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. 2022 Mar 2:9:810901.
doi: 10.3389/fmed.2022.810901. eCollection 2022.

Changes in Mortality According to Creatinine/Cystatin C Ratio in Chronic Kidney Disease and Non-chronic Kidney Disease Patients

Affiliations

Changes in Mortality According to Creatinine/Cystatin C Ratio in Chronic Kidney Disease and Non-chronic Kidney Disease Patients

Jeong Ah Hwang et al. Front Med (Lausanne). .

Abstract

Background: Serum creatinine and cystatin C are not only good indicators of renal function but have also been confirmed to be related to disease prognosis and mortality in various diseases via creatinine/cystatin C ratio (CCR). However, although they are biomarkers of renal function, there is no study regarding renal impairment as a confounding variable in the relationship between CCR and all-cause mortality.

Methods: Patients who had simultaneous measurements of serum creatinine and cystatin C between 2003 and 2020 were enrolled. The patients with chronic kidney disease (CKD) were defined as having an estimated glomerular filtration rate (eGFR) CKD-EPI Cr-Cystatin C < 60 ml/min/1.73 m2. CCR was calculated by dividing the serum creatinine level by the cystatin C level measured on the same day. The main outcome assessed was all-cause mortality according to CCR in CKD or non-CKD groups.

Results: Among the 8,680 patients in whom creatinine and cystatin C levels were measured simultaneously, 4,301 were included in the CKD group, and 4,379 were included in the non-CKD group, respectively. CCR was 1.4 ± 0.6 in total participants. The non-CKD group showed higher mean CCR, (1.5 ± 0.7 vs. 1.3 ± 0.5) as well as a wider distribution of CCR (p < 0.001) when compared to the CKD group. In non-CKD group, 1st, 4th and 5th quintiles of CCR significantly increased the all-cause mortality risk compared to 2nd quintile of CCR, suggesting U-shaped mortality risk according to CCR in non-CKD. On the other hand, in CKD group, the risk of all-cause mortality linearly increased and 5th quintile of CCR showed 1.82 times risk of mortality compared to 2nd quintile of CCR. In the subgroup analysis of mortality by age and sex, the mortality difference according to CCR were diminished in old age and female sex subgroups.

Conclusion: We discovered a U-shaped relationship between mortality and CCR levels in normal renal function, and an increased risk of mortality in CKD with elevated CCR.

Keywords: creatinine; creatinine/cystatin C ratio; cystatin C; mortality; renal dysfunction.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Density plot (A) and Q-plot (B) for the distribution of CCR between CKD and non-CKD participants.
Figure 2
Figure 2
Cubic spline curves for all-cause mortality in non-CKD (A) and CKD (B) participants. Solid curves represent the hazard ratio for all-cause mortality, and dashed lines represent the upper and lower confidence interval of the hazard ratio.

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References

    1. Kar S, Paglialunga S, Islam R. Cystatin C Is a more reliable biomarker for determining eGFR to support drug development studies. J Clin Pharmacol. (2018) 58:1239–47. 10.1002/jcph.1132 - DOI - PubMed
    1. Onopiuk A, Tokarzewicz A, Gorodkiewicz E. Cystatin C: a kidney function biomarker. Adv Clin Chem. (2015) 68:57–69. 10.1016/bs.acc.2014.11.007 - DOI - PubMed
    1. Froissart M, Rossert J, Jacquot C, Paillard M, Houillier P. Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. J Am Soc Nephrol. (2005) 16:763–73. 10.1681/ASN.2004070549 - DOI - PubMed
    1. Hotamisligil GS. Inflammation and metabolic disorders. Nature. (2006) 444:860–7. 10.1038/nature05485 - DOI - PubMed
    1. Barr EL, Maple-Brown LJ, Barzi F, Hughes JT, Jerums G, Ekinci EI, et al. . Comparison of creatinine and cystatin C based eGFR in the estimation of glomerular filtration rate in Indigenous Australians: The eGFR Study. Clin Biochem. (2017) 50:301–8. 10.1016/j.clinbiochem.2016.11.024 - DOI - PubMed