Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
BMJ Open. 2019 Jan 29;9(1):e025350. doi: 10.1136/bmjopen-2018-025350.
Although it is important to assess prehospital factors associated with traffic crash fatalities to decrease them as a matter of public health, such factors have not been fully revealed.
Using data from the Japanese Trauma Data Bank, a large hospital-based trauma registry in Japan, we retrospectively analysed traffic crash patients transported to participating facilities that treated patients with severe trauma from 2004 to 2015. This study defined registered emergency patients whose systolic blood pressure was 0 mm Hg or heart rate was 0 bpm at hospital arrival as being in prehospital cardiopulmonary arrest (CPA). Prehospital factors associated with prehospital CPA due to traffic crash were assessed with multivariable logistic regression analysis.
In total, 66 243 patients were eligible for analysis. Of them, 3390 (5.1%) patients were in CPA at hospital arrival. A multivariable logistic regression model showed the following factors to be significantly associated with prehospital CPA: ages 60-74 years (adjusted OR (AOR) 1.256, 95% CI 1.142 to 1.382) and ≥75 years (AOR 1.487, 95% CI 1.336 to 1.654), male sex (AOR 1.234, 95% CI 1.139 to 1.338), night-time (AOR 1.575, 95% CI 1.458 to 1.702), weekend including holiday (AOR 1.078, 95% CI 1.001 to 1.161), rural area (AOR 1.181, 95% CI 1.097 to 1.271), back seat passenger (AOR 1.227, 95% CI 0.985 to 1.528) and pedestrian (AOR 1.754, 95% CI 1.580 to 1.947) as types of patients.
In this population, factors associated with prehospital CPA due to a traffic crash were elderly people, male sex, night-time, weekend/holiday, back seat passenger, pedestrian and rural area. These fundamental data may be of help in reducing and preventing traffic crash deaths.
评估与交通碰撞相关的院外因素对于降低交通碰撞致死率具有重要意义,然而这些因素尚未被完全揭示。
本研究使用来自日本创伤数据库的数据,该数据库是日本一个大型的基于医院的创伤登记处,我们对 2004 年至 2015 年期间被送往参与治疗严重创伤患者的医疗机构的交通碰撞患者进行了回顾性分析。本研究将到达医院时收缩压为 0mmHg 或心率为 0bpm 的登记急诊患者定义为院外心肺骤停(CPR)。使用多变量逻辑回归分析评估与交通碰撞相关的院外 CPR 的院外因素。
共有 66243 名患者符合分析条件。其中,3390 名(5.1%)患者在到达医院时处于 CPR 状态。多变量逻辑回归模型显示以下因素与院外 CPR 显著相关:60-74 岁(调整后的比值比(AOR)1.256,95%置信区间(CI)为 1.142 至 1.382)和≥75 岁(AOR 1.487,95%CI 为 1.336 至 1.654)、男性(AOR 1.234,95%CI 为 1.139 至 1.338)、夜间(AOR 1.575,95%CI 为 1.458 至 1.702)、周末(包括节假日)(AOR 1.078,95%CI 为 1.001 至 1.161)、农村地区(AOR 1.181,95%CI 为 1.097 至 1.271)、后座乘客(AOR 1.227,95%CI 为 0.985 至 1.528)和行人(AOR 1.754,95%CI 为 1.580 至 1.947)作为患者类型。
在本人群中,与交通碰撞相关的院外 CPR 的相关因素为老年人、男性、夜间、周末/节假日、后座乘客、行人及农村地区。这些基本数据可能有助于降低和预防交通碰撞死亡。