Pharmacokinetic and Pharmacodynamic Principles of Anti-infective Dosing

An understanding of the pharmacokinetic (PK) and pharmacodynamic (PD) principles that determine response to antimicrobial therapy can provide the clinician with better-informed dosing regimens. Factors influential on antibiotic disposition and clinical outcome are presented, with a focus on the primary site of infection. Techniques to better understand antibiotic PK and optimize PD are acknowledged

Association between oral sildenafil dosing, predicted exposure, and systemic hypotension in hospitalised infants

Abstract Background The relationship between sildenafil dosing, exposure, and systemic hypotension in infants is incompletely understood. Objectives The aim of this study was to characterise the relationship between predicted sildenafil exposure and hypotension in hospitalised infants. Methods We extracted information on sildenafil dosing and clinical characteristics from electronic health records of 348 neonatal ICUs from 1997 to 2013, and we predicted drug exposure using a population pharmacokinetic model. Results We identified 232 infants receiving sildenafil at a median dose of 3.2 mg/kg/day (2.0, 6.0). The median steady-state area under the concentration–time curve over 24 hours (AUC 24,SS ) and maximum concentration of sildenafil (C max,SS,SIL ) were 712 ng×hour/ml (401, 1561) and 129 ng/ml (69, 293), respectively. Systemic hypotension occurred in 9% of the cohort. In multivariable analysis, neither dosing nor exposure were associated with systemic hypotension: odds ratio=0.96 (95% confidence interval: 0.81, 1.14) for sildenafil dose; 0.87 (0.59, 1.28) for AUC 24,SS ; 1.19 (0.78, 1.82) for C max,SS,SIL . Conclusions We found no association between sildenafil dosing or exposure with systemic hypotension. Continued assessment of sildenafil’s safety profile in infants is warranted

Aerosolized polymyxin B for treatment of respiratory tract infections:Determination of pharmacokinetic-pharmacodynamic indices for aerosolized polymyxin B against Pseudomonas aeruginosa in a mouse lung infection model

ABSTRACT Pulmonary administration of polymyxins is increasingly used for the treatment of respiratory tract infections caused by multidrug-resistant Gram-negative bacteria, such as those in patients with cystic fibrosis. However, there is a lack of pharmacokinetics (PK), pharmacodynamics (PD), and toxicity data of aerosolized polymyxin B to inform rational dosage selection. The PK and PD of polymyxin B following pulmonary and intravenous dosing were examined in neutropenic infected mice, and the data were analyzed by a population PK model. Dose fractionation study was performed for total daily doses between 2.06 and 24.8 mg base/kg of weight against Pseudomonas aeruginosa ATCC 27853, PAO1, and FADDI-PA022 (MIC of 1 mg/liter for all three strains). Histopathological examination of the lung was undertaken at 24 h posttreatment in both healthy and neutropenic infected mice. A two-compartment PK model was required for both epithelial lining fluid (ELF) and plasma drug exposure. The model consisted of central and peripheral compartments and was described by bidirectional first-order distribution clearance. The ratio of the area under the curve to the MIC (AUC/MIC) was the most predictive PK/PD index to describe the antimicrobial efficacy of aerosolized polymyxin B in treating lung infections in mice ( R 2 of 0.70 to 0.88 for ELF and 0.70 to 0.87 for plasma). The AUC/MIC targets associated with bacteriostasis against the three P. aeruginosa strains were 1,326 to 1,506 in ELF and 3.14 to 4.03 in plasma. Histopathological results showed that polymyxin B aerosols significantly reduced lung inflammation and preserved lung epithelial integrity. This study highlights the advantageous PK/PD characteristics of pulmonary delivery of polymyxin B over intravenous administration in achieving high drug exposure in ELF

Elucidating the pharmacokinetics/pharmacodynamics of aerosolized colistin against multidrug-resistant acinetobacter baumannii and klebsiella pneumoniae in a mouse lung infection model

The pharmacokinetics/pharmacodynamics (PK/PD) of aerosolized colistin was investigated against Acinetobacter baumannii and Klebsiella pneumoniae over 24 h in a neutropenic mouse lung infection model. Dose fractionation studies were performed over 2.64 to 23.8 mg/kg/day, and the data were fitted to a sigmoid inhibitory model. The area under the concentration-time curve over 24 h in the steady state divided by the MIC (AUC/MIC) in the epithelial lining fluid was the most predictive PK/PD index for aerosolized colistin against both pathogens. Our study provides important pharmacological information for optimizing aerosolized colistin.Yu-Wei Lin, Qi Tony Zhou, Mei-Ling Han, Ke Chen, Nikolas J. Onufrak, Jiping Wang, John D. Turnidge, Benjamin P. Howden, Alan Forrest, Hak-Kim Chan, Jian Li

Pharmacokinetic and Pharmacodynamic Principles of Anti-infective Dosing

PURPOSE: An understanding of the pharmacokinetic (PK) and pharmacodynamic (PD) principles that determine response to antimicrobial therapy can provide the clinician with better-informed dosing regimens. Factors influential on antibiotic disposition and clinical outcome are presented, with a focus on the primary site of infection. Techniques to better understand antibiotic PK and optimize PD are acknowledged. METHODS: PubMed (inception – April 2016) was reviewed for relevant publications assessing antimicrobial exposures within different anatomical locations and clinical outcomes for various infection sites. FINDINGS: A limited literature base indicates variable penetration of antibiotics to different target sites of infection, with drug solubility and extent of protein binding providing significant PK influences in addition to the major clearing pathway of the agent. PD indices derived from in vitro and animal models determine the optimal magnitude and frequency of dosing regimens for patients. PK/PD modeling and simulation has been shown an efficient means of assessing these PD endpoints against a variety of PK determinants, clarifying the unique effects of infection site and patient characteristics to inform the adequacy of a given antibiotic regimen. IMPLICATIONS: Appreciation of the PK properties of an antibiotic and its PD measure of efficacy can maximize the utility of these life-saving drugs. Unfortunately, clinical data remains limited for a number of infection site-antibiotic exposure relationships. Modeling and simulation can bridge preclinical and patient data for the prescription of optimal antibiotic dosing regimens, consistent with the tenets of personalized medicine