Article ; Online: Role of feature tracking cardiac magnetic resonance imaging in early detection of cardiac dysfunction in β-thalassemia patients recovered from COVID-19: A cross-sectional study.
Health science reports
2024 Volume 7, Issue 1, Page(s) e1783
Abstract: Background and aims: β-Thalassemia patients may have cardiac complications due to iron overload, which puts them at higher risk of cardiac complications induced by coronavirus disease 2019 (COVID-19) compared with the normal population. The present ... ...
Abstract | Background and aims: β-Thalassemia patients may have cardiac complications due to iron overload, which puts them at higher risk of cardiac complications induced by coronavirus disease 2019 (COVID-19) compared with the normal population. The present study aims to evaluate early cardiovascular complications following iron overload in β-thalassemia patients who had early recovery from COVID-19 by cardiac magnetic resonance imaging (MRI) and feature-tracking technique. Methods: Thirty-two confirmed COVID-19-recovered β-thalassemia cases were evaluated within 3 weeks to 3 months after a positive reverse-transcriptase polymerase chain reaction COVID-19 test. Both the heart and liver of all patients were examined using cardiac MRI. Results: We analyzed 32 patients with mean age of 32.84 ± 6.45 years at baseline. Left ventricular global strain values were significantly associated with myocardial T2*. A cut-off value of -15.08% for global longitudinal strain (GLS) with sensitivity and specificity of 90% and 61.1% ( Conclusion: GLS, GRS, and GCS were significantly decreased in patients with myocardial T2* <20 ms (iron overload), while no significant change was observed in the right and left ventricular ejection fraction (RV- and LVEF). Cardiac MRI feature-tracking may be helpful in the early detection of cardiac complications resulting from iron overload in β-thalassemia patients who had early recovery from COVID-19. |
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Language | English |
Publishing date | 2024-01-04 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2398-8835 |
ISSN (online) | 2398-8835 |
DOI | 10.1002/hsr2.1783 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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