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首页> 外文期刊>Human fertility: journal of the British Fertility Society >Embryo morphology as a predictor of IVF success: An evaluation of the proposed UK ACE grading scheme for cleavage stage embryos
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Embryo morphology as a predictor of IVF success: An evaluation of the proposed UK ACE grading scheme for cleavage stage embryos

机译:胚胎形态可作为IVF成功的预测因素:对提议的英国ACE卵裂期胚胎分级方案的评估

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摘要

This study aims to provide a first evaluation of the morphological embryo grading scheme proposed in the British Fertility Society and Association of Clinical Embryologist joint guidelines for elective single embryo transfer. Pregnancy data were obtained from a cohort of patients treated at St. Mary's Hospital in Manchester, UK, between April 2007 and July 2009. Embryo morphology was assessed on day 2 or 3 prior to transfer in terms of 3 parameters: cell number, fragmentation and evenness. Cell number was parameterised as a growth rate (doublings/day). An embryo-uterus model with adjustment for other prognostic factors was used to determine the role of the three components as predictors of pregnancy. Embryo growth rate (p<0.001) and fragmentation (p=0.004) were strong predictors of pregnancy and after including these, evenness did not improve the prediction significantly (p=0.39). Normally growing embryos have a higher implantation rate than slow and fast-growing embryos. The grading scheme has proved to be feasible and robust in routine clinical practice. Based on this single-centre retrospective series we propose a selection algorithm for day 2/3 embryos based on fragmentation and growth rate. The 3 parameter grading scheme has the potential for further discrimination as larger datasets become available.
机译:这项研究的目的是对英国生育协会和临床胚胎学家协会联合提出的选择性单胚胎移植的形态学胚胎分级方案进行首次评估。从2007年4月至2009年7月间在英国曼彻斯特的圣玛丽医院接受治疗的一组患者中获得了妊娠数据。在移植前的第2天或第3天,根据三个参数评估了细胞的胚胎形态:细胞数量,片段化和均匀性将细胞数参数化为增长率(倍增/天)。调整了其他预后因素的胚胎-子宫模型用于确定这三个成分作为妊娠预测因子的作用。胚胎的生长速度(p <0.001)和破裂(p = 0.004)是妊娠的重要预测指标,包括这些因素后,均匀度并不能显着改善预测(p = 0.39)。正常生长的胚胎比慢速和快速生长的胚胎具有更高的植入率。该分级方案已被证明在常规临床实践中是可行且可靠的。基于此单中心回顾性系列,我们提出了基于碎片和生长速率的第2/3天胚胎的选择算法。随着更大的数据集变得可用,3参数分级方案具有进一步区分的潜力。

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