4.5 Article Proceedings Paper

Prediction of blunt traumatic injury in high-acuity patients: bedside examination vs computed tomography

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AMERICAN JOURNAL OF EMERGENCY MEDICINE
卷 29, 期 1, 页码 1-10

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W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.ajem.2009.05.025

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Objective: The addition of spiral computed tomography (SCT) to bedside assessment in patients with major trauma may improve detection of significant injury. We hypothesized that in high-acuity trauma patients, emergency physicians' ability to detect significant injuries based solely on bedside assessment would lack the sensitivity needed to exclude serious injuries when compared with SCT. Methods: This was a prospective single-cohort study of high-acuity trauma patients routinely undergoing whole-body SCT at a level 1 trauma center from January to September 2006. Before SCT, emergency physicians assigned ratings for likelihood of injury to 5 body regions on the basis of bedside assessment. These ratings were compared with final SCT interpretations. Results: We enrolled 400 patients as a convenience sample; 71 were excluded. When a very low rating was considered negative and low, intermediate, high, and very high were considered positive, emergency physicians were able to detect head, cervical spine, chest, abdominal/pelvic, and thoracic/lumbar spine injuries with sensitivities (95% confidence interval) of 100% (98.6%-100%), 97.4% (94.9%-98.8%), 96.9% (94.2%-98.4%), 97.9% (95.5%-99.1%), and 97.0% (94.3%-98.5%), respectively. For overall diagnostic accuracy, areas under the receiver operating characteristics curve (95% confidence interval) were 0.87 (0.82-0.92), 0.71 (0.62-0.81), 0.81 (0.76-0.86), 0.77(0.71-0.83), 0.74 (0.65-0.84), respectively. Conclusions: Bedside assessment by emergency physicians before SCT was sensitive in ruling out serious injuries in high-acuity trauma patients with a very low rating for injury. However, overall diagnostic accuracy was low, suggesting that SCT should be considered in most high-acuity patients to prevent missing injuries. (C) 2011 Elsevier Inc. All rights reserved.

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