Prognostic Role of AI-Echo

Recruiting now

Conditions studied: Atrial Cardiomyopathy

In brief

Left atrial cardiomyopathy (LACM) is frequently underdiagnosed but plays a key role in increasing the risk of atrial fibrillation (AF) and thromboembolic events. While atrial strain is a validated marker of LACM, its measurement with conventional echocardiography can be time-consuming and less feasible in acute settings. The use of AI-assisted echocardiography (AI-echo) may help streamline image acquisition and analysis, offering faster and potentially more accurate assessment. This study aims to compare the time required for atrial strain analysis using AI-echo versus standard methods. It also explores how changes in strain parameters (LASr, LASct, LAScd) relate to the onset of AF and in-hospital adverse outcomes, adjusting for comorbidities and conventional echo variables. Main endpoints include time reduction with AI-echo and the association between strain changes and AF, complications, or mortality during hospitalization.

Key facts

Study ID

NCT07009639

Run by

University of Calabria

People needed

45

Starts

2025-07-01

Expected to finish

2025-11-30

Last updated by the study team

2025-08-11

Who can join

Age: 18 and older, up to 85. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age between 18 and 85 years.
• Hospitalization in CCU for acute cardiac pathology (e.g. acute coronary syndrome, acute or exacerbated heart failure, malignant arrhythmias, etc.).
• Ability to provide written informed consent.

You may not qualify if…

• Severe hemodynamic instability, history to contraindicate the execution of the echocardiographic examination.
• Severely inadequate echocardiographic window that precludes atrial or ventricular morpho-functional assessment.
• Inability to continue the study for clinical reasons, logistics or patient refusal.

Where it is running

• "Annunziata" Hospital — Cosenza, Italy (enrolling)

Full record on ClinicalTrials.gov

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