MON-178 Feasibility of Continuous Glucose Monitor Use and Glucose Pattern Analysis in Females With Polycystic Ovary Syndrome
Notice bibliographique
Résumé
Abstract Disclosure: I. Safdar: None. R. Vettese: None. H. Hinz: None. H. Vanden Brink: None. E.A. Brennand: None. S.M. Dumanski: None. J.L. Benham: None. Background: Polycystic ovary syndrome (PCOS), characterized by hyperandrogenism, irregular menstrual cycles and polycystic ovarian morphology, affects >10% of females and has devastating impacts on metabolic, reproductive, and psychological health. Insulin resistance and dysglycemia are central metabolic disturbances involved in PCOS and contribute to an increased risk of early development of type 2 diabetes. Continuous glucose monitors (CGM) are readily available glucose sensors used in diabetes management. However, it is not known if CGM can be used in the management of people without diabetes at an increased risk for dysglycemia, including individuals living with PCOS. Objective:To evaluate the feasibility of using CGM and provide preliminary estimates of blood glucose (BG) patterns among individuals living with PCOS. Methods:We performed a pilot prospective cohort study of individuals with PCOS aged 18-45 years without a diagnosis of diabetes who did not use medication that could affect blood sugar or hormone levels. Participants underwent phenotyping to confirm PCOS diagnosis per Rotterdam criteria. Participants wore a FreeStyle Libre 2 CGM for 42 days, which recorded interstitial BG every 15 minutes. Feasibility outcomes were the recruitment rate, participant attrition, proportion of missing data from CGM, and participant satisfaction with CGM use. Secondary analysis examined glucose parameters: mean overall BG, overnight BG (23:00-07:00), daytime BG (07:01-22:59), and percent time in range (70-180 mg/dL), below range (<70 mg/dL), and above range (>180 mg/dL). BG parameters were stratified by biochemical hyperandrogenism status (elevated vs not) and compared using two-sided two-sample unequal-variance t-tests. Results:Out of 284 individuals screened, 35 met inclusion criteria and were enrolled, 30 completed the study, 4 (11.4%) withdrew, and 1 (2.9%) did not complete blood work. Reasons for withdrawal were declining to continue (n=2) and CGM adhesion difficulties (n=2). The mean recruitment rate was 5 participants/month. The median proportion of missing CGM data was 7.4% (IQR: 26.1%), with 4 participants (11%) having no missing data. Most participants (n=21, 60%) indicated they would use a CGM again if provided. As a result of their participation, two participants were diagnosed with type 2 diabetes. Mean daytime BG was higher in those with hyperandrogenism compared with those without (115.2 mg/dL vs 104.4 mg/dL, p=0.04). No significant differences between groups were observed for mean 42-day BG, overnight BG, and percent time in, above, or below range. Conclusion:We demonstrated the feasibility of CGM to assess dysglycemia among individuals living with PCOS. We observed a significant difference in daytime BG between those with hyperandrogenism and those without. Further research is needed to determine how CGM could be incorporated into PCOS management. Presentation: Monday, July 14, 2025
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| 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 | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».