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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03660592
Other study ID # LUS/HF
Secondary ID
Status Completed
Phase
First received
Last updated
Start date October 1, 2016
Est. completion date January 1, 2017

Study information

Verified date March 2022
Source University of Monastir
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Discrimination between cardiac and non-cardiac causes of dyspnea can be challenging, causing excessive delay before adequate therapy. In clinical practice lung ultrasound (LUS) is becoming an easy and reliable noninvasive tool for the evaluation of dyspnea and can shorten the time to diagnosis .However the reproductibility of this test was not extensively studied.


Description:

Dyspnea is one of the most distressing situations for the patient . Emergency cases do not always present in conditions that are ideal for immediate diagnosis, which sometimes compromises outcome. Physical examination, laboratory findings and radiography are imperfect, resulting in a need for sophisticated test results that delay management. Lung ultrasonography is becoming a standard tool in critical cases in the ED. the investigators aim to perform ultrasonography on consecutive patients admitted to the ICU with dyspnea, comparing lung ultrasonography results on initial presentation with the final diagnosis by the ICU team. Three items were assessed: artifacts (horizontal A lines or vertical B lines indicating interstitial syndrome), lung sliding, and alveolar consolidation and/or pleural effusion, these items were grouped to assess ultrasound profiles. This study assesses the potential of lung ultrasonography to diagnose heart failure.The second aim of this study was to evaluate the inter-observer reproducibility of LUS performed by ED residents in the evaluation of cardiac causes of acute dyspnea. Patients presenting to the ED with acute dyspnea will be prospectively enrolled in this study. In each patient, LUS was performed by two ED residents blinded to clinical diagnoses. AHF was determined on the base of clinical exam, chest x-ray , brain natriuretic peptide (BNP) and echocardiographic findings. A patient lung comet score (LCS) was obtained by summing the number of comets in each of the scanned spaces. Then the probability of AHF was defined as : low probability (LCS<15) intermediate probability (15 30 ).


Recruitment information / eligibility

Status Completed
Enrollment 1024
Est. completion date January 1, 2017
Est. primary completion date January 1, 2017
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 90 Years
Eligibility Inclusion Criteria: - non traumatic dyspnea with the final diagnosis of heart failure Exclusion Criteria: - impossibility to give consent to participate in the study - post traumatic dyspnea - pregnant women - need for endotracheal intubation or inotropic drugs - patients who were deemed too unstable for sonography by the treating team

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
University of Monastir

Outcome

Type Measure Description Time frame Safety issue
Primary the reproductibility of LUS in the diagnosis of heart failure the reproductibility of the LUS in the diagnosis of heart failure between two different operators (using the Kappa and the agreement index) 0 days
Primary the accuracy of LUS in the diagnosis of heart failure the accuracy of LUS in the diagnosis of heart failure measured by sensitivity ,specificity, and area under the roc curve the accuracy of LUS in the diagnosis of heart failure measured by sensitivity ,specificity, and area under the roc curve 0 days
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Recruiting NCT04999995 - Diagnostic Potential of UCHL1 in Acute Decompensated Heart Failure
Completed NCT03717779 - Contribution LUS in the Diagnosis of Acute Heart Failure (AHF) in Patients Admitted to the ED
Completed NCT05126940 - Bedside Lung Ultrasonography by Nurses in Acute Dyspnea.
Recruiting NCT04886128 - Improving Diagnostic Accuracy for Acute Heart Failure

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