Glycemic Markers for Predicting Gestational Diabetes in Pregnant Women With Previous Bariatric Surgery

Gestational diabetes mellitus (GDM) is a common pregnancy complication associated with increased risks of maternal and perinatal morbidity. Early identification and appropriate management are essential to reduce adverse outcomes such as macrosomia, polyhydramnios, and cesarean delivery. The standard diagnostic approach for GDM is the 75-gram oral glucose tolerance test (OGTT). However, women with prior bariatric surgery frequently experience intolerance to glucose loading due to dumping syndrome, which limits the reliability and feasibility of OGTT in this population. Consequently, alternative diagnostic strategies are required. This prospective observational cohort study will be conducted at Prof. Dr. Cemil Taşcıoğlu City Hospital between February 2026 and December 2027. Pregnant women aged 18-50 years with a history of bariatric surgery will be enrolled during the first or second trimester. Participants will be categorized according to OGTT tolerance (tolerated vs. not tolerated/refused). Baseline demographic characteristics including maternal age, gravidity, parity, obstetric history, and educational status will be recorded. Glycemic parameters assessed during routine antenatal follow-up will include fasting plasma glucose, postprandial glucose, HbA1c levels, and urinary glucose measurements. Second and third trimester ultrasound findings will be documented. Pregnancy outcomes including diagnosis of GDM, macrosomia (birth weight \>4000 g), and polyhydramnios will be recorded. The primary objective is to evaluate the predictive value of routine glycemic markers for GDM. Secondary objectives include assessing their association with macrosomia and polyhydramnios. Statistical analyses will be performed using SPSS version 27. Continuous variables will be summarized as mean ± standard deviation or median (interquartile range) depending on distribution. Comparisons between groups will be performed using the Mann-Whitney U test. Multivariable logistic regression models will be used to determine independent predictors of GDM and other pregnancy complications after adjustment for potential confounders. This study aims to provide evidence for alternative screening approaches in pregnant women with prior bariatric surgery who are unable to tolerate OGTT and to improve clinical decision-making in this growing patient population.