| Literature DB >> 32529348 |
Haiyong Wang1, Yan Song1, Jingjing Mu1, Jing Shang1, Jiabing Wang2, Litao Ruan3.
Abstract
The left ventricular (LV) systolic dyssynchrony index (SDI) is an important prognostic indicator for many cardiovascular diseases; however, the characteristics of the SDI in patients with Kawasaki disease (KD) are unknown. In this study, we aimed to identify and quantify the SDI using real-time three-dimensional echocardiography (RT3DE) in KD patients during different phases. In addition, we intended to explore whether the SDI is associated with systolic dysfunction. Seventy consecutive KD patients and seventy age- and sex-matched controls were enrolled. The SDIs (percent of cardiac cycle) of 16 segments (16-SDI%) and 12 segments (12-SDI%) were calculated based on the defined standard deviation of each segment time from end diastole to the minimal systolic volume according to the 17-segment model (apex excluded). In the acute phase, the 16-SDI% and 12-SDI% were significantly higher in KD patients than in controls (4.40 ± 0.14 vs. 1.98 ± 0.12, P = 0.000; 3.55 ± 1.21 vs. 1.67 ± 0.93, P = 0.009, respectively), and patients with coronary artery aneurysm (CAA) exhibited higher 16-SDI% (P = 0.021) and 12-SDI% (P = 0.034) than patients without CAA. In the convalescent phase, patients with CAA still had higher 16-SDI% (P = 0.002) and 12-SDI% (P = 0.031) than controls, while the SDI in patients without CAA recovered to normal. The 16-SDI% was negatively correlated with the LV ejection fraction obtained from RT3DE (r = - 0.845, P = 0.000). Mechanical dyssynchrony is prevalent in KD patients during the acute phase and transient in patients without CAA, while patients with CAA still have impaired synchrony even in the convalescent phase. LV systolic dysfunction is associated with increased dyssynchrony. RT3DE is a valuable modality for identifying and quantifying dyssynchrony in KD patients.Entities:
Keywords: Dyssynchrony; Kawasaki disease; Left ventricle; Real-time three-dimensional echocardiography
Mesh:
Year: 2020 PMID: 32529348 DOI: 10.1007/s10554-020-01909-2
Source DB: PubMed Journal: Int J Cardiovasc Imaging ISSN: 1569-5794 Impact factor: 2.357