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.
Study Type
OBSERVATIONAL
Enrollment
500
Research Site
Palo Alto, California, United States
NOT_YET_RECRUITINGComparison 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.
Time frame: 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.
Time frame: At a single assessment time point within 90 days following informed consent form signing
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.
Time frame: 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.
Time frame: At a single assessment time point within 90 days following informed consent form signing
AstraZeneca Clinical Study Information Center
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