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Jung, Lee, and Kwon: Comparison of serum cystatin C and creatinine as a marker for early detection of decreasing glomerular filtration rate in renal transplants
Original Article
Journal of the Korean Surgical Society

Journal of the Korean Surgical Society 2012; 83(2): 69-74.

Published online: 25 July 2012

DOI: https://doi.org/10.4174/jkss.2012.83.2.69

Comparison of serum cystatin C and creatinine as a marker for early detection of decreasing glomerular filtration rate in renal transplants

Young Jae Jung, Hyang Ran Lee, Oh Jung Kwon

Department of Surgery, Hanyang University College of Medicine, Seoul, Korea.

Correspondence to: Oh Jung Kwon. Department of Surgery, Hanyang University Seoul Hospital, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea. Tel: +82-2-2290-8444, Fax: +82-2-2281-0224, ojkwon@hanyang.ac.kr

Received 4 October 2011       Revised 15 April 2012       Accepted 22 April 2012

Copyright © 2012, the Korean Surgical Society

(open-access):

Journal of the Korean Surgical Society is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

We wished to compare the clinical effectiveness of cystatin C (CyC) and serum creatinine (sCr) to assess renal function in renal transplantation patients.

Methods

We compared the clinical effectiveness of CyC with that of the sCr to estimate 24-hour urine creatinine clearance (CrCl) in 72 adult recipients who underwent renal transplantation from January 2001 to December 2008. We analyzed the data in terms of accuracy, bias, precision and sensitivity as a function of length of time posttransplantation and CrCl value.

Results

The patients were divided into four groups according to CrCl value <30, <60, <90, and ≥90 mL/min/1.73 m2. The corresponding Cr-based glomerular filtration rate (GFR) estimates had accuracies of 0.71, 0.906, 0.963, and 1.00 within 50% of the reference, with biases (mean percentage errors) of 4.7, 5.32, -5.79, -31.33 mL/min/1.73 m2, and precisions (mean absolute percentage errors) of 7.57, 10.03, 14.52, and 31.33 mL/min/1.73 m2, respectively. The CyC-based GFR estimates had accuracies of 0.35, 0.79, 0.93, and 0.67 within 50% of the reference, respectively, with biases of 15.03, 13.37, -5.58, and -34.79 mL/min/1.73 m2 and precisions of 15.03, 14.80, 17.91, and 34.79 mL/min/1.73 m2. The sensitivity for detecting GFR below 60 mL/min/1.73 m2 was higher for CyC (0.96, 1, and 0.95) than for Cr (0.77, 0.75, and 0.82).

Conclusion

CyC is a more sensitive indicator of low GFR (CrCl <60 mL/min/1.73 m2) than sCr. However, CyC-based GFR estimates are restrictive data, and are neither accurate nor specific. Therefore, to evaluate renal function, we may need a revised CyC-based GFR formula and close monitoring of sCr.

Keywords: Kidney transplantation, Creatinine, Cystatin C

INTRODUCTION

Kidney transplantation is the treatment of choice for end stage renal disease, because it improves quality of life, and is more cost-effective than dialysis [1]. Recently, with the development of many new immunosuppressive regimens, the incidence of acute rejection after renal transplantation has declined considerably. However, the rate of chronic rejection has not decreased. It is hard to prevent early graft loss, because one cannot detect defective renal function until serum creatinine (sCr) has risen above baseline [1]. Assessment of renal function is a fundamental aspect of the management of kidney transplant recipients, as well as essential for evaluating living kidney donors.
The most common surrogate of glomerular filtration rate (GFR) is the sCr concentration. However, sCr level has many limitations for evaluating renal function because it is affected by many factors, such as muscle mass and turnover rate, sex, diet, race, liver function, and medications. Furthermore, it yields an inaccurate estimate of GFR because of the effect of tubular secretion, and reabsorption of creatinine, and non-renal factors [1].
Cystatin C (CyC) has been used in clinical research studies for more than 20 years and serum CyC (sCyC) has been introduced into clinical practice as an endogenous marker of GFR [2,3]. However it is not always a reliable marker of renal function, as its synthesis is increased in smokers, patients with hyperthyroidism, and those on glucocorticoid therapy [4]. Nevertheless, according to a recent meta-analysis data and many other studies, CyC may be superior to sCr for detecting of mild impairment of renal function [4-8].
We therefore conducted this study to compare the clinical effectiveness of CyC and sCr for early detection of impaired renal function in renal transplantation patients.

METHODS

Seventy-two adult renal transplant recipients who were operated on and could be followed in our transplantation center were enrolled from 2001 to 2008. The data was collected prospectively and analyzed retrospectively by medical record review. 24-hour urine Cr clearances (CrCl) was measured on preoperation day 1, postoperation day 2, and after 1, and 4 weeks. Blood samples for measurement of sCr were collected on preoperation day 1 and everyday for 2 weeks, and those for measurement of CyC were collected on preoperation day 1, postoperation days 4, and 7, after 2 weeks. After discharge, blood samples and urine samples were checked at monthly, six monthly and yearly intervals. Measurement of CyC started in Hanyang University Hospital from 2005.
sCr was determined with Jaffé's colorimetric method, and CyC with a particle enhanced immunonephelometric immunoassay. The upper reference limits prescribed are 1.2 mg/dL for sCr, 0.94 mg/L for CyC [9].
CrCl was assessed using the 24-hour urine formula:
CrCl = urine creatinine (uCr) × urine volume (UV) / sCr
Cr-based GFR was estimated from the Modification of Diet in Renal Disease II (MDRD II) equation:
GFR estimates (mL/min/1.73 m2) = 186 × (Cr)-1.154 × (age)-0.203 × 0.742 (if female) × 1.212 (if Afro-American)
CyC-based GFR was estimated from the formula of Thierry Le Bricon:
GFR estimates (mL/min/1.73 m2) = 78 × (1/CyC) + 4

Statistics

Data were analyzed with SPSS ver. 13.0 (SPSS Inc., Chicago, IL, USA). Mean values, ranges and standard deviations were calculated and correlation coefficients, accuracy within 30% and 50% of reference, bias, precision, sensitivity and specificity for detecting GFR below 60 mL/min/1.73 m2, were compared.
Then, a sub analysis was performed after stratifying patients according to posttransplantation period (within one month, from one month to one year, and after one year) and CrCl level (<30, <60, <90, ≥90 mL/min/1.73 m2).
Pearson's correlation coefficient was used to define the correlation between 24-hour urine CrCl, the reciprocal of sCr and CyC. Spearman's rank correlation coefficient was used for defining the correlation between 24-hour urine CrCl, sCr, and CyC. Regression levels and coefficient were analyzed by linear regression plot. Accuracy was defined as the percentage of Cr-based GFR and CyC-based GFR, lying within 30 and 50% of the 24-hour urine CrCl value. Bias was defined as the estimated value (Cr-based GFR or CyC-based GFR) minus the true value (24-hour urine CrCl) and precision was defined as the absolute value of the bias. Values of P < 0.05 were considered statistically significant.

RESULTS

A total of 72 renal transplant patients were enrolled in this study. There were 33 (46%) females and 39 (54%) males. The age of patients ranged from 17 to 60 years (median, 44 years). The baseline characteristics of the patients are presented in Table 1.
The mean, median, and range of GFR based on the different prediction equations are shown in Table 2. The mean 24-hour values of urine CrCl, sCr-based GFR, and sCyC-based GFR in our patients were 44.79 mL/min/1.73 m2, 46.53 mL/min/1.73 m2, and 54.21 mL/min/1.73 m2, respectively.
Statistically significant correlations were found between 24-hour urine CrCl and sCr-based GFR (R = 0.763, P < 0.0001), the reciprocal of sCr (R = 0.707, P < 0.0001), sCr (R = -0.709, P < 0.0001), sCyC (R = -0.659, P < 0.0001), the reciprocal of sCyC (R = 0.567, P < 0.0001), and sCyC-based GFR (R = 0.567, P < 0.0001), respectively (Table 3).
Linear regression plots yielded the following correlations with 24-hour urine CrCl: sCr-based GFR (slope = 0.761, R2 = 0.583, P < 0.001), sCyC-based GFR (slope = 0.638, R2 = 0.322, P < 0.001), reciprocal of sCr (slope = 52.263, R2 = 0.499, P < 0.001), and reciprocal of sCyC (slope = 49.725, R2 = 0.322, P < 0.001).
Accuracy was defined as the proportion of values that were within 30% and 50% of the 24-hour urine CrCl. It was estimated after various posttransplant periods, namely <1 month, 1 month to 1 year, and >1 year, and the sCr-based GFR had accuracies of 0.643, 0.611, and 0.685 within 30% of CrCl respectively, at these times and accuracies of 0.876, 0.889, and 0.706 within 50%, respectively at the same times. The sCyC-based GFR values had accuracies of 0.528, 0.5, and 0.492 within 30% of CrCl, respectively, and of 0.694, 1.00, and 0.694 within 50% of CrCl, respectively (Table 4).
The accuracies of sCr-based GFR and sCyC-based GFR within 30% or 50% of CrCL were also stratified according to 24-hour urine CrCl <30, <60, <90, ≥90 mL/min per 1.73 m2. The accuracies of the Cr-based GFR within 30% were 0.477, 0.271, 0.691, and 0.333, respectively, and those within 50% were 0.71, 0.906, 0.963 and 1.00, respectively. Accuracies of CyC-based GFR within 30% were 0.31, 0.605, 0.552, and 0.333 respectively, and those within 50% were 0.346, 0.791, 0.931, and 0.667, respectively (Table 4).
The mean bias (bias = [sCr-based GFR or sCyC-based GFR] - [24-hour urine CrCl]) was calculated according to Bland and Altman. The mean bias of sCr-based GFR was 1.92 ± 14.94 mL/min/1.73 m2 (P < 0.001, t-test). The biases were 0.65, 3.79 and 3.32 mL/min/1.73 m2 within the first month, from the first month to the first year, and after the first year, respectively. Similarly, the mean biases of sCr-based GFR were 4.47, 5.32, -5.79, and -31.33 mL/min/1.73 m2, respectively, and the mean bias of sCyCbased GFR was 6.92 ± 19.7 mL/min/1.73 m2 (P < 0.001, t-test), with biases of 1.25, 6.40, and 10.44 mL/min/1.73 m2 at the three posttransplantation times points. The mean biases of sCyC-based GFR were 15.03, 13.37, -5.58, and -34.79, respectively.
The mean precision (absolute value of bias) between sCr-based GFR and 24-hour urine CrCl was 10.78 ± 10.5 mL/min/1.73 m2, and 10.69, 10.00, and 11.11 mL/min/1.73 m2, respectively, at the three posttransplantation times points. Based on 24-hour urine CrCl levels, the biases of sCr-based GFR values were 7.57, 10.03, 14.52, and 31.33, respectively. The mean precision was 16.35 ± 12.96 mL/min/1.73 m2 (P < 0.001, t-test), with precisions of 17.17, 8.34, and 16.66 mL/min/1.73 m2 at the three posttransplantation times, respectively, and the mean bias of sCyC-based GFR were 15.03, 14.80, 17.91, and 34.79, respectively.
The sensitivities for detecting a GFR below 60 mL/min/1.73 m2 were higher for CyC (0.96, 1, and 0.95) than for sCr (0.77, 0.75, and 0.82) (P = 0.0165, P = 0.3985, and P = 0.0350). But the specificities for detecting a GFR below 60 mL/min/1.73 m2 were higher for sCr (0.57, 0.5, and 0.56) than for sCyC (0.19, 0.5, and 0.25) (P = 0.0001, P = 0.6592, and P = 0.0002).

DISCUSSION

The accurate detection of changes of GFR to prevent further damage to the graft may be most important in those kidney transplantation patients with the least progressive graft damage.
Both sCr and CyC are widely used as markers for measuring GFR. Many studies have indicated that CyC is superior to sCr as a GFR marker, especially in patients with early and moderate reductions of GFR [5-8]. However, it is very important to understand the advantages and limitations of these markers in clinical practice.
We compared sCr, CyC, Cr-based GFR (MDRD-II formula) and CyC-based GFR (Thierry Le Bricon's formula) with 24-hour urine CrCl. We assume that 24-hour urine CrCl reflects closely the true GFR. However it has many limitations because it is based on sCr, uCr and UV, and sCr is underestimated due to free filtration by the proximal tubules while uCr is overestimated. Because of the different ways of measuring sCr, as well as patient urine collection errors such as, incomplete bladder emptying, and high coefficients of variation in uCr excretion etc, 24-hour urine CrCl tends to overestimate GFR both in transplant patients and the general populations [10-12].
Therefore, 24-hour urine CrCl has fallen into disfavor and may not provide more accurate information about kidney function than other Cr-based methods. However, it remains the preferred method of assessing GFR for evaluating kidney function in prospective kidney donors. Hence, one should bear in mind that GFR measured by 24-hour urine CrCl may be an overestimate of the true GFR [10-12].
This study has main findings: first, in terms of mean and bias, Cr-based GFR (MDRD-II formula), and CyC-based GFR (Thierry Le Bricon's formula) were underestimated at CrCl ≥ 60 mL/min/1.73 m2, and overestimated at CrCl < 60 mL/min/1.73 m2.
The reason why the Cr-based GFR is overestimated at CrCl < 60 mL/min/1.73 m2 is that 16 to 66% of sCr is eliminated extraglomerularly, depending on the extent of GFR reduction. Tubular secretion and intestinal elimination appear to reach their maximum levels when GFR falls to ≤15 mL/min/1.73 m2. Hence when, real GFR falls, sCr may increase less than expected and Cr-based GFR would be overestimated.
In chronic renal disease, the sCr increase is only 30 to 50% of what would be expected from the prevailing GFR. Therefore, monitoring GFR is very important when CrCl is < 60 mL/min/1.73 m2 [13]. In other words, the tendency of Cr-based GFR and CyC-based GFR to be underestimated when 60 ≤ CrCl < 90 mL/min/1.73 m2 can make early detection of decreasing GFR difficult, and it appears to lead to overestimation of the prevalence of chronic kidney disease in the general population [14].
Second, we found better correlation, accuracy, precision, and less bias when using the Cr-based equation than the CyC-based equation. However, the sensitivity for detecting a GFR below 60 mL/min/1.73 m2 was higher when CyC was used than when sCr was used.
Because Cr-based GFR formulae and 24-hour urine CrCl formulae frequently use reciprocal Cr as the variable, Cr-based GFR values are more highly correlated and are more accurate and precise, than 24-hour urine CrCl, itself and have less bias. Therefore, the development of another CyC-based GFR formula may be needed to yield measures of GFR closer to actual GFR measurements.
There have been several studies comparing the accuracy of CyC with that of sCr. Li et al. [15] reported that CyC-based GFR yielded less accurate results than the MDRD formula, in diabetic patients. Whereas, Sterner et al. [16], Yeo et al. [17], and Gourishankar et al. [18] reported that CyC-based GFR was as accurate as Cr-based GFR.
The sensitivity of CyC for early detection of decreasing GFR observed in our study is clinically relevant in the light of previous research evaluating renal function. For instance, Hojs et al. [3], Kyhse-Andersen et al. [19], El-Shafey et al. [20], Xu et al. [21], Thomas and Thomas [4], Yashiro et al. [6], Mojiminiyi and Abdella [22], Maillard et al. [23], and Qutb et al. [8] all found that the diagnostic accuracy of CyC for reduced GFR was superior to that of sCr based on ROC curves. El-Shafey et al. [20] reported that CyC was more sensitive than Cr for detecting early and moderate deterioration of GFR in adult renal transplant recipients and in patients with type 2 diabetes mellitus and renal impairment. A meta-analysis of 24 studies examining the clinical utility of CyC revealed that CyC was superior to sCr for detecting impaired GFR [5].
In conclusion, CyC is a more sensitive indicator of low GFR than sCr (CrCl < 60 mL/min/1.73 m2). However CyC-based GFR is restrictive data, and is neither accurate nor specific for detecting CrCl. Therefore, to evaluate renal function after renal transplantation more accurately, we may need a new CyC-based GFR formula and close monitoring of sCr.

Figures and Tables

Table 1
Patient characteristics
jkss-83-69-i001

Values are presented as median (range) or number (%).

Table 2
Measured and estimated GFR of paired Cr, CyC, and CrCl samples
jkss-83-69-i002

GFR, glomerular filtration rate; Cr, creatinine; CyC, cystatin C; CrCl, creatinine clearance.

a)Values are presented as mL/min/1.73 m2, b)mg/dL, c)mg/L.

Table 3
Correlation coefficient with 24-hour urine CrCla)
jkss-83-69-i003

CrCl, creatinine clearance; Cr, creatinine; CyC, cystatin C; GFR, glomerular filtration rate.

a)Values are presented as mL/min/1.73 m2. b)Spearman's rank correlation coefficient test. c)Pearson's correlation coefficient test.

Table 4
Accuracy of Cr-based GFR and CyC-based GFR, within 30% and 50% of 24-hour urine CrCla)
jkss-83-69-i004

Cr, creatinine; GFR, glomerular filtration rate; CyC, cystatin C; CrCl, creatinine clearance.

a)Values are presented as mL/min/1.73 m2.

Notes

No potential conflict of interest relevant to this article was reported.

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