Evaluation and Correlation of Urinary Micro Albumin in Early Diagnosis of Patients with Hypertension Related Chronic Kidney Disease
DOI:
https://doi.org/10.62472/kjps.v14.i23.44-53الكلمات المفتاحية:
Urinary microalbumin، Hypertension، Chronic Kidney Disease، Urea، Creatinineالملخص
Abstract One of the main organs targeted by hypertension, which is now understood by science to be an inflammatory disease, is the kidney. Urinary microalbumin, serum blood urea nitrogen, and creatinine are examples of clinical biochemical indicators for kidney illness that are often employed. This study aimed to study the role of Urinary microalbumin as a marker of inflammation in hypertensive chronic kidney disease patients. Evaluate the association of Urinary microalbumin levels in chronic kidney disease with/without hypertension. Possible usage of this marker as a predictive index for regular kidney disease occurrence. A case–control study was conducted on 100 participants, including 48 individuals identified as male and 52 individuals identified as female; in addition, their ages ranged from (20 to 70), these 100 participants, including (35) chronic kidney disease patients with hypertension (35) chronic kidney disease patients without hypertension, and (30) healthy control group, were evaluated concerning Urinary Micro Albumin using an immunochromatographic test kit. The results illustrated that Urinary microalbumin, Urea and Creatinine in CKD with the HBP group showed a highly significant increase (p˂0.05) compared to the control group according to case/ control, sex and age. In contrast, the most negligible value was in the Control group. In conclusion The research findings indicate a correlation between hypertension and chronic kidney disease (CKD). The presence of hypertension resulted in elevated levels of Urinary microalbumin, urea, and creatinine in patients as compared to the control group. Urinary microalbumin has the potential to serve as a marker for the assessment of glomerular and tubular function in adults. It performs comparably to the Cr-based estimating equations as an indicator of renal function.