Growth of fetal lean mass and fetal fat mass in gestational diabetes
Growth of fetal lean mass and fetal fat mass in gestational diabetes
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DOI：
10.1002/uog.7575
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发表时间：
2010-09-01
影响因子：
7.1
通讯作者：
Cetin, I.
中科院分区：
文献类型：
--
作者：
de Santis, M. S. Nobile;Taricco, E.;Cetin, I.
目的探讨妊娠合并妊娠糖尿病（GDM）孕妇妊娠后半期胎儿脂肪质量和瘦质量的生长指标，并与正常对照孕妇进行比较。方法对43例对照组和171例GDM妊娠孕妇进行超声纵向随访，测量传统生物特征参数和6项非传统指标，评价其瘦脂质量。由对数计数函数导出的混合线性模型用于模拟胎儿生长并进行组间比较。因子分析用于评估妊娠糖尿病与胎儿大小和胎儿脂肪/瘦肉质量比之间的关系。结果214例妊娠共获得506次扫描，平均每例2.4次扫描（范围2 ~ 5）。妊娠期妊娠的产妇年龄、孕前体重和体重指数均显著增高。在相同胎龄下，GDM妊娠的胎儿在每项瘦脂肪非传统参数中均表现出更大的生长，与对照组妊娠相比，与胎龄无关，GDM妊娠的总组织质量和脂肪质量/瘦质量比均显著增加。结论无创、可重复的子宫内胎儿体成分评估是早期发现胎儿生长异常和直接评估胎儿代谢状态的有效方法。ISUOG版权所有。约翰·威利父子有限公司出版。
Objectives This study was carried out to investigate growth indicators of fetal lean mass and fat mass in the second half of the gestational period in pregnancies complicated by gestational diabetes mellitus (GDM) in comparison to normal control pregnancies.Methods Forty-three control and 171 GDM pregnancies were followed longitudinally by ultrasound examinations, measuring both traditional biometric parameters and six non-traditional parameters for the evaluation of lean and fat mass. A mixed linear model derived from the log-Count function was used to model fetal growth and to make comparisons between groups. Factor analysis was used to evaluate the associations between gestational diabetes and fetal size and fetal fat/lean mass ratios.Results A total of 506 scans were obtained in the 214 pregnancies, a mean of 2.4 scans per pregnancy (range 2-5). Maternal age, prepregnancy weight and body mass index were significantly higher in GDM pregnancies. Fetuses of GDM pregnancies showed greater growth, at the same gestational age, for each lean and fat non-traditional parameter, having a significantly greater amount of total tissue mass and a higher fat mass/lean mass ratio, independent of gestational age, in comparison to control pregnancies.Conclusions A non-invasive, repeatable evaluation of fetal body composition in utero could represent a useful method for the early detection of growth abnormalities and for direct estimation of the fetal metabolic status. Copyright (C) 2010 ISUOG. Published by John Wiley & Sons, Ltd.