1
|
Delanaye P, Pottel H, Cavalier E, Flamant M, Stehlé T, Mariat C. Diagnostic standard: assessing glomerular filtration rate. Nephrol Dial Transplant 2024; 39:1088-1096. [PMID: 37950562 DOI: 10.1093/ndt/gfad241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Indexed: 11/12/2023] Open
Abstract
Creatinine-based estimated glomerular filtration rate (eGFR) is imprecise at individual level, due to non-GFR-related serum creatinine determinants, including atypical muscle mass. Cystatin C has the advantage of being independent of muscle mass, a feature that led to the development of race- and sex-free equations. Yet, cystatin C-based equations do not perform better than creatinine-based equations for estimating GFR unless both variables are included together. The new race-free Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation had slight opposite biases between Black and non-Black subjects in the USA, but has poorer performance than that the previous version in European populations. The European Kidney Function Consortium (EKFC) equation developed in 2021 can be used in both children and adults, is more accurate in young and old adults, and is applicable to non-white European populations, by rescaling the Q factor, i.e. population median creatinine, in a potentially universal way. A sex- and race-free cystatin C-based EKFC, with the same mathematical design, has also be defined. New developments in the field of GFR estimation would be standardization of cystatin C assays, development of creatinine-based eGFR equations that incorporate muscle mass data, implementation of new endogenous biomarkers and the use of artificial intelligence. Standardization of different GFR measurement methods would also be a future challenge, as well as new technologies for measuring GFR. Future research is also needed into discrepancies between cystatin C and creatinine, which is associated with high risk of adverse events: we need to standardize the definition of discrepancy and understand its determinants.
Collapse
Affiliation(s)
- Pierre Delanaye
- Department of Nephrology-Dialysis-Transplantation, University of Liège (ULiege), CHU Sart Tilman, Liège, Belgium
- Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France
| | - Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liège (ULiege), CHU Sart Tilman, Liège, Belgium
| | - Martin Flamant
- Assistance Publique-Hôpitaux de Paris, Bichat Hospital, and Université Paris Cité, UMR 1149, Paris, France
| | - Thomas Stehlé
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Fédération Hospitalo-Universitaire « Innovative therapy for immune disorders », Créteil, France
| | - Christophe Mariat
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| |
Collapse
|
2
|
Akbari A, El Wadia H, Knoll GA, White CA, Sood MM, Massicotte-Azarniouch D, McCudden C, Deschenes MJ, Salman M, Ramsay T, Hundemer GL. Comparison of eGFR Equations to Guide Dosing of Medications for Kidney Transplant Recipients. Transplantation 2024:00007890-990000000-00778. [PMID: 38831493 DOI: 10.1097/tp.0000000000005098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
BACKGROUND Clinicians caring for kidney transplant recipients (KTRs) most commonly use estimated glomerular filtration rate (eGFR) to guide medication dosing as it is the most readily available measure of kidney function. Which eGFR equations provide the most accurate medication dosing guidance for KTRs remains uncertain. METHODS We studied 415 stable KTRs in Canada and New Zealand. Participants completed same-day measurements of creatinine and cystatin C and measured GFR (diethylenetriaminepentaacetic acid). Chronic Kidney Disease Epidemiology Collaboration, European Kidney Function Consortium, and transplant-specific eGFR equations were compared with both Cockcroft-Gault creatinine clearance (CrCl) and measured GFR. eGFR equations were assessed both indexed to a standardized body surface area (BSA) of 1.73 m2 (milliliter per minute per 1.73 m2, as is conventional reporting from most clinical laboratories) and nonindexed (milliliter per minute) accounting for actual BSA. The primary outcome was the proportion of medication dosing discordance relative to Cockcroft-Gault CrCl or measured GFR for 8 commonly prescribed medications. Stratified analyses were performed on the basis of obesity status. RESULTS Nonindexed eGFR equations (milliliter per minute) resulted in substantially lower medication dosing discordance compared with indexed eGFR equations (milliliter per minute per 1.73 m2). These findings were most pronounced among KTRs with obesity, in whom underdosing was frequent. When compared with Cockcroft-Gault CrCl, the lowest proportion of discordance was found with the nonindexed 2023 transplant-specific equation. When compared with measured GFR, the lowest proportion of discordance was found with the nonindexed 2021 Chronic Kidney Disease Epidemiology CollaborationCr/CysC equation. CONCLUSIONS Nonindexed eGFR values accounting for actual BSA should be used by clinicians for medication dosing in KTRs. These findings may inform KT providers about which eGFR equations provide the safest, most accurate medication dosing guidance for KTRs.
Collapse
Affiliation(s)
- Ayub Akbari
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Hajar El Wadia
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Greg A Knoll
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Christine A White
- Division of Nephrology, Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Manish M Sood
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - David Massicotte-Azarniouch
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Christopher McCudden
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Marie-Josee Deschenes
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Maria Salman
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Tim Ramsay
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Gregory L Hundemer
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| |
Collapse
|
3
|
Grosyeux C, Alla A, Barbé F, Dubourg LD, Chardon L, Guéant JL, Frimat L, Oussalah A, Vrillon I. The EKFC equation outperforms the CKD-EPI and CKiD equations for GFR estimation in adolescent and young adult kidney transplant patients. Nephrology (Carlton) 2024. [PMID: 38803085 DOI: 10.1111/nep.14328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/28/2024] [Accepted: 05/17/2024] [Indexed: 05/29/2024]
Abstract
AIM This study evaluated the bias and accuracy of the CKD-EPI/CKiD and EKFC equations compared with the reference exogenous tracer-based assessment of glomerular filtration rate (GFR) in adult and pediatric patients according to their renal transplant status. METHODS We assessed the bias and P30 accuracy of the CKD-EPI/CKiD and EKFC equations compared with iohexol-based GFR measurement. RESULTS In the overall population (n = 59), the median age was 29 years (IQR, 16.0-46.0) and the median measured GFR was 73.9 mL/min/1.73m2 (IQR, 57.3-84.6). Among non-kidney transplant patients, the median was 77.7 mL/min/1.73m2 (IQR, 59.3-86.5), while among kidney transplant patients, it was 60.5 mL/min/1.73m2 (IQR, 54.2-66.8). The bias associated with the EKFC and CKD-EPI/CKiD equations was significantly higher among kidney transplant patients than among non-kidney transplant patients, with a difference between medians (Hodges-Lehmann) of +10.4 mL/min/1.73m2 (95% CI, 2.2-18.9; p = .02) for the EKFC and +12.1 mL/min/1.73m2 (95% CI, 4.2-21.4; p = .006) for the CKD-EPI/CKiD equations. In multivariable analysis, kidney transplant status emerged as an independent factor associated with a bias of >3.4 mL/min/1.73m2 (odds ratio, 7.7; 95% CI, 1.4-43.3; p = .02) for the EKFC equation and a bias of >13.4 mL/min/1.73m2 (odds ratio, 15.0; 95% CI, 2.6-85.7; p = .002) for the CKD-EPI/CKiD equations. CONCLUSION In our study, which included adolescent and young adult kidney transplant patients, both the CKD-EPI/CKiD and EKFC equations tended to overestimate the measured glomerular filtration rate, with the EKFC equation exhibiting less bias. Renal transplant status significantly influenced the degree of estimation bias.
Collapse
Affiliation(s)
- Chloé Grosyeux
- Pediatric Nephrology Department, University Hospital of Nancy, Nancy, France
| | - Asma Alla
- Department of Nephrology, University of Lorraine, Nancy, France
| | - Françoise Barbé
- Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, Nancy, France
- Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, Nancy, France
| | - Laurence Derain Dubourg
- Nephrology, Dialysis, Hypertension and Functional Renal Exploration, Edouard Herriot Hospital, Hospices Civils de Lyon and Université Lyon 1, Lyon, France
| | - Laurence Chardon
- Department of Biology and Hormonology, Lyon-Est Hospital, Bron, France
| | - Jean-Louis Guéant
- Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, Nancy, France
- Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Nancy, France
| | - Luc Frimat
- Department of Nephrology, University of Lorraine, Nancy, France
- INSERM CIC-EC CIE6, University of Lorraine, Nancy, France
| | - Abderrahim Oussalah
- Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, Nancy, France
- Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Nancy, France
| | - Isabelle Vrillon
- Pediatric Nephrology Department, University Hospital of Nancy, Nancy, France
| |
Collapse
|
4
|
Berg RMG, Bailey DM. Race and ethnicity in physiological research: When socio-political constructs and biology collide. Exp Physiol 2024. [PMID: 38698735 DOI: 10.1113/ep091409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Affiliation(s)
- Ronan M G Berg
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Neurovascular Research Laboratory, Faculty of Life Sciences and Education, University of South Wales, Pontypridd, UK
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Damian M Bailey
- Centre for Physical Activity Research, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| |
Collapse
|
5
|
Wang Q, Meeusen JW. Clinical Impacts of Implementing the 2021 Race-Free Chronic Kidney Disease Epidemiology Collaboration Estimated Glomerular Filtration Rate. J Appl Lab Med 2024; 9:586-598. [PMID: 38366867 DOI: 10.1093/jalm/jfad137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/01/2023] [Indexed: 02/18/2024]
Abstract
BACKGROUND Estimated glomerular filtration rate (eGFR) has become incorporated into multiple clinical management situations. Historically, equations included a Black race coefficient, which lacked biological plausibility and created potential to exacerbate health disparities. A new equation created in 2021 changed the weighting of age, sex, and creatinine by modeling against a diverse cohort and removing the Black race coefficient. CONTENT A variety of clinical outcomes including kidney disease risk stratification, medication dosing, patient eligibility for clinical trials, and kidney donation are impacted by implementation of the new equation. Nearly 2 years after its initial publication, many studies have reported on observed analytical performance of the 2021 eGFR determined as diagnostic concordance and percentage of estimates within 30% of measured GFR. Additionally, the potential clinical impacts following adoption of the new eGFR among different patient populations has also been reported. Here we review these studies with a focus on assessing the data associated with the transition from 2009 to 2021 Chronic Kidney Disease Epidemiology Collaboration equations. SUMMARY The reported interindividual variation in eGFR performance is significantly larger than any potential benefit derived from race coefficients. Both the 2021 eGFR and the 2009 eGFR analytical performance fall short of the validation cohort performance in most cohorts. However, the 2021 analytical is similar or better than the 2009 eGFR in most cohorts. Implementing the 2021 eGFR will remove a systematic overestimation of kidney function among Black patients.
Collapse
Affiliation(s)
- Qian Wang
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester MN, United States
| | - Jeffrey W Meeusen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester MN, United States
| |
Collapse
|
6
|
Swanson KJ, Zhong W, Mandelbrot DA, Parajuli S. Histopathological Features and Role of Allograft Kidney Biopsy Among Recipients With Prolonged Delayed Graft Function: A Review. Transplantation 2024:00007890-990000000-00665. [PMID: 38383958 DOI: 10.1097/tp.0000000000004928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Delayed graft function (DGF) is an early posttransplant complication predictive of adverse outcomes. This "acute kidney injury of transplantation" is often defined as allograft dysfunction requiring renal replacement within 7 d posttransplantation. DGF is an important area of study because it is emerging with efforts to expand the donor pool and address the supply-demand gap in kidney transplantation. DGF is often caused by severe kidney injury mechanisms because of multiple donors, recipients, and immunologic factors. The role of kidney biopsy, particularly in prolonged DGF, is an ongoing area of research and inquiry for clinicians and researchers alike to better define, manage, and predict outcomes of this early posttransplant event. This review aims to provide an in-depth, comprehensive summary of the literature to date on the histopathology of DGF and the role of kidney transplant biopsies in prolonged DGF.
Collapse
Affiliation(s)
- Kurtis J Swanson
- Department of Medicine, Division of Nephrology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Weixiong Zhong
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Didier A Mandelbrot
- Department of Medicine, Division of Nephrology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Sandesh Parajuli
- Department of Medicine, Division of Nephrology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| |
Collapse
|
7
|
Munch PV, Heide-Jørgensen U, Jensen SK, Birn H, Vestergaard SV, Frøkiær J, Sørensen HT, Christiansen CF. Performance of the race-free CKD-EPI creatinine-based eGFR equation in a Danish cohort with measured GFR. Clin Kidney J 2023; 16:2728-2737. [PMID: 38046001 PMCID: PMC10689151 DOI: 10.1093/ckj/sfad253] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Indexed: 12/05/2023] Open
Abstract
Background In 2021, an updated Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for estimated glomerular filtration rate (eGFR) without a coefficient for race (CKD-EPI21) was developed. The performance of this new equation has yet to be examined among specific patient groups. Methods We compared the performances of the new CKD-EPI21 equation and the 2009 equation assuming non-Black race (CKD-EPI09-NB) in patients with GFR measured by chromium-51-EDTA plasma clearance at Aarhus University Hospital in Denmark during 2010-18. We examined bias, accuracy, precision and correct classification of chronic kidney disease (CKD) stage using chromium-51-EDTA clearance as the reference standard. We assessed the performance in the total cohort, cancer patients and potential living kidney donors. We also assessed the performance stratified by CKD stage in the total cohort. Results In this predominantly white population, the CKD-EPI21 equation performed slightly better than the CKD-EPI09-NB equation in both the total cohort (N = 4668), and in cancer patients (N = 3313) and potential living kidney donors (N = 239). In the total cohort, the CKD-EPI21 equation demonstrated a slightly lower median absolute bias (-0.2 versus -4.4 mL/min/1.73 m2), and a similar accuracy, precision and correct classification of CKD stage compared with the CKD-EPI09-NB equation. When stratified by CKD stage, the CKD-EPI09-NB equation performed slightly better than the CKD-EPI21 equation among patients with a measured GFR (mGFR) <60 mL/min/1.73 m2. Conclusions In a selected cohort of Danish patients with mGFR, the CKD-EPI21 equation performed slightly better than the CKD-EPI09-NB equation except for patients with a mGFR <60 mL/min/1.73 m2, where CKD-EPI09-NB performed slightly better although the differences were considered clinically insignificant.
Collapse
Affiliation(s)
- Philip Vestergaard Munch
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
| | - Uffe Heide-Jørgensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
| | - Simon Kok Jensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
| | - Henrik Birn
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Søren Viborg Vestergaard
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
- Department of Clinical Pharmacology, Aarhus University Hospital, Aarhus, Denmark
| | - Jørgen Frøkiær
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
- Department of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
| | - Christian Fynbo Christiansen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Midtjylland, Denmark
| |
Collapse
|