Serial progesterone levels more accurately predict the time of ovulation in subfertile women: a prospective cohort study.


Journal

Journal of assisted reproduction and genetics
ISSN: 1573-7330
Titre abrégé: J Assist Reprod Genet
Pays: Netherlands
ID NLM: 9206495

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 20 02 2023
accepted: 15 06 2023
pmc-release: 01 08 2024
medline: 27 7 2023
pubmed: 23 6 2023
entrez: 23 6 2023
Statut: ppublish

Résumé

To predict ovulation in subfertile women using serial follicular growth (FG) and serum hormone measures (estradiol (E2), luteinizing hormone (LH), and progesterone (P) levels) in mathematical models. This was a prospective observational study of 116 subfertile women aged between 18 and 40 years. FG was assessed by serial transvaginal ultrasonography starting from cycle days 8-12, depending on cycle length. Once the dominant follicle reached 15-16 mm, hormone levels were assessed daily. The primary outcome measure was ovulation (O A mathematical model was constructed using exponential regression to relate days until and after ovulation with P levels. The O Serum P levels display a highly predictable linear curve in natural cycles, which enables the prediction of ovulation. The O

Identifiants

pubmed: 37351803
doi: 10.1007/s10815-023-02864-2
pii: 10.1007/s10815-023-02864-2
pmc: PMC10371972
doi:

Substances chimiques

Progesterone 4G7DS2Q64Y
Follicle Stimulating Hormone 9002-68-0
Luteinizing Hormone 9002-67-9
Estradiol 4TI98Z838E

Types de publication

Observational Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1897-1903

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Références

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Auteurs

Turgut Aydin (T)

Department of Obstetrics and Gynecology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.

Nadiye Koroglu (N)

Department of Obstetrics and Gynecology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey. nadiye_dugan@hotmail.com.

Nazli Albayrak (N)

Department of Obstetrics and Gynecology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.

Mert Akin Insel (MA)

Department of Chemical Engineering, Yildiz Technical University, Istanbul, Turkey.

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Classifications MeSH