Diagnostic performance of a clinical ultrasound-based algorithm for acute heart failure in patients presenting to the emergency department with dyspnea.

Autor:	L'Hermitte N; Montpellier University, UR UM 103 IMAGINE, Emergency Department, Nîmes University Hospital, Nîmes, Francia., Markarian T; Department of Emergency Medicine, Timone University Hospital, Marsella, Francia. UMR 1263 Center of Cardiovascular and Nutrition Research (C2VN), Aix-Marseille University, INSERM, INRAE, Marsella, Francia., Grau-Mercier L; Montpellier University, UR UM 103 IMAGINE, Emergency Department, Nîmes University Hospital, Nîmes, Francia., Coisy F; Montpellier University, UR UM 103 IMAGINE, Emergency Department, Nîmes University Hospital, Nîmes, Francia., Muller L; Montpellier University, EA2992 IMAGINE, Department of Anesthesiology, Emergency and Critical Care Medicine, Intensive Care Unit, Nîmes University Hospital, Nîmes, Francia., Saadi L; Montpellier University, EA2992 IMAGINE, Department of Anesthesiology, Emergency and Critical Care Medicine, Intensive Care Unit, Nîmes University Hospital, Nîmes, Francia., Claret PG; Montpellier University, UR UM 103 IMAGINE, Emergency Department, Nîmes University Hospital, Nîmes, Francia., Krebs H; Montpellier University, UR UM 103 IMAGINE, Emergency Department, Nîmes University Hospital, Nîmes, Francia., Bobbia X; Montpellier University, UR UM 103 IMAGINE, Emergency Department, Montpellier University Hospital, Montpellier, Francia.
Jazyk:	Spanish; Castilian; English
Zdroj:	Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias [Emergencias] 2024 Apr; Vol. 36 (2), pp. 109-115.
DOI:	10.55633/s3me/011.2024
Abstrakt:	Objectives: To study the diagnostic performance of an ultrasound-based algorithm that includes the deceleration time (DT) of early mitral filling to establish a diagnosis of acute heart failure (AHF) in patients who come to an emergency department because of dyspnea. Material and Methods: Prospective analysis in a convenience sample of patients who came to a hospital emergency department with acute dyspnea. The algorithm included ultrasound findings and 4 echocardiographic findings as follows: mitral annular plane systolic excursion, Doppler mitral flow velocity, tissue Doppler imaging measure of the lateral annulus, and the DT of early mitral filling. The definitive diagnosis was made by 2 physicians blinded to each other's diagnosis and the ultrasound findings. Results: A total of 166 adult patients with a mean (SD) age of 76 (13) years were included; 79 (48%) were women. AHF was the definitive diagnosis in 62 patients (37%). Diagnostic agreement was good between the 2 physicians (κ = 0.71). The algorithm classified all the patients, and there were no undetermined diagnoses. Diagnostic performance indicators for the ultrasound-based algorithm integrating early DT findings were as follows: area under the receiver operating characteristic curve, 0.91 (95% CI, 0.86-0.96); sensitivity, 87% (95% CI, 76%-94%); specificity, 95% (95% CI, 89%-98%); positive likelihood ratio, 18.1 (95% CI, 7.7-42.8); and negative likelihood ratio, 0.14 (95% CI, 0.07-0.26). Conclusion: The ultrasound-based algorithm integrating the DT of early mitral filling performs well for diagnosing AHF in emergency patients with dyspnea. The inclusion of early DT allows all patients to be diagnosed.
Databáze:	MEDLINE
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