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Improved Prediction of In Vitro Fertilization Clinical Outcomes by Combining Ultrasound, Serum Hormones and Body Mass Index
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作者 Xue DAI Jia-yin LIU Jie WU 《Journal of Reproduction and Contraception》 CAS 2014年第3期147-158,共12页
Objective To identify efficient predictors of clinical outcomes of in vitro fertilization (IVF). Methods Two hundred and one women undergoing their first IVF cycle were measured for antral follicle count (AFC) and... Objective To identify efficient predictors of clinical outcomes of in vitro fertilization (IVF). Methods Two hundred and one women undergoing their first IVF cycle were measured for antral follicle count (AFC) and endometrial thickness via ultrasound. On day 2 or 3 of the menstrual cycle and the day of human chorionic gonadotropin administration, serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol, and progesterone were determined. The difference of ovarian response and clinical pregnancy rates were measured. Results Basal FSH was the single best predictor of ovarian response in women 〈35 years old before the initiation of treatment, with an area under the receiver operating characteristic curve (A UC) of 0. 752. For women ≥ 35 years old, none of parameters was a single good predictor of lVF pregnancy. For women older than 35 years, adding body mass index (BMI) with AFC and basal FSH improved prediction of ovarian response (A UC=0. 859). Prediction of clinical pregnancy for women ≥ 35 years was improved either by combining only AFC and basal FSH (AUC=0. 757) or adding BMI to the combined AFC and FSH (AUC=0. 722). Conclusion Combining AFC, basal FSH, and BMI was the best predictor of ovarian response and clinical pregnancy after IVF in women ≥ 35 years. 展开更多
关键词 in vitro fertilization (IVF) combining predictors ovarian response PREGNANCY the logistic model
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