CORRELATION OF BLOOD GLUCOSE AND SERUM LEVELS OF UREA AND CREATININE AMONG DIABETIC PATIENTS IN EDO STATE TEACHING HOSPITAL, AUCHI

Diabetes mellitus is a systemic condition distinguished by prolonged elevated levels of blood glucose, often correlated with inflammation and oxidative stress. This study investigated the correlation between blood glucose levels and serum levels of urea and creatinine among diabetic patients at Edo State University Teaching Hospital, Auchi. The primary aim was to assess blood glucose levels, measure serum urea and creatinine levels, and determine the correlations among these parameters in diabetic patients, with additional focus on gender-based differences. A total of 100 patients, including both diabetic and non-diabetic individuals, were included in the study. Venous samples were collected from each participant which was then separated using the centrifuge and then analysed spectrophotometrically The results revealed that diabetic patients exhibited significantly (p < 0.05) higher serum glucose (158.36 ± 51.80 mg/dl), urea (59.10 ± 18.39 mg/dl), and creatinine (1.52 ± 0.96 mg/dl) levels compared to non-diabetic patients. Despite these elevated levels, no significant (p > 0.05) correlation was found between serum glucose and the levels of urea and creatinine among diabetic patients (p > 0.05), suggesting that these biochemical markers might be regulated independently. Additionally, there were no statistical significance (p > 0.05) gender-based differences in the correlation patterns. The findings indicated the presence of hyperglycemia and potential renal impairment in diabetic patients but also highlighted the complex, multifactorial nature of these conditions, where glucose metabolism and kidney function might be influenced by different pathophysiological mechanisms. This study emphasized the importance of comprehensive diabetes management strategies that go beyond glucose control to include regular monitoring and early detection of renal complications. Further research was recommended to explore the underlying mechanisms and potential gender-specific factors affecting these correlations in diabetic populations.