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Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis

Introduction: Patients with systemic AL amyloidosis (AL) should be evaluated for cardiac amyloidosis (CA), as prognosis is strongly related to cardiac involvement. We assessed the characteristics of patients referred to cardiac magnetic resonance (CMR) with suspected CA from a cancer center and dete...

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Autores principales: Agha, Ali M., Palaskas, Nicolas, Patel, Amit R., DeCara, Jeanne, Parwani, Purvi, Iliescu, Cezar, Durand, Jean B., Kim, Peter, Hassan, Saamir, Gladish, Gregory, Lee, Hans C., Kaufman, Gregory P., Lopez-Mattei, Juan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276072/
https://www.ncbi.nlm.nih.gov/pubmed/34268341
http://dx.doi.org/10.3389/fcvm.2021.626414
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author Agha, Ali M.
Palaskas, Nicolas
Patel, Amit R.
DeCara, Jeanne
Parwani, Purvi
Iliescu, Cezar
Durand, Jean B.
Kim, Peter
Hassan, Saamir
Gladish, Gregory
Lee, Hans C.
Kaufman, Gregory P.
Lopez-Mattei, Juan C.
author_facet Agha, Ali M.
Palaskas, Nicolas
Patel, Amit R.
DeCara, Jeanne
Parwani, Purvi
Iliescu, Cezar
Durand, Jean B.
Kim, Peter
Hassan, Saamir
Gladish, Gregory
Lee, Hans C.
Kaufman, Gregory P.
Lopez-Mattei, Juan C.
author_sort Agha, Ali M.
collection PubMed
description Introduction: Patients with systemic AL amyloidosis (AL) should be evaluated for cardiac amyloidosis (CA), as prognosis is strongly related to cardiac involvement. We assessed the characteristics of patients referred to cardiac magnetic resonance (CMR) with suspected CA from a cancer center and determine predictors of mortality/heart failure hospitalizations (HFH). Methods: Forty-four consecutive patients referred for CMR with suspected CA were retrospectively included. Variables collected included cardiac biomarkers, in addition to echocardiographic and CMR variables. Survival analyses were performed to determine which variables were more predictive of mortality and HFH. Results: Of the 44 patients included, 55% were females. 73% of patients were diagnosed with CA by CMR; 56% of them had an established diagnosis of AL. Patients with CA by CMR had higher native T1, higher extracellular volume (ECV) fraction, higher T2, less negative GLS by Echo, and higher troponin I and B-type natriuretic peptide (BNP). Kaplan-Meier survival analysis revealed that the following were predictive of mortality: an ECV ≥ 0.50 (p = 0.0098), CMR LVEF < 50% (p = 0.0010), T2/ECV ≤ 100 (p = 0.0001), and troponin I > 0.03 (p = 0.0025). In a stepwise conditional Cox logistic regression model, the only variable predictive of a composite of mortality and HFH was ECV (HR: 1.17, 95% CI = 1.02–1.34 p = 0.030). Conclusion: ECV seems to be an important biomarker that could be a predictor of outcomes in cardiac AL amyloidosis. In combination, CMR and serum cardiac biomarkers might help to establish prognosis in patients with CA.
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spelling pubmed-82760722021-07-14 Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis Agha, Ali M. Palaskas, Nicolas Patel, Amit R. DeCara, Jeanne Parwani, Purvi Iliescu, Cezar Durand, Jean B. Kim, Peter Hassan, Saamir Gladish, Gregory Lee, Hans C. Kaufman, Gregory P. Lopez-Mattei, Juan C. Front Cardiovasc Med Cardiovascular Medicine Introduction: Patients with systemic AL amyloidosis (AL) should be evaluated for cardiac amyloidosis (CA), as prognosis is strongly related to cardiac involvement. We assessed the characteristics of patients referred to cardiac magnetic resonance (CMR) with suspected CA from a cancer center and determine predictors of mortality/heart failure hospitalizations (HFH). Methods: Forty-four consecutive patients referred for CMR with suspected CA were retrospectively included. Variables collected included cardiac biomarkers, in addition to echocardiographic and CMR variables. Survival analyses were performed to determine which variables were more predictive of mortality and HFH. Results: Of the 44 patients included, 55% were females. 73% of patients were diagnosed with CA by CMR; 56% of them had an established diagnosis of AL. Patients with CA by CMR had higher native T1, higher extracellular volume (ECV) fraction, higher T2, less negative GLS by Echo, and higher troponin I and B-type natriuretic peptide (BNP). Kaplan-Meier survival analysis revealed that the following were predictive of mortality: an ECV ≥ 0.50 (p = 0.0098), CMR LVEF < 50% (p = 0.0010), T2/ECV ≤ 100 (p = 0.0001), and troponin I > 0.03 (p = 0.0025). In a stepwise conditional Cox logistic regression model, the only variable predictive of a composite of mortality and HFH was ECV (HR: 1.17, 95% CI = 1.02–1.34 p = 0.030). Conclusion: ECV seems to be an important biomarker that could be a predictor of outcomes in cardiac AL amyloidosis. In combination, CMR and serum cardiac biomarkers might help to establish prognosis in patients with CA. Frontiers Media S.A. 2021-06-29 /pmc/articles/PMC8276072/ /pubmed/34268341 http://dx.doi.org/10.3389/fcvm.2021.626414 Text en Copyright © 2021 Agha, Palaskas, Patel, DeCara, Parwani, Iliescu, Durand, Kim, Hassan, Gladish, Lee, Kaufman and Lopez-Mattei. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Agha, Ali M.
Palaskas, Nicolas
Patel, Amit R.
DeCara, Jeanne
Parwani, Purvi
Iliescu, Cezar
Durand, Jean B.
Kim, Peter
Hassan, Saamir
Gladish, Gregory
Lee, Hans C.
Kaufman, Gregory P.
Lopez-Mattei, Juan C.
Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis
title Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis
title_full Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis
title_fullStr Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis
title_full_unstemmed Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis
title_short Cardiac Magnetic Resonance Predicting Outcomes Among Patients at Risk for Cardiac AL Amyloidosis
title_sort cardiac magnetic resonance predicting outcomes among patients at risk for cardiac al amyloidosis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276072/
https://www.ncbi.nlm.nih.gov/pubmed/34268341
http://dx.doi.org/10.3389/fcvm.2021.626414
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