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Case report: Dolutegravir dosing post-Roux-en-Y gastric bypass surgery
Jennifer Hawkes
Northern Health
Background: Adequacy of dolutegravir drug exposure when administered after the duodenum (such as Roux-en-Y jejunostomy tube or Roux-en-Y gastric bypass surgery) is largely unknown. In addition, various gastrointestinal modifications including changes in gastric volume, acidity, emptying time, enterohepatic circulation and delayed entry of bile acids may be present post-surgery. Existing data are limited to individual case reports or case series with the timing of collection post-surgery varying. Pharmacokinetics are more likely to be altered in the early stages post-surgery. There is evidence of decreased exposure of dolutegravir following a Roux-en-Y gastric bypass surgery. In some cases, a temporary increase in dolutegravir dose to 50 mg BID may be considered.
Case report: A 53-year-old white male with HIV on antiretroviral therapy with dolutegravir/abacavir/lamivudine FDC and recent non-adherence with 1 month of missed doses is admitted for emergency Roux-en-Y gastric bypass surgery due to a septic shock and perforated gastric viscus with a suspected gastric tumour. He is non-obese and had a low BMI of 18.5. He was not virologically suppressed at the time of the surgery with an HIV VL 560 copies/mL and a CD4 count of 160 cells/mm3. The dolutegravir dose was increased to 50 mg BID with food post-surgery to mitigate potential decreased levels. Dolutegravir trough levels were measured at 7 days' post-dose increase (steady state), which was 2 weeks' post-surgery. A reduction in dolutegravir trough concentrations were observed compared to reference Cmin levels prior to the AM dose but not the supper dose (1137 and 2167 ng/mL vs. reference of 2120 ng/mL). A target dolutegravir trough has not yet been established nor has a dose limiting toxicity. His HIV viral load re-suppressed to <40 copies/mL at 1 month post-surgery and has remained suppressed at 2, 3 and 5 months' post-surgery with an increase of CD4 cells to 290 cells/mm3 at 5 months' post-surgery.
It was decided to continue dolutegravir BID long term in this patient due to one level being at reference and one below reference, the challenges with obtaining new steady-state levels, tolerability of the regimen and ongoing intermittent non-adherence.
Conclusion: This case study continues to highlight the importance of performing pharmacokinetic assessments in patients with the potential for impaired drug absorption to ensure antiretroviral success. Dolutegravir BID has been shown to be well tolerated for long-term use; however, there is the potential to reduce the dose in the future based on adherence and therapeutic drug monitoring.
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Population pharmacokinetics of ainuovirine and exposure–response analysis in the HIV-infected individuals
Su Bin1, Sun Jin1, Zhang Yihang1, Jiang Taiyi1, Xia Wei1, Zhang Tong1, Sun Lijun1, Wu Hao1, Qin Hong2 and Yun Xinming2
1Beijing Youan Hospital, Capital Medical University; 2Jiangsu Aidea Pharmaceutical Co., Ltd
Objective: Ainuovirine (ANV) is a novel new-generation non-nucleoside reverse transcriptase inhibitor (NNRTI) for treatment of human immunodeficiency virus type 1 (HIV-1) infection. This study aimed to evaluate the population pharmacokinetic profile and exposure-response relationship of ANV among people living with HIV (PLWH).
Methods: Plasma concentration–time data from phase 1 and phase 3 clinical trials of ANV were pooled for developing the population pharmacokinetic (PopPK) model. Exposure estimates obtained from the final model were used in exposure–response analysis for virologic and safety responses.
Results: ANV exhibited a non-linear pharmacokinetic profile, which was best described by a two-compartment model with first-order elimination. There were no significant covariates correlated to the pharmacokinetic parameters of ANV. The PopPK parameter estimate (RSE%) for CL/F was 6.46 L/h (15.0), and the clearance of ANV increased after multiple doses. The exposure–response model revealed no significant correlation between the virologic response (HIV-RNA < 50 copies/mL) at 48 weeks and the exposure, but the incidence of adverse events increased with the increasing exposure.
Conclusions: Our PopPK model supported ANV 150 mg once daily as the recommended dose for PLWH, requiring no dose adjustment for the studied factors. Optimization of ANV dose may be warranted in clinical practice due to an increasing trend in adverse reactions with increasing exposure.
Keywords: ainuovirine, expose–response model, HIV, population pharmacokinetics
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Effect of fluconazole on the pharmacokinetics of ainuovirine in healthy adult subjects
Li Linghua, Huang Jianfei, Lei Yan, Cai Weiping, Meng Yu, Xiao Lei, Zhao Yi, Lin Weitong, He Yaozu, Huang Kaipeng and Qin Hong
Guangzhou Eighth People's Hospital, Guangzhou Medical University
Introduction: Ainuovirine (ANV) is a newly developed next-generation non-nucleoside reverse transcriptase inhibitor (NNRTI) for used in combination therapy for people living with HIV (PLWH) in China, which is metabolized by CYP2C19. The aim of this phase 1 study was to assess the drug–drug interaction (DDI) and safety of ainuovirine when co-administered with fluconazole, a strong CYP2C19 inhibitor, by experimentally obtained in healthy adult subjects and a physiologically based pharmacokinetics (PBPK) model was developed for dose prediction of ainuovirine.
Methods: This was a single-centre, open-label, parallel-group, fixed-sequence, two-period study in healthy subjects (aged 20–45 years). Thirty-six healthy subjects were allocated into two groups. In group A, 18 healthy subjects received oral ainuovirine (150 mg) once daily in period 1 (days 1–7), followed by co-administration with oral fluconazole (200 mg) once daily in period 2 (days 8–14). In group B, 18 healthy subjects received oral fluconazole (200 mg) once daily in period 1 (days 1–7), followed by co-administration with oral ainuovirine (150 mg) once daily in period 2 (days 8–14). Blood samples were collected before and after dosing. A PBPK model (PK-SIM® version 11.2, Open Systems Pharmacology, USA) of ainuovirine and fluconazole was developed and validated to predict their DDIs.
Results: All subjects (N = 36) completed the study. In group A, when co-administered with fluconazole, geometric means of ainuovirine pharmacokinetics parameters Cmin,ss, AUC0–24,ss increased up to 233.0% and 349.6%, respectively, vs. ainuovirine alone, whereas the median Tmax,ss was unaffected. In group B, there were no apparent effects of ainuovirine on Cmax,ss, AUC0–24,ss and Tmax,ss for fluconazole. Possible treatment-related adverse events (AEs) assessed by investigators were fewer in group A (83.3%) vs. group B (94.4%), no death or grade ≥3 serious AE was reported. The PBPK modelling supports a dose reduction by half for co-administration of ainuovirine and strong CYP2C19 inhibitors such as fluconazole.
Conclusion: Co-administration of ainuovirine with fluconazole significantly increased ainuovirine systemic exposure, whereas ainuovirine did not appear to affect the exposure of fluconazole. The PBPK modelling supports a dose reduction by half (i.e. 75 mg) for coadministration of ainuovirine and strong CYP2C19 inhibitors such as fluconazole.
Keywords: ainuovirine, CPY2C19, drug–drug interactions, fluconazole, pharmacokinetics
Aims: Our investigation aimed to assess the dose rationale of tramadol in paediatric patients considering the effect of CYP2D6/OCT1 polymorphisms on systemic exposure. Recommendations were made for the oral dose of tramadol to be used in a prospective study in children (3 months to < 18 years old) with chronic pain.
Methods: Intravenous pharmacokinetic and genotype data from neonatal patients (n = 46) were available for this analysis. The time course of tramadol and O-desmethyltramadol (M1) concentrations was characterized using a nonlinear mixed effects approach in conjunction with extrapolation principles. Clinical trial simulations were then implemented to explore the effects of polymorphism, maturation and developmental growth on the disposition of tramadol and M1. Reported efficacious exposure range in adult subjects were used as reference.
Results: The pharmacokinetics of tramadol and M1 was characterized by a two-compartment model. The total clearance of tramadol (CLPP) comprised CYP2D6-mediated metabolism (CLPM) and other pathways (CLPO). Age-related changes in CLPM, CLPO and M1 clearance (CLMO) were described by a sigmoid function, with CYP2D6 as a covariate on CLPP and CLPM, and OCT1 on CLMO. Simulation scenarios including different CYP2D6/OCT1 combinations revealed that steady-state concentrations are above the putative ranges for analgesia in >15% and >70% of subjects after doses of 3 and 8 mg/kg, respectively.
Conclusions: In the absence of genotyping, reference exposure ranges can be used to define the dose rationale for tramadol in paediatric chronic pain. However, a starting dose of 0.5 mg/kg/day should be considered, followed by stepwise titration to the desired analgesic response.