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Assessment of myocardial strain in children with risk factors for atherosclerosis with use of 3D speckle tracking echocardiography
Author(s) -
Zhang Peixu,
Li Dongqing,
Su Yanzhuo,
Wang Xiaona,
Sun Jianping,
Xu Yang,
Sun Jinghui
Publication year - 2018
Publication title -
echocardiography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 62
eISSN - 1540-8175
pISSN - 0742-2822
DOI - 10.1111/echo.13806
Subject(s) - medicine , dyslipidemia , cardiology , blood pressure , body mass index , speckle tracking echocardiography , subclinical infection , overweight , diastole , triglyceride , endocrinology , obesity , cholesterol , heart failure , ejection fraction
Background The known risk factors for atherosclerosis such as dyslipidemia, hypertension, obesity, and fasting hyperglycemia are associated with subclinical myocardial dysfunction. We assessed myocardial strain in children who had risk factors for atherosclerosis with use of 3D speckle tracking echocardiography (3DSTE). Methods A total of 340 eligible children (mean age [±SD]: 9.5 [±1.9] years; range, 7.1–12.2; 189 males, 151 females). Levels of serum cholesterol (TC), triglyceride (TG), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), fasting blood glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI) were investigated. The parameters of left ventricular (LV) myocardial strain including global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) were measured with use of real time 3DSTE. Results Left ventricular (LV) global longitudinal strain and global circumferential strain in the groups with isolated dyslipidemia, isolated hypertension, isolated obese/overweight, and combination groups were lower than those in healthy controls ( P < .01 for all). Global longitudinal strain (GLS) and GCS showed a negative correlation with the respective risk factors (TG, TC, and LDL‐C; SBP and DBP; weight and BMI) ( P < .05 for all). Multiple stepwise regression analysis showed a significant negative correlation of GLS and GCS with BMI, TC, TG, and SBP. The degree of myocardial strain aggravated significantly with increase in the number of risk factors in an individual subject.