David R J
South Med J. 1983 Nov;76(11):1401-6. doi: 10.1097/00007611-198311000-00020.
Screening of newborns with growth curves derived from populations dissimilar to their own can lead to sizable errors. I present a technique for constructing percentile curves for birth weight at different gestational ages, using North Carolina's computerized birth certificate file. This method eliminates from the analysis most erroneous data on gestational age. The resulting intrauterine growth curves show weights at term for North Carolina newborns. These curves differ from previously reported norms in that weights are higher than those reported for two low-income hospital subpopulations, and lower than birth weights in populations with better living standards and prenatal care. Plotting North Carolina births on the Colorado intrauterine growth curve resulted in considerable overdiagnosis of "large for gestational age," while most infants who were small for gestational age failed to be identified.
使用与新生儿自身群体不同的人群得出的生长曲线对新生儿进行筛查可能会导致相当大的误差。我介绍一种利用北卡罗来纳州的计算机化出生证明文件构建不同孕周出生体重百分位数曲线的技术。该方法在分析中剔除了大部分关于孕周的错误数据。所得的宫内生长曲线显示了北卡罗来纳州新生儿的足月体重。这些曲线与先前报告的标准不同,因为其体重高于两个低收入医院亚群体报告的体重,且低于生活水平和产前护理较好人群的出生体重。将北卡罗来纳州的出生情况绘制在科罗拉多州的宫内生长曲线上,导致对“大于胎龄儿”的过度诊断,而大多数小于胎龄儿未能被识别出来。