Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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
_version_ 1785120961101561856
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
work_keys_str_mv AT borettopaolo prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT patelnealhitesh prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT patelkeval prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT ranamannat prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT sagliettoandrea prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT sonimanas prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT ahmadmahmood prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT sinyinghojamie prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT defilippoovidio prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT providenciaruiandre prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT hyettbrayjonathanjames prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis
AT dascenzofabrizio prognosispredictionincardiacamyloidosisbycardiacmagneticresonanceimagingasystematicreviewwithmetaanalysis