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Journal of Cardiovascular Translational Research

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Open Access 01-10-2020 | Magnetic Resonance Imaging | Original Article

Myoglobin for Detection of High-Risk Patients with Acute Myocarditis

Authors: Jan Kottwitz, Katelyn A. Bruno, Jan Berg, Gary R. Salomon, DeLisa Fairweather, Mawahib Elhassan, Nora Baltensperger, Christine K. Kissel, Marina Lovrinovic, Andrea Baltensweiler, Christian Schmied, Christian Templin, Joao A.C. Lima, Ulf Landmesser, Thomas F. Lüscher, Robert Manka, Bettina Heidecker

Published in: Journal of Cardiovascular Translational Research | Issue 5/2020

Abstract

There is an unmet need for accurate and practical screening to detect myocarditis. We sought to test the hypothesis that the extent of acute myocarditis, measured by late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMR), can be estimated based on routine blood markers. A total of 44 patients were diagnosed with acute myocarditis and included in this study. There was strong correlation between myoglobin and LGE (r_s = 0.73 [95% CI 0.51; 0.87], p < 0.001), while correlation was weak between LGE and TnT-hs (r_s = 0.37 [95% CI 0.09; 0.61], p = 0.01). Receiver operating curve (ROC) analysis determined myoglobin ≥ 87 μg/L as cutoff to identify myocarditis (92% sensitivity, 80% specificity). The data were reproduced in an established model of coxsackievirus B3 myocarditis in mice (n = 26). These data suggest that myoglobin is an accurate marker of acute myocarditis.

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Title: Myoglobin for Detection of High-Risk Patients with Acute Myocarditis
Authors: Jan Kottwitz
Katelyn A. Bruno
Jan Berg
Gary R. Salomon
DeLisa Fairweather
Mawahib Elhassan
Nora Baltensperger
Christine K. Kissel
Marina Lovrinovic
Andrea Baltensweiler
Christian Schmied
Christian Templin
Joao A.C. Lima
Ulf Landmesser
Thomas F. Lüscher
Robert Manka
Bettina Heidecker
Publication date: 01-10-2020
Publisher: Springer US
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Myocarditis
Biomarkers
Published in: Journal of Cardiovascular Translational Research / Issue 5/2020
Print ISSN: 1937-5387
Electronic ISSN: 1937-5395
DOI: https://doi.org/10.1007/s12265-020-09957-8

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