P-733 A non-selection study to evaluate non-invasive preimplantation genetic testing for aneuploidy
Notice bibliographique
Résumé
Abstract Study question How does non-invasive preimplantation genetic testing for aneuploidy (niPGT-A) perform to predict sustained implantation or live birth (SI/LB)? Summary answer Though not comparable to conventional PGT-A, niPGT-A can still be considered an appealing tool for clinical embryo prioritizing given its high negative predictive value (NPV). What is known already To omit the need for the invasive trophectoderm biopsy, niPGT-A which screens embryonic ploidy using embryonic cell free DNA released into the spent embryo culture medium (SEM) or blastocoel fluid (BF) was developed. Although the feasibility of niPGT-A has been shown and healthy live births have been reported from embryos screened by niPGT-A, the predictive value of niPGT-A for embryo transfer outcome has not been established yet and evidence is still lacking as to whether embryo selection by niPGT-A is associated with improved pregnancy outcomes. The answers to these are of vital importance to justify niPGT-A for clinical care. Study design, size, duration This is a single center, blinded, non-selection study consisting of single frozen embryo transfer cycles with a duration of two years, of which 117 cycles (Arm-1) were completed for 83 patients by transferring an embryo that was only morphologically assessed, and 90 cycles (Arm-2) were completed for 67 patients by transferring an euploid embryo that was screened by conventional biopsy-based PGT-A. Participants/materials, setting, methods Embryos were cultured in 25 μL continuous culture medium until blastocyst stage. The “SEM+BF” samples were ongoingly collected and archived at the end of culture. In Arm-1, after pregnancy outcomes were determined, the corresponding “SEM+BF” samples were pulled out for niPGT-A. In Arm-2, niPGT-A was also performed for some cases that did not end up in an SI/LB. NiPGT-A was completed by NICS and the incorporated ChromGo platform (Yikon Genomics). Main results and the role of chance Out of the 117 “SEM+BF” samples in Arm-1, 110 (94%) yielded an informative niPGT-A result. Among these, 46 transferred embryos were determined as “euploid” by niPGT-A and 15 resulted in SI/LB; 32 were determined as “aneuploid” and 27 did not resulted in SI/LB. Therefore, the positive and negative predictive values (PPV and NPV) of niPGT-A were 32.6% (15/46) and 84.4% (27/32), respectively. Another 32 transferred embryos in Arm-1 were determined as “suspected mosaic” and they showed a similar rate of SI/LB per embryo transfer to those “euploid” ones (37.5% vs. 32.6%, P = 0. 8092). Compared to Arm-1 overall, the “transferrable” embryos (“euploid” + “suspected mosaic”) determined by niPGT-A resulted in a much higher rate of SI/LB (34.6% vs. 27.6%, P = 0.3399). In Arm-2, 39 out of the 90 transferred euploid embryos resulted in SI/LB. “Euploid” embryos determined by PGT-A resulted in significantly better rate of SI/LB than “euploid” embryos determined by niPGT-A in Arm-1 (43.3% vs. 32.6%, P = 0.0243). Out of the 51 PGT-A “euploid” embryos that did not end up in SI/LB, 25 were also tested by niPGT-A with 6 being “suspected mosaic” and 3 being “abnormal/aneuploid”, raising the concern of possible false negative of conventional PGT-A. Limitations, reasons for caution The study enrolled a non-selected patient population which resulted in the inclusion of a few patients with a history of repeated implantation failure. Therefore, the PPV of niPGT-A might be underestimated as implantation failure could be attributed to defects in endometrial receptivity rather than in embryo quality. Wider implications of the findings This is the first non-selection study to validate niPGT-A in the setting of continuous culture medium. The high informative rate indicates its feasibility for clinics using a similar culture system. It also forms the foundation of a prospective, randomized controlled trial to further assess the benefit of niPGT-A. Trial registration number Not applicable
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».