Abstract
Objective: To correlate Cystatin C with GFR and urinary albumin in order to find it out as a marker of early detection of kidney
disease (diabetic nephropathy).
Study Design: A cross sectional analytic study
Place and Duration: The Department of Biochemistry, Islamic International Medical College from 15th March, 2016 to 14th March,
2017.
Methodology: The diabetic patients having urinary albumin creatinine level between 30 mg/g to 300 mg/g were selected. The
estimation of urinary albumin levels and cystatin C levels were carried out on IMAGIN Specific Protein Analyzer. GFR was calculated
using standardized clinical and pathological parameters of creatinine levels, patients age, gender and body size and a cutoff value of
GRF of < 60 ml was set for probable nephropathy.
Results: Mean age of patients was 56.1 ± 5.4 years with male predominance (58.5%). Non-parametric spearman’s correlation
coefficient found out that GFR was negatively correlated with Cystatin C (-.305). The correlation coefficient for and Cystatin C and
urinary albumin was (0.517) showing a perfect positive linear relation.
Conclusion: Cystatin C was found significantly correlated with GFR and urinary albumin, thus, validating previous findings regarding
Cystatin C’s role as an early marker of kidney diseases.
Atteaya Zaman, Aqsa Malik, Amena Rahim. (2019) Correlation of Cystatin C with Glomerular Filtration Rate and Urine Albumin – An early prediction of kidney status in type 2 Diabetes Mellitus, Isra Medical Journal, Volume 11, Issue 5.
-
Views
868 -
Downloads
94
