Performance of an ultrasound diagnostic algorithm for acute dyspneic patients in the emergency department: an EMERALD-US protocol

急诊科急性呼吸困难患者超声诊断算法的性能:EMERALD-US 方案

阅读:1

Abstract

INTRODUCTION: Dyspnoea frequently leads to admissions in the Emergency Department (ED). Rapid and accurate diagnosis, specifically to distinguish acute heart failure from pneumonia and exacerbations of chronic obstructive pulmonary disease (COPD), is imperative to initiate appropriate therapy. This study aims to evaluate the feasibility and performance of the EMERgency ALgorithm efficiency for Dyspneic patient-UltraSound (EMERALD-US) algorithm using ultrasound (US) to diagnose the etiology of dyspnea in the ED-admitted patients. METHOD AND ANALYSIS: 225 patients of 50 years and above, presenting with acute non-traumatic dyspnoea, across six participating EDs will be enrolled. Patients will undergo a lung, a simplified four-chamber cardiac and a venous US. A physician, blinded to any clinical data or previous results, will execute the algorithm. The algorithm's performance will be assessed using a receiver operating characteristic (ROC) curve. Secondary objectives include an evaluation of the protocol's feasibility in the ED, an assessment of the concordance between the EMERALD-US algorithm diagnoses and results from other diagnostic tests (including laboratory work and imaging), as well as an evaluation of the algorithm's performance in diagnosing other causes of dyspnoea, such as pulmonary embolism or pleural effusion, and the 30-day mortality rate. ETHICS AND DISSEMINATION: The study protocol was approved by the French Committee for the Protection of Persons (CPP) (RCB n°2018-A02136-49). Misdiagnosis of dyspneic patients on ED admission has been associated with inappropriate treatment, prolonged hospital stays and increased mortality, particularly among elderly patients. The implementation of protocols like the EMERALD-US algorithm can help physicians in expedited decision-making and diagnosis without increasing ED visit durations. TRIAL REGISTRATION NUMBER: NCT03691857.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。