Hyperandrogenism and menstrual imbalance are the best predictors of metformin response in PCOS patients.


Journal

Reproductive biology and endocrinology : RB&E
ISSN: 1477-7827
Titre abrégé: Reprod Biol Endocrinol
Pays: England
ID NLM: 101153627

Informations de publication

Date de publication:
04 Jan 2022
Historique:
received: 17 10 2021
accepted: 08 12 2021
entrez: 5 1 2022
pubmed: 6 1 2022
medline: 23 3 2022
Statut: epublish

Résumé

Moving from the correlation between insulin-resistance and PCOS, metformin has been administered in some PCOS women improving ovulatory and metabolic functions and decreasing androgen levels. Inconsistency and unpredictability of response to metformin limit its extensive use. Aim of this study was to identify reliable predictors of response to metformin therapy for weight loss and reduction in plasma androgen levels using ANNs (artificial neural networks). One hundred eight consecutive women with PCOS (ESHRE/ASRM 2003 Rotterdam criteria) treated with metformin 1500 mg/day, at inclusion and every 6 months underwent to a complete clinical, endocrine/metabolic assessment and ultrasonographic evaluation. Therapy outcomes were BMI reduction (≥1 kg/m At 6 months 54 out of 103 (52,4%) obese patients showed BMI reduction and 45 out of 89 (50,6%) hyperandrogenemic women showed FAI decrease. The further response rates at 12 months were 30,6 and 47%, respectively. SCMs showed a clear polarization for both the outcomes with elevated accuracy. Treatment responsiveness resulted strictly related to oligo-amenorrhea and hyperandrogenemia at baseline. In addition, lower serum testosterone levels at baseline were found to be the major predictor of treatment discontinuation. In women with PCOS, menstrual pattern imbalance and ovarian androgens excess are the best predictors of metformin response. They may pave the way for a rethinking of the criteria for evaluating hyperandrogenism in order to better define the large population included in the diagnosis of PCOS. Baseline plasma testosterone level can serve as a sensitive marker to predict treatment compliance.

Sections du résumé

BACKGROUND BACKGROUND
Moving from the correlation between insulin-resistance and PCOS, metformin has been administered in some PCOS women improving ovulatory and metabolic functions and decreasing androgen levels. Inconsistency and unpredictability of response to metformin limit its extensive use. Aim of this study was to identify reliable predictors of response to metformin therapy for weight loss and reduction in plasma androgen levels using ANNs (artificial neural networks).
METHODS METHODS
One hundred eight consecutive women with PCOS (ESHRE/ASRM 2003 Rotterdam criteria) treated with metformin 1500 mg/day, at inclusion and every 6 months underwent to a complete clinical, endocrine/metabolic assessment and ultrasonographic evaluation. Therapy outcomes were BMI reduction (≥1 kg/m
RESULTS RESULTS
At 6 months 54 out of 103 (52,4%) obese patients showed BMI reduction and 45 out of 89 (50,6%) hyperandrogenemic women showed FAI decrease. The further response rates at 12 months were 30,6 and 47%, respectively. SCMs showed a clear polarization for both the outcomes with elevated accuracy. Treatment responsiveness resulted strictly related to oligo-amenorrhea and hyperandrogenemia at baseline. In addition, lower serum testosterone levels at baseline were found to be the major predictor of treatment discontinuation.
CONCLUSIONS CONCLUSIONS
In women with PCOS, menstrual pattern imbalance and ovarian androgens excess are the best predictors of metformin response. They may pave the way for a rethinking of the criteria for evaluating hyperandrogenism in order to better define the large population included in the diagnosis of PCOS. Baseline plasma testosterone level can serve as a sensitive marker to predict treatment compliance.

Identifiants

pubmed: 34983571
doi: 10.1186/s12958-021-00876-0
pii: 10.1186/s12958-021-00876-0
pmc: PMC8729102
doi:

Substances chimiques

Biomarkers, Pharmacological 0
Blood Glucose 0
Hypoglycemic Agents 0
Metformin 9100L32L2N

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6

Informations de copyright

© 2021. The Author(s).

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Auteurs

Emanuele Garzia (E)

Reproductive Medicine Unit, Department of Mother and Child, San Paolo Hospital Medical School, ASST Santi Paolo e Carlo, 20142 via di Rudinì, 8 -, Milano, Italy. emanuele.garzia@asst-santipaolocarlo.it.
Istituto di Medicina Aerospaziale "A. Mosso", Aeronautica Militare, Milano, Italy. emanuele.garzia@asst-santipaolocarlo.it.

Valentina Galiano (V)

Reproductive Medicine Unit, Department of Mother and Child, San Paolo Hospital Medical School, ASST Santi Paolo e Carlo, 20142 via di Rudinì, 8 -, Milano, Italy.

Giovanni Marfia (G)

Istituto di Medicina Aerospaziale "A. Mosso", Aeronautica Militare, Milano, Italy.
Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
"Aldo Ravelli" Research Center, Milano, Italy.

Stefania Navone (S)

Laboratory of Experimental Neurosurgery and Cell Therapy, Neurosurgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
"Aldo Ravelli" Research Center, Milano, Italy.

Enzo Grossi (E)

Villa Santa Maria Foundation, Tavernerio, Italy.

Anna Maria Marconi (AM)

Gynecology and Obstetrics Unit, Department of Mother and Child, San Paolo Hospital Medical School, Department of Health Sciences, University of Milano, Milano, Italy.

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Classifications MeSH