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Lu Z, Ni W, Wu Y, Zhai B, Zhao Q, Zheng T, Liu Q, Ding D. Application of biomarkers in the diagnosis of kidney disease. Front Med (Lausanne) 2025; 12:1560222. [PMID: 40370722 PMCID: PMC12075424 DOI: 10.3389/fmed.2025.1560222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2025] [Accepted: 04/16/2025] [Indexed: 05/16/2025] Open
Abstract
Worldwide, kidney disease has grown to be an important global public health agenda that reduces longevity. Medical institutions around the globe should enhance screening efforts for kidney disease, to facilitate early kidney disease detection, diagnosis, and intervention. Common screening methods for nephropathy encompass renal tissue biopsy, urine dry chemistry tests, urine formed element analysis, and urine-specific protein assays, among others. These methodologies evaluate renal health by scrutinizing a spectrum of biomarkers. Precise classification and quantitative analysis of these biomarkers can assist in determining the site and extent of kidney injury, as well as in assessing treatment efficacy and prognosis. In this paper, we reviewed the methods and biomarkers for kidney disease and also the integration of multiple biomarkers. With the aim of reasonable applying these markers to the early detection, accurate diagnosis, and scientific management of kidney disease, thereby mitigating the threat posed by kidney disease to human health.
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Affiliation(s)
- Zuohua Lu
- Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China
| | - Weifeng Ni
- Department of Endocrinology, Rheumatology and Immunology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yuding Wu
- Goldsite Diagnostics Inc., Shenzhen, China
| | - Bin Zhai
- Department of Clinical Laboratory, Baotou Central Hospital, Baotou, China
| | - Qiuyun Zhao
- Department of Clinical Laboratory, Guilin Hospital of Integrated Traditional Chinese and Western Medicine, Guilin, China
| | - Tian Zheng
- Department of Clinical Laboratory, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Qianqian Liu
- Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China
| | - Dapeng Ding
- Department of Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, Dalian, China
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Zhang Z, Zeng J, Wang W, Du Y, Yuan S, Dong N, Zhang C, Wang Z. Decrease in the internal quality control intermediate reproducibility imprecision of Cystatin C results in China in the years from 2014 to 2023. Ann Clin Biochem 2025:45632251329182. [PMID: 40085476 DOI: 10.1177/00045632251329182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2025]
Abstract
ObjectivesWe evaluated the intermediate reproducibility imprecision of cystatin C results based on internal quality control (IQC) data.MethodsIQC data for cystatin C analyte were collected each year from 2014 to 2023. We used the coefficient of variation (CV) to evaluate the level of laboratory imprecision. Five performance specifications [1/3 total allowable error (TEa), 1/4TEa and three levels performance specifications based on biological variation] were used to calculate the proportion of laboratories with CVs less than or equal to the performance specifications, namely, the pass rate. Based on the reference interval of Chinese adult serum cystatin C (0.59-1.03 mg/L), the concentration of quality control materials was divided into two levels for CV analysis: Level 1 (≤1.03 mg/L) and Level 2 (>1.03 mg/L). Additionally, group analysis was conducted according to the reagent manufacturer. Peer groups were further divided based on instruments to study differences between instruments. Boxplots were drawn to analyze trends in CVs, and differences in CVs among different groups were assessed using the Kruskal-Wallis test and Mann-Whitney U test.ResultsThe number of participating laboratories increased significantly from 255 in 2014 to 1814 in 2023. The intermediate reproducibility imprecision of Cystatin C IQC results in China had decreased from 5.1% (CV%) in 2014 to 3.3% in 2023. The pass rates based on 1/3 TEa showed upward trends increasing from 67% in 2014 to 88% in 2023. The pass rates for the other four performance specifications were all below 80%. The CVs of two concentration levels showed significant differences in most years. Roche Diagnostics reagent manufacturer exhibited low intermediate reproducibility imprecision. The BSBE-Abbott Architect series platform achieved a 100% pass rate based on 1/3 TEa in 2023.ConclusionsThe intermediate reproducibility imprecision of cystatin C has been a continuous overall improvement in China. However, the performance specifications of Cystatin C based on BV are currently not applicable to some laboratories in China. In addition, attention should be paid to the differences in intermediate reproducibility imprecision between various analysis systems.
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Affiliation(s)
- Zhixin Zhang
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Jie Zeng
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Wei Wang
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Yuxuan Du
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Shuai Yuan
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Na Dong
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Chuanbao Zhang
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Zhiguo Wang
- National Center for Clinical Laboratories/Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
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Karger AB, Shlipak MG. Glomerular Filtration Rate (GFR) Estimation with Cystatin C-Past, Present, and Future. Clin Chem 2025:hvae226. [PMID: 39902788 DOI: 10.1093/clinchem/hvae226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 12/18/2024] [Indexed: 02/06/2025]
Abstract
BACKGROUND Cystatin C is a long-established filtration marker which can be used to assess kidney function, but it has been sparingly used for clinical care due to creatinine's role as the primary biomarker for kidney function assessment based on estimated glomerular filtration rate (eGFR). CONTENT This review summarizes the evolution of cystatin C's role in kidney disease assessment and highlights new guidelines promoting more widespread use. Specifically, the 2021 National Kidney Foundation and American Society of Nephrology Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease report, and the 2024 Kidney Disease Improving Global Outcomes (KDIGO) Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease (CKD), recommend increased use of cystatin C as an alternative and complementary biomarker for kidney function assessment, since it does not differ by race like creatinine, correlates better with adverse outcomes compared to creatinine, and provides a more accurate eGFR when used in combination with creatinine. SUMMARY While robust literature demonstrates improved accuracy with cystatin C-based eGFR (eGFRcys) in certain clinical subpopulations, future research is needed to better understand its performance relative to creatinine-based eGFR (eGFRcr) and measured glomerular filtration rate (mGFR) in additional diverse cohorts, and to achieve assay standardization to match the performance of creatinine assays. Additionally, cystatin C testing availability will need to be broadened from primarily reference laboratories to local laboratories, and partnerships will need to be developed between clinical stakeholders and the laboratory to promote cystatin C's clinical use, to achieve widespread adoption of guideline-recommended eGFR equations.
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Affiliation(s)
- Amy B Karger
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Michael G Shlipak
- Kidney Health Research Collaborative, University of California San Francisco, San Francisco VA Healthcare System, San Francisco, CA, United States
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Navaneethan SD, Bansal N, Cavanaugh KL, Chang A, Crowley S, Delgado C, Estrella MM, Ghossein C, Ikizler TA, Koncicki H, St Peter W, Tuttle KR, William J. KDOQI US Commentary on the KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of CKD. Am J Kidney Dis 2025; 85:135-176. [PMID: 39556063 DOI: 10.1053/j.ajkd.2024.08.003] [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: 07/18/2024] [Accepted: 08/04/2024] [Indexed: 11/19/2024]
Abstract
The Kidney Disease Outcomes Quality Initiative (KDOQI) convened a work group to review the 2024 KDIGO (Kidney Disease: Improving Global Outcomes) guideline for the management of chronic kidney disease (CKD). The KDOQI Work Group reviewed the KDIGO guideline statements and practice points and provided perspective for implementation within the context of clinical practice in the United States. In general, the KDOQI Work Group concurs with several recommendations and practice points proposed by the KDIGO guidelines regarding CKD evaluation, risk assessment, and management options (both lifestyle and medications) for slowing CKD progression, addressing CKD-related complications, and improving cardiovascular outcomes. The KDOQI Work Group acknowledges the growing evidence base to support the use of several novel agents such as sodium/glucose cotransporter 2 inhibitors for several CKD etiologies, and glucagon-like peptide 1 receptor agonists and nonsteroidal mineralocorticoid receptor antagonists for type 2 CKD in setting of diabetes. Further, KDIGO guidelines emphasize the importance of team-based care which was also recognized by the work group as a key factor to address the growing CKD burden. In this commentary, the Work Group has also assessed and discussed various barriers and potential opportunities for implementing the recommendations put forth in the 2024 KDIGO guidelines while the scientific community continues to focus on enhancing early identification of CKD and discovering newer therapies for managing kidney disease.
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Affiliation(s)
- Sankar D Navaneethan
- Section of Nephrology, Department of Medicine, Selzman Institute for Kidney Health and Institute of Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
| | - Nisha Bansal
- Cardiovascular Health Research Unit, Department of Medicine, Washington
| | - Kerri L Cavanaugh
- Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alexander Chang
- Department of Population Health Sciences, Geisinger, Danville, Pennsylvania
| | - Susan Crowley
- Section of Nephrology, Department of Medicine, School of Medicine, Yale University, New Haven, Connecticut; Kidney Medicine Section, Medical Services, VA Connecticut Healthcare System, West Haven, Connecticut
| | - Cynthia Delgado
- Nephrology Section, San Francisco Veterans Affairs Health Care System, San Francisco, California; Division of Nephrology, University of California-San Francisco, San Francisco, California
| | - Michelle M Estrella
- Nephrology Section, San Francisco Veterans Affairs Health Care System, San Francisco, California; Division of Nephrology, University of California-San Francisco, San Francisco, California
| | - Cybele Ghossein
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - T Alp Ikizler
- Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Holly Koncicki
- Division of Nephrology, Mount Sinai Health System, New York, New York
| | - Wendy St Peter
- College of Pharmacy, University of Minnesota, Minneapolis, Minnesota
| | - Katherine R Tuttle
- Institute of Translational Health Sciences, Kidney Research Institute, and Nephrology Division, Washington; School of Medicine, University of Washington, Seattle, and Providence Medical Research Center, Providence Inland Northwest Health, Spokane, Washington
| | - Jeffrey William
- Division of Nephrology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
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Ebert N, Schaeffner E, Seegmiller JC, van Londen M, Bökenkamp A, Cavalier E, Delanaye P, Derain-Dubourg L, Eriksen BO, Indridason OS, Palsson R, Shafi T, Christensson A, Bevc S, Carrara F, Courbebaisse M, Dalton RN, van der Giet M, Melsom T, Methven S, Nordin G, Pottel H, Rule AD, Trillini M, White CA. Iohexol plasma clearance measurement protocol standardization for adults: a consensus paper of the European Kidney Function Consortium. Kidney Int 2024; 106:583-596. [PMID: 39097002 DOI: 10.1016/j.kint.2024.06.029] [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: 02/20/2024] [Revised: 06/10/2024] [Accepted: 06/14/2024] [Indexed: 08/05/2024]
Abstract
International consensus supports the development of standardized protocols for measured glomerular filtration rate (mGFR) to facilitate the integration of mGFR testing in both clinical and research settings. To this end, the European Kidney Function Consortium convened an international group of experts with relevant experience in mGFR. The working group performed an extensive literature search to inform the development of recommendations for mGFR determination using 1-compartment plasma clearance models and iohexol as the exogenous filtration marker. Iohexol was selected as it is non-radio labeled, inexpensive, and safe, can be assayed at a central laboratory, and the other commonly used non-radio-labeled tracers have been (inulin) or are soon to be (iothalamate) discontinued. A plasma clearance model was selected over urine clearance as it requires no urine collection. A 1 compartment was preferred to 2 compartments as it requires fewer samples. The recommendations are based on published evidence complemented by expert opinion. The consensus paper covers practical advice for patients and health professionals, preparation, administration, and safety aspects of iohexol, laboratory analysis, blood sample collection and sampling times using both multiple and single-sample protocols, description of the mGFR mathematical calculations, as well as implementation strategies. Supplementary materials include patient and provider information sheets, standard operating procedures, a study protocol template, and support for mGFR calculation.
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Affiliation(s)
- Natalie Ebert
- Charité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany
| | - Elke Schaeffner
- Charité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany
| | - Jesse C Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Marco van Londen
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, Groningen, the Netherlands
| | - Arend Bökenkamp
- Department of Pediatric Nephrology, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liège, Centre Hospitalier Universitaire du Sart-Tilman, Liège, Belgium
| | - Pierre Delanaye
- Department of Nephrology-Dialysis-Transplantation, University of Liège, Centre Hospitalier Universitaire du Sart-Tilman, Liège (ULiege), Belgium; Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France
| | - Laurence Derain-Dubourg
- Service de Néphrologie, Dialyse, Hypertension et Exploration Fonctionnelle Rénale, Centre de Référence des Maladies Rénales Rares, Service de Néphrologie et Rhumatologie Pédiatriques, Hospices Civils de Lyon, Lyon, France
| | - Bjørn O Eriksen
- Section of Nephrology, University Hospital of North Norway and Metabolic and Renal Research Group, UiT, The Arctic University of Norway, Tromsø, Norway
| | | | - Runolfur Palsson
- Division of Nephrology, Landspitali University Hospital, Reykavik, Iceland; Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tariq Shafi
- Division of Kidney Diseases, Hypertension and Transplantation, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
| | - Anders Christensson
- Department of Nephrology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Sebastjan Bevc
- Department of Nephrology, Department of Pharmacology, University Medical Centre Maribor, Maribor, Slovenia; Faculty of Medicine, University of Maribor, Maribor, Slovenia
| | - Fabiola Carrara
- Clinical Research Center for Rare Diseases, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Marie Courbebaisse
- Université Paris Cité; Physiology Department, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - R Neil Dalton
- The WellChild Laboratory, Evelina London Children's Hospital, London, UK
| | - Markus van der Giet
- Department of Nephrology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Toralf Melsom
- Section of Nephrology, University Hospital of North Norway and Metabolic and Renal Research Group, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Shona Methven
- Department of Renal Medicine, Aberdeen Royal Infirmary, Scotland, UK
| | | | - Hans Pottel
- Department of Public Health and Primary Care, Katholieke Universiteit Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
| | - Andrew D Rule
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Matias Trillini
- Clinical Research Center for Rare Diseases, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Christine A White
- Department of Medicine, Queen's University, Kingston, Ontario, Canada.
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Stehlé T, Delanaye P. Which is the best glomerular filtration marker: Creatinine, cystatin C or both? Eur J Clin Invest 2024; 54:e14278. [PMID: 38949475 DOI: 10.1111/eci.14278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/10/2024] [Indexed: 07/02/2024]
Abstract
BACKGROUND The glomerular filtration rate (GFR) is estimated by the serum or plasma concentration of creatinine and/or cystatin C using equations that include demographic data. The equations worldwide most widely used are those of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) consortium and updated in 2021 to remove the Afro-American racial correction factor. In 2021 and then in 2023, the European Kidney Function Consortium also developed equations based on creatinine and cystatin C, usable across the full age spectrum, and constructed by including the Q value (i.e. the median creatinine or cystatin C in healthy men and women, which is customizable for specific populations). METHODS The aim of this narrative review is to examine the strengths and weaknesses of each biomarker. RESULTS Both biomarkers have non-GFR determinants, namely muscle mass, protein intake and tubular secretion for creatinine; dysthyroidism and systemic corticosteroids for cystatin C, as well as other more debated determinants (diabetes, obesity, proteinuria, inflammatory syndrome). These non-GFR determinants are the reason why no equation based on a single endogenous biomarker has an accuracy within 30% greater than 90% over the entire age spectrum (in at least one patient in 10, estimated GFR is at least 30% higher or at least 30% lower than the measured GFR). CONCLUSION Equations combining the two biomarkers provide a better estimate of GFR, particularly in the subgroup of patients whose estimates based on each of the biomarkers are highly discordant. These patients must also be identified as being at increased risk of morbidity, particularly cardiovascular, and mortality.
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Affiliation(s)
- 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
- Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Univ. Paris Est Créteil, Créteil, France
| | - Pierre Delanaye
- Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium
- Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France
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Lamb EJ, Barratt J, Brettell EA, Cockwell P, Dalton RN, Deeks JJ, Eaglestone G, Pellatt-Higgins T, Kalra PA, Khunti K, Loud FC, Ottridge RS, Potter A, Rowe C, Scandrett K, Sitch AJ, Stevens PE, Sharpe CC, Shinkins B, Smith A, Sutton AJ, Taal MW. Accuracy of glomerular filtration rate estimation using creatinine and cystatin C for identifying and monitoring moderate chronic kidney disease: the eGFR-C study. Health Technol Assess 2024; 28:1-169. [PMID: 39056437 PMCID: PMC11331378 DOI: 10.3310/hyhn1078] [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] [Indexed: 07/28/2024] Open
Abstract
Background Estimation of glomerular filtration rate using equations based on creatinine is widely used to manage chronic kidney disease. In the UK, the Chronic Kidney Disease Epidemiology Collaboration creatinine equation is recommended. Other published equations using cystatin C, an alternative marker of kidney function, have not gained widespread clinical acceptance. Given higher cost of cystatin C, its clinical utility should be validated before widespread introduction into the NHS. Objectives Primary objectives were to: (1) compare accuracy of glomerular filtration rate equations at baseline and longitudinally in people with stage 3 chronic kidney disease, and test whether accuracy is affected by ethnicity, diabetes, albuminuria and other characteristics; (2) establish the reference change value for significant glomerular filtration rate changes; (3) model disease progression; and (4) explore comparative cost-effectiveness of kidney disease monitoring strategies. Design A longitudinal, prospective study was designed to: (1) assess accuracy of glomerular filtration rate equations at baseline (n = 1167) and their ability to detect change over 3 years (n = 875); (2) model disease progression predictors in 278 individuals who received additional measurements; (3) quantify glomerular filtration rate variability components (n = 20); and (4) develop a measurement model analysis to compare different monitoring strategy costs (n = 875). Setting Primary, secondary and tertiary care. Participants Adults (≥ 18 years) with stage 3 chronic kidney disease. Interventions Estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration and Modification of Diet in Renal Disease equations. Main outcome measures Measured glomerular filtration rate was the reference against which estimating equations were compared with accuracy being expressed as P30 (percentage of values within 30% of reference) and progression (variously defined) studied as sensitivity/specificity. A regression model of disease progression was developed and differences for risk factors estimated. Biological variation components were measured and the reference change value calculated. Comparative costs of monitoring with different estimating equations modelled over 10 years were calculated. Results Accuracy (P30) of all equations was ≥ 89.5%: the combined creatinine-cystatin equation (94.9%) was superior (p < 0.001) to other equations. Within each equation, no differences in P30 were seen across categories of age, gender, diabetes, albuminuria, body mass index, kidney function level and ethnicity. All equations showed poor (< 63%) sensitivity for detecting patients showing kidney function decline crossing clinically significant thresholds (e.g. a 25% decline in function). Consequently, the additional cost of monitoring kidney function annually using a cystatin C-based equation could not be justified (incremental cost per patient over 10 years = £43.32). Modelling data showed association between higher albuminuria and faster decline in measured and creatinine-estimated glomerular filtration rate. Reference change values for measured glomerular filtration rate (%, positive/negative) were 21.5/-17.7, with lower reference change values for estimated glomerular filtration rate. Limitations Recruitment of people from South Asian and African-Caribbean backgrounds was below the study target. Future work Prospective studies of the value of cystatin C as a risk marker in chronic kidney disease should be undertaken. Conclusions Inclusion of cystatin C in glomerular filtration rate-estimating equations marginally improved accuracy but not detection of disease progression. Our data do not support cystatin C use for monitoring of glomerular filtration rate in stage 3 chronic kidney disease. Trial registration This trial is registered as ISRCTN42955626. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 11/103/01) and is published in full in Health Technology Assessment; Vol. 28, No. 35. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Edmund J Lamb
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Jonathan Barratt
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Elizabeth A Brettell
- Birmingham Clinical Trials Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Paul Cockwell
- Renal Medicine, Queen Elizabeth Hospital Birmingham and Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - R Nei Dalton
- WellChild Laboratory, Evelina London Children's Hospital, St. Thomas' Hospital, London, UK
| | - Jon J Deeks
- Birmingham Clinical Trials Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Gillian Eaglestone
- Kent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Kent, UK
| | | | - Philip A Kalra
- Department of Renal Medicine, Salford Royal Hospital Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | | | - Ryan S Ottridge
- Birmingham Clinical Trials Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Aisling Potter
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Ceri Rowe
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Katie Scandrett
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Alice J Sitch
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Paul E Stevens
- Kent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Kent, UK
| | - Claire C Sharpe
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Bethany Shinkins
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Alison Smith
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Andrew J Sutton
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Maarten W Taal
- Department of Renal Medicine, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
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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.
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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
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Zhang L, Nizhamuding X, Zheng H, Zeng J, Yuan X, Ma Z, Zhou W, Zhang C, Zhang T, Zhang C. An LC-MS/MS method for serum cystatin C quantification and its comparison with two commercial immunoassays. Clin Chem Lab Med 2024; 62:1092-1100. [PMID: 38253403 DOI: 10.1515/cclm-2023-0821] [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: 08/01/2023] [Accepted: 01/08/2024] [Indexed: 01/24/2024]
Abstract
OBJECTIVES The standardization of cystatin C (CysC) measurement has received increasing attention in recent years due to its importance in estimating glomerular filtration rate (GFR). Mass spectrometry-based assays have the potential to provide an accuracy base for CysC measurement. However, a precise, accurate and sustainable LC-MS/MS method for CysC is still lacking. METHODS The developed LC-MS/MS method quantified CysC by detecting signature peptide (T3) obtained from tryptic digestion. Stable isotope labeled T3 peptide (SIL-T3) was spiked to control matrix effects and errors caused by liquid handling. The protein denaturation, reduction and alkylation procedures were combined into a single step with incubation time of 1 h, and the digestion lasted for 3.5 h. In the method validation, digestion time-course, imprecision, accuracy, matrix effect, interference, limit of quantification (LOQ), carryover, linearity, and the comparability to two routine immunoassays were evaluated. RESULTS No significant matrix effect or interference was observed with the CysC measurement. The LOQ was 0.21 mg/L; the within-run and total imprecision were 1.33-2.05 % and 2.18-3.90 % for three serum pools (1.18-5.34 mg/L). The LC-MS/MS method was calibrated by ERM-DA471/IFCC and showed good correlation with two immunoassays traceable to ERM-DA471/IFCC. However, significant bias was observed for immunoassays against the LC-MS/MS method. CONCLUSIONS The developed LC-MS/MS method is robust and simpler and holds the promise to provide an accuracy base for routine immunoassays, which will promote the standardization of CysC measurement.
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Affiliation(s)
- Li Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
| | - Xiaerbanu Nizhamuding
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
| | - Hao Zheng
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Jie Zeng
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Xinyi Yuan
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
| | - Zijia Ma
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
| | - Weiyan Zhou
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Chao Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Tianjiao Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Chuanbao Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, P.R. China
- National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
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10
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Fu EL, Levey AS, Coresh J, Grams ME, Faucon AL, Elinder CG, Dekker FW, Delanaye P, Inker LA, Carrero JJ. Accuracy of GFR estimating equations based on creatinine, cystatin C or both in routine care. Nephrol Dial Transplant 2024; 39:694-706. [PMID: 37813817 DOI: 10.1093/ndt/gfad219] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND New equations to estimate glomerular filtration rate based on creatinine (eGFRcr), cystatin C (eGFRcys) or both (eGFRcr-cys) have been developed by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and the European Kidney Function Consortium (EKFC). There is a need to evaluate the performance of these equations in diverse European settings to inform implementation decisions, especially among people with key comorbid conditions. METHODS We performed a cross-sectional study including 6174 adults referred for single-point plasma clearance of iohexol in Stockholm, Sweden, with 9579 concurrent measurements of creatinine and cystatin C. We assessed the performance of the CKD-EPI 2009/2012/2021, EKFC 2021/2023, revised Lund-Malmö (RLM) 2011 and Caucasian, Asian, Pediatric and Adult (CAPA) 2014 equations against measured GFR (mGFR). RESULTS Mean age was 56 years, median mGFR was 62 mL/min/1.73 m2 and 40% were female. Comorbid conditions were common: cardiovascular disease (30%), liver disease (28%), diabetes (26%) and cancer (26%). All eGFRcr-cys equations had small bias and P30 (the percentage of estimated values within 30% of mGFR) close to 90%, and performed better than eGFRcr or eGFRcys equations. Among eGFRcr equations, CKD-EPI 2009 and CKD-EPI 2021 showed larger bias and lower P30 than EKFC 2021 and RLM. There were no meaningful differences in performance across eGFRcys equations. Findings were consistent across comorbid conditions, and eGFRcr-cys equations showed good performance in patients with liver disease, cancer and heart failure. CONCLUSIONS In conclusion, eGFRcr-cys equations performed best, with minimal variation among equations in this Swedish cohort. The lower performance of CKD-EPI eGFRcr equations compared with EKFC and RLM may reflect differences in population characteristics and mGFR methods. Implementing eGFRcr equations will require a trade-off between accuracy and uniformity across regions.
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Affiliation(s)
- Edouard L Fu
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew S Levey
- Division of Nephrology, Department of Internal Medicine, Tufts Medical Center, Boston, MA, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Morgan E Grams
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Anne-Laure Faucon
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- INSERM UMR 1018, Department of Clinical Epidemiology, Paris-Saclay University, Paris, France
| | - Carl-Gustaf Elinder
- Division of Renal Medicine, Department of Clinical Intervention, and Technology, Karolinska University Hospital and Karolinska Institute, Stockholm, Sweden
| | - Friedo W Dekker
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pierre Delanaye
- Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium
- Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France
| | - Lesley A Inker
- Division of Nephrology, Department of Internal Medicine, Tufts Medical Center, Boston, MA, USA
| | - Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Division of Nephrology, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
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11
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Choi R, Lee SG, Lee EH. Comparative Analysis of Seven Equations for Estimated Glomerular Filtration Rate and Their Impact on Chronic Kidney Disease Categorization in Korean Patients at Local Clinics and Hospitals. J Clin Med 2024; 13:1945. [PMID: 38610710 PMCID: PMC11012467 DOI: 10.3390/jcm13071945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 03/18/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
(1) Background: Accurate estimation of the glomerular filtration rate (eGFR) is essential for the early detection of chronic kidney disease (CKD), targeted interventions, and ongoing monitoring. Although various equations for calculating eGFR exist, comparative studies on eGFR levels and the impact of these equations on CKD prevalence are limited in the Korean population. (2) Methods: We compared eGFR levels calculated using seven equations and investigated the prevalence of CKD through a retrospective analysis of the data from Korean adult patients who visited local clinics and hospitals and underwent simultaneous serum creatinine (Cr) and cystatin C (Cys-C) measurements. The equations analyzed were: 2006 MDRD, 2009 CKD-EPI Cr, 2012 CKD-EPI Cys-C, 2012 CKD-EPI Cr & Cys-C, 2021 CKD-EPI Cr, 2021 CKD-EPI Cr & Cys-C, and 2021 EKFC. (3) Results: This study included 6688 Korean patients (3736 men and 2952 women; median age: 61.4; IQR: 47.2-73.4). Among the equations, the median eGFR levels were the highest when using the 2021 CKD-EPI Cr & Cys-C equation (85.1 mL/min/1.73 m2) and the lowest when using the 2006 MDRD equation (73.4 mL/min/1.73 m2). The highest prevalence of decreased eGFR < 60 mL/min/1.73 m2 (equivalent to or worse than G3a CKD) was noted with the 2012 CKD-EPI Cys-C equation (32.4%), while the lowest was with the 2021 CKD-EPI Cr equation (22.9%), resulting in a maximum prevalence difference of 9.5%. (4) Conclusions: The prevalence of CKD varies based on the eGFR equation used and the patient's age. Equations that include Cys-C may identify a larger number of patients with decreased kidney function.
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Affiliation(s)
- Rihwa Choi
- Department of Laboratory Medicine, Green Cross Laboratories, Yongin 16924, Republic of Korea;
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Sang Gon Lee
- Department of Laboratory Medicine, Green Cross Laboratories, Yongin 16924, Republic of Korea;
| | - Eun Hee Lee
- Green Cross Laboratories, Yongin 16924, Republic of Korea
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12
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Pottel H, Delanaye P, Cavalier E. Exploring Renal Function Assessment: Creatinine, Cystatin C, and Estimated Glomerular Filtration Rate Focused on the European Kidney Function Consortium Equation. Ann Lab Med 2024; 44:135-143. [PMID: 37909162 PMCID: PMC10628758 DOI: 10.3343/alm.2023.0237] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/25/2023] [Accepted: 10/25/2023] [Indexed: 11/02/2023] Open
Abstract
Serum creatinine and serum cystatin C are the most widely used renal biomarkers for calculating the estimated glomerular filtration rate (eGFR), which is used to estimate the severity of kidney damage. In this review, we present the basic characteristics of these biomarkers, their advantages and disadvantages, some basic history, and current laboratory measurement practices with state-of-the-art methodology. Their clinical utility is described in terms of normal reference intervals, graphically presented with age-dependent reference intervals, and their use in eGFR equations.
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Affiliation(s)
- Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
| | - Pierre Delanaye
- Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France
- Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liège, CHU Sart Tilman, Liège, Belgium
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13
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Adingwupu OM, Barbosa ER, Palevsky PM, Vassalotti JA, Levey AS, Inker LA. Cystatin C as a GFR Estimation Marker in Acute and Chronic Illness: A Systematic Review. Kidney Med 2023; 5:100727. [PMID: 37928862 PMCID: PMC10623366 DOI: 10.1016/j.xkme.2023.100727] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023] Open
Abstract
Rationale & Objective Creatinine-based GFR estimating (eGFRcr) equations may be inaccurate in populations with acute or chronic illness. The accuracy of GFR equations that use cystatin C (eGFRcys) or creatinine-cystatin C (eGFRcr-cys) is not well studied in these populations. Study Design A systematic review of original articles identified from PubMed and expert sources. Two reviewers screened articles independently and identified those meeting inclusion criteria. Setting & Study Populations Adults and children with acute or chronic illness. Selection Criteria for Studies Studies published since 2011 that compared performance of eGFRcr, eGFRcys, and eGFRcr-cys relative to measured GFR (mGFR), used standardized assays for creatinine or cystatin C, and used eGFR equations developed using such assays. Studies of ambulatory clinical populations or research studies in populations with only CKD, kidney transplant recipients, only diabetes, kidney donor candidates, and community-based cohorts were excluded. Data Extraction Data extracted from full text. Analytical Approach Bias and percentages of estimates within 30% of mGFR (P30) of eGFR compared with mGFR were evaluated. Results Of the 179 citations, 26 studies met the inclusion criteria: 24 in adults and 2 in children in clinical populations with cancer (n=5), HIV (n=5), cirrhosis (n=3), liver transplant (n=3), heart failure (n=2), neuromuscular diseases (n=1) critical illness (n=5), and obesity (n=2). In general, eGFRcr-cys had greater accuracy than eGFRcr or eGFRcys equations among study populations with cancer, HIV, and obesity, but did not perform consistently better in cirrhosis, liver transplant, heart failure, neuromuscular disease, and critical illness. Limitations Participants were selected because of concern for inaccurate eGFRcr, which may bias results. Most studies had small sample sizes, limiting generalizability. Conclusions eGFRcr-cys improves GFR estimation in populations with a variety of acute and chronic illnesses, providing indications for cystatin C measurement. Performance was poor in many studies, suggesting the need for more frequent mGFR. Plain-Language Summary Kidney function, specifically glomerular filtration rate (GFR), estimated using creatinine (eGFRcr) is often inaccurate in people with acute and chronic illness. The accuracy of estimates using cystatin C alone (eGFRcys) or together with creatinine (eGFRcr-cys) is not well studied in these populations. We conducted a systematic review to address the knowledge gap. Of the 179 papers reviewed, we identified 26 studies in clinical populations with cancer (n=5); HIV (n=5); cirrhosis (n=3); liver transplant (n=3); heart failure (n=2); neuromuscular disease (n=1); critical illness (n=5); and obesity (n=2). In general, eGFRcr-cys improved the GFR estimation in HIV, cancer, and obesity, providing indications for cystatin C measurement. Performance was poor in many studies, suggesting the need for more frequent measured GFR.
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Affiliation(s)
- Ogechi M. Adingwupu
- Department of Medicine, Division of Nephrology, Tufts Medical Center, Boston, MA
| | | | - Paul M. Palevsky
- Renal Section, Medical Service, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA
| | - Joseph A. Vassalotti
- Icahn School of Medicine at Mount Sinai, New York, NY; National Kidney Foundation, Inc, New York, NY
| | - Andrew S. Levey
- Department of Medicine, Division of Nephrology, Tufts Medical Center, Boston, MA
| | - Lesley A. Inker
- Department of Medicine, Division of Nephrology, Tufts Medical Center, Boston, MA
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14
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Delanaye P, Cavalier E, Pottel H, Stehlé T. New and old GFR equations: a European perspective. Clin Kidney J 2023; 16:1375-1383. [PMID: 37664574 PMCID: PMC10469124 DOI: 10.1093/ckj/sfad039] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Indexed: 09/05/2023] Open
Abstract
Glomerular filtration rate (GFR) is estimated in clinical practice from equations based on the serum concentration of endogenous biomarkers and demographic data. The 2009 creatinine-based Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI2009) was recommended worldwide until 2021, when it was recalibrated to remove the African-American race factor. The CKD-EPI2009 and CKD-EPIcr2021 equations overestimate GFR of adults aged 18-30 years, with a strong overestimation in estimated GFR (eGFR) at age 18 years. CKD-EPICr2021 does not perform better than CKD-EPI2009 in US population, overestimating GFR in non-Black subjects, and underestimating it in Black subjects with the same magnitude. CKD-EPICr2021 performed worse than the CKD-EPI2009 in White Europeans, and provides no or limited performance gains in Black European and Black African populations. The European Kidney Function Consortium (EKFC) equation, which incorporates median normal value of serum creatinine in healthy population, overcomes the limitations of the CKD-EPI equations: it provides a continuity of eGFR at the transition between pediatric and adult care, and performs reasonably well in diverse populations, assuming dedicated scaling of serum creatinine (Q) values is used. The new EKFC equation based on cystatin C (EKFCCC) shares the same mathematical construction, namely, it incorporates the median cystatin C value in the general population, which is independent of sex and ethnicity. EKFCCC is therefore a sex-free and race-free equation, which performs better than the CKD-EPI equation based on cystatin C. Despite advances in the field of GFR estimation, no equation is perfectly accurate, and GFR measurement by exogenous tracer clearance is still required in specific populations and/or specific clinical situations.
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Affiliation(s)
- Pierre Delanaye
- Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium
- Department of Nephrology-Dialysis-Apheresis, Hôpital Universitaire Carémeau, Nîmes, France
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liège, CHU Sart Tilman, Liège, Belgium
| | - Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
| | - Thomas Stehlé
- Université Paris Est Créteil, INSERM, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Fédération Hospitalo-Universitaire « Innovative therapy for immune disorders », Créteil, France
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15
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Stehlé T, Ouamri Y, Morel A, Vidal-Petiot E, Fellahi S, Segaux L, Prié D, Grimbert P, Luciani A, Audard V, Haymann JP, Mulé S, De Kerviler E, Peraldi MN, Boutten A, Matignon M, Canouï-Poitrine F, Flamant M, Pigneur F. Development and validation of a new equation based on plasma creatinine and muscle mass assessed by CT scan to estimate glomerular filtration rate: a cross-sectional study. Clin Kidney J 2023; 16:1265-1277. [PMID: 37529645 PMCID: PMC10387393 DOI: 10.1093/ckj/sfad012] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Indexed: 08/03/2023] Open
Abstract
Background Inter-individual variations of non-glomerular filtration rate (GFR) determinants of serum creatinine, such as muscle mass, account for the imperfect performance of estimated GFR (eGFR) equations. We aimed to develop an equation based on creatinine and total lumbar muscle cross-sectional area measured by unenhanced computed tomography scan at the third lumbar vertebra. Methods The muscle mass-based eGFR (MMB-eGFR) equation was developed in 118 kidney donor candidates (iohexol clearance) using linear regression. Validation cohorts included 114 healthy subjects from another center (51Cr-EDTA clearance, validation population 1), 55 patients with chronic diseases (iohexol, validation population 2), and 60 patients with highly discordant creatinine and cystatin C-based eGFR, thus presumed to have atypical non-GFR determinants of creatinine (51Cr-EDTA, validation population 3). Mean bias was the mean difference between eGFR and measured GFR, precision the standard deviation (SD) of the bias, and accuracy the percentage of eGFR values falling within 20% and 30% of measured GFR. Results In validation population 1, performance of MMB-eGFR was not different from those of CKD-EPICr2009 and CKD-EPICr2021. In validation population 2, MMB-eGFR was unbiased and displayed better precision than CKD-EPICr2009, CKD-EPICr2021 and EKFC (SD of the biases: 13.1 vs 16.5, 16.8 and 15.9 mL/min/1.73 m2). In validation population 3, MMB-eGFR had better precision and accuracy {accuracy within 30%: 75.0% [95% confidence interval (CI) 64.0-86.0] vs 51.5% (95% CI 39.0-64.3) for CKD-EPICr2009, 43.3% (95% CI 31.0-55.9) for CKD-EPICr2021, and 53.3% (95% CI 40.7-66.0) for EKFC}. Difference in bias between Black and white subjects was -2.1 mL/min/1.73 m2 (95% CI -7.2 to 3.0), vs -8.4 mL/min/1.73 m2 (95% CI -13.2 to -3.6) for CKD-EPICr2021. Conclusion MMB-eGFR displayed better performances than equations based on demographics, and could be applied to subjects of various ethnic backgrounds.
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Affiliation(s)
| | - Yaniss Ouamri
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service d'Imagerie Médicale, Créteil, France
| | - Antoine Morel
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service de Santé Publique, Créteil, France
| | - Emmanuelle Vidal-Petiot
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), U1149, Paris, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Département de Physiologie-Explorations Fonctionnelles, Hôpital Bichat, Paris, France
| | - Soraya Fellahi
- Université Pierre et Marie Curie Paris 6, Hôpital Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (APHP), Paris, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri Mondor, Département de Biochimie, Créteil, France
| | - Lauriane Segaux
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service de Santé Publique, Créteil, France
| | - Dominique Prié
- Université de Paris Cité, Faculté de Médecine, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, Paris, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Groupe Hospitalier Necker Enfants Malades, Service de Physiologie et Explorations Fonctionnelles, Paris, France
| | - Philippe Grimbert
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Fédération Hospitalo-Universitaire « Innovative therapy for immune disorders », Créteil, France
| | - Alain Luciani
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service d'Imagerie Médicale, Créteil, France
| | - Vincent Audard
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Fédération Hospitalo-Universitaire « Innovative therapy for immune disorders », Créteil, France
| | - Jean Philippe Haymann
- Univ. Paris Diderot, Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), U1155
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux de Paris, hôpital Tenon, Département de Physiologie-Explorations Fonctionnelles, Paris, France
| | - Sébastien Mulé
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service d'Imagerie Médicale, Créteil, France
| | - Eric De Kerviler
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux de Paris, Hôpital Tenon, Département de Physiologie-Explorations Fonctionnelles, Paris, France
| | - Marie-Noëlle Peraldi
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpital Saint Louis, Service de Néphrologie, Paris, France
| | - Anne Boutten
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux de Paris, hôpital Bichat, Département de Biochimie Clinique, Paris, France
| | - Marie Matignon
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Fédération Hospitalo-Universitaire « Innovative therapy for immune disorders », Créteil, France
| | - Florence Canouï-Poitrine
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service de Santé Publique, Créteil, France
| | - Martin Flamant
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), U1149, Paris, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Département de Physiologie-Explorations Fonctionnelles, Hôpital Bichat, Paris, France
| | - Frédéric Pigneur
- Univ. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France
- Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Henri-Mondor, Service d'Imagerie Médicale, Créteil, France
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16
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Zeng J, Zhang L, Zhang J, Zhou W, Zhang T, Wang J, Zhao H, Zhang C. Imprecision remains to be improved in the measurement of serum cystatin C with heterogeneous systems. Clin Chem Lab Med 2023; 61:1455-1462. [PMID: 36866730 DOI: 10.1515/cclm-2022-1299] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 02/03/2023] [Indexed: 03/04/2023]
Abstract
OBJECTIVES Except for the large bias of some measurement systems for serum cystatin C (CysC) measurements, unacceptable imprecision has been observed for the heterogenous system. This study analyzed the external quality assessment (EQA) results in 2018-2021 to provide an insight into the imprecision of CysC assays. METHODS Five EQA samples were sent to participating laboratories every year. Participants were divided into reagent/calibrator-based peer groups, for which the robust mean of each sample and robust coefficient of variation (CV) were calculated by Algorithm A from ISO 13528. Peers with more than 12 participants per year were selected for further analysis. The limit of CV was determined to be 4.85% based on clinical application requirements. The concentration-related effect on CVs was investigated using logarithmic curve fitting; the difference in medians and robust CVs between instrument-based subgroups was also evaluated. RESULTS The total number of participating laboratories increased from 845 to 1,695 in four years and heterogeneous systems remained the mainstream (≥85%). Of 18 peers with ≥12 participants, those using homogeneous systems showed relatively steady and small CVs over four years, with the mean four-year CVs ranging from 3.21 to 3.68%. Some peers using heterogenous systems showed reduced CVs over four years, while 7/15 still had unacceptable CVs in 2021 (5.01-8.34%). Six peers showed larger CVs at the low or high concentrations, and some instrument-based subgroups presented greater imprecision than others. CONCLUSIONS More efforts should be made to improve the imprecision of heterogeneous systems for CysC measurement.
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Affiliation(s)
- Jie Zeng
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Li Zhang
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Jiangtao Zhang
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Weiyan Zhou
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Tianjiao Zhang
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Jing Wang
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Haijian Zhao
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
| | - Chuanbao Zhang
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Beijing, P.R. China
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17
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Spencer S, Desborough R, Bhandari S. Should Cystatin C eGFR Become Routine Clinical Practice? Biomolecules 2023; 13:1075. [PMID: 37509111 PMCID: PMC10377068 DOI: 10.3390/biom13071075] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/29/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
Kidney function assessment is crucial for diagnosing and managing kidney diseases. Glomerular filtration rate (GFR) is widely used as an indicator of kidney function, but its direct measurement is challenging. Serum creatinine, a commonly used marker for estimating GFR (eGFR), has limitations in accuracy and sensitivity. Cystatin C, a protein freely filtered by the glomerulus, has emerged as a promising alternative marker for kidney function. It is unaffected by muscle mass and shows stronger associations with cardiovascular disease and mortality than creatinine. Various equations have been developed to estimate GFR using creatinine or cystatin C alone or in combination. The CKD-EPIcreat-cys equation combining both markers demonstrates improved accuracy in GFR estimation, especially for individuals with eGFR values of 45-59 mL/min/1.73 m2. Cystatin C-based estimates of GFR outperform creatinine-based estimates in predicting clinical outcomes and identifying patients at higher risk, particularly in elderly and non-white ethnic groups. Cystatin C offers advantages over creatinine as a marker of kidney function. It is not influenced by non-kidney factors and provides more accurate estimation of GFR, aiding in the early detection of kidney disease and predicting adverse outcomes. Incorporating cystatin C into routine kidney function assessment may improve patient risk stratification and guide clinical decision-making. However, widespread adoption of cystatin C testing requires increased availability and accessibility in clinical laboratories. Further research and implementation efforts are needed to fully realize the potential of cystatin C in kidney function assessment and improving patient outcomes.
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Affiliation(s)
- Sebastian Spencer
- School of Medical Sciences, University of Hull, Hull HU6 7RX, UK
- Hull York Medical School, University of Hull, Hull HU6 7RU, UK
- Academic Renal Research, Hull University Teaching Hospitals NHS Trust, Hull HU3 2JZ, UK
| | - Robert Desborough
- Hull York Medical School, University of Hull, Hull HU6 7RU, UK
- Academic Renal Research, Hull University Teaching Hospitals NHS Trust, Hull HU3 2JZ, UK
| | - Sunil Bhandari
- Hull York Medical School, University of Hull, Hull HU6 7RU, UK
- Academic Renal Research, Hull University Teaching Hospitals NHS Trust, Hull HU3 2JZ, UK
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18
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Chen DC, Potok OA, Rifkin D, Estrella MM. Advantages, Limitations, and Clinical Considerations in Using Cystatin C to Estimate GFR. KIDNEY360 2022; 3:1807-1814. [PMID: 36514729 PMCID: PMC9717651 DOI: 10.34067/kid.0003202022] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/17/2022] [Indexed: 01/12/2023]
Abstract
Cystatin C has been shown to be a reliable and accurate marker of kidney function across diverse populations. The 2012 Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommended using cystatin C to confirm the diagnosis of chronic kidney disease (CKD) determined by creatinine-based estimated glomerular filtration rate (eGFR) and to estimate kidney function when accurate eGFR estimates are needed for clinical decision-making. In the efforts to remove race from eGFR calculations in the United States, the National Kidney Foundation (NKF) and American Society of Nephrology (ASN) Joint Task Force recommended increasing availability and clinical adoption of cystatin C to assess kidney function. This review summarizes the key advantages and limitations of cystatin C use in clinical practice. Our goals were to review and discuss the literature on cystatin C; understand the evidence behind the recommendations for its use as a marker of kidney function to diagnose CKD and risk stratify patients for adverse outcomes; discuss the challenges of its use in clinical practice; and guide clinicians on its interpretation.
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Affiliation(s)
- Debbie C. Chen
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco VA Health Care System, San Francisco, California
| | - O. Alison Potok
- University of California, San Diego and San Diego VA Health Care System, San Francisco, California
| | - Dena Rifkin
- University of California, San Diego and San Diego VA Health Care System, San Francisco, California
| | - Michelle M. Estrella
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco VA Health Care System, San Francisco, California
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