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Kidney Week

Abstract: FR-PO1136

Application of eGFR Thresholds as End Point Components in a Kidney Hierarchical Composite End Point

Session Information

Category: CKD (Non-Dialysis)

  • 2302 CKD (Non-Dialysis): Clinical, Outcomes, and Trials

Authors

  • Jongs, Niels, Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
  • Gasparyan, Samvel B., Late Stage Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
  • Frison, Lars, Late Stage Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
  • Schloemer, Patrick, Pharmaceuticals, Research and Development, Bayer AG, Berlin, Germany
  • Brinker, Meike Daniela, Pharmaceuticals, Research and Development, Bayer AG, Wuppertal, Germany
  • Rossert, Jerome A., Late Stage Development, Cardiovascular, Renal and Metabolism (CVRM), Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States
  • Little, Dustin J., Late Stage Development, Cardiovascular, Renal and Metabolism (CVRM), Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States
  • Heerspink, Hiddo Jan L., Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
Background

We developed and validated a kidney hierarchical composite endpoint (HCE) combining time-to-event endpoints with the rate of estimated glomerular filtration rate (eGFR) decline (eGFR slope) as a continuous endpoint. An alternative to this continuous endpoint is to apply thresholds on an absolute scale for the pairwise comparisons in the eGFR slope component. We assessed the impact of different thresholds on the treatment effects and statistical power on the kidney HCE analysed using win odds.

Methods

We calculated the win-odds in the DAPA-CKD trial and compared treatment effects for the original HCE versus HCEs with different eGFR thresholds (0.5, 0.75, or 1.0 mL/min/1.73m2/year eGFR slope difference; Table). We estimated the statistical power for these thresholds using a bootstrap sampling procedure and replicated these analyses in the RENAAL, IDNT, ALTITUDE, SONAR, CREDENCE, and FIDELIO-DKD trials.

Results

In DAPA-CKD, the win-odds and statistical power were consistent regardless of which eGFR thresholds were included (Table). Results were similar in all the six kidney outcome trials.

Conclusion

Our findings indicate that application of eGFR thresholds in the kidney HCE does not alter treatment effects or compromise statistical power and may facilitate clinical interpretation of trial results.

Table. Pairwise comparisons per component of the HCE and win-odds
 Dapagliflozin 10 mgPlacebo Win-oddsPower*
Wins (%)Wins (%)Ties (%)(95% CI)%
Kidney HCE eGFR (continuous)All-cause death247971 (5.4)171435 (3.7)0  
End-stage kidney disease124658 (2.7)85196 (1.8)0  
Sustained decline of eGFR <1583467 (1.8)61327 (1.3)0  
57% eGFR decline from baseline62964 (1.4)24776 (0.5)0  
50% eGFR decline from baseline62138 (1.3)26080 (0.6)0  
40% eGFR decline from baseline160461 (3.5)118693 (2.6)0  
eGFR slope1975543 (42.7)1426395 (30.8)0  
Total2717202 (58.7)1913902 (41.3)01.42 (1.32, 1.52)97.4
Kidney HCE with eGFR threshold of >0.5 mL/mineGFR slope1794224 (38.7)1252131 (27.0)355583 (7.7)  
Total2535883 (54.8)1739638 (37.6)355583 (7.7)1.42 (1.32, 1.52)92.4
Kidney HCE with eGFR threshold of >0.75 mL/mineGFR slope1702693 (36.8)1168907 (25.2)530338 (11.5)  
Total2444352 (52.8)1656414 (35.8)530338 (11.5)1.41 (1.32, 1.51)91.8
Kidney HCE with eGFR threshold of >1.0 mL/mineGFR slope1611160 (34.8)1088509 (23.5)702269 (15.2)  
Total2352819 (50.8)1576016 (34.0)702269 (15.2)1.40 (1.31, 1.50)92.9

*Statistical power for a simulated trial of 500 participants is shown

Funding

  • Commercial Support – AstraZeneca