07.017
  13. Ying GS, Maguire MG, Glynn RJ, Rosner B. Calculating sensitivity, specificity, and predictive values for correlated eye data. Investig Ophthalmol Vis Sci. 2020;61(11):0–5. Available from: https://pubmed.ncbi.nlm.nih.gov/32936302
  14. Anam K, Dachlan I. Prognostic factors affecting the mortality of burn injuries patients in Dr. Sardjito General Hospital, Yogyakarta, Indonesia. J Med Sci. 2018;50(2):201–8. Available from: http://dx.doi.org/10.19106/jmedsci005002201809
  15. Toppi J, Cleland H, Gabbe B. Severe burns in Australian and New Zealand adults: Epidemiology and burn centre care. Burns. 2019;45(6):1456–61. Available from: http://dx.doi.org/10.1016/j.burns.2019.04.006
  16. Adegbite BR, Edoa JR, Ndzebe Ndoumba WF, Dimessa Mbadinga LB, Mombo-Ngoma G, Jacob ST, et al. A comparison of different scores for diagnosis and mortality prediction of adults with sepsis in Low-and-Middle-Income Countries: a systematic review and meta-analysis. eClinicalMedicine. 2021;42:101184. Available from: https://pubmed.ncbi.nlm.nih.gov/34765956
  17. Yoshimura Y, Saitoh D, Yamada K, Nakamura T, Terayama T, Ikeuchi H, et al. Comparison of prognostic models for burn patients: A retrospective nationwide registry study. Burns. 2020;46(8):1746–55. Available from: http://dx.doi.org/10.1016/j.burns.2020.10.008
  18. Williams DJ, Walker JD. A nomogram for calculation of the Revised Baux Score. Burns. 2015;41(1):85–90. Available from: http://dx.doi.org/10.1016/j.burns.2014.05.001
  19. Tagami T, Matsui H, Fushimi K, Yasunaga H. Validation of the prognostic burn index: A nationwide retrospective study. Burns. 2015;41(6):1169–75. Available from: http://dx.doi.org/10.1016/j.burns.2015.02.017
  20. Hwee J, Song C, Tan KC, Tan BK, Chong SJ. The trends of burns epidemiology in a tropical regional burns centre. Burns. 2016;42(3):682–6. Available from: http://dx.doi.org/10.1016/j.burns.2015.10.019
  21. Song C, Chua A. Epidemiology of burn injuries in Singapore from 1997 to 2003. Burns. 2005;31(1 SUPPL.):18–26. Available from: http://dx.doi.org/10.1016/j.burns.2004.10.005

How to Cite

Oenarta, E. G., Hamid, A. R. R. H., Sanjaya, I. G. P. H., Adnyana, I. M. S., Mahadewa, T. G. B., & Agustinus, I. W. H. (2022). Comparison of prognostic models for severe burn patients in an Indonesian tertiary hospital: retrospective study. Bali Medical Journal, 11(1), 211–215. https://doi.org/10.15562/bmj.v11i1.3378

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Eunice Geraldine Oenarta
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Agus Roy Rusly Hariantana Hamid
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I Gusti Putu Hendra Sanjaya
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I Made Suka Adnyana
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Tjokorda Gede Bagus Mahadewa
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I Wayan Harimawan Agustinus
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