根据 X 光片测量的肿胀情况判断踝关节隐性骨折的概率。

IF 2 Q2 ORTHOPEDICS
Christian Kenneth Kerut, Srikanth Mudiganty, Denise Goodfellow Kerut, Ronald L Horswell, Reagan Williams, Melanie Valencia, Joseph Gonzales
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引用次数: 0

摘要

简介:小儿踝关节损伤是急诊科(ED)的常见病。四分之一的小儿踝关节骨折没有影像学证据显示骨折。医生通常将不负重和触痛与隐匿性骨折联系起来。我们通过这项研究,利用急诊室初诊X光片上的软组织肿胀来预测隐匿性骨折的可能性:本研究是一项回顾性研究,研究对象是 2021 年至 22 年间的一级儿科创伤中心。在X光片上测量外侧踝骨和皮肤之间的软组织肿胀,并记录负重状态。使用Stata软件进行统计分析:研究期间有 32 名患者出现隐匿性骨折,其中 8 人(25%)在随访拍片时被确诊为骨折。使用计算机生成的预测模型计算了隐匿性骨折的概率与踝关节肿胀(毫米)的函数关系。假阴性率和假阳性率与踝关节肿胀程度呈函数关系:结论:在急诊室最初的 X 光片上测量的踝关节软组织肿胀程度可预测隐性骨折。虽然负重状态不是隐性骨折的征兆,但它能提高软组织肿胀的预测准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probability of Occult Ankle Fracture Based on Radiograph-Measured Swelling.

Introduction: Pediatric ankle injuries are a common presentation in the emergency department (ED). A quarter of pediatric ankle fractures show no radiographic evidence of a fracture. Physicians often correlate non-weight bearing and tenderness with an occult fracture. We present this study to predict the probability of an occult fracture using radiographic soft-tissue swelling on initial ED radiographs.

Methods: This is a retrospective study at a Level 1 pediatric trauma center from 2021 to 22. Soft-tissue swelling between the lateral malleolus and skin was measured on radiographs, and weight-bearing status was documented. Statistical analysis was conducted using Stata software.

Discussion: The study period involved 32 patients with an occult fracture, with 8 (25%) diagnosed with a fracture on follow-up radiographs. The probability of an occult fracture was calculated as a function of the ankle swelling in millimeters (mm) using a computer-generated predictive model. False-negative and false-positive rates were plotted as a function of the degree of ankle swelling.

Conclusion: Magnitude of ankle soft-tissue swelling as measured on initial ED radiographs is predictive of an occult fracture. Although weight-bearing status was not a sign of occult fracture, it improves the predictive accuracy of soft-tissue swelling.

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来源期刊
CiteScore
2.60
自引率
6.70%
发文量
282
审稿时长
8 weeks
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