Diagnostic accuracy of Point Of Care UltraSound (POCUS) in clinical practice: A retrospective, emergency department based study

Author:

Spampinato Michele Domenico12ORCID,Luppi Francesco1ORCID,Cristofaro Enrico12,Benedetto Marcello12,Cianci Antonella12,Bachechi Tommaso12,Ghirardi Caterina12,Perna Benedetta1,Guarino Matteo12,Passaro Angelina1,De Giorgio Roberto12,Sofia Soccorsa3

Affiliation:

1. Department of Translational Medicine University of Ferrara Ferrara Italy

2. School of Emergency Medicine University of Ferrara Ferrara Italy

3. Emergency Department Maggiore Hospital, AUSL di Bologna Bologna Italy

Abstract

AbstractAimsPoint‐of‐care ultrasound (POCUS) is the acquisition and interpretation of ultrasound imaging at the bedside to solve specific clinical questions based on signs and symptoms of presentation. While several studies evaluated POCUS diagnostic accuracy for a variety of clinical pictures in the emergency department (ED), only a few data are available on POCUS diagnostic accuracy performed by physicians with different POCUS skills. The objective of this research was to evaluate the diagnostic accuracy of POCUS compared to standard diagnostic imaging in the ED.Materials and MethodsThis was a retrospective study conducted in the ED of a third‐level university hospital. Patients who underwent cardiac, thoracic, abdominal, or venous lower limb POCUS and a standard imaging examination between June 2021 and January 2022 were included.Results1047 patients were screened, and 844 patients included. A total of 933 POCUS was included (102, 12.09%, cardiac; 466, 55.21%, thoracic; 336, 39.8%, abdominal; 29, 3.44%, lower limb venous POCUS), accounting for 2029 examinations. POCUS demonstrated 96.6% (95% CI 95.72–97.34) accuracy, 47.73 (95% CI 33.64–67.72) +LR, 0.09 (95% CI 0.06–0.12) −LR. +LR was greater than 10 for all investigations but for hydronephrosis (5.8), and −LR never exceeded 0.4.ConclusionsPOCUS exhibited high diagnostic accuracy for virtually all conditions when performed by emergency department physicians.

Funder

Università degli Studi di Ferrara

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3