Roseboom T J, Vermeiden J P, Schoute E, Lens J W, Schats R
IVF Centre, Department of Reproductive Endocrinology, Free University Hospital Amsterdam, The Netherlands.
Hum Reprod. 1995 Nov;10(11):3035-41. doi: 10.1093/oxfordjournals.humrep.a135842.
Because the process of conception is affected by many variables, a multiple logistic regression analysis was performed to assess (i) the impact and relative weight of both patient and embryo variables and (ii) their possible effects on the probability of a vital pregnancy after embryo transfer. A statistical model was constructed predicting the probability of pregnancy after embryo transfer. The variables that contributed significantly to the predictive value of the model were the age of the patient, the cause of infertility, the number of embryos transferred and the average morphology score of the transferred embryos. Embryo variables appeared to have a significant but modest value in predicting the probability of pregnancy after embryo transfer. Other variables, such as the thickness of the endometrium, were found to have no prognostic value. Moreover, we found that their effect could be explained by the variables already included in the model.
由于受孕过程受多种变量影响，因此进行了多元逻辑回归分析，以评估：（i）患者和胚胎变量的影响及相对权重；（ii）它们对胚胎移植后妊娠成功概率的可能影响。构建了一个预测胚胎移植后妊娠概率的统计模型。对模型预测价值有显著贡献的变量包括患者年龄、不孕原因、移植胚胎数量以及移植胚胎的平均形态学评分。胚胎变量在预测胚胎移植后妊娠概率方面似乎具有显著但适度的价值。其他变量，如子宫内膜厚度，被发现没有预后价值。此外，我们发现它们的影响可以由模型中已包含的变量来解释。
