Suppr超能文献

利用计算机化围产期数据库对1975年至1992年按孕周分析出生体重

An analysis of birth weight by gestational age using a computerized perinatal data base, 1975-1992.

作者信息

Amini S B, Catalano P M, Hirsch V, Mann L I

机构信息

Department of Epidemiology and Biostatistics, School of Medicine, MetroHealth Medical Center, Cleveland, Ohio.

出版信息

Obstet Gynecol. 1994 Mar;83(3):342-52.

PMID:8127523
Abstract

OBJECTIVE

To develop birth weight-for-gestational age nomograms based on a computerized perinatal data base collected prospectively from 1975-1992.

METHODS

Using information from over 60,000 singleton deliveries (January 1975 through October 1992) at the MetroHealth Medical Center in Cleveland, Ohio, standard curves for normal birth weights were computed. Nomograms were developed for the overall population and for subgroups determined by factors known to affect fetal growth, including sex, race, smoking status, and gestational diabetes. The nomograms included the tenth, 50th, and 90th percentiles of birth weights for 24-44 weeks' gestation. Gestational age was based on clinical obstetric estimates confirmed by Dubowitz assessment of the neonate. In addition, third-order regression models were developed to predict median birth weight using gestational age. These models were validated using delivery data for the months of November and December, 1992, which were not included in model development.

RESULTS

The most significant predictors of median birth weight were the first-, second-, and third-order gestational ages, which explained over 80% of the total variation in birth weight. Other significant factors influencing birth weight included infant gender, maternal race, parity, smoking, and diabetes status. Among the marginally significant factors influencing birth weight were pay status and maternal age. In general, before 33 weeks' gestation, there were few differences in the birth weight percentiles of various groups except for those with diabetes; infants of diabetic women exhibited greater birth weights as early as 26 weeks' gestation.

CONCLUSIONS

Considering the large size of the data base and the diverse background of the study population, we believe that these nomograms provide useful norms of birth weight for an indigent urban population. These norms enhance the obstetrician's and neonatologist's ability to identify true cases of retardation or acceleration of intrauterine growth. Simple mathematical models provide easy calculation of the median birth weights for 24-44 weeks while adjusting for many confounding factors.

摘要

目的

基于1975年至1992年前瞻性收集的计算机化围产期数据库,制定孕周别出生体重列线图。

方法

利用俄亥俄州克利夫兰市地铁健康医疗中心60000多例单胎分娩(1975年1月至1992年10月)的信息,计算正常出生体重的标准曲线。为总体人群以及由已知影响胎儿生长的因素(包括性别、种族、吸烟状况和妊娠期糖尿病)所确定的亚组制定列线图。这些列线图包括孕24至44周出生体重的第10、第50和第90百分位数。孕周基于临床产科估计,并经新生儿杜波维茨评估确认。此外,还开发了三阶回归模型,以利用孕周预测出生体重中位数。这些模型使用1992年11月和12月的分娩数据进行验证,这些数据未纳入模型开发过程。

结果

出生体重中位数的最重要预测因素是一阶、二阶和三阶孕周,它们解释了出生体重总变异的80%以上。其他影响出生体重的重要因素包括婴儿性别、母亲种族、产次、吸烟和糖尿病状况。影响出生体重的边缘显著因素包括支付状况和母亲年龄。一般来说,在孕33周之前,除糖尿病患者外,各群体的出生体重百分位数差异不大;糖尿病女性的婴儿早在孕26周时出生体重就更高。

结论

考虑到数据库规模庞大以及研究人群背景多样,我们认为这些列线图为贫困城市人群提供了有用的出生体重标准。这些标准提高了产科医生和新生儿科医生识别宫内生长迟缓或加速真实病例的能力。简单数学模型可在调整许多混杂因素的同时,轻松计算孕24至44周的出生体重中位数。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验