Population Pharmacokinetics of Digoxin in Pediatric Patients

2002 ◽  
Vol 24 (6) ◽  
pp. 742-745 ◽  
Author(s):  
A. Martín-Suárez ◽  
A. C. Falcao ◽  
M. Outeda ◽  
F. J. Hernández ◽  
M. C. González ◽  
...  
2017 ◽  
Vol 106 (11) ◽  
pp. 3402-3409 ◽  
Author(s):  
Xinting Wang ◽  
Stephan Koehne-Voss ◽  
SivaNaga S. Anumolu ◽  
Jing Yu

2003 ◽  
Vol 43 (7) ◽  
pp. 698-710 ◽  
Author(s):  
Prabhu Rajagopalan ◽  
Marc R. Gastonguay

2018 ◽  
Vol 62 (9) ◽  
Author(s):  
Yi Zheng ◽  
Shu-Ping Liu ◽  
Bao-Ping Xu ◽  
Zhong-Ren Shi ◽  
Kai Wang ◽  
...  

ABSTRACT Azithromycin is extensively used in children with community-acquired pneumonia (CAP). Currently, the intravenous azithromycin is used off-label in children partly due to lacking of pharmacokinetic data. Our objective was to evaluate the population pharmacokinetics (PPK) and optimize dose strategy in order to improve treatment in this distinctive population. This was a prospective, multicenter, open-labeled pharmacokinetic study. Blood samples were collected from hospitalized pediatric patients and concentrations were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS). PPK analysis was conducted using NONMEM software. The pharmacokinetic data from 95 pediatric patients (age range, 2.1 to 11.7 years) were available for analysis. The PPK was best fitted by a two-compartment model with linear elimination. Covariate analysis verified that body weight and alanine aminotransferase (ALT) had significant effects on azithromycin pharmacokinetics, yielding a 24% decrease of clearance in patients with ALT of >40. Monte Carlo simulation showed that for children with normal liver function, a loading-dose strategy (a loading dose of 15 mg/kg of body weight followed by maintenance doses of 10 mg/kg) would achieve the ratio of the area under free drug plasma concentration-time curve over 24 h (fAUC) to MIC90 (fAUC/MIC) target of 3 h in 53.2% of hypothetical patients, using a normative MIC susceptibility breakpoint of 2 mg/liter. For children with ALT of >40, the proposed dose needed to decrease by 15% to achieve comparable exposure. The corresponding risk of overdose for the recommended dosing regimen was less than 5.8%. In conclusion, the PPK of azithromycin was evaluated in children with CAP and an optimal dosing regimen was constructed based on developmental pharmacokinetic-pharmacodynamic modeling and simulation.


2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Si-Chan Li ◽  
Qi Ye ◽  
Hua Xu ◽  
Long Zhang ◽  
Yang Wang

ABSTRACT Linezolid is a synthetic antibiotic very effective in the treatment of infections caused by Gram-positive pathogens. Although the clinical application of linezolid in children has increased progressively, data on linezolid pharmacokinetics in pediatric patients are very limited. The aim of this study was to develop a population pharmacokinetic model for linezolid in children and optimize the dosing strategy in order to improve therapeutic efficacy. We performed a prospective pharmacokinetic study of pediatric patients aged 0 to 12 years. The population pharmacokinetic model was developed using the NONMEM program. Goodness-of-fit plots, nonparametric bootstrap analysis, normalized prediction distribution errors, and a visual predictive check were employed to evaluate the final model. The dosing regimen was optimized based on the final model. The pharmacokinetic data from 112 pediatric patients ages 0.03 to 11.9 years were analyzed. The pharmacokinetics could best be described by a one-compartment model with first-order elimination along with body weight and the estimated glomerular filtration rate as significant covariates. Simulations demonstrated that the currently approved dosage of 10 mg/kg of body weight every 8 h (q8h) would lead to a high risk of underdosing for children in the presence of bacteria with MICs of ≥2 mg/liter. To reach the pharmacokinetic target, an elevated dosage of 15 or 20 mg/kg q8h may be required for them. The population pharmacokinetics of linezolid were characterized in pediatric patients, and simulations provide an evidence-based approach for linezolid dosage individualization.


Sign in / Sign up

Export Citation Format

Share Document