The predicted probability of live birth in In Vitro Fertilization varies during important stages throughout the treatment: analysis of 114,882 first cycles - 14/02/21
pages | 7 |
Iconographies | 1 |
Vidéos | 0 |
Autres | 0 |
Abstract |
Research Question |
How much the variability in patients’ response during in vitro fertilization (IVF) may add to the initial predicted prognosis based only on patients’ basal characteristics?
Design |
Anonymous data were obtained from the Human Fertilization and Embryology Authority (HFEA). Data involving 114,882 stimulated fresh IVF cycles were retrospectively analyzed. Logistic regression was used to develop the models.
Results |
Prediction of live birth was feasible with moderate accuracy in all of the three models; discrimination of the model based only on basal patients’ characteristics (AUROC 0.61) was markedly improved adding information of number of embryos (AUROC 0.65) and, mostly, number of oocytes (AUROC 0.66).
Conclusions |
The addition to prediction models of parameters such as the number of embryos obtained and especially the number of oocytes retrieved can statistically significantly improve the overall prediction of live birth probabilities when based on only basal patients’ characteristics. This seems to be particularly true for women after the first IVF cycle. Since ovarian response affects the probability of live birth in IVF, it is highly recommended to add markers of ovarian response to models based on basal characteristics to increase their predictive ability.
Le texte complet de cet article est disponible en PDF.Keywords : prediction model, live birth, IVF, oocytes retrieved, embryos
Plan
Vol 50 - N° 3
Article 101878- mars 2021 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.
Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’achat d’article à l’unité est indisponible à l’heure actuelle.
Déjà abonné à cette revue ?