Alternative Approaches to Estimation of Population Pharmacokinetic Parameters: Comparison with the Nonlinear Mixed-Effect Model

1984 ◽  
Vol 15 (1-2) ◽  
pp. 265-292 ◽  
Author(s):  
Jean-Louis Steimer ◽  
Alain Mallet ◽  
Jean-Louis Golmard ◽  
Jean-François Boisvieux
2004 ◽  
Vol 48 (4) ◽  
pp. 1159-1167 ◽  
Author(s):  
Toshimi Kimura ◽  
Keisuke Sunakawa ◽  
Nobuo Matsuura ◽  
Hiroaki Kubo ◽  
Shigehiko Shimada ◽  
...  

ABSTRACT Immature renal function in neonates requires antibiotic dosage adjustment. Population pharmacokinetic studies were performed to determine the optimal dosage regimens for three types of antibiotics: an aminoglycoside, arbekacin; a glycopeptide, vancomycin; and a carbapenem, panipenem. Eighty-three neonates received arbekacin (n = 41), vancomycin (n = 19), or panipenem (n = 23). The postconceptional ages (PCAs) were 24.1 to 48.4 weeks, and the body weights (BWs) ranged from 458 to 5,200 g. A one-compartment open model with first-order elimination was applied and evaluated with a nonlinear mixed-effect model for population pharmacokinetic analysis. In the fitting process, the fixed effects significantly related to clearance (CL) were PCA, postnatal age, gestational age, BW, and serum creatinine level; and the fixed effect significantly related to the volume of distribution (V) was BW. The final formulas for the population pharmacokinetic parameters are as follows: CLarbekacin = 0.0238 × BW/serum creatinine level for PCAs of <33 weeks and CLarbekacin = 0.0367 × BW/serum creatinine level for PCAs of ≥33 weeks, V arbekacin = 0.54 liters/kg, CLvancomycin = 0.0250 × BW/serum creatinine level for PCAs of <34 weeks and CLvancomycin = 0.0323 × BW/serum creatinine level for PCAs of ≥34 weeks, V vancomycin = 0.66 liters/kg, CLpanipenem = 0.0832 for PCAs of <33 weeks and CLpanipenem = 0.179 × BW for PCAs of ≥33 weeks, and V panipenem = 0.53 liters/kg. When the CL of each drug was evaluated by the nonlinear mixed-effect model, we found that the mean CL for subjects with PCAs of <33 to 34 weeks was significantly smaller than those with PCAs of ≥33 to 34 weeks, and CL showed an exponential increase with PCA. Many antibiotics are excreted by glomerular filtration, and maturation of glomerular filtration is the most important factor for estimation of antibiotic clearance. Clinicians should consider PCA, serum creatinine level, BW, and chemical features when determining the initial antibiotic dosing regimen for neonates.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Charlotte Castel ◽  
Cécile Sommen ◽  
Edouard Chatignoux ◽  
Yann Le Strat ◽  
Ahmadou Alioum

Abstract Since the discovery of the human immunodeficiency virus (HIV) 35 years ago, the epidemic is still ongoing in France. To monitor the dynamics of HIV transmission and assess the impact of prevention campaigns, the main indicator is the incidence. One method to estimate the HIV incidence is based on biomarker values at diagnosis and their dynamics over time. Estimating the HIV incidence from biomarkers first requires modeling their dynamics since infection using external longitudinal data. The objective of the work presented here is to estimate the joint dynamics of two biomarkers from the PRIMO cohort. We thus jointly modeled the dynamics of two biomarkers (TM and V3) using a multi-response nonlinear mixed-effect model. The parameters were estimated using Bayesian Hamiltonian Monte Carlo inference. This procedure was first applied to the real data of the PRIMO cohort. In a simulation study, we then evaluated the performance of the Bayesian procedure for estimating the parameters of multi-response nonlinear mixed-effect models.


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