Das Niloy Kumar, Nandy Shantanu, Mondal Rakesh, Ray Somosri, Hazra Avijit
Department of Anatomy, Medical College Kolkata, Kolkata, India.
Department of Pediatrics, Medical College Kolkata, Kolkata, India.
Oman Med J. 2018 May;33(3):229-234. doi: 10.5001/omj.2018.42.
We sought to evaluate the relationship between gestational age (GA) and neonatal anthropometric parameters, namely head circumference (HC) and crown-heel length (CHL).
We conducted a cross-sectional study in a tertiary care hospital with 530 consecutively live-born newborns of 28-41 weeks gestation. Anthropometric parameters were measured after three days of life. We summarized the variables using descriptive statistics, including percentile values, and the strength of association was determined through correlation analysis. The correlation was strong for HC and CHL, and linear regression analysis was done to develop predictive equations.
HC and CHL correlated well with GA with r-values of 0.863 and 0.859, respectively. The regression equations derived were GA (week) = 9.2671 + [0.8616 × HC (cm)] and GA (weeks) = 7.2489 + [0.621 × CHL (cm)]. Multiple regression gave the relationship as GA (weeks) = 4.0244 + [0.4058 × HC (cm)] + [0.4249 × CHL (cm)]. Application of this multiple regression equation to a test cohort of 30 babies for prediction of GA gave a mean margin of error of 2.9%, indicating that it is a satisfactory tool for prediction.
HC and CHL can be used as simple tools for predicting GA in babies when this is in doubt. This can help in identification of high-risk newborns at primary care level without recourse to imaging modalities.
我们试图评估胎龄（GA）与新生儿人体测量参数之间的关系，即头围（HC）和顶跟长度（CHL）。
我们在一家三级护理医院进行了一项横断面研究，研究对象为530例孕周在28 - 41周的连续活产新生儿。在出生三天后测量人体测量参数。我们使用描述性统计方法总结变量，包括百分位数，并通过相关分析确定关联强度。HC和CHL的相关性很强，并进行了线性回归分析以建立预测方程。
HC和CHL与GA的相关性良好，r值分别为0.863和0.859。得出的回归方程为GA（周）= 9.2671 + [0.8616×HC（厘米）]和GA（周）= 7.2489 + [0.621×CHL（厘米）]。多元回归得出的关系为GA（周）= 4.0244 + [0.4058×HC（厘米）]+ [0.4249×CHL（厘米）]。将这个多元回归方程应用于一个由30名婴儿组成的测试队列以预测GA，平均误差幅度为2.9%，表明它是一个令人满意的预测工具。
当对婴儿的胎龄存在疑问时，HC和CHL可作为预测胎龄的简单工具。这有助于在初级保健层面识别高危新生儿，而无需借助成像手段。
