首页> 外文期刊>Journal of the American College of Surgeons >Predicting Pediatric Patients Who Require Care at a Trauma Center: Analysis of Injuries and Other Factors
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Predicting Pediatric Patients Who Require Care at a Trauma Center: Analysis of Injuries and Other Factors

机译:预测在创伤中心需要照顾的小儿患者:伤害和其他因素分析

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Background Triage decision correctness for children in motor vehicle crashes can be affected by occult injuries. There is a need to develop a transfer score (TS) metric for children that can help quantify the likelihood that an injury is present that would require transfer to a trauma center (TC) from a non-TC, and improve triage decision making. Ultimately, the TS metric might be useful in an advanced automatic crash notification algorithm, which uses vehicle telemetry data to predict the risk of serious injury after a motor vehicle crash using an approach that includes metrics to describe injury severity, time sensitivity, and predictability. Study Design Transfer score metrics were calculated in 4 pediatric age groups (0 to 4, 5 to 9, 10 to 14, 15 to 18 years) for the most frequent motor vehicle crash injuries using the proportions of children transferred to a TC or managed at a non-TC using the National Inpatient Sample years 1998 to 2007. To account for the maximum Abbreviated Injury Scale (MAIS) injury, a co-injury adjusted transfer score (TS MAIS ) was calculated. The TS and TS MAIS range from 0 to 1, with 1 indicating highly transferred injuries. Results Injuries in younger patients were more likely to be transferred (median TS 0.48, 0.35, 0.25, and 0.23 for 0 to 4, 5 to 9, 10 to 14, and 15 to 18 years, respectively). Injuries more likely to be transferred in younger children occurred in the thorax and abdomen. Regardless of age, spine (median TS MAIS 0.59), head (median TS MAIS 0.48), and thorax (median TS MAIS 0.46) injuries had the highest frequency for transfer. Conclusions The TS metrics quantitatively describe age-specific transfer practices for children with particular injuries. This information can be useful in advanced automatic crash notification systems to alert first responders to the possibility of occult injuries and reduce undertriage of commonly missed injuries.
机译:背景分类决策机动车崩溃儿童的正确性可能受到隐匿受伤的影响。需要开发能够帮助量化伤害所需的可能性,以便从非TC转移到创伤中心(TC)的可能性,以及改善分类决策。最终,TS度量可能在先进的自动碰撞通知算法中使用,该通知算法使用车辆遥测数据预测机动车辆崩溃后使用包括指标来描述伤害严重程度,时间敏感性和可预测性的方法严重伤害的风险。研究设计转移评分指标在4个儿科年龄组(0至4,5至9,10至14,14,15至14岁),用于使用转移到TC的儿童的比例或管理的最常见的机动车撞击伤非TC使用1998年至2007年的全国住院病人样本年。要考虑最大缩写伤害规模(MAIS)伤害,计算了一项损伤调整后转移得分(TS MAI)。 TS和TS MAI的范围为0至1,1表示高度转移损伤。结果较年轻患者的损伤更容易转移(中位数TS 0.48,0.35,0.25和0.23分别为0至4,5至9,10至14和15至18岁)。在胸部和腹部发生在年轻儿童中更容易转移的伤害。无论年龄段,脊柱(中位数Ts Mais 0.59),头(中位数Ts Mais 0.48),胸部(中位数Ts Mais 0.46)损伤的转移频率最高。结论TS指标定量描述了伤害伤害的儿童年龄特异性转移实践。这些信息可以在先进的自动碰撞通知系统中有用,以提醒第一响应者对隐匿性伤害的可能性,并减少常用伤害的有利。

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