CC BY-NC-ND 4.0 · Indian J Plast Surg 2023; 56(01): 039-043
DOI: 10.1055/s-0043-1760825
Original Article

External Validation of Three Burn-Specific Mortality Prediction Models in Adult Burn Patients at a Tertiary Care Hospital in India

1   Department of Burns, Plastic and Maxillofacial Surgery, Vardhman Mahavir Medical College, New Delhi, India
,
1   Department of Burns, Plastic and Maxillofacial Surgery, Vardhman Mahavir Medical College, New Delhi, India
› Author Affiliations

Abstract

Background Several burn-specific mortality prediction models have been formulated and validated in the developed countries. There is a dearth of studies validating these models in the Indian population. Our objective was to validate three such models in the Indian burn patients.

Methods A prospective observational study was performed after ethical clearance on consecutive eligible consenting burn patients. Patient demographics, vitals, and results of hematological workup were collected. Using these. the Abbreviated Burn Severity Index (ABSI), the revised Baux score (rBaux), and the Fatality by Longevity, APACHE II score, Measured extent of burn, and Sex score (FLAMES) were calculated. The discriminative ability of the ABSI, rBaux, and the FLAMES was tested using the receiver operating characteristic (ROC) curve at 30 days and the area under the ROC curve (AUROC) compared. A p-value ≤ 0.05 was considered significant. Probability of death was calculated using these models. Hosmer–Lemeshow goodness of fit test was run.

Results The ABSI (AUROC 0.7497, 95% CI 0.67796–0.82141), rBaux (AUROC 0.7456, 95% CI 0.67059–0.82068) and FLAMES (AUROC 0.7119, 95% CI 0.63209–0.79172), had fair discriminative ability. The Hosmer–Lemeshow test reported that ABSI and rBaux were a good fit for the Indian population, while FLAMES was not a good fit.

Conclusion The ABSI and rBaux had a fair discriminative ability and were a good fit for the adult patients with 30 to 60% thermal and scald burn patients. FLAMES despite having fair discriminative ability was not a good fit for the study population.

Authors' Contributions

Both the authors were involved in the conception of the work, data collection, analysis, and interpretation and throughout the process of the drafting and revision of the manuscript.


Note

Informed consents were taken from all the participants.


Ethical Approval

Ethical committee approval was obtained from the institutional ethics committee.




Publication History

Article published online:
31 January 2023

© 2023. Association of Plastic Surgeons of India. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 
  • References

  • 1 Gupta JL, Makhija LK, Bajaj SP. National programme for prevention of burn injuries. Indian J Plast Surg 2010; 43 (Suppl): S6-S10
  • 2 Coste J, Wasserman D, Venot A. Predicting mortality in adult burned patients: methodological aspects of the construction and validation of a composite ratio scale. J Clin Epidemiol 1996; 49 (10) 1125-1131
  • 3 Sharma S, Tandon R. Predicting burn mortality using a simple novel prediction model. Indian J Plast Surg 2021; 54 (01) 46-52 DOI: 10.1055/s-0040-1721867.
  • 4 Hussain A, Choukairi F, Dunn K. Predicting survival in thermal injury: a systematic review of methodology of composite prediction models. Burns 2013; 39 (05) 835-850
  • 5 Tobiasen J, Hiebert JM, Edlich RF. The abbreviated burn severity index. Ann Emerg Med 1982; 11 (05) 260-262
  • 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 2010; 68 (03) 690-697
  • 7 Gomez M, Wong DT, Stewart TE, Redelmeier DA, Fish JS. The FLAMES score accurately predicts mortality risk in burn patients. J Trauma 2008; 65 (03) 636-645
  • 8 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 (01) e499
  • 9 Tsurumi A, Que YA, Yan S, Tompkins RG, Rahme LG, Ryan CM. Do standard burn mortality formulae work on a population of severely burned children and adults?. Burns 2015; 41 (05) 935-945
  • 10 Pantet O, Faouzi M, Brusselaers N, Vernay A, Berger MM. Comparison of mortality prediction models and validation of SAPS II in critically ill burns patients. Ann Burns Fire Disasters 2016; 29 (02) 123-129
  • 11 Woods JFC, Quinlan CS, Shelley OP. Predicting mortality in severe burns-what is the score?: evaluation and comparison of 4 mortality prediction scores in an Irish population. Plast Reconstr Surg Glob Open 2016; 4 (01) e606
  • 12 Halgas B, Bay C, Foster K. A comparison of injury scoring systems in predicting burn mortality. Ann Burns Fire Disasters 2018; 31 (02) 89-93
  • 13 Kim Y, Kym D, Hur J. et al. Development of a risk prediction model (Hangang) and comparison with clinical severity scores in burn patients. PLoS One 2019; 14 (02) e0211075
  • 14 Brusselaers N, Agbenorku P, Hoyte-Williams PE. Assessment of mortality prediction models in a Ghanaian burn population. Burns 2013; 39 (05) 997-1003
  • 15 Salehi SH, As'adi K, Abbaszadeh-Kasbi A, Isfeedvajani MS, Khodaei N. Comparison of six outcome prediction models in an adult burn population in a developing country. Ann Burns Fire Disasters 2017; 30 (01) 13-17
  • 16 Douglas HE, Ratcliffe A, Sandhu R, Anwar U. Comparison of mortality prediction models in burns ICU patients in Pinderfields Hospital over 3 years. Burns 2015; 41 (01) 49-52
  • 17 Dokter J, Meijs J, Oen IMMH, van Baar ME, van der Vlies CH, Boxma H. External validation of the revised Baux score for the prediction of mortality in patients with acute burn injury. J Trauma Acute Care Surg 2014; 76 (03) 840-845
  • 18 Moore EC, Pilcher DV, Bailey MJ, Stephens H, Cleland H. The Burns Evaluation and Mortality Study (BEAMS): predicting deaths in Australian and New Zealand burn patients admitted to intensive care with burns. J Trauma Acute Care Surg 2013; 75 (02) 298-303