Can Serum Anti-Mullerian Hormone Level and LH / FSH Ratio Be Predictive of Clinical Pregnancy Through Intracytoplasmic Sperm Injection - Embryo Transfer?
DOI:
https://doi.org/10.21613/GORM.2018.897Keywords:
Keywords, Polycystic ovary syndrome, Anti-Müllerian hormone, LH/FSH ratio, Intracytoplasmic sperm injectionAbstract
Objective: To compare clinical pregnancy rate through ICSI-ET between polycystic ovarian syndrome patients and women with normal ovaries (control group). We also investigated whether serum Anti-Müllerian hormone level or LH/FSH ratio may predict clinical pregnancy rate in both groups.
Study Design: In this retrospective study, endocrine/ clinical parameters and cycle characteristics of women with polycystic ovarian syndrome (n=32) and women with normal ovaries (n=115) aged <40 years were evaluated.
Results: Clinical pregnancy rate in polycystic ovarian syndrome group did not differ from that in the control group (31.3% vs. 32.2%, p>0.05, respectively). The LH/FSH ratio was significantly higher in women who conceived compared to women who did not in the polycystic ovarian syndrome group (0.9 vs. 0.6, respectively, p=0.4). The cut-off value of 0.6 in the LH/FSH ratio predicted clinical pregnancy with a specificity of 76% and a sensitivity of 65% in the polycystic ovarian syndrome group. Anti-Müllerian hormone was significantly higher in women who conceived compared to women who did not in the control group (4.0 ng/mL vs. 2.1 ng/mL, respectively, p=0.4).
Conclusion: Polycystic ovarian syndrome patients have a similar clinical pregnancy rate with women having normal ovaries through ICSI-ET. The LH/FSH ratio assessed prior to ovulation induction was significantly higher in pregnant polycystic ovarian syndrome patients compared to polycystic ovarian syndrome patients who did not conceive. Anti-Müllerian hormone level was significantly higher in pregnant women compared to non-pregnant women with normal ovaries.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in GORM are licensed with "Creative Commons Attribution 4.0 License (CC BY 4.0)". This license entitles all parties to copy, share and redistribute all the articles, data sets, figures and supplementary files published in this journal in data mining, search engines, web sites, blogs and other digital platforms under the condition of providing references.