Ying Wang, Shan Dong, Hengfei Li, Yang Yang, An-Liang Guo, Lan Chao
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Finally, receiver operating characteristic curve analysis, calibration curve and decision curve analysis were performed to assess the calibration and discriminative ability of the nomogram.</p><p><strong>Results: </strong>We identified five variables which were related to live birth, including age, anti-Müllerian hormone (AMH), protocol of frozen-thawed embryo transfer (FET), stage of embryos and amount of high-quality embryos. We then constructed nomograms that predict the probabilities of live birth by using those five parameters. Receiver operating characteristic curve analysis (ROC) showed that the area under the curve (AUC) for live birth was 0.666 (95% CI: 0.644-0.688) in the training cohort. The AUC in the subsequent validation cohorts was 0.669 (95% CI, 0.625-0.713). The clinical practicability of this nomogram was demonstrated through calibration curve analysis and decision curve analysis.</p><p><strong>Conclusions: </strong>Our nomogram provides a visual and simple tool in predicting live birth in ovulatory women who received FET. 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引用次数: 0
摘要
背景:研究目的包括开发一种实用的提名图,用于预测排卵妇女冷冻解冻胚胎移植后的活产率:研究目的包括为预测排卵期妇女冷冻-解冻胚胎移植后的活产制定实用的提名图:方法:我们回顾性地纳入了本中心 2884 名月经周期规律的患者。我们按照 8:2 的比例将患者随机分配到训练组和验证组。然后,我们通过多变量逻辑回归确定了风险因素,并绘制了提名图。最后,我们进行了接收者操作特征曲线分析、校准曲线和决策曲线分析,以评估提名图的校准和鉴别能力:我们确定了与活产相关的五个变量,包括年龄、抗穆勒氏管激素(AMH)、冻融胚胎移植(FET)方案、胚胎阶段和优质胚胎数量。然后,我们利用这五个参数构建了预测活产概率的提名图。受试者操作特征曲线分析(ROC)显示,在训练队列中,活产的曲线下面积(AUC)为 0.666(95% CI:0.644-0.688)。在随后的验证队列中,曲线下面积为 0.669(95% CI:0.625-0.713)。通过校准曲线分析和决策曲线分析,证明了该提名图的临床实用性:我们的提名图为预测接受 FET 的排卵期妇女的活产率提供了一个直观、简单的工具。它还能为医生和患者在 FET 过程中的决策提供建议和指导。
Nomogram for predicting live birth in ovulatory women undergoing frozen-thawed embryo transfer.
Background: Study objectives included the development of a practical nomogram for predicting live birth following frozen-thawed embryo transfers in ovulatory women.
Methods: Totally, 2884 patients with regular menstrual cycles in our center were retrospectively enrolled. In an 8:2 ratio, we randomly assigned patients to training and validation cohorts. Then we identified risk factors by multivariate logistic regression and constructed nomogram. Finally, receiver operating characteristic curve analysis, calibration curve and decision curve analysis were performed to assess the calibration and discriminative ability of the nomogram.
Results: We identified five variables which were related to live birth, including age, anti-Müllerian hormone (AMH), protocol of frozen-thawed embryo transfer (FET), stage of embryos and amount of high-quality embryos. We then constructed nomograms that predict the probabilities of live birth by using those five parameters. Receiver operating characteristic curve analysis (ROC) showed that the area under the curve (AUC) for live birth was 0.666 (95% CI: 0.644-0.688) in the training cohort. The AUC in the subsequent validation cohorts was 0.669 (95% CI, 0.625-0.713). The clinical practicability of this nomogram was demonstrated through calibration curve analysis and decision curve analysis.
Conclusions: Our nomogram provides a visual and simple tool in predicting live birth in ovulatory women who received FET. It could also provide advice and guidance for physicians and patients on decision-making during the FET procedure.
期刊介绍:
BMC Pregnancy & Childbirth is an open access, peer-reviewed journal that considers articles on all aspects of pregnancy and childbirth. The journal welcomes submissions on the biomedical aspects of pregnancy, breastfeeding, labor, maternal health, maternity care, trends and sociological aspects of pregnancy and childbirth.