Comparison of Trauma Mortality Prediction Models With Updated Survival Risk Ratios in Korea.

IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Juyoung Kim, Yun Jung Heo, Yoon Kim
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引用次数: 0

Abstract

Background: Despite the considerable disease burden due to trauma injury, sufficient effort has not been made for the assessment of nationwide trauma care status in Korea. We explored the feasibility of a diagnosis code-based injury severity measuring method in light of its real-world usage.

Methods: We used datasets from the National Emergency Department Information System to calculate the survival risk ratios (SRRs) and the Korean Trauma Data Bank to predict models, respectively. The target cohort was split into training and validation datasets using stratified random sampling in an 8:2 ratio. We established six major mortality prediction models depending on the included parameters: 1) the Trauma and Injury Severity Score (TRISS) (age, sex, original Revised Trauma Score [RTS], Injury Severity Score [ISS]), 2) extended International Classification of Diseases-based Injury Severity Score (ICISS) 1 (age, sex, original RTS, ICISS using international SRRs), 3) extended ICISS 2 (age, sex, original RTS, ICISS using Korean SRRs based on 4-digit diagnosis codes), 4) extended ICISS 3 (age, sex, original RTS, ICISS using Korean SRRs based on full-digit diagnosis codes), 5) extended ICISS 4 (age, sex, modified RTS, and ICISS using Korean SRRs based on 4-digit diagnosis codes), 6) extended ICISS 5 (age, sex, modified RTS, and ICISS using Korean SRRs based on full-digit diagnosis codes). We estimated the model using training datasets and fitted it to the validation datasets. We measured the area under the receiver operating characteristic curve (AUC) for discriminative ability. Overall performance was also evaluated using the Brier score.

Results: We observed the feasibility of the extended ICISS models, though their performance was slightly lower than the TRISS model (training cohort, AUC 0.936-0.938 vs. 0.949). Regarding SRR calculation methods, we did not find statistically significant differences. The alternative use of the Alert, Voice, Pain, Unresponsive Scale instead of the Glasgow Coma Scale in the RTS calculation did not degrade model performance.

Conclusion: The availability of the practical ICISS model was observed based on the model performance. We expect our ICISS model to contribute to strengthening the Korean Trauma Care System by utilizing mortality prediction and severity classification.

韩国创伤死亡率预测模型与最新生存风险比的比较
背景:尽管创伤性损伤造成了相当大的疾病负担,但对韩国全国创伤护理状况的评估还没有做出足够的努力。我们探讨了基于诊断代码的损伤严重程度测量方法的可行性,并结合其实际使用情况。方法:我们分别使用来自国家急诊科信息系统的数据集计算生存风险比(SRRs)和韩国创伤数据库的数据集来预测模型。采用分层随机抽样,以8:2的比例将目标队列分为训练数据集和验证数据集。根据纳入的参数,我们建立了六种主要的死亡率预测模型:1)创伤和损伤严重程度评分(TRISS)(年龄,性别,原始修订创伤评分[RTS],损伤严重程度评分[ISS]), 2)扩展的国际疾病分类损伤严重程度评分(ICISS) 1(年龄,性别,原始RTS, ICISS使用国际SRRs), 3)扩展的ICISS 2(年龄,性别,原始RTS, ICISS使用基于四位数字诊断代码的韩国SRRs), 4)扩展的ICISS 3(年龄,性别,原始RTS, ICISS使用基于全数字诊断代码的韩国SRRs),5)扩展了ICISS 4(年龄、性别、修改后的RTS和基于4位诊断码的使用韩国SRRs的ICISS), 6)扩展了ICISS 5(年龄、性别、修改后的RTS和基于全位诊断码使用韩国SRRs的ICISS)。我们使用训练数据集估计模型,并将其拟合到验证数据集。我们测量了受者工作特征曲线下面积(AUC)的辨别能力。总体表现也使用Brier评分进行评估。结果:我们观察到扩展的ICISS模型的可行性,但其性能略低于TRISS模型(训练队列,AUC 0.936-0.938 vs. 0.949)。关于SRR的计算方法,我们没有发现统计学上的显著差异。在RTS计算中使用警觉、声音、疼痛、无反应量表代替格拉斯哥昏迷量表并不会降低模型的性能。结论:基于模型的性能,观察了实用ICISS模型的有效性。我们期望我们的ICISS模型通过死亡率预测和严重程度分类来加强韩国的创伤护理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Korean Medical Science
Journal of Korean Medical Science 医学-医学:内科
CiteScore
7.80
自引率
8.90%
发文量
320
审稿时长
3-6 weeks
期刊介绍: The Journal of Korean Medical Science (JKMS) is an international, peer-reviewed Open Access journal of medicine published weekly in English. The Journal’s publisher is the Korean Academy of Medical Sciences (KAMS), Korean Medical Association (KMA). JKMS aims to publish evidence-based, scientific research articles from various disciplines of the medical sciences. The Journal welcomes articles of general interest to medical researchers especially when they contain original information. Articles on the clinical evaluation of drugs and other therapies, epidemiologic studies of the general population, studies on pathogenic organisms and toxic materials, and the toxicities and adverse effects of therapeutics are welcome.
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