Authors: Marni B Jacobs Hillary KlonoffCohen Sanjay Agarwal Donna KritzSilverstein Suzanne Lindsay V Gabriel Garzo
Publish Date: 2016/05/06
Volume: 33, Issue: 8, Pages: 1001-1007
Abstract
Using deidentified clinic records 414 women 35 years undergoing their first autologous IVF cycle were identified Logistic regression was used to identify patientdriven clinical factors routinely collected during fertility treatment that could be used to model predicted probability of cycle failureOne hundred ninetyseven patients with both primary and secondary infertility had a failed IVF cycle and 217 with secondary infertility had a successful live birth None of the women with primary infertility had a successful live birth The significant predictors for IVF cycle failure among young patients were fewer previous live births history of biochemical pregnancies or spontaneous abortions lower baseline antral follicle count higher total gonadotropin dose unknown infertility diagnosis and lack of at least one fair to good quality embryo The full model showed good predictive value c = 0885 for estimating risk of cycle failure at ≥80 predicted probability of failure sensitivity = 554 specificity = 975 positive predictive value = 954 and negative predictive value = 698 All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards For this type of study formal consent is not required
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