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Predictive factors for ovarian response in a corifollitropin alfa/GnRH antagonist protocol for controlled ovarian stimulation in IVF/ICSI cycles

机译:在IVF / ICsI周期中控制性卵巢刺激的corifollitropin alfa / GnRH拮抗剂方案中卵巢反应的预测因素

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摘要

Background\udThis secondary analysis aimed to identify predictors of low (<6 oocytes retrieved) and high ovarian response (>18 oocytes retrieved) in IVF patients undergoing controlled ovarian stimulation with corifollitropin alfa in a gonadotropin-releasing hormone (GnRH) antagonist protocol.\ud\udMethods\udStatistical model building for high and low ovarian response was based on the 150 μg corifollitropin alfa treatment group of the Pursue trial in infertile women aged 35–42 years (n = 694).\ud\udResults\udMultivariable logistic regression models were constructed in a stepwise fashion (P <0.05 for entry). 14.1 % of subjects were high ovarian responders and 23.2 % were low ovarian responders. The regression model for high ovarian response included four independent predictors: higher anti-Müllerian hormone (AMH) and antral follicle count (AFC) increased the risk, and higher follicle-stimulating hormone (FSH) levels and advancing age decreased the risk of high ovarian response. The regression model for low ovarian response also included four independent predictors: advancing age increased the risk, and higher AMH, higher AFC and longer menstrual cycle length decreased the risk of low ovarian response.\ud\udConclusions\udAMH, AFC and age predicted both high and low ovarian responses, FSH predicted high ovarian response, and menstrual cycle length predicted low ovarian response in a corifollitropin alfa/GnRH antagonist protocol.
机译:背景\ ud该次要分析旨在确定在接受促性腺激素释放激素(GnRH)拮抗剂方案的情况下,接受Corifollitropin alfa进行受控卵巢刺激的IVF患者中,低(小于6个卵母细胞)和高卵巢反应(大于18个卵母细胞)的预测因子。 ud \ udMethods \ ud用于卵巢高低反应的统计模型的建立是基于Pursue试验中150-μgcorifollitropin alfa治疗组在35-42岁的不育女性中进行的(n = 694)。\ ud \ ud结果\ ud多变量logistic回归模型以逐步的方式构建(进入时P <0.05)。 14.1%的受试者为卵巢高反应者,23.2%为低卵巢反应者。高卵巢反应的回归模型包括四个独立的预测因子:较高的抗苗勒氏激素(AMH)和肛门卵泡计数(AFC)增加患病风险,较高的促卵泡激素(FSH)水平和年龄增长会降低高卵巢癌的风险响应。卵巢低反应的回归模型还包括四个独立的预测因素:年龄增长会增加风险,AMH,AFC越高和月经周期越长,卵巢反应低的风险就越低。\ ud \ ud结论\ udAMH,AFC和年龄均能预测高和低卵巢反应,FSH预测高卵巢反应,月经周期长度预测corifollitropin alfa / GnRH拮抗剂方案的低卵巢反应。

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