BODY COMPOSITION AS A COMPLEMENTARY TOOL FOR METABOLIC SYNDROME DETECTION SIX YEARS POSTPARTUM: A St. CARLOS COHORT FOLLOW–UP.

The Hospital Clínico San Carlos is a public hospital located in the central area of Madrid and had a healthcare population of 445,000 inhabitants assigned during the performance of this study, between 2015-2017. The prenatal screening consultation is located in the hospital, where all pregnant women are received between the 9-12 week of gestation to perform the first ultrasound and the screening test to detect the risk of chromosomal alterations and were invited to participate in St Carlos GDM Prevention Studies. San Carlos Cohort. The San Carlos Cohort is constituted of women who took part in the studies for the prevention of Gestational Diabetes carried out between 2015-2017 and registered as RCT (ISRCTN84389045; ISRCTN13389832, ISRCTN16896947). The studies were approved by the Clinical Trials Committee of the Hospital Clínico San Carlos (CI 13/296-E, CI16/442-E, and CI 16/316)). All women signed the informed consentA total of 2529 normoglycemic (fasting serum glucose <92 mg/dL between the 8th-12th GW) pregnant women were included in the studies, of which 2228 women finally completed the study until delivery follow-up, between 2015-2018, and 1808 women participated in postnatal follow-up at a 6-year visit between 2020-2024, of which. A total of 1381 completed 6 years of follow-up without having had a new pregnancy, and have been included in this study. 379 in the CG (27.4%) and 1003 in the IG (72.6%), of whom 243 had GDM during pregnancy while the rest (1030) remained with normal glucose tolerance during gestation according to IADPSG criteria This study aimed to assess differences in body composition and metabolic health six years postpartum based on prior GDM diagnosis and to identify body composition cut–off values predictive of MetS. Body composition was assessed using bioelectrical impedance analysis (BIA), and MetS was diagnosed per harmonized criteria. Statistical analyses included ROC curves to establish diagnostic accuracy and optimal cut–off points.