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首页> 外文期刊>American Journal of Physiology >Modeling the influence of body size and composition on M-mode echocardiographic dimensions.
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Modeling the influence of body size and composition on M-mode echocardiographic dimensions.

机译:模拟人体大小和成分对M型超声心动图尺寸的影响。

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The purpose of this study was to determine the optimal index for normalizing left ventricular (LV) echocardiographic dimensions for differences in body size. M-mode echocardiograms defined LV internal dimension at end diastole (LVIDD) and LV wall thickness (LVWT) in 107 adults (59 male, 48 female). Allometric relations were assessed between cardiac dimensions (Y) and body size variables (X) of fat-free mass (FFM), height (H), body surface area (BSA), and fat mass (FM). Further to confirmation of homogeneity of regression slopes, size exponents common to both genders were fitted by a log-linear model: ln Y = ln a + c.gender + b.ln X, where a is the proportionality coefficient, b is the size exponent, and c is the gender coefficient. For LVIDD, mean body size exponents (95% confidence interval) were FFM0.35 (0.22-0.47), H0.68 (0.32-1.03), and BSA0.44 (0.26-0.62). For LVWT, the derived exponents were FFM0.43 (0.20-0.65), H0.65 (0-1.3), and BSA0.56 (0.23-0.89). Body fatness (expressed by FM) had no influence on LV dimensions, with exponents not different from zero (P > 0.05). The root-mean-squares error from the separate regression models indicated that the FFM index was the optimal solution. Indexation of LV dimensions by H was associated with the greatest error. Because the 95% confidence interval for the FFM exponents included 0.33, we recommend that linear LV dimensions be indexed by the cube root of FFM. In the absence of FFM data, the root of BSA was found to be the best surrogate index.
机译:这项研究的目的是确定使左心室(LV)超声心动图尺寸正常化的最佳指标,以解决体型差异。 M型超声心动图定义了107位成人(男59例,女48例)的舒张末期LV内部尺寸(LVIDD)和LV壁厚(LVWT)。评估了无脂肪量(FFM),身高(H),体表面积(BSA)和脂肪量(FM)的心脏尺寸(Y)和体重变量(X)之间的异形关系。为了进一步确认回归斜率的同质性,通过对数线性模型拟合了两种性别所共有的大小指数:ln Y = ln a + c。性别+ b.ln X,其中a为比例系数,b为大小指数,c是性别系数。对于LVIDD,平均体重指数(95%置信区间)为FFM0.35(0.22-0.47),H0.68(0.32-1.03)和BSA0.44(0.26-0.62)。对于LVWT,衍生指数为FFM0.43(0.20-0.65),H0.65(0-1.3)和BSA0.56(0.23-0.89)。体脂(由FM表示)对LV尺寸没有影响,指数不为零(P> 0.05)。来自单独回归模型的均方根误差表明,FFM指数是最佳解决方案。 H对LV尺寸的分度与最大误差有关。因为FFM指数的95%置信区间包括0.33,所以我们建议线性LV尺寸由FFM的立方根索引。在缺乏FFM数据的情况下,发现BSA的根是最好的替代指标。

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