Machine-learning phenotyping of patients with functional mitral regurgitation undergoing transcatheter edge-to-edge repair: the MITRA-AI study

A ML analysis identified meaningful clinical phenotypic presentations in FMR undergoing TEER, with significant differences in terms of cardiovascular death and HF hospitalizations, confirmed in an external validation cohort.

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Publication Details

Journal
European Heart Journal - Digital Health
Published
2025-02-13
DOI
https://doi.org/10.1093/ehjdh/ztaf006
Citations
8
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
11.11
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article

Machine-learning phenotyping of patients with functional mitral regurgitation undergoing transcatheter edge-to-edge repair: the MITRA-AI study

Gianluca Alunni, Paolo Boretto, Christian Templin, Victoria Lucia Camman et al.
8 citations
European Heart Journal - Digital Health
Cardiac Valve Diseases and Treatments
11.11
article

Machine-learning phenotyping of patients with functional mitral regurgitation undergoing transcatheter edge-to-edge repair: the MITRA-AI study

Gianluca Alunni, Paolo Boretto, Christian Templin, Victoria Lucia Camman, Jacopo Oreglia, Rodrigo Estévez-Loureiro, Simone Frea, Corrado Pancotti, Marco Pocar, Saverio Muscoli, Fabrizio D’Ascenzo, Giuseppe Patti, Veronica Dusi, Mario Iannaccone, Gabriele Crimi, Ovidio De Filippo, Elena Cavallone, Claudia Raineri, Ran Kornowski, Cristina Giannini, Gaetano Maria De Ferrari, Pier Paolo Bocchino, Luca Baldetti, Stefano Pidello, Piero Fariselli, Davide Stolfo, Antonio Montefusco, Federico Conrotto, Marianna Adamo, Giuseppe Biondi‐Zoccai, Leor Perl, Sonia Petronio, Italo Porto, Filippo Finizio, Matteo Pagnesi, Nuccia Morici, Filippo Angelini, Mauro Chiarito, Arturo Giordano, Sergio Raposeiras Roubin, Michele La Torre
article en
8 citations

Abstract

A ML analysis identified meaningful clinical phenotypic presentations in FMR undergoing TEER, with significant differences in terms of cardiovascular death and HF hospitalizations, confirmed in an external validation cohort.

European Heart Journal - Digital HealthVol. 6(3)
University of Rome Tor Vergata (IT), Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), Humanitas University (IT), Vita-Salute San Raffaele University (IT), Tel Aviv University (IL), Rabin Medical Center (IL), University Hospital Complex Of Vigo (ES), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT), Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (IT), University Hospital of Zurich (CH), Maria Cecilia Hospital (IT), Surgical Specialties (Canada) (CA), Don Carlo Gnocchi Foundation (IT), Azienda Ospedaliero Universitaria Maggiore della Carita (IT), Ospedale San Giovanni Bosco (IT), Clinica Mediterranea (IT), Presidio Ospedaliero (IT), Department of Medical Sciences (BY), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Azienda Sanitaria Universitaria Integrata di Trieste (IT), Azienda Ospedaliera Universitaria Pisana (IT), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT), University of Turin (IT), University of Brescia (IT), University of Genoa (IT), Sapienza University of Rome (IT)
Good health and well-being
Openalex Percentile: Top 1%
Cardiac Valve Diseases and Treatments
11.11
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