ECEESPE2025 ePoster Presentations Multisystem Endocrine Disorders (51 abstracts)
1Department of Nuclear Medicine, Shanghai Tenth Peoples Hospital, School of Medicine, Tongji University, Shanghai, China; 2Center for Reproductive Medicine, The First Peoples Hospital of Chenzhou, Hunan, China; 3Department of Endocrinology and Metabolism, Shanghai Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; 4Tongji University Cancer Center, Shanghai Tenth Peoples Hospital, School of Medicine, Tongji University, Shanghai, China; 5Department of Endocrinology and Metabolism, Shanghai Tenth Peoples Hospital, School of Medicine, Tongji University, Shanghai, China; 6Tsinghua Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China; 7Department of General Practice, Shanghai Tenth Peoples Hospital, School of Medicine, Tongji University, Shanghai, China
JOINT1660
Purpose: To investigate the impact of 1-hour plasma glucose (1h-PG) on the metabolic characteristics and pregnancy outcomes in polycystic ovary syndrome (PCOS) patients.
Methods: A total of 1122 PCOS patients from Shanghai Tenth Peoples Hospital, Shanghai Renji Hospital, and Chenzhou First Peoples Hospital during 2019-2024 were recruited. Among them, 289 patients underwent assisted reproductive technology and 123 eventually delivered successfully. According to these patients plasma glucoses, we classified the whole cohort into three groups: Group 1: fasting PG (FPG)≤6.1 mmol/l, 1h-PG≤8.6 mmol/l, 2-hour PG (2h-PG)<7.8 mmol/L; Group 2: FPG≤6.1 mmol/l, 8.6 mmol/L<1h-PG<11.6 mmol/l, 2h-PG <7.8 mmol/L; Group 3: FPG≤6.1 mmol/l, 7.8 mmol/L≤2h-PG≤11.1 mmol/L. Geographical characteristics such as age, body mass index (BMI), blood pressure, waist-hip-ratio, PCOS classification; and clinical biomedical indicators, sex hormones and pregnancy outcomes were collected.
Results: For metabolic characteristics, when compared with Group 1, PCOS patients in Group 2 were more likely to have a higher incidence of hyperlipidemia, metabolic syndrome (MetS) and hyperuricemia, but were not significantly different from those of the Group 3. After adjustment for age, BMI and PCOS classification, the adjusted odds ratios (ORs) for incidence of hyperlipidemia, metabolic syndrome (MetS), and hyperuricemia in PCOS patients with Group 2 were 1.576 (1.121-2.216, P = 0.009), 1.804 (1.002-3.246, P = 0.049), 1.734 (1.224-2.457, P = 0.002), respectively. For pregnancy outcomes, PCOS patients in Group 2 were more likely to progress to gestational diabetes mellitus (GDM) than those of the Group 1, but were comparable to those of in Groups 3. After adjustment for age, BMI and PCOS classification, the adjusted OR for GDM in the Group 2 was 3.931 (1.122-13.777, P = 0.032).
Conclusions: Our study demonstrated that similar to 2h-PG, PCOS patients with elevated 1h-PG had a significantly higher risk of different metabolic disorders and GDM. Therefore, patients with PCOS should be emphasized the harmful effects of 1h-PG, which can be used for earlier screening and interventions in high-risk PCOS patients.
Keywords: polycystic ovary syndrome, 1-hour plasma glucose, metabolic disorders, gestational diabetes mellitus.