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ABSTRACT: Background
Cardiovascular magnetic resonance (CMR) is the test of choice for diagnosis and risk stratification of myocardial inflammation in acute viral myocarditis. The objective of this study was to assess patterns of CMR inflammation in a cohort of acute myocarditis patients from Northern Africa, Asia, and the Middle East using unsupervised machine learning.Methods
A total of 169 racially and ethnically diverse adults ( ≥ 18 years of age) with CMR confirmed acute myocarditis were studied. The primary outcome was a combined clinical endpoint of cardiac death, arrhythmia, and dilated cardiomyopathy. Machine learning was used for exploratory analysis to identify patterns of CMR inflammation.Results
Our cohort was diverse with 25% from Northern Africa, 33% from South
SUBMITTER: Ghareeb AN
PROVIDER: S-EPMC9011019 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature