Evaluation of cystatin C-derived glomerular filtration rate equations in Chinese population

ABTRACT

Glomerular filtration rate (GFR) has become the best indicator for assessing renal function. This study aims to validate the existing cystatin C (CysC)-derived estimated glomerular filtration rate (eGFR) equations in Chinese patients to explore whether the reported CysC-derived eGFR formulas could be applied to the Chinese population. This study validated the equations in a population totaling 1816 inpatients. We calculated eGFR by different CysC-derived equations, then compared with the mGFR. Equation performance was assessed by bias (mean difference between mGFR and eGFR), precision (inter-quartile range of difference) and accuracy (mainly, accuracy within 30% [P₃₀]). All equations expressed poor performance in dialysis patients (n = 345), and the performance for non-dialysis patients (n = 1471) were significantly greater than that in dialysis patients. Feng and Pei equations had higher P₃₀ (50.82% and 49.73%, respectively) than the widely used CKD-EPI_CysC (41.10%) and MacIsaac equations (48.23%), and the distribution of eGFR values is more similar to the distribution of mGFR in non-dialysis patients. Similar trends showed in mGFR, sex, age, and BMI subgroups. However, no equation met the guideline standard of P₃₀ ≥ 75%. Our results suggest that the published CysC-based eGFR equations are not suitable for dialysis patients, and the accuracy of equations for non-dialysis patients significantly better than the dialysis ones. Moreover, Feng and Pei equation showed better performance in non-dialysis patients.

Keywords:

• Cystatin C
• glomerular filtration rate
• kidney disease
• kidney function
• dialysis

Disclosure statement

No potential conflict of interest was reported by the authors.

Ethical approval

Ethical approval for this investigation was obtained from The IRB of Third Xiangya Hospital, Central South University (No. 2017-S292).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China under Grant No. [81773822 and 81973400]; the Fundamental Research Funds for the Central Universities of Central South University under Grant No. [2019zzts828].