Estimating eGFR using Serum Cystatin C alone and in combination with Serum Creatinine: A Prospective study in individuals with CKD in north Telangana

• Main Author: B Venugopal1 , S Sangeeta2
• Format: Article
• Language: English
• Published: Prathima Institute of Medical Sciences 2018-08-01
• Series: Perspectives In Medical Research
• Subjects: cystatin-c; creatinine; chronic kidney disease; egfr
• Online Access: http://www.pimr.org.in/Venugopal-vol-6-issue-2-2018.PDF

Introduction Clinical assessment of kidney function is part of routine medical care for adults. More than 80% of clinical laboratories now report an estimated glomerular filtration rate (GFR) when serum creatinine is measured. Variations in Non-GFR biochemical parameters like creatine can affect the differential diagnosis of renal disorders leading to unnecessary diagnostic interventions. In recent studiesof prognosis, Cystatin C is considered to be a potential alternative marker to serum creatinine for estimating GFR.cystatin C testing has been greatly improved by the release of a certified reference material for calibrating laboratory assays and by the development of new, less expensive methods for automated analyzers. Aim&Objectives: To evaluate the role of serum Cystatin-C and serum creatinine for measuring eGFR using CKD-EPI equation in chronic kidney disease patients. Materials & Methods: In this study comprising of two comparative groups consisting of 30 study participants each were enrolled in the study. Group-I includes30 normal healthy subjects, Group-II includes 30Chronic kidney disease patients. A random venous blood sample of 5ml was collected from each participant in a plain vaccutainer. Creatinine, Cystatin-C were estimated by using Erba & Accurex kits on XL-640 clinical chemistry analyzer.eGFR was calculated using CKD-EPI equation. Results: The results of two groups are expressed as Mean±SD. The values of cystatin-C and serum creatinine were significantly increased in Chronic kidney disease (group-II) when compared with group-I (controls). Statistical Analysis: The data was analyzed by calculating Mean±SD (123.7±36.28),(26.03±12.73), Original Article (104.90±29.17),(28.34±22.65) respectively for every parameter and ‘p’ value (0.0001) was calculated by applying student ‘t’ test using graph pad calculator. Correlation studies were done using Karl Pearson’s test. Statistical significance was considered at ‘p’-value0.0001 . Conclusion: The present study suggests that eGFRcalculated using CKD-EPI equation using cystatin-C alone and combination of creatinine and cystatin-c can be used as an indicator for early prognosis of chronic kidney disease