A streamlined, machine learning-derived approach to risk-stratification in heart failure patients with secondary tricuspid regurgitation

AIMS: Secondary tricuspid regurgitation (sTR) is the most frequent valvular heart disease and has a significant impact on mortality. A high burden of comorbidities often worsens the already dismal prognosis of sTR, while tricuspid interventions remain underused and initiated too late. The aim was to...

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Detalles Bibliográficos
Autores principales: Heitzinger, Gregor, Spinka, Georg, Koschatko, Sophia, Baumgartner, Clemens, Dannenberg, Varius, Halavina, Kseniya, Mascherbauer, Katharina, Nitsche, Christian, Dona, Caroliná, Koschutnik, Matthias, Kammerlander, Andreas, Winter, Max-Paul, Strunk, Guido, Pavo, Noemi, Kastl, Stefan, Hülsmann, Martin, Rosenhek, Raphael, Hengstenberg, Christian, Bartko, Philipp E, Goliasch, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125224/
https://www.ncbi.nlm.nih.gov/pubmed/36757905
http://dx.doi.org/10.1093/ehjci/jead009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125224/
https://www.ncbi.nlm.nih.gov/pubmed/36757905
http://dx.doi.org/10.1093/ehjci/jead009

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