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临床试验/NCT07398950
NCT07398950Enrolling By Invitation不适用

Prospective Evaluation of Artificial Intelligence-enabled Screening for Transthyretin Amyloid Cardiomyopathy (ATTR-CM): TRACE-AI Prospective Study

Yale University2 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2026年7月31日最近更新:
适应症

试验速览

阶段
不适用
状态
Enrolling By Invitation
发起方
入组人数
150
试验地点
2
主要终点
Performance of the sequential screening approach

研究概览

简要总结

The TRACE-AI Diagnostic Study will evaluate the performance of artificial intelligence (AI) models applied to electrocardiograms (AI-ECG) and echocardiograms (AI-Echo) to identify transthyretin amyloid cardiomyopathy (ATTR-CM) in adults with heart failure. Model performance will be validated through comparison with technetium-99m pyrophosphate (PYP) imaging results.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients 18 years or older with at least one of each component cardiovascular diagnosis testing (ECG and Echo) in the YNHHS.
  • Patients with a diagnosis of HFpEF or HFmrEF
  • Participant from Phase I TRACE-AI Study with AI-ECG and AI-Echo screen in the preceding 36 months

排除标准

  • Patients who have opted out of research studies
  • Patients with cardiac amyloid diagnostic test in the past 36 months
  • Patients with hypertrophic cardiomyopathy or end-stage renal disease
  • Pregnant women
  • Patients unable or unwilling to provide informed consent
  • Non-English speakers and cognitively impaired individuals who are unable to comprehend the consent and the on-screen instructions on the application, which are in English.

结局指标

主要结局

Performance of the sequential screening approach

时间窗: From enrollment through completion of PYP scan at baseline study visit

Measured by the positive predictive value (PPV) of the test for ATTR-CM, based on confirmatory imaging and clinical testing

次要结局

未报告次要终点

研究者

发起方
Yale University
申办方类型
Other
责任方
Sponsor

研究点 (2)

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