Population Pharmacokinetic Analysis Research Articles

Evaluation of machine learning methods for covariate data imputation in pharmacometrics.

Missing data create challenges in clinical research because they lead to loss of statistical power and potentially to biased results. Missing covariate data must be handled with suitable approaches to prepare datasets for pharmacometric analyses, such as population pharmacokinetic and pharmacodynamic analyses. To this end, various statistical methods have been widely adopted. Here, we introduce two machine-learning (ML) methods capable of imputing missing covariate data in a pharmacometric setting. Based on a previously published pharmacometric analysis, we simulated multiple missing data scenarios. We compared the performance of four established statistical methods, listwise deletion, mean imputation, standard multiple imputation (hereafter "Norm"), and predictive mean matching (PMM) and two ML based methods, random forest (RF) and artificial neural networks (ANNs), to handle missing covariate data in a statistically plausible manner. The investigated ML-based methods can be used to impute missing covariate data in a pharmacometric setting. Both traditional imputation approaches and ML-based methods perform well in the scenarios studied, with some restrictions for individual methods. The three methods exhibiting the best performance in terms of least bias for the investigated scenarios are the statistical method PMM and the two ML-based methods RF and ANN. ML-based approaches had comparable good results to the best performing established method PMM. Furthermore, ML methods provide added flexibility when encountering more complex nonlinear relationships, especially when associated parameters are suitably tuned to enhance predictive performance.

Population pharmacokinetics analysis of camidanlumab tesirine in patients with relapsed or refractory Hodgkin lymphoma and non-Hodgkin lymphoma.

The objective of this analysis was to develop a population pharmacokinetic (PPK) model to characterize camidanlumab tesirine (Cami) pharmacokinetics based on the phase 1 study in relapsed/refractory lymphoma (NCT02432235). An initial PPK model was developed based on a two-compartment model with parallel linear and nonlinear elimination pathways. Pharmacokinetic parameters were evaluated for correlation with potential demographic covariates; significant covariates were retained in the final model. In the final PPK model, baseline weight effects were included on clearance (CL), intercompartmental clearance (Q), and the volumes of distribution in the central (V1) and peripheral (V2) compartments. The baseline soluble CD25 (sCD25) effect was included on CL and maximum velocity of saturable clearance (Vmax); sex effect was included on CL and V1; and ethnicity effect was included on deconjugation clearance (CLdec). For a typical patient, CL and CLdec were 0.516 and 0.21L/day, respectively (tAb elimination half-life: 18.72days); V1 and V2 were 4.41 and 2.67 L, respectively; Vmax was 0.49mg/day; the Michaelis-Menten constant (Km) was 0.409µg/mL; and the first-order rate for decrease of Vmax (KDES) was 0.0197/day. Cami exposure was higher for patients with low baseline sCD25, higher body weight, and females. The final model described the observed data well, estimates of PK parameters were obtained, and covariates with significant effects on Cami exposure were identified. Altogether, this final PPK model provides a robust basis for analysis of Cami exposure-response relationships and further supports identification of the optimal Cami dosing schedule for patients with relapsed/refractory lymphoma.

Bioanalysis of tucatinib and metabolite, and a five-way cross-validation to support clinical pharmacokinetic analysis.

Tucatinib, a tyrosine kinase inhibitor of HER2, is approved in multiple regions for metastatic breast cancer and is being evaluated in metastatic colorectal and gastric cancers. During clinical development, quantification of tucatinib plasma concentrations for pharmacokinetic analysis was performed using MS/MS analysis by three laboratories using five different methods. Cross-validation was required to confirm data across laboratories were comparable. A five-way cross-validation procedure was developed where bioanalysis performed by one laboratory and method was used as a 'base'against which the other methods were validated. This cross-validation method provides an alternative to multiple head-to-head comparisons between two methods, and enabled combination of data from multiple tucatinib clinical trials for a single population pharmacokinetic analysis.

A Survey of Population Pharmacokinetic Reports Submitted to the USFDA: An Analysis of Common Issues in NDA and BLA from 2012 to 2021.

Population pharmacokinetic (PopPK) analysis is one of the important components of regulatory submission. The purpose of this study was to survey PopPK analysis reports in new drug applications (NDAs) and biological licensing applications (BLAs) submitted to the US Food and Drug Administration (FDA) and to retrieve the information regarding PopPK-related issues in the US FDA review reports. We surveyed NDAs and BLAs over the period from 2012 to 2022 from Drug@FDA databases and extracted the review reports from the website. We explored the issues identified in these reports and sorted them into four categories: (i) data used for PopPK analysis, (ii) base model development, (iii) final model development, and (iv) model evaluation. The percentage of the issues in each category and the total issues were calculated. Data from a total of 317 applications were analyzed. Of these, 122 applications had at least one PopPK-related issue, and the count went up to 168 issues. The proportion of issues for each category was ranked as follows: model evaluation (39%, 65 of 168), final model development (34%, 57 of 168), data used for PopPK analysis (14%, 24 of 168), and base model development (13%, 22 of 168). The most common issues were related to the goodness-of-fit plots, covariate selection, and high shrinkage of ETA, accounting for 17.9%, 15.5%, and 11.3% of the total issues, respectively. The findings from this study may help the applicant understand the FDA's thinking on the PopPK analysis.

Population pharmacokinetics of sublingually administered tacrolimus in infants and young children with liver transplantation.

Pharmacokinetics of tacrolimus after sublingual administration is not characterized in paediatric liver transplant patients. Therefore, we aimed to develop a population pharmacokinetic model of sublingually administered tacrolimus in patients who cannot swallow the capsules due to their age, sedation status and/or mechanical ventilation during the first weeks post-transplantation. Demographic, clinical and pharmacological variables, including tacrolimus whole blood concentrations obtained from therapeutic drug monitoring and data from dense-sampling pharmacokinetic profiles, were recorded in 26 paediatric patients with biliary atresia who underwent liver transplantation between 2016 and 2021. Population pharmacokinetic analysis was performed with NONMEM v7.4. Disposition of tacrolimus was best characterized by a 2-compartment model with clearance achieving half of the maximum elimination capacity (CLMAX =4.1L/h) at 4.6days post-transplantation (T50 ). Compared to sedated patients, nonsedated status showed an increased first-order absorption rate constant (1.1 vs. 0.1h-1 ) and a 24% reduction in bioavailability (FNS ) at 14 days post-transplant. The model was able to explain the oral absorption pattern in nonsedated patients as the result of gut bioavailability (0.9) and hepatic extraction ratio, with the latter being responsible for first-pass effects. Estimates of interindividual variability remained moderate (25.9% for the gut bioavailability) to high (79.8% for the apparent volume of distribution of the central compartment, and 101% for T50 ). A population pharmacokinetic model of sublingually administered tacrolimus in paediatric patients was developed to characterize different absorption mechanisms. Once the model is externally validated, the effect of post-transplant time on clearance and the sedation status may be considered in routine dosing management.

Population pharmacokinetic analysis for dabigatran etexilate in Chinese patients with non-valvular atrial fibrillation.

We aimed to develop a pharmacokinetic (PK) and pharmacodynamic (PD) model from healthy Chinese subjects and real-world non-valvular atrial fibrillation (NVAF) patients. We also investigated meaningful intrinsic and extrinsic factors and related biomarkers for bleeding events. We characterized the integrated PK/PD models based on rich PK/PD data [dabigatran concentration, activated partial thromboplastin time (APTT), prothrombin time (PT), and anti-factor IIa (anti-FIIa) activity] from 118 healthy volunteers and sparse PD data [APTT, PT, and anti-FIIa] from 167 patients with NVAF after verifying the model extrapolation performance. We also documented the correlations between PD biomarkers and clinically relevant bleeding events over one year. Next, we used the final integrated PK/PD model (a two-compartment, linear model with first-order absorption) to evaluate the influence of dosage and individual covariates on PD parameters. The age, high-density liptein cholesterol (HDL-C), and creatinine clearance (CrCL) improved the PK model fit. The linear direct-effects PD model described the correlation between APTT, PT, and anti-FIIa and plasma concentration. CrCL improved the PD model fit. Anti-FIIa was more sensitive to the increase in dabigatran exposure than APTT and PT in the PD model. Therefore, fixed dabigatran doses could be prescribed for patients with NVAF without adjusting for age and HDL-C. We observed an elevated bleeding tendency with higher peak and trough values of APTT, PT, and anti-FIIa. Randomized studies should be performed to evaluate the efficacy and safety of low-dose dabigatran in Chinese patients with NVAF.

Population Pharmacokinetic Analysis of Valsartan in Healthy Chinese Subjects.

The study was conducted to establish a population pharmacokinetic (PPK) model of valsartan in Chinese healthy subjects and investigate potential covariate impacts on the pharmacokinetics (PK) parameters. Data from a bioequivalence study with 78 Chinese healthy subjects were retrospectively analyzed to develop a PPK model of valsartan. Phoenix NLME 8.1 was used to build a PPK model and quantify the effects of covariates, such as demographic data and biochemical, on the PK parameters of valsartan. For the healthy Chinese population, valsartan conformed to the two-compartment model with an absorption lag time. In the final PPK model, food affected the absorption rate constant, while aspartate aminotransferase, alanine aminotransferase, and creatinine affected the clearance of the central compartment. The final PPK model was verified to be reproducible, and it can be used to evaluate the PK parameters. This is the first research describing the PPK profile of valsartan in healthy Chinese subjects, and it is expected to provide relevant PK parameters for further study of valsartan.

Population pharmacokinetics and exposure-response of trilaciclib in extensive-stage small cell lung cancer and triple-negative breast cancer.

Trilaciclib is a first-in-class, intravenous cyclin-dependent kinase 4/6 inhibitor that provides multilineage protection from chemotherapy-induced myelosuppression. This analysis aimed to characterize the population pharmacokinetics (PK) of trilaciclib, identify potential covariates influencing trilaciclib PK, and evaluate exposure-response relationships in extensive-stage small cell lung cancer (ES-SCLC) and triple-negative breast cancer (TNBC) trials. Population PK analysis was performed using data from healthy volunteers (n = 72), patients with ES-SCLC (n = 111) and patients with TNBC (n = 14). Exposure-response analyses were conducted to investigate the impact of trilaciclib exposure (AUC) on myeloprotective efficacy, antitumour efficacy and safety. Logistic regression and Cox regression models were used for binary and time-to-event endpoints, respectively. Trilaciclib PK was described by a three-compartment model. Sex, body surface area, baseline albumin concentration and age were identified as significant covariates on trilaciclib PK but did not have clinically relevant impact on exposure. Based on exposure-response analyses, lower and higher exposures of trilaciclib at clinical doses (200-280 mg/m2 ) were associated with similar myeloprotective effects. Trilaciclib exposure did not impact the antitumour effects of chemotherapy. Higher exposure to trilaciclib was associated with higher probabilities of headache, phlebitis/thrombophlebitis and injection site reactions. No dose adjustments are required based on the covariates tested. Trilaciclib resulted in optimal myeloprotective effects with no impact on antitumour effects of chemotherapy. However, higher exposure increased the probabilities of adverse events. The data further support selection of the recommended phase 2 dose (trilaciclib 240 mg/m2 ).

Population pharmacokinetic analysis, renal safety, and dosing optimization of polymyxin B in lung transplant recipients with pneumonia: A prospective study.

Objectives: This study aims to characterize the population pharmacokinetics of polymyxin B in lung transplant recipients and optimize its dosage regimens. Patients and methods: This prospective study involved carbapenem-resistant organisms-infected patients treated with polymyxin B. The population pharmacokinetic model was developed using the NONMEM program. The clinical outcomes including clinical treatment efficacy, microbiological efficacy, nephrotoxicity, and hyperpigmentation were assessed. Monte Carlo simulation was performed to calculate the probability of target attainment in patients with normal or decreased renal function. Results: A total of 34 hospitalized adult patients were included. 29 (85.29%) patients were considered of clinical cure or improvement; 14 (41.18%) patients had successful bacteria elimination at the end of the treatment. Meanwhile, 5 (14.71%) patients developed polymyxin B-induced nephrotoxicity; 19 (55.88%) patients developed skin hyperpigmentation. A total of 164 concentrations with a range of 0.56–11.66 mg/L were obtained for pharmacokinetic modeling. The pharmacokinetic characteristic of polymyxin B was well described by a 1-compartment model with linear elimination, and only creatinine clearance was identified as a covariate on the clearance of polymyxin B. Monte Carlo simulations indicated an adjusted dosage regimen might be needed in patients with renal insufficiency and the currently recommended dose regimens by the label sheet of polymyxin B may likely generate a subtherapeutic exposure for MIC = 2 mg/L. Conclusion: Renal function has a significant effect on the clearance of polymyxin B in lung transplant recipients, and an adjustment of dosage was needed in patients with renal impairments.

Population pharmacokinetic/pharmacodynamic analysis of PEG-rhGH enhances confidence in exploring dosing schemes with longer intervals

Background and objectivesPEG-rhGH (Jintrolong®, 0.2 mg/kg/week) is approved in China for the treatment of growth hormone deficiency (GHD) in children. Although 0.2 mg/kg/2 weeks PEG-rhGH failed the non-inferiority threshold of 20% compared with 0.2 mg/kg/week PEG-rhGH, it notably increases serum IGF-1 levels and height velocity in a phase IV trial. In the absence of investigation on the relationship between pharmacokinetics and pharmacodynamics, this analysis aimed to build a population pharmacokinetic/pharmacodynamic (PopPK/PD) model to characterize the relationship between serum PEG-rhGH concentration and serum insulin-like growth factor-1 (IGF-1) levels after subcutaneously administration of PEG-rhGH and to explore the possibility of flexible dosing schemes and improve the clinical monitor practice of IGF-1 levels. MethodsA total of 41 subjects were included for the PopPK analysis, consisting of 30 healthy adults (single dose of 0.1–0.4 mg/kg) and 11 GHD children (multiple doses of 0.2 mg/kg/2 weeks for 26 consecutive weeks). Only GHD children were included for the PopPK/PD analysis. The time courses of serum PEG-rhGH concentrations in healthy adults and GHD children and those of serum IGF-1 levels stimulated by serum PEG-rhGH were well developed with non-linear mixed-effects modeling. ResultsSerum PEG-rhGH pharmacokinetics after subcutaneous administration were adequately described by a one-compartment model with a zero-order input into the absorption compartment followed by first-order absorption dictating absorption into the central compartment, with a dual elimination process consisting of a capacity limited process and a non-capacity limited process. Body weight was a significant covariate. The drug effects on IGF-1 levels were adequately described by a turnover model with saturable effect relationship. IGF-1 responses at the various dosing scheme scenarios were simulated, and illustrated that dosing schemes with intervals longer than the approved one week could be promising, which may provide comparable peaks and average IGF-1 levels and IGF-1 SDS to dosing schemes that have been clinically proven to be tolerated and effective. An accurate prediction of the time course of the effect of various dosing schemes may assist the clinical monitoring practice. ConclusionsThis pharmacokinetic/pharmacodynamic analysis suggested that longer intervals or higher dosing strengths (e.g., 0.3 mg/kg/10 days) in children with GHD are promising compared with the approved dosing scheme (0.2 mg/kg/week). Our simulation may assist the clinical monitoring of the PEG-rhGH therapy.

A Review of Population Pharmacokinetic Models of Posaconazole.

Posaconazole is often used for the prophylaxis and treatment of invasive fungal infections (IFI). However, intra- and inter-individual differences and drug interactions affect the efficacy and safety of posaconazole. Precision dosing of posaconazole based on the population pharmacokinetic (PopPK) model may assist in making significant clinical decisions. This review aimed to comprehensively summarize the published PopPK models of posaconazole and analyze covariates that significantly influence posaconazole exposure. Articles published until May 2022 for PopPK analysis of posaconazole were searched in PubMed and EMBASE databases. Demographic characteristics, model characteristics, and results of PopPK analysis were extracted from the selected articles. In addition, the steady-state pharmacokinetic profiles of posaconazole were simulated at different covariate levels and dosing regimens. Out of the 13 studies included in our review, nine studies included adults, three included children, and one included both adults and children. All oral administration models were one-compartment models, and all intravenous administration models were two-compartment models. Body weight, proton pump inhibitors, and incidence of diarrhea were found to be important covariates. Clinically, the potential impact of factors such as patient physiopathologic characteristics and comorbid medications on posaconazole pharmacokinetics should be considered. Dose adjustment in combination with TDM or replacement with a tablet or intravenous formulation with higher exposure may be an effective way to ensure drug efficacy as well as to reduce fungal resistance. Meanwhile, published models require further external evaluation to examine extrapolation.

Population Pharmacokinetics and Exposure-Response Analyses for Risankizumab in Patients with Active Psoriatic Arthritis.

IntroductionRisankizumab is an anti-IL23 monoclonal antibody approved for the treatment of moderate to severe plaque psoriasis and active psoriatic arthritis (PsA). This work characterizes the pharmacokinetics of risankizumab in PsA compared with psoriasis and evaluates the efficacy and safety exposure–response relationships in PsA.MethodsThe population pharmacokinetic analyses included data from 1527 participants that originated from one phase 1 healthy participant study, one phase 2 dose-ranging study in patients with PsA with an open-label extension study, and two pivotal phase 3 studies in patients with PsA, where the clinical regimen of risankizumab 150 mg administered subcutaneously (SC) at weeks 0, 4, and every 12 weeks thereafter was compared with placebo. Pharmacokinetics were analyzed using nonlinear mixed-effects modeling. Simulation analyses using the final model were conducted to evaluate the impact of covariates on exposure. Data from 1407 patients with PsA from the phase 3 studies were included in the exposure–response analyses. Graphical analyses were used to evaluate efficacy and safety exposure–response relationships, and logistic regression was conducted for further assessment of efficacy exposure–response relationships.ResultsRisankizumab pharmacokinetics were well described by a two-compartment model with first-order SC absorption and elimination. None of the evaluated covariates showed clinically relevant impact on exposure. On the basis of the final model, systemic clearance, steady-state volume of distribution, and terminal phase elimination half-life were estimated to be ~ 0.31 L/day, 11.1 L, and 26.3 days, respectively, for a typical 90 kg patient with PsA. Absolute SC bioavailability was estimated to be 83.5%. Exposure–response quartile analyses suggested that exposures associated with the clinical regimen maximized efficacy across the endpoints evaluated. No exposure dependency was observed for key safety endpoints.ConclusionsRisankizumab exhibited linear and time-independent pharmacokinetics in patients with PsA and was comparable to patients with plaque psoriasis. Efficacy and safety exposure–response analyses support that the clinical regimen achieved robust efficacy with a favorable safety profile for patients with active PsA.Clinical Trials: NCT02596217, NCT02719171, NCT02986373, NCT03671148, and NCT03675308.Clinical Trials: NCT02596217, NCT02719171, NCT02986373, NCT03671148, and NCT03675308.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40744-022-00495-0.

Effect of Laparoscopic Sleeve Gastrectomy on the Pharmacokinetics of Oral Omeprazole Using a Population Approach.

Omeprazole is commonly prescribed to obese patients and patients after laparoscopic sleeve gastrectomy (LSG). The pharmacokinetics of oral omeprazole after LSG are still unknown. Therefore, the aim of this study was to investigate the pharmacokinetics of oral omeprazole in obese patients before and after LSG. A total of 331 blood samples were collected from 62 obese patients preoperatively (visit 1) followed by 41 patients 7 days post-LSG (visit 2) and 20 patients 1 month post-LSG (visit 3). Population pharmacokinetic analysis was performed using NONMEM to characterize the effect of LSG on omeprazole absorption and disposition. A one-compartment model with 12 transit absorption compartments and linear elimination successfully described the data. Compared with pre-surgery, the oral omeprazole time to maximum plasma concentration (Tmax) was reduced and maximum plasma concentration (Cmax) was higher, but the apparent clearance (CL/F) and area under the plasma concentration–time curve (AUC) were unchanged 7 days and 1 month after surgery. In addition, the CYP2C19 genotype and liver function exhibited a significant influence on omeprazole CL/F. LSG increased the rate of omeprazole absorption but did not affect omeprazole exposure. A dose of 20 mg omeprazole once daily may be adequate for relieving gastrointestinal tract discomfort at short-term follow-up post-LSG.

S4.5b A randomized, double blind phase II proof-of-concept superiority trial of fosravuconazole 200 mg or 300 mg weekly dose versus itraconazole 400 mg daily, all three arms in combination with surgery, in patients with eumycetoma in Sudan—pharmacokinetic results

S4.5 Mycetoma Clinical Trial on fosravuconazole treatment in eumycetoma– Top Line Results, September 22, 2022, 10:30 AM - 12:00 PM ObjectiveTo evaluate the pharmacokinetics (PK) of fosravuconazole (measured as ravuconazole) and itraconazole in patients with mild to moderate eumycetoma caused by Madurella mycetomatis using a non-compartmental PK analysis.MethodsParticipants received either 200 mg or 300 mg ravuconazole once weekly or 400 mg itraconazole daily for a total duration of 12 months. Plasma concentrations of ravuconazole and itraconazole were measured on day 1 of week 1, and on weeks 2, 3, 4, and months 2, 3, 6, and 12 (at end of treatment) for analysis of population PK. The exact time of dosing on the days of sample collection, and the exact time of sample collection within the collection time window, were recorded. Plasma concentrations were quantified using Ultraperformance Liquid Chromatography with fluorescence detection (UPLC-UV). Ravuconazole and itraconazole plasma concentration-time data was performed using a standard two stage approach with non-compartmental analysis. Derived exposure parameters of ravuconazole and itraconazole, including, but not limited to, Cmax and AUC at steady state (AUCs), were calculated. The effect of covariates, such as baseline characteristics/demographics, on PK were explored. AUCs were determined when at least three subsequent samples within one dosing interval were available.ResultsA total of 766 samples of ravuconazole in 68 participants and 226 samples of itraconazole in 36 participants were analyzed. The average concentration of ravuconazole (range) was 3.1 mg/l (0.01-12.33 mg/l), and for itraconazole was 1.59 mg/l (0.01-5.53 mg/l).Detailed Pharmacokinetic results will be communicated and discussed in the oral presentation.

Population Pharmacokinetics of Patritumab Deruxtecan in Patients With Solid Tumors.

Patritumab deruxtecan is an antibody-drug conjugate consisting of a fully human monoclonal antibody against human epidermal growth factor receptor3 (HER3) attached to a topoisomeraseI inhibitor payload via a tetrapeptide-based cleavable linker. As part of the pharmacometric analysis informing dose selection for later-stage development, population pharmacokinetics (PK) analysis of patritumab deruxtecan was conducted with pooled serum PK data from patients with HER3-expressing solid tumors (from 3 phase1/2 studies in breast, lung, and colorectal cancer; N=425) treated over the dose range of 1.6 to 8.0mg/kg intravenously every 3weeks. Population PK modeling for deruxtecan (DXd)-conjugated antibody (representing patritumab deruxtecan) and unconjugated MAAA-1181a (DXd, payload) was carried out sequentially. DXd-conjugated antibody PK was described using a 2-compartment model with parallel linear and nonlinear clearance. Unconjugated DXd PK was described using a 1-compartment model with linear clearance and release of DXd as a first-order, time-dependent function of the level of DXd-conjugated antibody in the central compartment. Preliminary covariate evaluation was conducted for prespecified covariates of pharmacological plausibility and clinical interest. The final model retained weight (on linear clearance and central volume) and albumin level, sex, and tumor type (on linear clearance) for DXd-conjugated antibody, and weight (on release rate constant) and hepatic function (on clearance) for unconjugated DXd. Effects of these covariates on the exposure metrics were generally mild and did not require dose adjustment for subpopulations in subsequent development. Further PK characterization for patritumab deruxtecan will evolve with emerging data.

Pharmacokinetics of hydroxychloroquine in Japanese systemic lupus erythematosus patients with renal impairment.

Reduction of the hydroxychloroquine (HCQ) dosage is recommended in systemic lupus erythematosus (SLE) patients with renal impairment, but a pharmacokinetics (PK) study of patients with renal impairment has not yet been performed. We investigated the PK of both single and multiple doses of HCQ and its metabolites in SLE patients with renal impairment who newly started HCQ at a daily dose of 300 mg based on an ideal body weight dosage of 6.5 mg/kg. Population PK analysis was performed using a non-linear mixed-effects model. In total, 219 samples from 21 patients were analysed. The PK of HCQ in blood after single and multiple oral administrations followed the two-compartment model. At steady state, the concentration ratio of HCQ to each metabolite was HCQ:desethylhydroxychloroquine:desethylchloroquine:bisdesethylchloroquine = 1:0.28:0.1:0.06. The HCQ concentration correlated positively with that of each metabolite. The estimated values (relative standard error) of the population PK parameters were the total clearance at 110 l/h (31%) and a central volume of distribution of 398 l (19%). Co-administration of prednisolone and age, but not renal impairment, were factors affecting the total clearance of HCQ. From the PK perspective, a dosage reduction is unnecessary in SLE patients with impaired renal function.

Clinical Pharmacokinetics and Pharmacodynamics of Rucaparib.

Rucaparib is an oral small-molecule poly(ADP-ribose) polymerase inhibitor indicated for patients with recurrent ovarian cancer in the maintenance and treatment settings and for patients with metastatic castration-resistant prostate cancer associated with a deleterious BRCA1 or BRCA2 mutation. Rucaparib has a manageable safety profile; the most common adverse events reported were fatigue and nausea in both indications. Accumulation in plasma exposure occurred after repeated administration of the approved 600-mg twice-daily dosage. Steady state was achieved after continuous twice-daily dosing for a week. Rucaparib has moderate oral bioavailability and can be dosed with or without food. Although a high-fat meal weakly increased maximum concentration and area under the curve, the effect was not clinically significant. A mass balance analysis indicated almost a complete dose recovery of rucaparib over 12 days, with metabolism, renal, and hepatic excretion as the elimination routes. A population pharmacokinetic analysis of rucaparib revealed no effect of age, sex, race, or body weight. No starting dose adjustments were necessary for patients with mild-to-moderate hepatic or renal impairment; the effect of severe organ impairment on rucaparib exposure has not been evaluated. In patients, rucaparib moderately inhibited cytochrome P450 (CYP) 1A2 and weakly inhibited CYP3As, CYP2C9, and CYP2C19. Rucaparib weakly increased systemic exposures of oral contraceptives and oral rosuvastatin and marginally increased the exposure of oral digoxin (a P-glycoprotein substrate). In vitro studies suggested that rucaparib inhibits transporters MATE1, MATE2-K, OCT1, and OCT2. No clinically meaningful drug interactions with rucaparib as a perpetrator were observed. An exposure-response analysis revealed dose-dependent changes in selected clinical efficacy and safety endpoints. Overall, this article provides a comprehensive review of the clinical pharmacokinetics, pharmacodynamics, drug-drug interactions, effects of intrinsic and extrinsic factors, and exposure-response relationships of rucaparib.

Population pharmacokinetic analysis of acetaminophen overdose with immediate release, extended release and modified release formulations

Objectives The introduction of delayed release formulations of acetaminophen (APAP) has created concern about the role of formulation in overdose. We examined the APAP overdose pharmacokinetic (PK) profiles to assess the role of dose, coingestants and formulation: immediate release (IR), extended release (ER), and modified release (MR) on APAP pharmacokinetic measures. Methods We collected by-subject APAP PK data: subject description, timed blood APAP concentrations, dose, and coingestants. We sought both overdose and randomized controlled trials (RCTs) for supratherapeutic doses involving ER or MR formulations. Data analysis and simulation used the non-linear mixed-effects modeling program NONMEM-version 7.4. Results The final dataset comprised 3,033 [APAP] from 356 subjects and 15 sources including 3 RCTs (179 subjects receiving IR, 122 ER, 65 MR). The final population PK (PopPK) model was a linear 2-compartment model with first-order (oral) absorption. Covariate relationships included: APAP absorption rate and bioavailability decreased with increased oral dose (p < 0.00005) for all 3 formulations (MR > ER > IR). Post hoc analyses showed opioid coingestant increased exposure (area under the curve, AUC) by factor of 1.6. Simulations of 100 g vs 10 g doses for IR, ER and MR showed overdose of the ER formulation exhibits slower absorption and lower C max, overall exposure (AUC) is less than 80% of an equivalent dose of IR acetaminophen. The overall exposure for the MR formulation is less than 70% of an equivalent dose of IR. Conclusions Acetaminophen ER and MR formulations have slower absorption and decreased bioavailability leading to a lower C max and later T max than the IR formulation. These results have potential clinical implications because delayed absorption could confound use of the Rumack-Matthew nomogram by underestimating the severity of ingestion early in the course of treatment.

Population pharmacokinetics of everolimus in adult liver transplant patients: Comparison to tacrolimus disposition and extrapolation to pediatrics.

Everolimus has recently been used to prevent graft rejection in liver transplantation and reduces the incidence of kidney dysfunction caused by calcineurin inhibitors. In this study, a population pharmacokinetic analysis was conducted to improve the individualization of everolimus therapy. Japanese post-liver transplant patients whose blood everolimus concentrations were measured between March 2018 and December 2020 were included in this study. A nonlinear mixed-effect modeling program was used to explore covariates that affect everolimus pharmacokinetics. Individual everolimus pharmacokinetic parameters estimated by the post-hoc Bayesian analysis using the final model were compared with the tacrolimus dose per trough concentration (D/C) ratio in each patient. The final model was extrapolated to pediatric liver transplant patients for external evaluation. A total of 937 concentrations from 87 adult patients were used in the model-building process. Everolimus clearance was significantly affected by the estimated glomerular filtration rate, concomitant use of fluconazole, sex, as well as total daily dose of everolimus (TDM effect). The estimated individual apparent clearance of everolimus by the post-hoc Bayesian analysis was moderately correlated with the D/C ratio of tacrolimus in each patient (R2 =0.330, p < 0.0001). The estimation accuracy in pediatric patients was considerably high, except for one infant out of 13 patients. In conclusion, population pharmacokinetic analysis clarified several significant covariates for everolimus pharmacokinetics in liver transplant patients. Everolimus pharmacokinetics moderately correlated with tacrolimus pharmacokinetics and could be extrapolated from adult to pediatric patients by body size correction, except for infants.

Pharmacokinetics of immediate and sustained-release formulations of paroxetine: Population pharmacokinetic approach to guide paroxetine personalized therapy in chinese psychotic patients.

Paroxetine is one of the most potent selective serotonin reuptake inhibitors (SSRIs) approved for treating depression, panic disorder, and obsessive-compulsive disorder. There is evidence linking genetic polymorphisms and nonlinear metabolism to the Paroxetine’s pharmacokinetic (PK) variability. The purpose of the present study was to develop a population PK (PPK) model of paroxetine in Chinese patients, which was used to define the paroxetine’s PK parameters and quantify the effect of clinical and baseline demographic factors on these PK characteristics. The study included 184 inpatients with psychosis (103 females and 81 males), with a total of 372 serum concentrations of paroxetine for PPK analyses. The total daily dosage ranged from 20 to 75 mg. One compartment model could fit the PKs characterize of paroxetine. Covariate analysis revealed that dose, formulation, and sex had a significant effect on the PK parameters of paroxetine; however, there was no evident genetic influence of CYP2D6 enzymes on paroxetine concentrations in Chinese patients. The study determined that the population’s apparent distribution volume (V/F) and apparent clearance (CL/F), respectively, were 8850 and 21.2 L/h. The CL/F decreased 1-2-fold for each 10 mg dose increase, whereas the different formulations caused a decrease in V/F of 66.6%. Sex was found to affect bioavailability (F), which decreased F by 47.5%. Females had higher F values than males. This PPK model described data from patients with psychosis who received paroxetine immediate-release tablets (IR-T) and/or sustained-release tablets (SR-T). Paroxetine trough concentrations and relative bioavailability were different between formulations and sex. The altered serum concentrations of paroxetine resulting from individual variants and additive effects need to be considered, to optimize the dosage regimen for individual patients.