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利用超声、纤维连接蛋白等参数预测引产的成功率。

The use of ultrasound, fibronectin and other parameters to predict the success of labour induction.

机构信息

Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong.

Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong.

出版信息

Best Pract Res Clin Obstet Gynaecol. 2022 Mar;79:27-41. doi: 10.1016/j.bpobgyn.2021.10.002. Epub 2021 Nov 16.

DOI:10.1016/j.bpobgyn.2021.10.002
PMID:34879989
Abstract

Induction of labour is a common obstetrical procedure and is undertaken when the benefits of delivery are considered to outweigh the risks of continuation of pregnancy. However, more than one-fifth of induction cases fail to result in vaginal births and lead to unplanned caesarean deliveries, which compromise the birth experience and have negative clinical and resource implications. The need for accurate prediction of successful labour induction is increasingly recognised and many researchers have attempted to evaluate the potential predictability of different factors including maternal characteristics, Bishop score, various biochemical markers and ultrasound markers and derive predictive models to address this issue.

摘要

引产是一种常见的产科手术,当分娩的益处被认为超过继续妊娠的风险时,就会进行。然而,超过五分之一的引产病例未能导致阴道分娩,导致计划外剖宫产,这会影响分娩体验,并对临床和资源产生负面影响。人们越来越认识到准确预测引产成功的必要性,许多研究人员试图评估不同因素的潜在可预测性,包括产妇特征、Bishop 评分、各种生化标志物和超声标志物,并得出预测模型来解决这个问题。

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1
The use of ultrasound, fibronectin and other parameters to predict the success of labour induction.利用超声、纤维连接蛋白等参数预测引产的成功率。
Best Pract Res Clin Obstet Gynaecol. 2022 Mar;79:27-41. doi: 10.1016/j.bpobgyn.2021.10.002. Epub 2021 Nov 16.
2
Relations between second-trimester aneuploidy screening results and prediction of labour induction success in term pregnancies.中孕期非整倍体筛查结果与足月妊娠引产成功率的预测关系。
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Clinical factors and ultrasound parameters to predict successful vaginal delivery following labour induction.预测引产术后成功阴道分娩的临床因素及超声参数
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Induction of labour: clinical predictive factors for success and failure.引产:成功与失败的临床预测因素
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Prediction of Failure to Progress after Labor Induction: A Multivariable Model Using Pelvic Ultrasound and Clinical Data.引产后宫缩乏力的预测:一种使用盆腔超声和临床数据的多变量模型
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