Dataset Information

Population Pharmacokinetics of Oxycodone and Metabolites in Patients with Cancer-Related Pain.

ABSTRACT: Oxycodone is frequently used for treating cancer-related pain, while not much is known about the factors that influence treatment outcomes in these patients. We aim to unravel these factors by developing a population-pharmacokinetic model to assess the pharmacokinetics of oxycodone and its metabolites in cancer patients, and to associate this with pain scores, and adverse events. Hospitalized patients with cancer-related pain, who were treated with oral oxycodone, could participate. Pharmacokinetic samples and patient-reported pain scores and occurrence and severity of nine adverse events were taken every 12 h. In 28 patients, 302 pharmacokinetic samples were collected. A one-compartment model for oxycodone and each metabolite best described oxycodone, nor-oxycodone, and nor-oxymorphone pharmacokinetics. Furthermore, oxycodone exposure was not associated with average and maximal pain scores, and oxycodone, nor-oxycodone, and nor-oxymorphone exposure were not associated with adverse events (all p > 0.05). This is the first model to describe the pharmacokinetics of oxycodone including the metabolites nor-oxycodone and nor-oxymorphone in hospitalized patients with cancer pain. Additional research, including more patients and a more timely collection of pharmacodynamic data, is needed to further elucidate oxycodone (metabolite) pharmacokinetic/pharmacodynamic relationships. This model is an important starting point for further studies to optimize oxycodone dosing regiments in patients with cancer-related pain.

SUBMITTER: Agema BC

PROVIDER: S-EPMC8199682 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Controlled-release oxycodone/naloxone (OXN-CR) maintains the effect of opioid-induced analgesia through oxycodone while reducing the occurrence rate of opioid-induced constipation through naloxone. The present study was designed to assess the non-inferiority of OXN-CR to controlled-release oxycodone (OX-CR) for the control of cancer-related pain in Korean patients.In this randomized, open-labeled, parallel-group, phase IV study, we enrolled patients aged 20 years or older with moderate to severe cancer-related pain [numeric rating scale (NRS) pain score ?4] from seven Korean oncology/hematology centers. Patients in the intention-to-treat (ITT) population were randomized (1:1) to OXN-CR or OX-CR groups. OXN-CR was administered starting at 20 mg/10 mg per day and up-titrated to a maximum of 80 mg/40 mg per day for 4 weeks, and OX-CR was administered starting at 20 mg/day and up-titrated to a maximum of 80 mg/day for 4 weeks. The primary efficacy endpoint was the change in NRS pain score from baseline to week 4, with non-inferiority margin of -1.5. Secondary endpoints included analgesic rescue medication intake, patient-reported change in bowel habits, laxative intake, quality of life (QoL), and safety assessments.Of the ITT population comprising 128 patients, 7 with missing primary efficacy data and 4 who violated the eligibility criteria were excluded from the efficacy analysis. At week 4, the mean change in NRS pain scores was not significantly different between the OXN-CR group (n = 58) and the OX-CR group (n = 59) (-1.586 vs. -1.559, P = 0.948). The lower limit of the one-sided 95% confidence interval (-0.776 to 0.830) for the difference exceeded the non-inferiority margin (P < 0.001). The OXN-CR and OX-CR groups did not differ significantly in terms of analgesic rescue medication intake, change in bowel habits, laxative intake, QoL, and safety assessments.OXN-CR was non-inferior to OX-CR in terms of pain reduction after 4 weeks of treatment and had a similar safety profile. Studies in larger populations of Korean patients with cancer-related pain are needed to further investigate the effectiveness of OXN-CR for long-term pain control and constipation alleviation. Trial registration ClinicalTrials.gov NCT01313780, registered March 8, 2011.

Project description:PURPOSE:Etirinotecan pegol (EP), a long-acting topoisomerase-1 inhibitor, is a polyethylene glycol conjugate of irinotecan, with an intended indication for treatment of breast cancer with brain metastases. The objective of this study was to develop a population pharmacokinetic (popPK) model of EP and four of its metabolites (irinotecan, SN38, SN38-glucuronide, and APC) and determine covariates affecting their pharmacokinetics. METHODS:Data from 83 cancer patients enrolled in phase 1 studies were used. The model was developed in two stages: (1) concentration-time data were analyzed with a 3-analyte model for EP, irinotecan, and SN38; and (2) a 5-analyte model developed based on expansion of 3-analyte model to include concentration-time data for SN38 glucuronide and APC with parameter values from 3-analyte model fixed. Covariate relationships with parameters were selected based on Wald's test within the Wald's Approximation Method approach, first for the 3-analyte model then the 5-analyte model. RESULTS:The final integrated popPK model for the five analytes was a two-compartment per analyte model that followed the metabolic cascade of EP to irinotecan, followed by metabolism of irinotecan to the previously known metabolites, but with altered exposures as compared to administration of irinotecan. With the model developed based on total dose of EP, the population estimates of EP clearance and central volume were 0.237 L/h and 5.5 L, respectively. Patient age, body surface area (BSA), and estimated glomerular filtration rate were found to correlate with EP clearance and BSA with EP central volume. Individuals who were homozygous for UGT1A1*28 genotype had modestly reduced elimination capacity of SN38 compared to heterozygous and wild-type genotypes. Simulations evaluating the clinical importance of significant covariates indicated minimal change in areas under the curve and peak concentrations of EP and SN38. CONCLUSIONS:The pharmacokinetics of EP and four metabolites including the active metabolite SN38 were described by an integrated popPK model. Other than BSA, which was already accounted by a BSA-based dosing scheme, no other covariates were deemed to have clinical implications. No EP starting dose adjustment based on patient demographics and other covariates was deemed necessary.

Project description:Background and objectivesCariprazine, a dopamine D3-preferring D3/D2 receptor partial agonist, is approved for the treatment of adults with schizophrenia (1.5-6 mg/day) and manic/mixed (3-6 mg/day) episodes associated with bipolar I disorder. This population pharmacokinetic analysis describes the concentration-time profiles of cariprazine and its two major active metabolites, desmethyl-cariprazine (DCAR) and didesmethyl-cariprazine (DDCAR). Additionally, the potential impact of patient characteristics, creatinine clearance, and cytochrome P450 2D6 (CYP2D6) metabolizer status on the pharmacokinetics of cariprazine and its metabolites was evaluated.MethodsData from three phase 1 and ten phase 2/3 studies in adult patients with schizophrenia or bipolar mania were included. Nonlinear mixed-effects pharmacokinetic modeling was performed using the NONMEM software package. Compartmental modeling was performed sequentially with the cariprazine elimination rate used as the DCAR formation rate and likewise the elimination rate of DCAR used with a delay as the DDCAR formation rate.ResultsCariprazine pharmacokinetics were described by a three-compartment model with zero-order input of the dose to a depot compartment followed by first-order absorption and first-order elimination. DCAR and DDCAR pharmacokinetics were described by two-compartment models with linear elimination. Statistically significant predictors of pharmacokinetic parameters included weight, sex, and race, though differences in exposures were not large enough to require an adjustment in dose. Creatinine clearance was not a statistically significant predictor of drug clearance, and a post hoc analysis found that CYP2D6 metabolizer status was not associated with changes in exposure levels for cariprazine, DCAR, or DDCAR. The median time to 90% of steady state was approximately 1 week for cariprazine and DCAR and 3 weeks for DDCAR.ConclusionsPopulation pharmacokinetic modeling provided a quantitative description of the concentration-time profile of cariprazine and its metabolites.

Dataset Information

Population Pharmacokinetics of Oxycodone and Metabolites in Patients with Cancer-Related Pain.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets