Researchers in a 2023 study developed a model to predict the chance of live birth after a positive ฮฒ-hCG (beta-hCG), using the first measurement and a second one taken 48 hours later.
This study wanted to develop a calculator for predicting live birth after a pregnancy by IVF. They found that 4 factors were strongly linked to this: the first and second ฮฒ-hCG, female age at time of retrieval and the treatment type.
This study can help patients predict their chance of live birth after a positive ฮฒ-hCG, with high (but not perfect) accuracy.
๐ Original studies are referenced in this post or within the linked Remembryo posts.
๐ก Reminder: Terms underlined with a dotted black line are linked to glossary entries. Clicking these does not count toward your paywall limit.
Study details
This section covers key details of how the study was performed, including the number ofย patients and their characteristics, how they were treated, and other methods used. For those who arenโt interested in these details, and just want to see the results, you can go ahead and skip this part.
- This study took place at two IVF centers in Canada between 2012 and 2016.
- Patients had a single untested embryo transferred and became pregnant. Patients without a positive pregnancy were excluded.
- The first ฮฒ-hCG was taken 13 days after a day 2 embryo transfer, 12 days after a day 3 transfer and 10 days after a day 5 (blastocyst) transfer. The second ฮฒ-hCG was taken 48 hours after the first one.
- An ultrasound evaluated clinical pregnancy 3 weeks after the second ฮฒ-hCG.
In terms of sample size, there were 1,995 pregnant patients included, with 70% being used to train the POPI-Plus model and 30% used to validate it.
In terms of baseline characteristics, the average age was about 33, with most transfers being day 5 blastocysts, followed by day 3, day 2 and day 6 (~46%, ~38%, ~13%, ~1%). Most transfers were fresh, followed by frozen medicated cycles and modified natural cycles.
Development of the POPI-Plus calculator
Using a statistical method, the researchers identified 4 factors that predicted live birth after IVF:
- The patientโs age at egg retrieval.
- The first ฮฒ-hCG.
- The second ฮฒ-hCG.
- The IVF treatment type.
They found that a faster rising ฮฒ-hCG was associated with increased odds of a live birth.
The accuracy of the model was tested on 597 patients:
- POPI predicted correctly: 412 patients had a live birth, and 63 patients didnโt have a live birth.
- POPI predicted incorrectly: 102 patients had a live birth, and 20 patients didnโt have a live birth.
Their model had an AUC of 0.76 during training and 0.78 during validation, with an overall accuracy of 79.56%.
The POPI-Plus calculator and how to use it
Note that this calculator applies only to patients who have transferred a single blastocyst or cleavage stage embryo, either fresh or frozen (medicated FET or a modified natural FET).
To use the calculator, you need to enter your first ฮฒ-hCG from exactly 10 days after a blastocyst transfer or 12 days after a day 3 transfer (= 15 days after the egg retrieval). The second ฮฒ-hCG has to be measured exactly 2 days later.
It will also ask you your age at the time of egg retrieval and the treatment type. The treatment type can be:
- Stimulated IVF (fresh transfer)
- Natural IVF (modified natural)
- Frozen embryo transfer (medicated FET)
It will then give you the chance of a live birth! The calculator can be found here.
Conclusions
The POPI-Plus calculator offers a personalized way to predict the chance of live birth after transfer, and is the first to consider how ฮฒ-hCG rises by including the second ฮฒ-hCG measurement.
The model was built using specific criteria, so this needs to be considered (ie. the first ฮฒ-hCG has to be measured from exactly 10 days after a blastocyst transfer).
The authors point out that the model predicts a reduced chance of live birth when using a modified natural or medicated FET, compared to a fresh transfer. However, a recent RCT found no difference between fresh and frozen cycles (reviewed here), although other studies have contradicted this.
Limitations of this study include that they didnโt include BMI, endometrial thickness, progesterone administration method and ethnicity.
Reference
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About Embryoman
Embryoman (Sean Lauber) is a former embryologist and the founder of Remembryo, an IVF research and fertility education website. After working in an IVF lab in the US, he returned to Canada and now focuses on making fertility research more accessible. He holds a Masterโs in Immunology and launched Remembryo in 2018 to help patients and professionals make sense of IVF research. Sean shares weekly study updates on Facebook, Instagram, and Reddit regularly. He also answers questions on Reddit or in his private Facebook group.
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