Lucrecia Maria Burgos, Ana Spaccavento, Franco Nicolás Ballari, Ivana Maria Seia, María Del Rosario Rodríguez, Rocío Consuelo Baro Vila, Pablo Elissamburu, Alejandro Horacio Meretta, Mirta Diez, Juan Pablo Costabel
{"title":"T-Amylo评分对急性心力衰竭患者转甲状腺素型心脏淀粉样变性的诊断价值。","authors":"Lucrecia Maria Burgos, Ana Spaccavento, Franco Nicolás Ballari, Ivana Maria Seia, María Del Rosario Rodríguez, Rocío Consuelo Baro Vila, Pablo Elissamburu, Alejandro Horacio Meretta, Mirta Diez, Juan Pablo Costabel","doi":"10.36628/ijhf.2025.0018","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":101410,"journal":{"name":"International journal of heart failure","volume":"7 3","pages":"176-183"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12318854/pdf/","citationCount":"0","resultStr":"{\"title\":\"T-Amylo Score for the Diagnosis of Transthyretin Cardiac Amyloidosis in Patients With Acute Heart Failure.\",\"authors\":\"Lucrecia Maria Burgos, Ana Spaccavento, Franco Nicolás Ballari, Ivana Maria Seia, María Del Rosario Rodríguez, Rocío Consuelo Baro Vila, Pablo Elissamburu, Alejandro Horacio Meretta, Mirta Diez, Juan Pablo Costabel\",\"doi\":\"10.36628/ijhf.2025.0018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":101410,\"journal\":{\"name\":\"International journal of heart failure\",\"volume\":\"7 3\",\"pages\":\"176-183\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12318854/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of heart failure\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36628/ijhf.2025.0018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of heart failure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36628/ijhf.2025.0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
T-Amylo Score for the Diagnosis of Transthyretin Cardiac Amyloidosis in Patients With Acute Heart Failure.
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.