The Accuracy of Prediction Models in Burn Patients

Author: Jaeyeon WOO ¹ ; Dohern KYM
Author Information

1. Department of Surgery, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea
Publication Type:ORIGINAL ARTICLE
From:Journal of Korean Burn Society 2021;24(1):1-6
CountryRepublic of Korea
Language:English
Abstract: Purpose:The purpose of this study was to evaluate the accuracy of four prediction models in adult burn patients.M ethods: 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.