دورية أكاديمية

The Best Prediction Model for Trauma Outcomes of the Current Korean Population: a Comparative Study of Three Injury Severity Scoring Systems

التفاصيل البيبلوغرافية
العنوان: The Best Prediction Model for Trauma Outcomes of the Current Korean Population: a Comparative Study of Three Injury Severity Scoring Systems
المؤلفون: Kyoungwon Jung, John Cook-Jong Lee, Rae Woong Park, Dukyong Yoon, Sungjae Jung, Younghwan Kim, Jonghwan Moon, Yo Huh, Junsik Kwon
المصدر: Korean Journal of Critical Care Medicine, Vol 31, Iss 3, Pp 221-228 (2016)
بيانات النشر: Korean Society of Critical Care Medicine, 2016.
سنة النشر: 2016
المجموعة: LCC:Medical emergencies. Critical care. Intensive care. First aid
مصطلحات موضوعية: Korea, injury severity score, mortality, prediction, trauma centers, outcomes, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
الوصف: Background: Injury severity scoring systems that quantify and predict trauma outcomes have not been established in Korea. This study was designed to determine the best system for use in the Korean trauma population. Methods: We collected and analyzed the data from trauma patients admitted to our institution from January 2010 to December 2014. Injury Severity Score (ISS), Revised Trauma Score (RTS), and Trauma and Injury Severity Score (TRISS) were calculated based on the data from the enrolled patients. Area under the receiver operating characteristic (ROC) curve (AUC) for the prediction ability of each scoring system was obtained, and a pairwise comparison of ROC curves was performed. Additionally, the cut-off values were estimated to predict mortality, and the corresponding accuracy, positive predictive value, and negative predictive value were obtained. Results: A total of 7,120 trauma patients (6,668 blunt and 452 penetrating injuries) were enrolled in this study. The AUCs of ISS, RTS, and TRISS were 0.866, 0.894, and 0.942, respectively, and the prediction ability of the TRISS was significantly better than the others (p < 0.001, respectively). The cut-off value of the TRISS was 0.9082, with a sensitivity of 81.9% and specificity of 92.0%; mortality was predicted with an accuracy of 91.2%; its positive predictive value was the highest at 46.8%. Conclusions: The results of our study were based on the data from one institution and suggest that the TRISS is the best prediction model of trauma outcomes in the current Korean population. Further study is needed with more data from multiple centers in Korea.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Korean
تدمد: 2383-4870
2383-4889
Relation: http://www.kjccm.org/upload/pdf/kjccm-2016-00486.pdf; https://doaj.org/toc/2383-4870; https://doaj.org/toc/2383-4889
DOI: 10.4266/kjccm.2016.00486
URL الوصول: https://doaj.org/article/099d8ce0ce054ab7aafb697da083097d
رقم الأكسشن: edsdoj.099d8ce0ce054ab7aafb697da083097d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23834870
23834889
DOI:10.4266/kjccm.2016.00486