Influence of Renal Failure on Ciprofloxacin Pharmacokinetics in Rats

1998 ◽  
Vol 42 (2) ◽  
pp. 289-292 ◽  
Author(s):  
B. Nouaille-Degorce ◽  
C. Veau ◽  
S. Dautrey ◽  
M. Tod ◽  
D. Laouari ◽  
...  

ABSTRACT Ciprofloxacin pharmacokinetics have been shown to be modified in patients with renal failure (e.g., the intestinal secretion of ciprofloxacin is increased). This study investigated the influence of renal failure on the pharmacokinetics of ciprofloxacin following oral and parenteral administration to rats of a dose of 50 mg/kg of body weight. After parenteral administration, only renal clearance (CLR) was reduced in nephrectomized rats (5.3 ± 1.4 versus 17.8 ± 4.7 ml/min/kg, P< 0.01, nephrectomized versus control rats). However, nonrenal clearance was increased in nephrectomized rats (32 ± 4 versus 15 ± 5 ml/min/kg, P < 0.01, nephrectomized versus control rats), suggesting compensatory mechanisms for reduced renal function. After oral administration, apparent total clearance and CLR were reduced (P < 0.01) in nephrectomized rats (117 ± 25 and 6.8 ± 4.4 ml/min/kg, respectively) compared with the values for control rats (185 ± 9 and 22.6 ± 5.3 ml/min/kg, respectively) and the area under the concentration-time curve was higher (P < 0.01) for nephrectomized rats (436.3 ± 90.5 mg · min/liter) than for control rats (271.3 ± 14.3 mg · min/liter). Terminal elimination half lives in the two groups remained constant after oral and parenteral administration. These results suggest an increased bioavailability of ciprofloxacin in nephrectomized rats, which was confirmed by a nonlinear mixed-effect model.

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.


Sign in / Sign up

Export Citation Format

Share Document