Literature DB >> 30365186

Subclinical myocardial dysfunction in coronary slow flow phenomenon: Identification by speckle tracking echocardiography.

Yumeng Xing1, Jing Shi1, Yan Yan2, Yu Liu1, Yongle Chen1, Dehong Kong1, Xianhong Shu1,2, Cuizhen Pan1.   

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.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  coronary slow flow phenomenon; echocardiography; longitudinal strain; speckle tracking

Mesh:

Substances:

Year:  2018        PMID: 30365186     DOI: 10.1111/micc.12509

Source DB:  PubMed          Journal:  Microcirculation        ISSN: 1073-9688            Impact factor:   2.628


  4 in total

1.  Evaluation of left atrial volume and function in patients with coronary slow flow phenomenon using real-time three-dimensional echocardiography.

Authors:  Yumeng Xing; Yongle Chen; Yu Liu; Dehong Kong; Yan Yan; Xianhong Shu; Cuizhen Pan
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-25       Impact factor: 2.357

2.  Left Ventricular Diastolic Function: Comparison of Slow Coronary Flow Phenomenon and Left Ventricular Hypertrophy in the Absence of Obstructive Coronary Disease.

Authors:  Niya E Semerdzhieva; Stefan V Denchev; Mariana V Gospodinova
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3.  Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention.

Authors:  Lianxiang Deng; Xianming Zhao; Xiaolin Su; Mei Zhou; Daizheng Huang; Xiaocong Zeng
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-24       Impact factor: 3.298

4.  The effect of early dual antiplatelet timing on the microvascular resistance and ventricular function in primary percutaneous coronary intervention.

Authors:  Doni Firman; Imammurahman Taslim; Surya Buana Wangi; Emir Yonas; Raymond Pranata; Amir Aziz Alkatiri
Journal:  Medicine (Baltimore)       Date:  2020-07-17       Impact factor: 1.817

  4 in total

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