Pre-donation Assessment of Cystatin C to Improve Prediction of Pre- and Post-Donation GFR in Potential Living Kidney Donors
© The Author(s) 2024. Published by Oxford University Press on behalf of the ERA..
BACKGROUND AND HYPOTHESIS: Accurate estimation of glomerular filtration rate (GFR) is crucial in living kidney donation. While most eGFR equations are based on plasma creatinine, its levels are strongly influenced by muscle mass. Application of cystatin C (CysC)-based estimates before donation may improve both estimation of current GFR and prediction of post-donation GFR.
METHODS: We assessed the performance of CKD-EPI equations based on creatinine (eGFRcreat-2009, eGFRcreat-2021), cystatin C (eGFRCysC-2012), or both (eGFRcombined-2012, eGFRcombined-2021) for estimating pre- and post-donation measured GFR in 486 living kidney donors. We subsequently focused on a subgroup of individuals with high/low muscle mass (25% highest/lowest 24-hour urinary creatinine excretion, sex-stratified and height-indexed).
RESULTS: Pre-donation eGFRcombined 2012 and eGFRcombined 2021 showed the strongest associations with pre- and post-donation mGFR. Pre-donation eGFRcombined 2021 was most accurate for estimating both pre-donation (bias 0.01±11.9 mL/min/1.73m2) and post-donation mGFR (bias 1.3±8.5 mL/min/1.73 m2). In donors with high/low muscle mass, CysC-based equations (with or without creatinine) performed better compared to equations based on only creatinine.
CONCLUSIONS: In conclusion, combined eGFR equations yielded a better estimate of pre- and post-donation mGFR, compared to estimates based on creatinine or CysC only. The added value of CysC seems particularly pronounced in donors with high or low muscle mass.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
---|---|
Enthalten in: |
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association - (2024) vom: 13. März |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
van der Weijden, Jessica [VerfasserIn] |
---|
Links: |
---|
Themen: |
Cystatin C |
---|
Anmerkungen: |
Date Revised 13.03.2024 published: Print-Electronic Citation Status Publisher |
---|
doi: |
10.1093/ndt/gfae065 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM369694821 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM369694821 | ||
003 | DE-627 | ||
005 | 20240315000256.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240315s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1093/ndt/gfae065 |2 doi | |
028 | 5 | 2 | |a pubmed24n1329.xml |
035 | |a (DE-627)NLM369694821 | ||
035 | |a (NLM)38479785 | ||
035 | |a (PII)gfae065 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a van der Weijden, Jessica |e verfasserin |4 aut | |
245 | 1 | 0 | |a Pre-donation Assessment of Cystatin C to Improve Prediction of Pre- and Post-Donation GFR in Potential Living Kidney Donors |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 13.03.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status Publisher | ||
520 | |a © The Author(s) 2024. Published by Oxford University Press on behalf of the ERA. | ||
520 | |a BACKGROUND AND HYPOTHESIS: Accurate estimation of glomerular filtration rate (GFR) is crucial in living kidney donation. While most eGFR equations are based on plasma creatinine, its levels are strongly influenced by muscle mass. Application of cystatin C (CysC)-based estimates before donation may improve both estimation of current GFR and prediction of post-donation GFR | ||
520 | |a METHODS: We assessed the performance of CKD-EPI equations based on creatinine (eGFRcreat-2009, eGFRcreat-2021), cystatin C (eGFRCysC-2012), or both (eGFRcombined-2012, eGFRcombined-2021) for estimating pre- and post-donation measured GFR in 486 living kidney donors. We subsequently focused on a subgroup of individuals with high/low muscle mass (25% highest/lowest 24-hour urinary creatinine excretion, sex-stratified and height-indexed) | ||
520 | |a RESULTS: Pre-donation eGFRcombined 2012 and eGFRcombined 2021 showed the strongest associations with pre- and post-donation mGFR. Pre-donation eGFRcombined 2021 was most accurate for estimating both pre-donation (bias 0.01±11.9 mL/min/1.73m2) and post-donation mGFR (bias 1.3±8.5 mL/min/1.73 m2). In donors with high/low muscle mass, CysC-based equations (with or without creatinine) performed better compared to equations based on only creatinine | ||
520 | |a CONCLUSIONS: In conclusion, combined eGFR equations yielded a better estimate of pre- and post-donation mGFR, compared to estimates based on creatinine or CysC only. The added value of CysC seems particularly pronounced in donors with high or low muscle mass | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a cystatin C | |
650 | 4 | |a glomerular filtration rate | |
650 | 4 | |a living kidney donation | |
650 | 4 | |a muscle mass | |
650 | 4 | |a post-donation GFR | |
700 | 1 | |a Kremer, Daan |e verfasserin |4 aut | |
700 | 1 | |a Westenberg, Lisa B |e verfasserin |4 aut | |
700 | 1 | |a Sanders, Jan-Stephan F |e verfasserin |4 aut | |
700 | 1 | |a Pol, Robert A |e verfasserin |4 aut | |
700 | 1 | |a Nolte, Ilja M |e verfasserin |4 aut | |
700 | 1 | |a De Borst, Martin H |e verfasserin |4 aut | |
700 | 1 | |a Berger, Stefan P |e verfasserin |4 aut | |
700 | 1 | |a Bakker, Stephan J L |e verfasserin |4 aut | |
700 | 1 | |a van Londen, Marco |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association |d 1990 |g (2024) vom: 13. März |w (DE-627)NLM012639206 |x 1460-2385 |7 nnns |
773 | 1 | 8 | |g year:2024 |g day:13 |g month:03 |
856 | 4 | 0 | |u http://dx.doi.org/10.1093/ndt/gfae065 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |j 2024 |b 13 |c 03 |