Open Forum Infectious Diseases · 2022 · 10 citations · 13 references
PharmacyPharmacokineticsPharmacologyClinical PharmacologyPharmacokinetic ModelingPharmacokinetic-pharmacodynamic ModelingModel EvaluationNonlinear Mixed-effects ModelingPharmacodynamic ModelingPharmacokinetic SimulationPopulation Pharmacokinetic ModelingTuberculosis PharmacotherapyPharmacokinetic-pharmacodynamic Link ModelingProspective Cohort DataQt Interval Prolongation ModelingSimultaneous Pharmacokinetic-pharmacodynamic ModelingVirtual Patient ModelingVirtual Patient SimulationVirtual PatientsVirtual Population Modeling
Background: The M2 metabolite of bedaquiline causes QT-interval prolongation, making electrocardiogram (ECG) monitoring of patients receiving bedaquiline for drug-resistant tuberculosis necessary. The objective of this study was to determine the relationship between M2 exposure and Fridericia-corrected QT (QTcF)-interval prolongation and to explore suitable ECG monitoring strategies for 6-month bedaquiline treatment. Methods: Data from the PROBeX study, a prospective observational cohort study, were used to characterize the relationship between M2 exposure and QTcF. Established nonlinear mixed-effects models were fitted to pharmacokinetic and ECG data. In a virtual patient population, QTcF values were simulated for scenarios with and without concomitant clofazimine. ECG monitoring strategies to identify patients who need to interrupt treatment (QTcF > 500 ms) were explored. Results: One hundred seventy patients were included, providing 1131 bedaquiline/M2 plasma concentrations and 1702 QTcF measurements; 2.1% of virtual patients receiving concomitant clofazimine had QTcF > 500 ms at any point during treatment (0.7% without concomitant clofazimine). With monthly monitoring, almost all patients with QTcF > 500 ms were identified by week 12; after week 12, patients were predominantly falsely identified as QTcF > 500 ms due to stochastic measurement error. Following a strategy with monitoring before treatment and at weeks 2, 4, 8, and 12 in simulations with concomitant clofazimine, 93.8% of all patients who should interrupt treatment were identified, and 26.4% of all interruptions were unnecessary (92.1% and 32.2%, respectively, without concomitant clofazimine). Conclusions: Our simulations enable an informed decision for a suitable ECG monitoring strategy by weighing the risk of missing patients with QTcF > 500 ms and that of interrupting bedaquiline treatment unnecessarily. We propose ECG monitoring before treatment and at weeks 2, 4, 8, and 12 after starting bedaquiline treatment.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Global tuberculosis report (2014)
L.A. Gabbasova, E.R. Experts Who · 2014 · 13.2K citations
EM Svensson, A‐G Dosne, MO Karlsson · CPT Pharmacometrics & Systems Pharmacology · 2016 · 85 citations · Full text