P-614 The use of home ovulation prediction kits (OPKs) in true natural cycle frozen embryo transfer (NC FET)
Notice bibliographique
Résumé
Abstract Study question Do urinary OPKs have inferior ability to detect the LH surge compared to daily serum monitoring among patients undergoing true NC FET? Summary answer OPKs are highly accurate and may serve as reliable tests to detect the LH surge among patients undergoing NC FET. What is known already Frozen embryo transfers continue to increase worldwide and recent evidence suggests natural cycle protocols may be superior to hormone replacement protocols because of lower risk of miscarriage and lower risk of pregnancy complications. Patients undergoing NC FET attend multiple clinic appointments which has been associated with increased patient stress levels during fertility treatment. OPKs have been found to be accurate at detecting the LH surge in the trying to conceive population and have high user acceptability. Study design, size, duration A prospective single cohort study including 139 fertility seeking participants was completed at an academic-affiliated fertility center for a duration of 12 months. Participants/materials, setting, methods Patients scheduled for NC FET (regular cycles 27-35 days, mid luteal progesterone >30 nmol/L, no luteal phase concern) with the ability to provide informed consent and access to SMS texting devices were eligible for participation. On the same day they started daily morning bloodwork as per the standard protocol (2-3 days prior to anticipated LH surge), participants began twice daily OPK testing. Upon exiting the study, patients completed a questionnaire on satisfaction with OPK use. Main results and the role of chance LH surge detection rate was 85.6% (n = 119/139) with serum monitoring and 93.5% (130/139) with OPK use (Kappa agreement 90.7%, K = 0.51, p < 0.001). Among patients with a serum-detected LH surge, OPK was positive within +/- 12 hours of the serum LH surge detection in 84.8% of patients. In 23.7% of cycles, OPK was positive the same morning as serum blood work. In 27.1% of cycles, OPK was positive 12h prior and in 33.9% of cycles, OPK was positive 12h after serum LH surge detection. Actual NC FET cycle cancellation rate was 16.6% (n = 23/139) compared to an anticipated cycle cancellation rate of 20.9% (29/139) if OPKs had been used to initiate serum monitoring. The average reduction in the number of serum monitoring visits and distance travelled in kilometers with OPK use was 3.9 visits (SD 2.1) and 155km (SD 174), respectively. The majority of participants reported satisfaction with OPK use. Of 135 patients, 110 (81.5%) strongly agreed the OPK was easy to use, 100 (74.1%) strongly agreed they would be open to using OPKs in future fertility treatments and 120 (88.9%) reported a reduction or no impact on stress levels associated with fertility treatments. Limitations, reasons for caution This study only used Clearblue Digital Ovulation Tests and the reported reliability in our study cannot be extrapolated to all OPKs. Additionally, the accuracy of the reported serum LH surge detection rate may be limited by physician specific definitions of serum LH surge. Wider implications of the findings OPKs are highly accurate and may serve as a reliable trigger for serum monitoring in NC FET. While their use would reduce the number of clinic appointments and distance travelled for patients undergoing NC FET cycles, patients should be advised OPK use may be associated with higher cycle cancellation rates. Trial registration number Not applicable
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».