TCTR20230111011已完成不适用
Prediction model for seat position identification using patient profiles, bone fracture and dislocation characteristics in collision and non-collision motorcycle accident in Thailand
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 1,816
研究概览
简要总结
Six final predictors including age, sex, femur fracture, wrist and hand fracture, leg including ankle fracture, and pelvis and lumbar spine fracture were required for the final models. The prediction models had an acceptable level of discrimination (auROCs of 0.79 and 0.77 for collision accident and non-collision accident respectively)
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- N/A (No limit) 至 N/A (No limit)（—）
- 性别
- All
入选标准
- •all record of motorcycle accident patients who experienced road traffic collision with another vehicle (including; collision with 2 wheels motor vehicle (V224, V225), collision with car or pickup truck (V234, V235), collision with heavy transport vehicle (V244, V245) and non-collision transport accident (V284, V285). The injury information codes were based on the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10). Only records with radiographic proof of at least one area of a bone fracture were included.
排除标准
- •Exclusion criteria was patient with unidentified seated position including inconsistent patient reporting or patients unable to report due to the condition of injury.
研究者
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