Success Rates with Preimplantation Genetic Testing for Aneuploidy (PGT-A) in Good Prognosis Patients is Dependent on Age.

cumulative live birth in vitro fertilization (IVF) preimplantation genetic testing for aneuploidy (PGT-A)

Journal

Fertility and sterility
ISSN: 1556-5653
Titre abrégé: Fertil Steril
Pays: United States
ID NLM: 0372772

Informations de publication

Date de publication:
28 Sep 2024
Historique:
received: 28 12 2023
revised: 21 09 2024
accepted: 23 09 2024
medline: 1 10 2024
pubmed: 1 10 2024
entrez: 30 9 2024
Statut: aheadofprint

Résumé

To evaluate cumulative live birth following preimplantation genetic testing for aneuploidy (PGT-A) with next generation sequencing (NGS) compared to morphology alone among patients aged 21-40 years undergoing single blastocyst transfer. Retrospective cohort study SUBJECTS: Patients aged 21 to 40 years undergoing first, autologous retrieval cycles resulting in ≥ 5 fertilized oocytes, with subsequent single blastocyst transfer in SART clinics from 2016 to 2019. PGT-A using NGS MAIN OUTCOME MEASURES: The primary outcome was cumulative live birth per retrieval. Secondary outcomes included clinical pregnancy, miscarriage, and live birth per transfer. A total of 56,469 retrieval cycles were included in the analysis. Retrieval cycles were stratified based on age (< 35, 35-37, and 38-40 years) and exposure to PGT-A with NGS. Modified Poisson regression modeling was used to evaluate the association between PGT-A and cumulative live birth per retrieval while controlling for covariates. In this cohort, most cycles did not utilize PGT-A (n=49,608; 88%). After adjusting for covariates, the use of PGT-A was associated with a slightly lower cumulative live birth in individuals aged <35 years (risk ratio [RR] 0.96; 95% CI: 0.93, 0.99) compared with no PGT, but higher cumulative live birth in ages 35-37 years (RR 1.04; 95% CI: 1.00, 1.08), and 38-40 years (RR 1.14; 95% CI: 1.07, 1.20). A subgroup analysis limited to freeze-all cycles (n=29,041) showed that PGT-A was associated with higher cumulative live birth in individuals aged ≥ 35 years and was similar to no PGT in individuals aged < 35 years. Miscarriage was significantly less likely in individuals aged ≥ 35 years utilizing PGT-A compared with no PGT-A. In this large national database study, success rates in cycles utilizing PGT-A were dependent on age. Cumulative live birth was observed to be significantly less likely in PGT-A cycles among individuals aged < 35 years and more likely among individuals aged 38 to 40 years, compared to no PGT-A. In individuals with no fresh transfer, results were similar. Moreover, miscarriage was significantly less likely with PGT-A among individuals aged 35-40 years in a subgroup analysis of freeze-all cycles.

Identifiants

pubmed: 39349118
pii: S0015-0282(24)02261-1
doi: 10.1016/j.fertnstert.2024.09.043
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Benjamin S Harris (BS)

Duke University Health System, Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Morrisville, NC; Shady Grove Fertility - Jones Institute, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA. Electronic address: bharris17@gmail.com.

Kelly S Acharya (KS)

Duke University Health System, Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Morrisville, NC.

Shakthi Unnithan (S)

Duke University School of Medicine, Department of Biostatistics and Bioinformatics, Durham, NC.

Shelby A Neal (SA)

Duke University Health System, Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Morrisville, NC.

Sloane Mebane (S)

Duke University Health System, Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Morrisville, NC.

Tracy Truong (T)

Duke University School of Medicine, Department of Biostatistics and Bioinformatics, Durham, NC.

Suheil J Muasher (SJ)

Duke University Health System, Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Morrisville, NC.

Classifications MeSH