Reyero Díez Diego, Otano Tomás Belzunegui, Bermejo Fraile Begoña, Louis Clint Jean, Ramírez Jose Roldán, Sucunza Alfredo Echarri
Prehospital Emergency, Navarra Health Services, Pamplona, Spain.
J Emerg Med. 2012 Jul;43(1):19-28. doi: 10.1016/j.jemermed.2010.01.017. Epub 2010 Mar 5.
Information obtained from vehicle crash scenes, called kinematics, may prove useful in the management of victims and may complement anatomical and physiological findings.
In addition to analyzing the significance of age, gender, position occupied in the vehicle, the use of restraint systems, and ejection from the vehicle, the objective was to carry out a preliminary study of what we have defined as the Structural Deformity Index (SDI) to verify its usefulness in predicting injury severity at the scene of a motor vehicle crash. The index consists of various parameters that can be easily identified at the crash scene.
An historical cohort of vehicle occupants involved in crashes in the Navarra province of Spain from January 1, 2001 to December 31, 2002 was studied. Information was collected from the database of the Navarra Severe Trauma Victim group study. Bivariate statistical analysis and multivariate logistic regression models were employed for statistical management.
There were 212 vehicle occupants identified. Significant differences in severity of injury, and of mortality, were observed based on age, ejection from the vehicle, and a high SDI. Logistic regression showed significant differences in injury severity by age (odds ratio [OR] 6.55, 95% confidence interval [CI] 1.6-26.7) and high SDI (OR 1.84, 95% CI 1-3.3), as well as differences in the patient death rate by age (OR 6.92, 95% CI 1.2-38.9) and high SDI (OR 3.28, 95% CI 1.5-6.8).
The SDI is useful to the first responders, enabling them to alert and transmit objective, reliable information to the emergency coordination center, thus efficiently activating health care resources. In addition, use of the SDI may assist prehospital and hospital health care providers to suspect the presence of particular serious injuries when anatomical and physiological criteria are not definitive.
从车祸现场获取的信息,即运动学信息,可能在伤者救治中发挥作用,并可补充解剖学和生理学检查结果。
除了分析年龄、性别、在车内的位置、约束系统的使用情况以及是否被抛出车外的意义外,本研究的目的是对我们定义的结构畸形指数(SDI)进行初步研究,以验证其在预测机动车碰撞事故现场损伤严重程度方面的作用。该指数由在碰撞现场易于识别的各种参数组成。
对2001年1月1日至2002年12月31日期间在西班牙纳瓦拉省发生车祸的车内人员进行历史性队列研究。信息从纳瓦拉严重创伤受害者群体研究数据库中收集。采用双变量统计分析和多变量逻辑回归模型进行统计处理。
共识别出212名车内人员。基于年龄、被抛出车外情况和高SDI,观察到损伤严重程度和死亡率存在显著差异。逻辑回归显示,年龄(优势比[OR]6.55,95%置信区间[CI]1.6 - 26.7)和高SDI(OR 1.84,95%CI 1 - 3.3)与损伤严重程度存在显著差异,年龄(OR 6.92,95%CI 1.2 - 38.9)和高SDI(OR 3.28,95%CI 1.5 - 6.8)与患者死亡率存在差异。
SDI对现场急救人员有用,能使他们向应急协调中心发出警报并传递客观、可靠的信息,从而有效地调动医疗资源。此外,当解剖学和生理学标准不明确时,使用SDI可能有助于院前和医院医疗服务提供者怀疑存在特定的严重损伤。