» Articles » PMID: 21852668

Assessing Glomerular Filtration Rate in Hospitalized Patients: a Comparison Between CKD-EPI and Four Cystatin C-based Equations

Overview
Specialty Nephrology
Date 2011 Aug 20
PMID 21852668
Citations 21
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

New race-free creatinine- and cystatin C-based equations for the estimation of glomerular filtration rate and association with cardiovascular mortality in the AtheroGene study.

Ntaios G, Brederecke J, Ojeda F, Zeller T, Blankenberg S, Schnabel R Intern Emerg Med. 2024; 19(3):697-703.

PMID: 38351263 PMC: 11039520. DOI: 10.1007/s11739-023-03529-9.


Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals.

Pieters T, Veldhuis W, Moeskops P, de Vos B, Verhaar M, Haitjema S Sci Rep. 2022; 12(1):9013.

PMID: 35637278 PMC: 9151677. DOI: 10.1038/s41598-022-13145-w.


Muscle mass and estimates of renal function: a longitudinal cohort study.

Groothof D, Post A, Polinder-Bos H, Erler N, Flores-Guerrero J, Kootstra-Ros J J Cachexia Sarcopenia Muscle. 2022; 13(4):2031-2043.

PMID: 35596604 PMC: 9398222. DOI: 10.1002/jcsm.12969.


GFR estimation is complicated by a high incidence of non-steady-state serum creatinine concentrations at the emergency department.

Niemantsverdriet M, Pieters T, Hoefer I, Verhaar M, Joles J, van Solinge W PLoS One. 2021; 16(12):e0261977.

PMID: 34965267 PMC: 8716053. DOI: 10.1371/journal.pone.0261977.


Different glomerular filtration rate estimating formula for prescribing DOACs in oldest patients: appropriate dosage and bleeding risk. Post hoc analysis of a prospective cohort.

Calsolaro V, Okoye C, Rogani S, Calabrese A, DellAgnello U, Antognoli R Aging Clin Exp Res. 2021; 34(3):591-598.

PMID: 34661901 PMC: 8894223. DOI: 10.1007/s40520-021-01986-w.


References
1.
Sherman D, Fish D, Teitelbaum I . Assessing renal function in cirrhotic patients: problems and pitfalls. Am J Kidney Dis. 2003; 41(2):269-78. DOI: 10.1053/ajkd.2003.50035. View

2.
Orlando R, Mussap M, Plebani M, Piccoli P, De Martin S, Floreani M . Diagnostic value of plasma cystatin C as a glomerular filtration marker in decompensated liver cirrhosis. Clin Chem. 2002; 48(6 Pt 1):850-8. View

3.
de Ulibarri Perez J, Picon Cesar M, Garcia Benavent E . [Early detection and control of hospital malnutrition]. Nutr Hosp. 2002; 17(3):139-46. View

4.
Levey A, Bosch J, Lewis J, Greene T, Rogers N, Roth D . A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999; 130(6):461-70. DOI: 10.7326/0003-4819-130-6-199903160-00002. View

5.
Rolin 3rd H, Hall P, Wei R . Inaccuracy of estimated creatinine clearance for prediction of iothalamate glomerular filtration rate. Am J Kidney Dis. 1984; 4(1):48-54. DOI: 10.1016/s0272-6386(84)80026-8. View