| Literature DB >> 27211824 |
Catherine Orrell1, Andrzej Bienczak2, Karen Cohen2, David Bangsberg3, Robin Wood4, Gary Maartens2, Paolo Denti2.
Abstract
The therapeutic range for efavirenz plasma concentrations is unclear and some studies found no correlation with viral non-suppression. Efavirenz concentrations are variable, driven in part by polymorphisms in CYP2B6. We hypothesised that efavirenz mid-dosing concentrations, together with CYP2B6 metaboliser genotype, could predict viral non-suppression. Participants starting first-line efavirenz-based antiretroviral therapy were monitored for 48 weeks. HIV-RNA and efavirenz mid-dose interval concentrations were determined at Weeks 16 and 48. CYP2B6 metaboliser genotype status was determined by 516G→T and 983T→C polymorphisms. Cox proportional hazards modelling was used to predict viral non-suppression and to determine the most predictive efavirenz mid-dosing concentration threshold. In total, 180 participants were included. Median efavirenz concentrations were 2.3 mg/L (IQR 1.6-4.6 mg/L) and 2.2 mg/L (IQR 1.5-3.9 mg/L) at Weeks 16 and 48, respectively. Moreover, 49 (27.2%), 84 (46.7%) and 39 (21.7%) participants had extensive, intermediate or slow CYP2B6 metaboliser genotype, respectively. Log2 efavirenz concentrations [adjusted hazard ratio (aHR) = 0.77, 95% CI 0.67-0.89] and baseline CD4 cell count (aHR = 0.994, 95% CI 0.989-0.998), but not CYP2B6 genotype, were predictive of viral non-suppression. For every doubling of efavirenz concentration there was a 23% decrease in the hazard of non-suppression. A threshold of 0.7 mg/L was found to be the efavirenz mid-dosing concentration that was most predictive of non-suppression. Mid-dosing efavirenz concentrations are predictive of viral non-suppression, but the currently recommended lower therapeutic limit (1 mg/L) is higher than our finding. Knowledge of CYP2B6 metaboliser genotype is not required for prediction of virological outcomes.Entities:
Keywords: CYP2B6; Efavirenz; Pharmacogenetic; Pharmacokinetic; Therapeutic drug monitoring; Virological failure
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Year: 2016 PMID: 27211824 DOI: 10.1016/j.ijantimicag.2016.03.017
Source DB: PubMed Journal: Int J Antimicrob Agents ISSN: 0924-8579 Impact factor: 5.283