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Impact of the Noninvasive Diagnostic Algorithm on Clinical Presentation and Prognosis in Cardiac Amyloidosis.
- Source :
-
JACC. Advances [JACC Adv] 2024 Sep 05; Vol. 3 (10), pp. 101232. Date of Electronic Publication: 2024 Sep 05 (Print Publication: 2024). - Publication Year :
- 2024
-
Abstract
- Background: The introduction of a noninvasive diagnostic algorithm in 2016 led to increased awareness and recognition of cardiac amyloidosis (CA).<br />Objectives: The purpose of this study was to analyze the impact of the introduction of the noninvasive diagnostic algorithm on diagnosis and prognosis in a multicenter Italian CA cohort.<br />Methods: This was a retrospective analysis of 887 CA patients from 5 Italian Cardiomyopathies Referral Centers: 311 light-chain CA, 87 variant transthyretin (TTR)-related CA, 489 wild-type TTR-related CA. Clinical characteristics and outcomes (all-cause mortality and heart failure [HF] hospitalizations) were compared overall and for each CA subtype between patients diagnosed before versus after 2016. Outcomes were further compared by propensity score weighted Kaplan-Meier analysis and Cox regression analysis.<br />Results: CA diagnoses increased after 2016, in particular for wild-type TTR-related CA. Patients diagnosed after versus before 2016 were older, had less frequently a history of HF prior to diagnosis, and NYHA functional class III-IV at diagnosis. Over a median follow-up of 18 months, 172 (86%) patients diagnosed before 2016 died or had an HF hospitalization, versus 300 (44%) diagnosed after 2016. Propensity score weighted Kaplan-Meier analysis showed worse outcomes ( P  < 0.001) for patients diagnosed before 2016. At Cox regression analysis, CA diagnosis after 2016 was an independent protective factor for the composite outcome (HR: 0.69; P  = 0.001), with interaction by CA subtype (significant in TTR-related CA and null in light-chain).<br />Conclusions: CA patients diagnosed after 2016 showed a less severe phenotype and a better prognosis. The impact of the noninvasive diagnostic algorithm on outcomes was particularly relevant in TTR-related CA.<br />Competing Interests: The work reported in this publication was funded by the 10.13039/501100003196Italian Ministry of Health, RC-2022-2773270 project. The authors have reported that they have no relationships relevant to the contents of this paper to disclose.<br /> (© 2024 The Authors.)
Details
- Language :
- English
- ISSN :
- 2772-963X
- Volume :
- 3
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- JACC. Advances
- Publication Type :
- Academic Journal
- Accession number :
- 39290816
- Full Text :
- https://doi.org/10.1016/j.jacadv.2024.101232