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Hu M, Song Y, Yang C, Wang J, Zhu W, Kan A, Yang P, Dai J, Yu H, Gong L. The value of myocardial contraction fraction and long-axis strain to predict late gadolinium enhancement in multiple myeloma patients with secondary cardiac amyloidosis. Sci Rep 2024; 14:16832. [PMID: 39039146 PMCID: PMC11263677 DOI: 10.1038/s41598-024-67544-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 07/12/2024] [Indexed: 07/24/2024] Open
Abstract
The aim of this study is to assess the effectiveness of conventional and two additional functional markers derived from standard cardiac magnetic resonance (CMR) images in detecting the occurrence of late gadolinium enhancement (LGE) in patients with secondary cardiac amyloidosis (CA) related to multiple myeloma (MM). This study retrospectively included 32 patients with preserved ejection fraction (EF) who had MM-CA diagnosed consecutively. Conventional left ventricular (LV) function markers and two additional functional markers, namely myocardial contraction fraction (MCF) and LV long-axis strain (LAS), were obtained using commercial cardiac post-processing software. Logistic regression analyses and receiver operating characteristic (ROC) analysis were performed to evaluate the predictive performances. (1) There were no notable distinctions in clinical features between the LGE+ and LGE- groups, with the exception of a reduced systolic blood pressure in the former (105.60 ± 18.85 mmHg vs. 124.50 ± 20.95 mmHg, P = 0.022). (2) Patients with MM-CA presented with intractable heart failure with preserved ejection fraction (HFpEF). The LVEF in the LGE+ group exhibited a greater reduction (54.27%, IQR 51.59-58.39%) in comparison to the LGE- group (P < 0.05). And MM-CA patients with LGE+ had significantly higher LVMI (90.15 ± 23.69 g/m2), lower MCF (47.39%, IQR 34.28-54.90%), and the LV LAS were more severely damaged (- 9.94 ± 3.42%) than patients with LGE- (all P values < 0.05). (3) The study found that MCF exhibited a significant independent association with LGE, as indicated by an odds ratio of 0.89 (P < 0.05). The cut-off value for MCF was determined to be 64.25% with a 95% confidence interval ranging from 0.758 to 0.983. The sensitivity and specificity of this association were calculated to be 95% and 83%, respectively. MCF is a simple reproducible predict marker of LGE in MM-CA patients. It is a potentially CMR-based method that promise to reduce scan times and costs, and boost the accessibility of CMR.
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Affiliation(s)
- Mengyao Hu
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Yipei Song
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Chunhua Yang
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Jiazhao Wang
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Wei Zhu
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Ao Kan
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Pei Yang
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Jiankun Dai
- Clinical and Technical Support, GE Healthcare, Beijing, People's Republic of China
| | - Honghui Yu
- Department of Radiology, The First Affiliated Hospital of Nanchang University, No.17, Yongwai Zheng Street, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
| | - Lianggeng Gong
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
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Gaba M, Kumar N, Pandey A, Dewan A. An interesting case of AL amyloidosis and MM: a complex scenario with cardiac involvement. BMJ Case Rep 2024; 17:e256012. [PMID: 38272507 PMCID: PMC10826505 DOI: 10.1136/bcr-2023-256012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024] Open
Abstract
Our patient presented with complaints of progressive shortness of breath for 1 month. She was diagnosed with a case of infiltrative type of restrictive cardiomyopathy (RCM) based on echocardiography and cardiac MRI findings. Her fat pad biopsy was suggestive of AL type of amyloidosis (AL). She was diagnosed with a case of multiple myeloma (MM) based on bone marrow biopsy findings with 48% plasma cells and a skeletal survey with lytic bone lesions on the skull, thus meeting the Crab criteria. We want to highlight the complex nature of this case and the difficulties associated with making a diagnosis. This case report presents an excellent opportunity to touch on the interesting topics of RCM, amyloidosis and MM.
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Affiliation(s)
- Manish Gaba
- Internal Medicine, Max Smart Super Speciality Hospital, New Delhi, Delhi, India
| | - Naveen Kumar
- Internal Medicine, Max Smart Super Speciality Hospital, New Delhi, Delhi, India
| | - Ankita Pandey
- Internal Medicine, Max Smart Super Speciality Hospital, New Delhi, Delhi, India
| | - Arun Dewan
- Internal Medicine, Max Smart Super Speciality Hospital, New Delhi, Delhi, India
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