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Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance imaging: a systematic review with meta-analysis
Cardiac involvement is the foremost determinant of the clinical progression of amyloidosis. The diagnostic role of cardiac magnetic resonance (CMR) imaging in cardiac amyloidosis has been established, but the prognostic role of various right and left CMR tissue characterization and functional parame...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575621/ https://www.ncbi.nlm.nih.gov/pubmed/37840586 http://dx.doi.org/10.1093/ehjopen/oead092 |
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author | Boretto, Paolo Patel, Neal Hitesh Patel, Keval Rana, Mannat Saglietto, Andrea Soni, Manas Ahmad, Mahmood Sin Ying Ho, Jamie De Filippo, Ovidio Providencia, Rui Andre Hyett Bray, Jonathan James D’Ascenzo, Fabrizio |
author_facet | Boretto, Paolo Patel, Neal Hitesh Patel, Keval Rana, Mannat Saglietto, Andrea Soni, Manas Ahmad, Mahmood Sin Ying Ho, Jamie De Filippo, Ovidio Providencia, Rui Andre Hyett Bray, Jonathan James D’Ascenzo, Fabrizio |
author_sort | Boretto, Paolo |
collection | PubMed |
description | Cardiac involvement is the foremost determinant of the clinical progression of amyloidosis. The diagnostic role of cardiac magnetic resonance (CMR) imaging in cardiac amyloidosis has been established, but the prognostic role of various right and left CMR tissue characterization and functional parameters, including global longitudinal strain (GLS), late gadolinium enhancement (LGE), and parametric mapping, is yet to be delineated. We searched EMBASE, PubMed, and MEDLINE for studies analysing the prognostic use of CMR imaging in patients with light chain amyloidosis or transthyretin amyloidosis cardiac amyloidosis. The primary endpoint was all-cause mortality. A random effects model was used to calculate a pooled odds ratio using inverse-variance weighting. Nineteen studies with 2199 patients [66% males, median age 59.7 years, interquartile range (IQR) 58–67] were included. Median follow-up was 24 months (IQR 20–32), during which 40.8% of patients died. Both tissue characterization left heart parameters such as elevated extracellular volume [hazard ratio (HR) 3.95, 95% confidence interval (CI) 3.01–5.17], extension of left ventricular (LV) LGE (HR 2.69, 95% CI 2.07–3.49) elevated native T1 (HR 2.19, 95% CI 1.12–4.28), and functional parameters such as reduced LV GLS (HR 1.91, 95% CI 1.52–2.41) and reduced LV ejection fraction (EF; HR 1.20, 95% CI 1.17–1.23) were associated with increased all-cause mortality. Unlike the presence of right ventricular (RV) LGE (HR 3.40, 95% CI 0.51–22.54), parameters such as RV GLS (HR 2.08, 95% CI 1.6–2.69), RVEF (HR 1.13, 95% CI 1.05–1.22), and tricuspid annular systolic excursion (TAPSE) (HR 1.11, 95% CI 1.02–1.21) were also associated with mortality. In this large meta-analysis of patients with cardiac amyloidosis, CMR parameters assessing RV and LV function and tissue characterization were associated with an increased risk of mortality. |
format | Online Article Text |
id | pubmed-10575621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105756212023-10-14 Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance imaging: a systematic review with meta-analysis Boretto, Paolo Patel, Neal Hitesh Patel, Keval Rana, Mannat Saglietto, Andrea Soni, Manas Ahmad, Mahmood Sin Ying Ho, Jamie De Filippo, Ovidio Providencia, Rui Andre Hyett Bray, Jonathan James D’Ascenzo, Fabrizio Eur Heart J Open Review Cardiac involvement is the foremost determinant of the clinical progression of amyloidosis. The diagnostic role of cardiac magnetic resonance (CMR) imaging in cardiac amyloidosis has been established, but the prognostic role of various right and left CMR tissue characterization and functional parameters, including global longitudinal strain (GLS), late gadolinium enhancement (LGE), and parametric mapping, is yet to be delineated. We searched EMBASE, PubMed, and MEDLINE for studies analysing the prognostic use of CMR imaging in patients with light chain amyloidosis or transthyretin amyloidosis cardiac amyloidosis. The primary endpoint was all-cause mortality. A random effects model was used to calculate a pooled odds ratio using inverse-variance weighting. Nineteen studies with 2199 patients [66% males, median age 59.7 years, interquartile range (IQR) 58–67] were included. Median follow-up was 24 months (IQR 20–32), during which 40.8% of patients died. Both tissue characterization left heart parameters such as elevated extracellular volume [hazard ratio (HR) 3.95, 95% confidence interval (CI) 3.01–5.17], extension of left ventricular (LV) LGE (HR 2.69, 95% CI 2.07–3.49) elevated native T1 (HR 2.19, 95% CI 1.12–4.28), and functional parameters such as reduced LV GLS (HR 1.91, 95% CI 1.52–2.41) and reduced LV ejection fraction (EF; HR 1.20, 95% CI 1.17–1.23) were associated with increased all-cause mortality. Unlike the presence of right ventricular (RV) LGE (HR 3.40, 95% CI 0.51–22.54), parameters such as RV GLS (HR 2.08, 95% CI 1.6–2.69), RVEF (HR 1.13, 95% CI 1.05–1.22), and tricuspid annular systolic excursion (TAPSE) (HR 1.11, 95% CI 1.02–1.21) were also associated with mortality. In this large meta-analysis of patients with cardiac amyloidosis, CMR parameters assessing RV and LV function and tissue characterization were associated with an increased risk of mortality. Oxford University Press 2023-09-22 /pmc/articles/PMC10575621/ /pubmed/37840586 http://dx.doi.org/10.1093/ehjopen/oead092 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Review Boretto, Paolo Patel, Neal Hitesh Patel, Keval Rana, Mannat Saglietto, Andrea Soni, Manas Ahmad, Mahmood Sin Ying Ho, Jamie De Filippo, Ovidio Providencia, Rui Andre Hyett Bray, Jonathan James D’Ascenzo, Fabrizio Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance imaging: a systematic review with meta-analysis |
title | Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance
imaging: a systematic review with meta-analysis |
title_full | Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance
imaging: a systematic review with meta-analysis |
title_fullStr | Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance
imaging: a systematic review with meta-analysis |
title_full_unstemmed | Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance
imaging: a systematic review with meta-analysis |
title_short | Prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance
imaging: a systematic review with meta-analysis |
title_sort | prognosis prediction in cardiac amyloidosis by cardiac magnetic resonance
imaging: a systematic review with meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575621/ https://www.ncbi.nlm.nih.gov/pubmed/37840586 http://dx.doi.org/10.1093/ehjopen/oead092 |
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