Literature DB >> 21852668

Assessing glomerular filtration rate in hospitalized patients: a comparison between CKD-EPI and four cystatin C-based equations.

Alfonso Segarra1, Judith de la Torre, Natalia Ramos, Augusto Quiroz, Maria Garjau, Irina Torres, M Antonia Azancot, Montserrat López, Ana Sobrado.   

Abstract

BACKGROUND AND OBJECTIVES: A specific method is required for estimating glomerular filtration rate GFR in hospitalized patients. Our objective was to validate the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and four cystatin C (CysC)-based equations in this setting. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This was an epidemiologic, cross-sectional study in a random sample of hospitalized patients (n = 3114). We studied the accuracy of the CKD-EPI and four CysC-based equations--based on (1) CysC alone or (2) adjusted by gender; (3) age, gender, and race; and (4) age, gender, race, and creatinine, respectively--compared with GFR measured by iohexol clearance (mGFR). Clinical, biochemical, and nutritional data were also collected.
RESULTS: The CysC equation 3 significantly overestimated the GFR (bias of 7.4 ml/min per 1.73 m(2)). Most of the error in creatinine-based equations was attributable to calculated muscle mass, which depended on patient's nutritional status. In patients without malnutrition or reduced body surface area, the CKD-EPI equation adequately estimated GFR. Equations based on CysC gave more precise mGFR estimates when malnutrition, extensive reduction of body surface area, or loss of muscle mass were present (biases of 1 and 1.3 ml/min per 1.73 m(2) for equations 2 and 4, respectively, versus 5.9 ml/min per 1.73 m(2) for CKD-EPI).
CONCLUSIONS: These results suggest that the use of equations based on CysC and gender, or CysC, age, gender, and race, is more appropriate in hospitalized patients to estimate GFR, since these equations are much less dependent on patient's nutritional status or muscle mass than the CKD-EPI equation.

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Year:  2011        PMID: 21852668      PMCID: PMC3359548          DOI: 10.2215/CJN.01150211

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  45 in total

1.  Performance of the Cockcroft-Gault and modification of diet in renal disease equations in estimating GFR in ill hospitalized patients.

Authors:  Emilio D Poggio; Patrick C Nef; Xuelei Wang; Tom Greene; Frederick Van Lente; Vincent W Dennis; Phillip M Hall
Journal:  Am J Kidney Dis       Date:  2005-08       Impact factor: 8.860

2.  [Recommendations for the use of equations to estimate glomerular filtration rate in adults. Spanish Society of Nephrology].

Authors:  S Gracia; R Montañés; J Bover; A Cases; R Deulofeu; A L Martín de Francisco; L M Orte
Journal:  Nefrologia       Date:  2006       Impact factor: 2.033

3.  Calculation of glomerular filtration rate based on cystatin C in cirrhotic patients.

Authors:  U Pöge; T Gerhardt; B Stoffel-Wagner; H U Klehr; T Sauerbruch; R P Woitas
Journal:  Nephrol Dial Transplant       Date:  2005-12-02       Impact factor: 5.992

4.  For estimating creatinine clearance measuring muscle mass gives better results than those based on demographics.

Authors:  Andrew D Rule; Kent R Bailey; Gary L Schwartz; Sundeep Khosla; John C Lieske; L Joseph Melton
Journal:  Kidney Int       Date:  2009-01-28       Impact factor: 10.612

5.  Cystatin C or creatinine for detection of stage 3 chronic kidney disease in anorexia nervosa.

Authors:  Pierre Delanaye; Etienne Cavalier; Régis P Radermecker; Nicolas Paquot; Gisèle Depas; Jean-Paul Chapelle; André J Scheen; Jean-Marie Krzesinski
Journal:  Nephron Clin Pract       Date:  2008-10-27

6.  Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD.

Authors:  Lesley A Stevens; Josef Coresh; Christopher H Schmid; Harold I Feldman; Marc Froissart; John Kusek; Jerome Rossert; Frederick Van Lente; Robert D Bruce; Yaping Lucy Zhang; Tom Greene; Andrew S Levey
Journal:  Am J Kidney Dis       Date:  2008-03       Impact factor: 8.860

7.  Reduced production of creatinine limits its use as marker of kidney injury in sepsis.

Authors:  Kent Doi; Peter S T Yuen; Christoph Eisner; Xuzhen Hu; Asada Leelahavanichkul; Jürgen Schnermann; Robert A Star
Journal:  J Am Soc Nephrol       Date:  2009-04-23       Impact factor: 10.121

Review 8.  A Comparison of GFR estimating formulae based upon s-cystatin C and s-creatinine and a combination of the two.

Authors:  Martin Tidman; Per Sjöström; Ian Jones
Journal:  Nephrol Dial Transplant       Date:  2007-10-02       Impact factor: 5.992

9.  Factors other than glomerular filtration rate affect serum cystatin C levels.

Authors:  Lesley A Stevens; Christopher H Schmid; Tom Greene; Liang Li; Gerald J Beck; Marshall M Joffe; Marc Froissart; John W Kusek; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  Kidney Int       Date:  2008-12-31       Impact factor: 10.612

10.  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

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  21 in total

Review 1.  Biomarkers in chronic kidney disease, from kidney function to kidney damage.

Authors:  Salvador Lopez-Giacoman; Magdalena Madero
Journal:  World J Nephrol       Date:  2015-02-06

Review 2.  The applicability of eGFR equations to different populations.

Authors:  Pierre Delanaye; Christophe Mariat
Journal:  Nat Rev Nephrol       Date:  2013-07-16       Impact factor: 28.314

3.  Creatinine Versus Cystatin C: Differing Estimates of Renal Function in Hospitalized Veterans Receiving Anticoagulants.

Authors:  Christina Hao Wang; Anna D Rubinsky; Tracy Minichiello; Michael G Shlipak; Erika Leemann Price
Journal:  J Gen Intern Med       Date:  2018-05-31       Impact factor: 5.128

4.  Improved early risk stratification with cystatin C-based estimated GFR.

Authors:  Meda E Pavkov; Robert G Nelson
Journal:  Am J Kidney Dis       Date:  2014-03-04       Impact factor: 8.860

5.  Effect of socio-demographic factors on endogenous biomarkers (cystatin C and creatinine) among elderly chronic kidney disease patients: a cross-sectional study.

Authors:  Irfanullah Khan; Amer Hayat Khan; Azreen Syazril Adnan; Syed Azhar Syed Sulaiman; Azhar Bin Amir Hamzah; Nafees Ahmed; Amjad Khan
Journal:  Int Urol Nephrol       Date:  2018-03-13       Impact factor: 2.370

Review 6.  Methods of Estimating Kidney Function for Drug Dosing in Special Populations.

Authors:  Laura A Hart; Gail D Anderson
Journal:  Clin Pharmacokinet       Date:  2018-08       Impact factor: 6.447

Review 7.  Update on cystatin C: incorporation into clinical practice.

Authors:  Michael G Shlipak; Monica D Mattes; Carmen A Peralta
Journal:  Am J Kidney Dis       Date:  2013-05-20       Impact factor: 8.860

8.  The association between elevated cystatin C levels with myocardial infarction: a meta-analysis.

Authors:  Minghui Bi; Zhuo Huang; Peng Li; Cheng Cheng; Yuli Huang; Weibing Chen
Journal:  Int J Clin Exp Med       Date:  2015-11-15

9.  Vitamin B12 and folate levels in healthy Swiss senior citizens: a prospective study evaluating reference intervals and decision limits.

Authors:  Martin Risch; Dominik W Meier; Benjamin Sakem; Pedro Medina Escobar; Corina Risch; Urs Nydegger; Lorenz Risch
Journal:  BMC Geriatr       Date:  2015-07-11       Impact factor: 3.921

10.  Detection of decreased glomerular filtration rate in intensive care units: serum cystatin C versus serum creatinine.

Authors:  Pierre Delanaye; Etienne Cavalier; Jérôme Morel; Manolie Mehdi; Nicolas Maillard; Guillaume Claisse; Bernard Lambermont; Bernard E Dubois; Pierre Damas; Jean-Marie Krzesinski; Alexandre Lautrette; Christophe Mariat
Journal:  BMC Nephrol       Date:  2014-01-13       Impact factor: 2.388

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