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条件胎儿生长百分位数的预测能力。

The predictive ability of conditional fetal growth percentiles.

机构信息

Department of Epidemiology & Biostatistics, McGill University, Montreal, Quebec, Canada.

出版信息

Paediatr Perinat Epidemiol. 2010 Mar;24(2):131-9. doi: 10.1111/j.1365-3016.2010.01101.x.

Abstract

Conditional fetal growth percentiles are percentiles that are calculated taking into account (conditional on) an infant's weight earlier in pregnancy. Although they have been proposed in the statistical literature as a more methodologically appropriate method of measuring fetal growth, their ability to predict adverse perinatal outcomes due to fetal growth restriction is unknown. Using a large, unselected clinical ultrasound database at the Royal Victoria Hospital in Montreal, Canada, we calculated conditional growth percentiles for infants' weight at birth, given their weight at the time of a routine 32- or 33-week ultrasound. The risk of adverse perinatal outcome (perinatal mortality, low Apgar, acidaemia, or seizures/organ failure due to asphyxia) among small-for-gestational-age infants (SGA) as established by conditional growth percentiles was calculated as well as the risk among infants classified as SGA by conventional weight-for-gestational-age percentiles. Regardless of the threshold used to define SGA (fifth, 10th, 15th, 20th), conditional percentiles did not appear to improve the identification of adverse perinatal outcomes compared with conventional weight-for-gestational-age charts. Further work is needed to confirm our results as well as to explore potential reasons for the lack of benefits from using a measure of growth instead of size to identify fetal growth restriction.

摘要

条件胎儿生长百分位数是在考虑(条件)婴儿在妊娠早期体重的情况下计算出来的百分位数。尽管它们在统计学文献中被提出作为一种更具方法学适当性的测量胎儿生长的方法,但它们预测因胎儿生长受限而导致的不良围产结局的能力尚不清楚。我们使用加拿大蒙特利尔皇家维多利亚医院的一个大型、未经选择的临床超声数据库,根据常规 32 或 33 周超声时的体重,计算了出生时婴儿体重的条件生长百分位数。还计算了通过条件生长百分位数确定的小于胎龄儿(SGA)的不良围产结局(围产儿死亡率、低 Apgar、酸中毒或窒息引起的癫痫发作/器官衰竭)风险,以及通过传统体重与胎龄百分位数分类为 SGA 的婴儿的风险。无论用于定义 SGA 的阈值如何(第 5、10、15、20 个百分位),与传统的体重与胎龄图表相比,条件百分位数似乎并没有改善不良围产结局的识别。需要进一步的工作来证实我们的结果,并探讨使用生长指标而不是大小来识别胎儿生长受限的缺乏益处的潜在原因。

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