Comparison of seven estimated glomerular filtration rate equations in kidney patients

被引:0
|
作者
Kovacs, Ferenc [1 ]
Sarvary, Eniko [2 ]
Remport, Adam [3 ]
机构
[1] Kanizsai Dorottya Korhaz, Kozponti Lab, Nagykanizsa, Hungary
[2] Semmelweis Egyet, Altalanos Orvostudomanyi Kar, Transzplantacios & Sebeszeti Klin, Kozponti Lab, Budapest, Hungary
[3] St Imre Korhaz, Del Budai Nefrol Kozpont, Nefrol Profil & B Braun Avitum Hungary Zrt Sz Dia, Budapest, Hungary
关键词
creatinine; cystatin C; estimated glomerular filtration rate; chronic kidney disease; SERUM CYSTATIN-C; CKD-EPI; ESTIMATING GFR; CREATININE; DISEASE; MDRD; MARKER; PREVALENCE; CLEARANCE; IOHEXOL;
D O I
10.1556/OH.2013.29571
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Comparison of seven estimated glomerular filtration rate equations in kidney patients 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 Sjostrom 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 Sjostrom. 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.
引用
收藏
页码:415 / 425
页数:11
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