Safari Saeed, Yousefifard Mahmoud, Baikpour Masoud, Rahimi-Movaghar Vafa, Abiri Samaneh, Falaki Masoomeh, Mohammadi Neda, Ghelichkhani Parisa, Jafari Ali Moghadas, Hosseini Mostafa
Department of Emergency Medicine, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
J Clin Orthop Trauma. 2016 Apr-Jun;7(2):95-100. doi: 10.1016/j.jcot.2016.02.005. Epub 2016 Feb 28.
Thoracic injury rule out criteria (TIRC) were first introduced as a decision instrument for selective chest radiography in blunt thoracic trauma in 2014. However, the validity of this model has not been assessed in other studies. In this regard, the present survey evaluates the validity of TIRC model in a multi-center setting.
In this cross-sectional study, clinical presentations and chest radiograms of multiple trauma patients referring to 6 educational hospitals in Iran were evaluated. Data were gathered prospectively during 2015. In each center, data collection and interpretation of radiograms were conducted by two different emergency medicine specialists. Measures were then taken for assessment of discriminatory power and calibration of the model.
Data from 2905 patients were gathered (73.17% were male; the mean age was 33.53 ± 15.42 years). Area under the receiver operating characteristics curve of the TIRC model for detection of thoracic traumatic injuries was 0.93 (95%CI: 0.93-0.94). Sensitivity and specificity of the model were 100 (98.91-100) and 67.65 (65.76-69.45), respectively. The intercept of TIRC calibration plot was 0.08 (95%CI: 0.07-0.09), and its slope was 1.19 (95%CI: 1.15-1.24), which are indicative of the model being perfect in detecting presence or absence of lesions in chest radiograms.
The findings are corroborative of external validation, good discrimination, and proper calibration of TIRC model in screening of multiple trauma patients for obtaining chest radiograms.
胸外伤排除标准(TIRC)于2014年首次作为钝性胸外伤选择性胸部X线摄影的决策工具引入。然而,该模型的有效性尚未在其他研究中得到评估。在这方面,本调查评估了TIRC模型在多中心环境中的有效性。
在这项横断面研究中,对转诊至伊朗6家教学医院的多发伤患者的临床表现和胸部X线片进行了评估。数据于2015年前瞻性收集。在每个中心,由两名不同的急诊医学专家进行数据收集和X线片解读。然后采取措施评估模型的鉴别力和校准情况。
收集了2905例患者的数据(73.17%为男性;平均年龄为33.53±15.42岁)。TIRC模型检测胸外伤的受试者工作特征曲线下面积为0.93(95%CI:0.93 - 0.94)。该模型的敏感性和特异性分别为100(98.91 - 100)和67.65(65.76 - 69.45)。TIRC校准图的截距为0.08(95%CI:0.07 - 0.09),斜率为1.19(95%CI:1.15 - 1.24),这表明该模型在检测胸部X线片中病变的存在与否方面表现完美。
这些发现证实了TIRC模型在筛选多发伤患者以获取胸部X线片方面的外部验证、良好的鉴别力和适当的校准。