辅助生殖技术新生儿低出生体质量的影响因素回归方程构建研究

冯春梅 ,  贺铮 ,  任树华 ,  赵燕 ,  张雪梅 ,  杨阳

中国妇幼健康研究 ›› 2025, Vol. 36 ›› Issue (11) : 80 -86.

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中国妇幼健康研究 ›› 2025, Vol. 36 ›› Issue (11) : 80 -86. DOI: 10.3969/j.issn.1673-5293.2025.11.012
临床研究

辅助生殖技术新生儿低出生体质量的影响因素回归方程构建研究

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Study on the construction of regression equation of influencing factors of low birth weight of neonates with assisted reproductive technology

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摘要

目的 研究辅助生殖技术(ART)新生儿低出生体质量的影响因素,并构建其回归方程,分析回归方程对ART新生儿低出生体质量的预测价值。方法 回顾性收集2021年1月-2023年12月四川锦欣西囡妇女儿童医院收治的297例ART孕妇临床资料作为研究对象,根据其新生儿出生体质量将其分为低体质量组(74例)和体质量正常组(223例),采用单因素和多因素分析ART新生儿低出生体质量的影响因素,并构建相关的回归方程,分析其对ART新生儿低出生体质量的预测价值。结果 有人工流产史(OR=1.820,95%CI:1.194~2.774)、合并多囊卵巢综合征(OR=1.925,95%CI:1.065~3.480)、合并妊娠期缺铁性贫血(OR=1.629,95%CI:1.077~2.463)、妊娠高血压疾病(OR=1.677,95%CI:1.042~2.700)、妊娠期肝内胆汁淤积症(OR=1.887,95%CI:1.140~3.123)、胎盘早剥/胎膜早破(OR=1.820,95%CI:1.113~2.977)、分娩孕周<37周(OR=1.611,95%CI:1.276~2.034)均为ART孕妇新生儿低出生体质量的危险因素(P<0.05).回归方程:logit(P)=-9.771+人工流产史×0.599+合并多囊卵巢综合征×0.655+合并妊娠期缺铁性贫血×0.488+合并妊娠高血压疾病×0.517+合并妊娠期肝内胆汁淤积症×0.635+胎盘早剥/胎膜早破×0.599+分娩孕周×0.477.对ART孕妇新生儿低出生体质量的Logistic回归方程进行评价,似然比χ2=134.732,DF=8,P<0.001;Wald χ2=129.42,DF=7,P<0.001.受试者工作特征(ROC)曲线分析显示,当logit(P)>13.10时,曲线下面积(AUC)值、灵敏度、特异度分别为0.886、79.73%、84.75%。结论 ART孕妇新生儿低出生体质量的危险因素包括有人工流产史、合并多囊卵巢综合征、合并妊娠期缺铁性贫血、妊娠高血压疾病、妊娠期肝内胆汁淤积症、胎盘早剥/胎膜早破、分娩孕周<37周,据此构建的回归方程对ART孕妇新生儿低出生体质量具有较好的预测价值.

Abstract

Objective To study the influencing factors of low birth weight of neonates with assisted reproductive technology (ART), and to construct its regression equation, and to analyze the predictive value of regression equation for low birth weight of ART neonates. Methods The clinical data of 297 pregnant women with ART admitted to Sichuan Jinxin Xinnan Women and Children Hospital from January 2021 to December 2023 were retrospectively collected as the research objects. According to the birth weight of their newborns, they were divided into the low birth weight group (74 cases) and the normal birth weight group (223 cases). Univariate and multivariate analysis were used to analyze the influencing factors of low birth weight in ART neonates, and the regression equation was constructed to analyze its predictive value for low birth weight in ART neonates. Results History of induced abortion (OR=1.820, 95%CI: 1.194-2.774), concomitant polycystic ovary syndrome (OR=1.925, 95%CI: 1.065-3.480), concomitant iron deficiency anemia during pregnancy (OR=1.629, 95%CI: 1.077-2.463), gestational hypertension (OR=1.677, 95%CI: 1.042-2.700), intrahepatic cholestasis of pregnancy (OR=1.887, 95%CI: 1.140-3.123), placental abruption/premature rupture of membranes (OR=1.820, 95%CI: 1.113-2.977), gestational age <37 weeks (OR=1.611, 95%CI: 1.276-2.034) were all risk factors for low birth weight in ART pregnant women and newborns (P<0.05). Regression equation: logit(P)=-9.771+history of induced abortion×0.599+combined with polycystic ovary syndrome×0.655+combined with iron deficiency anemia during pregnancy×0.488+combined with gestational hypertension×0.517+combined with intrahepatic cholestasis of pregnancy×0.635+placental abruption/premature rupture of membranes×0.599+gestational age of delivery×0.477. The logistic regression equation of low birth weight of ART pregnant women was evaluated, and the likelihood ratio χ2=134.732, DF=8, P<0.001; Wald χ2=129.42, DF=7, P<0.001. Receiver operating characteristic curve (ROC) analysis showed that when logit(P)>13.10, the area under the curve (AUC), sensitivity, and specificity were 0.886, 79.73%, and 84.75%, respectively. Conclusion The risk factors for low birth weight of neonates in ART pregnant women included history of induced abortion, combined with polycystic ovary syndrome, combined with iron deficiency anemia during pregnancy, gestational hypertension, intrahepatic cholestasis of pregnancy, placental abruption/premature rupture of membranes, and gestational age <37 weeks. The regression equation constructed based on this has a good predictive value for low birth weight of neonates in ART pregnant women.

关键词

辅助生殖技术 / 新生儿 / 低出生体质量 / 影响因素 / 回归方程 / 预测价值

Key words

assisted reproductive technology / neonate / low birth weight / influencing factor / regression equation / predictive value

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冯春梅,贺铮,任树华,赵燕,张雪梅,杨阳. 辅助生殖技术新生儿低出生体质量的影响因素回归方程构建研究[J]. 中国妇幼健康研究, 2025, 36(11): 80-86 DOI:10.3969/j.issn.1673-5293.2025.11.012

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参考文献

[1]

李欣, 谢奇君, 张媔秋, 等. 辅助生殖技术后的母婴结局:基于倾向性评分匹配研究[J]. 中国妇幼健康研究, 2023, 34(2): 28-33.

[2]

Boeri L, Belladelli F, Pozzi E, et al. Low birth weight is associated with sperm DNA fragmentation and assisted reproductive technology outcomes in primary infertile men: results of a cross-sectional study[J]. World J Mens Health, 2024, 42(2): 384-393.

[3]

金春炎, 刘丽英, 郭毅, 等. 辅助生殖多胎减胎后单胎妊娠与直接单胎妊娠结局比较[J]. 实用医学杂志, 2023, 39(5): 625-630.

[4]

袁丽, 陈宇. 子宫内膜异位合并不孕症患者CYP19A1 rs2899470多态性及辅助生殖结局[J]. 中国计划生育学杂志, 2022, 30(1): 122-125.

[5]

沈晓明, 王卫平. 儿科学(第9版)[M]. 北京: 人民卫生出版社, 2018: 50-51.

[6]

中华医学会. 临床诊疗指南:辅助生殖技术与精子库分册[M]. 人民卫生出版社, 2009: 24-26.

[7]

Li M, Singh B, Baker V L. Association between embryo morphological quality and birth weight for singletons conceived via autologous fresh embryo transfer: an analysis using society for assisted reproductive technology clinical outcomes reporting system[J]. Fertil Steril, 2022, 118(4): 715-723.

[8]

Guo Y, Sun Y, Yang H, et al. Comparison of the rates of preterm birth and low birth weight of vanishing twin and primary pregnancies conceived with assisted reproductive technology[J]. J Perinat Med, 2020, 49(1): 50-53.

[9]

Shen C, Hou R, Zhang X, et al. The associations of cola intake with adverse birth outcomes among pregnant women after assisted reproductive technology treatment and women naturally conceived: a birth cohort study[J]. Hum Fertil (Camb), 2023, 26(6): 1503-1510.

[10]

Goisis A, Cederstrom A, Martikainen P. Birth outcomes following assisted reproductive technology conception among same-sex lesbian couples vs natural conception and assisted reproductive technology conception among heterosexual couples[J]. JAMA, 2023, 329(13): 1117-1119.

[11]

Al S M, Shaw A, Bacal V, et al. Risk of lower birth weight and shorter gestation in oocyte donation pregnancies compared with other assisted reproductive technology methods: systematic review[J]. J Obstet Gynaecol Can, 2020, 42(7): 889-899.

[12]

陶俊, 顾金萍, 范建霞. 多囊卵巢综合征患者不良妊娠结局的探讨[J]. 中国妇幼健康研究, 2011, 22(6): 823-825.

[13]

张竑卉. 妊娠期缺铁性贫血干预时机与妊娠结局的关系[J]. 齐齐哈尔医学院学报, 2014, 35(3): 358-359.

[14]

倪丽君. 妊娠期高血压疾病对妊娠结局的影响以及相关危险因素分析[J]. 中国妇幼健康研究, 2021, 32(1): 65-69.

[15]

姚爱林, 曲冬颖. 辅助生殖助孕与自然受孕双胎妊娠围生期母婴结局等对比观察[J]. 人民军医, 2021, 64(9): 893-895.

[16]

宋霁, 王雅琦, 沈豪飞, 等. 辅助生殖技术助孕后双胎生长不一致及其相关因素分析[J]. 生殖医学杂志, 2022, 31(9): 1232-1236.

[17]

朱建国. 单胎新生儿出生体质量影响因素分析[J]. 中国病案, 2022, 23(7): 109-112.

[18]

周淼, 张彤, 黄爱群, 潘晓平. 规范产前检查与早产儿的关系[J]. 中国妇幼健康研究, 2015, 26(3): 422-425.

[19]

魏红娟, 夏煜. 孕前体质量指数和妊娠期体质量增长对新生儿出生体质量及不良结局的研究[J]. 中国优生与遗传杂志, 2023, 31(10): 2098-2108.

[20]

丰暖, 史志平, 刘晓宁, 等. 妊娠早期营养指标与新生儿出生体质量的相关性研究[J]. 肠外与肠内营养, 2023, 30(3): 144-147.

基金资助

成都市卫健委医学科研课题计划项目(2021463)

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