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1.
Reprod Biomed Online ; 28(4): 469-74, 2014 Apr.
Article in English | MEDLINE | ID: mdl-24581984

ABSTRACT

This retrospective study determined the efficacy of ovarian stimulation for IVF/intracytoplasmic sperm injection (ICSI) in poor ovarian responders fulfilling the Bologna criteria for poor ovarian response and identified predictors of live birth rates. Overall, 485 patients undergoing 823 ovarian stimulation cycles for IVF/ICSI with maximum gonadotrophin dose (≥ 300 IU) between January 2009 and December 2011 were included. Patients were considered eligible, irrespective of the treatment protocol, if they were classified as poor responders based on the recently developed definition for poor ovarian response by the European Society of Human Reproduction and Embryology, the Bologna criteria. Live birth rates did not significantly differ between women aged <40 and women aged ≥ 40 years either per cycle (7.1 versus 5.2%, OR 1.38, 95% CI 0.77-2.46) or per patient (11.6 versus 8.8%, OR 1.36, 95% CI 0.75-2.46). In logistic regression analysis, the number of oocytes retrieved was the only variable significantly associated with live births (OR 1.92, 95% CI 1.03-3.55 for >3 versus 1-3 oocytes). Bologna poor responders demonstrate very low live birth rates, irrespective of age and treatment protocol used. An increase in the number of oocytes retrieved is an independent variable related to live birth rates.


Subject(s)
Live Birth , Ovulation Induction/methods , Pregnancy Rate , Adult , Female , Fertilization in Vitro , Humans , Infant, Newborn , Pregnancy , Sperm Injections, Intracytoplasmic
2.
Fertil Steril ; 100(2): 438-44, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23602319

ABSTRACT

OBJECTIVE: To investigate whether the time interval between serum antimüllerian hormone (AMH) sampling and initiation of ovarian stimulation for in vitro fertilization-intracytoplasmic sperm injection (IVF-ICSI) may affect the predictive ability of the marker for low and excessive ovarian response. DESIGN: Retrospective cohort study. SETTING: University-based tertiary center. PATIENT(S): Five hundred and forty women with AMH values measured before their first IVF-ICSI cycle. INTERVENTION(S): Eligible patients treated with 150-225 IU recombinant follicle-stimulating hormone (FSH) in a gonadotropin-releasing hormone (GnRH) antagonist protocol. MAIN OUTCOME MEASURE(S): Predictive ability of AMH for low and excessive ovarian response in relation to the time interval between serum AMH sampling and initiation of ovarian stimulation for IVF-ICSI. RESULT(S): All patients had their AMH concentration measured up to 12 months before initiation of stimulation. The level of AMH demonstrated a statistically significant positive correlation with number of oocytes retrieved. The time interval between AMH measurement and initiation of stimulation had no influence on this correlation. The area under the receiver operator characteristic curve (ROC AUC) of AMH was high for both poor (0.72) and excessive response (0.80). The ROC regression analysis demonstrated that the time interval from sampling did not affect the performance of either poor response or excessive response prediction. CONCLUSION(S): A time interval up to 12 months between AMH serum sampling and initiation of ovarian stimulation does not appear to affect the correlation between AMH level and the number of oocytes retrieved and the predictive ability of AMH to identify women at risk of low or excessive ovarian response.


Subject(s)
Anti-Mullerian Hormone/blood , Fertilization in Vitro , Hormone Antagonists/therapeutic use , Infertility, Female/diagnosis , Infertility, Female/therapy , Ovulation Induction , Sperm Injections, Intracytoplasmic , Adult , Anti-Mullerian Hormone/analysis , Blood Specimen Collection , Cohort Studies , Female , Fertilization in Vitro/methods , Gonadotropin-Releasing Hormone/antagonists & inhibitors , Humans , Infertility, Female/blood , Male , Predictive Value of Tests , Pregnancy , Prognosis , Retrospective Studies , Sperm Injections, Intracytoplasmic/methods , Time Factors
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