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Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis

BACKGROUND: Cardiac magnetic resonance imaging (MRI) is emerging as an important imaging tool in the assessment of heart failure with preserved ejection fraction (HFpEF). This systematic review and meta-analysis aim to synthesise and consolidate the current literature on cardiac MRI for prognosticat...

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Autores principales: Assadi, Hosamadin, Jones, Rachel, Swift, Andrew J., Al-Mohammad, Abdallah, Garg, Pankaj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819363/
https://www.ncbi.nlm.nih.gov/pubmed/33221422
http://dx.doi.org/10.1016/j.mri.2020.11.011
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author Assadi, Hosamadin
Jones, Rachel
Swift, Andrew J.
Al-Mohammad, Abdallah
Garg, Pankaj
author_facet Assadi, Hosamadin
Jones, Rachel
Swift, Andrew J.
Al-Mohammad, Abdallah
Garg, Pankaj
author_sort Assadi, Hosamadin
collection PubMed
description BACKGROUND: Cardiac magnetic resonance imaging (MRI) is emerging as an important imaging tool in the assessment of heart failure with preserved ejection fraction (HFpEF). This systematic review and meta-analysis aim to synthesise and consolidate the current literature on cardiac MRI for prognostication of HFpEF. METHODS DESIGN: Systematic review and meta-analysis. Data sources: Scopus (PubMed and Embase) for studies published between 2008 and 2019. Eligibility criteria for study selection were studies that evaluated the prognostic role of cardiac MRI in HFpEF. Random effects meta-analyses of the reported hazard ratios (HR) for clinical outcomes was performed. RESULTS: Initial screening identified 97 studies. From these, only nine (9%) studies met all the criteria. The main cardiac MRI methods that demonstrated association to prognosis in HFpEF included late gadolinium enhancement (LGE) assessment of scar (n = 3), tissue characterisation with T1-mapping (n = 4), myocardial ischaemia (n = 1) and right ventricular dysfunction (RVSD) (n = 1). The pooled HR for all 9 studies was 1.52 (95% CI 1.05–1.99, P < 0.01). Sub-evaluation by cardiac MRI methods revealed varying HRs: LGE (net n = 402, HR = 1.6, 95% CI 0.42–2.78, P = 0.008); T1-mapping (n = 1623, HR = 1.25, 95% CI 0.891–1.60, P < 0.001); myocardial ischaemia or RVSD (n = 325, HR = 3.19, 95% CI 0.30–6.08, P = 0.03). CONCLUSION: This meta-analysis demonstrates that multiparametric cardiac MRI has value in prognostication of patients with HFpEF. HFpEF patients with a detectable scar on LGE, fibrosis on T1-mapping, myocardial ischaemia or RVSD appear to have a worse prognosis. PROSPERO REGISTRATION NUMBER: CRD42020187228.
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spelling pubmed-78193632021-02-01 Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis Assadi, Hosamadin Jones, Rachel Swift, Andrew J. Al-Mohammad, Abdallah Garg, Pankaj Magn Reson Imaging Original Contribution BACKGROUND: Cardiac magnetic resonance imaging (MRI) is emerging as an important imaging tool in the assessment of heart failure with preserved ejection fraction (HFpEF). This systematic review and meta-analysis aim to synthesise and consolidate the current literature on cardiac MRI for prognostication of HFpEF. METHODS DESIGN: Systematic review and meta-analysis. Data sources: Scopus (PubMed and Embase) for studies published between 2008 and 2019. Eligibility criteria for study selection were studies that evaluated the prognostic role of cardiac MRI in HFpEF. Random effects meta-analyses of the reported hazard ratios (HR) for clinical outcomes was performed. RESULTS: Initial screening identified 97 studies. From these, only nine (9%) studies met all the criteria. The main cardiac MRI methods that demonstrated association to prognosis in HFpEF included late gadolinium enhancement (LGE) assessment of scar (n = 3), tissue characterisation with T1-mapping (n = 4), myocardial ischaemia (n = 1) and right ventricular dysfunction (RVSD) (n = 1). The pooled HR for all 9 studies was 1.52 (95% CI 1.05–1.99, P < 0.01). Sub-evaluation by cardiac MRI methods revealed varying HRs: LGE (net n = 402, HR = 1.6, 95% CI 0.42–2.78, P = 0.008); T1-mapping (n = 1623, HR = 1.25, 95% CI 0.891–1.60, P < 0.001); myocardial ischaemia or RVSD (n = 325, HR = 3.19, 95% CI 0.30–6.08, P = 0.03). CONCLUSION: This meta-analysis demonstrates that multiparametric cardiac MRI has value in prognostication of patients with HFpEF. HFpEF patients with a detectable scar on LGE, fibrosis on T1-mapping, myocardial ischaemia or RVSD appear to have a worse prognosis. PROSPERO REGISTRATION NUMBER: CRD42020187228. Elsevier 2021-02 /pmc/articles/PMC7819363/ /pubmed/33221422 http://dx.doi.org/10.1016/j.mri.2020.11.011 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Contribution
Assadi, Hosamadin
Jones, Rachel
Swift, Andrew J.
Al-Mohammad, Abdallah
Garg, Pankaj
Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis
title Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis
title_full Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis
title_fullStr Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis
title_full_unstemmed Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis
title_short Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis
title_sort cardiac mri for the prognostication of heart failure with preserved ejection fraction: a systematic review and meta-analysis
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819363/
https://www.ncbi.nlm.nih.gov/pubmed/33221422
http://dx.doi.org/10.1016/j.mri.2020.11.011
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