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临床试验

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

NCT:NCT07827105 · ENROLLING_BY_INVITATION

NCT编号NCT07827105
状态ENROLLING_BY_INVITATION
开始日期2026-08-21
SponsorAccurKardia, Inc. (INDUSTRY)
First posted
Last updated

简要摘要

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.

官方来源

在 ClinicalTrials.gov 上查看 →

数据来自 ClinicalTrials.gov API。有关最新状态,请参阅官方记录。

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