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Building a Prediction Model for Vacuum-Assisted Operative Vaginal Delivery Risk

机译:建立真空辅助手术式阴道分娩风险的预测模型

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摘要

Aim: The objective of this study was to evaluate the risk factors for operative vaginal delivery and to propose a new nomogram for predicting the risk. Methods: We retrospectively analyzed the data of 1,955 pregnancies that occurred in our clinic between the years 2007 and 2008. Included were singleton pregnancies with labor diagnosis after the 36th gestational week in which spontaneous or operative vaginal deliveries occurred. In this study, the operative delivery was carried out exclusively by vacuum extraction. Results: After univariate analysis and multivariate logistic regression stepwise model selection, maternal age, nulliparity, medically assisted procreation, gestational age at birth, male fetus, epidural analgesia and medical induction of labor were found to be the most predictive variables for operative vaginal delivery. Considering these factors we propose a new nomogram for an objectified determination of the risk of operative vaginal delivery. Conclusions: The new nomogram we propose could be an important tool for an objectified determination of the risk of operative vaginal delivery by vacuum extraction in individualized patient counseling. (C) 2015 S. Karger AG, Basel
机译:目的:本研究的目的是评估手术阴道分娩的危险因素,并提出新的诺模图以预测危险性。方法:我们回顾性分析了2007年至2008年间在我们诊所中发生的1,955例怀孕数据。包括在妊娠第36周发生自发或手术性分娩的单胎妊娠并进行劳动诊断的病例。在这项研究中,手术分娩仅通过真空抽提进行。结果:经过单因素分析和多元逻辑回归逐步模型选择后,发现母亲的年龄,无效性,医疗辅助的生育,出生时的胎龄,男性胎儿,硬膜外镇痛和药物引产是手术阴道分娩的最预测变量。考虑到这些因素,我们提出了一个新的列线图,用于客观地确定手术阴道分娩的风险。结论:我们提出的新列线图可能是客观地确定在个性化患者咨询中通过真空抽出进行阴道分娩手术风险的重要工具。 (C)2015 S.Karger AG,巴塞尔

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