Hojeij Rayan, Brensing Pia, Nonnemacher Michael, Kowall Bernd, Felderhoff-Müser Ursula, Dudda Marcel, Dohna-Schwake Christian, Stang Andreas, Bruns Nora
Department of Pediatrics I, Neonatology, Pediatric Intensive Care Medicine, and Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; TNBS, Centre for Translational Neuro- and Behavioural Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Department of Pediatrics I, Neonatology, Pediatric Intensive Care Medicine, and Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; TNBS, Centre for Translational Neuro- and Behavioural Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
J Clin Epidemiol. 2025 Feb;178:111634. doi: 10.1016/j.jclinepi.2024.111634. Epub 2024 Dec 7.
The performance of injury severity scores (ISSs), used widely to quantify injury severity and predict outcomes, has not been investigated in German pediatric cases. This study aims to identify the most feasible and accurate injury score predictor of mortality in German children with trauma using International Classification of Diseases 10 (ICD-10).
Between 2014 and 2020, a retrospective observational cohort study of hospital admissions cases aged <18 years with injury-related ICD-10 codes, using the German hospital database (GHD), was conducted. The maximum abbreviated injury scale and ISS were calculated using the International Classification of Diseases-Abbreviated Injury Scale (ICD-AIS) map provided by the Association for the Advancement of Automotive Medicine, adjusted to the German modification of the ICD-10 classification. The survival risk ratio was used to calculate the single-worst ICD-derived injury (single International Classification of Disease Injury Severity Score [ICISS]) and a multiplicative ICISS. Logistic regressions were conducted for each of the four above-mentioned scores (predictors) to predict in-hospital mortality (outcome) in the selected trauma population and within four clinically relevant subgroups using discrimination and calibration.
1,720,802 were trauma patients, and ICD-AIS mapping was possible in 1,328,377 cases. Cases with mapping failure (n = 392,425; 22.8%) were younger and had a higher mortality rate were excluded from the performance analysis. ICISS-derived scores had a better discrimination and calibration than ICD-AIS based scores in the overall cohort and all four subgroups (area under the curve [AUC] ranges between 0.985 and 0.998 vs 0.886 and- 0.972, respectively).
Empirically derived measures of injury severity were superior to ICD-AIS mapped scores in the GHD to predict mortality in pediatric trauma patients. Given the high percentage of mapping failure and high mortality among cases with single-coded injury, the single ICISS may be the most suitable measure of injury severity in this group of patients.
损伤严重程度评分(ISS)被广泛用于量化损伤严重程度和预测预后,但尚未在德国儿科病例中进行研究。本研究旨在使用国际疾病分类第10版(ICD - 10)确定德国创伤儿童中最可行、最准确的死亡损伤评分预测指标。
2014年至2020年期间,利用德国医院数据库(GHD)对年龄<18岁且有与损伤相关的ICD - 10编码的住院病例进行了一项回顾性观察队列研究。使用汽车医学发展协会提供的国际疾病分类 - 简明损伤量表(ICD - AIS)图谱计算最大简明损伤量表和ISS,并根据德国对ICD - 10分类的修改进行调整。生存风险比用于计算单一最严重的ICD衍生损伤(单一国际疾病损伤严重程度评分[ICISS])和乘积性ICISS。对上述四个评分(预测指标)中的每一个进行逻辑回归,以使用判别和校准来预测所选创伤人群以及四个临床相关亚组中的院内死亡率(结局)。
1720802例为创伤患者,其中1328377例可进行ICD - AIS映射。映射失败的病例(n = 392425;22.8%)年龄较小且死亡率较高,被排除在性能分析之外。在总体队列和所有四个亚组中,基于ICISS的评分比基于ICD - AIS的评分具有更好的判别和校准能力(曲线下面积[AUC]范围分别为0.985至0.998和0.886至0.972)。
在GHD中,经验性得出的损伤严重程度测量指标在预测儿科创伤患者死亡率方面优于ICD - AIS映射评分。鉴于单一编码损伤病例中映射失败的比例高且死亡率高,单一ICISS可能是该组患者中最合适的损伤严重程度测量指标。