ArticleJournal of the American Heart Association2023
Clinical Outcomes and Predictors of Long-Term Survival in Patients With and Without Previously Known Extracardiac Sarcoidosis Using Machine Learning: A Swedish Multicenter Study.
Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Diagnostic delay and phenotypic differences in cardiac sarcoidosis: a descriptive study of diagnostic and follow-up clinical data.Open heart · 2026Article
- Derivation and validation of a machine learning-driven score to predict the diagnostic yield of endomyocardial biopsy.NPJ digital medicine · 2026Article
- Contemporary management of sarcoidosis.Frontiers in medicine · 2026Review
- Detection of Myocardial Deformation Patterns and Prognostic Value of Routine Echocardiographic Parameters in Patients with Cardiac Sarcoidosis Versus Extracardiac Sarcoidosis: Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2025Review
- 30-Year Trends in the Incidence, Characteristics, and Outcome of Cardiac Sarcoidosis in a Nationwide Cohort.JACC. Advances · 2024Article
- Editorial: Myocarditis and inflammatory cardiomyopathies: diagnosis, treatment and future directions.Frontiers in cardiovascular medicine · 2023Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 investigate the relative importance of clinical features influencing overall survival. Methods and Results A retrospective cohort of 141 patients with CS enrolled at 2 Swedish university hospitals was studied. Presentation, imaging studies, and outcomes of de novo CS and previously known extracardiac sarcoidosis were compared. Survival free of primary composite outcome (ventricular arrhythmias, heart transplantation, or death) was assessed. Machine learning algorithm was used to study the relative importance of clinical features in predicting outcome. Sixty-two patients with de novo CS and 79 with previously known extracardiac sarcoidosis were included. De novo CS showed more advanced New York Heart Association class (
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