Predicting the pregnancy outcome: Uncovering the link between β-hCG, patient factors and live birth in IVF.


Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
25 Jul 2024
Historique:
received: 07 03 2024
revised: 04 07 2024
accepted: 22 07 2024
medline: 2 8 2024
pubmed: 2 8 2024
entrez: 1 8 2024
Statut: aheadofprint

Résumé

The objectives of the study were to correlate live birth rate with the initial level of β-hCG in all patients undergoing embryo transfer and develop a predictive model of live birth based on patients' and assisted reproductive technology (ART) characteristics. Single-center retrospective cohort study, including a total of 7587 positive first serum β-hCG from women who performed fresh and frozen embryo transfer. Twenty-one variables related to patient characteristics and treatment modalities were analyzed by step-wise univariate analysis followed by multivariate analysis. The study included women between 18 and 45 years with a positive (>20 IU/L) serum β-hCG between January 2011 and December 2020 while it excluded cycles from donation of gametes, PGT and >3 embryos transferred simultaneously. Among the positive serum β-hCG measurements 5085 (67.0 %) resulted in live births. β-hCG was higher in the live birth group (691 IU/L) compared to the failed pregnancies group (304 IU/L) (p500 IU/mL provided a positive predictive value for live birth of 85.3 % (95 %CI 84.0-86.4). Failed pregnancies were more common among older maternal and paternal age. Previous abortions were more common in the failed pregnancies group (25.0 %) compared to the live birth group (19.4 %). The most common indication to treatment was male infertility, accounting for a larger portion in the live birth group (41.7 %). At multivariate analysis, the factors independently associated with live birth were: first serum β-hCG (OR 1.35, 95 %CI 1.32-1.37), maternal age (OR 0.93, 95 %CI 0.91-0.95), previous abortions (OR 0.77, 95 % CI 0.68-0.88). The number of embryos transferred showed a positive correlation below a maternal age of 39 (<35 years old OR 1.60, CI 95 % 1.32-1.94; <39 years old OR 1.27 CI 95 % 1.09-1.47). The prediction model incorporating these four variables resulted in a sensitivity and specificity with an area under the ROC curve of 0.798. The study confirms the importance of the first value of β-hCG and proposes a predictive model that takes into account maternal age, number of embryos transferred, and obstetric history, thereby aiding in couples' counseling and ultimately improve patients' care.

Identifiants

pubmed: 39088937
pii: S0301-2115(24)00404-4
doi: 10.1016/j.ejogrb.2024.07.049
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

24-30

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Federico Cirillo (F)

Department of Gynaecology, Division of Gynaecology and Reproductive Medicine, Fertility Center, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy. Electronic address: federico.cirillo@humanitas.it.

Matteo Secchi (M)

Department of Gynaecology, Division of Gynaecology and Reproductive Medicine, Fertility Center, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy.

Andrea Busnelli (A)

Department of Gynaecology, Division of Gynaecology and Reproductive Medicine, Fertility Center, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy.

Emanuela Morenghi (E)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy; Biostatistics Unit, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy.

Noemi Di Segni (N)

Department of Gynaecology, Division of Gynaecology and Reproductive Medicine, Fertility Center, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy.

Annamaria Baggiani (A)

Department of Gynaecology, Division of Gynaecology and Reproductive Medicine, Fertility Center, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy.

Paolo Emanuele Levi-Setti (PE)

Department of Gynaecology, Division of Gynaecology and Reproductive Medicine, Fertility Center, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy.

Classifications MeSH