Athinartrattanapong Natsinee, Yuksen Chaiyaporn, Leela-Amornsin Sittichok, Jenpanitpong Chetsadakon, Wongwaisayawan Sirote, Leelapattana Pittavat
Department of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Department of Radiology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Neurol Res Int. 2021 Mar 18;2021:6658679. doi: 10.1155/2021/6658679. eCollection 2021.
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.
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.
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.
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.
颈椎骨折的发生率约为2% - 5%。在发展中国家,诊断性影像学检查存在若干局限性。计算机断层扫描(CT)无法24小时随时可用,且成本效益不高。本研究旨在开发一种临床工具,用于在没有CT扫描设备的医院中识别那些必须接受CT扫描以评估颈椎骨折的患者。
本研究为诊断预测规则。于2016年8月1日至2018年12月31日在急诊科进行了一项回顾性横断面研究。本研究纳入了所有年龄超过16岁、疑似颈椎损伤并在急诊科接受CT扫描的患者。通过多变量逻辑回归分析建立预测模型和预测评分。
375例患者符合标准。29例(7.73%)在CT扫描中显示颈椎骨折,346例未显示。五个独立因素(即高风险损伤机制、下肢轻瘫、感觉异常、颈部活动范围受限以及合并胸部或面部损伤)被认为是颈椎骨折的良好预测指标。通过将患者分为三个概率组(低,0分;中,1 - 5分;高,6 - 11分)建立了颈椎骨折的临床预测评分,准确率为82.52%。评分在1 - 5分的患者中,颈椎骨折的阳性似然比为1.46。同时,评分在6 - 11分的患者LR +为7.16。
在没有CT扫描设备的医院中,临床预测评分≥1分的创伤性脊柱损伤患者与颈椎骨折相关,应接受CT扫描以评估颈椎骨折。