One of the biggest questions in IVF is how many chromosomally normal (euploid) embryos a cycle will produce.

Doctors usually predict success using age or ovarian reserve (AMH or AFC). But these don’t always tell the full story, since two people with the same age and AMH can have different chances of making euploids.

A new study by Emre Seli and colleagues tested whether a more advanced approach could do better. They built a model, called FORTUNE, to combine multiple factors and predict how many euploid embryos a patient might get.

This model uses age, AMH, AFC, partner age, and BMI. It sorts patients into five prognosis groups, from very poor to very good.

The model worked well, with an AUC of about 0.85. That means it could correctly separate patients with higher versus lower chances of producing euploid embryos about 85% of the time.

Although the model was built on PGT-A data, patients not using PGT-A can still use it to help predict their chances. It predicts the number of healthy embryos a cycle might produce whether or not testing is done.

The tool may help patients plan how many cycles to consider and set expectations. But since it was tested in only one clinic, more research is needed before it can be widely used.



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𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐜𝐨𝐦𝐟𝐨𝐫𝐭𝐚𝐛𝐥𝐞 𝐰𝐢𝐭𝐡 𝐬𝐡𝐚𝐫𝐢𝐧𝐠: 𝐅𝐨𝐫 𝐨𝐧𝐞 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐈𝐕𝐅 𝐜𝐲𝐜𝐥𝐞𝐬, 𝐰𝐡𝐚𝐭 𝐰𝐞𝐫𝐞 𝐲𝐨𝐮𝐫 𝐀𝐌𝐇, 𝐀𝐅𝐂, 𝐚𝐧𝐝 𝐚𝐠𝐞 -- 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐦𝐚𝐧𝐲 𝐞𝐮𝐩𝐥𝐨𝐢𝐝 𝐞𝐦𝐛𝐫𝐲𝐨𝐬 𝐝𝐢𝐝 𝐲𝐨𝐮 𝐞𝐧𝐝 𝐮𝐩 𝐰𝐢𝐭𝐡?

Researchers develop “FORTUNE” model to predict number of euploids from IVF