Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Diabetic status and the performances of creatinine- and cystatin C–based eGFR equations

Delanaye, Pierre ; Björk, Jonas LU orcid ; Vidal-Petiot, Emmanuelle ; Flamant, Martin ; Ebert, Natalie ; Schaeffner, Elke ; Grubb, Anders LU orcid ; Christensson, Anders LU ; Nyman, Ulf LU and Stehlé, Thomas , et al. (2025) In Nephrology Dialysis Transplantation 40(3). p.516-523
Abstract
Background. The estimation of glomerular filtration rate (GFR) is one tool to detect renal disease. The most used biomarker remains serum creatinine and the European Kidney Function Consortium (EKFCcrea ) equation is the most validated in Europe. More recently, cystatin C has been proposed as a biomarker. We studied the performances of the EKFC equations in a large cohort of subjects according to their diabetic status. Methods. Four cohorts from the EKFC dataset were retrospectively considered in which the diabetic status was available. GFR was measured by plasma clearances (mGFR; iohexol or chromium 51–ethylenediaminetetraacetic acid). The performance of the equations was assessed by calculating bias, precision [interquartile range (IQR)]... (More)
Background. The estimation of glomerular filtration rate (GFR) is one tool to detect renal disease. The most used biomarker remains serum creatinine and the European Kidney Function Consortium (EKFCcrea ) equation is the most validated in Europe. More recently, cystatin C has been proposed as a biomarker. We studied the performances of the EKFC equations in a large cohort of subjects according to their diabetic status. Methods. Four cohorts from the EKFC dataset were retrospectively considered in which the diabetic status was available. GFR was measured by plasma clearances (mGFR; iohexol or chromium 51–ethylenediaminetetraacetic acid). The performance of the equations was assessed by calculating bias, precision [interquartile range (IQR)] and P30 (percentage of eGFR values within ±30% of mGFR). Results. In the whole population ( N = 6158), the median age was 61 years (IQR 47–72) and 45.8% were women. The mean mGFR was 60 ml/min/1.73 m2 (IQR 39–82). Compared with non-diabetic individuals ( n = 5124), diabetic patients ( n = 1034) were older, more frequently male, heavier and had lower mGFR. The performance of the EKFCcys equation was similar to that of the EKFCcrea equation, but the EKFCcrea + cys equation had a better P30 than the single-biomarker equations. P30 values were substantially lower in diabetic patients than in non-diabetic patients, but according to a matched analysis, this is mainly explained by the difference in GFR levels between the two populations, not by diabetic status. Conclusion. We showed that the equation combining creatinine and cystatin C performed better. If the accuracy of equations seems better in non-diabetic than in diabetic individuals, it is more likely due to differences in GFR levels rather than diabetic status. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Nephrology Dialysis Transplantation
volume
40
issue
3
pages
516 - 523
publisher
Oxford University Press
external identifiers
  • pmid:39013610
  • scopus:86000182243
ISSN
1460-2385
DOI
10.1093/ndt/gfae161
language
English
LU publication?
yes
id
4ada090d-17c6-4ece-a1c7-5787fc6f4631
date added to LUP
2025-02-28 17:10:27
date last changed
2025-06-19 10:30:56
@article{4ada090d-17c6-4ece-a1c7-5787fc6f4631,
  abstract     = {{Background. The estimation of glomerular filtration rate (GFR) is one tool to detect renal disease. The most used biomarker remains serum creatinine and the European Kidney Function Consortium (EKFCcrea ) equation is the most validated in Europe. More recently, cystatin C has been proposed as a biomarker. We studied the performances of the EKFC equations in a large cohort of subjects according to their diabetic status. Methods. Four cohorts from the EKFC dataset were retrospectively considered in which the diabetic status was available. GFR was measured by plasma clearances (mGFR; iohexol or chromium 51–ethylenediaminetetraacetic acid). The performance of the equations was assessed by calculating bias, precision [interquartile range (IQR)] and P30 (percentage of eGFR values within ±30% of mGFR). Results. In the whole population ( N = 6158), the median age was 61 years (IQR 47–72) and 45.8% were women. The mean mGFR was 60 ml/min/1.73 m2 (IQR 39–82). Compared with non-diabetic individuals ( n = 5124), diabetic patients ( n = 1034) were older, more frequently male, heavier and had lower mGFR. The performance of the EKFCcys equation was similar to that of the EKFCcrea equation, but the EKFCcrea + cys equation had a better P30 than the single-biomarker equations. P30 values were substantially lower in diabetic patients than in non-diabetic patients, but according to a matched analysis, this is mainly explained by the difference in GFR levels between the two populations, not by diabetic status. Conclusion. We showed that the equation combining creatinine and cystatin C performed better. If the accuracy of equations seems better in non-diabetic than in diabetic individuals, it is more likely due to differences in GFR levels rather than diabetic status.}},
  author       = {{Delanaye, Pierre and Björk, Jonas and Vidal-Petiot, Emmanuelle and Flamant, Martin and Ebert, Natalie and Schaeffner, Elke and Grubb, Anders and Christensson, Anders and Nyman, Ulf and Stehlé, Thomas and Pottel, Hans}},
  issn         = {{1460-2385}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{516--523}},
  publisher    = {{Oxford University Press}},
  series       = {{Nephrology Dialysis Transplantation}},
  title        = {{Diabetic status and the performances of creatinine- and cystatin C–based eGFR equations}},
  url          = {{http://dx.doi.org/10.1093/ndt/gfae161}},
  doi          = {{10.1093/ndt/gfae161}},
  volume       = {{40}},
  year         = {{2025}},
}