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一种将计算机断层扫描降至最低的儿科颈椎检查算法的敏感度和阴性预测值。

The sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm that minimizes computerized tomography.

作者信息

Arbuthnot Mary, Mooney David P

机构信息

Boston Children's Hospital, Department of Surgery, Harvard Medical School, 300 Longwood Ave, Fegan 3, Boston, MA 02115.

出版信息

J Pediatr Surg. 2017 Jan;52(1):130-135. doi: 10.1016/j.jpedsurg.2016.10.031. Epub 2016 Oct 27.

Abstract

BACKGROUND

It is crucial to identify cervical spine injuries while minimizing ionizing radiation. This study analyzes the sensitivity and negative predictive value of a pediatric cervical spine clearance algorithm.

METHODS

We performed a retrospective review of all children <21years old who were admitted following blunt trauma and underwent cervical spine clearance utilizing our institution's cervical spine clearance algorithm over a 10-year period. Age, gender, International Classification of Diseases 9th Edition diagnosis codes, presence or absence of cervical collar on arrival, Injury Severity Score, and type of cervical spine imaging obtained were extracted from the trauma registry and electronic medical record. Descriptive statistics were used and the sensitivity and negative predictive value of the algorithm were calculated.

RESULTS

Approximately 125,000 children were evaluated in the Emergency Department and 11,331 were admitted. Of the admitted children, 1023 patients arrived in a cervical collar without advanced cervical spine imaging and were evaluated using the cervical spine clearance algorithm. Algorithm sensitivity was 94.4% and the negative predictive value was 99.9%. There was one missed injury, a spinous process tip fracture in a teenager maintained in a collar.

CONCLUSIONS

Our algorithm was associated with a low missed injury rate and low CT utilization rate, even in children <3years old.

LEVEL OF EVIDENCE

IV.

摘要

背景

在尽量减少电离辐射的同时识别颈椎损伤至关重要。本研究分析了一种儿科颈椎评估算法的敏感性和阴性预测值。

方法

我们对所有21岁以下因钝性创伤入院并在10年期间使用我院颈椎评估算法进行颈椎评估的儿童进行了回顾性研究。从创伤登记处和电子病历中提取年龄、性别、国际疾病分类第九版诊断代码、入院时是否佩戴颈托、损伤严重程度评分以及所获得的颈椎成像类型。采用描述性统计方法,并计算该算法的敏感性和阴性预测值。

结果

急诊科共评估了约125,000名儿童,其中11,331名入院。在入院儿童中,1023例患者入院时佩戴颈托但未进行高级颈椎成像,并使用颈椎评估算法进行评估。该算法的敏感性为94.4%,阴性预测值为99.9%。有1例漏诊损伤,为一名佩戴颈托的青少年的棘突尖骨折。

结论

即使在3岁以下儿童中,我们的算法也具有较低的漏诊率和较低的CT使用率。

证据级别

IV级。

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