Literature DB >> 33846133

Prospective Cohort Study of Micafungin Population Pharmacokinetic Analysis in Plasma and Peritoneal Fluid in Septic Patients with Intra-abdominal Infections.

Nicolas Garbez1,2,3, Litaty Mbatchi2,4, Steven C Wallis5, Laurent Muller1,3, Jeffrey Lipman3,5,6, Jason A Roberts3,5,6,7,8, Jean-Yves Lefrant1,3, Claire Roger1,3.   

Abstract

The objective of this study was to describe the pharmacokinetics (PK) of micafungin in plasma and peritoneal fluid in septic patients with intra-abdominal infections. Twelve patients with secondary peritonitis in septic shock receiving 100 mg micafungin once daily were included. Total micafungin plasma and peritoneal fluid were subjected to a population pharmacokinetic analysis using Pmetrics. Monte Carlo simulations were performed considering the total area under the curve from 0 to 24 h (AUC0-24)/MIC ratios in plasma. Micafungin concentrations in both plasma and the peritoneal exudate were best described by a three-compartmental PK model with the fat-free mass (FFM) as a covariate of clearance (CL) and the volume of the central compartment (Vc). The mean parameter estimates (standard deviations [SD]) were 1.18 (0.40) liters/h for CL and 12.85 (4.78) liters for Vc. The mean peritoneal exudate/plasma ratios (SD) of micafungin were 25% (5%) on day 1 and 40% (8%) between days 3 and 5. Dosing simulations supported the use of standard 100-mg daily dosing for Candida albicans (FFM, <60 kg), C. glabrata (FFM, <50 kg), and C. tropicalis (FFM, <30 kg) on the second day of therapy. There is a moderate penetration of micafungin into the peritoneal cavity (25 to 40%). For empirical treatment, a dose escalation of at least a loading dose of 150 mg depending on the FFM of patients and the Candida species is suggested to be effective from the first day of therapy.

Entities:  

Keywords:  Monte Carlo simulations; intensive care unit; micafungin; peritoneal fluid; pharmacokinetics; secondary peritonitis; septic shock

Mesh:

Substances:

Year:  2021        PMID: 33846133      PMCID: PMC8218641          DOI: 10.1128/AAC.02307-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  41 in total

1.  Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R.

Authors:  Michael N Neely; Michael G van Guilder; Walter M Yamada; Alan Schumitzky; Roger W Jelliffe
Journal:  Ther Drug Monit       Date:  2012-08       Impact factor: 3.681

2.  Septic shock attributed to Candida infection: importance of empiric therapy and source control.

Authors:  Marin Kollef; Scott Micek; Nicholas Hampton; Joshua A Doherty; Anand Kumar
Journal:  Clin Infect Dis       Date:  2012-03-15       Impact factor: 9.079

3.  In vivo comparison of the pharmacodynamic targets for echinocandin drugs against Candida species.

Authors:  D Andes; D J Diekema; M A Pfaller; J Bohrmuller; K Marchillo; A Lepak
Journal:  Antimicrob Agents Chemother       Date:  2010-04-12       Impact factor: 5.191

Review 4.  French legal approach to clinical research.

Authors:  Elisabeth Toulouse; Christophe Masseguin; Brigitte Lafont; Gordon McGurk; Anna Harbonn; Jason A Roberts; Sophie Granier; Arnaud Dupeyron; Jean Etienne Bazin
Journal:  Anaesth Crit Care Pain Med       Date:  2018-10-25       Impact factor: 4.132

Review 5.  Using pharmacokinetics and pharmacodynamics to optimise dosing of antifungal agents in critically ill patients: a systematic review.

Authors:  Mahipal Sinnollareddy; Sandra L Peake; Michael S Roberts; Jeffrey Lipman; Jason A Roberts
Journal:  Int J Antimicrob Agents       Date:  2011-09-16       Impact factor: 5.283

6.  International study of the prevalence and outcomes of infection in intensive care units.

Authors:  Jean-Louis Vincent; Jordi Rello; John Marshall; Eliezer Silva; Antonio Anzueto; Claude D Martin; Rui Moreno; Jeffrey Lipman; Charles Gomersall; Yasser Sakr; Konrad Reinhart
Journal:  JAMA       Date:  2009-12-02       Impact factor: 56.272

7.  Comparison of Killing Activity of Micafungin Against Six Candida Species Isolated from Peritoneal and Pleural Cavities in RPMI-1640, 10 and 30% Serum.

Authors:  Zoltán Tóth; Tamás Kardos; Renátó Kovács; Gábor Kardos; Fruzsina Nagy; Eszter Prépost; Zsolt Barta; István Takacs; László Majoros
Journal:  Mycopathologia       Date:  2018-10-31       Impact factor: 2.574

8.  Diagnosis and management of complicated intra-abdominal infection in adults and children: guidelines by the Surgical Infection Society and the Infectious Diseases Society of America.

Authors:  Joseph S Solomkin; John E Mazuski; John S Bradley; Keith A Rodvold; Ellie J C Goldstein; Ellen J Baron; Patrick J O'Neill; Anthony W Chow; E Patchen Dellinger; Soumitra R Eachempati; Sherwood Gorbach; Mary Hilfiker; Addison K May; Avery B Nathens; Robert G Sawyer; John G Bartlett
Journal:  Clin Infect Dis       Date:  2010-01-15       Impact factor: 9.079

9.  Pharmacokinetic variability and exposures of fluconazole, anidulafungin, and caspofungin in intensive care unit patients: Data from multinational Defining Antibiotic Levels in Intensive care unit (DALI) patients Study.

Authors:  Mahipal G Sinnollareddy; Jason A Roberts; Jeffrey Lipman; Murat Akova; Matteo Bassetti; Jan J De Waele; Kirsi-Maija Kaukonen; Despoina Koulenti; Claude Martin; Philippe Montravers; Jordi Rello; Andrew Rhodes; Therese Starr; Steven C Wallis; George Dimopoulos
Journal:  Crit Care       Date:  2015-02-04       Impact factor: 9.097

10.  Twenty Years of the SENTRY Antifungal Surveillance Program: Results for Candida Species From 1997-2016.

Authors:  Michael A Pfaller; Daniel J Diekema; John D Turnidge; Mariana Castanheira; Ronald N Jones
Journal:  Open Forum Infect Dis       Date:  2019-03-15       Impact factor: 3.835

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.