A validated model for predicting live birth after embryo transfer.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
24 05 2021
Historique:
received: 28 06 2020
accepted: 07 05 2021
entrez: 25 5 2021
pubmed: 26 5 2021
medline: 3 11 2021
Statut: epublish

Résumé

Accurately predicting the probability of live birth and multiple gestations is important for determining a safe number of embryos to transfer after in vitro fertilization. We developed a model that can be fit to individual clinic data for predicting singleton, twin, and total live birth rates after human embryo transfer. The predicted and observed rates of singleton and twin deliveries were compared in a tenfold cross-validation study using data from a single clinic. The model presented accounts for patient age, embryo stage (cleavage or blastocyst), type of transfer cycle (fresh or frozen) and uterine/universal factors. The standardized errors for rates of singleton and twin deliveries were normally distributed and the mean errors were not significantly different from zero (all p > 0.05). The live birth rates per embryo varied from as high as 43% for fresh blastocysts in the 35-year-old age group to as low as 1% for frozen cleavage stage embryos in the 43-year-old age group. This quantitative model or a simplified version can be used for clinics to generate and analyze their own data to guide the number of embryos to transfer to limit the risk of multiple gestations.

Identifiants

pubmed: 34031492
doi: 10.1038/s41598-021-90254-y
pii: 10.1038/s41598-021-90254-y
pmc: PMC8144418
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10800

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Auteurs

Michael S Awadalla (MS)

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA. michael.awadalla@med.usc.edu.

Kristin A Bendikson (KA)

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.

Jacqueline R Ho (JR)

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.

Lynda K McGinnis (LK)

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.

Ali Ahmady (A)

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.

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Classifications MeSH