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This multicenter pilot study will enroll adult participants with a confirmed clinical diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) and heart failure (HF) controls with documentation within the past 2 years that either excludes ATTR-CM or indicates a low probability of ATTR-CM. Ocular imaging and other study data will be collected to assess the feasibility of developing and preliminarily evaluating a machine learning model to discriminate ATTR-CM cases from HF controls without ATTR-CM.
A participant who does not complete the study within 90 days from enrollment will be discontinued from the study. A participant may be discontinued from the study at any time at the discretion of the investigator for behavioral or compliance reasons. A participant may withdraw from the study at any time at the participant's own request for any reason (or without providing any reason) without any implication on participant's rights.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| ATTR-CM | Participants with a confirmed clinical diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM). | ||
| HF Control | Participants with guideline-directed medical therapy-directed heart failure and documentation within the past 2 years that either excludes transthyretin amyloid cardiomyopathy (ATTR-CM) or indicates a low probability of ATTR-CM. |
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| Measure | Description | Time Frame |
|---|---|---|
| Comparison of per-participant confidence scores distributions between ATTR-CM cases and HF controls without ATTR-CM | Per-participant confidence score distributions generated by the machine learning (ML) model will be compared between participants with clinically confirmed transthyretin amyloid cardiomyopathy (ATTR-CM) and heart failure controls without ATTR-CM. | At a single assessment time point within 90 days following informed consent form signing |
| Qualitative assessment of features learned indicative of ATTR pathology | Features learned by the machine learning (ML) model that are indicative of transthyretin amyloid pathology will be qualitatively assessed. | At a single assessment time point within 90 days following informed consent form signing |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity, specificity, and Area Under the Receiver Operating Characteristic Curve (AUROC) of the ML model to correctly identify ATTR-CM cases based on ocular imaging data | Sensitivity, specificity, and area under the receiver operating characteristic curve will be used to describe the performance of the machine learning model for distinguishing participants with clinically confirmed transthyretin amyloid cardiomyopathy (ATTR-CM) from heart failure controls without ATTR-CM based on ocular imaging data. |
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Inclusion Criteria:
Exclusion Criteria:
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The study population will comprise adult participants with a confirmed clinical diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) and heart failure (HF) controls who have documentation within the past 2 years that either excludes ATTR-CM or indicates a low probability of ATTR-CM.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| AstraZeneca Clinical Study Information Center | Contact | 1-877-240-9479 | information.center@astrazeneca.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Research Site | Palo Alto | California | 94305 | United States | ||
| Research Site |
Qualified researchers can request access to anonymized individual patient-level data from AstraZeneca group of companies sponsored clinical trials via the request portal Vivli.org. All requests will be evaluated as per the AZ disclosure commitment: https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.
Yes, indicates that AZ are accepting requests for IPD, but this does not mean all requests will be shared.
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AstraZeneca will meet or exceed data availability as per the commitments made to the EFPIA PhRMA Data Sharing Principles. For details of our timelines, please rerefer to our disclosure commitment at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.
When a request has been approved AstraZeneca will provide access to the anonymized individual patient-level data via secure research environment Vivli.org. Signed Data Usage Agreement (non-negotiable contract for data accessors) must be in place before accessing requested information.
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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| At a single assessment time point within 90 days following informed consent form signing |
| Descriptive comparison of score distributions across study population strata and demographics | Score distributions generated by the machine learning model will be descriptively compared across study population strata and demographic groups. | At a single assessment time point within 90 days following informed consent form signing |
| Chicago |
| Illinois |
| 60611 |
| United States |
| Research Site | Boston | Massachusetts | 02114 | United States |
| Research Site | Portland | Oregon | 97239-3098 | United States |
| Research Site | Germantown | Tennessee | 38138 | United States |
| Research Site | Essen | 45147 | Germany |
| Research Site | Würzburg | 97078 | Germany |
| Research Site | Guimarães | 4835-044 | Portugal |
| Research Site | L'Hospitalet de Llobregat | 08907 | Spain |
| Research Site | Palma de Mallorca | 07198 | Spain |