Author/Authors :
Retnakaran, Revathy Biostatistician, Department of Community medicine - Shimoga Institute of Medical Sciences - Shimoga- 577201, Karnataka, India. , Rangappa, Manjula Assistant Professor - Department of Community Medicine - S. Nijalingappa Medical College - Navanagar, Bagalkot-587102.Karnataka, India. , Shantappa Kallaganad, Gurupadappa Professor and HOD - Department of Biochemistry, S. Nijalingappa Medical College, Bagalkot, Karnataka, India , Virupaxappa Kashinakunti, Sangappa Associate Professor - Department of Biochemistry, S. Nijalingappa Medical College, Navanagar, Bagalkot-587102.Karnataka, India , Basanagouda Biradar, Satish Assistant Professor - Department of General Medicine, S. Nijalingappa Medical College, Bagalkot, Karnataka, India
Abstract :
BACKGROUND: Diabetic nephropathy is the major cause for chronic renal failure (CRF) and proteinuria is an independent
risk factor for end stage renal disease. Hence, early identification and quantification of proteinuria is of prime importance
in the diagnosis and management.
METHODS: This study was conducted amongst 42 diabetic subjects from HSK hospital, Bagalkot. Twenty four-hour
urine protein and random urine protein to creatinine ratio (P:C) was determined. Pearson’s correlation, sensitivity, specificity,
positive and negative predictive values were determined using 24-hour urinary protein as a gold standard for
spot urine P:C ratio. ROC curve and area under curve was also determined using SPSS (11.5) software. All the results
were expressed in mean±SD.
RESULTS: Forty two diabetes mellitus patients participated in this study. The average of 24 hour urinary protein was 1.6
± 1.7 gm/day. The spot urine P:C ratio was 1.27 ± 1.55. There was a positive correlation between 24 hours urinary protein
and spot urine P:C ratio (r = 0.925, p < 0.0001). The area under the ROC curve for urine P:C ratio at various cutoff
was 0.947 (95% confidence interval: 0.831-0.992, p < 0.0001). The sensitivity and specificity was 80.65% and 100%
respectively at P:C ratio cutoff of 0.3.
CONCLUSIONS: The random urine P:C ratio predicts the amount of 24-hour urinary protein excretion with high accuracy.
Hence it can be used as a faster diagnostic substitute for 24-hour urinary protein estimation.