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Am J Obstet Gynecol ; 199(2): 202.e1-8, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18674663

ABSTRACT

OBJECTIVE: The objective of this study was to evaluate basal anti-Müllerian hormone as a marker for ovarian responsiveness to fertility treatment. STUDY DESIGN: Frozen basal menstrual cycle day 3 serum samples were evaluated retrospectively for anti-Müllerian hormone, inhibin B, and follicle-stimulating hormone levels in 123 in vitro fertilization cycles (93 patients) and compared with in vitro fertilization records. RESULTS: Anti-Müllerian hormone values correlated the best with the number of retrieved oocytes (r = 0.539; P < .001) relative to age (r = -0.323; P < .01), follicle-stimulating hormone (r = -0.317; P < .01), inhibin B (P > .05), luteinizing hormone (P > .05), and estradiol (r = -0.190; P < .05). Receiver operating characteristic curve analysis demonstrated that, for the prediction of <4 oocytes retrieved, anti-Müllerian hormone had the largest area under the curve (AUC = 0.81; P = .0001) relative to age (r = 0.74; P = .005), follicle-stimulating hormone (0.71; P = .02), inhibin B (0.66; P = .03), and estradiol (0.54; P > .05). Similarly, for the prediction of >or=15 retrieved oocytes, anti-Müllerian hormone had the largest area under the curve (0.80; P = .0001) relative to age (0.63; P = .02), follicle-stimulating hormone (0.64; P = .005), inhibin B (r = 0.57; P > .05), and estradiol (0.58; P > .05). CONCLUSION: Anti-Müllerian hormone correlates better than age, follicle-stimulating hormone, luteinizing hormone, inhibin B, and estradiol with the number of retrieved oocytes. Receiver operating characteristic curves estimated that anti-Müllerian hormone accurately predicts ovarian responsiveness to controlled ovarian stimulation with high sensitivity and specificity.


Subject(s)
Anti-Mullerian Hormone/blood , Follicle Stimulating Hormone/blood , Inhibins/blood , Oocyte Retrieval , Ovulation Induction , Adult , Age Factors , Female , Humans , Immunoenzyme Techniques , Luteinizing Hormone/blood , Predictive Value of Tests , ROC Curve , Retrospective Studies
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