Affiliation:
1. The Affiliated Hospital of Qingdao University
Abstract
Abstract
Purpose
To investigate the application value of 3D speckle tracking echocardiography (3D-STE) in evaluating early left ventricular (LV) systolic function in patients with different types of dyslipidemia.
Methods
A total of 102 patients with dyslipidemia treated at our hospital were selected and divided into high total cholesterol (TC) group, high triglyceride (TG) group, low high-density lipoprotein cholesterol (HDL-C) group and mixed dyslipidemia group, according to the variety of dyslipidemia. Thirty healthy volunteers approximately matched in age and sex were selected as the control group. Global longitudinal peak strain (GLPS), global circumferential peak strain (GCPS) and global radial peak strain (GRPS) of the left ventricle were obtained by 3D-STE for further analysis.
Results
①The GLPS and GCPS of the high TC group, high TG group and low HDL-C group were lower than those of the control group, and the GLPS, GCPS and GRPS of the mixed dyslipidemia group were lower than those of the other groups.② Linear regression analysis showed that GLPS and GCPS were negatively correlated with TC and TG but positively correlated with HDL-C, and GRPS was negatively correlated with TC but positively correlated with HDL-C. ③The ROC curve analysis showed that the area under the curve (AUC) of GLPS, GRPS and GCPS for detecting dyslipidemia patients was 0.793, 0.733 and 0.668, respectively. When the AUC of GLPS was the largest and the cut-off value was − 18.96%, the detection sensitivity was 86.7% and specificity was 61.8%. ④ The Bland-Altman analysis showed that 3D-STE parameters had good intra-observer and inter-observer consistency.
Conclusion
Dyslipidemia had adverse effects on left ventricular strain parameters, especially in patients with mixed dyslipidemia. 3D-STE effectively evaluated the global systolic function of LV in patients with different types of dyslipidemia, and has good clinical application value.
Publisher
Research Square Platform LLC