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Identification of predictors of the ovarian response to clomiphene citrate in infertile women with polycystic ovary syndrome: a prospective cohort study

OBJECTIVE: To identify predictors of the ovarian response to clomiphene citrate (CC) in infertile patients with polycystic ovary syndrome (PCOS). METHODS: We performed a prospective cohort study of infertile patients with PCOS. The participants underwent assessments of their physical, endocrine, and...

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Detalles Bibliográficos
Autores principales: Xia, Hexia, Sun, Xiaoli, Guan, Haiyun, Zhang, Ruixiu, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753794/
https://www.ncbi.nlm.nih.gov/pubmed/33866836
http://dx.doi.org/10.1177/03000605211000569
Descripción
Sumario:OBJECTIVE: To identify predictors of the ovarian response to clomiphene citrate (CC) in infertile patients with polycystic ovary syndrome (PCOS). METHODS: We performed a prospective cohort study of infertile patients with PCOS. The participants underwent assessments of their physical, endocrine, and metabolic characteristics, and treatment with CC at an initial dose of 50 mg/day and a maximum of 100 mg/day between days 3 and 7 of their menstrual cycles. Participants who ovulated were identified as responders and those who did not as non-responders. RESULTS: Of the 72 participants, 48 (66.7%) were identified as responders and 24 as non-responders. Sex hormone-binding globulin (SHBG) (odds ratio 1.022, 95% confidence interval: 1.000–1.045) was found to be associated with the ovarian response to CC using logistic multivariate regression analysis. Receiver operating characteristic analysis also showed that SHBG was a significant predictor of the response to CC (area under the curve 0.799). CONCLUSION: We have shown that SHBG is the best prognostic indicator of an ovulatory response to CC. However, larger prospective studies, in which more variables are assessed, are required to confirm this finding and to identify appropriate cut-off values.