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Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis

BACKGROUND: Meta‐analysis can identify biological factors that moderate cardiac magnetic resonance myocardial tissue markers such as native T(1) (longitudinal magnetization relaxation time constant) and T(2) (transverse magnetization relaxation time constant) in cohorts recovering from COVID‐19 infe...

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Autores principales: Jerosch‐Herold, Michael, Rickers, Carsten, Petersen, Steffen E., Coelho‐Filho, Otávio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111516/
https://www.ncbi.nlm.nih.gov/pubmed/36892052
http://dx.doi.org/10.1161/JAHA.122.027801
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author Jerosch‐Herold, Michael
Rickers, Carsten
Petersen, Steffen E.
Coelho‐Filho, Otávio R.
author_facet Jerosch‐Herold, Michael
Rickers, Carsten
Petersen, Steffen E.
Coelho‐Filho, Otávio R.
author_sort Jerosch‐Herold, Michael
collection PubMed
description BACKGROUND: Meta‐analysis can identify biological factors that moderate cardiac magnetic resonance myocardial tissue markers such as native T(1) (longitudinal magnetization relaxation time constant) and T(2) (transverse magnetization relaxation time constant) in cohorts recovering from COVID‐19 infection. METHODS AND RESULTS: Cardiac magnetic resonance studies of patients with COVID‐19 using myocardial T(1), T(2) mapping, extracellular volume, and late gadolinium enhancement were identified by database searches. Pooled effect sizes and interstudy heterogeneity (I(2)) were estimated with random effects models. Moderators of interstudy heterogeneity were analyzed by meta‐regression of the percent difference of native T(1) and T(2) between COVID‐19 and control groups (%ΔT(1) [percent difference of the study‐level means of myocardial T(1) in patients with COVID‐19 and controls] and %ΔT(2) [percent difference of the study‐level means of myocardial T(2) in patients with COVID‐19 and controls]), extracellular volume, and the proportion of late gadolinium enhancement. Interstudy heterogeneities of %ΔT(1) (I(2)=76%) and %ΔT(2) (I(2)=88%) were significantly lower than for native T(1) and T(2), respectively, independent of field strength, with pooled effect sizes of %ΔT(1)=1.24% (95% CI, 0.54%–1.9%) and %ΔT(2)=3.77% (95% CI, 1.79%–5.79%). %ΔT(1) was lower for studies in children (median age: 12.7 years) and athletes (median age: 21 years), compared with older adults (median age: 48 years). Duration of recovery from COVID‐19, cardiac troponins, C‐reactive protein, and age were significant moderators for %ΔT(1) and/or %ΔT(2). Extracellular volume, adjusted by age, was moderated by recovery duration. Age, diabetes, and hypertension were significant moderators of the proportion of late gadolinium enhancement in adults. CONCLUSIONS: T(1) and T(2) are dynamic markers of cardiac involvement in COVID‐19 that reflect the regression of cardiomyocyte injury and myocardial inflammation during recovery. Late gadolinium enhancement and to a lesser extent extracellular volume, are more static biomarkers moderated by preexisting risk factors linked to adverse myocardial tissue remodeling.
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spelling pubmed-101115162023-04-19 Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis Jerosch‐Herold, Michael Rickers, Carsten Petersen, Steffen E. Coelho‐Filho, Otávio R. J Am Heart Assoc Original Research BACKGROUND: Meta‐analysis can identify biological factors that moderate cardiac magnetic resonance myocardial tissue markers such as native T(1) (longitudinal magnetization relaxation time constant) and T(2) (transverse magnetization relaxation time constant) in cohorts recovering from COVID‐19 infection. METHODS AND RESULTS: Cardiac magnetic resonance studies of patients with COVID‐19 using myocardial T(1), T(2) mapping, extracellular volume, and late gadolinium enhancement were identified by database searches. Pooled effect sizes and interstudy heterogeneity (I(2)) were estimated with random effects models. Moderators of interstudy heterogeneity were analyzed by meta‐regression of the percent difference of native T(1) and T(2) between COVID‐19 and control groups (%ΔT(1) [percent difference of the study‐level means of myocardial T(1) in patients with COVID‐19 and controls] and %ΔT(2) [percent difference of the study‐level means of myocardial T(2) in patients with COVID‐19 and controls]), extracellular volume, and the proportion of late gadolinium enhancement. Interstudy heterogeneities of %ΔT(1) (I(2)=76%) and %ΔT(2) (I(2)=88%) were significantly lower than for native T(1) and T(2), respectively, independent of field strength, with pooled effect sizes of %ΔT(1)=1.24% (95% CI, 0.54%–1.9%) and %ΔT(2)=3.77% (95% CI, 1.79%–5.79%). %ΔT(1) was lower for studies in children (median age: 12.7 years) and athletes (median age: 21 years), compared with older adults (median age: 48 years). Duration of recovery from COVID‐19, cardiac troponins, C‐reactive protein, and age were significant moderators for %ΔT(1) and/or %ΔT(2). Extracellular volume, adjusted by age, was moderated by recovery duration. Age, diabetes, and hypertension were significant moderators of the proportion of late gadolinium enhancement in adults. CONCLUSIONS: T(1) and T(2) are dynamic markers of cardiac involvement in COVID‐19 that reflect the regression of cardiomyocyte injury and myocardial inflammation during recovery. Late gadolinium enhancement and to a lesser extent extracellular volume, are more static biomarkers moderated by preexisting risk factors linked to adverse myocardial tissue remodeling. John Wiley and Sons Inc. 2023-03-09 /pmc/articles/PMC10111516/ /pubmed/36892052 http://dx.doi.org/10.1161/JAHA.122.027801 Text en © 2023 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Jerosch‐Herold, Michael
Rickers, Carsten
Petersen, Steffen E.
Coelho‐Filho, Otávio R.
Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis
title Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis
title_full Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis
title_fullStr Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis
title_full_unstemmed Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis
title_short Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis
title_sort myocardial tissue characterization in cardiac magnetic resonance studies of patients recovering from covid‐19: a meta‐analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111516/
https://www.ncbi.nlm.nih.gov/pubmed/36892052
http://dx.doi.org/10.1161/JAHA.122.027801
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