Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma

Multiple myeloma (MM) is a hematological malignancy of plasma cell origin. Cardiac amyloidosis (CA) is a common form of heart damage caused by MM and is associated with a poor prognosis. This study was a prospective cohort study and was aimed at evaluating the clinical predictive value of extracellu...

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Main Authors: Minghui Liu, Liang Shao, Zhaoxia Yang, Qian Wang, Balu Wu, Xiaoyan Liu, Yalan Yu, Tingting Huang, Meixing Wang, Yong He, Guohong Liu, Fuling Zhou
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Immunology Research
Online Access:http://dx.doi.org/10.1155/2022/3094933
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author Minghui Liu
Liang Shao
Zhaoxia Yang
Qian Wang
Balu Wu
Xiaoyan Liu
Yalan Yu
Tingting Huang
Meixing Wang
Yong He
Guohong Liu
Fuling Zhou
author_facet Minghui Liu
Liang Shao
Zhaoxia Yang
Qian Wang
Balu Wu
Xiaoyan Liu
Yalan Yu
Tingting Huang
Meixing Wang
Yong He
Guohong Liu
Fuling Zhou
author_sort Minghui Liu
collection DOAJ
description Multiple myeloma (MM) is a hematological malignancy of plasma cell origin. Cardiac amyloidosis (CA) is a common form of heart damage caused by MM and is associated with a poor prognosis. This study was a prospective cohort study and was aimed at evaluating the clinical predictive value of extracellular volume fraction (ECV) based on cardiovascular magnetic resonance (CMR) T1 mapping for cardiac amyloidosis and cardiac dysfunction in MM patients. Fifty-one newly diagnosed MM patients in Zhongnan Hospital of Wuhan University were enrolled in the study. A total of 19 patients (19/51; 37.25%) developed CA. The basal ECV of CA group was significantly higher than that of the non-CA group (p<0.01). Multivariate logistic regression analysis showed that basal ECV (OR=1.551, 95% CI 1.084-2.219, p<0.05) and LDH1 level (OR=1.150, 95% CI 1.010-1.310, p<0.05) were two independent risk factors for CA. Further study demonstrated that basal ECV in the heart failure group was significantly higher than that of the nonheart failure group (p<0.01). Notably, ROC curve showed that basal ECV had a good predictive value for CA and heart failure, with AUC of 0.911 and 0.893 (all p<0.01), and the best cutoff values of 38.35 and 37.45, respectively. Taken together, basal ECV is a good predictor of CA and heart failure for MM patients.
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spelling doaj-art-c48c0aa1b2c942bdbe6346e4e2e4b39f2025-08-20T02:18:50ZengWileyJournal of Immunology Research2314-71562022-01-01202210.1155/2022/3094933Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple MyelomaMinghui Liu0Liang Shao1Zhaoxia Yang2Qian Wang3Balu Wu4Xiaoyan Liu5Yalan Yu6Tingting Huang7Meixing Wang8Yong He9Guohong Liu10Fuling Zhou11Department of HematologyDepartment of HematologyDepartment of RadiologyDepartment of HematologyDepartment of HematologyDepartment of HematologyDepartment of HematologyDepartment of HematologyDepartment of HematologyDepartment of Nuclear MedicineDepartment of RadiologyDepartment of HematologyMultiple myeloma (MM) is a hematological malignancy of plasma cell origin. Cardiac amyloidosis (CA) is a common form of heart damage caused by MM and is associated with a poor prognosis. This study was a prospective cohort study and was aimed at evaluating the clinical predictive value of extracellular volume fraction (ECV) based on cardiovascular magnetic resonance (CMR) T1 mapping for cardiac amyloidosis and cardiac dysfunction in MM patients. Fifty-one newly diagnosed MM patients in Zhongnan Hospital of Wuhan University were enrolled in the study. A total of 19 patients (19/51; 37.25%) developed CA. The basal ECV of CA group was significantly higher than that of the non-CA group (p<0.01). Multivariate logistic regression analysis showed that basal ECV (OR=1.551, 95% CI 1.084-2.219, p<0.05) and LDH1 level (OR=1.150, 95% CI 1.010-1.310, p<0.05) were two independent risk factors for CA. Further study demonstrated that basal ECV in the heart failure group was significantly higher than that of the nonheart failure group (p<0.01). Notably, ROC curve showed that basal ECV had a good predictive value for CA and heart failure, with AUC of 0.911 and 0.893 (all p<0.01), and the best cutoff values of 38.35 and 37.45, respectively. Taken together, basal ECV is a good predictor of CA and heart failure for MM patients.http://dx.doi.org/10.1155/2022/3094933
spellingShingle Minghui Liu
Liang Shao
Zhaoxia Yang
Qian Wang
Balu Wu
Xiaoyan Liu
Yalan Yu
Tingting Huang
Meixing Wang
Yong He
Guohong Liu
Fuling Zhou
Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
Journal of Immunology Research
title Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
title_full Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
title_fullStr Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
title_full_unstemmed Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
title_short Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
title_sort extracellular volume fraction based on cardiac magnetic resonance t1 mapping an effective way to evaluate cardiac injury caused by cardiac amyloidosis in patients with multiple myeloma
url http://dx.doi.org/10.1155/2022/3094933
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