Changes in liver volume from birth to adulthood: A meta-analysis
Changes in liver volume from birth to adulthood: A meta-analysis
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DOI：
10.1002/lt.20519
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发表时间：
2005-12-01
影响因子：
4.6
通讯作者：
Rostami-Hodjegan, A
中科院分区：
文献类型：
--
作者：
Johnson, TN;Tucker, GT;Rostami-Hodjegan, A
有多种方程可用于估计肝脏体积 (LV)，这些方程源自对种族同质个体群体的研究并使用多种测量方法。本研究的目的是整合所有已发表的儿科数据，并定义一个用于估计出生后 LV 的通用方程。数据整理自 5,036 名受试者（出生至 18 岁）。方程是基于体表面积 (BSA) 的简单回归和 LV 的多元回归（以体重、身高、BSA、年龄、性别、种族、方法和出版年份作为协变量）开发的。将这些方程与文献中报道的方程一起比较了从出生到 18 岁的 LV 预测的准确性。根据 Akaike 信息标准 (AIC)、精度和偏差，并通过目视检查残余误差和观察与预测图，选择描述 LV 的最简约方程：LV = 0.722 * BSA(1.176)。多元回归模型表明，在给定体重的情况下，日本人的肝脏比白种人大 19%。与尸检时的测量结果相比，放射线照相和超声波测量结果与肝脏大小的估计值相比，降低了 8%。没有证据表明性别或研究发表年份（1933-1999）影响 LV 的估计。该通用方程也被应用于预测成人左心室，其精度和准确度优于 10/11 发表的成人模型。总之，我们开发了一个更通用的模型来预测儿童群体和年轻人的左心室，并研究了一系列协变量。
A diversity of equations is available for the estimation of liver volume (LV), derived from studies in populations of ethnically homogeneous individuals and using a variety of methods of measurement. The aim of this study was to integrate all published pediatric data and to define a general equation for estimating LV from birth onward. Data were collated from 5,036 subjects (birth to 18 yr old). Equations were developed based on simple regression against body surface area (BSA) and multiple regression of LV with weight, height, BSA, age, gender, race, methodology, and year of publication as covariates. These equations, together with those reported in the literature, were compared for accuracy of prediction of LV from birth to 18 yr old. The most parsimonious equation to describe LV was selected according to the Akaike information criteria (AIC), precision and bias and following visual inspection of residual errors and observed vs. predicted plots: LV = 0.722 * BSA(1.176). The multiple regression models indicated that Japanese have up to 19% larger livers compared to Caucasians for a given body weight. Radiographic and ultrasonic measurements were associated with up to 8% lower estimates of liver size compared to measurements made at autopsy. There was no evidence that gender or the year in which a study was published (1933-1999) influenced the estimation of LV. The general equation was also applied to predict adult LV, and its precision and accuracy was found to be superior to those of 10/11 published adult models. In conclusion, we have developed a more general model to predict LV in pediatric populations and young adults, and have investigated a range of covariates.