Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, Melbourne, Australia.
General Surgery Department, Hospital Sultanah Aminah, Johor Bahru, Malaysia.
Injury. 2019 May;50(5):1118-1124. doi: 10.1016/j.injury.2018.12.031. Epub 2018 Dec 21.
The establishment of an accurate prognostic model in major trauma patients is important mainly because this group of patients will benefit the most. Clinical prediction models must be validated internally and externally on a regular basis to ensure the prediction is accurate and current. This study aims to externally validate two prediction models, the Trauma and Injury Severity Score model developed using the Major Trauma Outcome Study in North America (MTOS-TRISS model), and the NTrD-TRISS model, which is a refined MTOS-TRISS model with coefficients derived from the Malaysian National Trauma Database (NTrD), by regarding mortality as the outcome measurement.
This retrospective study included patients with major trauma injuries reported to a trauma centre of Hospital Sultanah Aminah over a 6-year period from 2011 and 2017. Model validation was examined using the measures of discrimination and calibration. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC) and 95% confidence interval (CI). The Hosmer-Lemeshow (H-L) goodness-of-fit test was used to examine calibration capabilities. The predictive validity of both MTOS-TRISS and NTrD-TRISS models were further evaluated by incorporating parameters such as the New Injury Severity Scale and the Injury Severity Score.
Total patients of 3788 (3434 blunt and 354 penetrating injuries) with average age of 37 years (standard deviation of 16 years) were included in this study. All MTOS-TRISS and NTrD-TRISS models examined in this study showed adequate discriminative ability with AUCs ranged from 0.86 to 0.89 for patients with blunt trauma mechanism and 0.89 to 0.99 for patients with penetrating trauma mechanism. The H-L goodness-of-fit test indicated the NTrD-TRISS model calibrated as good as the MTOS-TRISS model for patients with blunt trauma mechanism.
For patients with blunt trauma mechanism, both the MTOS-TRISS and NTrD-TRISS models showed good discrimination and calibration performances. Discrimination performance for the NTrD-TRISS model was revealed to be as good as the MTOS-TRISS model specifically for patients with penetrating trauma mechanism. Overall, this validation study has ascertained the discrimination and calibration performances of the NTrD-TRISS model to be as good as the MTOS-TRISS model particularly for patients with blunt trauma mechanism.
建立一个准确的重大创伤患者预后模型非常重要,因为这组患者将受益最大。临床预测模型必须定期进行内部和外部验证,以确保预测的准确性和时效性。本研究旨在以外科结局研究北美创伤(MTOS-TRISS 模型)建立的创伤和损伤严重度评分模型,以及马来西亚国家创伤数据库(NTrD)衍生系数的改良 MTOS-TRISS 模型(NTrD-TRISS 模型),作为死亡率的结果测量,对两个预测模型进行外部验证。
这是一项回顾性研究,纳入了 2011 年至 2017 年期间向 Hospital Sultanah Aminah 创伤中心报告的重大创伤损伤患者。使用鉴别和校准的措施来检查模型验证。鉴别力通过接收者操作特征曲线(ROC)下面积(AUC)和 95%置信区间(CI)进行评估。Hosmer-Lemeshow(H-L)拟合优度检验用于检验校准能力。通过纳入新损伤严重度评分和损伤严重度评分等参数,进一步评估了 MTOS-TRISS 和 NTrD-TRISS 模型的预测有效性。
本研究共纳入 3788 例(3434 例钝器伤和 354 例穿透伤)患者,平均年龄 37 岁(标准差 16 岁)。本研究中检查的所有 MTOS-TRISS 和 NTrD-TRISS 模型均表现出足够的鉴别能力,AUC 范围为 0.86 至 0.89(钝器伤机制)和 0.89 至 0.99(穿透伤机制)。H-L 拟合优度检验表明,对于钝器伤机制的患者,NTrD-TRISS 模型的校准与 MTOS-TRISS 模型一样好。
对于钝器伤机制的患者,MTOS-TRISS 和 NTrD-TRISS 模型均表现出良好的鉴别和校准性能。对于穿透伤机制的患者,NTrD-TRISS 模型的鉴别性能显示与 MTOS-TRISS 模型一样好。总的来说,这项验证研究证实了 NTrD-TRISS 模型的鉴别和校准性能与 MTOS-TRISS 模型一样好,特别是对于钝器伤机制的患者。