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Du J, Hou J. Comment on: Difference between kidney function by cystatin C versus creatinine and association with muscle mass and frailty. J Am Geriatr Soc 2024. [PMID: 39189503 DOI: 10.1111/jgs.19171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 06/16/2024] [Indexed: 08/28/2024]
Affiliation(s)
- Jiawei Du
- Key Laboratory of Sports and Physical Fitness of the Ministry of Education, Beijing Sport University, Beijing, China
- Department of Exercise Physiology, Beijing Sport University, Beijing, China
| | - Jinghua Hou
- Key Laboratory of Sports and Physical Fitness of the Ministry of Education, Beijing Sport University, Beijing, China
- Department of Exercise Biochemistry, Beijing Sport University, Beijing, China
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2
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Kirsztajn GM, da Silva GB, da Silva AQB, Abensur H, Romão JE, Bastos MG, Calice-Silva V, do Carmo LPDF, de Sandes-Freitas TV, Abreu PF, Andreguetto BD, Cortes LGF, Oliveira MGDL, Vieira LMF, Moura-Neto JA, Andriolo A. Estimated glomerular filtration rate in clinical practice: Consensus positioning of the Brazilian Society of Nephrology (SBN) and Brazilian Society of Clinical Pathology and Laboratory Medicine (SBPC/ML). J Bras Nefrol 2024; 46:e20230193. [PMID: 38591823 PMCID: PMC11300030 DOI: 10.1590/2175-8239-jbn-2023-0193en] [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: 03/18/2023] [Accepted: 02/07/2024] [Indexed: 04/10/2024] Open
Abstract
Chronic kidney disease (CKD) represents one of today's main public health problems. Serum creatinine measurement and estimation of the glomerular filtration rate (GFR) are the main tools for evaluating renal function. There are several equations to estimate GFR, and CKD-EPI equation (Chronic Kidney Disease - Epidemiology) is the most recommended one. There are still some controversies regarding serum creatinine measurement and GFR estimation, since several factors can interfere in this process. An important recent change was the removal of the correction for race from the equations for estimating GFR, which overestimated kidney function, and consequently delayed the implementation of treatments such as dialysis and kidney transplantation. In this consensus document from the Brazilian Societies of Nephrology and Clinical Pathology and Laboratory Medicine, the main concepts related to the assessment of renal function are reviewed, as well as possible existing controversies and recommendations for estimating GFR in clinical practice.
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Affiliation(s)
- Gianna Mastroianni Kirsztajn
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade Federal de São Paulo, Escola Paulista de Medicina, São
Paulo, SP, Brazil
| | - Geraldo Bezerra da Silva
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade de Fortaleza, Centro de Ciências da Saúde, Programas de
Pós-Graduação em Ciências Médicas e Saúde Coletiva, Fortaleza, CE, Brazil
| | - Artur Quintiliano Bezerra da Silva
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade Federal do Rio Grande do Norte, Departamento de
Medicina Integrada, Natal, RN, Brazil
| | - Hugo Abensur
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade de São Paulo, Faculdade de Medicina, São Paulo, SP,
Brazil
| | - João Egídio Romão
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade de São Paulo, Faculdade de Medicina, São Paulo, SP,
Brazil
| | - Marcus Gomes Bastos
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Faculdade de Ciências Médicas e da Saúde de Juiz de Fora, Juiz de
Fora, MG, Brazil
- Faculdade Ubaense Ozanam Coelho, Ubá, MG, Brazil
| | - Viviane Calice-Silva
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade da Região de Joinville, Joinville, SC, Brazil
- Fundação Pró-Rim, Joinville, SC, Brazil
| | - Lilian Pires de Freitas do Carmo
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade Federal de Minas Gerais, Faculdade de Medicina, Belo
Horizonte, MG, Brazil
| | - Tainá Veras de Sandes-Freitas
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade Federal do Ceará, Faculdade de Medicina, Fortaleza,
CE, Brazil
| | - Patrícia Ferreira Abreu
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Universidade Federal de São Paulo, Escola Paulista de Medicina, São
Paulo, SP, Brazil
| | | | - Luiz Gustavo Ferreira Cortes
- Sociedade Brasileira de Patologia Clínica e Medicina Laboratorial,
Rio de Janeiro, RJ, Brazil
- Hospital Israelita Albert Einstein, Laboratório Clínico, São Paulo,
SP, Brazil
| | | | - Luisane Maria Falci Vieira
- Sociedade Brasileira de Patologia Clínica e Medicina Laboratorial,
Rio de Janeiro, RJ, Brazil
- Dasa – Diagnósticos da América S.A., São Paulo, SP, Brazil
| | - José A. Moura-Neto
- Sociedade Brasileira de Nefrologia, São Paulo, SP, Brazil
- Escola Bahiana de Medicina e Saúde Pública, Salvador, BA,
Brazil
| | - Adagmar Andriolo
- Universidade Federal de São Paulo, Escola Paulista de Medicina, São
Paulo, SP, Brazil
- Sociedade Brasileira de Patologia Clínica e Medicina Laboratorial,
Rio de Janeiro, RJ, Brazil
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3
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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: 0] [Impact Index Per Article: 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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Sridharan K, Shah S, Hammad MA, Mohammed FA, Veeramuthu S, Taher MA, Hammad MM, Jawad L, Farid E. Correlations between serum kidney injury molecule-1, cystatin C and immunosuppressants: A cross-sectional study of renal transplant patients in Bahrain. J Biomed Res 2024; 38:269-277. [PMID: 38528676 PMCID: PMC11144937 DOI: 10.7555/jbr.37.20220211] [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: 09/25/2022] [Revised: 10/24/2022] [Accepted: 11/06/2022] [Indexed: 03/27/2024] Open
Abstract
Renal transplant patients receive several immunosuppressive drug regimens that are potentially nephrotoxic for treatment. Serum creatinine is the standard for monitoring kidney function; however, cystatin C (Cys C) and kidney injury molecule-1 (KIM-1) have been found to indicate kidney injury earlier than serum creatinine and provide a better reflection of kidney function. Here, we assessed Cys C and KIM-1 serum levels in renal transplant patients receiving mycophenolate mofetil, tacrolimus, sirolimus, everolimus, or cyclosporine to evaluate kidney function. We used both the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation, which is based on creatinine and combined creatinine with Cys C, and the CKD-EPI 2012 equation, which is based on Cys C alone, to estimate glomerular filtration rate (GFR). Then, we assessed the association between serum KIM-1 and GFR < 90 mL per minute per 1.73 m 2. We observed significantly higher serum Cys C levels in patients with the elevated serum creatinine, compared with those with normal serum creatinine. The estimated GFRs based on creatinine were significantly higher than those based on the other equations, while a significant positive correlation was observed among all equations. Serum KIM-1 levels were negatively correlated with the estimated GFRs by the CKD-EPI Cys C and the combined creatinine with Cys C equations. A serum KIM-1 level above 0.71 ng/mL is likely to indicate GFR < 90 mL per minute per 1.73 m 2. We observed a significant correlation between serum creatinine and Cys C in our renal transplant patients. Therefore, serum KIM-1 may be used to monitor renal function when using potentially nephrotoxic drugs in renal transplants.
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Affiliation(s)
- Kannan Sridharan
- Department of Pharmacology and Therapeutics, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Shamik Shah
- Department of Nephrology, Salmaniya Medical Complex, Manama, Kingdom of Bahrain
- Department of Internal Medicine, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | | | - Fatima Ali Mohammed
- Department of Nephrology, Salmaniya Medical Complex, Manama, Kingdom of Bahrain
| | - Sindhan Veeramuthu
- Department of Pharmacology and Therapeutics, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Mona Abdulla Taher
- Department of Nephrology, Salmaniya Medical Complex, Manama, Kingdom of Bahrain
| | | | - Lamees Jawad
- Department of Laboratory Medicine, Salmaniya Medical Complex, Manama, Kingdom of Bahrain
| | - Eman Farid
- Department of Laboratory Medicine, Salmaniya Medical Complex, Manama, Kingdom of Bahrain
- Department of Microbiology, Immunology, and Infectious Diseases, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
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Delanaye P, Cavalier E, Stehlé T, Pottel H. Glomerular Filtration Rate Estimation in Adults: Myths and Promises. Nephron Clin Pract 2024; 148:408-414. [PMID: 38219717 DOI: 10.1159/000536243] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/23/2023] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND In daily practice, glomerular filtration rate (GFR) is estimated with equations including renal biomarkers. Among these biomarkers, serum creatinine remains the most used. However, there are many limitations with serum creatinine, which we will discuss in the current review. We will also discuss how creatinine-based equations have been developed and what we can expect from them in terms of performance to estimate GFR. SUMMARY Different creatinine-based equations have been proposed. We will show the advantages of the recent European Kidney Function Consortium equation. This equation can be used in children and adults. This equation can also be used with some flexibility in different populations. KEY MESSAGES GFR is estimated by creatinine-based equations, but the most important for nephrologists is probably to know the limitations of these equations.
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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
| | - 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
| | - Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
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Miladinova D, Makazlieva T, Peshevska A, Rambabova-Bushljetik I, Poposka D, Majstorov V, Spasovski G. The Current State of Nuclear Nephrology in Modern Medicine. Pril (Makedon Akad Nauk Umet Odd Med Nauki) 2023; 44:7-16. [PMID: 38109445 DOI: 10.2478/prilozi-2023-0042] [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: 12/20/2023]
Abstract
Glomerular filtration rate (GFR) is the most reliable parameter of renal function. Regarding the complexity of the gold standard inulin clearance, different estimating equations have been developed with CKD-EPI creatinine equation recommended as the most reliable one. In some clinical situations where creatinine based equations might not be valid, alternative methods are needed. Nuclear medicine methods for measuring GFR with 51Cr EDTA and 99mTc DTPA have been widely used for decades. There are different methodologies for the measurement of kidney function with radiopharmaceuticals: urinary clearance, plasma clearance, multiple plasma sampling, slope intercept, single sample plasma equation, slope only, and the gamma camera-based method. Greater precision of measuring GFR is needed in certain clinical situations. The most common are diagnosis and follow up of chronic kidney disease and definition of the beginning of replacement therapy. The assessment of renal function is also important for potential kidney donors. In recent years, with the introduction of new chemotherapeutic drugs and targeted therapy, oncologic patients treated with nephrotoxic drugs have become more commonly referred for measuring GFR. The monitoring of renal function is important during treatment in order to detect the transformation from reversible acute kidney injury to irreversible chronic kidney disease as well as in the cases of renal insufficiency reduce the dosage and prevent accumulation of the drug and avoid dosage related toxic effects. Assessment of kidney function using measured mGFR will be an important milestone in the creation of more accurate and expanding personalized medicine principle in current onconephrology practice.
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Affiliation(s)
- Daniela Miladinova
- 1Institute of pathophysiology and nuclear medicine Acad.Isak S Tadzer, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
| | - Tanja Makazlieva
- 1Institute of pathophysiology and nuclear medicine Acad.Isak S Tadzer, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
| | - Aleksandra Peshevska
- 1Institute of pathophysiology and nuclear medicine Acad.Isak S Tadzer, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
| | - Irena Rambabova-Bushljetik
- 2University clinic of nephrology, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
| | - Daniela Poposka
- 3University clinic of radiotherapy and oncology, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
| | - Venjamin Majstorov
- 1Institute of pathophysiology and nuclear medicine Acad.Isak S Tadzer, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
| | - Goce Spasovski
- 2University clinic of nephrology, Faculty of medicine, University Ss Cyril and Methodius, Skopje, RN Macedonia
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Butler FM, Utt J, Mathew RO, Casiano CA, Montgomery S, Wiafe SA, Lampe JW, Fraser GE. Plasma metabolomics profiles in Black and White participants of the Adventist Health Study-2 cohort. BMC Med 2023; 21:408. [PMID: 37904137 PMCID: PMC10617178 DOI: 10.1186/s12916-023-03101-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/03/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Black Americans suffer disparities in risk for cardiometabolic and other chronic diseases. Findings from the Adventist Health Study-2 (AHS-2) cohort have shown associations of plant-based dietary patterns and healthy lifestyle factors with prevention of such diseases. Hence, it is likely that racial differences in metabolic profiles correlating with disparities in chronic diseases are explained largely by diet and lifestyle, besides social determinants of health. METHODS Untargeted plasma metabolomics screening was performed on plasma samples from 350 participants of the AHS-2, including 171 Black and 179 White participants, using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and a global platform of 892 metabolites. Differences in metabolites or biochemical subclasses by race were analyzed using linear regression, considering various models adjusted for known confounders, dietary and/or other lifestyle behaviors, social vulnerability, and psychosocial stress. The Storey permutation approach was used to adjust for false discovery at FDR < 0.05. RESULTS Linear regression revealed differential abundance of over 40% of individual metabolites or biochemical subclasses when comparing Black with White participants after adjustment for false discovery (FDR < 0.05), with the vast majority showing lower abundance in Blacks. Associations were not appreciably altered with adjustment for dietary patterns and socioeconomic or psychosocial stress. Metabolite subclasses showing consistently lower abundance in Black participants included various lipids, such as lysophospholipids, phosphatidylethanolamines, monoacylglycerols, diacylglycerols, and long-chain monounsaturated fatty acids, among other subclasses or lipid categories. Among all biochemical subclasses, creatine metabolism exclusively showed higher abundance in Black participants, although among metabolites within this subclass, only creatine showed differential abundance after adjustment for glomerular filtration rate. Notable metabolites in higher abundance in Black participants included methyl and propyl paraben sulfates, piperine metabolites, and a considerable proportion of acetylated amino acids, including many previously found associated with glomerular filtration rate. CONCLUSIONS Differences in metabolic profiles were evident when comparing Black and White participants of the AHS-2 cohort. These differences are likely attributed in part to dietary behaviors not adequately explained by dietary pattern covariates, besides other environmental or genetic factors. Alterations in these metabolites and associated subclasses may have implications for the prevention of chronic diseases in Black Americans.
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Affiliation(s)
- Fayth M Butler
- Adventist Health Study, Loma Linda University, Loma Linda, CA, USA.
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, 24951 Circle Drive, NH2031, Loma Linda, CA, 92350, USA.
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
- Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA.
- Department of Basic Science, Loma Linda University School of Medicine, Loma Linda, CA, USA.
| | - Jason Utt
- Adventist Health Study, Loma Linda University, Loma Linda, CA, USA
| | - Roy O Mathew
- Division of Nephrology, Department of Medicine, Loma Linda VA Health Care System, Loma Linda, CA, USA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA, USA
| | - Carlos A Casiano
- Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA
- Department of Basic Science, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Suzanne Montgomery
- Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA
- School of Behavioral Health, Loma Linda University, Loma Linda, CA, 92350, USA
| | - Seth A Wiafe
- Center for Leadership in Health Systems, School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Johanna W Lampe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Gary E Fraser
- Adventist Health Study, Loma Linda University, Loma Linda, CA, USA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, 24951 Circle Drive, NH2031, Loma Linda, CA, 92350, USA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA, USA
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Figueroa MAC, Lujambio IM, Gutiérrez TA, Hernández MFP, Ramírez EYE, Guzmán DJ, Sánchez MFL, Morales HFG, Samudio HJG, Sánchez FS, Flores MD, Zamarripa CAJ, Mendoza CCC, Hernández MEO, Velázquez CMO, Flores MS, Orozco DVH, Moreno GYC, Cruz M, de Jesús Peralta Romero J. Association of the rs5186 polymorphism of the AGTR1 gene with decreased eGFR in patients with type 2 diabetes from Mexico City. Nefrologia 2023; 43:546-561. [PMID: 37996337 DOI: 10.1016/j.nefroe.2022.06.010] [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: 09/08/2021] [Revised: 06/10/2022] [Accepted: 06/29/2022] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Early biomarkers search for Diabetic Kidney Disease (DKD) in patients with Type 2 Diabetes Mellitus (T2DM), as genetic markers to identify vulnerable carriers of the disease even before Glomerular Filtration Rate (GFR) decline or microalbuminuria development, has been relevant during the last few years. The rs5186 (A116C) polymorphism of the Angiotensin II Receptor Type I gene (AGTR1), has been associated to multiple effects of renal injury risk, commonly detected in patients with Diabetes Mellitus (DM). It has been described that rs5186 could have an effect in stability proteins that assemble Angiotensin II Receptor Type I (AT1), modifying its action, which is why it should be considered as a risk factor for Chronic Kidney Disease (CKD), characterized by a GFR progressive reduction. Even though, the association between rs5186 AGTR1 gene polymorphism and DKD in patients with T2DM has been controversial, inconclusive, and even absent. This disputable issue might be as a result of association studies in which many and varied clinical phenotypes included are contemplated as CKD inductors and enhancers. Although, the sample sizes studied in patients with T2DM are undersized and did not have a strict inclusion criteria, lacking of biochemical markers or KDOQI classification, which have hindered its examination. OBJECTIVE The aim of our study was to establish an association between rs5186 AGTR1 gene polymorphism and GFR depletion, assessed as a risk factor to DKD development in patients with T2DM. METHODS We analyzed 297 not related patients with T2DM, divided into 221 controls (KDOQI 1) and 76 cases (KDOQI 2). Arterial pressure, anthropometric and biochemical parameters were measured. rs5186 of AGTR1 genotyping was performed by TaqMan assay real-time PCR method. Allele and genotype frequencies, and Hardy-Weinberg equilibrium were measured. Normality test for data distribution was analyzed by Shapiro-Wilk test, variable comparison by Student's t-test for continuous variables, and Chi-squared test for categorical variables; ANOVA test was used for mean comparison of more than two groups. Effect of rs5186 to DKD was estimated by multiple heritability adjustment models for risk variables of DKD. Statistical significance was indicated by p<0.05. Data was analyzed using Statistical Package STATA v11 software. RESULTS Dominant and Over-dominant models showed a likelihood ratio to GFR depletion of 1.89 (1.05-3.39, p=0.031) and 2.01 (1.08-3.73, p=0.023) in patients with T2DM. Risk factor increased to 2.54 (1.10-5.89) in women in Over-dominant model. CONCLUSION In clinical practice, most of nephropathies progress at a slow pace into a total breakdown of renal function, even asymptomatic. This is the first study, reporting that rs5186 polymorphism of AGTR1 gene contribution to GFR depletion, and this could be evaluated as a predisposing factor for DKD in patients with T2DM.
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Affiliation(s)
- Manuel Alejandro Contreras Figueroa
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Ciudad de México, México
| | - Irene Mendoza Lujambio
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Ciudad de México, México
| | - Teresa Alvarado Gutiérrez
- Coordinación Clínica de Educación e Investigación en Salud de la Unidad de Medicina Familiar 31, Instituto Mexicano del Seguro Social, Delegación sur, Ciudad de México, México
| | - María Fernanda Pérez Hernández
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Ciudad de México, México; Red de Medicina Para la Educación, el Desarrollo y la Investigación Científica de Iztacala. MEDICI, Facultad de Estudios Superiores Iztacala, UNAM, Estado de México, México
| | - Evelyn Yazmín Estrada Ramírez
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Departamento de Nefrología del Hospital de Especialidades "Dr. Antonio Fraga Mouret", CMN La Raza, IMSS, Ciudad de México, México
| | - Dominga Jiménez Guzmán
- Departamento de Nefrología del Hospital de Especialidades "Dr. Bernardo Sepúlveda" CMN Siglo XXI, IMSS, Ciudad de México, México; Jefatura de la Unidad de Consulta Externa de la UMAE, Hospital de Alta Especialidad Médica "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México
| | - María Fernanda Lucas Sánchez
- Secretaría de Enseñanza Clínica, Internado y Servicio Social. Facultad de Medicina UNAM, Ciudad de México, México; Becaria de la Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México
| | - Hannia Fernanda González Morales
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Red de Medicina Para la Educación, el Desarrollo y la Investigación Científica de Iztacala. MEDICI, Facultad de Estudios Superiores Iztacala, UNAM, Estado de México, México
| | - Héctor Jaime Gómez Samudio
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México
| | - Fernando Suarez Sánchez
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México
| | - Margarita Díaz Flores
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México
| | - Carlos Alberto Jiménez Zamarripa
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Ciudad de México, México
| | - Claudia Camelia Calzada Mendoza
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Ciudad de México, México
| | - María Esther Ocharán Hernández
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Ciudad de México, México
| | - Cora Mariana Orozco Velázquez
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Secretaría de Enseñanza Clínica, Internado y Servicio Social. Facultad de Medicina UNAM, Ciudad de México, México
| | - Mariana Soto Flores
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Departamento de Formación Integral e Institucional, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México, México
| | - Daniela Vicenta Hernández Orozco
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México; Departamento de Formación Integral e Institucional, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México, México
| | - Gabriela Yanet Cortés Moreno
- Coordinación Nacional de Investigación, Subdirección de Servicios de salud de Petróleos Mexicanos, PEMEX, Ciudad de México, México
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México
| | - José de Jesús Peralta Romero
- Unidad de Investigación Médica en Bioquímica, Unidad Médica de Alta Especialidad "Dr. Bernardo Sepúlveda", Centro Médico Nacional Siglo XXI, IMSS, Ciudad de México, México.
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9
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Mondesert E, Bargnoux AS, Portet F, Laoudj-Chenivesse D, Arbogast S, Badiou S, Brun JF, Kuster N, Raynaud de Mauverger E, Cristol JP. Cystatin C for kidney function assessment in patients with facioscapulohumeral muscular dystrophy. Clin Chim Acta 2023; 544:117328. [PMID: 37031784 DOI: 10.1016/j.cca.2023.117328] [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: 02/17/2023] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND AND AIMS Muscle mass (MM) impairment observed in facioscapulohumeral muscular dystrophy (FSHD) may bias estimated glomerular filtration rate (eGFR) based on creatinine (eGFRcreat). eGFR based on cystatin C (eGFRcys), produced by all nucleated cells, should be an interesting alternative. Main objectives were to compare eGFRcreat and eGRFcys for chronic kidney disease (CKD) staging and for annual eGFR evolution. Secondary objective was to analyse creatinine, cystatin C with measured MM. MATERIAL AND METHODS During 4 years, 159 FSHD patients having one or more creatinine and cystatin C measurements (total samples: n=379), with MM determination by bio-impedancemetry during their follow-up were included. eGFR were determined with CKD-Epi and EKFC equations. RESULTS On first examination samples, mean eGFRcys was significantly lower than mean eGFRcreat of 25.5 and 17.9 ml/min/1.73m2 using CKD-Epi and EKFC equations, respectively. 53.5% (CKD-Epi) and 59.1% (EKFC) of agreement were obtained when using eGFRcys instead of eGFRcreat with reclassifications occurring mainly towards more severe stages. Age was correlated with cystatin C but not with creatinine, MM was correlated with creatinine but not with cystatin C. eGFR decreases >1 ml/min/1.73m2 were more important when using eGFRcys instead of eGFRcreat (CKD-Epi: 37.5 vs 15.4%, p<0.001; EKFC: 34.6 vs 20.2%, p<0.01). CONCLUSION Cystatin C which is independent of MM appears as a promising candidate biomarker for CKD diagnosis and follow-up in FSHD patient.
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Affiliation(s)
- Etienne Mondesert
- Department of Biochemistry, University Hospital of Montpellier, Montpellier, France
| | - Anne-Sophie Bargnoux
- Department of Biochemistry, University Hospital of Montpellier, Montpellier, France; PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
| | - Florence Portet
- Department of Clinical Physiology, University Hospital of Montpellier, France
| | | | - Sandrine Arbogast
- PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
| | - Stéphanie Badiou
- Department of Biochemistry, University Hospital of Montpellier, Montpellier, France; PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
| | - Jean-Frédéric Brun
- PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France; Department of Clinical Physiology, University Hospital of Montpellier, France
| | - Nils Kuster
- Department of Biochemistry, University Hospital of Montpellier, Montpellier, France; PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
| | - Eric Raynaud de Mauverger
- PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France; Department of Clinical Physiology, University Hospital of Montpellier, France
| | - Jean-Paul Cristol
- Department of Biochemistry, University Hospital of Montpellier, Montpellier, France; PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France.
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10
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Hariparshad S, Bhimma R, Nandlal L, Jembere E, Naicker S, Assounga A. The prevalence of chronic kidney disease in South Africa - limitations of studies comparing prevalence with sub-Saharan Africa, Africa, and globally. BMC Nephrol 2023; 24:62. [PMID: 36944928 PMCID: PMC10029276 DOI: 10.1186/s12882-023-03109-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/07/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is a globally significant non-communicable disorder. CKD prevalence varies between countries and within a country. We compared the prevalence rates of CKD in South Africa with sub-Saharan Africa, Africa, and globally. METHODS We registered a systematic review with the International Prospective Register of Systematic Reviews for prevalence studies reporting CKD stages III-V from 2013 to 2021. The analysis sought to explain any significant differences in prevalence rates. The R statistical package was used for data analysis. Comparisons included measures of effect size due to the large sample sizes analysed. We also compared sex differences in prevalence rates, common aetiologies, and type of study methodologies employed. RESULTS Eight studies were analysed, with two from each region. The matched prevalence rates of CKD between the various regions and South Africa showed significant differences, except for one comparison between South Africa and an African study [p = 0.09 (95% CI - 0.04-0.01)]. Both sub-Saharan African studies had a higher prevalence than South Africa. One study in Africa had a higher prevalence, while the other had a lower prevalence, whilst one Global study had a higher prevalence, and the other had a lower prevalence compared to South Africa. The statistical differences analysed using the Cramer's V test were substantially less than 0.1. Thus, differences in comparisons were largely due to differences in sample sizes rather than actual differences. CONCLUSION Variable prevalence rates between regions included disparities in sample size, definitions of CKD, lack of chronicity testing and heterogeneous laboratory estimations of eGFR. Improved consistency and enhanced methods for diagnosing and comparing CKD prevalence are essential.
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Affiliation(s)
- Sudesh Hariparshad
- Department of Nephrology, College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
| | - Rajendra Bhimma
- Department of Paediatrics and Child Health, College of Health Sciences, Mandela School of Medicine, Nelson R, University of KwaZulu-Natal, Durban, South Africa
| | - Louansha Nandlal
- Discipline of Optics and Imaging, College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Edgar Jembere
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa
| | - Saraladevi Naicker
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Alain Assounga
- Department of Nephrology, College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
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11
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Zhong Y, Wu Y, Yang Y, Chen Y, Hui R, Zhang M, Zhang W. Association of MPPED2 gene variant rs10767873 with kidney function and risk of cardiovascular disease in patients with hypertension. J Hum Genet 2023; 68:393-398. [PMID: 36797372 DOI: 10.1038/s10038-022-01118-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/23/2022] [Accepted: 12/25/2022] [Indexed: 02/18/2023]
Abstract
Changes in kidney function and the progression of chronic kidney disease (CKD) are associated with the risk of cardiovascular disease (CVD) and influenced by genetic factors. However, the association between genetic variants and kidney function in patients treated with antihypertensive drugs remains uncertain. This study aimed to examine the association between 30 variants locating at the 22 genes and the risk of kidney function evaluated by the estimated glomerular filtration rate (eGFR) in 1911 patients with hypertension from a Chinese community-based longitudinal cohort (including 1220 participants with CKD and 691 without CKD at baseline). By using multivariate linear regression analysis after adjustment for age, sex, traditional cardiovascular risk factors, and the use of antihypertensive drugs, as well as after correction for multiple comparison, patients with rs10767873T allele of the metallophosphoesterase domain containing 2 (MPPED2) gene were associated with higher level of eGFR (β = 0.041, p = 0.01) and lower levels of serum creatinine (β = -0.068, p = 0.001) and serum uric acid (β = -0.047, p = 0.02). But variant rs10767873 was not found to be associated with the risk of CKD, regardless of the types of antihypertensive drugs used. During a median 2.25-year follow-up, 152 CVD events were documented. Interestingly, patients with the rs10767873TT genotype had an increased risk of CVD events (hazard ratio, 1.74, 95% confidence interval, 1.11 to 2.73; p = 0.02) compared with patients carrying the wild-type genotype of rs10767873CC. In conclusion, our findings suggest variant rs10767873 of the MPPED2 gene is associated with kidney function and risk of CVD in Chinese hypertensive patients.
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Affiliation(s)
- Yixuan Zhong
- National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Yiyi Wu
- National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China.,The First Affiliated Hospital of Anhui University of Science and Technology (The First People's Hospital of Huainan City), Huainan, 232000, Anhui, China
| | - Yunyun Yang
- The First Affiliated Hospital of Xiamen University; Clinical laboratory; Xiamen Key Laboratory of Genetic Testing, Xiamen, 361000, Fujian, China
| | - Yu Chen
- National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Rutai Hui
- National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Mei Zhang
- The First Affiliated Hospital of Anhui University of Science and Technology (The First People's Hospital of Huainan City), Huainan, 232000, Anhui, China.
| | - Weili Zhang
- National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China. .,Central-China Branch of National Center for Cardiovascular Diseases, Henan Cardiovascular Disease Center, Fuwai Central-China Hospital, Zhengzhou, 450046, China.
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12
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Zingano CP, Escott GM, Rocha BM, Porgere IF, Moro CC, Delanaye P, Silveiro SP. 2009 CKD-EPI glomerular filtration rate estimation in Black individuals outside the United States: a systematic review and meta-analysis. Clin Kidney J 2023; 16:322-330. [PMID: 38021375 PMCID: PMC10665997 DOI: 10.1093/ckj/sfac238] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Indexed: 12/01/2023] Open
Abstract
Background The 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation is the most used equation to estimate glomerular filtration rate (GFR), with race being a factor thereof, increasing GFR by 16% in self-identified Black persons compared with non-Black persons. However, recent publications indicate that it might overestimate GFR for Black adults outside the USA. In this meta-analysis, we assessed the accuracy, evaluated by the percentage of estimated GFR within 30% of measured GFR (P30), of the 2009 CKD-EPI equation in estimating GFR with and without the race coefficient in Black individuals outside the United States of America (USA). Methods We searched MEDLINE and Embase from inception to 9 July 2022, with no language restriction, supplemented by manual reference searches. Studies that assessed the CKD-EPI P30 accuracy with or without the race coefficient in Black adults outside the USA with an adequate method of GFR measurement were included. Data were extracted by independent pairs of reviewers and were pooled using a random-effects model. Results We included 11 studies, with a total of 1834 Black adults from South America, Africa and Europe. The race coefficient in the 2009 CKD-EPI equation significantly decreased P30 accuracy {61.9% [95% confidence interval (CI) 53-70%] versus 72.9% [95% CI 66.7-78.3%]; P = .03}. Conclusions Outside the USA, the 2009 CKD-EPI equation should not be used with the race coefficient, even though the 2009 CKD-EPI equation is not sufficiently accurate either way (<75%). Thus we endorse the Kidney Disease: Improving Global Outcomes guidelines to use exogenous filtration markers when this may impact clinical conduct.
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Affiliation(s)
- Carolina Pires Zingano
- Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto, Alegre
| | - Gustavo Monteiro Escott
- Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto, Alegre
| | - Bruna Martins Rocha
- Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto, Alegre
| | - Indianara Franciele Porgere
- Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto, Alegre
| | - Candice Cristine Moro
- Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto, Alegre
| | - 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
| | - Sandra Pinho Silveiro
- Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto, Alegre
- Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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13
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Tang Y, Hou L, Sun T, Li S, Cheng J, Xue D, Wang X, Du Y. Improved equations to estimate GFR in Chinese children with chronic kidney disease. Pediatr Nephrol 2023; 38:237-247. [PMID: 35467153 DOI: 10.1007/s00467-022-05552-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 01/23/2022] [Accepted: 01/24/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND There is currently no specific equation for estimating glomerular filtration rate (GFR) in Chinese children with chronic kidney disease (CKD). The commonly used equations are less robust than expected; we therefore sought to derive more appropriate equations for GFR estimation. METHODS A total of 751 Chinese children with CKD were divided into 2 groups, training group (n = 501) and validation group (n = 250). In the training group, a univariate linear regression model was used to calculate predictability of variables associated with GFR. Residuals were compared to determine multivariate predictability of GFR in the equation. Standard regression techniques for Gaussian data were used to determine coefficients of GFR-estimating equations after logarithmic transformation of measured GFR (iGFR), height/serum creatinine (height/Scr), cystatin C, blood urea nitrogen (BUN), and height. These were compared with other well-known equations using the validation group. RESULTS Median 99mTc-DTPA GFR was 90.1 (interquartile range: 67.3-108.6) mL/min/1.73 m2 in training dataset. Our CKD equation, eGFR (mL/min/1.73 m2) = 91.021 [height(m)/Scr(mg/dL)/2.7]0.443 [1.2/Cystatin C(mg/L)]0.335 [13.7/BUN (mg/dL)]-0.095 [ 0.991male] [height(m)/1.4]0.275, was derived. This was further tested in the validation group, with percentages of eGFR values within 30% and 15% of iGFR (P30 and P15) of 76.00% and 48.40%, respectively. For centres with no access to cystatin C, a creatinine-based equation, eGFR (mL/min/1.73 m2) = 89.674 [height(m)/Scr(mg/dL)/2.7]0.579 [ 1.007male] [height(m)/1.4]0.187, was derived, with P30 and P15 73.60% and 49.20%, respectively. These were significantly higher compared to other well-known equations (p < 0.05). CONCLUSION We developed equations for GFR estimation in Chinese children with CKD based on Scr, BUN and cystatin C. These are more accurate than commonly used equations in this population.
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Affiliation(s)
- Ying Tang
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ling Hou
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Tingting Sun
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shanping Li
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Junli Cheng
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dan Xue
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiuli Wang
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yue Du
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
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14
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Pottel H, Cavalier E, Björk J, Nyman U, Grubb A, Ebert N, Schaeffner E, Eriksen BO, Melsom T, Lamb EJ, Mariat C, Dubourg L, Hansson M, Littmann K, Sundin PO, Åkesson A, Larsson A, Rule A, Delanaye P. Standardization of serum creatinine is essential for accurate use of unbiased estimated GFR equations: evidence from three cohorts matched on renal function. Clin Kidney J 2022; 15:2258-2265. [PMID: 36381377 PMCID: PMC9664577 DOI: 10.1093/ckj/sfac182] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND Differences in the performance of estimated glomerular filtration rate (eGFR) equations have been attributed to the mathematical form of the equations and to differences between patient demographics and measurement methods. We evaluated differences in serum creatinine (SCr) and eGFR in cohorts matched for age, sex, body mass index (BMI) and measured GFR (mGFR). METHODS White North Americans from Minnesota (n = 1093) and the Chronic Renal Insufficiency Cohort (CRIC) (n = 1548) and White subjects from the European Kidney Function Consortium (EKFC) cohort (n = 7727) were matched for demographic patient characteristics (sex, age ± 3 years, BMI ± 2.5 kg/m2) and renal function (mGFR ± 3 ml/min/1.73 m2). SCr was measured with isotope dilution mass spectrometry (IDMS)-traceable assays in the Minnesota and EKFC cohorts and with non-standardized SCr assays recalculated to IDMS in the CRIC. The Minnesota cohort and CRIC shared a common method to measure GFR (renal clearance of iothalamate), while the EKFC cohort used a variety of exogenous markers and methods, all with recognized sufficient accuracy. We compared the SCr levels and eGFR predictions [for Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and EKFC equations] of patients fulfilling these matching criteria. RESULTS For 305 matched individuals, mean SCr (mg/dL) was not different between the Minnesota and EKFC cohorts (females 0.83 ± 0.20 versus 0.86 ± 0.23, males 1.06 ± 0.23 versus 1.12 ± 0.37; P > .05) but significantly different from the CRIC [females 1.13 ± 0.23 (P < .0001), males 1.42 ± 0.31 (P < .0001)]. The CKD-EPI equations performed better than the EKFC equation in the CRIC, while the opposite was true in the Minnesota and EKFC cohorts. CONCLUSION Significant differences in SCr concentrations between the Minnesota and EKFC cohorts versus CRIC were observed in subjects with the same level of mGFR and equal demographic characteristics and can be explained by the difference in SCr calibration.
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Affiliation(s)
- 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, CHU Sart Tilman, Liège, Belgium
| | - Jonas Björk
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
- Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden
| | - Ulf Nyman
- Department of Translational Medicine, Division of Medical Radiology, Lund University, Malmö, Sweden
| | - Anders Grubb
- Department of Clinical Chemistry, Skåne University Hospital, Lund, Lund University, Sweden
| | - Natalie Ebert
- Charité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany
| | - Elke Schaeffner
- Charité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany
| | - Björn O Eriksen
- Section of Nephrology, University Hospital of North Norway and Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsö, Norway
| | - Toralf Melsom
- Section of Nephrology, University Hospital of North Norway and Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsö, Norway
| | - Edmund J Lamb
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Christophe Mariat
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| | - Laurence Dubourg
- Néphrologie, Dialyse, Hypertension et Exploration Fonctionnelle Rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, France
| | - Magnus Hansson
- Function area Clinical Chemistry, Karolinska University Laboratory, Karolinska University Hospital Huddinge and Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
| | - Karin Littmann
- Division of Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institute, Huddinge, Sweden
| | - Per-Ola Sundin
- Department of Geriatrics, School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Anna Åkesson
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
- Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden
| | - Anders Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Andrew Rule
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Pierre Delanaye
- 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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Gaziano L, Sun L, Arnold M, Bell S, Cho K, Kaptoge SK, Song RJ, Burgess S, Posner DC, Mosconi K, Robinson-Cohen C, Mason AM, Bolton TR, Tao R, Allara E, Schubert P, Chen L, Staley JR, Staplin N, Altay S, Amiano P, Arndt V, Ärnlöv J, Barr EL, Björkelund C, Boer JM, Brenner H, Casiglia E, Chiodini P, Cooper JA, Coresh J, Cushman M, Dankner R, Davidson KW, de Jongh RT, Donfrancesco C, Engström G, Freisling H, de la Cámara AG, Gudnason V, Hankey GJ, Hansson PO, Heath AK, Hoorn EJ, Imano H, Jassal SK, Kaaks R, Katzke V, Kauhanen J, Kiechl S, Koenig W, Kronmal RA, Kyrø C, Lawlor DA, Ljungberg B, MacDonald C, Masala G, Meisinger C, Melander O, Moreno Iribas C, Ninomiya T, Nitsch D, Nordestgaard BG, Onland-Moret C, Palmieri L, Petrova D, Garcia JRQ, Rosengren A, Sacerdote C, Sakurai M, Santiuste C, Schulze MB, Sieri S, Sundström J, Tikhonoff V, Tjønneland A, Tong T, Tumino R, Tzoulaki I, van der Schouw YT, Monique Verschuren W, Völzke H, Wallace RB, Wannamethee SG, Weiderpass E, Willeit P, Woodward M, Yamagishi K, Zamora-Ros R, Akwo EA, Pyarajan S, Gagnon DR, Tsao PS, Muralidhar S, Edwards TL, Damrauer SM, Joseph J, Pennells L, Wilson PW, Harrison S, Gaziano TA, Inouye M, Baigent C, Casas JP, Langenberg C, Wareham N, Riboli E, Gaziano J, Danesh J, Hung AM, Butterworth AS, Wood AM, Di Angelantonio E. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses. Circulation 2022; 146:1507-1517. [PMID: 36314129 PMCID: PMC9662821 DOI: 10.1161/circulationaha.122.060700] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/18/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. METHODS Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. RESULTS There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min-1·1.73 m-2, compared with those with eGFR between 60 and 105 mL·min-1·1.73 m-2. Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1·1.73 m-2, with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1·1.73 m-2. Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. CONCLUSIONS In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches that preserve and modulate kidney function.
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Affiliation(s)
- Liam Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Luanluan Sun
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | | | - Steven Bell
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Kelly Cho
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Stephen K. Kaptoge
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
| | - Stephen Burgess
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
| | - Daniel C. Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
| | - Katja Mosconi
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Cassianne Robinson-Cohen
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
| | - Amy M. Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
| | - Thomas R. Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Ran Tao
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
| | - Lingyan Chen
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - James R. Staley
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Natalie Staplin
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
| | - Servet Altay
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Johan Ärnlöv
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- School of Health and Social Studies, Dalarna University, Falun, Sweden (J.A.)
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
- Studium Patavinum (E.C.), University of Padua, Italy
- Department of Medicine (V.T.), University of Padua, Italy
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
- Amsterdam University Medical Centers, VUMC, the Netherlands (R.T.d.J.)
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
- The George Institute for Global Health (M.W.), Imperial College London, UK
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
- School of Public Health, University of Washington, Seattle (R.A.K.)
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
- Helmholtz Zentrum München, Munich, Germany (C. Meisinger)
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
- London School of Hygiene & Tropical Medicine, UK (D.N.)
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
- Department of Public Health (A.T.), University of Copenhagen, Denmark
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
- Consejería de Sanidad del Principado de Asturias Oviedo, Asturias, Spain (J.R.Q.G.)
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
- College of Public Health, University of Iowa (R.B.W.)
- University College London, UK (S.G.W.)
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
| | - Elizabeth L.M. Barr
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
| | - Cecilia Björkelund
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
| | - Jolanda M.A. Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
| | - Hermann Brenner
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
| | | | - Paolo Chiodini
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
| | - Jackie A. Cooper
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
| | - Mary Cushman
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
| | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
| | - Karina W. Davidson
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
| | | | - Chiara Donfrancesco
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
| | - Gunnar Engström
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
| | - Agustín Gómez de la Cámara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
| | - Graeme J. Hankey
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
| | - Per-Olof Hansson
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
| | - Alicia K. Heath
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
| | - Ewout J. Hoorn
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
| | - Hironori Imano
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
| | - Simerjot K. Jassal
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jussi Kauhanen
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
| | - Stefan Kiechl
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
| | - Wolfgang Koenig
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
| | | | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
| | - Deborah A. Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
| | - Börje Ljungberg
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
| | - Conor MacDonald
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
| | | | - Olle Melander
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
| | - Conchi Moreno Iribas
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
| | - Toshiharu Ninomiya
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
| | | | - Børge G. Nordestgaard
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
| | - Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - Luigi Palmieri
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- School of Health and Social Studies, Dalarna University, Falun, Sweden (J.A.)
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
- Studium Patavinum (E.C.), University of Padua, Italy
- Department of Medicine (V.T.), University of Padua, Italy
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
- Amsterdam University Medical Centers, VUMC, the Netherlands (R.T.d.J.)
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
- The George Institute for Global Health (M.W.), Imperial College London, UK
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
- School of Public Health, University of Washington, Seattle (R.A.K.)
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
- Helmholtz Zentrum München, Munich, Germany (C. Meisinger)
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
- London School of Hygiene & Tropical Medicine, UK (D.N.)
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
- Department of Public Health (A.T.), University of Copenhagen, Denmark
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
- Consejería de Sanidad del Principado de Asturias Oviedo, Asturias, Spain (J.R.Q.G.)
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
- College of Public Health, University of Iowa (R.B.W.)
- University College London, UK (S.G.W.)
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
| | - Dafina Petrova
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
| | | | - Annika Rosengren
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
| | - Carmen Santiuste
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
| | - Matthias B. Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
| | - Sabina Sieri
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Department of Public Health (A.T.), University of Copenhagen, Denmark
| | - Tammy Tong
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
| | - Rosario Tumino
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
| | - Ioanna Tzoulaki
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - W.M. Monique Verschuren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - Henry Völzke
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
| | | | | | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
| | - Mark Woodward
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
| | - Elvis A. Akwo
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
| | - Saiju Pyarajan
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
| | - David R. Gagnon
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
| | - Philip S. Tsao
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
| | - Todd L. Edwards
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
| | - Scott M. Damrauer
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
| | - Jacob Joseph
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Lisa Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Peter W.F. Wilson
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
| | - Seamus Harrison
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Thomas A. Gaziano
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
| | - Michael Inouye
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
| | - Colin Baigent
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Claudia Langenberg
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
| | - Nick Wareham
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
| | - Elio Riboli
- The George Institute for Global Health (M.W.), Imperial College London, UK
| | - J.Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
| | - Adriana M. Hung
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Angela M. Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
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16
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Dhont E, Windels C, Snauwaert E, Van Der Heggen T, de Jaeger A, Dhondt L, Delanghe J, Croubels S, Walle JV, De Paepe P, De Cock PA. Reliability of glomerular filtration rate estimating formulas compared to iohexol plasma clearance in critically ill children. Eur J Pediatr 2022; 181:3851-3866. [PMID: 36053381 DOI: 10.1007/s00431-022-04570-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 07/14/2022] [Accepted: 07/18/2022] [Indexed: 11/30/2022]
Abstract
UNLABELLED Accurate renal function assessment is crucial to guide intensive care decision-making and drug dosing. Estimates of glomerular filtration rate (eGFR) are routinely used in critically ill children; however, these formulas were never evaluated against measured GFR (mGFR) in this population. We aimed to assess the reliability of common eGFR formulas compared to iohexol plasma clearance (CLiohexol) in a pediatric intensive care (PICU) population. Secondary outcomes were the prevalence of acute kidney injury (AKI) (by pRIFLE criteria) and augmented renal clearance (ARC) (defined as standard GFR for age + 2 standard deviations (SD)) within 48 h after admission based on mGFR and eGFR by the revised Schwartz formula and the difference between these two methods to diagnose AKI and ARC. In children, between 0 and 15 years of age, without chronic renal disease, GFR was measured by CLiohexol and estimated using 26 formulas based on creatinine (Scr), cystatine C (CysC), and betatrace protein (BTP), early after PICU admission. eGFR and mGFR results were compared for the entire study population and in subgroups according to age, using Bland-Altman analysis with calculation of bias, precision, and accuracy expressed as percentage of eGFR results within 30% (P30) and 10% (P10) of mGFR. CLiohexol was measured in 98 patients. Mean CLiohexol (± SD) was 115 ± 54 ml/min/1.73m2. Most eGFR formulas showed overestimation of mGFR with large bias and poor precision reflected by wide limits of agreement (LoA). Bias was larger with CysC- and BTP-based formulas compared to Scr-based formulas. In the entire study population, none of the eGFR formulas showed the minimal desired P30 > 75%. The widely used revised Schwartz formula overestimated mGFR with a high percentage bias of - 18 ± 51% (95% confidence interval (CI) - 29; - 9), poor precision with 95% LoA from - 120 to 84% and insufficient accuracy reflected by P30 of only 51% (95% CI 41; 61), and P10 of 21% (95% CI 13; 66) in the overall population. Although performance of Scr-based formulas was worst in children below 1 month of age, exclusion of neonates and younger children did not result in improved agreement and accuracy. Based on mGFR, prevalence of AKI and ARC within 48 h was 17% and 45% of patients, respectively. There was poor agreement between revised Schwartz formula and mGFR to diagnose AKI (kappa value of 0.342, p < 0.001; sensitivity of 30%, 95% CI 5; 20%) and ARC (kappa value of 0.342, p < 0.001; sensitivity of 70%, 95% CI 33; 58). CONCLUSION In this proof-of-concept study, eGFR formulas were found to be largely inaccurate in the PICU population. Clinicians should therefore use these formulas with caution to guide drug dosing and therapeutic interventions in critically ill children. More research in subgroup populations is warranted to conclude on generalizability of these study findings. CLINICALTRIALS gov NCT05179564, registered retrospectively on January 5, 2022. WHAT IS KNOWN • Both acute kidney injury and augmented renal clearance may be present in PICU patients and warrant adaptation of therapy, including drug dosing. • Biomarker-based eGFR formulas are widely used for GFR assessment in critically ill children, although endogenous filtration biomarkers have important limitations in PICU patients and eGFR formulas have never been validated against measured GFR in this population. WHAT IS NEW • eGFR formulas were found to be largely inaccurate in the PICU population when compared to measured GFR by iohexol clearance. Clinicians should therefore use these formulas with caution to guide drug dosing and therapeutic interventions in critically ill children. • Iohexol plasma clearance could be considered an alternative for accurate GFR assessment in PICU patients.
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Affiliation(s)
- Evelyn Dhont
- Department of Pediatric Intensive Care, Pediatric Intensive Care 1K12D, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
- Faculty of Medicine and Health Sciences, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium.
| | - Charlotte Windels
- Department of General Practice and Primary Health Care, Ghent University, Ghent, Belgium
| | - Evelien Snauwaert
- Department of Pediatric Nephrology, Ghent University Hospital, Ghent, Belgium
| | - Tatjana Van Der Heggen
- Faculty of Medicine and Health Sciences, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium
| | - Annick de Jaeger
- Department of Pediatric Intensive Care, Pediatric Intensive Care 1K12D, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - Laura Dhondt
- Faculty of Veterinary Medicine, Department of Pathobiology, Pharmacology and Zoological Medicine, Ghent University, Ghent, Belgium
| | - Joris Delanghe
- Faculty of Medicine and Health Sciences, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Siska Croubels
- Faculty of Veterinary Medicine, Department of Pathobiology, Pharmacology and Zoological Medicine, Ghent University, Ghent, Belgium
| | - Johan Vande Walle
- Department of Pediatric Nephrology, Ghent University Hospital, Ghent, Belgium
| | - Peter De Paepe
- Faculty of Medicine and Health Sciences, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium
- Department of Pharmacy, Ghent University Hospital, Ghent, Belgium
| | - Pieter A De Cock
- Department of Pediatric Intensive Care, Pediatric Intensive Care 1K12D, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
- Faculty of Medicine and Health Sciences, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium
- Department of Pharmacy, Ghent University Hospital, Ghent, Belgium
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17
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Asociación del polimorfismo rs5186 del gen AGTR1 con disminución de la TFGe en pacientes con diabetes tipo 2 de la Ciudad de México. Nefrologia 2022. [DOI: 10.1016/j.nefro.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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18
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Fuhrmann M, Schwaeble Santamaria A, Scott R, Meeusen JW, Fernandes M, Venz J, Rothe V, Stämmler F, Ehrich J, Schiffer E. Analytical Validation of GFRNMR: A Blood-Based Multiple Biomarker Assay for Accurate Estimation of Glomerular Filtration Rate. Diagnostics (Basel) 2022; 12:diagnostics12051120. [PMID: 35626276 PMCID: PMC9139323 DOI: 10.3390/diagnostics12051120] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/23/2022] [Accepted: 04/28/2022] [Indexed: 02/01/2023] Open
Abstract
Accurate and precise monitoring of kidney function is critical for a timely and reliable diagnosis of chronic kidney disease (CKD). The determination of kidney function usually involves the estimation of the glomerular filtration rate (eGFR). We recently reported the clinical performance of a new eGFR equation (GFRNMR) based on the nuclear magnetic resonance (NMR) measurement of serum myo-inositol, valine, and creatinine, in addition to the immunoturbidometric quantification of serum cystatin C, age and sex. We now describe the analytical performance evaluation of GFRNMR according to the Clinical and Laboratory Standards Institute guidelines. Within-laboratory coefficients of variation (CV%) of the GFRNMR equation did not exceed 4.3%, with a maximum CV% for repeatability of 3.7%. Between-site reproducibility (three sites) demonstrated a maximum CV% of 5.9%. GFRNMR stability was demonstrated for sera stored for up to 8 days at 2–10°C and for NMR samples stored for up to 10 days in the NMR device at 6 ± 2°C. Substance interference was limited to 4/40 (10.0%) of the investigated substances, resulting in an underestimated GFRNMR (for glucose and metformin) or a loss of results (for naproxen and ribavirin) for concentrations twice as high as usual clinical doses. The analytical performances of GFRNMR, combined with its previously reported clinical performance, support the potential integration of this NMR method into clinical practice.
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Affiliation(s)
- Markus Fuhrmann
- Department of Research and Development, numares AG, 93053 Regensburg, Germany; (M.F.); (A.S.S.); (J.V.); (V.R.); (F.S.)
| | - Amauri Schwaeble Santamaria
- Department of Research and Development, numares AG, 93053 Regensburg, Germany; (M.F.); (A.S.S.); (J.V.); (V.R.); (F.S.)
| | - Renee Scott
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; (R.S.); (J.W.M.)
| | - Jeffrey W. Meeusen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; (R.S.); (J.W.M.)
| | | | - John Venz
- Department of Research and Development, numares AG, 93053 Regensburg, Germany; (M.F.); (A.S.S.); (J.V.); (V.R.); (F.S.)
| | - Victoria Rothe
- Department of Research and Development, numares AG, 93053 Regensburg, Germany; (M.F.); (A.S.S.); (J.V.); (V.R.); (F.S.)
| | - Frank Stämmler
- Department of Research and Development, numares AG, 93053 Regensburg, Germany; (M.F.); (A.S.S.); (J.V.); (V.R.); (F.S.)
| | - Jochen Ehrich
- Children’s Hospital, Hannover Medical School, 30625 Hannover, Germany;
| | - Eric Schiffer
- Department of Research and Development, numares AG, 93053 Regensburg, Germany; (M.F.); (A.S.S.); (J.V.); (V.R.); (F.S.)
- Correspondence: ; Tel.: +49-941-280-949-00
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19
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Wang IK, Yen TH, Chen CH, Hsu SP, Sun Y, Lien LM, Chang WL, Lai TC, Chen PL, Chen CC, Huang PH, Lin CH, Su YC, Lin MC, Li CY, Sung FC, Hsu CY. Intravenous tissue plasminogen activator for acute ischemic stroke in patients with renal dysfunction. QJM 2022; 114:848-856. [PMID: 32770252 DOI: 10.1093/qjmed/hcaa237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/06/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study used the Taiwan Stroke Registry data to evaluate the efficacy and safety of intravenous tissue plasminogen activator (tPA) in treating acute ischemic stroke in patients with renal dysfunction. DESIGN We identified 3525 ischemic stroke patients and classified them into two groups according to the estimated glomerular filtration rate (eGFR) at the emergency department: ≥60, and <60 ml/min/1.73 m2 or on dialysis and by the propensity score from August 2006 to May 2015. The odds ratio of poor functional outcome (modified Rankin Scale ≥2) was calculated for patients with tPA treatment (N = 705), compared to those without tPA treatment (N = 2820), by eGFR levels, at 1, 3 and 6 months after ischemic stroke. We also evaluated the risks of intracerebral hemorrhage, upper gastrointestinal bleeding, mortality, between the two groups by eGFR levels. RESULTS Among patients with eGFR levels of <60 ml/min/1.73 m2, tPA therapy reduced the odds ratio of poor functional outcome to 0.60 (95% confidence interval = 0.42-0.87) at 6 months after ischemic stroke. The tPA therapy was not associated with increased overall risk of upper gastrointestinal bleeding, but with increased risk of intracerebral hemorrhage. The low eGFR was not a significant risk factor of intracerebral hemorrhage among ischemic stroke patients receiving tPA treatment. CONCLUSIONS tPA for acute ischemic stroke could improve functional outcomes without increasing the risks of upper gastrointestinal bleeding for patients with or without renal dysfunction. The low eGFR was not a significant risk factor for intracerebral hemorrhage among patients receiving tPA treatment.
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Affiliation(s)
- I-K Wang
- From the Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
- Department of Internal Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Division of Nephrology, China Medical University Hospital, Taichung, Taiwan
| | - T-H Yen
- Division of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan
- Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - C-H Chen
- Department of Neurology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Stroke Center, National Cheng Kung University Hospital, Tainan, Taiwan
| | - S-P Hsu
- Department of Neurology, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan
| | - Y Sun
- Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - L-M Lien
- Department of Neurology, Shin Kong Wu-Ho-Su Memorial Hospital, Taipei, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - W-L Chang
- Department of Neurology, Show Chwan Memorial Hospital, Changhua County, Taiwan
| | - T-C Lai
- Division of Neurology Department of Internal Medicine, Cheng Hsin General Hospital, Taipei, Taiwan
| | - P-L Chen
- Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Neurology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - C-C Chen
- Department of Neurology, St Martin De Porres Hospital, Chiayi City, Taiwan
| | - P-H Huang
- Department of Neurology, Cathay General Hospital, Taipei, Taiwan
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - C-H Lin
- Section of Neurology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Y-C Su
- Management Office for Health Data
| | - M-C Lin
- Management Office for Health Data
| | - C-Y Li
- From the Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
- Department of Anesthesiology, China Medical University Hospital, Taichung, Taiwan
| | - F-C Sung
- Department of Health Services Administration, China Medical University College of Public Health, Taichung 404, Taiwan
- Department of Food Nutrition and Health Biotechnology, Asia University, Lioufeng Road, Wufeng, Taichung, Taiwan
| | - C Y Hsu
- From the Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
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20
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Delanaye P, Mariat C, Cavalier E, Glassock RJ, Gemenne F, Pottel H. The « race » correction in estimating glomerular filtration rate: an European point of view. Curr Opin Nephrol Hypertens 2021; 30:525-530. [PMID: 34456237 DOI: 10.1097/mnh.0000000000000739] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
PURPOSE OF REVIEW There is currently a heated debate ongoing whether or not to use the race coefficient for black people in the Modification of Diet in Renal Diseases and Chronic Kidney Disease Epidemiology-equation. The use of the race coefficient is thought by several American authors as a source of discrimination. RECENT FINDINGS It has recently been shown that the race coefficient is inaccurate in European and African black people. Therefore, it seems that the race correction is more a correction for black Americans, rather than for black in general. This 'correction' at the glomerular filtration rate (GFR)-level has been criticized, as it is misleading, and should be abandoned, as it has not been shown that GFR is different between black and white people. However, as differences in creatinine generation between black and white people might exist, a correction or adjustment, different for black and white people, at the creatinine level might be required, very similar to the different scaling of creatinine for males and females. SUMMARY The current debate on the race coefficient is particularly difficult because of the absence of good scientific data in black subjects and there lies the real discrimination in our opinion. We therefore call for future dedicated studies, both in Europe and USA.
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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
| | - Christophe Mariat
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liège (ULiege), CHU Sart Tilman, Liège, Belgium
| | - Richard J Glassock
- Department of Medicine, Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - François Gemenne
- The Hugo Observatory, University of Liège (ULiege), Liège, Belgium
- Sciences Po, Paris, France
| | - Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
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21
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Batte A, Berrens Z, Murphy K, Mufumba I, Sarangam ML, Hawkes MT, Conroy AL. Malaria-Associated Acute Kidney Injury in African Children: Prevalence, Pathophysiology, Impact, and Management Challenges. Int J Nephrol Renovasc Dis 2021; 14:235-253. [PMID: 34267538 PMCID: PMC8276826 DOI: 10.2147/ijnrd.s239157] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 05/26/2021] [Indexed: 01/02/2023] Open
Abstract
Acute kidney injury (AKI) is emerging as a complication of increasing clinical importance associated with substantial morbidity and mortality in African children with severe malaria. Using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria to define AKI, an estimated 24–59% of African children with severe malaria have AKI with most AKI community-acquired. AKI is a risk factor for mortality in pediatric severe malaria with a stepwise increase in mortality across AKI stages. AKI is also a risk factor for post-discharge mortality and is associated with increased long-term risk of neurocognitive impairment and behavioral problems in survivors. Following injury, the kidney undergoes a process of recovery and repair. AKI is an established risk factor for chronic kidney disease and hypertension in survivors and is associated with an increased risk of chronic kidney disease in severe malaria survivors. The magnitude of the risk and contribution of malaria-associated AKI to chronic kidney disease in malaria-endemic areas remains undetermined. Pathways associated with AKI pathogenesis in the context of pediatric severe malaria are not well understood, but there is emerging evidence that immune activation, endothelial dysfunction, and hemolysis-mediated oxidative stress all directly contribute to kidney injury. In this review, we outline the KDIGO bundle of care and highlight how this could be applied in the context of severe malaria to improve kidney perfusion, reduce AKI progression, and improve survival. With increased recognition that AKI in severe malaria is associated with substantial post-discharge morbidity and long-term risk of chronic kidney disease, there is a need to increase AKI recognition through enhanced access to creatinine-based and next-generation biomarker diagnostics. Long-term studies to assess severe malaria-associated AKI’s impact on long-term health in malaria-endemic areas are urgently needed.
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Affiliation(s)
- Anthony Batte
- Child Health and Development Centre, Makerere University College of Health Sciences, Kampala, Uganda
| | - Zachary Berrens
- Department of Pediatrics, Pediatric Critical Care Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kristin Murphy
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ivan Mufumba
- CHILD Research Laboratory, Global Health Uganda, Kampala, Uganda
| | | | - Michael T Hawkes
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Andrea L Conroy
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
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22
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Pottel H, Delay A, Maillard N, Mariat C, Delanaye P. 20-year longitudinal follow-up of measured and estimated glomerular filtration rate in kidney transplant patients. Clin Kidney J 2021; 14:909-916. [PMID: 33777374 PMCID: PMC7986444 DOI: 10.1093/ckj/sfaa034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 02/17/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The slopes of estimated glomerular filtration rate (eGFR) equations are used in the longitudinal follow-up of transplant patients. A 30% reduction in eGFR over 2 years is often used to predict the subsequent risk of mortality or end-stage renal disease. Whether, at the individual level, such changes in eGFR correspond to changes in measured GFR (mGFR) is actually unknown. METHODS The performance of serum creatinine-based eGFR equations was compared with mGFR during the longitudinal follow-up of 20 years in a monocentric study of 417 transplanted patients. RESULTS The accuracy within 30% for the eGFR equations varied between 70 and 75%. All eGFR equations showed a similar pattern, very like the mGFR time profiles. Individual changes (slopes) of mGFR or eGFR were predictive of graft loss in the next months or years, following the decline in GFR, with no evidence for a difference. However, although the tendency is the same as for mGFR, the percentage of transplant patients with a >30% GFR decrease in the last period before graft loss is significantly lower for eGFR than for mGFR, with discordant results from mGFR in ~25% of the cases. CONCLUSIONS All eGFR equations showed similar trends as mGFR, but eGFR predictions may not be very useful at the individual patient level.
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Affiliation(s)
- Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium
| | - Agnès Delay
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| | - Nicolas Maillard
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| | - Christophe Mariat
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| | - Pierre Delanaye
- Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium
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23
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Amin M, Tang S, Shalamanova L, Taylor RL, Wylie S, Abdullah BM, Whitehead KA. Polyamine biomarkers as indicators of human disease. Biomarkers 2021; 26:77-94. [PMID: 33439737 DOI: 10.1080/1354750x.2021.1875506] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The significant increase of periodontitis, chronic kidney disease (CKD), Alzheimer's disease and cancer can be attributed to an ageing population. Each disease produces a range of biomarkers that can be indicative of disease onset and progression. Biomarkers are defined as cellular (intra/extracellular components and whole cells), biochemical (metabolites, ions and toxins) or molecular (nucleic acids, proteins and lipids) alterations which are measurable in biological media such as human tissues, cells or fluids. An interesting group of biomarkers that merit further investigation are the polyamines. Polyamines are a group of molecules consisting of cadaverine, putrescine, spermine and spermidine and have been implicated in the development of a range of systemic diseases, in part due to their production in periodontitis. Cadaverine and putrescine within the periodontal environment have demonstrated cell signalling interfering abilities, by way of leukocyte migration disruption. The polyamines spermine and spermidine in tumour cells have been shown to inhibit cellular apoptosis, effectively prolonging tumorigenesis and continuation of cancer within the host. Polyamine degradation products such as acrolein have been shown to exacerbate renal damage in CKD patients. Thus, the use of such molecules has merit to be utilized in the early indication of such diseases in patients.
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Affiliation(s)
- Mohsin Amin
- Microbiology at Interfaces, Manchester Metropolitan University, Manchester, UK.,Department of Engineering and Technology, Built Environment, Liverpool John Moores University, Liverpool, UK
| | - Shiying Tang
- Microbiology at Interfaces, Manchester Metropolitan University, Manchester, UK.,Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Liliana Shalamanova
- Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Rebecca L Taylor
- Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Stephen Wylie
- Department of Engineering and Technology, Civil Engineering, Liverpool John Moores University, Liverpool, UK
| | - Badr M Abdullah
- Department of Engineering and Technology, Built Environment, Liverpool John Moores University, Liverpool, UK
| | - Kathryn A Whitehead
- Microbiology at Interfaces, Manchester Metropolitan University, Manchester, UK.,Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
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Liu Q, Zhu W, Bian G, Liang W, Zhao C, Yang F. Application of the sigma metrics to evaluate the analytical performance of cystatin C and design a quality control strategy. Ann Clin Biochem 2021; 58:203-210. [PMID: 33393354 DOI: 10.1177/0004563220988032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Sigma metrics are commonly used to evaluate laboratory management. In this study, we aimed to evaluate the analytical performance of cystatin C using sigma metrics and to develop an individualized quality control scheme for cystatin C concentrations. METHODS Bias was calculated based on the samples used for the external quality assessment. The coefficient of variation was calculated using six months of internal quality control measurements at two levels, and desirable specification derived from biological variation was used as the quality goal. The sigma value for cystatin C was calculated using the above data. The internal quality control scheme and improvement measures were formulated according to the Westgard sigma standards for batch size and quality goal index. RESULTS The sigma values for cystatin C, for quality control levels 1 and 2, were 3.04 and 4.95, respectively. The 13s/22s/R4s/41s/6x multirules (n = 6, R = 1), with a batch size of 45 patient samples, were selected as the internal quality control schemes for cystatin C. With different concentrations of cystatin C, the power function graph showed a probability for error detection of 94% and 100% and a probability for false rejection of 4% and 2%, respectively. According to the quality goal index of cystatin C, its precision needs to be improved. CONCLUSIONS With a 'desirable' biological variation of 6.50%, the Westgard rule 13s/22s/R4s/41s/6x (n = 6, R = 1, batch size of 45) with high efficacy for determining the detection error is recommended for individualized quality control schemes of cystatin C.
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Affiliation(s)
- Qian Liu
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, PR China
| | - Wenjun Zhu
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, PR China
| | - Guangrong Bian
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, PR China
| | - Wei Liang
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, PR China
| | - Changxin Zhao
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, PR China
| | - Fumeng Yang
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, PR China
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Zafari N, Lotfaliany M, O'Keefe GJ, Kishore K, Torkamani N, MacIsaac RJ, Churilov L, Ekinci EI. Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes. J Clin Endocrinol Metab 2021; 106:e61-e73. [PMID: 33090207 DOI: 10.1210/clinem/dgaa722] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 10/16/2020] [Indexed: 01/30/2023]
Abstract
AIMS To evaluate diagnostic performance of glomerular filtration rate (GFR) estimated by modification of diet in renal disease (MDRD), chronic kidney disease epidemiology collaboration (CKD-EPI), full age spectrum (FAS), and revised Lund-Malmö (r-LM) equations in adults with diabetes. METHODS Individuals were included in this cross-sectional study if they had at least 1 measurement of technetium-99m diethylenetriamine-pentaacetic acid (99mTc-DTPA) GFR (mGFR) and serum creatinine (1487 patients with 2703 measures). GFR calculated by estimation equations was compared with mGFR. Diagnostic performance was assessed using concordance correlation coefficient (CCC), bias, precision, accuracy, reduced major axis regression (RMAR), and Bland-Altman plot. Analysis was repeated in subgroups based on sex, diabetes type, Hemoglobin A1C, and GFR level. RESULTS Of all patients, 1189 (86%) had type 2 diabetes. Mean mGFR, MDRD, CKD-EPI, FAS, and revised Lund-Malmö eGFR were 66, 72, 74, 71, and 67 mL/min/1.73m2, respectively. Overall, the r-LM had the highest CCC (0.83), lowest bias (-1.4 mL/min/1.73 m2), highest precision (16.2 mL/min/1.73 m2), and highest accuracy (P10 = 39%). The RMAR (slope, intercept) in r-LM, FAS, MDRD, and CKD-EPI was 1.18, -13.35; 0.97, -2.9; 1, -6.4, and 1.04, -11.3, respectively. The Bland-Altman plot showed that r-LM had the lowest mean difference and the narrowest 95% limit of agreement (-1.0, 54.1 mL/min/1.73 m2), while mean difference was more than 5-fold higher in FAS, MDRD, and CKD-EPI (-5.2, -6.3, and -8.2, respectively). CONCLUSIONS In adults with diabetes the revised Lund-Malmö performs better than MDRD, CKD-EPI, and FAS in calculating point estimates of GFR.
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Affiliation(s)
- Neda Zafari
- Melbourne Medical School, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
| | - Mojtaba Lotfaliany
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Victoria, Australia
| | - Graeme J O'Keefe
- Department of Molecular Imaging and Therapy, Austin Health, and University of Melbourne, Melbourne, Victoria, Australia
| | - Kartik Kishore
- Data Analytics Research and Evaluation (DARE) Centre, Austin Health and The University of Melbourne, Heidelberg, Victoria, Australia
| | - Niloufar Torkamani
- Melbourne Medical School, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
- Department of Endocrinology, Austin Health, Melbourne, Victoria, Australia
| | - Richard J MacIsaac
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne and University of Melbourne, Victoria, Australia
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
| | - Elif I Ekinci
- Melbourne Medical School, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
- Department of Endocrinology, Austin Health, Melbourne, Victoria, Australia
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Gentile G, Angeli F, Reboldi G. Performance of creatinine- and cystatin C-based formulas to estimate glomerular filtration rate. Eur J Intern Med 2020; 80:16-17. [PMID: 32800636 DOI: 10.1016/j.ejim.2020.08.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 08/10/2020] [Indexed: 11/15/2022]
Affiliation(s)
- Giorgio Gentile
- Royal Cornwall Hospitals NHS Trust, Truro, UK; The University of Exeter Medical School, Exeter, UK; Department of Medicine, University of Perugia, Perugia, Italy
| | - Fabio Angeli
- Department of Medicine and Surgery, University of Insubria, Varese, Italy; Department of Medicine and Cardiopulmonary Rehabilitation, Maugeri, Care and Research Institutes, IRCCS Tradate, Varese, Italy
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Bang JB, Oh CK. Mathematical model for early functional recovery pattern of kidney transplant recipients using serum creatinine. KOREAN JOURNAL OF TRANSPLANTATION 2020; 34:167-177. [PMID: 35769063 PMCID: PMC9186847 DOI: 10.4285/kjt.2020.34.3.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 08/17/2020] [Accepted: 08/18/2020] [Indexed: 11/24/2022] Open
Abstract
Background Commonly used equations for calculating estimated glomerular filtration rate (eGFR) are not applicable when serum creatinine (Scr) is rapidly changing like the post-transplant period. A new mathematical model applicable to the post-transplant period is required. Methods All 623 patients who underwent kidney transplantation from January 2008 to June 2018 at a single institute were included to validate the Scr mathematical equations, and 14,360 Scr laboratory results from the time of re-perfusion to 30 days post-transplantation were analyzed. Results In the validation of model equations, linear regression analysis yielded adjusted R2 values of 0.972 and 0.925 for equation 5 (applicable when renal function is changing) and equation 1 (applicable when renal function is unchanged), respectively. In selected cases, the population comprised individuals who presented an adjusted R2 value >0.95 with equation 5. Linear regression analysis showed that adjusted R2 values and Pearson's correlation coefficients for equation 5 and equation 1 were 0.994 and 0.997 (P<0.001) and 0.956 and 0.978 (P<0.001), respectively. Most of the eGFR formulas are mathematically applicable only if the creatinine input rate equals the creatinine output rate when comparing between commonly used eGFRs and creatinine clearance using the modeled equation. Conclusions The proposed equations can provide a new perspective for calculating renal function during the early phase of kidney transplantation. A study of a correlation between the equations and long-term graft outcomes is required.
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Affiliation(s)
- Jun Bae Bang
- Department of Surgery, Ajou University School of Medicine, Suwon, Korea
| | - Chang-Kwon Oh
- Department of Surgery, Ajou University School of Medicine, Suwon, Korea
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Efficacy and Safety of Nicorandil in Preventing Contrast-Induced Nephropathy after Elective Percutaneous Coronary Intervention: A Pooled Analysis of 1229 Patients. J Interv Cardiol 2020; 2020:4527816. [PMID: 32982608 PMCID: PMC7492920 DOI: 10.1155/2020/4527816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 08/08/2020] [Accepted: 08/17/2020] [Indexed: 11/17/2022] Open
Abstract
Background Nicorandil in reducing contrast-induced nephropathy (CIN) following elective percutaneous coronary intervention (PCI) is an inconsistent practice. This article aims to evaluate the efficacy and safety of nicorandil in preventing CIN after elective PCI. Methods This is a pooled analysis of patients treated with elective PCI. The primary outcome was the incidence of CIN. The secondary outcomes were major adverse events, including mortality, heart failure, recurrent myocardial infarction, stroke, and renal replacement therapy. Results A total of 1229 patients were recruited in our study. With statistical significance, nicorandil lowered the risk of CIN (odds ratio = 0.26; 95% confidence interval = 0.16–0.44; P < 0.00001; I2 = 0%) in patients who underwent elective PCI. In addition, no significant differences were observed in the incidence of mortality, heart failure, recurrent myocardial infarction, stroke, and renal replacement therapy between the two groups (P > 0.05). Conclusions Our article indicated that nicorandil could prevent CIN without increasing the major adverse events. Furthermore, sufficiently powered and randomized clinical studies are still needed in order to determine the role of nicorandil in preventing CIN after elective PCI.
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Shen R, Zhang W, Ming S, Li L, Peng Y, Gao X. Gender-related differences in the performance of sequential organ failure assessment (SOFA) to predict septic shock after percutaneous nephrolithotomy. Urolithiasis 2020; 49:65-72. [PMID: 32372319 DOI: 10.1007/s00240-020-01190-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 04/24/2020] [Indexed: 12/15/2022]
Abstract
The study aims to identify whether gender differences exist in the sequential organ failure assessment (SOFA) score to the extent of affecting its predictive accuracy for septic shock after percutaneous nephrolithotomy (PCNL). A retrospective study of 612 patients undergoing PCNL was performed. The SOFA scores of male and female groups were compared to identify any gender differences. The ROC curve was used to find differences between the original and adjusted SOFA scores. Postoperative septic shock developed in 21 (3.43%) cases. A marginally significant discrepancy in median SOFA scores between genders was discovered in a subgroup of patients < 40 years old (p = 0.048). A gender difference existed in the SOFA score after PCNL, with greater proportion of high scores in female patients (p = 0.011). Male patients had a higher proportion of ≥ 2 sub-score in hepatic and renal systems than female patients, caused by their higher preoperative bilirubin and creatinine (p < 0.05). An adjusted SOFA score was created to replace the original postoperative SOFA score with the perioperative changed values of bilirubin and creatinine. Performance of the adjusted SOFA score for predicting septic shock was comparable with the original SOFA score (AUC 0.987 vs. 0.985, p = 0.932). Under the premise of ensuring 100% sensitivity, the adjusted SOFA score reduced the 43.7% (31/71) false-positive rate for predicting septic shock compared with the original SOFA score. In conclusion, the gender should not be neglected when applying SOFA score for patients after PCNL. The adjusted SOFA score eliminates negative effects caused by gender differences in predicting septic shock.
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Affiliation(s)
- Rong Shen
- Department of Urology, Changhai Hospital, Second Military Medical University, 168 Changhai Rd, Shanghai, 200433, China
| | - Wei Zhang
- Department of Urology, Changhai Hospital, Second Military Medical University, 168 Changhai Rd, Shanghai, 200433, China
| | - Shaoxiong Ming
- Department of Urology, Changhai Hospital, Second Military Medical University, 168 Changhai Rd, Shanghai, 200433, China
| | - Ling Li
- Department of Urology, Changhai Hospital, Second Military Medical University, 168 Changhai Rd, Shanghai, 200433, China
| | - Yonghan Peng
- Department of Urology, Changhai Hospital, Second Military Medical University, 168 Changhai Rd, Shanghai, 200433, China.
| | - Xiaofeng Gao
- Department of Urology, Changhai Hospital, Second Military Medical University, 168 Changhai Rd, Shanghai, 200433, China.
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Radak D, Neskovic M, Otasevic P, Isenovic ER. Renal Dysfunction Following Elective Endovascular Aortic Aneurysm Repair. Curr Vasc Pharmacol 2020; 17:133-140. [PMID: 29149818 DOI: 10.2174/1570161115666171116163203] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 10/31/2017] [Accepted: 10/31/2017] [Indexed: 02/01/2023]
Abstract
Abdominal aortic aneurysm (AAA) is a degenerative disease of the aortic wall with potentially fatal complications. Open repair (OR) was considered the gold standard, until the emergence of endovascular aneurysm repair (EVAR), which is less invasive and equally (if not more) effective. As the popularity of endovascular procedures grows, related complications become more evident, with kidney damage being one of them. Although acute kidney injury (AKI) following EVAR is relatively common, its true incidence is still uncertain. Also, there is insufficient data concerning long-term renal outcomes after EVAR, especially with repeated contrast agent exposure. Despite the lack of firm evidence on the effectiveness of individual strategies, it is evident that prevention of AKI following EVAR requires a multifactorial approach. This review focuses on recent findings based on human studies regarding the current evidence of renal impairment after EVAR, its quantification and strategies for its prevention.
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Affiliation(s)
- Djodje Radak
- Department of Vascular Surgery, Dedinje Cardiovascular Institute, Belgrade University School of Medicine, Belgrade 11040, Serbia
| | - Mihailo Neskovic
- Department of Vascular Surgery, Dedinje Cardiovascular Institute, Belgrade University School of Medicine, Belgrade 11040, Serbia
| | - Petar Otasevic
- Department of Vascular Surgery, Dedinje Cardiovascular Institute, Belgrade University School of Medicine, Belgrade 11040, Serbia
| | - Esma R Isenovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Sciences Vinca, University of Belgrade, Mike Petrovica Alasa 12-14, Belgrade 11000, Serbia
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Agarwal R, Delanaye P. Glomerular filtration rate: when to measure and in which patients? Nephrol Dial Transplant 2020; 34:2001-2007. [PMID: 30520986 DOI: 10.1093/ndt/gfy363] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 10/16/2018] [Indexed: 02/06/2023] Open
Abstract
Of the glomerular, tubular and endocrine functions of the kidney, nephrologists have mostly focused their attention on the glomerular functions-albuminuria and glomerular filtration rate (GFR)-to grade the severity of chronic kidney disease (CKD). Although both albuminuria and GFR are associated with renal and cardiovascular morbidity and mortality, the utility of measured GFR (mGFR) has been questioned. GFR when measured adequately is the most precise measure of glomerular function and can be useful to individualize therapy among patients with CKD. In situations where estimated GFR is known to provide imprecise estimates of glomerular function, for example, sarcopenia and advanced cirrhosis, the measurement of GFR may be especially important. We discuss several clinical situations where mGFR can potentially influence the quality of life or complications of therapy because of interventions based on imperfect knowledge of GFR. We reason that although large databases may not detect the benefits of mGFR at the population level, precision medicine requires that therapy be individualized based on the best estimate of GFR that can be obtained particularly when the risk of harm is increased. The recent standardization of mGFRs is a step in the right direction and may help in treating the individual patient with CKD with a lower risk of complications and a better quality of life. We call for research in these subgroups of patients where it is clinically felt that mGFR is useful for clinical decision-making.
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Affiliation(s)
- Rajiv Agarwal
- Division of Nephrology, Department of Medicine, Indiana University and Veterans Administration Medical Center, Indianapolis, IN, USA
| | - Pierre Delanaye
- Department of Nephrology, Dialysis, Transplantation, University of Liège (CHU ULg), Liège, Belgium
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Kooshki H, Abbaszadeh R, Heidari R, Akbariqomi M, Mazloumi M, Shafei S, Absalan M, Tavoosidana G. Developing a DNA aptamer-based approach for biosensing cystatin-c in serum: An alternative to antibody-based methods. Anal Biochem 2019; 584:113386. [DOI: 10.1016/j.ab.2019.113386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 07/22/2019] [Accepted: 08/03/2019] [Indexed: 12/28/2022]
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Intraregional differences in renal function in the Northern Netherlands: The Lifelines Cohort Study. PLoS One 2019; 14:e0223908. [PMID: 31613916 PMCID: PMC6793867 DOI: 10.1371/journal.pone.0223908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 10/01/2019] [Indexed: 11/24/2022] Open
Abstract
Background Although the interregional disparity in chronic kidney disease (CKD) prevalence has been reported globally, little is known about differences in CKD prevalence within a region. We aimed to study the intraregional distribution of renal function in the Northern Netherlands and identify determinants of geographical differences in renal function. Methods We included 143,735 participants from the Lifelines population-based cohort in the Northern Netherlands. Spatial analysis was performed to identify regional clusters of lower eGFR (cold spots) and higher eGFR (hot spots) at the postal code level, without and with adjustment for clinical risk factors. Multivariate logistic regression was used to identify the contribution of neighborhood-level health-related behaviors, socioeconomic status, and environmental factors (air pollution parameters, urbanity) to regional clustering of lower eGFR. Results Significant spatial clustering of renal function was found for eGFR as well as for early stage renal function impairment (eGFR<90 ml/min/1.73 m2), (p<0.001). Spatial clustering persisted after adjustment of eGFR for clinical risk factors. In adjusted cold spots, the aggregate eGFR was lower (mean ± SD: 96.5±4.8 vs. 98.5±4.0 ml/min/1.73 m2, p = 0.001), and the prevalence of early stage renal function impairment (35.8±10.9 vs. 28.7±9.8%, p<0.001) and CKD stages 3–5 was higher (median (interquartile range): 1.2(0.1–2.4) vs 0(0–1.4)%, p<0.001) than in hot spots. In multivariable logistic regression, exposure to NO2 (Odd ratio [OR], 1.45; 95% confidence interval [95% CI], 1.19 to 1.75, p<0.001) was associated with cold spots (lower renal function), whereas proportion of fat intake in the diet (OR, 0.68; 95%CI, 0.48–0.97, P = 0.031) and income (OR, 0.91; 95%CI, 0.86–0.96, p<0.001) for median level income) were inversely related. Conclusions Significant intraregional clustering of renal function, early renal function impairment and CKD were observed in the Northern Netherlands even after adjustment for renal function-related clinical risk factors. Environmental (air pollution), neighborhood-level socioeconomic factors and diet are determinants of intraregional renal function distribution. Spatial analysis might be a useful adjunct to guide public health strategies for the prevention of CKD.
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Helmersson-Karlqvist J, Ridefelt P, Boija EE, Nordin G. Lower creatinine concentration values and lower inter-laboratory variation among Swedish hospital laboratories in 2014 compared to 1996: results from the Equalis external quality assessment program. ACTA ACUST UNITED AC 2019; 57:838-844. [DOI: 10.1515/cclm-2018-0670] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 10/18/2018] [Indexed: 11/15/2022]
Abstract
Abstract
Background
Creatinine measurement for estimation of glomerular filtration rate (GFR) is a frequently used laboratory test. Differences in analytic creatinine methods have caused large inter-laboratory variation. International and national standardization efforts have been made in the last decade.
Methods
This study describes the results of the standardization efforts in Sweden by summarizing data for creatinine concentration in blood plasma in the Equalis quality assessment program during 1996–2014.
Results
Non-compensated Jaffe methods dominated in 1996–2001 (91 of 103 laboratories; 90%) and were then gradually replaced by either compensated Jaffe methods or enzymatic creatinine methods. In 2014 a majority of Swedish hospital laboratories (139 of 159; 87%) used enzymatic methods. The reported mean creatinine value by the Swedish laboratories was about 10 μmol/L higher than the isotope dilution mass spectrometry (IDMS) assured reference value in 2003, but consistent with the reference value from 2009 to 2014. The inter-laboratory CV was 7%–9% for creatinine values until 2007, and thereafter gradually decreased to about 4%–5% in 2014.
Conclusions
The introduction of enzymatic methods in Swedish laboratories has contributed to achieving a low inter-laboratory variation. Also, the reported values are lower for enzymatic methods compared to Jaffe methods, and the values obtained with enzymatic methods were consistent with IDMS certified values established at reference laboratories. Thus, many Swedish hospital laboratories reported 10 μmol/L lower, and more true, creatinine concentrations in 2012 than in 2003, which may cause bias in longitudinal studies.
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Affiliation(s)
| | - Peter Ridefelt
- Department of Medical Sciences, Clinical Chemistry , Uppsala University Hospital , Uppsala , Sweden
| | - Elisabet Eriksson Boija
- External Quality Assessment for Clinical Laboratory Investigations (Equalis) , Uppsala , Sweden
| | - Gunnar Nordin
- External Quality Assessment for Clinical Laboratory Investigations (Equalis) , Uppsala , Sweden
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The value of serum cystatin C in early evaluation of renal insufficiency in patients undergoing chemotherapy: a systematic review and meta-analysis. Cancer Chemother Pharmacol 2019; 83:561-571. [PMID: 30610366 DOI: 10.1007/s00280-018-3762-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/18/2018] [Indexed: 02/07/2023]
Abstract
PURPOSE Several studies have shown that cystatin C levels can be used to detect decline in renal function in cancer patients receiving chemotherapy, and can serve as a supplement to creatinine level measurement for early detection of renal insufficiency. Nevertheless, use of the parameter remains controversial. This study aimed to assess the value of serum cystatin C levels in evaluation of early renal insufficiency due to chemotherapy. METHODS Studies were retrieved from PubMed, Ovid Embase, the Web of Science, the Cochrane Library, Ovid, and the CNKI databases up to May 15, 2018. Serum levels of cystatin C before and after chemotherapy were evaluated for its ability to assess renal function. RESULTS A total of 12 studies, including 1775 participants, met our inclusion and exclusion criteria. Pooled analysis revealed that the levels of serum cystatin C in cancer patients after chemotherapy were significantly higher than those of patients prior to treatment [standard mean difference (SMD) = 0.54, 95% CI 0.34-0.74, P = 0.0000]. Compared to creatinine, serum cystatin C increased significantly in the early phases of glomerular filtration rate (GFR) change before and after chemotherapy (GFR ≥ 90 ml/min/1.73 m2, P < 0.05 vs. P > 0.05, 5.83%; 60 < GFR < 90 ml/min/1.73 m2, P < 0.01 vs. P > 0.01, 38.83%) and increased more substantially in the later phases (GFR < 60 ml/min/1.73 m2, P < 0.01 vs. P < 0.01, 70.87% vs. 23.09%). However, creatinine decreased even in the early phases and did not increase in an obvious manner until the later phases (GFR < 60 ml/min/1.73 m2, P < 0.01, 23.09%). The GFR values were derived from measured methods. CONCLUSIONS Cystatin C may be superior to creatinine for the detection of minor changes in GFR in early stages of renal insufficiency secondary to chemotherapy. More studies are needed to further verify this result.
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Xie D, Shi H, Xie J, Ding Y, Zhang W, Ni L, Wu Y, Lu Y, Chen B, Wang H, Ren H, Wang W, Liu N, Chen N. A Validation Study on eGFR Equations in Chinese Patients With Diabetic or Non-diabetic CKD. Front Endocrinol (Lausanne) 2019; 10:581. [PMID: 31507533 PMCID: PMC6718123 DOI: 10.3389/fendo.2019.00581] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 08/08/2019] [Indexed: 11/13/2022] Open
Abstract
Aims: It remains controversial to choose the optimal equation to estimate glomerular filtration rate (GFR) in chronic kidney disease (CKD) patients with diabetes. Materials and Methods: Two hundred and fifteen diabetic CKD patients and 192 non-diabetic CKD patients were enrolled in this study. Iohexol GFR, serum creatinine (SCr), and Cystatin C(CysC) were measured simultaneously for each patient. SCr- and CysC-based estimated GFR (eGFR) were calculated through eight equations, including three CKD-EPI equations, Revised Lund-Malmö study equation (RLM), CAPA equation, and three Full Age Spectrum (FAS) equations. Bias, precision, and accuracy were compared among eGFR equations with iohexol-GFR serving as measured GFR (mGFR). Independent predictive factors of accuracy were explored using multivariate logistic regression analysis. Results: In the diabetic group, CKD-EPISCr-CysC showed the best performance among three CKD-EPI equations (interquartile range of 13.88 ml/min/1.73 m2 and 30% accuracy of 72.56%). Compared to CKD-EPISCr-CysC, the other five equations did not significantly improve the performance of GFR estimates. Mostly, eGFR equations were less accurate in diabetic group than in non-diabetic group. Significant differences were found in different mGFR range (P < 0.001). The multivariate logistic regression analysis identified that BMI, mGFR, and diabetic kidney disease (DKD) status were independent predictors of accuracy of three equations in diabetic group. HbA1c was a predictor of accuracy of CKD-EPISCr and CKD-EPICysC in diabetic group. Conclusions: This study showed that eGFR equations were less accurate in the diabetic group than in the non-diabetic group. CKD-EPIScr-CysC had the best performance among CKD-EPI equations in Chinese diabetic CKD patients. The other five equations did not significantly improve the performance of GFR estimates. BMI, mGFR, DKD status, and HbA1c were independent factors associated with accuracy in eGFR equations.
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Affiliation(s)
- Danshu Xie
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Shi
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyuan Xie
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Ding
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Zhang
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liyan Ni
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yifan Wu
- Biomedical and Health Informatics, University of Washington, Seattle, WA, United States
| | - Yimin Lu
- University of Lausanne, Lausanne, Switzerland
| | - Bing Chen
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongrui Wang
- Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hong Ren
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiming Wang
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Liu
- Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Nan Chen
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Nan Chen
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Björk J, Bäck SE, Ebert N, Evans M, Grubb A, Hansson M, Jones I, Lamb EJ, Martus P, Schaeffner E, Sjöström P, Nyman U. GFR estimation based on standardized creatinine and cystatin C: a European multicenter analysis in older adults. Clin Chem Lab Med 2018; 56:422-435. [PMID: 28985182 DOI: 10.1515/cclm-2017-0563] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 08/17/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Although recommended by the Kidney Disease Improving Global Outcomes, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPICR) creatinine equation was not targeted to estimate glomerular filtration rate (eGFR) among older adults. The Berlin Initiative Study (BIS1CR) equation was specifically developed in older adults, and the Lund-Malmö revised (LMRCR) and the Full Age Spectrum (FASCR) equations have shown promising results in older adults. Our aim was to validate these four creatinine equations, including addition of cystatin C in a large multicenter cohort of Europeans ≥70 years. METHODS A total of 3226 individuals (2638 with cystatin C) underwent GFR measurement (mGFR; median, 44 mL/min/1.73 m2) using plasma iohexol clearance. Bias, precision (interquartile range [IQR]), accuracy (percent of estimates ±30% of mGFR, P30), eGFR accuracy diagrams and probability diagrams to classify mGFR<45 mL/min/1.73 m2 were compared. RESULTS The overall results of BIS1CR/CKD-EPICR/FASCR/LMRCR were as follows: median bias, 1.7/3.6/0.6/-0.7 mL/min/1.73 m2; IQR, 11.6/12.3/11.1/10.5 mL/min/1.73 m2; and P30, 77.5%/76.4%/80.9%/83.5% (significantly higher for LMR, p<0.001). Substandard P30 (<75%) was noted for all equations at mGFR<30 mL/min/1.73 m2, and at body mass index values <20 and ≥35 kg/m2. LMRCR had the most stable performance across mGFR subgroups. Only LMRCR and FASCR had a relatively constant small bias across eGFR levels. Probability diagrams exhibited wide eGFR intervals for all equations where mGFR<45 could not be confidently ruled in or out. Adding cystatin C improved P30 accuracy to 85.7/86.8/85.7/88.7 for BIS2CR+CYS/CKD-EPICR+CYS/FASCR+CYS/MEANLMR+CAPA. CONCLUSIONS LMRCR and FASCR seem to be attractive alternatives to CKD-EPICR in estimating GFR by creatinine-based equations in older Europeans. Addition of cystatin C leads to important improvement in estimation performance.
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Affiliation(s)
- Jonas Björk
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.,Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden
| | - Sten Erik Bäck
- Department of Clinical Chemistry, Skåne University Hospital, Lund, Sweden
| | - Natalie Ebert
- Division of Nephrology and Intensive Care Medicine, Charite´ Campus Virchow, Berlin, Germany
| | - Marie Evans
- Department of Clinical Sciences Intervention and Technology, Karolinska Institute and Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Anders Grubb
- Department of Clinical Chemistry, Skåne University Hospital, Lund, Sweden
| | - Magnus Hansson
- Department of Clinical Chemistry, Karolinska Institute and Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Ian Jones
- Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Edmund J Lamb
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent, UK
| | - Peter Martus
- Institute of Medical Biostatistics, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Elke Schaeffner
- Division of Nephrology and Intensive Care Medicine, Charite´ Campus Virchow, Berlin, Germany
| | - Per Sjöström
- Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Ulf Nyman
- Department of Translational Medicine, Division of Medical Radiology, Lund University, Malmö, Sweden, Phone: +46-733-842244
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Bostan Gayret Ö, Taşdemir M, Erol M, Tekin Nacaroğlu H, Zengi O, Yiğit Ö. Are there any new reliable markers to detect renal injury in obese children? Ren Fail 2018; 40:416-422. [PMID: 30035656 PMCID: PMC6060377 DOI: 10.1080/0886022x.2018.1489284] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
AIM The aim of this study was to examine the serum and urine levels of kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), osteopontin (OPN), matrix metalloproteinase-9 (MMP-9), and serum Cystatin-C to determine the renal effect of obesity in obese children. METHODS Seventy-two obese and 35 non-obese healthy children were included in this study. Blood pressure (BP) was evaluated with office measurement. Creatinine, cystatin C, lipids, fasting glucose, and insulin levels were measured, and homeostasis model assessment -insulin resistance (HOMA-IR) was calculated. The urine albumin/creatinine ratio was calculated. The serum and urine KIM-1, NGAL, OPN, and MMP-9 levels were measured. RESULTS Serum cystatin-C, triglyceride, and homeostasis model assessment-insulin resistance (HOMA-IR) index were found to be significantly higher in the obese group (p = .0001), and high-density lipoprotein (HDL) cholesterol was found to be significantly lower (p = .019) in the obese group. No significant differences were found in serum KIM-1, NGAL, OPN or MMP-9 levels between groups (p > .05). No significant differences were found in urine KIM-1 and MMP-9 levels (p > .05), Urine NGAL, and OPN levels were found significantly higher in obese groups (p < .05). CONCLUSIONS According to our results, although serum KIM-1, NGAL, OPN, MMP-9, and urine MMP-9, urine KIM-1 do not appear to be ideal markers to evaluate renal injury in the early period of obesity, the serum levels of cystatin C and urine NGAL, urine OPN can be used as a good marker for assessing the renal effect of obesity which can lead end stage renal disease in pediatric population.
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Affiliation(s)
- Özlem Bostan Gayret
- a Department of Pediatrics , Ministry of Health, Bağcılar Training and Research Hospital , Istanbul , Turkey
| | - Mehmet Taşdemir
- b Department of Pediatrics, Division of Pediatric Nephrology , Koc University Hospital , Istanbul , Turkey
| | - Meltem Erol
- a Department of Pediatrics , Ministry of Health, Bağcılar Training and Research Hospital , Istanbul , Turkey
| | | | - Oğuzhan Zengi
- d Department of Biochemistry , Ministry of Health, Bağcılar Training and Research Hospital , Istanbul , Turkey
| | - Özgül Yiğit
- a Department of Pediatrics , Ministry of Health, Bağcılar Training and Research Hospital , Istanbul , Turkey
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Jørn Erlandsen E, Randers E. Challenges in the measurement of plasma creatinine on the Roche cobas c702. Scandinavian Journal of Clinical and Laboratory Investigation 2018; 78:490-495. [PMID: 30261759 DOI: 10.1080/00365513.2018.1501090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
The aim of this study was to document the differences between two Roche creatinine measurement methods, the CREP2 test on the cobas c702 and the CREA PLUS test on the Modular P. Samples with creatinine isotope dilution mass spectrometry (IDMS) values were analyzed on both instruments. Method comparison using the remaining plasma samples was performed twice, using two different lot numbers of reagents and two different lot numbers of calibrators on both instruments. Medians and percentiles of the plasma creatinine values produced on the Modular P and cobas c702 from 2012 to 2017 were compared. The recovery of samples with IDMS creatinine values (SRM 967a level 1, SRM 967a level 2, serum X and five serum pools from Roche) was 101.7%-110.2% on the cobas c702 and 98.9%-102.6% on the Modular P. Comparison of the two methods showed that the slope was close to 1.0 using linear, Deming and Passing Bablok regressions, but all equations showed a negative intercept, indicating that the cobas c702 overestimates plasma creatinine in relation to the Modular P by 4-6 µmol/L. The median value for routine plasma creatinine lies between 74 and 77 µmol/L for the Modular P and 81 µmol/L for the cobas c702. After the cobas c702 was factorized in September 2016, the median plasma creatinine value decreased to 75 µmol/L. In conclusion, the CREP2 method on the cobas c702 overestimates creatinine by 4-6 μmol/L, which has a significant influence on the estimated glomerular filtration rate (eGFR) in children.
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Affiliation(s)
| | - Else Randers
- b Department of Internal Medicine , Viborg Regional Hospital , Viborg , Denmark
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Björk J, Grubb A, Gudnason V, Indridason OS, Levey AS, Palsson R, Nyman U. Comparison of glomerular filtration rate estimating equations derived from creatinine and cystatin C: validation in the Age, Gene/Environment Susceptibility-Reykjavik elderly cohort. Nephrol Dial Transplant 2018; 33:1380-1388. [PMID: 29040701 PMCID: PMC6070032 DOI: 10.1093/ndt/gfx272] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 08/04/2017] [Indexed: 11/15/2022] Open
Abstract
Background Validation studies comparing glomerular filtration rate (GFR) equations based on standardized creatinine and cystatin C assays in the elderly are needed. The Icelandic Age, Gene/Environment Susceptibility-Kidney cohort was used to compare two pairs of recently developed GFR equations, the revised Lund-Malmö creatinine equation (LMRCr) and the arithmetic mean of the LMRCr and Caucasian, Asian, Paediatric and Adult cystatin C equations (MEANLMR+CAPA), as well as the Full Age Spectrum creatinine equation (FASCr) and its combination with cystatin C (FASCr+Cys), with the corresponding pair of Chronic Kidney Disease Epidemiology Collaboration equations (CKD-EPICr and CKD-EPICr+Cys). Methods A total of 805 individuals, 74-93 years of age, underwent measurement of GFR (mGFR) using plasma clearance of iohexol. Four metrics were used to compare the performance of the GFR equations: bias, precision, accuracy [including the percentage of participants with estimated GFR (eGFR) within 30% of mGFR (P30)] and the ability to detect mGFR <60 mL/min/1.73 m2. Results All equations had a P30 >90%. LMRCr and FASCr yielded significantly higher precision and P30 than CKD-EPICr, while bias was significantly worse. LMRCr, FASCr and CKD-EPICr showed similar ability to detect mGFR <60 mL/min/1.73 m2 based on the area under the receiver operating characteristic curves. MEANLMR+CAPA, FASCr+Cys and CKD-EPICr+Cys all exhibited consistent improvements compared with the corresponding creatinine-based equations. Conclusion None of the creatinine-based equations was clearly superior overall in this community-dwelling elderly cohort. The addition of cystatin C improved all of the creatinine-based equations.
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Affiliation(s)
- Jonas Björk
- Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Anders Grubb
- Department of Clinical Chemistry, Skåne University Hospital, Lund University, Lund, Sweden
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Olafur S Indridason
- Division of Nephrology, Landspitali–The National University Hospital of Iceland, Reykjavik, Iceland
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Runolfur Palsson
- Division of Nephrology, Landspitali–The National University Hospital of Iceland, Reykjavik, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Ulf Nyman
- Department of Translational Medicine, Division of Medical Radiology, Lund University, Malmö, Sweden
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Vodičar J, Pajek J, Hadžić V, Bučar Pajek M. Relation of Lean Body Mass and Muscle Performance to Serum Creatinine Concentration in Hemodialysis Patients. BIOMED RESEARCH INTERNATIONAL 2018; 2018:4816536. [PMID: 29967772 PMCID: PMC6008622 DOI: 10.1155/2018/4816536] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Revised: 04/10/2018] [Accepted: 04/22/2018] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Serum creatinine concentration is an important uremic marker and predictor of survival in dialysis patients. This cross-sectional case-control study was made to quantitatively describe the relation between lean body mass (LBM), physical performance measures, and serum creatinine values. METHODS Ninety hemodialysis patients and 106 controls were measured by bioimpedance spectroscopy, handgrip strength, sit-to-stand test, and biochemical serum tests. Univariate and multivariate general linear models were used to analyze quantitative relations. RESULTS At univariate regression LBM accounted for 13.6% variability of serum creatinine concentration. In adjusted analyses with age, height, and body mass, LBM persisted as the only significant predictor of midweek predialysis serum creatinine concentration. Physical performance measures handgrip strength and sit-to-stand performance did not improve prediction of serum creatinine. With addition of serum urea concentration and residual diuresis the predictive value of the regression model improved to account for 45% of serum creatinine variability. Each kg of LBM was associated with 7.7 μmol/l increase in creatinine concentration (95% CI 3.4-12.1, p=0.001). CONCLUSION Bioimpedance derived LBM has a significant linear relation with predialysis serum creatinine concentrations. Hereby described quantitative relation should help clinicians to better evaluate observed creatinine concentrations of hemodialysis patients when bioimpedance derived LBM is available.
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Affiliation(s)
- Janez Vodičar
- University of Ljubljana, Faculty of Sport, Gortanova 22, 1000 Ljubljana, Slovenia
| | - Jernej Pajek
- Department of Nephrology, University Medical Centre Ljubljana, Zaloška 2, 1525 Ljubljana, Slovenia
| | - Vedran Hadžić
- University of Ljubljana, Faculty of Sport, Gortanova 22, 1000 Ljubljana, Slovenia
| | - Maja Bučar Pajek
- University of Ljubljana, Faculty of Sport, Gortanova 22, 1000 Ljubljana, Slovenia
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Kar S, Paglialunga S, Islam R. Cystatin C Is a More Reliable Biomarker for Determining eGFR to Support Drug Development Studies. J Clin Pharmacol 2018; 58:1239-1247. [PMID: 29775220 DOI: 10.1002/jcph.1132] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 03/13/2018] [Indexed: 11/12/2022]
Abstract
Glomerular filtration rate (GFR) is routinely used as a surrogate endpoint for the development of investigational drugs in clinical trials. GFR and staging of chronic kidney disease are typically assessed by measuring the concentration of endogenous serum biomarkers such as albumin and creatinine. However, creatinine is subject to high biological variability, and levels of creatinine do not rise until nearly 50% of kidney function is damaged, leading to inaccurate chronic kidney disease staging and false negatives. A newer biomarker for GFR, cystatin C, has been shown to be subject to less biological interference and more sensitive to early declines in kidney function. Cystatin C has also been shown to outperform creatinine as an indicator of true GFR and to add information about the occurrence of acute kidney injury. Comparison studies of cystatin C and creatinine continue to demonstrate its increased accuracy and sensitivity for changes in true GFR. While challenges remain for use of cystatin C, international agencies and working groups continue to validate cystatin C as a biomarker and accompanying GFR estimating equations for diagnostic and drug development use. In this review, we summarize these comparison studies, regulatory and industry guidelines, and clinical trial case studies for use of cystatin C in drug development.
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Affiliation(s)
- Sumit Kar
- Global Bioanalytical Services, Celerion, Lincoln, NE, USA
| | | | - Rafiqul Islam
- Global Bioanalytical Services, Celerion, Lincoln, NE, USA
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Estimation et mesure du débit de filtration glomérulaire : en quête de précision. Nephrol Ther 2018; 14 Suppl 1:S59-S66. [DOI: 10.1016/j.nephro.2018.02.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 02/01/2018] [Indexed: 11/22/2022]
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den Bakker E, Gemke RJBJ, Bökenkamp A. Endogenous markers for kidney function in children: a review. Crit Rev Clin Lab Sci 2018; 55:163-183. [DOI: 10.1080/10408363.2018.1427041] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Emil den Bakker
- Department of Pediatric Nephrology, VU Medical Centre, Amsterdam, The Netherlands
| | | | - Arend Bökenkamp
- Department of Pediatric Nephrology, VU Medical Centre, Amsterdam, The Netherlands
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Delanaye P, Guerber F, Scheen A, Ellam T, Bouquegneau A, Guergour D, Mariat C, Pottel H. Discrepancies between the Cockcroft-Gault and Chronic Kidney Disease Epidemiology (CKD-EPI) Equations: Implications for Refining Drug Dosage Adjustment Strategies. Clin Pharmacokinet 2017; 56:193-205. [PMID: 27417226 DOI: 10.1007/s40262-016-0434-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
INTRODUCTION The dosages of many medications require adjustment for renal function. There is debate regarding which equation, the Chronic Kidney Disease Epidemiology (CKD-EPI) equation vs. the Cockcroft-Gault (CG) equation, should be recommended to estimate glomerular filtration rate. METHODS We used a mathematical simulation to determine how patient characteristics influence discrepancies between equations and analyzed clinical data to demonstrate the frequency of such discrepancies in clinical practice. In the simulation, the modifiable variables were sex, age, serum creatinine, and weight. We considered estimated glomerular filtration rate results in mL/min, deindexed for body surface area, because absolute excretory function (rather than per 1.73 m2 body surface area) determines the rate of filtration of a drug at a given plasma concentration. An absolute and relative difference of maximum (±) 10 mL/min and 10 %, respectively, were considered concordant. Clinical data for patients aged over 60 years (n = 9091) were available from one hospital and 25 private laboratories. RESULTS In the simulation, differences between the two equations were found to be influenced by each variable but age and weight had the biggest effect. Clinical sample data demonstrated concordance between CKD-EPI and CG results in 4080 patients (45 %). The majority of discordant results reflected a CG result lower than the CKD-EPI equation. With aging, the CG result became progressively lower than the CKD-EPI result. When weight increased, the opposite occurred. DISCUSSION The choice of equation for excretory function adjustment of drug dosage will have different implications for patients of different ages and body habitus. CONCLUSIONS The optimum equation for drug dosage adjustment should be defined with consideration of individual patient characteristics.
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Affiliation(s)
- Pierre Delanaye
- Division of Nephrology, Dialysis and Transplantation, CHU Sart Tilman, University of Liège (ULg-CHU), 4000, Liège, Belgium.
| | | | - André Scheen
- Division of Clinical Pharmacology, Center for Interdisciplinary Research on Medicines, University of Liège, Liège, Belgium
| | - Timothy Ellam
- Sheffield Kidney Institute, Northern General Hospital and Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK
| | - Antoine Bouquegneau
- Division of Nephrology, Dialysis and Transplantation, CHU Sart Tilman, University of Liège (ULg-CHU), 4000, Liège, Belgium
| | - Dorra Guergour
- Biochemistry Laboratory, Grenoble University Hospital, Grenoble, France
| | - Christophe Mariat
- Division of Nephrology, Dialysis, Transplantation and Hypertension, CHU Hôpital Nord, University Jean Monnet, PRES Université de LYON, Saint-Etienne, France
| | - Hans Pottel
- Department of Public Health and Primary Care, KU, Leuven Kulak, Kortrijk, Belgium
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Isnard Bagnis C, Pieroni L, Inaoui R, Maksud P, Lallauret S, Valantin MA, Tubiana R, Katlama C, Deray G, Courbebaisse M, Tourret J, Tezenas du Montcel S. Impact of lean mass and bone density on glomerular filtration rate estimation in people living with HIV/AIDS. PLoS One 2017; 12:e0186410. [PMID: 29096403 PMCID: PMC5668131 DOI: 10.1371/journal.pone.0186410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 09/29/2017] [Indexed: 11/18/2022] Open
Abstract
Context Chronic kidney disease is a frequent complication in persons living with HIV/AIDS. Although previous studies have suggested that the CKD-EPI formula is appropriate to estimate glomerular filtration rate (GFR) in HIV-positive adults with normal kidney function, the optimal way to estimate GFR in those with Stage 3 chronic kidney disease is not known. Moreover, the impact of muscle mass on creatinine level and GFR estimation is unknown. Aim and methods Our study aimed to evaluate the accuracy of different diagnostic tests available compared to the gold standard measurement of GFR. A group of 44 HIV-1 patients with an estimated GFR between 60 and 30 ml/min/1.73 m2 were included in a single-center cross-sectional study. Serum creatinine and cystatin C were measured. GFR was estimated using Cockcroft-Gault, MDRD, sMDRD, CKD-EPI, CKD-EPIcyst, and CKD-EPIcyst/creat formulae and was measured using isotopic Chrome51 EDTA clearance. Bone density and muscle mass were measured by DXA scan. Results Mean age was 62±10 years. Mean BMI was 23±4 kg/m2. Prevalence of diabetes was 30% and of hypertension was 47%. Viral load was <40 copies/ml for 90% of the patients, and mean CD4 count was 446±191 cells/mm3. Mean measured GFR was 63.4±16.5 ml/min/1.73 m2. All formulae under-estimated GFR. The best relative precision and accuracy were provided by the CKP-EPI formula. sMDRD, CKD-EPIcyst, and CKD-EPIcyst/creat performed worse than the CKD-EPI formula. Body composition did not significantly influence accuracy or precision of GFR estimation. Conclusion In HIV-infected patients in stable immunovirologic conditions with CKD stage 3 and high prevalence of metabolic associated conditions, the CKD-EPI formula performed best, although all formulae under estimate GFR.
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Affiliation(s)
- Corinne Isnard Bagnis
- Nephrology, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
- * E-mail:
| | - Laurence Pieroni
- Biochemistry Department, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Rachida Inaoui
- Rhumatology, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Philippe Maksud
- Nuclear Medicine, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Stéphanie Lallauret
- Biostatistics Unit and Clinical Research Unit, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Marc-Antoine Valantin
- Infectious Diseases, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Roland Tubiana
- Infectious Diseases, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Christine Katlama
- Infectious Diseases, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Gilbert Deray
- Nephrology, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Marie Courbebaisse
- Physiology Department, Hôpital Européen Georges Pompidou, Paris, France et INSERM, Paris, France
| | - Jérôme Tourret
- Nephrology, AP-HP, Groupe Hospitalier Pitié Salpetrière, Paris, France et Université Pierre et Marie Curie, Paris, France
| | - Sophie Tezenas du Montcel
- Biostatistics Unit and Clinical Research Unit, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Sorbonne Université, UPMC Univ Paris 06 UMR_S1136, Paris, France
- Institut Pierre Louis d’EPIdémiologie et de Santé Publique, Paris, France
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48
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Stel VS, Brück K, Fraser S, Zoccali C, Massy ZA, Jager KJ. International differences in chronic kidney disease prevalence: a key public health and epidemiologic research issue. Nephrol Dial Transplant 2017; 32:ii129-ii135. [PMID: 28206610 DOI: 10.1093/ndt/gfw420] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 11/08/2016] [Indexed: 01/09/2023] Open
Abstract
In this narrative review, we studied the association of risk factors for chronic kidney disease (CKD) and CKD prevalence at an ecological level and describe potential reasons for international differences in estimated CKD prevalence across European countries. We found substantial variation in risk factors for CKD such as in the prevalence of diabetes mellitus, obesity, raised blood pressure, physical inactivity, current smoking and salt intake per day. In general, the countries with a higher CKD prevalence also had a higher average score on CKD risk factors, and vice versa. There was no association between cardiovascular mortality rates and CKD prevalence. In countries with a high CKD prevalence, the prevention of noncommunicable diseases may be considered important, and, therefore, all five national response systems (e.g. an operational national policy, strategy or action plan to reduce physical inactivity and/or promote physical activity) have been implemented. Furthermore, both the heterogeneity in study methods to assess CKD prevalence as well as the international differences in the implementation of lifestyle measures will contribute to the observed variation in CKD prevalence. A robust public health approach to reduce risk factors in order to prevent CKD and reduce CKD progression risk is needed and will have co-benefits for other noncommunicable diseases.
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Affiliation(s)
- Vianda S Stel
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands
| | - Katharina Brück
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands
| | - Simon Fraser
- Academic Unit of Primary Care and Population Sciences, University of Southampton, Southampton, UK
| | - Carmine Zoccali
- CNR-IFC, Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy
| | - Ziad A Massy
- Division of Nephrology, Ambroise Paré University Hospital, APHP, University of Paris Ouest-Versailles-St-Quentin-en-Yvelines (UVSQ), Boulogne-Billancourt/Paris, France.,Institut National de la Santé et de la Recherche Médicale (INSERM) U1018, CESP, Team 5, Villejuif, France
| | - Kitty J Jager
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands
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Čabarkapa V, Ilinčić B, Đerić M, Radosavkić I, Šipovac M, Sudji J, Petrović V. Screening for Chronic Kidney Disease in Adult Males in Vojvodina: A Cross-sectional Study. J Med Biochem 2017; 36:153-162. [PMID: 28680359 PMCID: PMC5471648 DOI: 10.1515/jomb-2017-0006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 01/14/2017] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is one of the most significant global health problems accompanied by numerous complicatons, with constant increase in the number of affected people. This number is much higher in early phases of disease and patients are mostly asymptomatic, so early detection of CKD is crucial. The aim was examination of the prevalence of CKD in the general population of males in Vojvodina, based on estimated glomerular filtration rate (eGFR) and urine albumin/creatinine ratio (ACR), and exploring the determinants and awareness of CKD. METHODS This cross-sectional study included 3060 male examinees from the general population, over 18 years of age, whose eGFR and ACR were calculated, first morning urine specimen examined, arterial blood pressure measured and body mass index calculated. Standard biochemistry methods determined creatinine, urea, uric acid and glucose serum concentrations as well as albumin and creatinine urine levels. RESULTS Prevalence of CKD in the adult male population is 7.9%, highest in men over 65 years of age (46.7%), while in the other age groups it is 3.6-12.6%. The largest number of examinees with a positive CKD marker suffer from arterial hypertension (HTA) and diabetes mellitus (DM). Only 1.3% of examinees with eGFR<60 ml/min/1.73 m2 and/or ACR≥ 3 mg/mmol had been aware of positive CKD biomarkers. CONCLUSIONS Obtained results show the prevalence of CKD in adult males is 7.9%, HTA and DM are the most important CKD risk factors and the level of CKD awareness is extremely low (1.3%) indicating the necessity for introduction of early stage disease recognition measures, including raising CKD awareness.
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Affiliation(s)
- Velibor Čabarkapa
- Department of Pathophysiology and Laboratory Medicine, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
- Center for Laboratory Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia
| | - Branislava Ilinčić
- Department of Pathophysiology and Laboratory Medicine, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
- Center for Laboratory Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia
| | - Mirjana Đerić
- Department of Pathophysiology and Laboratory Medicine, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
- Center for Laboratory Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia
| | - Isidora Radosavkić
- Center for Laboratory Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia
| | | | - Jan Sudji
- Institute of Occupational Health, Novi Sad, Serbia
| | - Veljko Petrović
- Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
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50
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Bargnoux AS, Piéroni L, Cristol JP, Kuster N, Delanaye P, Carlier MC, Fellahi S, Boutten A, Lombard C, González-Antuña A, Delatour V, Cavalier E. Multicenter Evaluation of Cystatin C Measurement after Assay Standardization. Clin Chem 2017; 63:833-841. [PMID: 28188233 DOI: 10.1373/clinchem.2016.264325] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 11/28/2016] [Indexed: 11/06/2022]
Abstract
BACKGROUND Since 2010, a certified reference material ERM-DA471/IFCC has been available for cystatin C (CysC). This study aimed to assess the sources of uncertainty in results for clinical samples measured using standardized assays. METHODS This evaluation was performed in 2015 and involved 7 clinical laboratories located in France and Belgium. CysC was measured in a panel of 4 serum pools using 8 automated assays and a candidate isotope dilution mass spectrometry reference measurement procedure. Sources of uncertainty (imprecision and bias) were evaluated to calculate the relative expanded combined uncertainty for each CysC assay. Uncertainty was judged against the performance specifications derived from the biological variation model. RESULTS Only Siemens reagents on the Siemens systems and, to a lesser extent, DiaSys reagents on the Cobas system, provided results that met the minimum performance criterion calculated according to the intraindividual and interindividual biological variations. Although the imprecision was acceptable for almost all assays, an increase in the bias with concentration was observed for Gentian reagents, and unacceptably high biases were observed for Abbott and Roche reagents on their own systems. CONCLUSIONS This comprehensive picture of the market situation since the release of ERM-DA471/IFCC shows that bias remains the major component of the combined uncertainty because of possible problems associated with the implementation of traceability. Although some manufacturers have clearly improved their calibration protocols relative to ERM-DA471, most of them failed to meet the criteria for acceptable CysC measurements.
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Affiliation(s)
- Anne-Sophie Bargnoux
- Laboratoire de Biochimie, CHRU de Montpellier, PhyMedExp, University of Montpellier, INSERM U1046, CNRS UMR 9214, Montpellier cedex 5, France
| | - Laurence Piéroni
- Laboratoire de Biologie Médicale, Centre Hospitalier d'Avignon, Avignon, France
| | - Jean-Paul Cristol
- Laboratoire de Biochimie, CHRU de Montpellier, PhyMedExp, University of Montpellier, INSERM U1046, CNRS UMR 9214, Montpellier cedex 5, France;
| | - Nils Kuster
- Laboratoire de Biochimie, CHRU de Montpellier, PhyMedExp, University of Montpellier, INSERM U1046, CNRS UMR 9214, Montpellier cedex 5, France
| | - Pierre Delanaye
- Department of Nephrology, Dialysis and Hypertension, University of Liege, CHU Sart-Tilman, Liege, Belgium
| | | | - Soraya Fellahi
- Laboratoire de Biochimie et Hormonologie, Hôpital tenon, APHP, Paris, France
| | - Anne Boutten
- Laboratoire de Biochimie Métabolique et Cellulaire, Hôpital Bichat-Claude Bernard, APHP, Paris, France
| | - Christine Lombard
- Laboratoire d'Immunochimie, Centre Hospitalier Lyon Sud, Pierre Bénite, France
| | - Ana González-Antuña
- Department of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, Oviedo, Spain.,Department of Clinical Chemistry, University of Liege, CHU Sart-Tilman, Liege, Belgium
| | - Vincent Delatour
- Laboratoire National de Métrologie et d'Essais (LNE), Paris, France
| | - Etienne Cavalier
- Department of Clinical Chemistry, University of Liege, CHU Sart-Tilman, Liege, Belgium
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