Comparative study of National Emergency X-Radiography Utilization Study (NEXUS) chest algorithm and extended focused assessment with sonography for trauma (E-FAST) in the early detection of blunt chest injuries in polytrauma patients.

Blunt chest trauma E-FAST Hemothorax NEXUS Pneumothorax

Journal

African journal of emergency medicine : Revue africaine de la medecine d'urgence
ISSN: 2211-4203
Titre abrégé: Afr J Emerg Med
Pays: Netherlands
ID NLM: 101572277

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 21 07 2022
revised: 23 10 2022
accepted: 15 02 2023
entrez: 20 3 2023
pubmed: 21 3 2023
medline: 21 3 2023
Statut: ppublish

Résumé

Chest imaging plays a prominent role in the assessment of patients with blunt trauma. Selection of the right approach at the right time is fundamental in the management of patients with blunt chest trauma The aim of this study was to compare the accuracy of extended- focused assessment with sonography for trauma (E-FAST) to that of the National Emergency X-Radiography Utilisation Study (NEXUS) chest algorithm in detecting blunt chest injuries. This descriptive cross-sectional study included 50 polytrauma patients with blunt chest trauma from the emergency centre of Suez Canal University Hospital. E-FAST and computed tomography (CT) were conducted, followed by reporting of NEXUS criteria for all patients. Blinding of the E-FAST performer and CT reporter were confirmed. The results of both the NEXUS algorithm and E-FAST were compared with CT chest results. The NEXUS algorithm had 100% sensitivity and 15.3% specificity, and E-FAST had 70% sensitivity and 96.7% specificity, in the detection of pneumothorax.In the detection of hemothorax, the sensitivity and specificity of the NEXUS algorithm were 90% and 7.5%, respectively, whereas E-FAST had a lower sensitivity of 80% and a higher specificity of 97.5%. E-FAST is highly specific for the detection of hemothorax, pneumothorax, and chest injuries compared with the NEXUS chest algorithm, which demonstrated the lowest specificity. However, the NEXUS chest algorithm showed a higher sensitivity than E-FAST and hence can be used effectively to rule out thoracic injury.

Identifiants

pubmed: 36937618
doi: 10.1016/j.afjem.2023.02.003
pii: S2211-419X(23)00008-3
pmc: PMC10014268
doi:

Types de publication

Journal Article

Langues

eng

Pagination

52-57

Informations de copyright

© 2023 The Authors. Published by Elsevier B.V. on behalf of African Federation for Emergency Medicine.

Déclaration de conflit d'intérêts

This work was funded by the National Institutes of Health, Fogarty International Center, Bethesda, MD (grant number, 2D43TW007296). The authors declare that they have no other competing interests.

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Auteurs

Yasmin Z Attia (YZ)

Emergency Medicine Department, Suez Canal University, Ismailia, Egypt.

Nashwa M Abd Elgeleel (NMA)

Emergency Medicine Department, Suez Canal University, Ismailia, Egypt.

Hazem M El-Hariri (HM)

Community Medicine Department, National Research Centre, Cairo, Egypt.

Gouda M Ellabban (GM)

General Surgery Department, Suez Canal University, Ismailia.

Maged El-Setouhy (M)

Department of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Department of Community, Environmental and Occupational medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Department of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD, United States of America.

Jon Mark Hirshon (JM)

Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.

Adel H Elbaih (AH)

Emergency Medicine Department, Suez Canal University, Ismailia, Egypt.

Mohamed El-Shinawi (M)

Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Vice President of Galala University, Egypt.
General Surgery Department, Ain Shams University, Egypt.

Classifications MeSH