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损伤严重度评分作为美国不同损伤机制成人创伤患者病死率的预测因子:一项回顾性观察研究。

Injury severity score as a predictor of mortality in adult trauma patients by injury mechanism types in the United States: A retrospective observational study.

机构信息

Department of Emergency Medicine, American University of Beirut Medical Center, Beirut, Lebanon.

University of Ljubljana, Ljubljana, Slovenia.

出版信息

Medicine (Baltimore). 2022 Jul 15;101(28):e29614. doi: 10.1097/MD.0000000000029614.

Abstract

Injury severity score (ISS) is commonly used in trauma registries to describe injury severity and to predict outcomes in trauma patients regardless of injury mechanism. This study examined the correlation between ISS and mortality in adult trauma patients presenting to emergency departments in the United States with different mechanisms of injury. A retrospective observational study was conducted using the 2014 Nationwide Emergency Department Sample. Patients' characteristics were stratified by mortality. Receiver operating characteristic (ROC) curves were generated for death against ISS for each mechanism of injury. A logistic regression model was conducted for each mechanism of injury to determine whether ISS (≥16 vs <16) is a predictor of mortality. The study sample consisted of 16,147,058 weighted adult trauma patients. Median age was 46 years. Slightly over half were females (51.9%). Falls, motor vehicle accidents and being struck by or against, were the most commonly reported mechanisms of injury (44.6%, 18.1%, and 15.3%, respectively). The overall mortality in the study population was 0.4%. The area under the ROC curve was highest in injuries sustained in accidents involving machinery (0.947; 95% confidence intervals [CI], 0.896-0.998), followed by motor vehicle traffic (MVA) (0.788; 95% CI, 0.775-0.801) and cutting or piercing (0.746; 95% CI, 0.701-0.791). Deceased patients were accurately identified by ISS 65.2% in injury by machinery, 47.7% in injury involving MVA, 39.7% in injury by firearm and 31.4% in injury by assault. After adjusting for confounders, the multivariate models in which ISS was the main independent factor performed best in predicting mortality from firearm and machinery mechanism of injuries. Although the ROC curve analysis demonstrated a moderate or high discriminatory ability to identify deceased patients in 6 out of twelve mechanisms, and the multivariate analysis revealed that ISS was a significant predictor of mortality in 9 out of 12 injury mechanisms, the sensitivities of all logistic regression models were poor. The ISS ≥ 16 threshold alone therefore should not be used to identify patients with high-mortality risk. The mortality risk assessment should be done individually and be based on clinical evaluation.

摘要

损伤严重度评分(ISS)常用于创伤登记处,以描述损伤严重程度,并预测创伤患者的结局,无论损伤机制如何。本研究在美国因不同损伤机制就诊于急诊科的成年创伤患者中,研究了 ISS 与死亡率之间的相关性。使用 2014 年全国急诊科样本进行了回顾性观察研究。根据死亡率对患者特征进行分层。为每种损伤机制生成了针对死亡的 ISS 受试者工作特征(ROC)曲线。对每种损伤机制进行逻辑回归模型,以确定 ISS(≥16 与 <16)是否是死亡率的预测因素。研究样本包括 16147058 名加权成年创伤患者。中位年龄为 46 岁。略超过一半的患者为女性(51.9%)。跌倒、机动车事故和被打击或撞击,是最常见的损伤机制(分别为 44.6%、18.1%和 15.3%)。研究人群的总死亡率为 0.4%。在涉及机械的事故中,ROC 曲线下面积最高(0.947;95%置信区间 [CI],0.896-0.998),其次是机动车交通(MVA)(0.788;95% CI,0.775-0.801)和切割或刺穿(0.746;95% CI,0.701-0.791)。ISS 准确识别了 65.2%的机械损伤、47.7%的 MVA 损伤、39.7%的火器伤和 31.4%的暴力伤患者死亡。在调整混杂因素后,ISS 作为主要独立因素的多变量模型在预测火器和机械损伤机制的死亡率方面表现最佳。尽管 ROC 曲线分析表明,在 12 种机制中的 6 种机制中,ISS 具有中等或高度鉴别能力来识别死亡患者,并且多元分析表明,ISS 是 12 种损伤机制中 9 种的死亡率的显著预测因子,但所有逻辑回归模型的敏感性都较差。因此,ISS≥16 的阈值本身不应用于识别高死亡率风险的患者。应单独进行死亡风险评估,并基于临床评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bebd/11132402/a13f8909ff12/medi-101-e29614-g001.jpg

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