中国11市93 720例胎龄24~42周单胎儿出生体重曲线及其地区差异特征

黄小云, 朱元方, 刘惠龙, 吴光吾, 刘传永, 曾定元, 贺骏, 施庆喜, 徐军, 朱斌, 王高雄, 石浩, 卢浩华

中国当代儿科杂志 ›› 2022, Vol. 24 ›› Issue (5) : 482-491.

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中国当代儿科杂志 ›› 2022, Vol. 24 ›› Issue (5) : 482-491. DOI: 10.7499/j.issn.1008-8830.2112032
论著·临床研究

中国11市93 720例胎龄24~42周单胎儿出生体重曲线及其地区差异特征

  • 黄小云1, 朱元方1, 刘惠龙1, 吴光吾2, 刘传永3, 曾定元4, 贺骏5, 施庆喜6, 徐军7, 朱斌8, 王高雄9, 石浩10, 卢浩华11
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Birth weight curves of singleton neonates with a gestational age of 24-42 weeks and their regional differences in 11 cities of China: an analysis of 93 720 cases

  • HUANG Xiao-Yun, ZHU Yuan-Fang, LIU Hui-Long, WU Guang-Wu, LIU Chuan-Yong, ZENG Ding-Yuan, HE Jun, SHI Qing-Xi, XU Jun, ZHU Bin, WANG Gao-Xiong, SHI Hao, LU Hao-Hua
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摘要

目的 研制胎龄24~42周单胎新生儿出生体重曲线,并探讨其地区差异特征。 方法 在中国11市(海口、广州、深圳、柳州、桂林、泉州、重庆、成都、长沙、宁波、连云港)选择年分娩量7 000例以上的11家妇幼保健院,纳入其2017年1月1日至2020年12月31日分娩的全部活产单胎新生儿进行出生体重曲线研制。 结果 纳入了11市合计93 720例胎龄24~42周单胎新生儿进行研究。建立了中国11市合计及各市单胎儿出生体重3rd~97th百分位数参考值,并绘制了出生体重百分位曲线图。深圳市和泉州市单胎儿出生体重曲线水平与中国11市合计单胎儿水平基本相同;海口市、广州市、桂林市、柳州市单胎儿出生体重曲线水平略低于中国11市合计单胎儿水平;重庆市、成都市、长沙市单胎儿出生体重曲线水平略高于中国11市合计单胎儿水平;宁波市和连云港市单胎儿出生体重曲线高于中国11市合计单胎儿水平。中国11市合计单胎儿出生体重曲线与中国协作网2011~2014年单胎儿出生体重曲线非常接近。 结论 制定了中国11市合计及各市单胎新生儿出生体重3rd~97th百分位数参考值,可作为该区域新生儿宫内生长评价的参考标准。部分地区新生儿宫内生长水平与全国水平有差异。 引用格式:中国当代儿科杂志,2022,24(5):482-491

Abstract

Objective To develop the birth weight curve of singleton neonates with a gestational age of 24-42 weeks, and to investigate the regional differences of the birth weight curve. Methods A total of 11 maternal and child health hospitals with more than 7 000 neonates delivered annually were selected in 11 cities of China (Haikou, Guangzhou, Shenzhen, Liuzhou, Guilin, Quanzhou, Chongqing, Chengdu, Changsha, Ningbo, and Lianyungang), and all live singleton neonates delivered in the 11 hospitals from January 1, 2017 to December 31, 2020 were enrolled for the development of birth weight curves. Results A total of 93 720 singleton neonates with a gestational age of 24-42 weeks from the 11 cities were included in the study. The reference values of the 3rd-97th percentiles of birth weight of singleton neonates for the total of the 11 cities and for each of the 11 cities were established, and the birth weight percentile curves were drawn. The birth weight curve level of singleton neonates in Shenzhen and Quanzhou was almost the same as the average level of the 11 cities; the birth weight curve level of singleton neonates in Haikou, Guangzhou, Guilin, and Liuzhou was slightly lower than the average level of the 11 cities; the birth weight curve level of singleton neonates in Chongqing, Chengdu, and Changsha was slightly higher than the average level of the 11 cities; the birth weight curve level of singleton neonates in Ningbo and Lianyungang was higher than the average level of the 11 cities. The average birth weight curve level of singleton neonates in the 11 cities were very close to that of China Neonatal Cooperation Network in 2011-2014. Conclusions The reference values of the 3rd-97th percentiles of birth weight of singleton neonates for the total of the 11 cities and for each of the 11 cities are developed, which can be used as a reference for evaluating the intrauterine growth of singleton neonates in the region. The level of intrauterine growth of neonates in some cities is different from the national level. Citation:Chinese Journal of Contemporary Pediatrics, 2022, 24(5): 482-491

关键词

宫内生长曲线 / 单胎 / 出生体重 / 新生儿

Key words

Intrauterine growth curve / Singleton / Birth weight / Neonate

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黄小云, 朱元方, 刘惠龙, 吴光吾, 刘传永, 曾定元, 贺骏, 施庆喜, 徐军, 朱斌, 王高雄, 石浩, 卢浩华. 中国11市93 720例胎龄24~42周单胎儿出生体重曲线及其地区差异特征[J]. 中国当代儿科杂志. 2022, 24(5): 482-491 https://doi.org/10.7499/j.issn.1008-8830.2112032
HUANG Xiao-Yun, ZHU Yuan-Fang, LIU Hui-Long, WU Guang-Wu, LIU Chuan-Yong, ZENG Ding-Yuan, HE Jun, SHI Qing-Xi, XU Jun, ZHU Bin, WANG Gao-Xiong, SHI Hao, LU Hao-Hua. Birth weight curves of singleton neonates with a gestational age of 24-42 weeks and their regional differences in 11 cities of China: an analysis of 93 720 cases[J]. Chinese Journal of Contemporary Pediatrics. 2022, 24(5): 482-491 https://doi.org/10.7499/j.issn.1008-8830.2112032

参考文献

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基金

深圳市宝安区科技创新局科技项目(2014073);合作单位协议项目(XMXY2020)。

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