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 T1 (longitudinal magnetization relaxation time constant) and T2 (transverse magnetization relaxation time constant) in cohorts recovering from COVID‐19 infection...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| Subjects: | |
| Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.122.027801 |
| _version_ | 1797866364078129152 |
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| author | Michael Jerosch‐Herold Carsten Rickers Steffen E. Petersen Otávio R. Coelho‐Filho |
| author_facet | Michael Jerosch‐Herold Carsten Rickers Steffen E. Petersen Otávio R. Coelho‐Filho |
| author_sort | Michael Jerosch‐Herold |
| collection | DOAJ |
| description | Background Meta‐analysis can identify biological factors that moderate cardiac magnetic resonance myocardial tissue markers such as native T1 (longitudinal magnetization relaxation time constant) and T2 (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 T1, T2 mapping, extracellular volume, and late gadolinium enhancement were identified by database searches. Pooled effect sizes and interstudy heterogeneity (I2) were estimated with random effects models. Moderators of interstudy heterogeneity were analyzed by meta‐regression of the percent difference of native T1 and T2 between COVID‐19 and control groups (%ΔT1 [percent difference of the study‐level means of myocardial T1 in patients with COVID‐19 and controls] and %ΔT2 [percent difference of the study‐level means of myocardial T2 in patients with COVID‐19 and controls]), extracellular volume, and the proportion of late gadolinium enhancement. Interstudy heterogeneities of %ΔT1 (I2=76%) and %ΔT2 (I2=88%) were significantly lower than for native T1 and T2, respectively, independent of field strength, with pooled effect sizes of %ΔT1=1.24% (95% CI, 0.54%–1.9%) and %ΔT2=3.77% (95% CI, 1.79%–5.79%). %ΔT1 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 %ΔT1 and/or %ΔT2. 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 T1 and T2 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. |
| first_indexed | 2024-04-09T23:22:59Z |
| format | Article |
| id | doaj.art-694deb03bf904b4fa211f5acef9308c5 |
| institution | Directory Open Access Journal |
| issn | 2047-9980 |
| language | English |
| last_indexed | 2024-04-09T23:22:59Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| spelling | doaj.art-694deb03bf904b4fa211f5acef9308c52023-03-21T11:45:26ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802023-03-0112610.1161/JAHA.122.027801Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐AnalysisMichael Jerosch‐Herold0Carsten Rickers1Steffen E. Petersen2Otávio R. Coelho‐Filho3Department of Radiology, Cardiovascular Imaging Section Brigham and Women’s Hospital Boston MAChildren’s Heart Clinic, Adult Congenital Heart Disease Section University Hospital Hamburg‐Eppendorf (UKE) Hamburg GermanyWilliam Harvey Research Institute NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square London United KingdomDepartment of Internal Medicine State University of Campinas (UNICAMP) Campinas, São Paulo BrazilBackground Meta‐analysis can identify biological factors that moderate cardiac magnetic resonance myocardial tissue markers such as native T1 (longitudinal magnetization relaxation time constant) and T2 (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 T1, T2 mapping, extracellular volume, and late gadolinium enhancement were identified by database searches. Pooled effect sizes and interstudy heterogeneity (I2) were estimated with random effects models. Moderators of interstudy heterogeneity were analyzed by meta‐regression of the percent difference of native T1 and T2 between COVID‐19 and control groups (%ΔT1 [percent difference of the study‐level means of myocardial T1 in patients with COVID‐19 and controls] and %ΔT2 [percent difference of the study‐level means of myocardial T2 in patients with COVID‐19 and controls]), extracellular volume, and the proportion of late gadolinium enhancement. Interstudy heterogeneities of %ΔT1 (I2=76%) and %ΔT2 (I2=88%) were significantly lower than for native T1 and T2, respectively, independent of field strength, with pooled effect sizes of %ΔT1=1.24% (95% CI, 0.54%–1.9%) and %ΔT2=3.77% (95% CI, 1.79%–5.79%). %ΔT1 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 %ΔT1 and/or %ΔT2. 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 T1 and T2 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.https://www.ahajournals.org/doi/10.1161/JAHA.122.027801cardiac magnetic resonanceCOVID‐19extracellular volumelate gadolinium enhancementmeta‐analysisT1‐mapping |
| spellingShingle | Michael Jerosch‐Herold Carsten Rickers Steffen E. Petersen Otávio R. Coelho‐Filho Myocardial Tissue Characterization in Cardiac Magnetic Resonance Studies of Patients Recovering From COVID‐19: A Meta‐Analysis Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease cardiac magnetic resonance COVID‐19 extracellular volume late gadolinium enhancement meta‐analysis T1‐mapping |
| 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 | cardiac magnetic resonance COVID‐19 extracellular volume late gadolinium enhancement meta‐analysis T1‐mapping |
| url | https://www.ahajournals.org/doi/10.1161/JAHA.122.027801 |
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