Journal of Research in Applied and Basic Medical Sciences (Nov 2024)
Correlation Study to Associate Serum Glycaemic Status Markers with Uric Acid–HDL Cholesterol Ratio among Gestational Diabetes Mellitus and Normal Pregnancy
Abstract
Background & Aims: Pregnancy is a diabetogenic state characterized by hyperinsulinemia and insulin resistance. The primary goal of identifying gestational diabetes mellitus (GDM) is to detect women at risk for adverse perinatal outcomes. Proper diagnosis of this condition and its complications is essential for the benefit of both maternal and child health. The uric acid/HDL-C ratio (UHR), which combines two metabolic parameters—serum uric acid and HDL-C— is a powerful predictor of metabolic deterioration. The present study aims to understand the role of metabolic derangement in the development of GDM in pregnant women and to compare these findings with those of healthy controls. The objectives of the study are to compare the serum UHR in the GDM and control populations and to correlate UHR in each group with glycemic status markers and BMI. Materials & Methods: Based on inclusion and exclusion criteria, a total of 30 cases and 30 age-matched controls were selected for the study. The age range was 18 to 35 years. All serum parameters were analyzed using a Beckman Coulter AU-480 fully automated analyser. UHR was calculated from serum uric acid and HDL-C values using the formula: UHR = UA/HDL-C. Results: The results show that patients with GDM had higher uric acid levels and UHR and lower HDL-C levels than healthy controls, suggesting significant metabolic derangement in this group. Conclusion: Routine use of UHR as an early screening tool can help identify metabolic abnormalities in GDM. This will also aid in early pharmacological intervention, thereby preventing future complications for both the mother and foetus.