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Trauma mechanism predicts the frequency and the severity of injuries in blunt trauma patients

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Figshare2017-08-01 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Trauma_mechanism_predicts_the_frequency_and_the_severity_of_injuries_in_blunt_trauma_patients/6991484
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ABSTRACT Objective: to study the correlation of trauma mechanism with frequency and severity of injuries in blunt trauma patients. Methods: retrospective analysis of trauma registry in a 15-month period was carried out. Trauma mechanism was classified into six types: occupants of four-wheeled vehicles involved in road traffic accidents (AUTO), pedestrians struck by road vehicles (PED), motorcyclists involved in road traffic accidents (MOTO), falls from height (FALL), physical assault with blunt instruments (ASSA) and falls on same level (FSL). Injuries with AIS>2 were considered severe. One-way ANOVA, Students t and Chi-square tests were used for statistical analysis, considering p
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2017-08-01
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