Actively Recruiting

Phase Not Applicable
Age: 50Years +
All Genders
NCT03691857

Feasibility and Accuracy of an Ultrasound Algorithm for Acute Dyspnea Diagnosis in the Emergency Department

Led by CHOUIHED Tahar · Updated on 2025-01-16

225

Participants Needed

7

Research Sites

226 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

The management of chest pain has revolutionized its prognosis, primarily by improving urgent diagnosis of myocardial infarction. Currently, acute dyspnea is twice as frequent as chest pain and its associated mortality is much higher (16% of acute dyspnea admitted to emergency departments (ED) ). Inappropriate treatment of acute dyspnea in the ED is frequent (30%) and is associated with a tripling of intra-hospital mortality after adjustment for confounding factors (2.83, IC 1.48 to 5.41, p=0.002). Other elements have also highlighted the importance of a quick and appropriate acute dyspnea diagnosis: * The 2015 European Guidelines on acute heart failure emphasize the need for appropriate treatment within 90 minutes after the first medical contact. * Inadequate treatment of chronic bronchitis decompensation is associated with a doubling of intra-hospital mortality. * An initiation of antibiotic treatment within 4 hours of admission for pneumonia is recommended. * 30% of pulmonary embolisms are not diagnosed during the initial emergency department visit, whereas their mortality in the absence of treatment is 25%. Lung, venous and (simplified) cardiac ultrasound is associated with improved diagnostic performance in ED. However, no ultrasound algorithm dedicated to emergency physicians has been formally validated. The Blue Protocol (Lichtenstein et al., Chest 2008) has been validated in intensive care patients with very different phenotypes than those admitted to the ED. Pivetta et al. (Chest 2015) proposed an algorithm focused solely for the diagnosis of heart failure, thus not providing a diagnosis for all the other causes of dyspnea in ED. Finally, Zanbonetti et al. (Chest 2017) proposed an "unguided" ultrasound use, notably integrating inferior vena cava evaluation. However, measuring the inferior vena cava is difficult at the start of ED management when patients are in acute respiratory distress.

CONDITIONS

Official Title

Feasibility and Accuracy of an Ultrasound Algorithm for Acute Dyspnea Diagnosis in the Emergency Department

Who Can Participate

Age: 50Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Men and women 50 years old or older
  • Patients with sudden acute dyspnea not caused by trauma managed in the emergency department
  • Patients affiliated with a social security system
Not Eligible

You will not qualify if you...

  • Patients in cardiac arrest
  • Patients in persistent shock
  • Patients with impaired consciousness (Glasgow Score less than 9)
  • Patients with a history of thoracic surgery or pulmonary fibrosis
  • Patients with dementia
  • Patients with Acute Coronary Syndrome with ST elevation
  • Known current pregnancy
  • Patients under guardianship, trusteeship, or legal protection

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

1
2
3
+1

Trial Site Locations

Total: 7 locations

1

CH de Chalons en Champagne

Châlons-en-Champagne, France, 51000

Actively Recruiting

2

Hôpital Simone Veil

Eaubonne, France, 95602

Actively Recruiting

3

CHRU Nancy

Nancy, France, 54500

Actively Recruiting

4

AP-HP - Hôpital Cochin

Paris, France

Actively Recruiting

5

AP-HP - Hôpital Lariboisière

Paris, France

Actively Recruiting

6

CH de Sarreguemines

Sarreguemines, France, 57200

Withdrawn

7

CHRU de Strasbourg, Hôpital de Hautepierre

Strasbourg, France

Actively Recruiting

Loading map...

Research Team

T

Tahar CHOUIHED, MD

CONTACT

N

Nicolas GIRERD, MD PhD

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NA

Model

SINGLE_GROUP

Primary Purpose

DIAGNOSTIC

Number of Arms

1

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here