Data Sheet 1_Risk-score performance for detecting transthyretin cardiac amyloidosis in sev

Data Sheet 1 from a prospective cohort study of 104 consecutive patients with severe aortic stenosis. The dataset likely contains clinical, laboratory, and imaging data used to evaluate the diagnostic accuracy of the RAISE and T-AMYLO risk scores for detecting coexisting transthyretin cardiac amyloidosis. The study was authored by Graczyk Katarzyna and uploaded to figshare in May 2026.

Use Cases

• Validating the diagnostic accuracy of the eRAISE model based on the reported AUC of 0.948.
• Comparing clinical profiles of patients with dual pathology based on features like age, ejection fraction, and biomarker levels mentioned in the description.
• Assessing the prevalence of low-gradient/low-flow aortic stenosis phenotypes in patients with cardiac amyloidosis.
• Benchmarking other risk scores against the performance metrics reported for the RAISE and T-AMYLO scores.

Strengths

• Includes data from a prospective cohort of 104 patients with severe aortic stenosis, providing a defined study population.
• Reports specific performance metrics for diagnostic models, such as an AUC of 0.948 for the eRAISE model.
• Contains a range of clinical assessments mentioned, including echocardiography and bone scintigraphy.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• The dataset is stored in a DOCX file format (1.3 MB), which may require parsing to extract structured data.

Provenance

Source

Graczyk Katarzyna via figshare.

Collection Method

Prospective study of consecutive patients with severe aortic stenosis, including clinical, laboratory, and imaging evaluations.

Freshness

Last updated 2026-05-22 06:09:38; freshness should be verified.