Literature DB >> 29483105

Biological Variation of Creatinine, Cystatin C, and eGFR over 24 Hours.

Judith M Hilderink1, Noreen van der Linden1, Dorien M Kimenai1, Elisabeth J R Litjens2, Lieke J J Klinkenberg1, Breshna M Aref1, Fahra Aziz1, Jeroen P Kooman2, Roger J M W Rennenberg3, Otto Bekers1, Richard P Koopmans3, Steven J R Meex4.   

Abstract

BACKGROUND: Estimated glomerular filtration rate (eGFR) is widely used in clinical practice. This study assessed the within-subject biological variation (CVI) of different eGFR equations in people with chronic kidney disease (CKD) and people without CKD. The aims of this study were (a) to determine the 24-h biological variation profiles of creatinine, cystatin C, and eGFR and (b) to determine whether CVI of creatinine, cystatin C, and eGFR changes on deterioration of glomerular filtration.
METHODS: Hourly blood samples were analyzed from 37 individuals (17 without CKD, 20 with CKD) during 24 h. Creatinine (enzymatic method) and cystatin C were measured using a Cobas 8000 (Roche Diagnostics). eGFR was estimated using the Modification of Diet in Renal Disease and the Chronic Kidney Disease Epidemiology Collaboration based on creatinine and/or cystatin C. Plasma samples were stored at -80 °C before analysis. Outlier and homogeneity analyses were checked before performing a nested ANOVA to determine biological variation.
RESULTS: CVI of creatinine was higher in people without CKD than in those with CKD (6.4% vs 2.5%) owing primarily to the more profound effect of meat consumption on creatinine variability in individuals with lower baseline creatinine concentrations. Unlike creatinine, cystatin C concentrations were unaffected by meat consumption. Cystatin C showed some diurnal rhythmic variation and less in people with CKD. Reference change values (RCVs) of all eGFR equations were within 13% to 20% in both study groups.
CONCLUSIONS: Despite differences in CVI of creatinine, the CVI and RCV of the eGFR equations were relatively similar for people with or without CKD.
© 2018 American Association for Clinical Chemistry.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29483105     DOI: 10.1373/clinchem.2017.282517

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  5 in total

Review 1.  Public and occupational health risks related to lead exposure updated according to present-day blood lead levels.

Authors:  Yu-Ling Yu; Wen-Yi Yang; Azusa Hara; Kei Asayama; Harry A Roels; Tim S Nawrot; Jan A Staessen
Journal:  Hypertens Res       Date:  2022-10-18       Impact factor: 5.528

2.  Biological variation in the serum and urine kidney injury markers of a healthy population measured within 24 hours.

Authors:  Li-Rui Kong; Fei Wei; Da-Hai He; Chao-Qiong Zhou; Hong-Chuan Li; Feng Wu; Yu Luo; Jian-Wei Luo; Qian-Rong Xie; Hai Peng; Yan Zhang
Journal:  BMC Nephrol       Date:  2022-05-24       Impact factor: 2.585

3.  Two-Year Responses of Renal Function to First Occupational Lead Exposure.

Authors:  Yu-Ling Yu; Lutgarde Thijs; Dong-Mei Wei; Jesus D Melgarejo; Cai-Guo Yu; Wen-Yi Yang; Harry A Roels; Zhen-Yu Zhang; Tim S Nawrot; Jan A Staessen
Journal:  Kidney Int Rep       Date:  2022-03-26

4.  Long-term effects of COVID-19 on kidney function.

Authors:  Philipp Enghard; Jan-Hendrik Hardenberg; Helena Stockmann; Christian Hinze; Kai-Uwe Eckardt; Kai M Schmidt-Ott
Journal:  Lancet       Date:  2021-05-15       Impact factor: 79.321

5.  Intra-individual variability of eGFR trajectories in early diabetic kidney disease and lack of performance of prognostic biomarkers.

Authors:  Julia Kerschbaum; Michael Rudnicki; Alexander Dzien; Christine Dzien-Bischinger; Hannes Winner; Hiddo Lambers Heerspink; László Rosivall; Andrzej Wiecek; Patrick B Mark; Susanne Eder; Sara Denicolò; Gert Mayer
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.