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Predictors of patient responses to ovulation induction with clomiphene citrate in patients with polycystic ovary syndrome experiencing infertility
Author(s) -
Ellakwa Hamed E.,
Sanad Zakaria F.,
Hamza Haitham A.,
Emara Mohamed A.,
Elsayed Mohamed A.
Publication year - 2016
Publication title -
international journal of gynecology and obstetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 97
eISSN - 1879-3479
pISSN - 0020-7292
DOI - 10.1016/j.ijgo.2015.09.008
Subject(s) - polycystic ovary , medicine , infertility , anti müllerian hormone , ovulation induction , body mass index , ovulation , endocrinology , gynecology , insulin resistance , pregnancy , insulin , hormone , biology , genetics
Objective To identify predictors of clomiphene citrate‐induced ovulation in patients with polycystic ovary syndrome (PCOS). Methods A prospective observational study of patients 18–40 years of age with PCOS experiencing infertility was conducted at Menoufia University Hospital between January 2011 and January 2013. A range of potential predictors of ovulation were recorded before patients received a 50‐mg dose of clomiphene citrate. Following ovulation or no response to increasing clomiphene‐citrate doses, correlations between predictors and treatment responses were analyzed. Results In total, 150 patients with PCOS experiencing infertility were enrolled. Following treatment, 110 (73.3%) patients ovulated. Highly significant differences were observed between treatment responders and non‐responders in baseline amenorrhea, body mass index (BMI), waist circumference, total testosterone, anti‐Müllerian hormone, fasting insulin, homeostatic model assessment of insulin resistance, and visceral fat area ( P < 0.001). Significant differences in mean ovarian volume ( P < 0.009) and ovarian stromal artery pulsatility index ( P < 0.003) were also observed. Total testosterone was the best individual predictor of clomiphene citrate treatment response. The area under the receiver operating characteristic curve in a multivariate prediction model was 0.98. Conclusions A combination of patient amenorrhea, BMI, total testosterone, anti‐Müllerian hormone, ovarian volume, ovarian stromal artery pulsatility index, and visceral fat area could be used to predict clomiphene‐citrate treatment response in patients with PCOS experiencing infertility. ClinicalTrials.gov: NCT02269306