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Insights Into Patient Variability During Ivacaftor-Lumacaftor Therapy in Cystic Fibrosis.

Authors :
Hanafin, Patrick O.
Sermet-Gaudelus, Isabelle
Griese, Matthias
Kappler, Matthias
Ellemunter, Helmut
Schwarz, Carsten
Wilson, John
Tan, Marsha
Velkov, Tony
Rao, Gauri G.
Schneider-Futschik, Elena K.
Source :
Frontiers in Pharmacology; 8/2/2021, Vol. 12, p1-9, 9p
Publication Year :
2021

Abstract

Background: The advent of cystic fibrosis transmembrane conductance regulator protein (CFTR) modulators like ivacaftor have revolutionised the treatment of cystic fibrosis (CF). However, due to the plethora of variances in disease manifestations in CF, there are inherent challenges in unified responses under CFTR modulator treatment arising from variability in patient outcomes. The pharmacokinetic (PK) data available for ivacaftor-lumacaftor cystic fibrosis (CF) transmembrane conductance regulator (CFTR) modulator drug combination is limited. Methods: Secondary objectives were to identify (1) patient characteristics and (2) the interactions between ivacaftor-lumacaftor responsible for interindividual variability (IIV). Results: Peak plasma concentrations (C<subscript>max</subscript>) of ivacaftor - lumacaftor were >10 fold lower than expected compared to label information. The one-way ANOVA indicated that the patient site had an effect on C<subscript>max</subscript> values of ivacaftor metabolites ivacaftor-M1, ivacaftor-M6, and lumacaftor (p < 0.001, p < 0.001, and p < 0.001, respectively). The Spearman's rho test indicated that patient weight and age have an effect on the C<subscript>max</subscript> of lumacaftor (p = 0.003 and p < 0.001, respectively) and ivacaftor metabolite M1 (p = 0.020 and p < 0.001, respectively). Age (p < 0.001) was found to effect on C<subscript>max</subscript> of ivacaftor M6 and on T<subscript>max</subscript> of ivacaftor M1 (p = 0.026). A large impact of patient characteristics on the IIV of PK parameters C<subscript>max</subscript> and T<subscript>max</subscript>, was observed among the CF patients. Conclusion: Understanding the many sources of variability can help reduce this individual patient variability and ensure consistent patient outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16639812
Volume :
12
Database :
Complementary Index
Journal :
Frontiers in Pharmacology
Publication Type :
Academic Journal
Accession number :
151700696
Full Text :
https://doi.org/10.3389/fphar.2021.577263