Creatinine- vs. cystatin C-based equations compared with 99mTcDTPA scintigraphy to assess glomerular filtration rate in chronic kidney disease

2012 ◽  
Vol 25 (6) ◽  
pp. 1003-1015 ◽  
Author(s):  
Hernán Trimarchi ◽  
Alexis Muryan ◽  
Diana Martino ◽  
Agostina Toscano ◽  
Romina Iriarte ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate

Evaluation of methods based on creatinine and cystatin C to estimate glomerular filtration rate in chronic kidney disease

2013 ◽  
Vol 46 (6) ◽  
pp. 1161-1167 ◽  
Author(s):  
Almudena Vega ◽  
Soledad García de Vinuesa ◽  
Marian Goicoechea ◽  
Úrsula Verdalles ◽  
María Luz Martínez-Pueyo ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Estimate Glomerular Filtration Rate ◽  
Evaluation Of Methods

scholarly journals Comparison of seven estimated glomerular filtration rate equations in kidney patients

2013 ◽  
Vol 154 (11) ◽  
pp. 415-425
Author(s):  
Ferenc Kovács ◽  
Enikő Sárváry ◽  
Ádám Remport
Keyword(s):  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Estimated Glomerular Filtration Rate ◽  
Chronic Kidney Disease Stage ◽  
Disease Stage ◽  
Rate Equations

Introduction: The degree of glomerular filtration rate determines the stages of chronic renal disease and, therefore, knowledge on its estimation is essential. Aims: Two standardized creatinine based estimated glomerular filtration rate equations and five equations based on the immunoturbidimetric determination of cystatin C were compared. Methods: The distribution of the analytes and the equations, their relations, as well as the differences among the estimated glomerular filtration rates and their chronic kidney disease stages assignments were studied. Results: The equations based on cystatin C classified more patient into stage 1, while the creatinine based ones more into stages 2, 3 and 4. The equations published as Grubb1, Grubb2 and Larsson classified more patients while the equations created by Tan and Sjöström classified fewer into stage 5 compared to the creatinine based equations. The equations of Grubb1 and Grubb2 resulted in the most similar stage assignment. The occurence of stages between 3 and 5 was the lowest using the equation of Sjöström. Conclusions: The different equations for the estimation of glomerular filtration rate modify significantly the chronic kidney disease stage assignment which may have an influence on the treatment and outcome measures of the patients. Orv. Hetil., 2013, 154, 415–425.

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