Clinical Outcomes and Predictors of Long‐Term Survival in Patients With and Without Previously Known Extracardiac Sarcoidosis Using Machine Learning: A Swedish Multicenter Study

Clinical Outcomes and Predictors of Long‐Term Survival in Patients With and Without Previously Known Extracardiac Sarcoidosis Using Machine Learning: A Swedish Multicenter Study

Background Cardiac involvement can be an initial manifestation in sarcoidosis. However, little is known about the association between various clinical phenotypes of cardiac sarcoidosis (CS) and outcomes. We aimed to analyze the relation of different clinical manifestations with outcomes of CS and to...

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Bibliographic Details
Main Authors: Emanuele Bobbio, Per Eldhagen, Christian L. Polte, Clara Hjalmarsson, Kristjan Karason, Araz Rawshani, Pernilla Darlington, Susanna Kullberg, Peder Sörensson, Niklas Bergh, Entela Bollano
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
cardiac sarcoidosis
endomyocardial biopsy
heart failure
inflammatory heart disease
machine learning
right ventricular function
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.123.029481

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.123.029481

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