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Variability in Estimated Glomerular Filtration Rate by Area under the Curve Predicts Renal Outcomes in Chronic Kidney Disease
Joint Authors
Lin, Ming-Yen
Tsai, Jer-Chia
Hung, Chi-Chih
Chen, Szu-Chia
Hwang, Shang-Jyh
Huang, Teng-Hui
Chiu, Yi-Wen
Chang, Jer-Ming
Chen, Hung-Chun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Greater variability in renal function is associated with mortality in patients with chronic kidney disease (CKD).
However, few studies have demonstrated the predictive value of renal function variability in relation to renal outcomes.
This study investigates the predictive ability of different methods of determining estimated glomerular filtration rate (eGFR) variability for progression to renal replacement therapy (RRT) in CKD patients.
This was a prospective observational study, which enrolled 1,862 CKD patients.
The renal end point was defined as commencement of RRT.
The variability in eGFR was measured by the area under the eGFR curve (AUC)%.
A significant improvement in model prediction was based on the −2 log likelihood ratio statistic.
During a median 28.7-month follow-up, there were 564 (30.3%) patients receiving RRT.
In an adjusted Cox model, a smaller initial eGFR AUC%_12M (P<0.001), a smaller peak eGFR AUC%_12M (P<0.001), and a larger negative eGFR slope_12M (P<0.001) were associated with a higher risk of renal end point.
Two calculated formulas: initial eGFR AUC%_12M and eGFR slope_12M were the best predictors.
Our results demonstrate that the greater eGFR variability by AUC% is associated with the higher risk of progression to RRT.
American Psychological Association (APA)
Chen, Szu-Chia& Lin, Ming-Yen& Huang, Teng-Hui& Hung, Chi-Chih& Chiu, Yi-Wen& Chang, Jer-Ming…[et al.]. 2014. Variability in Estimated Glomerular Filtration Rate by Area under the Curve Predicts Renal Outcomes in Chronic Kidney Disease. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051085
Modern Language Association (MLA)
Chen, Szu-Chia…[et al.]. Variability in Estimated Glomerular Filtration Rate by Area under the Curve Predicts Renal Outcomes in Chronic Kidney Disease. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1051085
American Medical Association (AMA)
Chen, Szu-Chia& Lin, Ming-Yen& Huang, Teng-Hui& Hung, Chi-Chih& Chiu, Yi-Wen& Chang, Jer-Ming…[et al.]. Variability in Estimated Glomerular Filtration Rate by Area under the Curve Predicts Renal Outcomes in Chronic Kidney Disease. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051085