In this 28-year prospective study of 455 women (mean age: 26 years), polycystic ovary syndrome (PCOS) was associated with a 2.6-fold elevated risk of gestational diabetes (GDM). However, hyperandrogenism or oligomenorrhea in the absence of PCOS was not associated with GDM.
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http://dx.doi.org/10.1016/j.diabres.2023.110593 | DOI Listing |
Metabolites
December 2024
Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy.
: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of fertile age. Some studies suggest that a ketogenic diet (KD) may have a role in treating PCOS. We aimed to demonstrate the long-term effectiveness of a KD in PCOS.
View Article and Find Full Text PDFObstet Gynecol Clin North Am
December 2024
Division of Pediatric Gynecology, University of Toronto, Hospital for Sick Children, Toronto, Ontario, Canada. Electronic address:
Polycystic ovary syndrome (PCOS) is a heterogeneous endocrinologic disorder that is characterized by oligomenorrhea or amenorrhea and signs of hyperandrogenism. The cause of PCOS remains unknown, but the syndrome is associated with insulin resistance that in turn leads to hyperandrogenism. An accurate and prompt diagnosis of PCOS is important to understanding an adolescent's risk.
View Article and Find Full Text PDFJ Assist Reprod Genet
December 2024
IVIRMA Global Research Alliance, Livet, Turin, Italy.
Purpose: To assess oocyte competence and embryo chromosomal constitution in phenotype-D PCOS women undergoing ICSI for PGT-A at the blastocyst stage.
Methods: Retrospective study at a private IVF center. In the period 2013-2021, 58 naïve phenotype-D PCOS women (i.
Heliyon
October 2024
Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, 600025, Tamil Nadu, India.
PolyCystic Ovarian Syndrome (PCOS) poses significant challenges to women's reproductive health due to its diagnostic complexity arising from a variety of symptoms, including hirsutism, anovulation, pain, obesity, hyperandrogenism, and oligomenorrhea, necessitating multiple clinical tests. Leveraging Artificial Intelligence (AI) in healthcare offers several benefits that can significantly impact patient care, streamline operations, and improve medical outcomes overall. This study presents an Explainable Artificial Intelligence (XAI)-driven PCOS smart predictor, structured as a hierarchical ensemble consisting of two tiers of Random Forest classifiers following extensive analysis of seven conventional classifiers and two additional stacking ensemble classifiers.
View Article and Find Full Text PDFJAMA Netw Open
October 2024
Reproductive Biology and Maternal Health, Child Health, Indian Council of Medical Research, New Delhi, India.
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