Примери за използване на Pharmacokinetic modelling на Английски и техните преводи на Български
{-}
-
Medicine
-
Colloquial
-
Official
-
Ecclesiastic
-
Ecclesiastic
-
Computer
Population pharmacokinetic modelling and simulation at steady state.
This dosing regimen for paediatric patients weighing 14-30 kg is based primarily on pharmacokinetic modelling.
Population pharmacokinetic modelling indicated that exposure decreased as body weight increased.
Dose, a reduction of the daily dose to 7.5 mg may be considered,based on pharmacokinetic modelling(see section 4.4).
Population pharmacokinetic modelling indicated that exposure decreased as body weight increased.
This dosing regimen for paediatric patients weighing 14-30 kg is based primarily on pharmacokinetic modelling, with supporting data from clinical studies.
A population pharmacokinetic modelling approach was used to investigate the influence of covariates.
After an initial 10 mg daily dose, a reduction of the daily dose to 7.5 mg may be considered,based on pharmacokinetic modelling(see section 4.2).
Population pharmacokinetic modelling has been used to evaluate the influence of sex on the pharmacokinetics of rufinamide.
The subcutaneous bioavailability of brodalumab estimated by population pharmacokinetic modelling was 54.7%(relative standard error[RSE]= 4.25%).
Based on population pharmacokinetic modelling, the estimated accumulation ratio after 20 weeks of dosing is 2.5-fold.
In this subgroup, after an initial 10 mg daily dose, a reduction of the daily dose to 7.5 mg may be considered,based on pharmacokinetic modelling(see section 4.4).
Based on population pharmacokinetic modelling, the estimated mean steady-state volume of distribution of brodalumab was approximately 7.24 L.
The safety and efficacy of the dose interval adjustment have not been evaluated in controlled clinical trials andthe recommendation is mainly based on pharmacokinetic modelling data.
Based on population pharmacokinetic modelling the estimated half-life of brodalumab was 10.9 days at steady-state after every other week subcutaneous dose of 210 mg.
(1) The safety and efficacy of the dose interval adjustment has not been clinically evaluated andthe recommendation is based on pharmacokinetic modelling data(see sections 4.4 and 5.2).
Pharmacokinetics in special patient groups Sex Population pharmacokinetic modelling has been used to evaluate the influence of sex on the pharmacokinetics of rufinamide.
The safety and efficacy of the dose adjustment guidance in patients with severe renal impairment has not been clinically evaluated andis based on pharmacokinetic modelling data.
The dosing regimen for paediatric patients weighing 14-30 kg is based primarily on pharmacokinetic modelling and supported by data from clinical studies using the individual components lamivudine and zidovudine.
The safety and efficacy of the dose interval adjustment have not been evaluated in controlled clinical trials andthe recommendation is mainly based on pharmacokinetic modelling data.
Population pharmacokinetic modelling revealed that creatinine clearance did not explain the variability between patients, hence, no dose modifications are recommended for patients with mild to moderate renal impairment.
The pharmacokinetic interactions between rufinamide and other antiepileptic medicinal products have been evaluated in patients with epilepsy,using population pharmacokinetic modelling.
Based on the population pharmacokinetic modelling analysis, the pharmacokinetics of canakinumab in young adult SJIA patients aged 16 to 20 years were similar to those in patients less than 16 years of age.
Other anti-epileptic medicinal products The pharmacokinetic interactions between rufinamide andother anti-epileptic drugs have been evaluated in patients with epilepsy using population pharmacokinetic modelling.
Where the same sampling duration was used,observed pharmacokinetic data and population pharmacokinetic modelling demonstrated that the pharmacokinetics of darbepoetin alfa was similar for paediatric and adult patients with CRF.
Population pharmacokinetic modelling using both adult and paediatric data showed that clearance of icatibant is related to body weight with lower clearance values noted for lower body weights in the paediatric HAE population.
Human-based methods, such as cell culture,“lab-on-a-chip” combined with microfluidics and population based pharmacokinetic modelling and simulation see for exampleWEB are in the range 70%- 100% predictive for humans.
Results from population pharmacokinetic modelling(data from subjects with baseline CLCR values ranging from 30.8 ml/min to 150 ml/min) indicated that renal impairment is unlikely to have clinically relevant effect on pazopanib pharmacokinetics.
Adalimumab exposure in adolescent HS patients was predicted using population pharmacokinetic modelling and simulation based on cross-indication pharmacokinetics in other paediatric patients(paediatric psoriasis, juvenile idiopathic arthritis, paediatric Crohn's disease, and enthesitis-related arthritis).
Based on the population pharmacokinetic modelling analysis, the expected exposures after a dose of 2 mg/kg were comparable across the CAPS paediatric age groups, but were approximately 40% lower in paediatric patients of very low body weight(e.g. 10 kg) than in adult patients(150 mg dose).