LOS ALTOS, Calif., March 21, 2013 /PRNewswire/ -- Univfy Inc., a pioneer in predictive technology for health care and fertility, today announced the publication of new research findings in Fertility & Sterility, validating the company's Univfy PreIVF prediction tests as 1,000-times (likelihood scale) more powerful in predicting the probability of live birth in the first in vitro fertilization (IVF) treatment compared to estimates based on a woman's age.
The peer-reviewed paper, "Personalized Prediction of First-Cycle In Vitro Fertilization Success," shows that 86 percent of cases analyzed had significantly different probabilities of success compared to age-based estimates, and nearly 60 percent had a higher probability of live birth based on an analysis of the patients' complete reproductive profiles. In fact, using the Univfy PreIVF prediction model, 42 percent of patients were found to have a personalized predicted success rate greater than 45 percent, while the age-control model could not differentiate these patients from others in the population.
Proven Accuracy Based on Personalized Prediction
The study is the first to validate that patient data available prior to starting IVF can be used to predict a patient's chance of success to help her decide whether to pursue a first IVF treatment. The Univfy PreIVF test is an online data test that analyzes each individual's fertility profile (including age, Body Mass Index (BMI), Day 3 FSH, semen analysis, and prior fertility and medical history) and compares it against data from thousands of IVF cycles to instantly deliver personalized prognosis of IVF success. The retrospective validation study analyzed anonymized IVF data aggregated from more than 13,000 first IVF cycles from three university-affiliated outpatient IVF clinics in the U.S., Canada and Spain.Personalized Prediction of IVF Success Helps Patients "Our research findings allow us to use known clinical predictors with much greater predictive power to support patients who are considering IVF for the first time," said Mylene Yao, M.D., CEO and co-founder of Univfy. "Not knowing their personal chances of IVF success may cause many women to be missing out on a treatment that could be highly effective for them." While a higher likelihood of success is welcome news for many couples, the study also suggests predictions based on age alone, or age plus a few factors, could falsely reassure a small percentage of patients. Based on the predicted probability, the Univfy PreIVF test also reports the percentile of a patient's chances of success, which provides a more balanced perspective to the patient and her doctor.