Original ArticleIndian Journal of Pharmaceutical Education and ResearchVol. 52 | Issue 4s | 2018 | pp. s257–s267Open access
Agreement between Creatinine and Cystatin C-Based Equations in the Estimation of Glomerular Filtration Rate among Malaysian Patients with Renal Impairment
- 1,
- 2,
- 1,
- 1,
- 3,
- 3,
- 1*
- 1 Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, MALAYSIA.
- 2 Nephrology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Center, Cheras, MALAYSIA.
- 3 Department of Pathology, Universiti Kebangsaan Malaysia Medical Center, Cheras, MALAYSIA.
Published in Indian Journal of Pharmaceutical Education and Research
Correspondence: Mohd Makmor-Bakry
Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, MALAYSIA.
Email: mohdclinpharm@ukm.edu.my
Copyright: © 2018 Manuscript Technomedia. This is an open access article.
- Published:
- Nov 28, 2018
- Received:
- May 25, 2018
- Accepted:
- Oct 23, 2018
How to cite
Tahir, N. A. M., Gafor, A. H. A., Islahudin, F. H., Saffian, S. M., Manan, H. A., Othman, H., & Makmor-Bakry, M. (2018). Agreement between Creatinine and Cystatin C-Based Equations in the Estimation of Glomerular Filtration Rate among Malaysian Patients with Renal Impairment. Indian Journal of Pharmaceutical Education and Research, 52(4s), s257–s267. https://doi.org/10.5530/ijper.52.4s.106
Abstract
Background: Cystatin C-based equations have been proposed as an alternative for creatinine-based equations in the estimation of Glomerular Filtration Rate (eGFR). Limited studies were available with regards to the Asian population to evaluate the agreement of eGFR measured based on both biomarkers. This study aimed to evaluate the agreement between various cystatin C- and creatinine-based eGFR equations. Methods: Patients were recruited from the Nephrology Clinic Universiti Kebangsaan Malaysia Medical Centre. Serum cystatin C and creatinine levels were analysed by particle-enhanced immunoturbidimetry assay and kinetic alkaline picrate method, respectively. Various cystatin C-based (Hoek, Larsson, Grubb, Flodin, cystatin C-based Chronic Kidney Disease Epidemiology (CKD-EPI)) and creatinine-based eGFR equations (Cockcroft-Gault, Modification of Diet in Renal Disease, creatinine-based CKD-EPI) were compared by using the Pearson’s correlation and Bland-Altman plot. Results: A total of 118 patients included in this study have a mean age of 61±15 years and 57.6% were female. The mean serum cystatin C and creatinine levels were 2.00±1.06 mg/L and 2.21±1.63 mg/dL, respectively. The correlation between serum cystatin C and creatinine level was significant (r=0.78, P<0.01). All cystatin C-based eGFR correlated significantly with the creatinine-based eGFR equations. The strongest correlation was between creatininebased and cystatin C-based CKD-EPI equation (r=0.93, P<0.01). The Bland-Altman plot shows that cystatin C-based CKD-EPI equation had the least mean difference when compared with creatinine-based CKD-EPI equation. Conclusion: Significant correlation and good agreement were demonstrated between various cystatin C-based and creatininebased eGFR equations. The cystatin C-based equations are appropriate alternative for GFR measurement among Malaysian patients with renal impairment.
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Article metadata
| Title | Agreement between Creatinine and Cystatin C-Based Equations in the Estimation of Glomerular Filtration Rate among Malaysian Patients with Renal Impairment |
|---|---|
| Authors | Nor Asyikin Mohd Tahir; Abdul Halim Abdul Gafor; Farida Hanim Islahudin; Shamin Mohd Saffian; Hamizah Abdul Manan; Hanita Othman; Mohd Makmor-Bakry |
| Affiliations | Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, MALAYSIA.; Nephrology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Center, Cheras, MALAYSIA.; Department of Pathology, Universiti Kebangsaan Malaysia Medical Center, Cheras, MALAYSIA. |
| Corresponding author | mohdclinpharm@ukm.edu.my |
| Journal | Indian Journal of Pharmaceutical Education and Research |
| Volume / Issue | Vol. 52, Issue 4s (2018) |
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