GFR Decline as an End Point for Clinical Trials in CKD: A Scientific Workshop Sponsored by the National Kidney Foundation and the US Food and Drug Administration 

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GFR Decline as an End Point for Clinical Trials in CKD: A Scientific Workshop Sponsored by the National Kidney Foundation and the US Food and Drug Administration  Andrew S. Levey, MD, Lesley A. Inker, MD, MS, Kunihiro Matsushita, MD, PhD, Tom Greene, PhD, Kerry Willis, PhD, Edmund Lewis, MD, Dick de Zeeuw, MD, PhD, Alfred K. Cheung, MD, Josef Coresh, MD, PhD  American Journal of Kidney Diseases  Volume 64, Issue 6, Pages 821-835 (December 2014) DOI: 10.1053/j.ajkd.2014.07.030 Copyright © 2014 National Kidney Foundation, Inc. Terms and Conditions

Figure 1 Glomerular filtration rate (GFR) decline in chronic kidney disease. Treatment interventions without versus with acute effects. (A, B) Hypothetical GFR decline in a patient assigned to the intervention (red lines) or control (black lines) group. Effect of the intervention can be detected using analysis of mean slopes or times to reach specific GFR declines. At baseline, GFR is reduced, with reduction in nephron number (N) but increase in single-nephron GFR (SNGFR). Intervention (A) does not and (B) does cause an “acute effect” on GFR. Acute effect is defined as early change in GFR different in direction or magnitude to the later change in GFR. Acute effects can cause bias in analysis using mean slopes or times to events. Treatment interventions with uniform versus proportional effects. (C, D) Hypothetical distribution of GFR decline in patients assigned to the intervention (red lines) versus control (black lines) groups. (C) Intervention has a uniform effect on GFR decline (uniform shift of the distribution to slower GFR declines across the distribution of GFR declines). Uniform treatment effect may be detected better by a comparison of mean slopes than by a comparison of times to percent decline. (D) Intervention has a proportional effect on GFR decline (a larger shift of faster declines than slower declines). Proportional treatment effect may be detected better by comparison of times to percent GFR decline than comparison of mean slopes. Linear versus nonlinear GFR declines. (E, F) Hypothetical values for measured or estimated GFR in a patient assigned to the intervention (pink dots) or control (black dots) group. The pattern of GFR decline is represented best by (E) a straight line and (F) a curved line. American Journal of Kidney Diseases 2014 64, 821-835DOI: (10.1053/j.ajkd.2014.07.030) Copyright © 2014 National Kidney Foundation, Inc. Terms and Conditions

Figure 2 Results in cohorts: adjusted hazard ratio (HR) of end-stage renal disease (ESRD), prevalence, and approximate percent population attributable risk (PAR) for percent change in estimated glomerular filtration rate (eGFR) during a 2-year baseline period for (A) baseline eGFR < 60 and (B) ≥60mL/min/1.73m2. Adjusted HR of ESRD associated with percent change in eGFR during a 2-year baseline period in eGFR<60 and ≥60mL/min/1.73m2 and a histogram of percent change in eGFR and approximate percent PAR proportion of ESRD. Values trimmed at less than −70% change in eGFR (0.22% and 0.055% of the population with eGFR<60 and ≥60mL/min/1.73m2, respectively) and >40% change in eGFR (5.9% and 0.51% of the population with eGFR<60 and ≥60mL/min/1.73m2, respectively). Reproduced with permission from Coresh et al2 with permission of the American Medical Association. American Journal of Kidney Diseases 2014 64, 821-835DOI: (10.1053/j.ajkd.2014.07.030) Copyright © 2014 National Kidney Foundation, Inc. Terms and Conditions

Figure 3 Results in clinical trials: ratios of established to alterative confirmed end points by intervention. Relationship between estimated treatment effects on the clinical outcome (end-stage renal disease [ESRD], glomerular filtration rate [GFR]<15mL/min/1.73m2, or doubling of serum creatinine level) on the vertical axis to estimated treatment effects on the alternative end points (on the horizontal axis) aggregated for the 5 interventions. Treatment effects are expressed as hazard ratios (HRs). Diagonal line is the line of identity. Horizontal and vertical lines around each circle indicate the Bayesian credible intervals for the treatment effect on the established and alternative end points. The colors indicate intervention type: brown, renin-angiotensin system blockade versus control (A); yellow, renin-angiotensin system blockade versus calcium channel blocker (B); green, intensive blood pressure control (C); blue, low-protein diet (D); and pink, immunosuppressive therapies (E). Estimated GFR (eGFR) decline of (top left) 40% in the overall study duration, (top right) 30% in the overall study duration, (bottom left) 30% at 24 months, and (bottom right) 30% at 24 months. Reproduced from Inker et al3 with permission of the National Kidney Foundation. American Journal of Kidney Diseases 2014 64, 821-835DOI: (10.1053/j.ajkd.2014.07.030) Copyright © 2014 National Kidney Foundation, Inc. Terms and Conditions

Figure 4 Results in simulations: summary of performance of alternative time-to-event end points for trials with 2- to 3-year durations of follow-up. Assumptions: glomerular filtration rate (GFR) based on estimated GFR from serum creatinine level, treatment effect is mixed proportional/uniform; acute effect attenuates to 0 at end-stage renal disease; follow-up duration 3 years for high GFR and 2 years for medium and low GFR. Key: acceptable type 1 error ≈ ≤10%; improved power=>15% smaller samples size for lesser versus 57% GFR decline in same trial duration. Baseline GFR (mL/min/1.73m2): high, 67.5; medium, 42.5; low 27.5. Acute effect (mL/min/1.73m2): moderate-to-large >±1.25; small, >0 to ±0.5-1.25; none, ≈ 0 (note: moderate-to-large positive acute effects are extrapolated from results from simulations). American Journal of Kidney Diseases 2014 64, 821-835DOI: (10.1053/j.ajkd.2014.07.030) Copyright © 2014 National Kidney Foundation, Inc. Terms and Conditions