https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Pharmacokinetics of cannabis in cancer cachexia-anorexia syndrome https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29956 Thu 17 Feb 2022 09:29:58 AEDT ]]> Exogenous cannabinoid efficacy: merely a pharmacokinetic interaction? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37016 Thu 09 Dec 2021 11:04:18 AEDT ]]> A joint model for vitamin K-dependent clotting factors and anticoagulation proteins https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31207 Emax model linked to a turnover model for coagulation proteins. In the joint model, an unexpected pharmacodynamic lag was identified and the estimated degradation half-life of VK-dependent coagulation proteins were in agreement with previously published values. The model provided an adequate fit to the observed data. Conclusion: The joint model represents the first work to quantify the influence of warfarin on all six VK-dependent coagulation proteins simultaneously. Future work will expand the model to predict the influence of exogenously administered VK on the time course of clotting factor concentrations after warfarin overdose and during perioperative warfarin reversal procedures.]]> Sat 24 Mar 2018 08:44:46 AEDT ]]> The pharmacokinetics of methanol in the presence of ethanol : a case study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14377 Sat 24 Mar 2018 08:23:08 AEDT ]]> How 'optimal' are optimal sampling times for tyrosine kinase inhibitors in cancer? Practical considerations https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30308 2 or mg/kg basis and subsequent occurrence of dosing error or concern for underdosing. The ‘simple and safe’ strategy of a single dose of tyrosine kinase inhibitor for cancer has thus been widely adopted. However, the benefits purported to exist in the clinical trials do not appear to be borne out in clinical practice, particularly in solid tumours. In order to investigate whether pharmacokinetic variability is a contributor to the variable outcomes, pharmacokinetic targets to enable individualisation of tyrosine kinase inhibitor administration are now emerging. Evidence suggests there is not a clear relationship of a single dose to maximum plasma concentration (Cmax), steady-state trough concentration (Ctrough) or area under the curve (AUC). Furthermore, a significant number of questions remain related to the specific timing and frequency of sample collection required to achieve optimal outcomes. This article reviews the wide variability in the literature on this topic, specifically the different pharmacokinetic targets of the same drug for different cancers, for different states of cancer, and changing pharmacokinetic parameters over a treatment interval in cancer. It appears the optimal sampling times to enable appropriate dose recommendations across patients and diseases may vary, and are not always trough concentrations at steady state. Importantly, the need to be pragmatic in a clinical setting is paramount. Lastly, international collaborations to increase sample size are highly recommended to ensure enough patients are sampled to be sure of a clinical benefit from this concentration-directed methodology.]]> Sat 24 Mar 2018 07:31:48 AEDT ]]> Interethnic differences in pharmacokinetics of antibacterials https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28018 Sat 24 Mar 2018 07:31:12 AEDT ]]> Inability of current dosing to achieve carboplatin therapeutic targets in people with advanced non-small cell lung cancer: impact of systemic inflammation on carboplatin exposure and clinical outcomes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40009 n = 61) were analysed using non-linear mixed modelling. Covariate analysis was performed to investigate the impact of standard and novel patient characteristics of carboplatin pharmacokinetics. A Monte Carlo simulation of 100,000 representative NSCLC patients evaluated the ability of the Calvert formula and novel dosing strategies to achieve the targeted therapeutic range. The associations between systemic inflammation and chemotherapy drug utilisation (cycles received, relative dose intensity (RDI) and second-line uptake) and clinical endpoints were also investigated in the pharmacokinetic cohort, and two independent cohorts of people with advanced NSCLC from the Chemotherapy Dosing in Cancer-Related Inflammation (CDCRI) database that were administered carboplatin–paclitaxel (n  = 37) or carboplatin–gemcitabine (n  = 358). Results: In all cohorts, 25–53% of people had elevated systemic inflammation (NLR > 5 or PLR > 300). In the pharmacokinetic cohort, no patients achieved the desired therapeutic target of carboplatin. Carboplatin exposure was related to renal function, as estimated using the Cockcroft–Gault formula, albumin and inflammation (NLR). In the pharmacokinetic cohort, increasing carboplatin area under the curve (AUC) correlated with greater reductions in red blood cells and haemoglobin. In this cohort, the average measured AUC of partial responders was 2.4 mg·min/mL. Also in the pharmacokinetic cohort, only 12% of people with an NLR > 5 received four or more cycles of chemotherapy, compared with 62% of patients with an NLR ≤ 5 (p < 0.001). For people in the CDCRI cohort receiving carboplatin–gemcitabine, those with an NLR > 5 also received less cycles (four or more cycles, 41% vs. 60%; p < 0.01) as well as less second-line chemotherapy (46% vs. 60%; p = 0.02) compared with patients without inflammation. People in the pharmacokinetic cohort with an NLR > 5 had 12 months less median survival compared with people with an NLR ≤ 5 (6.5 vs. 18 months; p = 0.08). Similarly, overall survival was significantly shortened in people in the CDCRI cohort receiving carboplatin–gemcitabine with an NLR > 5 compared with those with an NLR ≤ 5 (7 vs. 12 months; p < 0.001), and Cox regression analysis showed a 1.5-fold (1.3–2.1; p < 0.001) increased hazard of death associated with the increased systemic inflammation. Simulations of the newly developed model-based and Calvert dosing assessed the ability to reach this study’s proposed actual target AUC of 2.2–2.6 mg·min/mL. These showed current Calvert dosing was predicted to result in substantial overexposure in patients with high systemic inflammation. The newly developed model showed equivalent levels of carboplatin therapeutic target achievement across the spectrum of inflammation observed in the lung cancer population. Conclusion: An alternate model-based dosing strategy for carboplatin was developed and is predicted to result in consistent drug exposure across the population and improve attainment of therapeutic targets. Further studies of this new model are warranted in people with advanced NSCLC.]]> Fri 15 Jul 2022 11:35:17 AEST ]]>