Comparison of Creatinine, Cystatin C and Combined Creatinine-Cystatin C for Renal Function Assessment in Patients with Diabetes

  • Saba Umar Armed Forces Institute of Urology/National University of Medical Sciences (NUMS), Rawalpindi Pakistan
  • Sohail Sabir Armed Forces Institute of Urology/National University of Medical Sciences (NUMS), Rawalpindi Pakistan
  • Nadeem Malik Azam Pak Emirates Military Hospital/ National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Muhaamad Aamir Armed Forces Institute of Pathology/National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Afshan Bibi Armed Forces Institute of Pathology/National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Ashfaq Altaf Armed Forces Institute of Urology/National University of Medical Sciences (NUMS), Rawalpindi Pakistan
  • Faud Ahmed Siddiqui Combined Military Hospital/National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Haroon Sabir Pakistan Naval Ship Shifa Hospital, Islamabad Pakistan
  • Khalid Mehmood Raja Pak Emirates Military Hospital/ National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Batool Butt Fauji Foundation Hospital, Rawalpindi Pakistan
Keywords: Chronic kidney disease, Diabetes mellitus, Estimated glomerular filtration rate, Glomerular filtration rate

Abstract

Objective: To compare the estimated glomerular filtration rate (eGFR) assessed through the CKD-EPI equations based on creatinine, Cystatin C and creatinine-Cystatin C levels for estimating kidney function among patients with diabetes.

Study Design: Cross-sectional analytical study.

Duration and Place of Study: Nephrology Department, Armed Forces Institute of Urology, Rawalpindi Pakistan, from Aug 2020 to Mar 2021.

Methodology: A total of 70 patients were recruited. Serum samples were collected for creatinine and Cystatin C levels and 24 hours of urine for creatinine clearance. The eGFR values were calculated using the creatinine, Cystatin C and combined creatinine-Cystatin C CKD-EPI equations and compared with 24 hours of urinary creatinine clearance.

Results: A total of 22 (31.4%) patients had early stage, while 48 (68.6%) had late-stage chronic kidney disease (CKD). The highest Spearman correlation coefficient was found for eGFR CKD-EPIcr-cys (rho=0.844), followed by CKD-EPIcys (rho= 0.835) and CKD-EPIcr (rho=0.709).

Conclusion: CKD-EPIcr-cys is the most accurate, recommended method of calculating eGFR.

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Published
2022-06-21
How to Cite
Umar, S., Sabir, S., Azam, N., Aamir, M., Bibi, A., Altaf, A., Siddiqui, F., Sabir, H., Raja, K., & Butt, B. (2022). Comparison of Creatinine, Cystatin C and Combined Creatinine-Cystatin C for Renal Function Assessment in Patients with Diabetes. PAFMJ, 72(3), 771-74. https://doi.org/10.51253/pafmj.v72i3.6712
Section
Original Articles

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