Predictors of 007 triphosphate concentrations in dried blood spots in persons with hepatitis C and active drug or alcohol use.

BACKGROUND: Sofosbuvir is converted to its active form, 007 triphosphate (007-TP), within cells. To date, the association between treatment adherence and 007-TP in dried blood spots (DBS) and factors that influence this relationship remain unknown. OBJECTIVES: To examine relationships between adherence and 007-TP concentrations in DBS and identify factors that influence 007-TP in DBS. METHODS: Persons with HCV or HIV/HCV coinfection and self-reported drug and/or alcohol use were randomized to one of two technology-based approaches for monitoring 12 week adherence to once-daily ledipasvir/sofosbuvir. Convenience blood samples were collected every 2 weeks during treatment. 007-TP in DBS was quantified using LC/MS and analysed using mixed-effects models. RESULTS: A total of 337 observations were available from 58 participants (78% male; 21% black; 22% Hispanic/Latino; 26% cirrhotic; 78% HIV-coinfected). The mean half-life of 007-TP in DBS was 142 h (95% CI 127-156) and concentrations increased by 7.3% (95% CI 2.2-12.6) for every 10% increase in between-visit adherence. Geometric mean (95% CI) 007-TP concentrations in DBS were 301 (247-368), 544 (462-639) and 647 (571-723) fmol/punch by adherence categories of ≤50%, >50 to ≤80%, and >80%. Adherence, time on therapy, increasing age and decreased estimated glomerular filtration rate were associated with higher 007-TP, whereas increased time since last dose, male sex, black race and higher BMI were associated with lower 007-TP. CONCLUSIONS: 007-TP has an extended half-life in DBS and concentrations increased with adherence. Further research is needed to examine additional factors that affect 007-TP and the clinical utility of this measure.

Increased tenofovir monoester concentrations in patients receiving tenofovir disoproxil fumarate with ledipasvir/sofosbuvir.

BACKGROUND: Intracellular tenofovir diphosphate concentrations are markedly increased in HIV/HCV coinfected individuals receiving tenofovir disoproxil fumarate (TDF) with sofosbuvir-containing treatment. Sofosbuvir may inhibit the hydrolysis of TDF to tenofovir, resulting in increased concentrations of the disoproxil or monoester forms, which may augment cell loading. We sought to quantify tenofovir disoproxil and monoester concentrations in individuals receiving TDF with and without ledipasvir/sofosbuvir. METHODS: HIV/HCV coinfected participants receiving TDF-based therapy were sampled pre-dose and 1 and 4 h post-dose prior to and 4 weeks after initiating ledipasvir/sofosbuvir. Tenofovir disoproxil was not detectable. Tenofovir monoester in plasma and tenofovir diphosphate in PBMC and dried blood spots (DBS) were quantified using LC-MS/MS. Geometric mean ratios (week 4 versus baseline) and 95% CIs were generated for the pharmacokinetic parameters. P values reflect paired t-tests. RESULTS: Ten participants had complete data. At baseline, geometric mean (95% CI) tenofovir monoester plasma concentrations at 1 and 4 h post-dose were 97.4 ng/mL (33.0-287.5) and 0.74 ng/mL (0.27-2.06), respectively. With ledipasvir/sofosbuvir, tenofovir monoester concentrations at 4 h post-dose were 5.02-fold higher (95% CI 1.40-18.05; P = 0.019), but did not significantly differ at 1 h post-dose (1.72-fold higher, 95% CI 0.25-11.78; P = 0.54), possibly due to absorption variability. Tenofovir diphosphate in PBMC and DBS were increased 2.80-fold (95% CI 1.71-4.57; P = 0.001) and 7.31-fold (95% CI 4.47-11.95; P < 0.0001), respectively, after 4 weeks of ledipasvir/sofosbuvir. CONCLUSIONS: Tenofovir monoester concentrations were increased in individuals receiving TDF with ledipasvir/sofosbuvir, consistent with inhibition of TDF hydrolysis. Additional studies are needed to determine the clinical relevance of this interaction.

Small increase in dolutegravir trough, but equivalent total dolutegravir exposure with simeprevir in HIV/HCV seronegative volunteers.

BACKGROUND: Dolutegravir, an HIV integrase strand-transfer inhibitor, and simeprevir, an HCV NS3/4A PI, have the potential to interact as dolutegravir is a P-glycoprotein, uridine glucuronosyl transferase 1A1 and cytochrome P4503A substrate and simeprevir has been shown to mildly inhibit these. OBJECTIVES: To compare dolutegravir and simeprevir pharmacokinetics (PK) when given separately versus in combination. METHODS: Healthy volunteers received: (i) 150 mg of simeprevir once daily for 7 days; (ii) 50 mg of dolutegravir once daily for 7 days; and (iii) 150 mg of simeprevir once daily plus 50 mg of dolutegravir once daily for 7 days, with randomization to treatment sequence. Twenty-four hour intensive PK sampling was performed on day 7 of each sequence following observed dosing and a standardized meal. PK parameters were determined using non-compartmental methods and compared using paired t-tests. Bioequivalence for area under the curve (AUCtau) and maximum concentration (Cmax) were also assessed. NCT02404805. RESULTS: Twenty-four subjects completed all three sequences. Dolutegravir trough was increased 24% (P = 0.0003) with simeprevir. Dolutegravir AUCtau was increased 15% (P = 0.002), but was deemed bioequivalent as the 90% CI for the geometric mean ratio was 107%-123%. Dolutegravir Cmax was bioequivalent. Simeprevir PK was unaffected by dolutegravir. There were no discontinuations due to adverse events and all adverse events were mild to moderate in severity. CONCLUSIONS: Dolutegravir trough was increased slightly with simeprevir, but AUCtau was bioequivalent. Despite the increase in trough, dolutegravir concentrations were well within the range with established safety data. Suggesting that simeprevir and dolutegravir can be safely co-administered.

Improving the accuracy of adherence data collected using medication monitoring technology in clinical research.

Ambiguous adherence data adversely effects the statistical analyses, study conclusions, and generalizability of research findings for clinical trials. Fortunately, technology-based measures of drug dosing provide more objective measures of medication adherence. While adherence data obtained through monitoring technology avoids the well documented shortcomings of self-reported adherence data, there are important limitations and nuances with use of these technologies that should be considered at study inception, conduct, and analysis. This article describes considerations for data collection and management with use of electronic adherence monitoring, specifically mobile-phone video applications or electronic pillbox devices. The overall aim of this communique is to provide research teams the ability to collect more accurate adherence data and ultimately improve the quality and outcome of their research.

Adherence to Direct-Acting Antiviral Therapy in People Actively Using Drugs and Alcohol: The INCLUD Study.

BACKGROUND: Hepatitis C virus treatment in persons who use drugs (PWUD) is often withheld due to adherence and reinfection concerns. In this study, we report treatment outcomes, technology-based adherence data, and adherence predictors in PWUD and/or alcohol. METHODS: INCLUD was a prospective, open-label study of ledipasvir/sofosbuvir for 12 weeks in PWUD aged 18-70 years. Participants were randomized to wireless (wirelessly observed therapy) or video-based directly observed therapy (vDOT). Drug use was assessed every 2 weeks. Sustained virologic response (SVR) was examined by intention-to-treat and as-treated. Factors associated with missing ≥1 dose(s) between visits were examined using generalized linear models. RESULTS: Sixty participants received ≥1 ledipasvir/sofosbuvir dose (47 human immunodeficiency virus [HIV]/hepatitis C virus [HCV], 13 HCV only; 78% male; 22% black; 25% cirrhotic). Substance use occurred at 94% of person-visits: 60% marijuana, 56% alcohol, 37% methamphetamine, 22% opioids, 17% cocaine, and 20% injection drug use. The SVR by intention-to-treat was 86.7% (52 of 60) and as-treated was 94.5% (52 of 55). Confirmed failures included 1 relapse, 1 reinfection, and 1 unknown (suspected reinfection). Median total adherence was 96% (interquartile range [IQR], 85%-100%; range, 30%-101%), and between-visit adherence was 100% (IQR, 86%-100%; range, 0%-107%). The odds of missing ≥1 dose between visits increased with HIV coinfection (2.94; 95% confidence interval [CI], 1.37-6.32; P = .006), black race (4.09; 95% CI, 1.42-11.74; P = .009), methamphetamine use (2.51; 95% CI, 1.44-4.37; P = .0.001), and cocaine use (2.12; 95% CI, 1.08-4.18; P = .03) and decreased with marijuana use (0.34; 95% CI, 0.17-0.70; P = .003) and vDOT (0.43; 95% CI, 0.21-0.87; P = .02). CONCLUSIONS: Persons who use drugs achieved high SVR rates with high, but variable, ledipasvir/sofosbuvir adherence using technology-based methods. These findings support efforts to expand HCV treatment in PWUD.