ArticleInternational journal of heart failure2025
T-Amylo Score for the Diagnosis of Transthyretin Cardiac Amyloidosis in Patients With Acute Heart Failure.
Article in International journal of heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Diagnostic Predictive Scores of Amyloid Cardiomyopathy in Patients with Heart Failure with Preserved Ejection Fraction and Left Ventricular Hypertrophy.Journal of cardiovascular development and disease · 2025Article
- Bridging the Diagnostic Gap: Toward Non-Invasive Detection of Transthyretin Cardiac Amyloidosis in Acute Heart Failure.International journal of heart failure · 2025Article
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Authors and funding
10 authors.
Funding
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Abstract
Background and Objectives: Cardiac amyloidosis due to transthyretin (ATTR-CA) is often an unrecognized cause of heart failure. Recently validated, the T-Amylo model estimates the risk of ATTR-CA. Its utility in hospitalized patients with acute heart failure (AHF), however, remains unevaluated. Methods: A unicentric prospective study was conducted, included consecutive patients over 60 years admitted with a primary diagnosis of AHF between 2022-2024. Final diagnosis of ATTR-CA was established based on clinical and complementary results. The T-Amylo model was calculated blindly. Results: A total of 138 patients were included, 63% of whom were men, with a mean age of 80 (standard deviation, 6.9). The diagnosis of ATTR-CA was established in 15.9% of patients. The T-Amylo predictive model showed an area under the curve of 0.93 (95% confidence interval, 0.87-0.98). 26.8% of patients were classified as low risk, with a 0% diagnosis of ATTR-CA, showing a sensitivity of 100% and specificity of 32%; 10.2% were identified as high risk, with ATTR-CA diagnosed in 78.6%, showing a sensitivity of 50% and specificity of 97.4%. Conclusions: In AHF patients, the T-Amylo score adequately identified low- and high-risk patients for ATTR-CA. Based on readily available parameters, this model is a useful tool for detecting ATTR-CA.
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