Finerenone Dose-Exposure-Response for the Primary Kidney Outcome in FIDELIO-DKD Phase III: Population Pharmacokinetic and Time-to-Event Analysis.


Journal

Clinical pharmacokinetics
ISSN: 1179-1926
Titre abrégé: Clin Pharmacokinet
Pays: Switzerland
ID NLM: 7606849

Informations de publication

Date de publication:
03 2022
Historique:
accepted: 08 10 2021
pubmed: 14 11 2021
medline: 26 4 2022
entrez: 13 11 2021
Statut: ppublish

Résumé

Finerenone is a nonsteroidal selective mineralocorticoid receptor antagonist that recently demonstrated efficacy in delaying chronic kidney disease progression and reducing cardiovascular events in patients with chronic kidney disease and type 2 diabetes in FIDELIO-DKD, where 5734 patients were randomized 1:1 to receive either titrated finerenone doses of 10 or 20 mg once daily or placebo, with a median follow-up of 2.6 years. Nonlinear mixed-effects population pharmacokinetic models were used to analyze the pharmacokinetics in FIDELIO-DKD, sparsely sampled in all subjects receiving finerenone. Post-hoc model parameter estimates together with dosing histories allowed the computation of individual exposures used in subsequent parametric time-to-event analyses of the primary kidney outcome. The population pharmacokinetic model adequately captured the typical pharmacokinetics of finerenone and its variability. Either covariate effects or multivariate forward-simulations in subgroups of interest were contained within the equivalence range of 80-125% around typical exposure. The exposure-response relationship was characterized by a maximum effect model estimating a low half-maximal effect concentration at 0.166 µg/L and a maximal hazard decrease at 36.1%. Prognostic factors for the treatment-independent chronic kidney disease progression risk included a low estimated glomerular filtration rate and a high urine-to-creatinine ratio increasing the risk, while concomitant sodium-glucose transport protein 2 inhibitor use decreased the risk. Importantly, no sodium-glucose transport protein 2 inhibitor co-medication-related modification of the finerenone treatment effect per se could be identified. None of the tested pharmacokinetic covariates had clinical relevance in FIDELIO-DKD. Finerenone effects on kidney outcomes approached saturation towards 20 mg once daily and sodium-glucose transport protein 2 inhibitor use provided additive benefits.

Sections du résumé

BACKGROUND
Finerenone is a nonsteroidal selective mineralocorticoid receptor antagonist that recently demonstrated efficacy in delaying chronic kidney disease progression and reducing cardiovascular events in patients with chronic kidney disease and type 2 diabetes in FIDELIO-DKD, where 5734 patients were randomized 1:1 to receive either titrated finerenone doses of 10 or 20 mg once daily or placebo, with a median follow-up of 2.6 years.
METHODS
Nonlinear mixed-effects population pharmacokinetic models were used to analyze the pharmacokinetics in FIDELIO-DKD, sparsely sampled in all subjects receiving finerenone. Post-hoc model parameter estimates together with dosing histories allowed the computation of individual exposures used in subsequent parametric time-to-event analyses of the primary kidney outcome.
RESULTS
The population pharmacokinetic model adequately captured the typical pharmacokinetics of finerenone and its variability. Either covariate effects or multivariate forward-simulations in subgroups of interest were contained within the equivalence range of 80-125% around typical exposure. The exposure-response relationship was characterized by a maximum effect model estimating a low half-maximal effect concentration at 0.166 µg/L and a maximal hazard decrease at 36.1%. Prognostic factors for the treatment-independent chronic kidney disease progression risk included a low estimated glomerular filtration rate and a high urine-to-creatinine ratio increasing the risk, while concomitant sodium-glucose transport protein 2 inhibitor use decreased the risk. Importantly, no sodium-glucose transport protein 2 inhibitor co-medication-related modification of the finerenone treatment effect per se could be identified.
CONCLUSIONS
None of the tested pharmacokinetic covariates had clinical relevance in FIDELIO-DKD. Finerenone effects on kidney outcomes approached saturation towards 20 mg once daily and sodium-glucose transport protein 2 inhibitor use provided additive benefits.

Identifiants

pubmed: 34773606
doi: 10.1007/s40262-021-01082-2
pii: 10.1007/s40262-021-01082-2
pmc: PMC8891099
doi:

Substances chimiques

Naphthyridines 0
finerenone 0

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

439-450

Informations de copyright

© 2021. The Author(s).

Références

Agarwal R, Anker SD, Bakris G, Filippatos G, Pitt B, Rossing P, et al. Investigating new treatment opportunities for patients with chronic kidney disease in type 2 diabetes: the role of finerenone. Nephrol Dial Transplant. 2020.
Bakris GL, Agarwal R, Anker SD, Pitt B, Ruilope LM, Nowack C, et al. Design and baseline characteristics of the finerenone in reducing kidney failure and disease progression in diabetic kidney disease trial. Am J Nephrol. 2019;50(5):333–44.
doi: 10.1159/000503713
Bakris GL, Agarwal R, Anker SD, Pitt B, Ruilope LM, Rossing P, et al. Effect of finerenone on chronic kidney disease outcomes in type 2 diabetes. N Engl J Med. 2020;383(23):2219–29.
doi: 10.1056/NEJMoa2025845
Filippatos G, Anker SD, Agarwal R, Pitt B, Ruilope LM, Rossing P, et al. Finerenone and cardiovascular outcomes in patients with chronic kidney disease and type 2 diabetes. Circulation. 2020.
Allison SJ. Finerenone in chronic kidney disease. Nature Rev Nephrol. 2021;17(1):13.
doi: 10.1038/s41581-020-00371-6
Ingelfinger JR, Rosen CJ. Finerenone: halting relative hyperaldosteronism in chronic kidney disease. N Engl J Med. 2020;383(23):2285–6.
doi: 10.1056/NEJMe2031382
Grune J, Beyhoff N, Smeir E, Chudek R, Blumrich A, Ban Z, et al. Selective mineralocorticoid receptor cofactor modulation as molecular basis for finerenone’s antifibrotic activity. Hypertension. 2018;71(4):599–608.
doi: 10.1161/HYPERTENSIONAHA.117.10360
Lavall D, Jacobs N, Mahfoud F, Kolkhof P, Bohm M, Laufs U. The non-steroidal mineralocorticoid receptor antagonist finerenone prevents cardiac fibrotic remodeling. Biochem Pharmacol. 2019;168:173–83.
doi: 10.1016/j.bcp.2019.07.001
Pitt B, Filippatos G, Agarwal R, Anker SD, Bakris GL, Rossing P, et al. Cardiovascular events with finerenone in kidney disease and type 2 diabetes. N Engl J Med. 2021.
Gerisch M, Heinig R, Engelen A, Lang D, Kolkhof P, Radtke M, et al. Biotransformation of finerenone, a novel nonsteroidal mineralocorticoid receptor antagonist, in dogs, rats, and humans, in vivo and in vitro. Drug Metab Dispos. 2018;46(11):1546–55.
doi: 10.1124/dmd.118.083337
Heinig R, Gerisch M, Engelen A, Nagelschmitz J, Loewen S. Pharmacokinetics of the novel, selective, non-steroidal mineralocorticoid receptor antagonist finerenone in healthy volunteers: results from an absolute bioavailability study and drug-drug interaction studies in vitro and in vivo. Eur J Drug Metab Pharmacokinet. 2018;43(6):715–27.
doi: 10.1007/s13318-018-0483-9
Heinig R, Lambelet M, Nagelschmitz J, Alatrach A, Halabi A. Pharmacokinetics of the novel nonsteroidal mineralocorticoid receptor antagonist finerenone (BAY 94–8862) in individuals with mild or moderate hepatic impairment. Eur J Drug Metab Pharmacokinet. 2019;44(5):619–28.
doi: 10.1007/s13318-019-00547-x
Heinig R, Gerisch M, Bairlein M, Nagelschmitz J, Loewen S. Results from drug-drug interaction studies in vitro and in vivo investigating the effect of finerenone on the pharmacokinetics of comedications. Eur J Drug Metab Pharmacokinet. 2020;45(4):433–44.
doi: 10.1007/s13318-020-00610-y
Lentini S, Heinig R, Kimmeskamp-Kirschbaum N, Wensing G. Pharmacokinetics, safety and tolerability of the novel, selective mineralocorticoid receptor antagonist finerenone: results from first-in-man and relative bioavailability studies. Fundam Clin Pharmacol. 2016;30(2):172–84.
doi: 10.1111/fcp.12170
Heinig R, Kimmeskamp-Kirschbaum N, Halabi A, Lentini S. Pharmacokinetics of the novel nonsteroidal mineralocorticoid receptor antagonist finerenone (BAY 94–8862) in individuals with renal impairment. Clin Pharmacol Drug Dev. 2016;5(6):488–501.
doi: 10.1002/cpdd.263
Bakris GL, Agarwal R, Chan JC, Cooper ME, Gansevoort RT, Haller H, et al. Effect of finerenone on albuminuria in patients with diabetic nephropathy: a randomized clinical trial. JAMA. 2015;314(9):884–94.
doi: 10.1001/jama.2015.10081
Snelder N, Heinig R, Drenth HJ, Joseph A, Kolkhof P, Lippert J, et al. Population pharmacokinetic and exposure-response analysis of finerenone: insights based on phase IIb data and simulations to support dose selection for pivotal trials in type 2 diabetes with chronic kidney disease. Clin Pharmacokinet. 2020;59(3):359–70.
doi: 10.1007/s40262-019-00820-x
Katayama S, Yamada D, Nakayama M, Yamada T, Myoishi M, Kato M, et al. A randomized controlled study of finerenone versus placebo in Japanese patients with type 2 diabetes mellitus and diabetic nephropathy. J Diabetes Complications. 2017;31(4):758–65.
doi: 10.1016/j.jdiacomp.2016.11.021
Goulooze B, Snelder N, Seelmann A, Horvat-Broecker A, Brinker M, Joseph A, et al. Finerenone dose-exposure-serum potassium response analysis of FIDELIO-DKD phase 3: the role of dosing, titration, and inclusion criteria. Clin Pharmacokinet. https://doi.org/10.1007/s40262-021-01083-1 (Accepted).
Grothey A, Hoefman S, Ruppert M, Vis P, Zisowsky J, Fiala-Buskies S, et al. Exploration of efficacious alternative regorafenib regimens to manage hand-foot-skin-reaction (HFSR). Ann Oncol. 2019;30(Suppl5):198–252.
Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13(2):143–51.
doi: 10.1208/s12248-011-9255-z
Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145(4):247–54.
doi: 10.7326/0003-4819-145-4-200608150-00004
Chudleigh RA, Ollerton RL, Dunseath G, Peter R, Harvey JN, Luzio S, et al. Performance of the revised “175” modification of diet in renal disease equation in patients with type 2 diabetes. Diabetologia. 2008;51(9):1714–8.
doi: 10.1007/s00125-008-1086-9
Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53(6):982–92.
doi: 10.1053/j.ajkd.2008.12.034
Horio M, Imai E, Yasuda Y, Watanabe T, Matsuo S. Modification of the CKD Epidemiology Collaboration (CKD-EPI) equation for Japanese: accuracy and use for population estimates. Am J Kidney Dis. 2010;56(1):32–8.
doi: 10.1053/j.ajkd.2010.02.344
Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12.
doi: 10.7326/0003-4819-150-9-200905050-00006
Lalande L, Charpiat B, Leboucher G, Tod M. Consequences of renal failure on non-renal clearance of drugs. Clin Pharmacokinet. 2014;53(6):521–32.
doi: 10.1007/s40262-014-0146-1
Ali BH, Al Salam S, Al Suleimani Y, Al Za’abi M, Abdelrahman AM, Ashique M, et al. Effects of the SGLT-2 inhibitor canagliflozin on adenine-induced chronic kidney disease in rats. Cell Physiol Biochem. 2019;52(1):27–39.
doi: 10.33594/000000003
Anderson BJ, Holford NH. What is the best size predictor for dose in the obese child? Paediatr Anaesth. 2017;27(12):1176–84.
doi: 10.1111/pan.13272
Mansoor N, Ahmad T, Alam Khan R, Sharib SM, Mahmood I. Prediction of clearance and dose of midazolam in preterm and term neonates: a comparative study between allometric scaling and physiologically based pharmacokinetic modeling. Am J Ther. 2019;26(1):32–7.
doi: 10.1097/MJT.0000000000000506
Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJL, Charytan DM, et al. Canagliflozin and renal outcomes in type 2 diabetes and nephropathy. N Engl J Med. 2019;380(24):2295–306.
doi: 10.1056/NEJMoa1811744
Holtkamp FA, de Zeeuw D, Thomas MC, Cooper ME, de Graeff PA, Hillege HJ, et al. An acute fall in estimated glomerular filtration rate during treatment with losartan predicts a slower decrease in long-term renal function. Kidney Int. 2011;80(3):282–7.
doi: 10.1038/ki.2011.79
Weir MR. Acute fall in glomerular filtration rate with renin-angiotensin system inhibition: a biomeasure of therapeutic success? Kidney Int. 2011;80(3):235–7.
doi: 10.1038/ki.2011.132
Lewis EF, Claggett B, Parfrey PS, Burdmann EA, McMurray JJ, Solomon SD, et al. Race and ethnicity influences on cardiovascular and renal events in patients with diabetes mellitus. Am Heart J. 2015;170(2):322–9.
doi: 10.1016/j.ahj.2015.05.008
Lipworth L, Mumma MT, Cavanaugh KL, Edwards TL, Ikizler TA, Tarone RE, et al. Incidence and predictors of end stage renal disease among low-income blacks and whites. PLoS ONE. 2012;7(10):e48407.
doi: 10.1371/journal.pone.0048407
Heerspink HJL, Stefansson BV, Correa-Rotter R, Chertow GM, Greene T, Hou FF, et al. Dapagliflozin in patients with chronic kidney disease. N Engl J Med. 2020;383(15):1436–46.
doi: 10.1056/NEJMoa2024816

Auteurs

Paul van den Berg (P)

Leiden Experts on Advanced Pharmacokinetics and Pharmacodynamics (LAP&P), Leiden, The Netherlands.

Martijn Ruppert (M)

Leiden Experts on Advanced Pharmacokinetics and Pharmacodynamics (LAP&P), Leiden, The Netherlands.

Emir Mesic (E)

Leiden Experts on Advanced Pharmacokinetics and Pharmacodynamics (LAP&P), Leiden, The Netherlands.

Nelleke Snelder (N)

Leiden Experts on Advanced Pharmacokinetics and Pharmacodynamics (LAP&P), Leiden, The Netherlands.

Andreas Seelmann (A)

Pharmacometrics, Pharmaceuticals R&D, Bayer AG, Leverkusen, Germany.

Roland Heinig (R)

Clinical Pharmacology, Pharmaceuticals R&D, Bayer AG, Wuppertal, Germany.

Amer Joseph (A)

Clinical Development, Pharmaceuticals R&D, Bayer AG, Berlin, Germany.

Dirk Garmann (D)

Pharmacometrics, Pharmaceuticals R&D, Bayer AG, Leverkusen, Germany.

Joerg Lippert (J)

Pharmacometrics, Pharmaceuticals R&D, Bayer AG, Leverkusen, Germany.

Thomas Eissing (T)

Pharmacometrics, Pharmaceuticals R&D, Bayer AG, Leverkusen, Germany. thomas.eissing@bayer.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH