Tinkanen H, Bläuer M, Laippala P, Tuohimaa P, Kujansuu E
Department of Obstetrics and Gynecology, Tampere University Hospital, Finland.
Fertil Steril. 1999 Nov;72(5):932-6. doi: 10.1016/s0015-0282(99)00397-0.
To determine whether the number of retrieved oocytes and the required amount of gonadotropins per oocyte in IVF treatment can be predicted with use of the following independent predictive variables: age, parity, cause of infertility, body mass index, day 3-5 FSH, E2, inhibin B, ovarian volume, the number of follicles, and intraovarian and uterine artery vascular resistance measured by ultrasonography before ovarian hyperstimulation.
A retrospective analysis.
University hospital infertility clinic.
PATIENT(S): Seventy-four consecutive women attending the university hospital infertility clinic for IVF treatment.
INTERVENTION(S): The investigated factors were measured on day 3-5 of the cycle, in which luteal phase suppression was begun before ovarian hyperstimulation preparatory to IVF.
MAIN OUTCOME MEASURE(S): The amount of gonadotropins required per oocyte and the number of retrieved oocytes were correlated with the predictive factors in stepwise regression analysis.
RESULT(S): The best predictive factors for the number of oocytes retrieved were FSH, inhibin B, and parity, explaining 25% of the ovarian response. Intraovarian vascular resistance, parity, FSH, and inhibin B best predicted the amount of gonadotropins needed, explaining 44% of the variation.
CONCLUSION(S): FSH, inhibin B, and parity were the independent predictive factors for the number of retrieved oocytes. The same factors and intraovarian vascular resistance predicted the required amount of gonadotropins per oocyte. The main part of the ovarian response cannot be predicted using the factors investigated.
确定在体外受精（IVF）治疗中，能否通过以下独立预测变量来预测回收的卵母细胞数量以及每个卵母细胞所需的促性腺激素量：年龄、产次、不孕原因、体重指数、第3 - 5天的促卵泡生成素（FSH）、雌二醇（E2）、抑制素B、卵巢体积、卵泡数量，以及在卵巢过度刺激前通过超声测量的卵巢内和子宫动脉血管阻力。
回顾性分析。
大学医院不孕不育诊所。
连续74名在大学医院不孕不育诊所接受IVF治疗的女性。
在周期的第3 - 5天测量所研究的因素，在该周期中，在为IVF进行卵巢过度刺激准备之前开始黄体期抑制。
在逐步回归分析中，将每个卵母细胞所需的促性腺激素量和回收的卵母细胞数量与预测因素进行相关性分析。
回收的卵母细胞数量的最佳预测因素是FSH、抑制素B和产次，可解释25%的卵巢反应。卵巢内血管阻力、产次、FSH和抑制素B对所需促性腺激素量的预测最佳，可解释44%的变异。
FSH、抑制素B和产次是回收的卵母细胞数量的独立预测因素。相同的因素以及卵巢内血管阻力可预测每个卵母细胞所需的促性腺激素量。使用所研究的因素无法预测卵巢反应的主要部分。
