Predictive Limitations of the Geriatric Trauma Outcome Score: A Retrospective Analysis of Mortality in Elderly Patients with Multiple Traumas and Severe Traumatic Brain Injury

老年创伤结局评分的预测局限性:对多发性创伤和严重创伤性脑损伤老年患者死亡率的回顾性分析

阅读:1

Abstract

Background/Objectives: The Geriatric Trauma Outcome Score (GTOS) is used to predict in-hospital mortality in geriatric patients with trauma. However, its applicability to elderly patients with multiple traumas and severe traumatic brain injury (TBI) remains poorly understood. This study aimed to evaluate the predictive accuracy of the GTOS in elderly patients with multiple traumas and TBI and assess its performance in patients with mild and severe TBI. Methods: We retrospectively analyzed 1283 geriatric multiple trauma patients (aged ≥ 65 years) treated at a regional trauma center from 2019 to 2023. Patients were stratified into mild (head Abbreviated Injury Scale [AIS] ≤ 3) and severe (head AIS ≥ 4) TBI groups. GTOS values were calculated for each patient, and predicted mortality was compared with in-hospital mortality. GTOS predictive accuracy was assessed by analyzing the receiver operating characteristic curve. Results: Patients had a median Injury Severity Score of 18 (interquartile range: 10-25); 33.3% of patients received red blood cell transfusions within 24 h. The overall in-hospital mortality rate was 17.9%; GTOS predicted a mortality rate of 17.6% ± 0.17. The GTOS accurately predicted the in-hospital mortality in the entire cohort, achieving an Area Under the Curve (AUC) of 0.798. Predictive accuracy diminished for patients with severe TBI (AUC = 0.657), underestimating actual mortality (39.5% vs. 28.8% predicted). Conclusions: While the GTOS remains a useful tool for predicting in-hospital mortality in elderly patients with multiple traumas, it consistently underestimates mortality risk in those with severe TBI. Therefore, applying the GTOS in this patient subgroup warrants careful consideration.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。