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AIMS: The aims of this study were to develop a population pharmacokinetic (PK) model for risperidone ISM® and to investigate the relationships between active moiety exposure, as described by apparent clearance (CL40), and several covariates using all data from five clinical studies. METHODS: A population PK model was developed using active moiety concentrations from a study in healthy volunteers and two studies in patients with schizophrenia. Data from a comparative bioavailability study in medically stable patients and a Phase III study in patients with acute exacerbation of schizophrenia were then incorporated, using empirical Bayesian feedback and model refinement in NONMEM. Finally, covariate analysis was performed on CL40. RESULTS: The final model adequately described the pharmacokinetics of 6288 active moiety concentrations in 17 healthy volunteers and 430 patients with schizophrenia. This one-compartment disposition model had a complex absorption process, combining a small amount immediately entering the central active moiety compartment, two first-order absorption processes and a combined zero-order and first order process, with first-order elimination from the central compartment. Significant covariates on CL40 were BMI and sex. Goodness-of-fit (GOF) plots and visual predictive checks (VPC) confirmed acceptable description of the data. CONCLUSIONS: The population PK model adequately described active moiety concentrations from five clinical studies after risperidone ISM® administration. Relationships between active moiety exposure and covariates were defined in order to facilitate simulations for future studies. The model showed that risperidone ISM® rapidly achieves therapeutic plasma levels within the first hours after the first injection that are maintained sustainedly throughout the whole dosing interval following once-monthly gluteal injections of 100 mg and 75 mg.

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PURPOSE: Considerable amounts of injected immunoglobulin G-based therapeutic monoclonal antibodies, such as ramucirumab, are distributed into ascites. This study aimed to examine the effect of massive ascites on ramucirumab pharmacokinetics in patients with gastrointestinal cancers. METHODS: Population pharmacokinetic analysis of ramucirumab was performed using data on serum ramucirumab concentrations of 52 patients with gastrointestinal cancers, including 8 patients with massive ascites. The Bayesian method using the final population pharmacokinetic model was utilized to estimate trough ramucirumab concentrations after the first dose and at steady state. RESULTS: Population pharmacokinetic analysis revealed that massive ascites as well as body weight were influencing factors for ramucirumab clearance. The estimated ramucirumab clearance was significantly higher in patients with massive ascites than in those with no/mild ascites (0.020 ± 0.004 versus 0.013 ± 0.004 L/h, P < 0.001). The estimated trough ramucirumab concentrations were significantly lower in patients with massive ascites than in those with no/mild ascites after the first dose (26.4 ± 6.8 versus 36.1 ± 7.1 µg/mL, P < 0.001) and at steady state (41.4 ± 16.3 versus 65.9 ± 18.0 µg/mL, P < 0.001). CONCLUSION: In the present study, the presence of massive ascites affected the pharmacokinetics of ramucirumab in patients with gastrointestinal cancers. Our results suggest that dose optimization of ramucirumab may be necessary in patients with massive ascites due to higher ramucirumab clearance.

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PURPOSE: Better understanding of pharmacokinetics of oral vinorelbine (VNR) in children would help predicting drug exposure and, beyond, clinical outcome. Here, we have characterized the population pharmacokinetics of oral VNR and studied the factors likely to explain the variability observed in VNR exposure among young patients. DESIGN/METHODS: We collected blood samples from 36 patients (mean age 11.6 years) of the OVIMA multicentric phase II study in children with recurrent/progressive low-grade glioma. Patients received 60 mg/m2 of oral VNR on days 1, 8, and 15 during the first 28-day treatment cycle and 80 mg/m2, unless contraindicated, from cycle 2-12. Population pharmacokinetic analysis was performed using nonlinear mixed-effects modeling within the Monolix® software. Fifty SNPs of pharmacokinetic-related genes were genotyped. The influence of demographic, biological, and pharmacogenetic covariates on pharmacokinetic parameters was investigated using a stepwise multivariate procedure. RESULTS: A three-compartment model, with a delayed double zero-order absorption and a first-order elimination, best described VNR pharmacokinetics in children. Typical population estimates for the apparent central volume of distribution (Vc/F) and elimination rate constant were 803 L and 0.60 h-1, respectively. Following covariate analysis, BSA, leukocytes count, and drug transport ABCB1-rs2032582 SNP showed a dramatic impact on Vc/F. Conversely, age and sex had no significant effect on VNR pharmacokinetics. CONCLUSION: Beyond canonical BSA and leukocytes, ABCB1-rs2032582 polymorphism showed a meaningful impact on VNR systemic exposure. Simulations showed that the identified covariates could have an impact on both efficacy and toxicity outcomes. Thus, a personalized dosing strategy, using those covariates, could help to optimize the efficacy/toxicity balance of VNR in children.

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We conducted population pharmacokinetic (PPK) analysis and Monte Carlo simulations to determine the appropriate prophylactic dose of fluconazole to prevent invasive candidiasis in patients with hematological malignancies. Patients receiving chemotherapy or hematopoietic stem cell transplantation at Yokohama City University Hospital between November 2018 and March 2020 were included. Additionally, patients receiving oral fluconazole for prophylaxis were recruited. We set the free area under the curve/minimum inhibitory concentration (MIC) = 50 as the target and determined the largest MIC (breakpoint MIC) that could achieve more than 90% probability of target attainment. The blood fluconazole concentration of 54 patients (119 points) was used for PPK analysis. The optimal model was the one-compartment model with first-order administration and first-order elimination incorporating creatinine clearance (CLcr) as a covariate of clearance and body weight as a covariate of distribution volume. We conducted Monte Carlo simulation with fluconazole at 200 mg/day or 400 mg/day dosing schedules and patient body weight and CLcr ranging from 40 to 70 kg and 40-140 mL/min, respectively. The breakpoint MICs on the first dosing day and at steady state were 0.5-1.0 µg/mL and 1.0-2.0 µg/mL for 200 mg/day and 1.0-2.0 µg/mL and 2.0-4.0 µg/mL for 400 mg/day, respectively. The recommended dose was 400-700 mg/day for the loading dose and 200-400 mg/day for the maintenance dose. Our findings suggest that the optimal prophylactic dose of fluconazole in hematological malignancy patients depends on CLcr and body weight, and a sufficient loading and maintenance dose may be needed to completely prevent invasive candidiasis.

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Optimal vitamin D status is very important for reflecting not only bone but overall woman's health. The aim of the study was to determine pharmacokinetic variability of 25-hydroxy vitamin D, to reveal and quantify the most significant factors that affect its variability in the population of healthy non-menopausal women using the population pharmacokinetic (PopPK) approach. The study population consisted of 74 healthy reproductive women aged from 35 to 50 years, without the use of any supplement. A population pharmacokinetics analysis was conducted using a nonlinear mixed-effects model software. A total of 35 factors were assessed: demographic, clinical, biochemical data and lifestyle factors. The average age and bodyweight of our participants were 40.11 ± 4.35 years 65.30 ± 6.80 kg, respectively. The observed mean serum concentration of 25-hydroxy vitamin D was 26.51 ± 13.49 ng/mL with a wide range of 6.97 to 59.89 ng/mL. Development final PopPK model of the clearance of 25-hydroxy vitamin D showed that only the average daily dose of vitamin D intake from food had a significant influence, with a magnitude of its effects of 0.00401. These results could help when individualizing vitamin D intake in the form of supplements, especially during the wintertime, in healthy reproductive women.

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Previously, we performed population pharmacokinetic analysis and indicated age, mycophenolate mofetil (MMF)/mycophenolic acid (MPA) daily dose, and presence of nifedipine in patient therapy as significant predictors of MPA apparent clearance (CL/F) variability. This study aimed to determine the reliability of previously published population pharmacokinetic models derived from similar studies. Furthermore, this study investigated correspondence between chosen population models from the literature.By means of the Monte Carlo simulation method, pharmacokinetic models from different studies are simulated and analysed in the range of standard deviations of measured system parameters as well as the range of observed model parameters taken from the comparison studies.The 1000 numerical simulations were performed for every analysed model in order to calculate the most possible MPA CL/F values according to the expected values from the performed experiment. Fitting our results with other models showed how the presence of nifedipine makes difference in MPA CL/F values.By testing the data from selected studies into our model, a similar range of expected CL/F values was obtained, which may confirm the validity of our model. The results of our population pharmacokinetic study are partially applicable in models by other researchers.

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BACKGROUND: Despite the widespread use of amoxicillin in young children, efforts to establish the feasibility of simplified dosing regimens in resource-limited settings have relied upon empirical evidence of efficacy. Given the antibacterial profile of beta-lactams, understanding of the determinants of pharmacokinetic variability may provide a more robust guidance for the selection of a suitable regimen. Here we propose a simplified dosing regimen based on pharmacokinetic-pharmacodynamic principles, taking into account the impact of growth, renal maturation and disease processes on the systemic exposure to amoxicillin. MATERIALS AND METHODS: A meta-analytical modeling approach was applied to allow the adaptation of an existing pharmacokinetic model for amoxicillin in critically ill adults. Model parameterization was based on allometric concepts, including a maturation function. Clinical trial simulations were then performed to characterize exposure, as defined by secondary pharmacokinetic parameters (AUC, Cmax, Cmin) and T>MIC. The maximization of the T>MIC was used as criterion for the purpose of this analysis and results compared to current WHO guidelines. RESULTS: A two-compartment model with first order absorption and elimination was found to best describe the pharmacokinetics of amoxicillin in the target population. In addition to the changes in clearance and volume distribution associated with demographic covariates, our results show that sepsis alters drug distribution, leading to lower amoxicillin levels and longer half-life as compared to non-systemic disease conditions. In contrast to the current WHO guidelines, our analysis reveals that amoxicillin can be used as a fixed dose regimen including two weight bands: 125 mg b.i.d. for patients with body weight < 4.0 kg and 250 mg b.i.d. for patients with body weight ≥ 4.0 kg. CONCLUSIONS: In addition to the effect of developmental growth and renal maturation, sepsis also alters drug disposition. The use of a model-based approach enabled the integration of these factors when defining the dose rationale for amoxicillin. A simplified weight-banded dosing regimen should be considered for neonates and young infants with sepsis when referral is not possible.

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In recent years, augmented renal clearance (ARC), in which renal function is excessively enhanced, has been reported, and its influence on ß-lactam antibiotics has been investigated. In this study, we aimed to determine the optimum population pharmacokinetic model of meropenem in patients with sepsis with ARC, and evaluated dosing regimens based on renal function. Seventeen subjects (6 with ARC and 11 without) were enrolled in this study. Predicted meropenem concentrations were evaluated for bias and precision using the Bland-Altman method. To examine the dosing regimen, Monte Carlo simulation was performed to calculate the cumulative fraction of response (CFR). In patients with ARC, the bias (average of the predicted value and measured value residuals) of models constructed by Crandon et al. (2011), Roberts et al. (2009), and Jaruratanasirikul et al. (2015) were 5.96 µg/mL, 10.91 µg/mL, and 4.41 µg/mL, respectively. Following 2 g meropenem every 8 h (180 min infusion), CFR ≥ 90%, a criterion of success for empirical therapy, was achieved, even with creatinine clearance of 130-250 mL/min. For patients with sepsis and ARC, the model of Jaruratanasirikul et al. showed the highest degree of accuracy and precision and confirmed the efficacy of the meropenem dosing regimen in this patient population.

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Pulmonary hypertension (PH) is a disease with poor prognosis, caused by the obstruction/stenosis of small pulmonary arteries. Statin is known to have vasodilating and anti-inflammatory property and is considered to be a candidate of therapeutic agents for the treatment of PH, but its efficacy has not been verified in clinical trials. We have formulated pitavastatin incorporating nanoparticles composed of poly (lactic-co-glycolic acid) (NK-104-NP) to improve drug delivery to the pulmonary arteries and evaluated their safety and pharmacokinetics in healthy volunteers. To accomplish this purpose, phase I clinical trials were conducted. In the single intravenous administration regimen, 40 healthy subjects were enrolled and PK (pharmacokinetic) parameters in 4 groups (1, 2, 4, and 8 mg as pitavastatin calcium) were as follows: 1.00 hour after the administration, the plasma concentration of pitavastatin reached Cmax (the maximum drug concentration) in all groups. Cmax, AUC0-t (area under the curve from time 0 to the last measurable concentration) and AUC0-∞ (area under the curve from time 0 extrapolated to infinite time) were increased in a dose-dependent manner. Population pharmacokinetic analysis based on these results indicated no accumulation of pitavastatin after repeated administration of NK-104-NP for 7 days. In this 7-day administration trial, the mean Cmax and AUC0-∞ of pitavastatin were not significantly different between days 1 and 7, suggesting that pitavastatin is unlikely to accumulate after repeated administration. In these trials, three adverse events (AEs) were reported, but they were resolved without any complications and judged to have no causal relationships with NK-104-NP. These results indicate that the innovative nanotechnology-based medicine NK-104-NP exhibited dose-dependent pharmacokinetics and was well tolerated with no significant AEs in healthy volunteers.

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Busulfan is the most common chemotherapy agent used in allogeneic hematopoietic cell transplant (HCT) conditioning regimens. As narrow therapeutic index and interpatient variability exists in the effectiveness and toxicity of conditioning regimens, personalizing intravenous busulfan therapy is desirable. Population pharmacokinetic-based approaches have been applied to therapeutic drug monitoring for the purpose of personalizing therapy. A population pharmacokinetic analysis with the objective of personalizing therapy in Japanese patients was conducted by integrating pediatric patient data with adult patient data. McCune's model, a 2-compartment model that includes maturation of clearance and allometric scaling of clearance and volume of distribution, was used for the analysis. McCune's model could precisely describe the Japanese data, and the estimated parameters were similar to McCune's results for non-Japanese, indicating that there are no racial differences in busulfan pharmacokinetics. Using this model, the plasma concentrations for once-daily dosing were simulated to adapt new dosage regimens for the benefit and convenience of both patients and medical staff. The predicted busulfan concentrations were within the therapeutic range.

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AIM: α1 -Acid glycoprotein (AAG), which is a major binding protein of docetaxel, is considered to be a determinant for docetaxel pharmacokinetics. However, there are no reports about the impact of serum AAG on pharmacokinetics and pharmacodynamics in elderly patients treated with docetaxel. The aim of this prospective study was to elucidate the effects of advanced age and serum AAG on docetaxel unbound exposure and neutropenia, dose-limiting toxicity, in cancer patients. METHODS: Docetaxel was administered at 60 mg m-2 to 51 patients with non-small cell lung cancer, 17 of whom were ≥75 years of age. Pharmacokinetics, unbound fraction (fu), neutropenia, serum protein levels of AAG and albumin, as well as baseline absolute neutrophil count (ANC) were assessed during the first course. Population pharmacokinetic and pharmacodynamic analyses were performed to evaluate the influence of clinically relevant factors on docetaxel pharmacokinetics and neutropenia. RESULTS: Clearance of docetaxel and degree of fu were significantly associated with serum AAG level, but not with age. Area under the concentration-time curve of unbound docetaxel (fu·AUC) was significantly higher in patients aged ≥75 years (0.389 µg·h ml-1 , 95% CI; 0.329-0.448 µg·h ml-1 ) compared with patients aged <75 years (0.310 µg·h ml-1 , 95% CI; 0.268-0.352 µg·h ml-1 ). Percent decrease in ANC at nadir related to fu·AUC, and was dependent on baseline ANC. CONCLUSION: Regardless of ageing, serum level of AAG determines docetaxel unbound exposure and related dose-limiting toxicity. Serum AAG level and ANC at baseline appear to be predictive of neutropenia for patients of all ages following the administration of docetaxel.

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Teriparatide is a potent therapeutic agent for the treatment of osteoporosis. One of the aims of this analysis was to develop a population pharmacokinetic (PPK) model to understand the pharmacokinetic characteristics of the once-weekly formulation of teriparatide. Another aim was to develop an exposure-response model to describe the relationship between change in bone mineral density (BMD) and teriparatide exposure after weekly subcutaneous administration. The PPK analysis showed that apparent total body clearance was significantly influenced by estimated creatinine clearance and the presence of osteoporosis. A data set consisting of lumbar spine BMD values for 513 osteoporosis patients whose area under the concentration-time curve (AUC) of teriparatide acetate was estimated by the developed PPK model was then compiled. Exposure-response analysis showed that the percentage change from baseline of BMD was well described by a function of the AUC of teriparatide acetate, time, and coadministration of alfacalcidol and a calcium preparation. The analysis indicated that AUC is an important parameter for predicting BMD response to once-weekly teriparatide in osteoporosis patients.

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Ceritinib is a second-generation selective and potent oral anaplastic lymphoma kinase (ALK) inhibitor approved for ALK-positive advanced non-small cell lung cancer previously treated with crizotinib. Population pharmacokinetic (PK) analysis was performed to describe the PK of ceritinib and was used to evaluate the covariate effects on systemic exposure at its label dose (750 mg orally once daily). Ceritinib concentration-time data from 4 clinical studies were described by a 1-compartment model with delayed first-order absorption and time-dependent elimination. The apparent clearance at steady state (CL/Fss ) was determined to increase with body weight and albumin but decrease with an increase in alanine aminotransferase. Japanese ethnicity appeared to significantly influence the apparent fractional turnover rate of the inhibited metabolic enzyme (kout ). No dose adjustment was necessary in patients with lower body weight or with preexisting mild hepatic impairment. The ceritinib steady-state exposure (AUCss ) at 750 mg increased by 8% (90% prediction interval [PI], 2-16) in non-Japanese Asians and 31% (90%PI, 17-44) in Japanese patients compared with that in white patients. Other covariates including sex, age, baseline Eastern Cooperative Oncology Group performance status, baseline total bilirubin, baseline estimated glomerular filtration rate, prior crizotinib treatment, and concomitant use of proton pump inhibitors had no statistically significant effect on ceritinib PK parameters. In conclusion, the nonlinear PK of ceritinib was described using a population-based approach in patients with ALK-positive tumors. None of the covariates assessed in this study were considered clinically relevant and therefore do not warrant dose adjustment.

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INTRODUCTION: Pharmacokinetic of vancomycin in very low birth weight neonates showed big variety, and limited data were available due to very minor population. These facts make it difficult to adjust its optimal initial dosage. Therefore, this study was to develop optimal dosing regimen of vancomycin in very low birth weight neonates. METHODS: Between 2010 and 2015, low birth weight neonates (≤1500 g) were included in a population pharmacokinetics analysis. Based on the pharmacokinetic parameters we estimated, we simulated individual blood concentrations of vancomycin and evaluated the probability of its pharmacokinetics/pharmacodynamics (PK/PD) target attainment, such as 24-h area under the concentration-time curve (AUC24)/MIC (≥400) and blood trough concentration (10-20 µg/mL), as primary measure for several dosing regimens by Monte Carlo simulation method. RESULTS: Ten patients were prescribed vancomycin and detected its blood concentrations as routine pharmacy practice to adjust the dosage. A one-compartment model was used and clearance significantly correlated with serum creatinine and the volume of infusion. In this model, vancomycin dose at 10 mg/kg three times a day (TID) was predicted to result 86.7% of neonates for an MIC of 1 µg/mL achieving AUC/MIC of ≥400 and 30.6% of the neonates for an MIC of 2 µg/mL. Moreover, the probability of reaching the target trough concentration was 70.5% for patients treated with vancomycin 10 mg/kg TID. DISCUSSION: We recommended vancomycin 10 mg/kg TID as initial dosage regimens for low birth weight neonates infected with the pathogens showed MIC of ≤1 µg/mL.

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Population pharmacokinetic analysis of lithium during therapeutic drug monitoring and drug compliance assessment was performed in 54 patients and 246 plasma concentrations levels were included in this study. Patients received several treatment cycles (1-9) and one plasma concentration measurement for each patient was obtained always before starting next cycle (pre-dose) at steady state. Data were analysed using the population approach with NONMEM version 7.2. Lithium measurements were described using a two-compartment model (CL/F=0.41Lh-1, V1/F=15.3L, Q/F=0.61Lh-1, and V2/F = 15.8L) and the most significant covariate on lithium CL was found to be creatinine clearance (reference model). Lithium compliance was analysed using inter-occasion variability or Markovian features (previous lithium measurement as ordered categorical covariate) on bioavailability parameter. Markov-type model predicted the lithium compliance in the next cycle with higher success rate (79.8%) compared to IOV model (65.2%) and reference model (43.2%). This model becomes an efficient tool, not only being able to adequately describe the observed outcome, but also to predict the individual drug compliance in the next cycle. Therefore, Bipolar disorder patients can be classified regarding their probability to become extensive or poor compliers in the next cycle and then, individual probabilities lower than 0.5 highlight the need of intensive monitoring, as well as other pharmaceutical care measurements that might be applied to enhance drug compliance for a better and safer lithium treatment.

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The efficacy of arbekacin in patients with MRSA infections is influenced by the peak concentration (Cpeak)/MIC ratio (≧8). A daily arbekacin dose of 4-6 mg/kg is primarily used for the treatment of MRSA infection. However, clinical pharmacokinetic studies of arbekacin that evaluate changes in patients with different infectious diseases have been limited. This study was to evaluate the pharmacokinetics of arbekacin in different infectious diseases and to evaluate its dosing regimens. This work describes a single-centre, retrospective study. The pharmacokinetic parameters of arbekacin were calculated from individual serum-concentration data using WinNonlin ver. 6.3. A total of 331 serum samples were obtained from 170 patients. Our drug concentration-time data were well described by a two-compartment open model. The final model showed that drug clearance was related to creatinine clearance and that the total distribution volume (Vd) was related to actual body weight and the presence of bacteremia. The individual Vd in bacteremia patients was significantly higher than those of other patients (bacteremia: 29.7 ± 0.5 L, pneumonia: 20.8 ± 0.4 L, other infections: 21.4 ± 0.4 L; p < 0.05). Additionally, Monte Carlo simulation showed that target (Cpeak/MIC â‰§ 8) attainment was only 10.1%, even at a dose of 6 mg/kg, especially for MRSA bacteremia patients with an arbekacin MIC = 2 µg/mL. In conclusion, our study revealed that the Vd may be higher in bacteremia patients than in patients with other infectious diseases. Therefore, an increase in the daily dose of arbekacin should be considered for bacteremia patients.

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AIMS: The aim of this study was to develop a population pharmacokinetic (PK) model of udenafil and its active metabolite, DA-8164, in healthy subjects and patients with hepatic impairment (HI) and to estimate the optimal dosing recommendations for patients with HI. METHODS: An open label, three parallel group, age and weight matched control study was conducted in 18 volunteers, six healthy subjects (n = 6) and patients with mild (Child-Pugh class A, n = 6) and moderate HI (Child-Pugh class B, n = 6). Serial blood samples were collected for up to 72 h after a single administration of udenafil 100 mg. A population PK model was developed using non-linear mixed effects modelling (nonmem, ver. 7.2). The simulated data from the final PK model and original data of healthy subjects were compared to identify the optimal dose for patients with HI. RESULTS: A two compartment model for both udenafil and DA-8164 best described the data. Prothrombin time on metabolic clearance of udenafil to DA-8164 was included in the final model as a covariate. Compared with the AUC(0,tlast ) value after administration of udenafil 100 mg to healthy subjects, the geometric mean ratios (95% confidence interval) after 100 mg and 75 mg udenafil administration were 1.21 (1.10, 1.32) and 0.74 (0.67, 0.81) in patients with mild HI, respectively. Meanwhile, those were 1.55 (1.43, 1.67) and 1.02 (0.92, 1.12) in patients with moderate HI, respectively. CONCLUSIONS: This study suggests that the recommended doses of udenafil are 100 mg and 75 mg in patients with mild and moderate HI, respectively.

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1. The aim of this study was to develop a population pharmacokinetic (PK) model for 5-fluorouracil (5-FU) and perform simulations to identify the circadian rhythm of the PK of 5-FU and the degree of circadian effects on the 5-FU plasma concentrations. 2. 5-FU plasma concentrations in rats following administration of 5-FU at varying time points throughout the day were obtained and used to develop the population PK model incorporating a circadian rhythm. The Cosinor method was used to describe the circadian variation of 5-FU clearance. 3. Our population PK model could successfully characterize the 5-FU disposition and provide reliable PK parameter estimates. The mesor, amplitude and acrophase of Cosinor model were estimated as 1.93 L/h/kg, 0.10 L/h/kg and 2.02 h, respectively. The peak clearance levels were estimated at ∼2 Hours After Light Onset (HALO) and the trough levels at ∼14 HALO. The plasma concentration-time profile of 5-FU after continuous infusion of 5-FU in rats successfully simulated the circadian variation of steady-state plasma concentrations. 4. The population PK model with individual 5-FU plasma concentrations, dose levels and sampling time points could be valuable for estimating area under the curve (AUC) levels and determining individual 5-FU dose management.

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Doripenem is a parenteral carbapenem antibiotic with broad-spectrum antimicrobial activity. A pharmacokinetic (PK) analysis of a 1-h intravenous (i.v.) dose of 500 mg doripenem in ten clinically ill, elderly patients with nosocomial pneumonia (NP) was conducted. Concentrations of unchanged doripenem were measured in plasma using a validated liquid chromatography method coupled to a tandem mass spectrometry assay. Geometric means of maximum plasma concentration, area under the plasma concentration-time curve over the dosing interval at steady state, time to reach maximum plasma concentration, and terminal elimination half-life for 500 mg doripenem as a 1-h infusion were 22.40 µg/mL, 57.02 µgh/mL, 1.0h and 1.89h, respectively. In addition, a population PK analysis was performed to examine the influencing factors on the pharmacokinetics of doripenem and to estimate the time above minimum inhibitory concentration (T>MIC) by a post hoc Bayesian estimation. The effect of creatinine clearance was the most significant covariate on doripenem clearance. The estimated %T>MIC against a MIC of 2 µg/mL exceeded 40% in all patients. In the treatment of NP in elderly patients, a 1-h i.v. dose of 500 mg doripenem three times daily may provide a favourable antimicrobial effect against bacteria with MICs up to 2µg/mL and would therefore be a treatment option for NP.

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