Keywords► in vitro fertilization ► ultrasound ► ovarian function tests ► ovarian reserve AbstractPurpose To identify which methods used in the assessment of the ovarian reserve are exclusive or complementary to identify the best response to follicle development. Methods Retrospective cohort study, involving patients undergoing assisted reproduction treatment at the Instituto de Medicina Reprodutiva e Fetal, from April 2009 to July 2014. Age, biochemical tests, and ultrasound were assessed. The data were analyzed to predict the follicular development and the relation between them, using, for statistical analysis, Statistical Package for Social Sciences software. Results Out of the 293 couples included, 50.2% presented infertility by ovarian factor. Considering the age as the main variable, a significant negative correlation with the volume of both ovaries was observed (right ovary, r ¼ 0.21; left ovary, r ¼ À0.22; both p < 0.0001), and with the antral follicle count (right ovary, r ¼ À0.38; left ovary, r ¼ À0.47; both p < 0.0001). Considering the antral follicle count as the main variable, a significant positive correlation with the total recruited oocytes was observed. When we correlated the antral follicle count with the recruited follicles larger than 18 mm, we observed that, with a cutoff of 12 antral follicles, there is a positive predictive value of 99%, and an area under the ROC curve of 0.76. Conclusion We concluded from our study that age and antral follicle count are effective predictors of ovarian response in cycles of assisted reproduction. The ovarian volume, as well as the anti-Müllerian hormone dosage, seem to be adequate markers of the ovarian reserve. ResumoObjetivo Identificar quais métodos utilizados na avaliação da reserva ovariana são excludentes ou complementares na identificação da melhor resposta ao desenvolvimento folicular. Métodos Estudo retrospectivo de coorte, que envolveu pacientes em tratamento de reprodução assistida no Instituto de Medicina Reprodutiva de abril de 2009 a julho de
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.