Literature DB >> 19887832

Serum cystatin C-based formulas for prediction of glomerular filtration rate in patients with chronic kidney disease.

Radovan Hojs1, Sebastjan Bevc, Robert Ekart, Maksimiljan Gorenjak, Ludvik Puklavec.   

Abstract

BACKGROUND: The present study, involving a large group of patients with chronic kidney disease (CKD), compares different serum cystatin C-based equations for prediction of the glomerular filtration rate (GFR).
METHODS: A total of 592 adult patients with CKD were enrolled in the study. Serum cystatin C was determined in each patient by an immunonephelometric method. Their GFR was estimated using 5 equations based on serum cystatin C: (1) the Larsson formula, (2) the Hoek formula, (3) the Grubb formula, (4) the simple cystatin C formula (GFR = 100/cystatin C) and (5) our own cystatin C formula (GFR = 90.63 x cystatin C(-1.192)). The actual GFR was measured using (51)CrEDTA clearance.
RESULTS: The mean (51)CrEDTA clearance was 47 ml/min/1.73 m(2); the mean serum cystatin C concentration was 2.68 mg/l. Receiver operating characteristic curve analysis (cutoff for GFR: 60 ml/min/ 1.73 m(2)) showed no difference between the cystatin C formulas with regard to diagnostic accuracy. All equations underestimated the measured GFR except the simple cystatin C formula, which slightly overestimated the measured GFR. All equations lacked precision. The ability to correctly estimate the patient's GFR was high for all equations (87.3-91.9%), except for the Larsson formula, with which 29.2% of subjects were misclassified.
CONCLUSIONS: Our results indicate that all serum cystatin C-based equations, excluding the Larsson formula, are reliable markers of the GFR in patients with CKD, and for daily clinical practice the simplest formula (100/cystatin C) could be accurate enough for GFR estimation. (c) 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19887832     DOI: 10.1159/000254384

Source DB:  PubMed          Journal:  Nephron Clin Pract        ISSN: 1660-2110


  16 in total

Review 1.  Noncontrast functional MRI of the kidneys.

Authors:  Lorenzo Mannelli; Jeffrey H Maki; Sherif F Osman; Hersh Chandarana; David J Lomas; William P Shuman; Ken F Linnau; Douglas E Green; Giacomo Laffi; Miriam Moshiri
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

2.  Chronic kidney disease: Cystatin-C-based eGFR: what is it telling us?

Authors:  Kristen L Jablonski; Michel Chonchol
Journal:  Nat Rev Nephrol       Date:  2013-04-16       Impact factor: 28.314

Review 3.  Measurement of renal function in patients with chronic kidney disease.

Authors:  Euan A Sandilands; Neeraj Dhaun; James W Dear; David J Webb
Journal:  Br J Clin Pharmacol       Date:  2013-10       Impact factor: 4.335

4.  Recalibration of cystatin C using standardized material in Siemens nephelometers.

Authors:  George J Schwartz; Christopher Cox; Jesse C Seegmiller; Paula S Maier; Donna DiManno; Sue L Furth; Bradley A Warady; Alvaro Munoz
Journal:  Pediatr Nephrol       Date:  2019-11-03       Impact factor: 3.714

5.  Performance of the creatinine and cystatin C-based equations for estimation of GFR in Chinese patients with chronic kidney disease.

Authors:  Min Yang; Guang Xu; Lilu Ling; Jianying Niu; Tong Lu; Xin Du; Yong Gu
Journal:  Clin Exp Nephrol       Date:  2016-04-28       Impact factor: 2.801

6.  Requirement for cystatin C testing in chronic kidney disease: a retrospective population-based study.

Authors:  Daniel S Lasserson; Brian Shine; Christopher A O'Callaghan; Tim James
Journal:  Br J Gen Pract       Date:  2017-09-11       Impact factor: 5.386

7.  Impact of creatinine production on the agreement between glomerular filtration rate estimates using cystatin C-derived, and 4- and 6-variable Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations.

Authors:  Esperanza F Hermida-Cadahia; Natalia Lampon; J Carlos Tutor
Journal:  Ups J Med Sci       Date:  2012-07-03       Impact factor: 2.384

8.  Prevalence of chronic kidney diseases in patients with chronic obstructive pulmonary disease: assessment based on glomerular filtration rate estimated from creatinine and cystatin C levels.

Authors:  Takayuki Yoshizawa; Kazuyoshi Okada; Sachiko Furuichi; Toshihiko Ishiguro; Akitaka Yoshizawa; Toshiki Akahoshi; Yasuhiro Gon; Tsuneto Akashiba; Yoshifumi Hosokawa; Shu Hashimoto
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2015-07-06

9.  Multicenter study of creatinine- and/or cystatin C-based equations for estimation of glomerular filtration rates in Chinese patients with chronic kidney disease.

Authors:  Jia-fu Feng; Ling Qiu; Lin Zhang; Xue-mei Li; Yu-wei Yang; Ping Zeng; Xiu-zhi Guo; Yan Qin; Hong-chun Liu; Xing-min Han; Yan-peng Li; Wei Xu; Shu-yan Sun; Li-qiang Wang; Hui Quan; Li-jun Xia; Hong-zhang Hu; Fang-cai Zhong; Rong Duan
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

10.  Simple cystatin C formula for estimation of glomerular filtration rate in overweight patients with diabetes mellitus type 2 and chronic kidney disease.

Authors:  Sebastjan Bevc; Radovan Hojs; Robert Ekart; Matej Završnik; Maksimiljan Gorenjak; Ludvik Puklavec
Journal:  Exp Diabetes Res       Date:  2012-09-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.