Atrial Fibrillation Clinical Trials

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Evaluation of Artificial Intelligence-Assisted Echocardiography (AI-echo) in the Early Diagnosis and Prognostic Stratification of Left Atrial Cardiomyopathy (LACM) in Patients With Acute Cardiac Disease

Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY

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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 85
Healthy Volunteers: f
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• 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.

Locations
Other Locations
Italy
Annunziata Hospital
RECRUITING
Cosenza
Contact Information
Primary
Antonio Curcio, Medicine
antonio.curcio.cardio@unical.it
+390984681877
Time Frame
Start Date: 2025-07-01
Estimated Completion Date: 2025-11-30
Participants
Target number of participants: 45
Related Therapeutic Areas
Sponsors
Leads: University of Calabria

This content was sourced from clinicaltrials.gov