Literature DB >> 26240296

Performance of cystatin C- and creatinine-based estimated glomerular filtration rate equations depends on patient characteristics.

Jeffrey W Meeusen1, Andrew D Rule2, Nikolay Voskoboev1, Nikola A Baumann1, John C Lieske3.   

Abstract

BACKGROUND: The Kidney Disease Improving Global Outcomes (KDIGO) guideline recommends use of a cystatin C-based estimated glomerular filtration rate (eGFR) to confirm creatinine-based eGFR between 45 and 59 mL · min(-1) · (1.73 m(2))(-1). Prior studies have demonstrated that comorbidities such as solid-organ transplant strongly influence the relationship between measured GFR, creatinine, and cystatin C. Our objective was to evaluate the performance of cystatin C-based eGFR equations compared with creatinine-based eGFR and measured GFR across different clinical presentations.
METHODS: We compared the performance of the CKD-EPI 2009 creatinine-based estimated GFR equation (eGFRCr) and the newer CKD-EPI 2012 cystatin C-based equations (eGFRCys and eGFRCr-Cys) with measured GFR (iothalamate renal clearance) across defined patient populations. Patients (n = 1652) were categorized as transplant recipients (n = 568 kidney; n = 319 other organ), known chronic kidney disease (CKD) patients (n = 618), or potential kidney donors (n = 147).
RESULTS: eGFRCr-Cys showed the most consistent performance across different clinical populations. Among potential kidney donors without CKD [stage 2 or higher; eGFR >60 mL · min(-1) · (1.73 m(2))(-1)], eGFRCys and eGFRCr-Cys demonstrated significantly less bias than eGFRCr; however, all 3 equations substantially underestimated GFR when eGFR was <60 mL · min(-1) · (1.73 m(2))(-1). Among transplant recipients with CKD stage 3B or greater [eGFR <45 mL · min(-1) · (1.73 m(2))(-1)], eGFRCys was significantly more biased than eGFRCr. No clear differences in eGFR bias between equations were observed among known CKD patients regardless of eGFR range or in any patient group with a GFR between 45 and 59 mL · min(-1) · (1.73 m(2))(-1).
CONCLUSIONS: The performance of eGFR equations depends on patient characteristics that are readily apparent on presentation. Among the 3 CKD-EPI equations, eGFRCr-Cys performed most consistently across the studied patient populations.
© 2015 American Association for Clinical Chemistry.

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Year:  2015        PMID: 26240296      PMCID: PMC4726452          DOI: 10.1373/clinchem.2015.243030

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  27 in total

1.  A formula to estimate the approximate surface area if height and weight be known. 1916.

Authors:  D Du Bois; E F Du Bois
Journal:  Nutrition       Date:  1989 Sep-Oct       Impact factor: 4.008

2.  GFR estimating equations: getting closer to the truth?

Authors:  Andrew D Rule; Richard J Glassock
Journal:  Clin J Am Soc Nephrol       Date:  2013-05-23       Impact factor: 8.237

3.  Comparison of measured GFR, serum creatinine, cystatin C, and beta-trace protein to predict ESRD in African Americans with hypertensive CKD.

Authors:  Nrupen A Bhavsar; Lawrence J Appel; John W Kusek; Gabriel Contreras; George Bakris; Josef Coresh; Brad C Astor
Journal:  Am J Kidney Dis       Date:  2011-09-22       Impact factor: 8.860

4.  Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality.

Authors:  Carmen A Peralta; Michael G Shlipak; Suzanne Judd; Mary Cushman; William McClellan; Neil A Zakai; Monika M Safford; Xiao Zhang; Paul Muntner; David Warnock
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

5.  Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.

Authors:  Elisabet Zamora; Josep Lupón; Marta de Antonio; Joan Vila; Judith Peñafiel; Amparo Galán; Agustín Urrutia; Mar Domingo; Antoni Bayes-Genis
Journal:  Clin Chem       Date:  2013-11-19       Impact factor: 8.327

6.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

7.  Creatinine clearance, walking speed, and muscle atrophy: a cohort study.

Authors:  Baback Roshanravan; Kushang V Patel; Cassianne Robinson-Cohen; Ian H de Boer; Ann M O'Hare; Luigi Ferrucci; Jonathan Himmelfarb; Bryan Kestenbaum
Journal:  Am J Kidney Dis       Date:  2014-12-24       Impact factor: 8.860

8.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

9.  Cystatin C identifies chronic kidney disease patients at higher risk for complications.

Authors:  Carmen A Peralta; Ronit Katz; Mark J Sarnak; Joachim Ix; Linda F Fried; Ian De Boer; Walter Palmas; David Siscovick; Andrew S Levey; Michael G Shlipak
Journal:  J Am Soc Nephrol       Date:  2010-12-16       Impact factor: 14.978

10.  Is the Chronic Kidney Disease Epidemiology Collaboration creatinine-cystatin C equation useful for glomerular filtration rate estimation in the elderly?

Authors:  Xun Liu; Huijuan Ma; Hui Huang; Cheng Wang; Hua Tang; Ming Li; Yanni Wang; Tanqi Lou
Journal:  Clin Interv Aging       Date:  2013-10-11       Impact factor: 4.458

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  15 in total

1.  What Is the Correct Approach for Comparing GFR by Different Methods across Levels of GFR?

Authors:  Andrew D Rule; Walter K Kremers
Journal:  Clin J Am Soc Nephrol       Date:  2016-08-03       Impact factor: 8.237

2.  Predictors of Augmented Renal Clearance in a Heterogeneous ICU Population as Defined by Creatinine and Cystatin C.

Authors:  Andrea M Nei; Kianoush B Kashani; Ross Dierkhising; Erin F Barreto
Journal:  Nephron       Date:  2020-05-19       Impact factor: 2.847

3.  Adherence with perindopril therapy: a pilot study using therapeutic drug monitoring of perindoprilat and an evaluation of the clearance estimation.

Authors:  Martin Šíma; Martin Vodička; Věra Marešová; Tomáš Šálek; Radomír Čabala; Ondřej Slanař
Journal:  Int J Clin Pharm       Date:  2017-08-08

4.  Creatinine-Based and Cystatin C-Based GFR Estimating Equations and Their Non-GFR Determinants in Kidney Transplant Recipients.

Authors:  Mira T Keddis; Hatem Amer; Nikolay Voskoboev; Walter K Kremers; Andrew D Rule; John C Lieske
Journal:  Clin J Am Soc Nephrol       Date:  2016-06-23       Impact factor: 8.237

5.  Patterns of Cystatin C Uptake and Use Across and Within Hospitals.

Authors:  Hilary R Teaford; Andrew D Rule; Kristin C Mara; Kianoush B Kashani; John C Lieske; Diana J Schreier; Patrick M Wieruszewski; Erin F Barreto
Journal:  Mayo Clin Proc       Date:  2020-08       Impact factor: 7.616

6.  Population Pharmacokinetic Study of Ceftriaxone in Elderly Patients, Using Cystatin C-Based Estimates of Renal Function To Account for Frailty.

Authors:  Shu Jin Tan; Matthew Cockcroft; Sam Salman; Laurens Manning; Madhu Page-Sharp; Glenn Arendts; Timothy M E Davis; Brioni R Moore; Kevin T Batty
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

7.  Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction.

Authors:  Pietro Trocchi; Matthias Girndt; Christa Scheidt-Nave; Silke Markau; Andreas Stang
Journal:  BMC Nephrol       Date:  2017-11-28       Impact factor: 2.388

8.  Comparison of equations for estimating glomerular filtration rate in screening for chronic kidney disease in asymptomatic black Africans: a cross sectional study.

Authors:  Geoffrey Omuse; Daniel Maina; Jane Mwangi; Caroline Wambua; Alice Kanyua; Elizabeth Kagotho; Angela Amayo; Peter Ojwang; Rajiv Erasmus
Journal:  BMC Nephrol       Date:  2017-12-20       Impact factor: 2.388

9.  Evaluation of cystatin C in malignancy and comparability of estimates of GFR in oncology patients.

Authors:  Melissa Jones; Stephanie Denieffe; Ciara Griffin; Willard Tinago; Maria C Fitzgibbon
Journal:  Pract Lab Med       Date:  2017-05-19

Review 10.  Establishing the presence or absence of chronic kidney disease: Uses and limitations of formulas estimating the glomerular filtration rate.

Authors:  Ahmed Alaini; Deepak Malhotra; Helbert Rondon-Berrios; Christos P Argyropoulos; Zeid J Khitan; Dominic S C Raj; Mark Rohrscheib; Joseph I Shapiro; Antonios H Tzamaloukas
Journal:  World J Methodol       Date:  2017-09-26
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