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临床试验/NCT04569903
NCT04569903撤回早期 1 期

Evaluation of a Claims-based Algorithm for the Identification of ATTR Amyloidosis in Medical Records

Yale University2 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2022年8月1日最近更新:
适应症

试验速览

阶段
早期 1 期
状态
撤回
入组人数
100
试验地点
2
主要终点
Diagnostic performance of algorithm in identifying patients with ATTR amyloidosis

研究概览

简要总结

The primary objective of this study is to evaluate the diagnostic performance of an algorithm in identifying patients with ATTR amyloidosis.

详细描述

A screening strategy to identify ATTR in the large background population of patients with one or more common ATTR manifestations, would be of significant clinical value.

In addition, novel ATTR therapies have been recently made available or are currently in development in late-stage clinical trials. As early diagnosis and treatment is expected to achieve better outcomes, this makes the development and validation of an easily implemented, rapid and electronically-enabled diagnostic algorithm especially important.

A medical and pharmacy claims-based algorithm was developed to potentially identify patients at risk of having ATTR. The goal of this study is to evaluate the ability of the algorithm to identify patients with ATTR by performing diagnostic clinical work up in patients that the algorithm identifies in a large dataset of patients at Yale.

The primary objective of this study is to evaluate the diagnostic performance of the algorithm in identifying patients with ATTR amyloidosis.

The secondary objective of this study is to estimate the clinical benefit of the algorithm, as measured by the added diagnostic value, i.e. the proportion or rate of patients who were previously undiagnosed. The total obtained prevalence will be assessed and informally compared to the referral-based prevalence of ATTR amyloidosis patients at Yale.

研究设计

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

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

  • Identified by the ATTR diagnostic algorithm and matched by Yale's list of potential subjects defined as:
  • subjects within the claims dataset that are predicted to be at risk of having ATTR who are also being managed within YNHHS
  • patients who need to be contacted and offered additional clinical evaluation to determine whether they have a diagnosis of ATTR (non-hereditary or Hereditary ATTR amyloidosis).

排除标准

  • Patients who have opted out of research in the Epic system will be excluded entirely from the study
  • Patients who are pregnant or who may become pregnant

结局指标

主要结局

Diagnostic performance of algorithm in identifying patients with ATTR amyloidosis

时间窗: 2 years

Potential thresholds for defining diagnostic positivity based on the calculated algorithmic scores will be explored and the corresponding positive predictive value (PPV) will serve as indicator for the diagnostic performance. Negative predictive values (NPV) may be explored if the actual distribution of score data will allow for it.

次要结局

  • Proportion of diagnosed patients(2 years)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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