Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: "Antimicrobial breakpoint estimation accounting for variability in pharmacokinetics | Theoretical Biology and Medical Modelling BioMed Central Research Antimicrobial breakpoint estimation accounting for variability in pharmacokinetics Goue Denis Gohore Bi1 Jun Li2 3 and Fahima Nekka 1 2 4 Open Access Address 1Faculté de Pharmacie Université de Montreal Montreal Quebec Canada 2Centre de Recherche Mathématiques Université de Montreal Montreal Québec Canada 3Pharsight Montréal Québec Canada and 4Groupe de recherche universitaire sur le médicament GRUM Université de Montréal Montréal Québec Canada Email Goue Denis Gohore Bi - Jun Li - li@ Fahima Nekka - Corresponding author Published 26 June 2009 Received 13 January 2009 Theoretical Biology and Medical Modelling 2009 6 10 doi 1742-4682-6-10 Accepted 26 June 2009 This article is available from http content 6 l l0 2009 Bi et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Pharmacokinetic and pharmacodynamic PK PD indices are increasingly being used in the microbiological field to assess the efficacy of a dosing regimen. In contrast to methods using MIC PK PD-based methods reflect in vivo conditions and are more predictive of efficacy. Unfortunately they entail the use of one PK-derived value such as AUC or Cmax and may thus lead to biased efficiency information when the variability is large. The aim of the present work was to evaluate the efficacy of a treatment by adjusting classical breakpoint estimation methods to the situation of variable PK profiles. Methods and results We propose a logical generalisation of the usual AUC methods by introducing the concept of efficiency for a PK profile which involves the efficacy function as a weight. We .
