Predictive roles of GST, Cystatin C, and renal function parameters in pathogenesis of kidney disease in Iraqi population

Background; The illness known as chronic kidney disease (CKD) is characterized by malfunctioning kidneys that are unable to cleanse blood as effectively as they must. Methods; The conducted investigation was processed within Diyala province during time from 1/8 to 30/9 months within 2023 year. Sixty blood samples had from chronic kidney patients that sleep in Ibn Sina Centre for dialysis that lie within Baquba learning Hospital after selected them by specialist doctor. Additionally, fourteen samples of blood were had from healthy peoples and expressed them as control group. Urea and Creatinine levels were assessed by Biorex Machine (UK company). Serum concentrations of Cystatin C and GST parameters were quantified by Siemens ADVIA 1800 Biochemistry Analyzer, Assays: Clinical Chemistry (USA company). SPSS v. 23.0 and Graph pad prism v. 6 statistical programs were utilized in analysis our data. Results; Outcomes of our investigation appeared the age groups (41-60 and 61-80 years) and diseases causes (hypertension and diabetes) expressed highest percentages (38% and 23%) and (32% and 27%) among chronic kidney patients with important variation (p<0.05). The current research no showed significantly variation (p>0.05) among percentages of gender and BMI of chronic kidney patients. The concentrations of GST, Cystatin C, urea and creatinine parameters were highest in chronic kidney patients than healthy group with importantly differences (p<0.05). Based on ROC curve findings, the Cystatin C has highest sensitivity and specificity (100% and 91%) at cut-off >1.07 in selecting chronic kidney diseases compared to urea, creatinine and GST with highly variation (p<0.05).