Eidenbenz David, Gauss Tobias, Zingg Tobias, Darioli Vincent, Vallot Cécile, Carron Pierre-Nicolas, Bouzat Pierre, Ageron François-Xavier
Department of Emergency Medicine, Lausanne University Hospital and University of Lausanne, 21 Rue du Bugnon, BH 09, 1011, Lausanne, Switzerland.
Department of Anesthesiology and Intensive Care Medicine, Grenoble Alps University Hospital, Grenoble, France.
Scand J Trauma Resusc Emerg Med. 2025 Jan 29;33(1):13. doi: 10.1186/s13049-025-01320-7.
The Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS) grade the severity of injuries and are useful for trauma audit and benchmarking. However, AIS coding is complex and requires specifically trained staff. A simple yet reliable scoring system is needed. The aim of this study was two-fold. First, to develop and validate a simplified AIS (sAIS) chart centred on the most frequent injuries for use by non-trained healthcare professionals. Second, to evaluate the diagnostic accuracy of the sAIS (index test) to calculate the simplified ISS (sISS) to identify major trauma, compared with the reference AIS (rAIS) to calculate the reference ISS (rISS).
This retrospective study used data (2013-2014) from the Northern French Alps Trauma Registry to develop and internally validate the sAIS. External validation was performed with data from the Trauma Registry of Acute Care of Lausanne University Hospital, Switzerland (2019-2021). Both datasets comprised a random sample of 100 injured patients. Following the Standards for Reporting of Diagnostic Accuracy Studies 2015 guidelines, all patients completed the rAIS and the sAIS. The sISS and the rISS were calculated using the sAIS and the rAIS, respectively. Accuracy was evaluated with the mean difference between the sISS and the rISS and the Pearson correlation coefficient. A clinically relevant equivalence limit was set at ± 4 ISS points. Precision was analyzed using Bland-Altmann plots with 95% limits of agreement.
Accuracy was good. The mean ISS difference of 0.97 (95% CI, -0.03 to 1.97) in the internal validation dataset and - 1.77 (95% CI, - 3.04 to 0.50) in the external validation dataset remained within the equivalence limit. The Pearson correlation coefficient was 0.93 in the internal validation dataset (95% CI, 0.90-0.95) and 0.82 in the external validation dataset (95% CI, 0.75-0.88). The limits of agreement were wider than the predetermined relevant range.
The sAIS is accurate, but slightly imprecise in calculating the ISS. The development of this scale increases the possibilities to use a scoring system for severely injured patients in settings with a reduced availability of the AIS.
Retrospectively registered.
简明损伤定级(AIS)和损伤严重度评分(ISS)用于对损伤的严重程度进行分级,对创伤审计和基准评估很有用。然而,AIS编码复杂,需要经过专门培训的人员。因此需要一个简单而可靠的评分系统。本研究有两个目的。第一,开发并验证一个以最常见损伤为中心的简化AIS(sAIS)图表,供未受过培训的医疗专业人员使用。第二,评估sAIS(指标测试)计算简化ISS(sISS)以识别重大创伤的诊断准确性,并与参考AIS(rAIS)计算参考ISS(rISS)进行比较。
这项回顾性研究使用了法国北部阿尔卑斯创伤登记处(2013 - 2014年)的数据来开发和内部验证sAIS。使用瑞士洛桑大学医院急性护理创伤登记处(2019 - 2021年)的数据进行外部验证。两个数据集均包含100名受伤患者的随机样本。按照《2015年诊断准确性研究报告标准》指南,所有患者均完成rAIS和sAIS。分别使用sAIS和rAIS计算sISS和rISS。通过sISS和rISS之间的平均差异以及Pearson相关系数评估准确性。将临床相关等效界限设定为±4个ISS点。使用具有95%一致性界限的Bland - Altmann图分析精密度。
准确性良好。内部验证数据集中ISS的平均差异为0.97(95%CI, - 0.03至1.97),外部验证数据集中为 - 1.77(95%CI, - 3.04至... 0.50),均在等效界限内。内部验证数据集中Pearson相关系数为0.93(95%CI,0.90 - 0.95),外部验证数据集中为0.82(95%CI,0.75 - 0.88)。一致性界限比预定的相关范围更宽。
sAIS在计算ISS时准确,但略有不精确。该量表的开发增加了在AIS可用性降低的情况下对重伤患者使用评分系统的可能性。
回顾性注册。