PDF(Pubmed)
Abstract：
BACKGROUND: Echocardiographic myocardial work is a new load-independent echocardiographic technique to quantify left ventricle (LV) systolic performance. Our aim was to establish normal values for echocardiographic myocardial work in a large population of healthy children.
METHODS: For all the subjects 4-, 2-, and 3-chamber-view videos were stored. The following parameters were obtained by offline analysis: the global myocardial work (GMW), the global myocardial constructive work (GCW), the global myocardial wasted work (GWW), and the global myocardial work efficiency (GWE). Age, weight, height, heart rate, and body surface area (BSA) were used as independent variables in the statistical analysis.
RESULTS: In all, 516 healthy subjects (age range, 1 day-18 years; median age, 8.2 ± 5.3 years; 55.8% male; body surface area (BSA) range, 0.16 to 2.12 m2) were included. GWI, GCW, and GWW increased with weight, height, and BSA (ρ ranging from 0.635 to 0.226, p all < 0.01); GWI and GCW positively correlated with age (ρ 0.653 and 0.507). After adjusting for BSA differences, females showed higher mean GWI (p = 0.002) and GCW values (p < 0.001), thus Z-score equations for gender have been presented.
CONCLUSIONS: We provided MW values in a large population of healthy pediatric subjects including lower ages. MW values increased with age and body size and, interestingly, were higher in females than in men. These data cover a gap in current nomograms and may serve as a baseline for the evaluation of MW analysis in children with congenital and acquired heart diseases.
METHODS: For all the subjects 4-, 2-, and 3-chamber-view videos were stored. The following parameters were obtained by offline analysis: the global myocardial work (GMW), the global myocardial constructive work (GCW), the global myocardial wasted work (GWW), and the global myocardial work efficiency (GWE). Age, weight, height, heart rate, and body surface area (BSA) were used as independent variables in the statistical analysis.
RESULTS: In all, 516 healthy subjects (age range, 1 day-18 years; median age, 8.2 ± 5.3 years; 55.8% male; body surface area (BSA) range, 0.16 to 2.12 m2) were included. GWI, GCW, and GWW increased with weight, height, and BSA (ρ ranging from 0.635 to 0.226, p all < 0.01); GWI and GCW positively correlated with age (ρ 0.653 and 0.507). After adjusting for BSA differences, females showed higher mean GWI (p = 0.002) and GCW values (p < 0.001), thus Z-score equations for gender have been presented.
CONCLUSIONS: We provided MW values in a large population of healthy pediatric subjects including lower ages. MW values increased with age and body size and, interestingly, were higher in females than in men. These data cover a gap in current nomograms and may serve as a baseline for the evaluation of MW analysis in children with congenital and acquired heart diseases.
摘要：
背景：超声心动图心肌工作是一种新的独立于负荷的超声心动图技术，可量化左心室（LV）的收缩表现。我们的目标是在大量健康儿童中建立超声心动图心肌工作的正常值。
方法：对于所有受试者4-，2-,并存储了3腔视图视频。通过离线分析获得以下参数：全局心肌功（GMW），全球心肌构建工作（GCW），全球心肌浪费工作(GWW)，和全球心肌工作效率(GWE)。年龄,体重,高度,心率,和体表面积（BSA）被用作统计学分析中的独立变量。
结果：总而言之，516名健康受试者(年龄范围，1天-18岁；平均年龄，8.2±5.3岁；男性占55.8％；体表面积（BSA）范围，包括0.16至2.12m2）。GWI,GCW,GWW随着体重的增加而增加，高度,和BSA（ρ范围为0.635至0.226，p均<0.01）；GWI和GCW与年龄呈正相关（ρ0.653和0.507）。调整BSA差异后，女性表现出更高的平均GWI（p=0.002）和GCW值（p<0.001），因此，已经提出了性别的Z分数方程。
结论：我们提供了大量健康儿科受试者（包括较低年龄）的MW值。MW值随着年龄和体型的增加而增加，有趣的是,女性高于男性。这些数据涵盖了当前列线图中的空白，可以作为评估先天性和后天性心脏病儿童MW分析的基线。
方法：对于所有受试者4-，2-,并存储了3腔视图视频。通过离线分析获得以下参数：全局心肌功（GMW），全球心肌构建工作（GCW），全球心肌浪费工作(GWW)，和全球心肌工作效率(GWE)。年龄,体重,高度,心率,和体表面积（BSA）被用作统计学分析中的独立变量。
结果：总而言之，516名健康受试者(年龄范围，1天-18岁；平均年龄，8.2±5.3岁；男性占55.8％；体表面积（BSA）范围，包括0.16至2.12m2）。GWI,GCW,GWW随着体重的增加而增加，高度,和BSA（ρ范围为0.635至0.226，p均<0.01）；GWI和GCW与年龄呈正相关（ρ0.653和0.507）。调整BSA差异后，女性表现出更高的平均GWI（p=0.002）和GCW值（p<0.001），因此，已经提出了性别的Z分数方程。
结论：我们提供了大量健康儿科受试者（包括较低年龄）的MW值。MW值随着年龄和体型的增加而增加，有趣的是,女性高于男性。这些数据涵盖了当前列线图中的空白，可以作为评估先天性和后天性心脏病儿童MW分析的基线。
