De-simplifying antiretroviral therapy from a single-tablet to a two-tablet regimen: Acceptance, patient-reported outcomes, and cost savings in a multicentre study.

BACKGROUND: Antiretroviral therapy (ART), which is increasingly used by people with HIV, accounts for significant care costs, particularly because of single-tablet regimens (STRs). This study explored de-simplification to a two-tablet regimen (TTR) for cost reduction. The objectives of this study were: (1) acceptance of de-simplification, (2) patient-reported outcomes, and (3) cost savings. METHODS: All individuals on Triumeq®, Atripla® or Eviplera® in five HIV clinics in the Netherlands were eligible. Healthcare providers informed individuals of this study. After inclusion, individuals were free to de-simplify. An electronic questionnaire was sent to assess study acceptance, adherence, quality of life (SF12) and treatment satisfaction (HIVTSQ). After 3 and 12 months, questionnaires were repeated. Cost savings were calculated using Dutch drug prices. RESULTS: In total, 283 individuals were included, of whom 55.5% agreed to de-simplify their ART, with a large variability between treatment centres: 41.1-74.2%. Individuals who were willing to de-simplify tended to be older, had a longer history of HIV diagnosis, and used more co-medication than those who preferred to remain on an STR regimen. Patient-reported outcomes, including quality of life and treatment satisfaction, showed no significant difference between people with HIV who switched to a TTR and those who remained on an STR regimen. Furthermore, we observed a 17.8% reduction in drug costs in our cohort of people with HIV who were initially on an STR. CONCLUSIONS: De-simplification from an STR to a TTR within the Dutch healthcare setting has been demonstrated as feasible, leads to significant cost reductions and should be discussed with every eligible person with HIV in the Netherlands.

GLP-1 agonists for people living with HIV and obesity, is there a potential?

BACKGROUND AND OBJECTIVES: Obesity trends and metabolic dysregulation are rising in people living with HIV using antiretrovirals (ARVs). Underlying causes and preventive strategies are being investigated. Two glucagon like-peptide 1 (GLP-1) agonists, liraglutide and semaglutide, were formerly approved as glucose-lowering drugs and have been recently approved for long-term weight loss in people with obesity. Due to the lack of therapeutic guidelines or clinical trials in people with HIV, we discuss the potential benefits, safety aspects and pharmacological considerations of prescribing liraglutide and semaglutide in people with HIV. RESULTS: Clinical experience is limited to two clinical cases of diabetic people with HIV using liraglutide after which a successful weight loss and glycaemic control were observed. None of the adverse events associated with liraglutide and semaglutide usage indicate an additional risk for people with HIV. Extra caution showed be warranted when initiating GLP-1 agonist therapy in people with HIV taking protease inhibitors who have pre-existing risk factors for heart rate variability to reduce the incidence of RP interval prolongation. GLP-1 agonists are metabolized by endopeptidases, and thus do not generate major drug-drug interactions with most drugs, including ARVs. GLP-s agonists are known to inhibit gastric acid secretion, which warrants caution and close monitoring when combined with atazanavir and oral rilpivirine, two ARVs that require low gastric pH for an optimal absorption. CONCLUSION: Theoretical considerations and a few available clinical observations support semaglutide and liraglutide prescription in people with HIV, with, thus far, no indications of concern regarding efficacy, safety or pharmacological interactions with ARVs.

Outcomes of modern antiretroviral therapy in obese individuals living with HIV.

Obesity is a global epidemic and people living with HIV (PLWH) are showing similar obesity trends to those in the general population. Obesity is manifested by several physiological features that can alter volume of distribution, elimination and metabolism of various medications including ART. Some drugs are increasingly prone to pharmacokinetic alteration during obesity depending on their physicochemical properties and clearance mechanism. These considerations raise concerns of hampered efficacy, development of resistance or increased toxicity of ART in PLWH. Here, we summarize available literature on the exposure and antiviral outcomes of currently available antiretroviral drugs in the context of obesity and provide a panel of recommendations for the clinical management and follow-up in this growing patient population.

The dolutegravir/valproic acid drug-drug interaction is primarily based on protein displacement.

OBJECTIVES: The dolutegravir/valproic acid drug-drug interaction (DDI) is suggested to be caused by protein displacement. Here, we assess the underlying mechanism. METHODS: Participants in a randomized controlled trial investigating valproic acid as an HIV latency reversing agent were recruited in a predefined pharmacokinetic substudy if they were on once-daily 50 mg dolutegravir-containing combination ART (cART) for >12 months with a plasma HIV-RNA <50 copies/mL (trial registration: ClinicalTrials.gov NCT03525730). Participants were randomized to receive 30 mg/kg/day valproic acid orally (divided into two equal doses) for 14 days or not. Total and unbound dolutegravir concentrations were measured on day 0 (before intake of valproic acid and 6 h after intake of valproic acid) and on days 1, 7, 14 and 42. Intra- and inter-subject dolutegravir concentrations and geometric means (GMs) were evaluated. RESULTS: Six of 10 participants on dolutegravir were randomized to receive valproic acid. During 14 days of valproic acid treatment, the GM total dolutegravir concentration decreased sharply from 1.36 mg/L on day 0 to 0.85, 0.31 and 0.20 mg/L on days 0, 1, 7 and 14, respectively, while total dolutegravir concentrations in the controls remained comparable during the same period: 1.27-1.49 mg/L. We observed a parallel increase in unbound dolutegravir fractions ranging from 0.39% to 0.58% during valproic acid administration, compared with 0.25% to 0.28% without valproic acid. Unbound dolutegravir concentrations were above the established in vitro EC90 value for unbound dolutegravir in 85% of the tested samples. CONCLUSIONS: This study confirms protein displacement as the main mechanism for this DDI, although additional mechanisms might be involved too. If dolutegravir is taken with food, this DDI is probably not clinically relevant.

Predictors of virological failure in HIV-1-infected patients switching to dolutegravir maintenance monotherapy.

OBJECTIVES: The Dolutegravir Monotherapy for HIV (DOMONO; NCT02401828) study showed that maintenance monotherapy with dolutegravir (DTG) is associated with virological failure (VF) and leads to DTG resistance and as a result should not be used. However, data on clinical and virological factors associated with VF during DTG monotherapy are lacking. We identified factors associated with VF during DTG monotherapy. METHODS: A randomized trial was carried out in which patients on combination antiretroviral therapy (cART) with an HIV-1 RNA zenith < 100 000 copies/mL and a CD4 T-cell nadir ≥ 200 cells/µL, who had never experienced VF, switched to DTG monotherapy. Clinical and virological factors were compared between patients with and without VF, using univariate analyses. RESULTS: Eight of the 95 patients developed VF during DTG monotherapy. A total of 78 participants had reached week 48 when the study was discontinued. The median CD4 T-cell nadir was lower in patients with VF than in patients without VF [260 (interquartile range (IQR) 223-320) versus 380 (IQR 290-520) cells/µL, respectively; P = 0.011]. Patients with VF had a longer time between HIV diagnosis and cART initiation than those without VF [median 49 (IQR 27-64) versus 15 (IQR 1-38) months, respectively; P = 0.015]. The median total peripheral blood mononuclear cell (PBMC) HIV DNA copy number was higher in patients with VF than in those without VF [417 (range 85-4151) versus 147 (range 16-4132) copies/106 PBMCs, respectively; P = 0.022]. CONCLUSIONS: A lower CD4 nadir, a longer time between HIV diagnosis and cART initiation, and a higher HIV DNA copy number at the time of DTG monotherapy initiation were associated with VF. While there clearly is no future role for DTG monotherapy, ongoing and future studies on the efficacy of maintenance dual therapy (e.g. DTG lamivudine) may have to take these variables into account in their study design and analysis.

Pharmacokinetics of extended dose intervals of micafungin in haematology patients: optimizing antifungal prophylaxis.

Background: Extended dosing intervals for micafungin could overcome the need for hospitalization for antifungal prophylaxis. Objectives: This multicentre, open-label, randomized trial compared the pharmacokinetics of 300 mg of micafungin given twice weekly with 100 mg once daily as antifungal prophylaxis in adult haematology patients at risk of developing invasive fungal disease. Secondary objectives were assessment of adequate exposure with an alternative dosing regimen of micafungin (700 mg once weekly) through Monte Carlo simulations and assessment of safety in this patient population. Patients and methods: Twenty adult patients were randomized to receive either 300 mg of micafungin twice weekly or 100 mg once daily for 8 days. Blood samples were drawn daily and pharmacokinetic curves were determined on days 4/5 and 8. Monte Carlo simulations were performed for both investigated regimens as well as a frequently proposed alternative regimen (700 mg once weekly). Results: The predicted median AUC0-168h (IQR) for a typical patient on the investigated regimens of 100 mg once daily and 300 mg twice weekly and the hypothetical regimen of 700 mg once weekly were 690 (583-829), 596 (485-717) and 704 (585-833) mg·h/L, respectively. Conclusions: We observed comparable exposure with 300 mg of micafungin twice weekly and 100 mg of micafungin once daily. We provide the pharmacokinetic proof for an extended dosing regimen, which now needs to be tested in a clinical trial with hard endpoints.

Management of drug interactions with direct-acting antivirals in Dutch HIV/hepatitis C virus-coinfected patients: adequate but not perfect.

OBJECTIVES: Direct-acting antivirals (DAAs) for treatment of chronic hepatitis C virus (HCV) infection can cause drug-drug interactions (DDIs) with combination antiretroviral therapy (cART) and non-cART co-medication. We mapped how physicians manage DDIs between DAAs and co-medication and analysed treatment outcomes. METHODS: Data were prospectively collected as part of the ATHENA HIV observational cohort and retrospectively analysed. Dutch patients with HIV/HCV coinfection who initiated treatment with DAAs between January 2015 and May 2016 were included. Co-medication 3 months prior to and during DAA therapy was identified. Potential DDIs with the DAAs were checked using http://hep-druginteractions.org. DDIs were categorized as: (1) no interaction expected; (2) potential interaction; (3) contra-indication; (4) no recommendation. These categories were used to determine which patients switched or had a DDI during DAA therapy with co-medication. RESULTS: A total of 423 patients were treated with DAAs, of whom 418 (99%) used cART and 251 (59%) used non-cART co-medication. Before commencing DAA treatment, in 17 of 84 (20%) patients the non-cART co-medication which could result in a category 2/3 DDI was discontinued before DAA initiation, including two of six (33%) prescriptions of category 3 drugs. A total of 196 of 418 (47%) patients had a category 2/3 DDI between their DAA regimen and cART. Category 2/3 DDIs were prevented by switching cART in 78 of 147 (53%) and 47 of 49 (98%) patients. Overall, 367 of 423 (87%) patients have achieved a sustained virological response (33 in follow-up). CONCLUSIONS: Prescription patterns suggest that physicians are aware of potential DDIs between co-medication and DAAs, in particular potential DDIs with cART. Greater awareness is needed concerning category 3 interactions between non-cART co-medication and DAAs.

Peg-interferon and ribavirin treatment in HIV/HCV co-infected patients in Thailand: efficacy, safety and pharmacokinetics.

OBJECTIVE: In Thailand, 7.2% of HIV patients are co-infected with hepatitis C virus (HCV), and these patients are treated with peg-interferon + ribavirin (PR) for their HCV infection. This study evaluates efficacy and safety of PR treatment and pharmacokinetics of ribavirin in this population. METHODS: HIV/HCV co-infected Thai patients were treated with PR for 24 or 48 weeks. Sustained virological response 24 weeks after the end of treatment (SVR24) was used to describe efficacy. (laboratory) safety parameters and ribavirin plasma concentrations were evaluated during study visits. Ribavirin concentrations were compared with t-tests for patients with and without anaemia (haemoglobin <10 g/dl) and SVR24. RESULTS: A total of 101 HIV/HCV co-infected patients were included; 88% were male (n = 88), and 46% were infected with genotype 3. The median (IQR) start dose was 14.28 mg/kg/day. SVR24 rate was 56%. All patients reported at least one (serious) adverse event, of which 28% of patients developed anaemia. Seven patients discontinued treatment due to toxicity issues. Geometric mean (IQR) ribavirin concentration was 1.81 (1.42-2.32) mg/l at week 8 of treatment. At week 8, patients with and without anaemia and SVR had ribavirin concentrations of 2.29 and 1.63 mg/l and 1.91 and 1.74 mg/l, respectively. CONCLUSIONS: PR treatment has comparable response rates and toxicity profile in Thai HIV/HCV co-infected patients as in Western HIV/HCV patients. However, ribavirin plasma concentrations were comparable with previously published studies in HIV/HCV co-infected patients, but both, just as SVR rate, were lower than in mono-infected patients.

A pharmacological rationale for improved everolimus dosing in oncology and transplant patients.

AIMS: Everolimus is a drug from the class of mammalian target of rapamycin inhibitors used for both immunosuppressant and oncological indications. We postulate that there is room for improvement of dosing, as the optimal immunosuppressive dose in calcineurin-free regimens is unknown and since the once daily dosing regimen for oncological indications is often associated with treatment-limiting toxicity. METHODS: We developed a mechanistic population pharmacokinetic model for everolimus in cancer and transplant patients and explored alternative dosing regimens. RESULTS: We found that formulation did not influence bioavailability and that use of >20 mg prednisolone daily increased everolimus clearance. In transplant patients, the approved dose of 0.75-1 mg twice daily (BID) results in subtherapeutic trough levels (<6 µg l-1 ) and that a higher starting dose of 2.25-3 mg BID is required. CONCLUSION: For oncological indications, our results encourage the investigation of dosing everolimus 3.75 mg BID in terms of superiority in safety and noninferiority in efficacy.

Daclatasvir 30 mg/day is the correct dose for patients taking atazanavir/cobicistat.

BACKGROUND: Atazanavir is boosted with the cytochrome P450 (CYP) 3A4 inhibitor ritonavir. When combined with the CYP3A4 substrate daclatasvir, the daclatasvir dosage should be reduced from 60 to 30 mg once daily. Recently, cobicistat was licensed as a CYP3A booster and used with atazanavir. OBJECTIVES: To determine whether the fixed-dose combination of atazanavir/cobicistat has an influence on daclatasvir pharmacokinetics comparable to that of the separate agents atazanavir and ritonavir. METHODS: A prospective, open-label, two-period, randomized, cross-over trial was performed in 16 healthy subjects (NCT02565888). Treatment consisted of 300/100 mg of atazanavir/ritonavir plus 30 mg of daclatasvir once daily (reference) and a second period of 300/150 mg of atazanavir/cobicistat plus 30 mg of daclatasvir once daily (test). A 24 h pharmacokinetic, steady-state curve was recorded for all drugs. Geometric mean ratios (GMRs) with 90% CI were calculated for daclatasvir and atazanavir AUCτ and Cmax to compare the effect of both treatments (test versus reference). Laboratory safety and adverse events were evaluated throughout the trial. RESULTS: All 16 healthy subjects completed the study. Median (range) age and BMI were 48.5 (21-55) years and 24.5 (19.0-29.2) kg/m2, respectively. Pharmacokinetic parameters of ritonavir and cobicistat were comparable to those in the literature. The GMRs (90% CI) of daclatasvir AUCτ and Cmax (test versus reference) were 101% (92%-111%) and 97% (89%-106%), respectively. Atazanavir GMRs (90% CI) of AUCτ and Cmax were 82% (75%-79%) and 74% (68%-81%), respectively. No serious adverse events were reported. CONCLUSIONS: Atazanavir/cobicistat and atazanavir/ritonavir had a similar influence on daclatasvir pharmacokinetics in healthy volunteers. Daclatasvir at 30 mg once daily is the correct dose when combined with atazanavir/cobicistat.

The effect of dipyridamole on the pharmacokinetics of metformin: a randomized crossover study in healthy volunteers.

PURPOSE: Concomitant treatment with the glucose-lowering drug metformin and the platelet aggregation inhibitor dipyridamole often occurs in patients with type 2 diabetes mellitus who have suffered a cerebrovascular event. The gastrointestinal uptake of metformin is mediated by the human equilibrative nucleoside transporter 4 (ENT4), which is inhibited by dipyridamole in preclinical studies. We hypothesized that dipyridamole lowers the plasma exposure to metformin. METHODS: Eighteen healthy volunteers (mean age 23 years; 9 male) were randomized in an open-label crossover study. Subjects were allocated to treatment with metformin 500 mg twice daily in combination with dipyridamole slow-release 200 mg twice daily or to metformin alone for 4 days. After a washout period of 10 days, the volunteers were crossed over to the alternative treatment arm. Blood samples were collected during a 10-h period after intake of the last metformin dose. The primary endpoint was the area under the plasma concentration-time curve (AUC0-12h) and the maximum plasma metformin concentration (C max). RESULTS: In healthy subjects, dipyridamole did not significantly affect Cmax nor AUC0-12h of metformin under steady-state conditions. CONCLUSIONS: Previous in vitro studies report that dipyridamole inhibits the ENT4 transporter that mediates gastrointestinal uptake of metformin. In contrast, co-administration of dipyridamole at therapeutic dosages to healthy volunteers does not have a clinically relevant effect on metformin plasma steady-state exposure. This observation is reassuring for patients who are treated with this combination of drugs.

Exposure to total and protein-unbound rifampin is not affected by malnutrition in Indonesian tuberculosis patients.

Nutritional status may have a profound impact on the pharmacokinetics of drugs, yet only few data are available for tuberculosis (TB) drugs. As malnutrition occurs frequently among TB patients, we assessed the effect of malnutrition on the steady-state pharmacokinetics of total and protein-unbound rifampin during the intensive phase of TB treatment. In a descriptive pharmacokinetic study in Bandung, Indonesia, patients received a fixed standard rifampin dose of 450 mg once daily during the intensive phase of TB treatment. A full pharmacokinetic curve for rifampin was recorded, and total and unbound concentrations of rifampin were analyzed in all samples. Rifampin pharmacokinetic parameters were compared between severely malnourished (BMI of <16.0 kg/m(2)), malnourished (BMI of <18.5 kg/m(2)), and well-nourished (BMI of ≥18.5 kg/m(2)) individuals. No difference in total and protein-unbound pharmacokinetic parameters between severely malnourished (n = 7), malnourished (n = 11), and well-nourished (n = 25) patients could be demonstrated. In addition, no significant correlation between BMI and exposure (area under the concentration-time curve from 0 to 24 h [AUC0-24] and maximum concentration of drug in serum [Cmax]) was found. Females had significantly higher total AUC0-24 (geometric mean, 59.2 versus 48.2 h · mg/liter; P = 0.02) and higher unbound AUC0-24 (geometric mean, 6.2 versus 4.8 h · mg/liter; P = 0.02) than males. Overall, a marked 2-fold interindividual variation in the free fraction was observed (7.6 to 15.0%; n = 36). Nutritional status and BMI do not appear to have a major effect on total and protein-unbound pharmacokinetic parameters of rifampin in Indonesian subjects. The large interindividual variability in the free fraction of rifampin suggests that protein-unbound rather than total rifampin concentrations should preferably be used to study exposure-response relationships.

A rationale for reduced-frequency dosing of anidulafungin for antifungal prophylaxis in immunocompromised patients.

OBJECTIVES: Reduced-frequency dosing strategies of anidulafungin may offer a more convenient way of providing adequate antifungal prophylaxis to patients at high risk of invasive fungal diseases. We aimed to provide the pharmacological rationale for the applicability of reduced-frequency dosing regimens. METHODS: We defined two groups of 10 patients that were to receive anidulafungin at 200 mg every 48 h or 300 mg every 72 h. Blood samples were drawn daily and two pharmacokinetic curves were constructed after 1 and 2 weeks of treatment. A population pharmacokinetic model was developed using non-linear mixed-effects modelling. ClinicalTrials.gov identifier: NCT01249820. RESULTS: The AUC over a 6 day period (IQR) for a typical patient on 200 mg every 48 h or 300 mg every 72 h resulted in 348 mg ·â€Šh/L (310.6-386.7) and 359 mg ·â€Šh/L (319.1-400.9), respectively, comparable to the licensed regimen [397.0 mg ·â€Šh/L (352.4-440.5)]. In the final model, the volume of distribution proved to be dependent on the lean body mass and CL of cyclosporine A. All three regimens resulted in comparable dose-normalized exposure over time. CONCLUSIONS: We now have sufficient evidence to start using less frequent dosing regimens and demonstrate their value in clinical practice. These less frequently applied infusions enable more personalized care in an outpatient setting with reduced costs.

Five year results of an international proficiency testing programme for measurement of antifungal drug concentrations.

OBJECTIVES: Since 2007 the Dutch Association for Quality Assessment in Therapeutic Drug Monitoring (KKGT) has organized an international interlaboratory proficiency testing (PT) programme for measurement of antifungal drugs in plasma. We describe the 5 year results of the laboratories' performance. METHODS: Twice a year, laboratories received a set of blind plasma samples containing low or high concentrations of fluconazole, itraconazole, hydroxyitraconazole, posaconazole, voriconazole and flucytosine. Participating laboratories were asked to report their results within 6 weeks after dispatch and provide details of their analytical methods. Results deviating >20% from the weighed-in concentration were considered inaccurate. Four-way ANOVA was performed to assess the effect of antifungal drug measured, concentration, analytical method and performing laboratory on the absolute inaccuracy. In 2012, a questionnaire based on the CLSI guidelines was dispatched with the request to provide input on sources of error. RESULTS: Fifty-seven laboratories (13 countries) reported 2251 results (287 fluconazole, 451 itraconazole, 348 hydroxyitraconazole, 402 posaconazole, 652 voriconazole and 111 flucytosine) in 5 years. Analyses were performed using HPLC (55.0%), LC-MS(/MS) (43.4%), UPLC (1.4%) or GC-MS (0.2%). Overall, 432 (19.2%) analyses were inaccurate. The performing laboratory was the only factor clearly associated with inaccuracies. The questionnaire results indicated that laboratories encounter significant problems analysing low concentrations (15.4% of all inaccuracies). CONCLUSIONS: Results of the PT programme suggest that one out of five measurements is inaccurate. The performing laboratory is the main determinant of inaccuracy, suggesting that internal quality assurance is pivotal in preventing inaccuracies, irrespective of the antifungal drug measured, concentration and analytical equipment.

Pharmacokinetics of caspofungin in ICU patients.

OBJECTIVES: Caspofungin is used for treatment of invasive fungal infections. As the pharmacokinetics (PK) of antimicrobial agents in critically ill patients can be highly variable, we set out to explore caspofungin PK in ICU patients. METHODS: ICU patients receiving caspofungin were eligible. Patients received a loading dose of 70 mg followed by 50 mg daily (70 mg if body weight >80 kg); they were evaluable upon completion of the first PK curve at day 3. Additionally, daily trough samples were taken and a second PK curve was recorded at day 7. PK analysis was performed using a standard two-stage approach. RESULTS: Twenty-one patients were evaluable. Median (range) age and body weight were 71 (45-80) years and 75 (50-99) kg. PK sampling on day 3 (n = 21) resulted in the following median (IQR) parameters: AUC0-24 88.7 (72.2-97.5) mg·h/L; Cmin 2.15 (1.40-2.48) mg/L; Cmax 7.51 (6.05-8.17) mg/L; V 7.72 (6.12-9.01) L; and CL 0.57 (0.54-0.77) L/h. PK sampling on day 7 (n = 13) resulted in AUC0-24 107.2 (90.4-125.3) mg·h/L, Cmin 2.55 (1.82-3.08) mg/L, Cmax 8.65 (7.16-9.34) mg/L, V 7.03 (5.51-7.73) L and CL 0.54 (0.44-0.60) L/h. We did not identify any covariates significantly affecting caspofungin PK in ICU patients (e.g. body weight, albumin, liver function). Caspofungin was well tolerated and no unexpected side effects were observed. CONCLUSIONS: Caspofungin PK in ICU patients showed limited intraindividual and moderate interindividual variability, and caspofungin was well tolerated. A standard two-stage approach did not reveal significant covariates. Our study showed similar caspofungin PK parameters in ICU patients compared with non-critically ill patients.

Prevalence of potential drug-drug interactions in cancer patients treated with oral anticancer drugs.

BACKGROUND: Potential drug-drug interactions (PDDIs) in patients with cancer are common, but have not previously been quantified for oral anticancer treatment. We assessed the prevalence and seriousness of potential PDDIs among ambulatory cancer patients on oral anticancer treatment. METHODS: A search was conducted in a computer-based medication prescription system for dispensing oral anticancer drugs to outpatients in three Dutch centres. Potential drug-drug interactions were identified using electronic (Drug Interaction Fact software) and manual screening methods (peer-reviewed reports). RESULTS: In the 898 patients included in the study, 1359 PDDIs were identified in 426 patients (46%, 95% confidence interval (CI)=42-50%). In 143 patients (16%), a major PDDI was identified. The drug classes most frequently involved in a major PDDI were coumarins and opioids. The majority of cases concerned central nervous system interactions, PDDIs that can cause gastrointestinal toxicity and prolongation of QT intervals. In multivariate analysis, concomitant use of more drugs (odds ratio (OR)=1.66, 95% CI=1.54-1.78, P<0001) and genito-urinary cancer (OR=0.25, 95% CI=0.12-0.52, P<0001) were risk factors. CONCLUSION: Potential drug-drug interactions are very common among cancer patients on oral cancer therapy. Physicians and pharmacists should be more aware of these potential interactions.

Pharmacokinetics of the combination raltegravir/atazanavir in HIV-1-infected patients.

OBJECTIVES: To evaluate the use of raltegravir with unboosted atazanavir in combination with one nucleoside reverse transcriptase inhibitor (NRTI) (lamivudine or emtricitabine) as a potentially well-tolerated once-daily (qd) maintenance regimen. METHODS: We compared the pharmacokinetics of raltegravir 400 mg twice daily (bid) with raltegravir 800 mg qd in HIV-infected patients (n=17) on unboosted atazanavir (600 mg qd) in combination with lamivudine or emtricitabine. RESULTS: The area under the plasma concentration vs. time curve for a dose interval t (AUC0 -t ) of 800 mg qd divided by 2 was not significantly different from the AUC0 -t of 400 mg bid (P=0.664) but the minimum concentration (C min ) was 72% lower with the qd regimen (P=0.002). The regimen was well tolerated and the viral load remained undetectable in all patients during the 6 weeks of the study follow-up. CONCLUSIONS: A qd regimen of raltegravir 800 mg, atazanavir 600 mg and lamivudine or emtricitabine resulted in favourable pharmacokinetic profiles and good short-term safety and efficacy data. Larger phase IIb studies are needed to explore this novel regimen.

Exposure and virologic outcomes of dolutegravir combined with ritonavir boosted darunavir in treatment-naïve individuals enrolled in the Netherlands Cohort Study on Acute HIV infection (NOVA).

To the authors' knowledge, there is currently no literature or guidance recommendation regarding whether the dose of dolutegravir (DTG) should be increased when co-administered with darunavir/ritonavir (DRV/r) in patients with acute human immunodeficiency virus infection (AHI). This study assessed the pharmacokinetics (PK) of twice-daily (BID) DTG and once-daily (QD) DRV/r, and compared this with DTG QD without DRV/r in patients with AHI. Forty-six participants initiated antiretroviral therapy within <24 h of enrolment: DTG 50 mg BID, DRV/r 800/100 mg QD, and two nucleoside reverse transcriptase inhibitors (NRTIs) for 4 weeks (Phase I); and DTG 50 mg QD with two NRTIs thereafter (Phase II: reference). Total DTG trough concentration (Ctrough) and area under the concentration-time profile of 0-24 h (AUC0-24h) were predicted using a population PK model. DTG glucuronidation metabolic ratio (MR) and DTG free fraction were determined and compared per treatment phase using geometric mean ratio (GMR) and 90% confidence interval (CI). Participants had a predicted geometric mean steady-state DTG Ctrough of 2.83 [coefficient of variation (CV%) 30.3%] mg/L (Phase I) and 1.28 (CV% 52.4%) mg/L (Phase II), with GMR of 2.20 (90% CI 1.90-2.55). Total exposure during DTG BID increased but did not double [AUC0-24h GMR 1.65 (90% CI 1.50-1.81) h.mg/L]. DTG glucuronidation MR increased by approximately 29% during Phase I. DTG Ctrough was above in-vivo EC90 (0.32 mg/L) during both phases, except in one participant during Phase I. At Week 8, 84% of participants had viral loads ≤40 copies/mL. The drug-drug interaction between DTG (BID) and DRV/r (QD) was due to induced glucuronidation, and is not clinically relevant in patients with AHI.

Ribavirin rather than PEG-interferon pharmacodynamics predict nonresponse to antiviral therapy in naive chronic hepatitis C patients.

Twenty to fifty per cent of patients with chronic hepatitis C (CHC) experience nonresponse to current antiviral therapy, which may relate in part to ribavirin or PEG-interferon pharmacodynamics. We evaluated potential relevance of various factors for nonresponse. Two hundred forty-two naive CHC patients who received in a previous trial at least 24 weeks of antiviral therapy, including PEG-interferon alfa-2b and ribavirin, were analysed. Of them, 53% were infected with hepatitis C virus (HCV) genotype 1-4, 71% exhibited high viral load and 32% had severe fibrosis/cirrhosis. After 24 weeks of treatment, 39 patients (16%) were nonresponders. In multivariate analysis, lower serum ribavirin concentrations, HCV genotype 1-4 and higher baseline γ-GT predicted nonresponse. Week-24 ribavirin concentrations (2.2 vs 2.8 mg/L, P < 0.001), average ribavirin doses (14.5 vs 15.2 mg/kg per day, P = 0.03) and week-24 haemoglobin decreases (1.7 vs 2.0 mm, P = 0.02) were lower in nonresponders. Nonresponse rates increased progressively at decreasing ribavirin concentrations: 4%, 11%, 13% and 36% in case of serum ribavirin concentrations ≥4, 3-4, 2-3 and ≤2 mg/L, respectively (P = 0.001). Ribavirin concentrations correlated with both week-24 haemoglobin decreases (r = 0.42, P < 0.001) and ribavirin doses (r = 0.17, P = 0.01). Subgroup analysis in HCV genotype 1-4 patients revealed essentially the same results. Nonresponse was exceptional in HCV genotype 2-3 patients and associated with ribavirin concentrations <2 mg/L. Presumed interferon-related factors (average PEG-interferon doses and decreases in leucocytes, granulocytes, platelets and body weight) did not differ between nonresponders and responders. In conclusion, ribavirin- rather than PEG-interferon-related factors are independent and potentially modifiable predictors of nonresponse in treatment-naive CHC patients.

Prediction of Maternal and Fetal Doravirine Exposure by Integrating Physiologically Based Pharmacokinetic Modeling and Human Placenta Perfusion Experiments.

BACKGROUND AND OBJECTIVE: Doravirine is currently not recommended for pregnant women living with human immunodeficiency virus because efficacy and safety data are lacking. This study aimed to predict maternal and fetal doravirine exposure by integrating human placenta perfusion experiments with pregnancy physiologically based pharmacokinetic (PBPK) modeling. METHODS: Ex vivo placenta perfusions were performed in a closed-closed configuration, in both maternal-to-fetal and fetal-to-maternal directions (n = 8). To derive intrinsic placental transfer parameters from perfusion data, we developed a mechanistic placenta model. Next, we developed a maternal and fetal full-body pregnancy PBPK model for doravirine in Simcyp, which was parameterized with the derived intrinsic placental transfer parameters to predict in vivo maternal and fetal doravirine exposure at 26, 32, and 40 weeks of pregnancy. The predicted total geometric mean (GM) trough plasma concentration (Ctrough) values were compared with the target (0.23 mg/L) derived from in vivo exposure-response analysis. RESULTS: A decrease of 55% in maternal doravirine area under the plasma concentration-time curve (AUC)0-24h was predicted in pregnant women at 40 weeks of pregnancy compared with nonpregnant women. At 26, 32, and 40 weeks of pregnancy, predicted maternal total doravirine GM Ctrough values were below the predefined efficacy target of 0.23 mg/L. Perfusion experiments showed that doravirine extensively crossed the placenta, and PBPK modeling predicted considerable fetal doravirine exposure. CONCLUSION: Substantially reduced maternal doravirine exposure was predicted during pregnancy, possibly resulting in impaired efficacy. Therapeutic drug and viral load monitoring are advised for pregnant women treated with doravirine. Considerable fetal doravirine exposure was predicted, highlighting the need for clinical fetal safety data.