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Идёт набор NCT07479992

Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram Study

Наблюдательное Aortic Stenosis

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Willem AI ECG assessment.
Кому может быть актуально
Состояния в реестре: Aortic Stenosis. Базовые параметры: от 18 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Германия
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
Официальное название

Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram (Willem AoS-SEDAI) Study

Обзор

AoS-SEDAI study is an observational, multicenter, retrospective and prospective clinical study. This study aims to assess Willem Artificial Intelligence (AI) ability to distinguish between aortic stenosis (AS) and non-AS patients from 12-lead electrocardiogram (ECG) data.

Подробное описание

Aortic Stenosis (AS) is a common and progressive valvular heart disease, especially in older adults, yet significantly underdiagnosed. Many individuals with significant AS may remain asymptomatic for extended periods or experience vague symptoms, delaying diagnosis for several years. In some cases, sudden cardiac events or decompensation may be the first indication of advanced AS, particularly in those who have not undergone regular cardiovascular evaluation.

The primary method for diagnosing AS is echocardiography, which allows visualization of valve anatomy and assessment of transvalvular gradients. However, reliance on symptom reporting or late-stage signs, that trigger a provider to order an echo, can result in missed opportunities for earlier detection. Additionally, electrocardiographic changes-such as left ventricular hypertrophy or strain patterns-can often be detected before structural abnormalities are visible on imaging studies. This delay between electrical changes evolution and later structural findings creates a valuable opportunity to intervene sooner, for example with a valve replacement. This diagnostic latency highlights a critical window where early identification through Artificial Intelligence (AI) analysis of electrocardiograms (ECGs) and timely referral to cardiology can significantly alter disease trajectory and improve outcomes, especially in primary care and community health settings.

AoS-SEDAI study is an observational, retrospective and prospective, multicenter clinical study. Even though controls will be distinguished from AS patients for ground truth and performance evaluation, this is a single-arm study since there are no differences in study interventions.

Вмешательства

  • Устройство Willem AI ECG assessment
    There is no study intervention. The Willem AI platform will assess all study electrocardiograms (ECGs) for the identification of aortic stenosis. Regardless of retrospective or prospective enrollment, Willem output will not be provided to the healthcare professional user for clinical evaluation, and therefore routine practice will not be impacted nor altered.

Первичные конечные точки

  • Willem performance to detect severe Aortic Stenosis [Срок оценки: ECG will be performed at baseline, and ECG analysis by Willem AI will be performed retrospectively throughout the trial, and finalized upon recruitment completion.]
Вторичные конечные точки (1)
  • Willem performance to detect moderate Aortic Stenosis [Срок оценки: ECG will be performed at baseline, and ECG analysis by Willem AI will be performed retrospectively throughout the trial, and finalized upon recruitment completion.]

Критерии участия

Критерии включения

  • Age ≥ 18 years;
  • All available 12-lead ECG with a 10 seconds minimum length on raw data digital format will be included
  • Available clinical data corresponding to each ECG to confirm patient demographics and Aortic Stenosis diagnosis
  • Available transthoracic echocardiogram (TTE) within +/- 90 days of each ECG recording

No exclusion criteria are defined for this study.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Модель наблюдения
Случай-контроль

Центры проведения

Германия · 2 центра
  • Universitätsklinikum Bonn — Bonn
  • Technical University of Munich — Munich

Идентификаторы

NCT: NCT07479992 · AoS-SEDAI_01

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗