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Deep Phenotyping Can Predict IVF Outcomes WASHINGTON, DC -- July 19, 2010 -- About 75% of in vitro fertilization (IVF) treatments fail, and little guidance exists about the chance of success other than considering a couple's age and looking at the statistics from the corresponding demographic. Prajna Banerjee, MD, Translational Research in Infertility, Yao Lab, Stanford School of Medicine, Stanford, California, and colleagues analysed failed IVF attempts to provide a more accurate and personalised estimate of future IVF success compared with the age-based estimates. The research is published in the Proceedings of the National Academy of Sciences. For the study, Dr. Banerjee and colleagues sorted the patients into groups based on common clinical characteristics, including data preceding and from the first failed IVF treatment. The authors analysed the outcomes of over 1,600 first-time IVF treatments and used these to predict whether a second IVF treatment would result in a live birth. The method proved more than 1,000 times more accurate than the age-based approach. Given the steep cost of IVF and the uncertain outcomes, this new predictive procedure may transform the first IVF treatment into a prognostic test. Overall, that may boost confidence to pursue the first IVF treatment and support patients in their decisions to pursue a second IVF treatment or to consider alternative treatments, such as egg or embryo donation the authors said. SOURCE: Proceedings of the National Academy of Sciences E-mail this page to a friend or colleague! To print, use this version