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The Accuracy of Prediction Models in Burn Patients
Journal of Korean Burn Society 2021;24(1):1-6
Published online June 1, 2021
© 2021 Journal of Korean Burn Society.

Jaeyeon Woo, M.D. and Dohern Kym, M.D.1

Department of Surgery, Hallym University Kangnam Sacred Heart Hospital, 1Department of Surgery, Hallym University Hangang Sacred Heart Hospital, Seoul, Korea
Correspondence to: 김도헌, 서울시 영등포구 버드나루로7길 ㉾ 07247, 한림대학교 한강성심병원 화상센터 외과학교실
Tel: 02-2639-5446, Fax: 02-2678-4386
E-mail: dohern@hallym.or.kr
Received March 21, 2021; Revised April 10, 2021; Accepted April 13, 2021.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Purpose: The purpose of this study was to evaluate the accuracy of four prediction models in adult burn patients.
Methods: This retrospective study was conducted on 696 adult burn patients who were treated at burn intensive care unit (BICU) of Hallym University Hangang Sacred Heart Hospital from January 2017 to December 2019. The models are ABSI, APACHE IV, rBaux and Hangang score.
Results: The discrimination of each prediction model was analyzed as AUC of ROC curve. AUC value was the highest with Hangang score of 0.931 (0.908∼0.954), followed by rBaux 0.896 (0.867∼0.924), ABSI 0.883 (0.853∼0.913) and APACHE IV 0.851 (0.818∼0.884).
Conclusion: The results of evaluating the accuracy of the four models, Hangang score showed the highest prediction. But it is necessary to apply the appropriate prediction model according to characteristics of the burn center.
Keywords : Burn, Prediction model, Hangang score


December 2021, 24 (2)
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