Role of Multi-parameter-based Cardiac Magnetic Resonance in the Evaluation of Patients with Coronary Heart Disease Combined with Heart Failure

Author:

Yu Ying1,Liao Bihong2,Zhang Jingjing3,Zou Jin3,Deng Jia3,Liu Jiaqi4,Wang Gang3,Li Yueyan3,Qian Fengcui4,Huang Hong5,Wang Qiuyu6,Tian Jinwei7,Tang Huifang3

Affiliation:

1. Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China | Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, 421001, China | The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China

2. Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China

3. Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China

4. The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China

5. The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China

6. Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, 421001, China

7. Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China

Abstract

Background: Coronary Heart Disease (CHD) is one of the most common types of cardiovascular disease, and Heart Failure (HF) is an important factor in its progression. We aimed to evaluate the diagnostic value and predictors of multiparametric Cardiac Magnetic Resonance (CMR) in CHD patients with HF. Methods: The study retrospectively included 145 CHD patients who were classified into CHD (HF+) (n = 91) and CHD (HF–) (n = 54) groups according to whether HF occurred. CMR assessed LV function, myocardial strain and T1 mapping. Multivariate linear regression analyses were performed to identify predictors of LV dysfunction, myocardial fibrosis, and LV remodeling Results: CHD (HF+) group had impaired strain, with increased native T1, ECV, and LVM index. The impaired strain was associated with LVM index (p < 0.05), where native T1 and ECV were affected by log-transformed amino-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. ROC analysis showed the combination of global circumferential strain (GCS), native T1, and LVM had a higher diagnostic value for the occurrence of HF in CHD patients. Meanwhile, log-transformed NT-proBNP was an independent determinant of impaired strain, increased LVM index, native T1 and ECV. Conclusion: HF has harmful effects on LV systolic function in patients with CHD. In CHD (HF+) group, LV dysfunction is strongly correlated with the degree of LV remodeling and myocardial fibrosis. The combination of the three is more valuable in diagnosing HF than conventional indicators.

Funder

Scientific Research Fund Project of Hunan Provincial Health Commission

Key Project of Hunan Provincial Science and Technology Innovation

Special Funds for the Construction of Innovative Provinces in Hunan

University of South China

Hengyang Science and Technology Bureau

University of south China for Prevention and Control of COVID-19

Publisher

Bentham Science Publishers Ltd.

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