Jessica van der Weijden, Daan Kremer, Lisa B Westenberg, Jan-Stephan F Sanders, Robert A Pol, Ilja M Nolte, Martin H De Borst, Stefan P Berger, Stephan J L Bakker, Marco van Londen
{"title":"捐献前评估胱抑素 C 以改进对潜在活体肾脏捐献者捐献前和捐献后 GFR 的预测。","authors":"Jessica van der Weijden, Daan Kremer, Lisa B Westenberg, Jan-Stephan F Sanders, Robert A Pol, Ilja M Nolte, Martin H De Borst, Stefan P Berger, Stephan J L Bakker, Marco van Londen","doi":"10.1093/ndt/gfae065","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Accurate estimation of glomerular filtration rate (GFR) is crucial in living kidney donation. While most estimated GFR (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.</p><p><strong>Methods: </strong>We assessed the performance of Chronic Kidney Disease Epidemiology Collaboration equations based on creatinine (eGFRcreat-2009, eGFRcreat-2021), cysC (eGFRCysC-2012) or both (eGFRcombined-2012, eGFRcombined-2021) for estimating pre- and post-donation (mGFR) 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).</p><p><strong>Results: </strong>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/1.73 m2) 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 with equations based on only creatinine.</p><p><strong>Conclusions: </strong>Combined eGFR equations yielded a better estimate of pre- and post-donation mGFR compared with estimates based on creatinine or cysC only. The added value of cysC seems particularly pronounced in donors with high or low muscle mass.</p>","PeriodicalId":19078,"journal":{"name":"Nephrology Dialysis Transplantation","volume":" ","pages":"1856-1866"},"PeriodicalIF":4.8000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pre-donation assessment of cystatin C to improve prediction of pre- and post-donation GFR in potential living kidney donors.\",\"authors\":\"Jessica van der Weijden, Daan Kremer, Lisa B Westenberg, Jan-Stephan F Sanders, Robert A Pol, Ilja M Nolte, Martin H De Borst, Stefan P Berger, Stephan J L Bakker, Marco van Londen\",\"doi\":\"10.1093/ndt/gfae065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Accurate estimation of glomerular filtration rate (GFR) is crucial in living kidney donation. While most estimated GFR (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.</p><p><strong>Methods: </strong>We assessed the performance of Chronic Kidney Disease Epidemiology Collaboration equations based on creatinine (eGFRcreat-2009, eGFRcreat-2021), cysC (eGFRCysC-2012) or both (eGFRcombined-2012, eGFRcombined-2021) for estimating pre- and post-donation (mGFR) 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).</p><p><strong>Results: </strong>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/1.73 m2) 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 with equations based on only creatinine.</p><p><strong>Conclusions: </strong>Combined eGFR equations yielded a better estimate of pre- and post-donation mGFR compared with estimates based on creatinine or cysC only. The added value of cysC seems particularly pronounced in donors with high or low muscle mass.</p>\",\"PeriodicalId\":19078,\"journal\":{\"name\":\"Nephrology Dialysis Transplantation\",\"volume\":\" \",\"pages\":\"1856-1866\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nephrology Dialysis Transplantation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ndt/gfae065\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TRANSPLANTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nephrology Dialysis Transplantation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ndt/gfae065","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPLANTATION","Score":null,"Total":0}
Pre-donation assessment of cystatin C to improve prediction of pre- and post-donation GFR in potential living kidney donors.
Background: Accurate estimation of glomerular filtration rate (GFR) is crucial in living kidney donation. While most estimated GFR (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 Chronic Kidney Disease Epidemiology Collaboration equations based on creatinine (eGFRcreat-2009, eGFRcreat-2021), cysC (eGFRCysC-2012) or both (eGFRcombined-2012, eGFRcombined-2021) for estimating pre- and post-donation (mGFR) 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/1.73 m2) 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 with equations based on only creatinine.
Conclusions: Combined eGFR equations yielded a better estimate of pre- and post-donation mGFR compared with estimates based on creatinine or cysC only. The added value of cysC seems particularly pronounced in donors with high or low muscle mass.
期刊介绍:
Nephrology Dialysis Transplantation (ndt) is the leading nephrology journal in Europe and renowned worldwide, devoted to original clinical and laboratory research in nephrology, dialysis and transplantation. ndt is an official journal of the [ERA-EDTA](http://www.era-edta.org/) (European Renal Association-European Dialysis and Transplant Association). Published monthly, the journal provides an essential resource for researchers and clinicians throughout the world. All research articles in this journal have undergone peer review.
Print ISSN: 0931-0509.