Literature DB >> 17646421

Correlation of the MIC and dose/MIC ratio of fluconazole to the therapeutic response of patients with mucosal candidiasis and candidemia.

Juan L Rodríguez-Tudela1, Benito Almirante, Dolors Rodríguez-Pardo, Fernando Laguna, J Peter Donnelly, Johan W Mouton, Albert Pahissa, Manuel Cuenca-Estrella.   

Abstract

We report on the correlation of the outcomes for two cohorts of patients who had been treated for candidemia (126 episodes) or oropharyngeal candidiasis (110 episodes) with various doses of fluconazole and the MIC of fluconazole obtained by using the EUCAST standard for fermentative yeasts. Of 145 episodes caused by an isolate with a fluconazole MIC < or =2 mg/liter, 93.7% (136 of 145) responded to fluconazole treatment. The response for those infected with a strain with a MIC of 4 mg/liter was 66% but reached 100% when the dose was greater than 100 mg/day, whereas the response for those infected with strains with MICs > or =8 mg/liter was only 12%. Hence, a MIC of 2 mg/liter or 4 mg/liter was able to predict successful treatment. A cure rate of 93.9% (140 of 149) was achieved when the dose/MIC ratio was > or =100 but fell to 14.6% (16 of 109) when the ratio was less. The dose/MIC required to achieve a response rate of 50% (the 50% effective concentration) was 43.7 for the cohort of patients with oropharyngeal candidiasis. Classification and regression analysis indicated that a dose/MIC of 35.5 was the threshold for the prediction of cure or failure. However, an increase in exposure above this threshold further increased the probability of cure, and all patients were cured when the dose/MIC exceeded 100. Monte Carlo simulations showed a probability of target attainment of 99% at MICs < or =2 mg/liter and a pharmacodynamic target of a dose/MIC ratio of 100, which was equivalent to an unbound fraction of the fluconazole area under the curve versus the MIC of 79.

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Year:  2007        PMID: 17646421      PMCID: PMC2043257          DOI: 10.1128/AAC.00296-07

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


  28 in total

1.  A retrospective analysis using Monte Carlo simulation to evaluate recommended ceftazidime dosing regimens in healthy volunteers, patients with cystic fibrosis, and patients in the intensive care unit.

Authors:  Johan W Mouton; Nieko Punt; Alexander A Vinks
Journal:  Clin Ther       Date:  2005-06       Impact factor: 3.393

2.  Impact of antimicrobial dosing regimen on evolution of drug resistance in vivo: fluconazole and Candida albicans.

Authors:  D Andes; A Forrest; A Lepak; J Nett; K Marchillo; L Lincoln
Journal:  Antimicrob Agents Chemother       Date:  2006-07       Impact factor: 5.191

Review 3.  Interpretive breakpoints for fluconazole and Candida revisited: a blueprint for the future of antifungal susceptibility testing.

Authors:  M A Pfaller; D J Diekema; D J Sheehan
Journal:  Clin Microbiol Rev       Date:  2006-04       Impact factor: 26.132

4.  Influence of glucose supplementation and inoculum size on growth kinetics and antifungal susceptibility testing of Candida spp.

Authors:  M Cuenca-Estrella; T M Díaz-Guerra; E Mellado; J L Rodríguez-Tudela
Journal:  J Clin Microbiol       Date:  2001-02       Impact factor: 5.948

5.  Fluconazole MIC and the fluconazole dose/MIC ratio correlate with therapeutic response among patients with candidemia.

Authors:  Cornelius J Clancy; Victor L Yu; Arthur J Morris; David R Snydman; M Hong Nguyen
Journal:  Antimicrob Agents Chemother       Date:  2005-08       Impact factor: 5.191

6.  Characterization and quantitation of the pharmacodynamics of fluconazole in a neutropenic murine disseminated candidiasis infection model.

Authors:  D Andes; M van Ogtrop
Journal:  Antimicrob Agents Chemother       Date:  1999-09       Impact factor: 5.191

7.  Association of fluconazole area under the concentration-time curve/MIC and dose/MIC ratios with mortality in nonneutropenic patients with candidemia.

Authors:  Manjunath P Pai; Robin S Turpin; Kevin W Garey
Journal:  Antimicrob Agents Chemother       Date:  2006-11-13       Impact factor: 5.191

8.  Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint.

Authors:  G L Drusano; S L Preston; C Hardalo; R Hare; C Banfield; D Andes; O Vesga; W A Craig
Journal:  Antimicrob Agents Chemother       Date:  2001-01       Impact factor: 5.191

9.  Statistical analyses of correlation between fluconazole MICs for Candida spp. assessed by standard methods set forth by the European Committee on Antimicrobial Susceptibility Testing (E.Dis. 7.1) and CLSI (M27-A2).

Authors:  Juan Luis Rodriguez-Tudela; J Peter Donnelly; Michael A Pfaller; Erja Chryssantou; Peter Warn; David W Denning; Ana Espinel-Ingroff; Francesco Barchiesi; Manuel Cuenca-Estrella
Journal:  J Clin Microbiol       Date:  2006-11-08       Impact factor: 5.948

10.  Pharmacokinetic studies of fluconazole in rabbits characterizing doses which achieve peak levels in serum and area under the concentration-time curve values which mimic those of high-dose fluconazole in humans.

Authors:  A Louie; Q F Liu; G L Drusano; W Liu; M Mayers; E Anaissie; M H Miller
Journal:  Antimicrob Agents Chemother       Date:  1998-06       Impact factor: 5.191

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  42 in total

1.  In silico children and the glass mouse model: clinical trial simulations to identify and individualize optimal isoniazid doses in children with tuberculosis.

Authors:  Prakash M Jeena; William R Bishai; Jotam G Pasipanodya; Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2010-11-22       Impact factor: 5.191

2.  [Not Available].

Authors:  Jf Arnould; R Le Floch
Journal:  Ann Burns Fire Disasters       Date:  2015-03-31

3.  Model-Optimized Fluconazole Dose Selection for Critically Ill Patients Improves Early Pharmacodynamic Target Attainment without the Need for Therapeutic Drug Monitoring.

Authors:  Indy Sandaradura; Jessica Wojciechowski; Deborah J E Marriott; Richard O Day; Sophie Stocker; Stephanie E Reuter
Journal:  Antimicrob Agents Chemother       Date:  2021-02-17       Impact factor: 5.191

4.  Association of fluconazole pharmacodynamics with mortality in patients with candidemia.

Authors:  Maiken C Arendrup; Manuel Cuenca-Estrella; J Peter Donnelly; Cornelia Lass-Flörl; Juan L Rodriguez-Tudela
Journal:  Antimicrob Agents Chemother       Date:  2009-06       Impact factor: 5.191

5.  Data mining validation of fluconazole breakpoints established by the European Committee on Antimicrobial Susceptibility Testing.

Authors:  Isabel Cuesta; Concha Bielza; Pedro Larrañaga; Manuel Cuenca-Estrella; Fernando Laguna; Dolors Rodriguez-Pardo; Benito Almirante; Albert Pahissa; Juan L Rodríguez-Tudela
Journal:  Antimicrob Agents Chemother       Date:  2009-05-11       Impact factor: 5.191

6.  Rationale for reading fluconazole MICs at 24 hours rather than 48 hours when testing Candida spp. by the CLSI M27-A2 standard method.

Authors:  Luis Ostrosky-Zeichner; John H Rex; Michael A Pfaller; Daniel J Diekema; Barbara D Alexander; David Andes; Steven D Brown; Vishnu Chaturvedi; Mahmoud A Ghannoum; Cindy C Knapp; Daniel J Sheehan; Thomas J Walsh
Journal:  Antimicrob Agents Chemother       Date:  2008-09-22       Impact factor: 5.191

7.  Impact of new antifungal breakpoints on antifungal resistance in Candida species.

Authors:  Annette W Fothergill; Deanna A Sutton; Dora I McCarthy; Nathan P Wiederhold
Journal:  J Clin Microbiol       Date:  2014-01-08       Impact factor: 5.948

8.  Evaluation by data mining techniques of fluconazole breakpoints established by the Clinical and Laboratory Standards Institute (CLSI) and comparison with those of the European Committee on Antimicrobial Susceptibility Testing (EUCAST).

Authors:  Isabel Cuesta; Concha Bielza; Manuel Cuenca-Estrella; Pedro Larrañaga; Juan L Rodríguez-Tudela
Journal:  Antimicrob Agents Chemother       Date:  2010-02-01       Impact factor: 5.191

9.  Ten-year study of species distribution and antifungal susceptibilities of Candida bloodstream isolates at a Brazilian tertiary hospital.

Authors:  L X Bonfietti; M W Szeszs; M R Chang; M A Martins; S R B S Pukinskas; M O Nunes; G H Pereira; A M M Paniago; S U Purisco; M S C Melhem
Journal:  Mycopathologia       Date:  2012-07-21       Impact factor: 2.574

10.  Population pharmacokinetics of fluconazole in liver transplantation: implications for target attainment for infections with Candida albicans and non-albicans spp.

Authors:  Pier Giorgio Cojutti; Manuela Lugano; Elda Righi; Giorgio Della Rocca; Matteo Bassetti; William Hope; Federico Pea
Journal:  Eur J Clin Pharmacol       Date:  2018-07-21       Impact factor: 2.953

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