BACKGROUND: Thoracic aortic injury (TAI) is associated with high mortality. It is not practical to evaluate all patients with blunt chest trauma with dedicated aortic imaging. The purpose of this study was to define a group of patients with blunt chest trauma after motor vehicle collision (MVC) that do not require aortic imaging based on information available in the emergency department. METHODS: This was a secondary analysis of a prospectively-collected database. Consecutive patients with blunt chest trauma after MVC were included. Characteristics of mechanism, examination, and chest radiographic findings were collected for each patient. All patients underwent chest computed tomography (CT), aortography, or both for TAI evaluation. Binary recursive partitioning was used to derive and validate a clinical decision rule to predict exclusion of TAI. RESULTS: During the study period, 1,096 patients were included, and 22 (2.0%) were diagnosed with TAI. The decision rule for exclusion of TAI included findings from the chest radiograph, incorporating left paraspinous line displacement, obscured aortic knob, and mediastinal widening. The rule resulted in a sensitivity of 86% (95% confidence interval [CI]: 65% to 97%), a specificity of 77% (95% CI: 75% to 80%), a positive predictive value of 7% (95% CI: 4% to 11%), a negative predictive value (NPV) of 99.6% (95% CI: 99.0% to 99.9%), a positive likelihood ratio of 3.8 (95% CI: 1.1-12.9), and a negative likelihood ratio of 0.18 (95% CI: 0.05-0.61). This would potentially reduce aortic imaging by 76% (95% CI: 74% to 79%). CONCLUSION: We report a clinical decision rule with a high NPV for exclusion of TAI. This may standardize the approach to such patients and may reduce the need for CT.
BACKGROUND: Thoracic aortic injury (TAI) is associated with high mortality. It is not practical to evaluate all patients with blunt chest trauma with dedicated aortic imaging. The purpose of this study was to define a group of patients with blunt chest trauma after motor vehicle collision (MVC) that do not require aortic imaging based on information available in the emergency department. METHODS: This was a secondary analysis of a prospectively-collected database. Consecutive patients with blunt chest trauma after MVC were included. Characteristics of mechanism, examination, and chest radiographic findings were collected for each patient. All patients underwent chest computed tomography (CT), aortography, or both for TAI evaluation. Binary recursive partitioning was used to derive and validate a clinical decision rule to predict exclusion of TAI. RESULTS: During the study period, 1,096 patients were included, and 22 (2.0%) were diagnosed with TAI. The decision rule for exclusion of TAI included findings from the chest radiograph, incorporating left paraspinous line displacement, obscured aortic knob, and mediastinal widening. The rule resulted in a sensitivity of 86% (95% confidence interval [CI]: 65% to 97%), a specificity of 77% (95% CI: 75% to 80%), a positive predictive value of 7% (95% CI: 4% to 11%), a negative predictive value (NPV) of 99.6% (95% CI: 99.0% to 99.9%), a positive likelihood ratio of 3.8 (95% CI: 1.1-12.9), and a negative likelihood ratio of 0.18 (95% CI: 0.05-0.61). This would potentially reduce aortic imaging by 76% (95% CI: 74% to 79%). CONCLUSION: We report a clinical decision rule with a high NPV for exclusion of TAI. This may standardize the approach to such patients and may reduce the need for CT.
Authors: Monique Brink; Jaap Deunk; Helena M Dekker; Michael J R Edwards; Digna R Kool; Arie B van Vugt; Cornelis van Kuijk; Johan G Blickman Journal: Eur Radiol Date: 2009-09-17 Impact factor: 5.315
Authors: Piotr Buczkowski; Mateusz Puslecki; Sebastian Stefaniak; Robert Juszkat; Jerzy Kulesza; Bartłomiej Perek; Marcin Misterski; Tomasz Urbanowicz; Marcin Ligowski; Bartosz Zabicki; Marek Dabrowski; Lukasz Szarpak; Marek Jemielity Journal: J Thorac Dis Date: 2017-11 Impact factor: 2.895
Authors: Shadpour Demehri; Frank J Rybicki; Benoit Desjardins; Chieh-Min Fan; Scott D Flamm; Christopher J Francois; Marie D Gerhard-Herman; Sanjeeva P Kalva; Hyun S Kim; M Ashraf Mansour; Emile R Mohler; Isabel B Oliva; Matthew P Schenker; Clifford Weiss; Karin E Dill Journal: Emerg Radiol Date: 2012-03-18