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Xing Y, Shi J, Yan Y, Liu Y, Chen Y, Kong D, Shu X, Pan C. Subclinical myocardial dysfunction in coronary slow flow phenomenon: Identification by speckle tracking echocardiography. Microcirculation 2018; 26:e12509. [PMID: 30365186 DOI: 10.1111/micc.12509] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 10/13/2018] [Accepted: 10/19/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVE This study aimed to determine whether STE could help detect subclinical myocardial dysfunction in patients with CSFP. METHODS Sixty patients with CSFP confirmed by CAG and 51 controls with normal coronary flow were prospectively enrolled. Coronary angiographic data and conventional and speckle tracking echocardiographic parameters of the LV and RV were obtained for every subject. RESULTS Compared with controls, CSFP patients presented with higher BMI and TG levels, but lower HDL-C levels. Conventional echocardiographic parameters of biventricular systolic and diastolic function did not differ between the two groups (all P > 0.05). The GLS of the LV and RV was significantly impaired in CSFP patients compared with that in controls (-19.03% vs -21.42%, P < 0.001 and -19.72% vs -22.96%, P = 0.001, respectively). The myocardial impairment pattern of CSFP patients was homogenous in the RV and heterogeneous in the LV, where only endo- and mid-myocardial layers were affected. LV-GLS and RV-GLS were found to be well correlated with mTFC and HDL-C in CSFP groups (r = 0.463 vs r = 0.439; r = -0.569 vs r = -0.552, all P < 0.05). ROC curve analysis demonstrated that LV-GLS-endo had the highest AUC (0.867, P < 0.001) for predicting subclinical myocardial impairment in CSFP patients. CONCLUSIONS Subclinical myocardial systolic dysfunction occurs in both ventricles, and GLS could be an effective method to detect early-stage myocardial impairment in patients with CSFP.
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Affiliation(s)
- Yumeng Xing
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Jing Shi
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Yan Yan
- Department of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Fudan University, Shanghai, China
| | - Yu Liu
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Yongle Chen
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Dehong Kong
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
| | - Xianhong Shu
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China.,Department of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Fudan University, Shanghai, China
| | - Cuizhen Pan
- Department of Echocardiography, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China
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