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目的:探讨儿童交通事故伤的特点,指导临床诊断与救治。方法:对309例儿童交通事故伤进行回顾性研究,用创伤严重度改良评分法(RISS)对伤情和损伤程度进行评价,就性别、年龄、受伤时间、致伤方式、损伤部位、伤情严重度、治疗及结果等逐项分门别类进行统计分析。鲒果:男多于女,7岁-15岁占62.46%。每日8时左右,11时-12时、16时-18时为三个受伤高峰时间段。致伤方式以机动车撞击行人较多(60.84%),其次为自行车自身事故(14.89%),再次为机动车撞击自行车(10.03%)。损伤部位最常见的是四肢(51.53%),颅脑伤次之(27.81%)。损伤类型以骨折多见,软组织挫裂伤亦占有较大比例。多发伤占20.06%,死亡率为3.24%。RISS评估显示,RISS≥16(重伤)占29.12%,其中机动车冲撞自行车重伤所占比率最高(51.61%),机动车冲撞行人次之(29.79%),自行车自身事故居第三位(26.09%)。结论:不同致伤条件儿童交通事故的发生情况及致伤特点各不相同,性别、年龄、致伤方式、车辆类型、行车速度的不同,其损伤部位,伤情程度及治疗结果存在明显差异。
Objective: To investigate the characteristics of child traffic accidents and to guide the clinical diagnosis and treatment. Methods: A retrospective study of 309 children with traffic accidents was conducted. RISS was used to evaluate the extent of injuries and injuries. The results were analyzed in terms of gender, age, duration of injury, ways of injury, injury sites, injuries Severity, treatment and results were categorized into different categories for statistical analysis. Mango: more men than women, 7-year-old accounted for 62.46% of 15 years. About 8 o’clock each day, 11 o’clock to 12 o’clock, 16 o’clock at 18 o’clock for the three injured peak time period. Injuries were more hit by motor vehicles (60.84%), followed by bicycle accidents (14.89%) and motorbikes (10.03%) again. The most common injuries were limbs (51.53%) and craniocerebral injuries (27.81%). Fracture more common type of injury, soft tissue laceration also occupy a larger proportion. Multiple injuries accounted for 20.06%, the mortality rate was 3.24%. The RISS assessment showed that RISS≥16 (seriously injured) accounted for 29.12% of the total, among which motorcycles had the highest rate of serious injuries (51.61%), motorcycles (29.79%) and bicycle accidents (26.09% ). Conclusion: The incidence of traffic accidents and the trauma characteristics of children with different traumatic conditions are different. There are significant differences in the locations of injury, degree of injury and treatment outcome among the children with different traumatic conditions, such as gender, age, manner of injury, type of vehicle and driving speed.