Evaluating Glomerular Filtration Rate Slope as a Surrogate End Point for ESKD in Clinical Trials: An Individual Participant Meta-Analysis of Observational Data
Publication year
2019Source
Journal of the American Society of Nephrology, 30, 9, (2019), pp. 1746-1755ISSN
Publication type
Article / Letter to editor

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Organization
Paediatrics
Nephrology
Journal title
Journal of the American Society of Nephrology
Volume
vol. 30
Issue
iss. 9
Page start
p. 1746
Page end
p. 1755
Subject
Radboudumc 11: Renal disorders RIHS: Radboud Institute for Health SciencesAbstract
BACKGROUND: Decline in eGFR is a biologically plausible surrogate end point for the progression of CKD in clinical trials. However, it must first be tested to ensure strong associations with clinical outcomes in diverse populations, including patients with higher eGFR. METHODS: To investigate the association between 1-, 2-, and 3-year changes in eGFR (slope) with clinical outcomes over the long term, we conducted a random effects meta-analysis of 3,758,551 participants with baseline eGFR>/=60 ml/min per 1.73 m(2) and 122,664 participants with eGFR<60 ml/min per 1.73 m(2) from 14 cohorts followed for an average of 4.2 years. RESULTS: Slower eGFR decline by 0.75 ml/min per 1.73 m(2) per year over 2 years was associated with lower risk of ESKD in participants with baseline eGFR>/=60 ml/min per 1.73 m(2) (adjusted hazard ratio, 0.70; 95% CI, 0.68 to 0.72) and eGFR<60 ml/min per 1.73 m(2) (0.71; 95% CI, 0.68 to 0.74). The relationship was stronger with 3-year slope. For a rapidly progressing population with predicted 5-year risk of ESKD of 8.3%, an intervention that reduced eGFR decline by 0.75 ml/min per 1.73 m(2) per year over 2 years would reduce the ESKD risk by 1.6%. For a hypothetical low-risk population with a predicted 5-year ESKD risk of 0.58%, the same intervention would reduce the risk by only 0.13%. CONCLUSIONS: Slower decline in eGFR was associated with lower risk of subsequent ESKD, even in participants with eGFR>/=60 ml/min per 1.73 m(2), but those with the highest risk would be expected to benefit the most.
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- Faculty of Medical Sciences [81031]
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