Skip to main content
Log in

Cystatin C and serum creatinine as predictors of kidney graft outcome

  • Nephrology - Original Paper
  • Published:
International Urology and Nephrology Aims and scope Submit manuscript

Abstract

Purpose

Serum cystatin C (Cys C) was evaluated as a predictor of kidney graft failure progression, and its predictive ability was compared to other markers of graft function.

Methods

The following kidney graft markers were determined in 91 patients who came for regular checkups of kidney graft function to our outpatient service in February 2008: Cys C, serum creatinine (sCr), 24-h proteinuria and 24-h urinary creatinine clearance (CCr). Glomerular filtration rate (eGFR) was estimated using sCr-based and Cys C formula. Patients were regularly monitored until February 2013 or to graft failure.

Results

During follow-up, graft failure occurred in 21 recipients. The Cys C ≥2.65 mg/l discriminated patients with and without graft failure (sensitivity of 80.95 % and specificity of 92.86 %). According to c statistic, the highest performance was achieved for Cys C (0.874). In addition, Cys C area under the curve (AUC) was significantly better than CCr AUC (p = 0.007), 24-h proteinuria AUC (p = 0.03), eGFR estimated by the chronic kidney disease epidemiology collaboration (EPI) AUC (p = 0.05), but not better than sCr or eGFR AUCs calculated by other formulas. In the multivariable model, sCr, CCr, Cys C and eGFRs were predictors of graft failure. Combination of Cys C, sCr and logarithm of 24 h proteinuria (0.883) or Cys C, CCr and logarithm of 24-h proteinuria (0.884) had the highest AUC for predicting graft outcome that exceed insignificantly Cys C or sCr areas.

Conclusions

The most reliable predictors of graft outcome were Cys C, sCr and proteinuria. Because Cys C is unavailable in many transplant centers, from the practical point of view, sCr remains the most sensitive predictor of graft outcome.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Meier-Kriesche HU, Schold JD, Srinivas TR, Kaplan B (2004) Lack of improvement in renal allograft survival despite a marked decrease in acute rejection rates over the most recent era. Am J Transplant 4(3):378–383

    Article  PubMed  Google Scholar 

  2. Star R, Hostetter T, Hortin GL (2002) New markers for kidney disease. Clin Chem 48:1375–1376

    CAS  PubMed  Google Scholar 

  3. Levey AS, Coresh J, Greene T et al (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145:247–254

    Article  CAS  PubMed  Google Scholar 

  4. Gaspari F, Ferrari S, Stucchi N et al (2004) Performance of different prediction equations for estimating renal function in kidney transplantation. Am J Transplant 4:1826–1835

    Article  PubMed  Google Scholar 

  5. Menon V, Shlipak MG, Wang X et al (2007) Cystatin C as a risk factor for outcomes in chronic kidney disease. Ann Intern Med 147(1):19–27

    Article  PubMed  Google Scholar 

  6. Risch L, Blumberg A, Huber A (1999) Rapid and accurate assessment of glomerular filtration rate in patients with renal transplants using serum cystatin C. Nephrol Dial Transplant 14:1991–1996

    Article  CAS  PubMed  Google Scholar 

  7. Abouchacra S, Chaaban A, Hakim R, Gebran N, El-Jack H, Rashid F, Boobes Y, Muhairi A, Hussain Q, Khan I, Chedid F, Negelkerke N (2012) Renal biomarkers for assessment of kidney function in renal transplant recipients: how do they compare? Int Urol Nephrol 44(6):1871–1876

    Article  CAS  PubMed  Google Scholar 

  8. Levey AS, Coresh J, Greene T et al (2007) Expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 53:766–772

    Article  CAS  PubMed  Google Scholar 

  9. Ix JH, Wassel CL, Stevens LA, Beck GJ, Froissart M, Navis G, Rodby R, Torres VE, Zhang YL, Greene T, Levey AS (2011) Equations to estimate creatinine excretion rate: the CKD epidemiology collaboration. Clin J Am Soc Nephrol 6(1):184–191

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  10. Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, Kusek JW, Manzi J, Van Lente F, Zhang YL, Coresh J, Andrew S, Levey AS, For the CKD-EPI Investigators (2012) Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 367:20–29

    Article  CAS  PubMed  Google Scholar 

  11. Larsson A, Malm J, Grubb A, Hansson LO (2004) Calculation of glomerular filtration rate expressed in mL/min from plasma cystatin C values in mg/L. Scand J Clin Lab Invest 64:25–30

    Article  CAS  PubMed  Google Scholar 

  12. Rule AD, Bergstralh EJ, Slezak JM, Bergert J, Larson TS (2006) Glomerular filtration rate estimated by cystatin C among different clinical presentations. Kidney Int 69:399–405

    Article  CAS  PubMed  Google Scholar 

  13. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845

    Article  CAS  PubMed  Google Scholar 

  14. Kaplan B, Schold J, Meier-Kriesche HU (2003) Poor predictive value of serum creatinine for renal allograft loss. Am J Transplant 3:1560–1565

    Article  CAS  PubMed  Google Scholar 

  15. Tangri N, Stevens LA, Schmid CH, Zhang YL, Beck GJ, Greene T, Coresh J, Levey AS (2011) Changes in dietary protein intake has no effect on serum cystatin C levels independent of the glomerular filtration rate. Kidney Int 79:471–474

    Article  CAS  PubMed  Google Scholar 

  16. Stevens LA, Schmid CH, Greene T, Li L, Beck GJ, Joffe MM, Froissart M, Kusek JW, Zhang YL, Coresh J, Levey AS (2009) Factors other than glomerular filtration rate affect serum cystatin C levels. Kidney Int 75:652–660

    Article  CAS  PubMed  Google Scholar 

  17. Zahran A, Qureshi M, Shoker A (2007) Comparison between creatinine and cystatin C-based GFR equations in renal transplantation. Nephrol Dial Transplant 22:2659–2668

    Article  CAS  PubMed  Google Scholar 

  18. Harman G, Akbari A, Hiremath S, White CA, Ramsay T, Kokolo MB, Craig J, Knoll GA (2013) Accuracy of cystatin C-based estimates of glomerular filtration rate in kidney transplant recipients: a systematic review. Nephrol Dial Transplant 28(3):741–757

    Article  CAS  PubMed  Google Scholar 

  19. Le Bricon T, Thervet E, Benlakehal M, Bousquet B, Legendre C, Erlich D (1999) Changes in plasma cystatin C after renal transplantation and acute rejection in adults. Clin Chem 45:2243–2249

    PubMed  Google Scholar 

  20. White C, Akbari A, Hussain N, Dinh L, Filler G, Lepage N, Knoll GA (2005) Estimating glomerular filtration rate in kidney transplantation: a comparison between serum creatinine and cystatin C-based methods. J Am Soc Nephrol 16:3763–3770

    Article  CAS  PubMed  Google Scholar 

  21. Maillard N, Mariat C, Bonneau C, Mehdi M, Thibaudin L, Laporte S, Alamartine E, Chamson A, Berthoux F (2008) Cystatin C-based equations in renal transplantation: moving toward a better glomerular filtration rate prediction? Transplantation 85:1855–1858

    Article  CAS  PubMed  Google Scholar 

  22. Masson I, Maillard N, Tack I, Thibaudin L, Dubourg L, Delanaye P, Cavalier E, Bonneau C, Kamar N, Morelon E, Moranne O, Alamartine E, Mariat C (2013) GFR estimation using standardized Cystatin C in kidney transplant recipients. Am J Kidney Dis 61(2):279–284

    Article  CAS  PubMed  Google Scholar 

  23. He X, Moore J, Shabir S, Little MA, Cockwell P, Ball S, Liu X, Johnston A, Borrows R (2009) Comparison of the predictive performance of eGFR formulae for mortality and graft failure in renal transplant recipients. Transplantation 87:384–392

    Article  PubMed  Google Scholar 

  24. Hariharan S, McBride MA, Cherikh WS, Tolleris CB, Bresnahan BA, Johnson CP (2002) Post transplant renal function in the first year predicts long-term kidney transplant survival. Kidney Int 62:311–318

    Article  PubMed  Google Scholar 

  25. Tangri N (2011) A Predictive model for progression of chronic kidney disease to kidney failure. JAMA 305(15):1553–1559

    Article  CAS  PubMed  Google Scholar 

  26. Foucher Y, Daguin P, Ahmed Akl A, Kessler M, Ladriere MM, Legendre C, Kreis H, Rostaing L, Kamar N, Mourad G, Garrigue V, Bayle F, de Ligny BH, Buchler M, Meier C, Daures JP, Soulillou JP, Giral M (2010) A clinical scoring system highly predictive of long-term kidney graft survival. Kidney Int 78:1288–1294

    Article  PubMed  Google Scholar 

  27. Hernandez D, Perez G, Marrero D et al (2012) Early association of low-grade albuminuria and allograft dysfunction predicts renal transplant outcome. Transplantation 93:297–303

    Article  CAS  PubMed  Google Scholar 

  28. Hallan SI, Ritz E, Lydersen S, Romundstad S, Kvenild K, Orth SR (2009) Combining HaGFR and albuminuria to classify CKD improves prediction in ESRD. J Am Soc Nephrol 20:1069–1077

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. Peralta CA, Shlipak MG, Judd S et al (2011) Detection of chronic kidney disease with creatinine, Cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality. JAMA 305:1545–1552

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  30. Rodrigo E, Ruiz JC, Fernandez-Fresnedo G, Fernandez MD, Pinera C, Palomar R, Monfa E, Gomez-Alamillo C, Arias M (2013) Cystatin C and albuminuria as predictors of long-term allograft outcomes in kidney transplant recipients. Clin Transplant 27:E177–E183

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by Grant No. 175089, from the Ministry of Education, Science and Technological Development of Serbia.

Conflict of interest

Authors have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Visnja Lezaic.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lezaic, V., Dajak, M., Radivojevic, D. et al. Cystatin C and serum creatinine as predictors of kidney graft outcome. Int Urol Nephrol 46, 1447–1454 (2014). https://doi.org/10.1007/s11255-013-0624-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11255-013-0624-7

Keywords

Navigation