Literature DB >> 29402426

Thoracic injury rule out criteria and NEXUS chest in predicting the risk of traumatic intra-thoracic injuries: A diagnostic accuracy study.

Saeed Safari1, Fatemeh Radfar2, Alireza Baratloo3.   

Abstract

INTRODUCTION: This study aimed to compare the diagnostic accuracy of NEXUS chest and Thoracic Injury Rule out criteria (TIRC) models in predicting the risk of intra-thoracic injuries following blunt multiple trauma.
METHODS: In this diagnostic accuracy study, using the 2 mentioned models, blunt multiple trauma patients over the age of 15 years presenting to emergency department were screened regarding the presence of intra-thoracic injuries that are detectable via chest x-ray and screening performance characteristics of the models were compared.
RESULTS: In this study, 3118 patients with the mean (SD) age of 37.4 (16.9) years were studied (57.4% male). Based on TIRC and NEXUS chest, respectively, 1340 (43%) and 1417 (45.4%) patients were deemed in need of radiography performance. Sensitivity, specificity, and positive and negative predictive values of TIRC were 98.95%, 62.70%, 21.19% and 99.83%. These values were 98.61%, 59.94%, 19.97% and 99.76%, for NEXUS chest, respectively. Accuracy of TIRC and NEXUS chest models were 66.04 (95% CI: 64.34-67.70) and 63.50 (95% CI: 61.78-65.19), respectively.
CONCLUSION: TIRC and NEXUS chest models have proper and similar sensitivity in prediction of blunt traumatic intra-thoracic injuries that are detectable via chest x-ray. However, TIRC had a significantly higher specificity in this regard.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Decision support techniques; Diagnostic imaging; Multiple trauma; Radiography; Thoracic injuries; thoracic

Mesh:

Year:  2018        PMID: 29402426     DOI: 10.1016/j.injury.2018.01.031

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  1 in total

1.  Epidemiological Features of Injured Patients Examined by Tehran Emergency Medical Service Technicians.

Authors:  Peyman Saberian; Amir Reza Farhoud; Parisa Hasani-Sharamin; Maryam Moghaddami; Fatemeh Keshvari
Journal:  Adv J Emerg Med       Date:  2019-06-25
  1 in total

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