Avertissement: Ce site agrège des données publiques officielles provenant de la FDA, ClinicalTrials.gov, PubMed et SEC EDGAR à titre de référence générale uniquement. Il ne constitue pas un avis médical, un diagnostic, une recommandation de traitement ni un conseil en investissement.

Essai clinique

ECG-based AI Screening for Cases of Undiagnosed Moderate-to-Severe Aortic Stenosis in the Primary Care Setting

NCT : NCT07827105 · ENROLLING_BY_INVITATION

ID NCTNCT07827105
StatutENROLLING_BY_INVITATION
Date de début2026-08-21
SponsorAccurKardia, Inc. (INDUSTRY)
First posted
Last updated

Résumé succinct

The goal of this observational study is to learn whether AccurKardia's AK-AVS algorithm can help identify moderate-to-severe aortic stenosis (AS), a narrowing of the heart's aortic valve, in older adults who have not yet been diagnosed. The main question it aims to answer is if AK-AVS can correctly identify participants who have undiagnosed moderate-to-severe aortic stenosis, based on a routine heart tracing (electrocardiogram). Approximately 4,000 electrocardiograms (ECGs) already collected as part of routine primary care, urgent care, or emergency room visits will be reviewed by the AK-AVS algorithm. Patients whose ECGs are flagged as showing a possible sign of aortic stenosis will be invited to complete a symptom questionnaire, a physical exam, and heart ultrasound (echocardiogram) to confirm whether aortic stenosis is present.

Source officielle

Voir sur ClinicalTrials.gov →

Données issues de l’API ClinicalTrials.gov. Pour connaître le statut le plus récent, consultez la fiche officielle.

↑