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临床试验/NCT06469372
NCT06469372已完成不适用

Cardiac Amyloidosis Discovery Trial

Pierre Elias2 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2024年5月28日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
50
试验地点
2
主要终点
Rate of Cardiac Amyloidosis Diagnosis

研究概览

简要总结

This is a single center, diagnostic clinical trial in which the investigators aim to prospectively validate a deep learning model that identifies patients with features suggestive of cardiac amyloidosis, including transthyretin cardiac amyloidosis (ATTR-CA).

Cardiac Amyloidosis is an age-related infiltrative cardiomyopathy that causes heart failure and death that is frequently unrecognized and underdiagnosed. The investigators have developed a deep learning model that identifies patients with features of ATTR-CA and other types of cardiac amyloidosis using echocardiographic, ECG, and clinical factors. By applying this model to the population served by NewYork-Presbyterian Hospital, the investigators will identify a list of patients at highest predicted risk for having undiagnosed cardiac amyloidosis. The investigators will then invite these patients for further testing to diagnose cardiac amyloidosis. The rate of cardiac amyloidosis diagnosis of patients in this study will be compared to rate of cardiac amyloidosis diagnosis in historic controls from the following two groups: (1) patients referred for clinical cardiac amyloidosis testing at NewYork-Prebysterian Hospital and (2) patients enrolled in the Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations (SCAN-MP) study.

详细描述

Heart failure is a leading cause of death in the United States and throughout the world. One cause of heart failure is transthyretin cardiac amyloidosis (ATTR-CA), in which misfolded proteins deposit into the heart. This condition is often diagnosed very late when patients have severe symptoms. In this study, the investigators are trying to use a computer algorithm to find patients with cardiac amyloidosis that has not been diagnosed or suspected by their doctors. The investigators will look at patients seen at Columbia University Irving Medical Center and use our algorithm to identify 100 patients with a high probability of having cardiac amyloidosis and bring them in to be tested.

  • ATTR-CA diagnosis: A diagnosis of ATTR-CA will be made according to consensus guidelines by an amyloidosis expert. These criteria include either (1) imaging criteria with requires that a patient's cardiac amyloid scintigraphy single-photon emission computed tomography (SPECT) scan shows myocardial uptake, increase left ventricular (LV) wall thickness by cardiac imaging that is unexplained by loading conditions, and follow-up monoclonal protein testing shows no evidence of clinical amyloid light-chain (AL) amyloidosis or (2) pathologic criteria with a biopsy showing systemic transthyretin deposition.
  • Cardiac amyloidosis (AL-CA) diagnosis: A clinical diagnosis of AL-CA will be by an amyloidosis expert according to society guidelines. These includes a diagnosis made in one of the following settings: (1) cardiac biopsy showing AL deposition and (2) extra-cardiac biopsy showing AL deposition with typical cardiac features on imaging such as echocardiography or cardiac magnetic resonance imaging.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

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

入选标准

  • High predicted probability of having cardiac amyloidosis as determined by deep learning model.
  • Age ≥ 50 years.
  • Electronically stored ECG and echocardiogram within 5 years of study start date.
  • Ability for the patient or health care proxy to understand and sign the informed consent after the study has been explained.

排除标准

  • Primary amyloidosis (AL) or secondary amyloidosis (AA).
  • Prior liver or heart transplantation.
  • Active malignancy or non-amyloid disease with expected survival of less than 1 year.
  • Previous testing for cardiac amyloidosis such as amyloid nuclear scintigraphy, cardiac, or fat pad biopsy.
  • Impairment from stroke, injury or other medical disorder that precludes participation in the study.
  • Disabling dementia or other mental or behavioral disease
  • Nursing home resident.

结局指标

主要结局

Rate of Cardiac Amyloidosis Diagnosis

时间窗: Up to 1 year after identification (1 day of participant assessment)

The primary outcome is the rate of cardiac amyloidosis diagnosis (inclusive of transthyretin and light chain cardiac amyloidosis) which is performed in response to patient identification using the deep learning model, reported as the number of participants who had a positive diagnosis for ATTR-CM (transthyretin amyloid cardiomyopathy).

次要结局

未报告次要终点

研究者

发起方
Pierre Elias
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Pierre Elias

Assistant Professor of Medicine

Columbia University

研究点 (2)

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