Prediction Score for Cervical Spine Fracture in Patients with Traumatic Neck Injury.

IF 1.7 Q4 NEUROSCIENCES
Neurology Research International Pub Date : 2021-03-18 eCollection Date: 2021-01-01 DOI:10.1155/2021/6658679
Natsinee Athinartrattanapong, Chaiyaporn Yuksen, Sittichok Leela-Amornsin, Chetsadakon Jenpanitpong, Sirote Wongwaisayawan, Pittavat Leelapattana
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引用次数: 2

Abstract

Background: Cervical spine fracture is approximately 2%-5%. Diagnostic imaging in developing countries has several limitations. A computed tomography scan is not available 24 hours and not cost-effective. This study aims to develop a clinical tool to identify patients who must undergo a computed tomography scan to evaluate cervical spine fracture in a noncomputed tomography scan available hospital.

Methods: The study was a diagnostic prediction rule. A retrospective cross-sectional study was conducted between August 1, 2016, and December 31, 2018, at the emergency department. This study included all patients aged over 16 years who had suspected cervical spine injury and underwent a computed tomography scan at the emergency department. The predictive model and prediction scores were developed via multivariable logistic regression analysis.

Results: 375 patients met the criteria. 29 (7.73%) presented with cervical spine fracture on computed tomography scan and 346 did not. Five independent factors (i.e., high-risk mechanism of injury, paraparesis, paresthesia, limited range of motion of the neck, and associated chest or facial injury) were considered good predictors of C-spine fracture. The clinical prediction score for C-spine fracture was developed by dividing the patients into three probability groups (low, 0; moderate, 1-5; and high, 6-11), and the accuracy was 82.52%. In patients with a score of 1-5, the positive likelihood ratio for C-spine fracture was 1.46. Meanwhile, those with a score of 6-11 had an LR+ of 7.16.

Conclusion: In a noncomputed tomography scan available hospital, traumatic spine injuries patients with a clinical prediction score ≥1 were associated with cervical spine fracture and should undergo computed tomography scan to evaluate C-spine fracture.

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外伤性颈损伤患者颈椎骨折预测评分。
背景:颈椎骨折发生率约为2%-5%。发展中国家的诊断成像存在一些局限性。计算机断层扫描不是24小时可用的,也不划算。本研究旨在开发一种临床工具,以确定在可用的非计算机断层扫描医院中必须接受计算机断层扫描以评估颈椎骨折的患者。方法:采用诊断预测法。回顾性横断面研究于2016年8月1日至2018年12月31日在急诊科进行。本研究包括所有年龄在16岁以上怀疑颈椎损伤并在急诊科接受计算机断层扫描的患者。通过多变量logistic回归分析建立预测模型和预测评分。结果:375例患者符合标准。29例(7.73%)在计算机断层扫描中表现为颈椎骨折,346例未见骨折。五个独立因素(即损伤的高危机制、麻痹、感觉异常、颈部活动范围受限以及相关的胸部或面部损伤)被认为是颈椎骨折的良好预测因素。颈椎骨折的临床预测评分通过将患者分为三个概率组(低,0;温和,1 - 5;6-11),准确率为82.52%。在1-5分的患者中,c -脊柱骨折的阳性似然比为1.46。与此同时,那些得分为6-11分的人的LR+为7.16。结论:在可进行非计算机断层扫描的医院,临床预测评分≥1分的外伤性脊柱损伤患者与颈椎骨折相关,应进行计算机断层扫描来评估颈椎骨折。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
0.00%
发文量
10
审稿时长
17 weeks
期刊介绍: Neurology Research International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies focusing on diseases of the nervous system, as well as normal neurological functioning. The journal will consider basic, translational, and clinical research, including animal models and clinical trials.
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