Impact of the Noninvasive Diagnostic Algorithm on Clinical Presentation and Prognosis in Cardiac Amyloidosis
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.
Authors
- Marco Merlo
- Simone Longhi (ORCID: https://orcid.org/0000-0002-7512-1179)
- Beatrice Musumeci (ORCID: https://orcid.org/0000-0003-4872-7981)
- Camillo Autore (ORCID: https://orcid.org/0000-0002-6542-7342)
- Matteo Sclafani
- Gianfranco Sinagra (ORCID: https://orcid.org/0000-0003-2700-8478)
- Ernesto Cristiano (ORCID: https://orcid.org/0000-0003-1185-4178)
- Carlotta Mazzoni (ORCID: https://orcid.org/0000-0003-1330-7223)
- Marianna Eleonora Labate
- Federico Perfetto (ORCID: https://orcid.org/0000-0003-0276-8331)
- Mattia Zampieri (ORCID: https://orcid.org/0000-0002-1140-134X)
- Alberto Ponziani
- Andrea Lalario (ORCID: https://orcid.org/0000-0001-8135-6874)
- Emanuele Barbato (ORCID: https://orcid.org/0000-0002-0050-5178)
- Giacomo Tini (ORCID: https://orcid.org/0000-0001-8520-152X)
- Aldostefano Porcari (ORCID: https://orcid.org/0000-0003-3307-0825)
- Marco Canepa (ORCID: https://orcid.org/0000-0001-9063-5576)
- Elena Biagini (ORCID: https://orcid.org/0000-0003-0295-0440)
- Francesco Cappelli (ORCID: https://orcid.org/0000-0002-1622-0732)
- Giulia Saturi (ORCID: https://orcid.org/0000-0002-8154-3538)
- Margherita Zanoletti
Institutions
- University of Trieste (IT)
- Azienda Ospedaliero-Universitaria Careggi (IT)
- Azienda USL di Bologna (IT)
- Humanitas Gavazzeni (IT)
- ERN GUARD-Heart (NL)
- Ospedale Policlinico San Martino (IT)
- Azienda Sanitaria Universitaria Integrata di Trieste (IT)
- University College London (GB)
- University of Genoa (IT)
- Sapienza University of Rome (IT)
- University of Bologna (IT)
Publication Details
- Journal
- JACC Advances
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1016/j.jacadv.2024.101232
- Citations
- 10
- Primary Topic
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.34
Funders
- Ministero della Salute