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      Creatinine- versus cystatin C-based renal function assessment in the Northern Manhattan Study

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          Abstract

          Background

          Accurate glomerular filtration rate estimation informs drug dosing and risk stratification. Body composition heterogeneity influences creatinine production and the precision of creatinine-based estimated glomerular filtration rate (eGFR cr) in the elderly. We compared chronic kidney disease (CKD) categorization using eGFR cr and cystatin C-based estimated GFR (eGFR cys) in an elderly, racially/ethnically diverse cohort to determine their concordance.

          Methods

          The Northern Manhattan Study (NOMAS) is a predominantly elderly, multi-ethnic cohort with a primary aim to study cardiovascular disease epidemiology. We included participants with concurrently measured creatinine and cystatin C. eGFR cr was calculated using the CKD-EPI 2009 equation. eGFR cys was calculated using the CKD-EPI 2012 equation. Logistic regression was used to estimate odds ratios and 95% confidence intervals of factors associated with reclassification from eGFR cr≥60ml/min/1.73m 2 to eGFR cys<60ml/min/1.73m 2.

          Results

          Participants (n = 2988, mean age 69±10yrs) were predominantly Hispanic, female, and overweight/obese. eGFR cys was lower than eGFR cr by mean 23mL/min/1.73m 2. 51% of participants’ CKD status was discordant, and only 28% maintained the same CKD stage by both measures. Most participants (78%) had eGFR cr≥60mL/min/1.73m 2; among these, 64% had eGFR cys<60mL/min/1.73m 2. Among participants with eGFR cr≥60mL/min/1.73m 2, eGFR cys-based reclassification was more likely in those with age >65 years, obesity, current smoking, white race, and female sex.

          Conclusions

          In a large, multiethnic, elderly cohort, we found a highly discrepant prevalence of CKD with eGFR cys versus eGFR cr. Determining the optimal method to estimate GFR in elderly populations needs urgent further study to improve risk stratification and drug dosing.

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          Most cited references31

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          Relation between kidney function, proteinuria, and adverse outcomes.

          The current staging system for chronic kidney disease is based primarily on estimated glomerular filtration rate (eGFR) with lower eGFR associated with higher risk of adverse outcomes. Although proteinuria is also associated with adverse outcomes, it is not used to refine risk estimates of adverse events in this current system. To determine the association between reduced GFR, proteinuria, and adverse clinical outcomes. Community-based cohort study with participants identified from a province-wide laboratory registry that includes eGFR and proteinuria measurements from Alberta, Canada, between 2002 and 2007. There were 920 985 adults who had at least 1 outpatient serum creatinine measurement and who did not require renal replacement treatment at baseline. Proteinuria was assessed by urine dipstick or albumin-creatinine ratio (ACR). All-cause mortality, myocardial infarction, and progression to kidney failure. The majority of individuals (89.1%) had an eGFR of 60 mL/min/1.73 m(2) or greater. Over median follow-up of 35 months (range, 0-59 months), 27 959 participants (3.0%) died. The fully adjusted rate of all-cause mortality was higher in study participants with lower eGFRs or heavier proteinuria. Adjusted mortality rates were more than 2-fold higher among individuals with heavy proteinuria measured by urine dipstick and eGFR of 60 mL/min/1.73 m(2) or greater, as compared with those with eGFR of 45 to 59.9 mL/min/1.73 m(2) and normal protein excretion (rate, 7.2 [95% CI, 6.6-7.8] vs 2.9 [95% CI, 2.7-3.0] per 1000 person-years, respectively; rate ratio, 2.5 [95% CI, 2.3-2.7]). Similar results were observed when proteinuria was measured by ACR (15.9 [95% CI, 14.0-18.1] and 7.0 [95% CI, 6.4-7.6] per 1000 person-years for heavy and absent proteinuria, respectively; rate ratio, 2.3 [95% CI, 2.0-2.6]) and for the outcomes of hospitalization with acute myocardial infarction, end-stage renal disease, and doubling of serum creatinine level. The risks of mortality, myocardial infarction, and progression to kidney failure associated with a given level of eGFR are independently increased in patients with higher levels of proteinuria.
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            An estimated glomerular filtration rate equation for the full age spectrum.

            Glomerular filtration rate (GFR) is accepted as the best indicator of kidney function and is commonly estimated from serum creatinine (SCr)-based equations. Separate equations have been developed for children (Schwartz equation), younger and middle-age adults [Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation] and older adults [Berlin Initiative Study 1 (BIS1) equation], and these equations lack continuity with ageing. We developed and validated an equation for estimating the glomerular filtration rate that can be used across the full age spectrum (FAS).
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                Author and article information

                Contributors
                Role: InvestigationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 November 2018
                2018
                : 13
                : 11
                : e0206839
                Affiliations
                [1 ] Department of Medicine, Division of Nephrology, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, United States of America
                [2 ] Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
                [3 ] Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America
                [4 ] Departments of Neurology and Public Health Sciences, Leonard M. Miller School of Medicine, the McKnight Brain Institute and the Neuroscience Program, University of Miami, Miami, Florida, United States of America
                [5 ] Department of Medicine, Division of Nephrology, Duke University School of Medicine, Durham, North Carolina, United States of America
                [6 ] Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, United States of America
                University of Colorado Denver School of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1823-0117
                http://orcid.org/0000-0001-5180-2044
                http://orcid.org/0000-0002-5305-9685
                Article
                PONE-D-18-09465
                10.1371/journal.pone.0206839
                6235352
                30427947
                24eb0066-1a5b-4554-8956-c7d4e722c2b2
                © 2018 Husain et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 March 2018
                : 19 October 2018
                Page count
                Figures: 1, Tables: 5, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01 HL111195
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: NS K23073104
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01 NS029993
                Award Recipient :
                This study was supported by the National Institutes of Health grants R01 HL111195 (Cheung/Elkind), NS K23073104 (Willey), and R01 NS029993 (Sacco/Elkind). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Geriatrics
                Geriatric Nephrology
                Medicine and Health Sciences
                Nephrology
                Geriatric Nephrology
                Biology and Life Sciences
                Physiology
                Renal Physiology
                Glomerular Filtration Rate
                Medicine and Health Sciences
                Physiology
                Renal Physiology
                Glomerular Filtration Rate
                Medicine and Health Sciences
                Nephrology
                Chronic Kidney Disease
                Biology and Life Sciences
                Biochemistry
                Biomarkers
                Creatinine
                People and Places
                Population Groupings
                Age Groups
                Elderly
                Medicine and Health Sciences
                Geriatrics
                People and Places
                Population Groupings
                Ethnicities
                Hispanic People
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Custom metadata
                The data for this analysis is now available at Columbia's Academic Commons. The direct link to the dataset is https://doi.org/10.7916/D8VM5W5W.

                Uncategorized
                Uncategorized

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