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卵巢反应中的激素和功能生物标志物。

Hormonal and functional biomarkers in ovarian response.

作者信息

Vural Birol, Cakiroglu Yigit, Vural Fisun, Filiz Serdar

机构信息

Assisted Reproductive Tecniques Unit, Department of Obstetrics and Gynecology, School of Medicine, Kocaeli University Medical Faculty, Umuttepe/Uctepeler, 41000, Kocaeli, Turkey,

出版信息

Arch Gynecol Obstet. 2014 Jun;289(6):1355-61. doi: 10.1007/s00404-013-3132-1. Epub 2013 Dec 24.

Abstract

PURPOSE

Success rates of any artificial reproduction techniques depend on a correct protocol for ovarian stimulation. This can be decided only by proper assessment of ovarian reserve before commencing ovarian stimulation. This study has been conducted to investigate the role of hormonal and functional biomarkers in the prediction of ovarian response.

METHODS

A total of 689 women between July 2012 and July 2013 undergoing IVF at Kocaeli University have been enrolled in the study. Patients have been categorized into three groups according to the number of oocytes retrieved: 0-3 oocytes (poor responders), 4-15 oocytes (normoresponders), and >16 oocytes (hyperresponders). Groups have been compared according to follicle-stimulating hormone (FSH), E2, luteinizing hormone (LH) levels, antral follicle counts, and E2 levels on hCG days. Furthermore, regression analysis has been performed with parameters such as age, FSH, LH, E2, anti-mullerian hormone (AMH) and antral follicle counts (AFC) that can affect the total number of oocytes retrieved and pregnancy rates and their interactions with each other have been investigated.

RESULTS

FSH, age, hCG day LH level, cycle cancellation rate, total gonadotropin dose were significantly higher in the poor responder group, but in this group, AFC, AMH, hCG day E2 level, and the number of MII oocytes were significantly lower. Cut-off values of normal responders for FSH, AMH, and AFC were 8.43 area under curve [AUC: 0.541 (0.491-0.590)], 0.62 [AUC: 0.704 (0.638-0.764)], and 6 [AUC: 0.715 (0.667-0.760)], respectively. Cut-off values for the absolute poor response group (cycle cancellation) were 12.75 for FSH [AUC: 0.533 (0.49-0.57)], 0.23 for AMH [AUC: 0.678 (0.618-0.733)], and 6 for AFC [AUC: 0.576 (0.531-0.613)]. AMH and AFC were the best markers for the prediction of total oocyte count, independent of age, FSH, and LH levels.

CONCLUSIONS

AMH and AFC were found to be the best ovarian reserve tests that can determine the total oocyte count retrieved, without any significant effects on pregnancy rates.

摘要

目的

任何人工生殖技术的成功率都取决于正确的卵巢刺激方案。这只能通过在开始卵巢刺激前对卵巢储备进行适当评估来决定。本研究旨在探讨激素和功能生物标志物在预测卵巢反应中的作用。

方法

2012年7月至2013年7月期间在科贾埃利大学接受体外受精的689名女性纳入本研究。根据回收的卵母细胞数量将患者分为三组:0 - 3个卵母细胞(反应不良者)、4 - 15个卵母细胞(反应正常者)和>16个卵母细胞(反应过度者)。根据促卵泡激素(FSH)、雌二醇(E2)、促黄体生成素(LH)水平、窦卵泡计数以及hCG日的E2水平对各组进行比较。此外,对年龄、FSH、LH、E2、抗苗勒管激素(AMH)和窦卵泡计数(AFC)等可能影响回收的卵母细胞总数和妊娠率的参数进行回归分析,并研究它们之间的相互作用。

结果

反应不良组的FSH、年龄、hCG日LH水平、周期取消率、总促性腺激素剂量显著更高,但该组的AFC、AMH、hCG日E2水平和MII期卵母细胞数量显著更低。反应正常者的FSH、AMH和AFC的截断值分别为8.43曲线下面积[AUC:0.541(0.491 - 0.590)]、0.62[AUC:0.704(0.638 - 0.764)]和6[AUC:0.715(0.667 - 0.760)]。绝对反应不良组(周期取消)的FSH截断值为12.75[AUC:0.533(0.49 - 0.57)],AMH为0.23[AUC:0.678(0.618 - 0.733)],AFC为6[AUC:0.576(0.531 - 0.613)]。AMH和AFC是预测卵母细胞总数的最佳标志物,不受年龄、FSH和LH水平的影响。

结论

发现AMH和AFC是最佳的卵巢储备检测指标,可确定回收的卵母细胞总数,且对妊娠率无显著影响。

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