Prehospital factors associated with death on hospital arrival after traffic crash in Japan: a national observational study

• Published in: BMJ open 2019-01, Vol.9 (1), p.e025350-e025350
• Main Authors: Katayama, Yusuke, Kitamura, Tetsuhisa, Kiyohara, Kosuke, Sado, Junya, Hirose, Tomoya, Matsuyama, Tasuku, Kiguchi, Takeyuki, Izawa, Junichi, Nakagawa, Yuko, Shimazu, Takeshi
• Format: Article
• Language: English
• Subjects: Accidents, Traffic - mortality; Adolescent; Adult; Age; Age Distribution; Aged; Bicycling; Casualties; Child; Child, Preschool; Databases, Factual; Emergency Medicine; Emergency Service, Hospital - statistics & numerical data; Epidemiology; Fatalities; Female; Hospitals; Humans; Infant; Infant, Newborn; Injuries; Japan - epidemiology; Lifesaving; Logistic Models; Male; Middle Aged; Mortality; Multivariate Analysis; Observational studies; Out-of-Hospital Cardiac Arrest - mortality; Patients; Pedestrians; Public health; Retrospective Studies; Risk Factors; Roads & highways; Rural areas; Sex Distribution; Surgery; Traffic accidents & safety; Trauma; Urban areas; Young Adult
• ISSN: 2044-6055; 2044-6055
• DOI: 10.1136/bmjopen-2018-025350

ObjectiveAlthough 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.MethodsUsing 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.ResultsIn 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.ConclusionIn 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.