Vagios S, James KE, Sacha CR, et al. - In this retrospective cohort study, researchers examined whether polycystic ovary syndrome (PCOS) and other ovulatory dysfunction disorders (OVDYS) can be diagnosed among infertile women using a patient-specific predictive model combining antimüllerian hormone (AMH) levels and body mass index (BMI). Participants were 1,010 infertile women undergoing 3,160 intrauterine insemination (IUI) cycles; these women were stratified by diagnosis in three groups: PCOS, OVDYS, and other etiologies. Postestimation from multivariate logistic regression models suggested lower AMH values as predictive for PCOS diagnosis in women with a higher BMI compared with the AMH values predicting PCOS in normal-weight or underweight patients. These findings were supported by the receiver operating characteristic curves, and following were the best cutoffs for PCOS diagnosis: 7.5, 4.4, and 4.1 ng/mL for women belonging to the BMI groups 18.5–24.9, 25.0–29.9, and ≥ 30.0 kg/m ², respectively. Researchers here developed a model, taking into account AMH and BMI, that allows prediction of the probability of an oligo-anovulation diagnosis, thus facilitating patient-specific counseling in the infertility setting.