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Cardiac Involvement in Patients Recovering from Delta Variant of COVID-19: A Prospective Multi-Parametric MRI Study
Open accessAbstract
Aims: The cardiac injury and sequelae of Delta Variant of coronavirus disease 2019 (COVID-19) remain unknown. This study aimed to evaluate the presence of cardiac involvement in patients recovering from Delta Variant of COVID-19 based on multi-parametric cardiac magnetic resonance imaging (MRI). Methods and results: We prospectively assessed patients recovering from Delta Variant of COVID-19 using multi-parametric cardiac magnetic resonance imaging (MRI) between June 2021 and July 2021. Comparison was made with 25 healthy controls. Forty-four patients (median age 51 years, 28 women) recovering from Delta Variant were recruited and had a median time of 35 days between diagnosis and cardiac MRI. There were no patients with chest pain (0/44, 0%) and high sensitivity cardiac troponin T troponin elevation (median levels 2.20 pg/mL, IQR levels 0.85–4.40 pg/mL). Regarding the cardiac imaging findings, a total of 14 (32%) patients presented cardiac tissue feature abnormalities, and a total of 9 (20%) patients had a myocarditis-like injury based on cardiac MRI 2018 Lake Louise criteria. When we further assessed the T1 and T2 mapping values for of patients' individual, abnormal raised global native T1, T2, and extracellular volume were seen in 6 (14%), 6 (14%), and 4 (9%) patients, respectively. Comparing with controls, the patients had lower LV global longitudinal strain and (−22.2 ± 2.8% vs. −24.6 ± 2.0%, P < 0.001) and global circumferential strain (−20.7 ± 6.8% vs. −24.3 ± 2.9%, P = 0.014), but higher global native T1 (1318.8 ± 55.5 ms vs. 1282.9 ± 38.1 ms, P = 0.006). Four (9%) patients presented myocardial late gadolinium enhancement with subepicardial pattern mostly common seen, and two (5%) patients presented pericardial enhancement. Conclusions: The cardiac MRI could detect subclinical functional and myocardial tissue characteristic abnormalities in individuals who were recovering from Delta Variant without cardiac-related clinical findings. The native T1 mapping and strain imaging may be a sensitive tool for the noninvasive detection of a subset of patients who are at risk for cardiac sequelae and more prone to myocardial damage in survivors with Delta Variant.
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The study had 64% women with a median age of 51 (range, 39-62) years.
“The study had 64% women with a median age of 51 (range, 39-62) years.”
From COVID-19, Myocarditis and Pericarditis (2023) · cites this paper as [102]
The Results, Population characteristics passage reports 28 women among 44 patients (64%) and a median age of 51 years. It identifies 39–62 years as the interquartile range, not the full age range claimed. (LLM, conf=0.90)
Experimental — accuracy not yet measuredZhang et al examined cardiovascular complications from 44 patients recovering from the Delta variant versus 25 controls and found that 32% had abnormal findings on cMRI and 20% with evidence of myocarditis.
“Zhang et al 102 examined cardiovascular complications from 44 patients recovering from the Delta variant versus 25 controls and found that 32% had abnormal findings on cMRI and 20% with evidence of myocarditis.”
From COVID-19, Myocarditis and Pericarditis (2023) · cites this paper as [102]
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- Del Rio, 2021, Confronting the Delta Variant of SARS-CoV-2, summer 2021, JAMA, 10.1001/jama.2021.14811 · DOI
- Dyer, 2021, Covid-19: Indonesia becomes Asia's new pandemic epicentre as delta variant spreads, BMJ, 374
- CDC, COVID-19: SARS-CoV-2 variant classifications and definitions. Atlanta, GA: US Department of Health and Human Services
- Lindner, 2020, Association of Cardiac Infection with SARS-CoV-2 in confirmed COVID-19 autopsy cases, JAMA Cardiol, 5, 1281, 10.1001/jamacardio.2020.3551 · DOI · Paper page
- Xu, 2020, Pathological findings of COVID-19 associated with acute respiratory distress syndrome, Lancet Respir Med, 8, 420, 10.1016/S2213-2600(20)30076-X · DOI · Paper page
- Puntmann, 2020, Outcomes of cardiovascular magnetic resonance imaging in patients recently recovered from coronavirus disease 2019 (COVID-19), JAMA Cardiol, 5, 1265, 10.1001/jamacardio.2020.3557 · DOI
- Luetkens, 2020, Diffuse myocardial inflammation in COVID-19 associated myocarditis detected by multiparametric cardiac magnetic resonance imaging, Circ Cardiovasc Imaging, 13, 10.1161/CIRCIMAGING.120.010897 · DOI
- Chen, 2021, Early cardiac involvement in patients with acute COVID-19 infection identified by multiparametric cardiovascular magnetic resonance imaging, Eur Heart J Cardiovasc Imaging, 22, 844, 10.1093/ehjci/jeab042 · DOI
- Galea, 2021, T2-mapping increase is the prevalent imaging biomarker of myocardial involvement in active COVID-19: A cardiovascular magnetic resonance study, J Cardiovasc Magn Reson, 23, 68, 10.1186/s12968-021-00764-x · DOI
- Kotecha, 2021, Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance, Eur Heart J, 42, 1866, 10.1093/eurheartj/ehab075 · DOI · Paper page
- Brito, 2021, High prevalence of pericardial involvement in college student athletes recovering from COVID-19, J Am Coll Cardiol Img, 14, 541, 10.1016/j.jcmg.2020.10.023 · DOI
- Ng, 2020, Patients recovered from COVID-19 show ongoing subclinical myocarditis as revealed by cardiac magnetic resonance imaging, J Am Coll Cardiol Img, 13, 2476, 10.1016/j.jcmg.2020.08.012 · DOI · Paper page
- Rajpal, 2021, Cardiovascular magnetic resonance findings in competitive athletes recovering from COVID-19 infection, JAMA Cardiol, 6, 116
- Sanghvi, 2021, Cardiac MRI and myocardial injury in COVID-19: Diagnosis, risk stratification and prognosis, Diagnostics (Basel), 11
- Cosyns, 2020, The role of cardiovascular imaging for myocardial injury in hospitalized COVID-19 patients, Eur Heart J Cardiovasc Imaging, 21, 709, 10.1093/ehjci/jeaa136 · DOI
- Luetkens, 2017, Feature-tracking myocardial strain analysis in acute myocarditis: Diagnostic value and association with myocardial oedema, Eur Radiol, 27, 4661, 10.1007/s00330-017-4854-4 · DOI
- Kramer, 2013, Standardized cardiovascular magnetic resonance (CMR) protocols 2013 update, J Cardiovasc Magn Reson, 15, 91, 10.1186/1532-429X-15-91 · DOI
- Breitbart, 2021, Clinical and cardiac magnetic resonance findings in post-COVID patients referred for suspected myocarditis, Clin Res Cardiol, 110, 1832, 10.1007/s00392-021-01929-5 · DOI
- Radunski, 2017, T1 and T2 mapping cardiovascular magnetic resonance imaging techniques reveal unapparent myocardial injury in patients with myocarditis, Clin Res Cardiol, 106, 10, 10.1007/s00392-016-1018-5 · DOI
- Puntmann, 2018, Society for Cardiovascular Magnetic Resonance (SCMR) expert consensus for CMR imaging endpoints in clinical research: Part I - analytical validation and clinical qualification, J Cardiovasc Magn Reson, 20, 67, 10.1186/s12968-018-0484-5 · DOI
- Ferreira, 2018, Cardiovascular magnetic resonance in nonischemic myocardial inflammation: Expert recommendations, J Am Coll Cardiol, 72, 3158, 10.1016/j.jacc.2018.09.072 · DOI · Paper page
- Daniels, 2021, Prevalence of clinical and subclinical myocarditis in competitive athletes with recent SARS-CoV-2 infection: Results from the big ten COVID-19 cardiac registry, JAMA Cardiol, 10.1001/jamacardio.2021.2065 · DOI
- Eiros, 2020, Pericarditis and myocarditis long after SARS-CoV-2 infection: A cross-sectional descriptive study in health-care workers, medRxiv
- Starekova, 2021, Evaluation for myocarditis in competitive student athletes recovering from coronavirus disease 2019 with cardiac magnetic resonance imaging, JAMA Cardiol, 6, 945, 10.1001/jamacardio.2020.7444 · DOI
- Małek, 2021, Cardiac involvement in consecutive elite athletes recovered from Covid-19: A magnetic resonance study, J Magn Reson Imaging, 53, 1723, 10.1002/jmri.27513 · DOI
- Clark, 2020, COVID-19 myocardial pathology evaluated through scrEening cardiac magnetic resonance (COMPETE CMR), medRxiv
- Weckbach, 2021, Myocardial inflammation and dysfunction in COVID-19-associated myocardial injury, Circ Cardiovasc Imaging, 14, 10.1161/CIRCIMAGING.120.011713 · DOI · Paper page
- Lurz, 2016, Comprehensive cardiac magnetic resonance imaging in patients with suspected myocarditis: The MyoRacer-trial, J Am Coll Cardiol, 67, 1800, 10.1016/j.jacc.2016.02.013 · DOI
- Joy, 2021, Prospective case-control study of cardiovascular abnormalities 6 months following mild COVID-19 in healthcare workers, J Am Coll Cardiol Img, S1936-878X
- Wu, 2021, Cardiac involvement in recovered patients from COVID-19: A preliminary 6-month follow-up study, Front Cardiovasc Med, 8
- Raman, 2021, Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge, EClinicalMedicine, 31, 10.1016/j.eclinm.2020.100683 · DOI
- Huang, 2020, Cardiac involvement in patients recovered from COVID-2019 identified using magnetic resonance imaging, J Am Coll Cardiol Img, 13, 2330, 10.1016/j.jcmg.2020.05.004 · DOI
- Li, 2021, Elevated extracellular volume fraction and reduced global longitudinal strains in participants recovered from COVID-19 without clinical cardiac findings, Radiology, 299, E230, 10.1148/radiol.2021203998 · DOI
- Wang, 2021, Cardiac involvement in COVID-19 patients: Mid-term follow up by cardiovascular magnetic resonance, J Cardiovasc Magn Reson, 23, 14, 10.1186/s12968-021-00710-x · DOI
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COVID-19, Myocarditis and Pericarditis
Fairweather, D., Beetler, D. J., Di Florio, D. N., Musigk, N., Heidecker, B., & Cooper, L. T. (2023) · Circulation Research · doi:10.1161/circresaha.123.321878 · Cited by 194
Metadata
- Authors
- Zhang, L., Wei, X., Wang, H., Jiang, R., Tan, Z., Ouyang, J., Li, X., Lei, C., Liu, H., & Liu, J.
- Affiliations
- Guangzhou Eighth People's Hospital (CN)
- Guangdong Academy of Medical Sciences (CN)
- Corresponding author
- Liu, Hui
- Liu, Jinxin
- Venue
- ESC Heart Failure
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-05-13
- Volume
- 9
- Issue
- 4
- Pages
- 2576-2584
- ISSN
- 2055-5822 (ISSN-L)
- PMC
- PMC9288765
- OpenAlex
- W4280587626
- Cited by
- 13
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 4
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- ESC Heart Failure (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Natural Science Foundation of Guangdong Province (2020A1515010650)
- National Natural Science Foundation of China (81974262)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Viral Infections and Immunology Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Keywords
- myocardial injury, myocarditis, native T1 mapping, T2 mapping, extracellular volume, late gadolinium enhancement, myocardial strain, cardiac troponin T, post-COVID-19 recovery, Lake Louise criteria
- MeSH terms
- COVID-19, SARS-CoV-2, Contrast Media, Female, Gadolinium, Humans, Magnetic Resonance Imaging, Middle Aged, Prospective Studies
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