Skip to main content
  • ASM
    • Antimicrobial Agents and Chemotherapy
    • Applied and Environmental Microbiology
    • Clinical Microbiology Reviews
    • Clinical and Vaccine Immunology
    • EcoSal Plus
    • Eukaryotic Cell
    • Infection and Immunity
    • Journal of Bacteriology
    • Journal of Clinical Microbiology
    • Journal of Microbiology & Biology Education
    • Journal of Virology
    • mBio
    • Microbiology and Molecular Biology Reviews
    • Microbiology Resource Announcements
    • Microbiology Spectrum
    • Molecular and Cellular Biology
    • mSphere
    • mSystems
  • Log in
  • My alerts
  • My Cart

Main menu

  • Home
  • Articles
    • Current Issue
    • Accepted Manuscripts
    • COVID-19 Special Collection
    • Archive
    • Minireviews
  • For Authors
    • Submit a Manuscript
    • Scope
    • Editorial Policy
    • Submission, Review, & Publication Processes
    • Organization and Format
    • Errata, Author Corrections, Retractions
    • Illustrations and Tables
    • Nomenclature
    • Abbreviations and Conventions
    • Publication Fees
    • Ethics Resources and Policies
  • About the Journal
    • About AAC
    • Editor in Chief
    • Editorial Board
    • For Reviewers
    • For the Media
    • For Librarians
    • For Advertisers
    • Alerts
    • AAC Podcast
    • RSS
    • FAQ
  • Subscribe
    • Members
    • Institutions
  • ASM
    • Antimicrobial Agents and Chemotherapy
    • Applied and Environmental Microbiology
    • Clinical Microbiology Reviews
    • Clinical and Vaccine Immunology
    • EcoSal Plus
    • Eukaryotic Cell
    • Infection and Immunity
    • Journal of Bacteriology
    • Journal of Clinical Microbiology
    • Journal of Microbiology & Biology Education
    • Journal of Virology
    • mBio
    • Microbiology and Molecular Biology Reviews
    • Microbiology Resource Announcements
    • Microbiology Spectrum
    • Molecular and Cellular Biology
    • mSphere
    • mSystems

User menu

  • Log in
  • My alerts
  • My Cart

Search

  • Advanced search
Antimicrobial Agents and Chemotherapy
publisher-logosite-logo

Advanced Search

  • Home
  • Articles
    • Current Issue
    • Accepted Manuscripts
    • COVID-19 Special Collection
    • Archive
    • Minireviews
  • For Authors
    • Submit a Manuscript
    • Scope
    • Editorial Policy
    • Submission, Review, & Publication Processes
    • Organization and Format
    • Errata, Author Corrections, Retractions
    • Illustrations and Tables
    • Nomenclature
    • Abbreviations and Conventions
    • Publication Fees
    • Ethics Resources and Policies
  • About the Journal
    • About AAC
    • Editor in Chief
    • Editorial Board
    • For Reviewers
    • For the Media
    • For Librarians
    • For Advertisers
    • Alerts
    • AAC Podcast
    • RSS
    • FAQ
  • Subscribe
    • Members
    • Institutions
Editor's Pick Susceptibility

Toward Harmonization of Voriconazole CLSI and EUCAST Breakpoints for Candida albicans Using a Validated In Vitro Pharmacokinetic/Pharmacodynamic Model

Maria-Ioanna Beredaki, Panagiota-Christina Georgiou, Maria Siopi, Lamprini Kanioura, David Andes, Maiken Cavling Arendrup, Johan W. Mouton, Joseph Meletiadis
Maria-Ioanna Beredaki
aClinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Panagiota-Christina Georgiou
aClinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maria Siopi
aClinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lamprini Kanioura
bDepartment of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Andes
cDepartment of Medicine and Microbiology and Immunology, University of Wisconsin, Madison, Wisconsin, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maiken Cavling Arendrup
dUnit of Mycology, Statens Serum Institut, Copenhagen, Denmark
eDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
fDepartment of Clinical Microbiology, University of Copenhagen, Copenhagen, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Maiken Cavling Arendrup
Johan W. Mouton
bDepartment of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph Meletiadis
aClinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
bDepartment of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Rotterdam, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1128/AAC.00170-20
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

ABSTRACT

CLSI and EUCAST susceptibility breakpoints for voriconazole and Candida albicans differ by one dilution (≤0.125 and ≤0.06 mg/liter, respectively) whereas the epidemiological cutoff values for EUCAST (ECOFF) and CLSI (ECV) are the same (0.03 mg/liter). We therefore determined the pharmacokinetic/pharmacodynamic (PK/PD) breakpoints of voriconazole against C. albicans for both methodologies with an in vitro PK/PD model, which was validated using existing animal PK/PD data. Four clinical wild-type and non-wild-type C. albicans isolates (voriconazole MICs, 0.008 to 0.125 mg/liter) were tested in an in vitro PK/PD model. For validation purposes, mouse PK were simulated and in vitro PD were compared with in vivo outcomes. Human PK were simulated, and the exposure-effect relationship area under the concentration-time curve for the free, unbound fraction of a drug from 0 to 24 h (fAUC0–24)/MIC was described for EUCAST and CLSI 24/48-h methods. PK/PD breakpoints were determined using the fAUC0–24/MIC associated with half-maximal activity (EI50) and Monte Carlo simulation analysis. The in vitro 24-h PD EI50 values of voriconazole against C. albicans were 2.5 to 5 (1.5 to 17) fAUC/MIC. However, the 72-h PD were higher at 133 (51 to 347) fAUC/MIC for EUCAST and 94 (35 to 252) fAUC/MIC for CLSI. The mean (95% confidence interval) probability of target attainment (PTA) was 100% (95 to 100%), 97% (72 to 100%), 83% (35 to 99%), and 49% (8 to 91%) for EUCAST and 100% (97 to 100%), 99% (85 to 100%), 91% (52 to 100%), and 68% (17 to 96%) for CLSI for MICs of 0.03, 0.06, 0.125, and 0.25 mg/liter, respectively. Significantly, >95% PTA values were found for EUCAST/CLSI MICs of ≤0.03 mg/liter. For MICs of 0.06 to 0.125 mg/liter, trough levels 1 to 4 mg/liter would be required to attain the PK/PD target. A PK/PD breakpoint of C. albicans voriconazole at the ECOFF/ECV of 0.03 mg/liter was determined for both the EUCAST and CLSI methods, indicating the need for breakpoint harmonization for the reference methodologies.

INTRODUCTION

Bloodstream infections caused by Candida species are an important public health problem and are associated with significant morbidity and mortality, increased lengths of hospital stay, and significant economic burden (1, 2). The emergence of azole resistance among Candida spp. is of particular concern, especially in cases with prior exposure to fluconazole (3). Thus, it becomes evident that antimicrobial susceptibility testing for clinical management of these infections as well as antimicrobial resistance surveillance becomes of great importance.

Both EUCAST and CLSI have standardized their methodologies for antifungal susceptibility testing with similar testing conditions (4). A great effort was made in order to harmonize the clinical breakpoints for the two methods, particularly for antifungal drugs for which similar MIC distributions are generated (5). The use of 24-h MICs and species-specific breakpoints by the CLSI had led to harmonization of fluconazole clinical breakpoints between the two reference methodologies (5). The similar voriconazole MIC distribution (determined with 24 h of incubation) and published epidemiological cutoff values by CLSI and EUCAST of ≤0.03 mg/liter for Candida albicans (6, 7) confirms the comparability of the two methods for voriconazole susceptibility testing. EUCAST has recently revised the voriconazole epidemiological cutoff (ECOFF) based on newer larger data sets from 0.125 mg/liter to 0.03 mg/liter (6). In order to account for the lower ECOFF compared to those of previous susceptibility breakpoints, EUCAST in 2017 has decreased voriconazole breakpoints by one 2-fold dilution from susceptible (S) ≤ 0.125/resistant (R) > 0.5 mg/liter to S ≤ 0.06/R > 0.25 mg/liter (6), whereas CLSI breakpoints are S ≤ 0.125/R > 0.5 mg/liter (8). This may lead to artificially differential resistance rates despite the two methods generating similar MICs (9). More importantly, both breakpoints are higher than corresponding EUCAST ECOFFs and CLSI epidemiological cutoff values (ECVs), indicating that non-wild-type isolates can be treated with voriconazole.

We therefore determined pharmacokinetic/pharmacodynamic (PK/PD) breakpoints for voriconazole and C. albicans for EUCAST and CLSI using an in vitro PK/PD model where human voriconazole pharmacokinetics were simulated (10) after the model was validated with C. albicans isolates with increasing voriconazole MICs previously used in animal PK/PD studies (11).

RESULTS

MICs.The MICs of all strains with EUCAST after 24 h and CLSI after 24 h (CLSI24) and 48 h (CLSI48) are shown in Table 1. Most MICs (except 1 C. albicans strain) among methods were within one 2-fold dilution, with higher absolute agreement found between EUCAST and CLSI24 MICs (64%) than CLSI48 MICs (46%) since all discrepant CLSI48 MICs were one 2-fold dilution higher than EUCAST MICs.

View this table:
  • View inline
  • View popup
  • Download powerpoint
TABLE 1

MICs for EUCAST and CLSI for Candida isolates used in the present study

Simulation of the mouse model.(i) Pharmacokinetics. Mouse pharmacokinetics of 10, 20 and 40 mg of drug/kg of body weight/day voriconazole dosages were well simulated in the in vitro model with attained maximum concentration (Cmax) values (mean ± standard deviation [SD]) of 0.40 ± 0.11, 1.56 ± 0.31, and 6.74 ± 1.18 mg/liter and area under the concentration-time curve values from 0 to 24 h (AUC0-24) of 1.1 ± 0.33, 5.0 ± 0.95, and 25.6 ± 4.4 mg · h/liter, respectively, and a mean ± SD half-life (t1/2) of 2.78 ± 0.94 h.

(ii) Pharmacodynamics. In drug free controls, fungal load increased from 3.79 ± 0.10 log10 CFU/ml at t = 0 h to 7.25 ± 0.59 log10 CFU/ml at t = 24 h (as observed also in animals) and 7.76 ± 0.6 log10 CFU/ml at t = 48 h. The maximum reduction of fungal load in drug-treated tubes compared to drug-free controls at 24 and 48 h was ∼3 log10 CFU/ml corresponding to a 1 log10 CFU/ml increase from the initial inoculum as previously observed also in animals (11) (Fig. 1). No killing was observed compared to the fungal burden at the start of therapy at any voriconazole simulated dosages as in animals (11). The in vitro exposure-effect relationship for the C. albicans isolates followed a sigmoid curve (R2 = 0.88 to 0.91) for both the 24-h and 48-h pharmacodynamics with EUCAST and CLSI MICs (Fig. 2).

FIG 1
  • Open in new tab
  • Download powerpoint
FIG 1

Time-kill curves in the in vitro PK/PD model simulating animal every 24 h (q24h) oral dosing regimens of voriconazole against C. albicans isolates targeting different fCmax values with t1/2 values of 2 to 4 h. Error bars represent SD.

FIG 2
  • Open in new tab
  • Download powerpoint
FIG 2

In vitro PK/PD relationship of voriconazole against C. albicans as a function of change in log10CFU/ml from initial fungal load and fAUC0-24/MIC simulating animal PKs.

(iii) Comparison between in vitro and in vivo pharmacodynamics. The mean (95% confidence interval [CI]) CLSI half-maximal activity (EI50) in the in vitro model was 2.8 (1.5 to 5.5) area under the concentration-time curve for the free, unbound fraction of voriconazole from 0 to 24 h (fAUC0-24)/MIC, whereas the in vivo EΙ50s found previously in animals for the same C. albicans isolates were 13.3 to 25.3 fAUC0-24/MIC (11). The mean (95% CI) EI50 using EUCAST MICs was 2.5 (1.5 to 4.5) fAUC0-24/MIC. Due to growth of C. albicans after 24 h, the 48 h EI50 was higher than the 24 h EI50, reaching a mean (95% CI) of 40 (7.5 to 211) fAUC0-24/MIC for CLSI and 40 (9 to 186) fAUC0-24/MIC for EUCAST (Fig. 2).

Pharmacokinetics.Steady-state human plasma pharmacokinetics of twice daily voriconazole dosages were well-simulated in the in vitro PK/PD model. The mean ± SD t1/2 was 7.9 ± 1.6 h with free-drug concentration (fCmax) values of 20.05 ± 0.06, 5.29 ± 0.04, 2.06 ± 0.15, and 1.35 ± 0.12 mg/liter and fAUC0-24 values of 342.89 ± 9.48, 88.31 ± 3.56, 42.41 ± 2.63, and 27.17 ± 2.37 mg · h/liter, respectively (Fig. 3).

FIG 3
  • Open in new tab
  • Download powerpoint
FIG 3

Representative time-concentration profiles of simulated every 12 h (q12h) i.v. dosing regimens of voriconazole in the in vitro PK/PD model with target Cmax values of 0.8, 1.75, 7, and 28 mg/liter and obtained Cmin values of 0.28, 0.67, 1.04, and 1.75 mg/liter, respectively, and a t1/2 of 6 h. Data represent drug levels in the internal compartment of the in vitro model (solid lines) and the respective target values (broken lines).

Pharmacodynamics.For C. albicans, the fungal load increased from 4.12 ± 0.24 log10 CFU/ml at t = 0 h to 8.37 ± 0.26 log10 CFU/ml at t = 72 h in drug-free controls (Fig. 4). Over the range of voriconazole doses studied, no killing of organisms was observed for any of the C. albicans isolates compared to initial inoculum. The maximum effect corresponded to 1 log10 CFU/ml increase from initial inoculum. The in vitro exposure-effect relationship for the C. albicans isolates followed a sigmoid curve (R2 = 0.86 to 0.89). Curve fits of EUCAST- and CLSI24/48-derived methods were comparable with mean (95% CI) EI50s of 133 (51 to 347) and 94 (35 to 252)/96 (44 to 208) fAUC0–24/MIC, respectively (Fig. 5). Notably, the EI50 increased over time for all three methods (EUCAST, CLSI24, CLSI48) from 3.6 to 5 fAUC0-24/MIC after 24 h to 37 to 53 fAUC0-24/MIC after 48 h and 94 to 133 fAUC0-24/MIC after 72 h for CLSI and EUCAST, respectively (Fig. 6), similar to the increase of EI50 over time found when mouse serum pharmacokinetics were simulated (see above).

FIG 4
  • Open in new tab
  • Download powerpoint
FIG 4

Time-kill curves in the in vitro PK/PD model simulating human q12h i.v. dosing regimens of voriconazole against C. albicans isolates with fCmax values of 0.008, 0.8, 1.75, 7, and 28 mg/liter and a t1/2 of 6 h. Error bars represent SD.

FIG 5
  • Open in new tab
  • Download powerpoint
FIG 5

In vitro PK/PD relationship of voriconazole against C. albicans as a function of 72-h change in log10 CFU/ml from initial fungal load (horizontal dotted line) and fAUC0–24/MIC simulating human PKs.

FIG 6
  • Open in new tab
  • Download powerpoint
FIG 6

Target attainment rates for 1,000 patients receiving standard voriconazole dosage of 4 mg/kg i.v. twice daily for which the AUCs were simulated with Monte Carlo for different EUCAST and CLSI 24-h MICs. Horizontal line represents the 95% PTA.

Monte Carlo analysis.The simulated patients had a mean ± SD fAUC0–24 of 41.94 ± 35.41 mg · h/liter, which is very close to previously published voriconazole exposures (12). The mean (95% CI) percent probabilities of target attainment (PTAs) for EUCAST PK/PD target 133 (51 to 347) fAUC0–24/MIC were 100 (95 to 100), 97 (72 to 100), 83 (35 to 99), 49 (8 to 91), 16 (1 to 6), and 2 (0 to 27) for EUCAST MICs of 0.03, 0.06, 0.125, 0.25, 0.5, and 1 mg/liter, respectively. Similar analysis for CLSI24 PK/PD target 94 (35 to 252) fAUC0–24/MIC, the mean (95% CI) percent probability of target attainment (PTA) was 100 (97 to 100), 99 (85 to 100), 91 (52 to 100), 68 (17 to 96), 31 (3 to 81), and 6 (0 to 46) for CLSI MICs of 0.03, 0.06, 0.125, 0.25, 0.5, and 1 mg/liter, respectively (Fig. 6). The PTAs were significantly higher than 95% and 50% for EUCAST/CLSI MICs of ≤0.03 and 0.06 to 0.125 mg/liter, respectively.

Trough levels and MICs.The voriconazole trough levels in human serum required to attain the corresponding PK/PD targets for C. albicans isolates with increasing EUCAST and CLSI24 MICs are shown in Fig. 7. The corresponding PK/PD targets could be attained for C. albicans isolates with EUCAST/CLSI24 MICs of ≤0.03 mg/liter, whereas for isolates with MICs of 0.06 to 0.125 mg/liter, upper 95% CI trough levels of 1 to 4 mg/liter may be required. In contrast, isolates with higher MICs will require trough levels of ≥4 mg/liter, which is difficult to achieve and usually associated with increased risk of toxicity (13).

FIG 7
  • Open in new tab
  • Download powerpoint
FIG 7

Correlation between voriconazole trough concentrations in human serum and EUCAST/CLSI24 MICs of C. albicans in order to attain the corresponding PK/PD targets of 133 (51 to 347) for EUCAST and 94 (35 to 252) for CLSI24, respectively. Median and interquartile range trough levels are shown for 250 patients treated with different doses of voriconazole (18).

DISCUSSION

An in vitro PK/PD model was used to determine PK/PD breakpoints for voriconazole and C. albicans for EUCAST and CLSI reference methods. The model was first validated using the same C. albicans isolates previously used in an animal neutropenic model of disseminated candidiasis simulating animal voriconazole pharmacokinetics. Simulating human pharmacokinetics, similar 24-h PK/PD indices were found, but higher 48-h and 72-h PK/PD indices were determined for EUCAST and CLSI (133 [51 to 347] and 94 [35 to 252] fAUC0–24/MIC, respectively). Based on the latter PK/PD indices, the following PK/PD breakpoints were determined for EUCAST and CLSI: ≤0.03, 0.06 to 0.125, and ≥0.25 mg/liter, suggesting that lowering the current CLSI and EUCAST S breakpoints by two and one 2-fold dilution would be appropriate in order to (i) attain high PTAs for wild-type isolates (MIC ≤ 0.03 mg/liter), (ii) classify non-wild-type isolates with low MICs (0.06 to 0.125 mg/liter) as intermediate, i.e., the PK/PD targets can be achieved only if sufficient exposure is attained, (iii) avoid using voriconazole for non-wild-type isolates with the higher MICs (≥0.25 mg/liter) since the PK/PD target for those isolates can be attained with confidence with trough levels of ≥4 mg/liter associated with high toxicity, and (iv) harmonize voriconazole breakpoints between the two methodologies as previously done for fluconazole.

In line with previous in vitro PK/PD studies, voriconazole demonstrated concentration-independent pharmacodynamics, arresting growth without any killing of C. albicans even at very high concentrations (14). Lack of killing was also observed in a neutropenic mouse model of experimental disseminated candidiasis with a maximum organisms’ reduction from untreated animals after 24 h of up to 3 log10 CFU/kidney (11), which corresponds to a 1 log10 CFU/kidney increase from initial inoculum as in the present study. Animal PK/PD studies indicated a strong relationship for AUC/MIC with an R2 of 82%, similar to the present study. The 24-h PK/PD target associated with 50% of maximal activity (EI50), corresponding to an ∼2 log10 increase of fungal load from initial inoculum (or decrease from untreated animals at 24 h), was 13.3 to 25.3 fAUC/MIC for CLSI, taking into account the 78% protein binding in mouse serum (11). The in vitro mean (95% CI) 24-h EI50 found in the present study was slightly lower at 2.5 to 5 (1.5 to 17) fAUC/MIC, possibly related to an absence of host-related factors. Of note, drug toxicity (observed at >80 mg/kg) in mice could affect in vivo pharmacodynamics (11). However, the 24-h period was not enough time to describe the pharmacodynamics of voriconazole because maximum growth in drug-free control was not achieved and regrowth occurred in drug-treated tubes after 24 h. Consequently, the PK/PD indices associated with 50% efficacy at 48 and 72 h increased 4 times compared to those at 24 h. Candida regrowth after 24 h of drug exposure has also been previously observed in an in vitro PK/PD model with fluconazole (even at high concentrations) and caspofungin (at concentrations close to MIC) (15).

The animal 24-h PK/PD target of 25 fAUC/MIC results in high PTAs in Monte Carlo analysis for isolates with MICs up to 1 mg/liter, which is 8-fold higher than the current susceptibility CLSI breakpoint for C. albicans. In addition, clinical PK/PD studies have shown that voriconazole fAUC/MIC of <25 was associated with clinical success rates of 52 to 60%, while for patients with an estimated free-drug AUC/MIC of ≥32, the success rate has reached 80% (16, 17). Based on the 72-h PK/PD target of 133/94 fAUC24/MIC found in the in vitro model for EUCAST/CLSI, a breakpoint of 0.03 mg/liter was determined for both reference methods. The breakpoint of 0.03 mg/liter is exactly at the corresponding ECOFF/ECV (0.03 mg/liter). Isolates with EUCAST/CLSI MICs of 0.06 to 0.125 mg/liter could be classified as I (susceptible, increased exposure) (EUCAST terminology)/SDD (susceptible-dose dependent) (CLSI terminology), whereas isolates with MICs of ≥0.25 mg/liter could be classified as resistant. Moreover, associating trough levels with MICs for attaining the PK/PD targets, we found that C. albicans isolates with EUCAST/CLSI MICs of 0.06 to 0.125 mg/liter would require trough levels of 1 to 4 mg/liter. Of note, however, 26% of samples in a real-world clinical setting were below 1 mg/liter in a recent study (18), suggesting that such an approach is only feasible if rapid therapeutic drug monitoring service is available and that a significant proportion of the patients will depend on dose escalation before voriconazole monotherapy is appropriate. In contrast, isolates with higher MICs would require trough levels of ≥4 mg/liter, which are not feasible to attain and at the same time associated with increased risk of toxicity. In 12 patients with fluconazole refractory candidiasis treated with voriconazole, isolates with CLSI MICs up to 0.39 mg/liter were treated successfully with voriconazole serum trough levels of 2.12 to 4.8 mg/liter (19, 20). This further supports the proposed susceptibility breakpoints and target values from therapeutic drug monitoring.

The ∼100 fAUC/MIC is similar to the PK/PD target associated with treatment success in invasive candidiasis for fluconazole (21, 22) and provides PTAs that corroborate current clinical susceptibility breakpoints. In addition, the clinical response of C. albicans infections to voriconazole therapy has been reported to be 73% for isolates in which the MIC is ≤0.008 mg/liter in a large data set (79 patients) (23), whereas the number of patients infected with isolates with higher MICs were too low (<3 patients per MIC) for drawing any conclusions on voriconazole efficacy against those isolates. A recent multicenter study showed that Etest and EUCAST generate similar MICs for voriconazole (mode/ECOFF, 0.008/0.03 mg/liter) although with wide distributions (6, 24). Moreover, in a clinical study with 44 patients with invasive fungal diseases, most with candidiasis (n = 31) by C. albicans (n = 17) where MICs were determined with Etest, the mean trough/MIC ratio associated with clinical efficacy was 11.33, which is close to the trough/MIC ratio of 8 found in the present study (25). These findings suggest that the suggested breakpoints are applicable for Etest endpoint interpretation provided the performance in the laboratory is confirmed by modal MICs for C. albicans of 0.008 mg/liter. Mutations in ERG11 and overexpression of multidrug resistance (MDR)/Candida drug resistance (CDR) pumps were found in Candida glabrata isolates with MICs of ≥0.06 mg/liter (23, 26). Introduction of ERG11 alleles in azole-susceptible C. albicans isolates indicated a correlation between fluconazole MICs of 0.25, 2, and 4 mg/liter with voriconazole MICs of 0.008, 0.06, and 0.125 mg/liter, further supporting the susceptibility breakpoint of 0.03 for voriconazole considering the fluconazole susceptibility breakpoint of 2 mg/liter and the higher pharmacokinetic variability of voriconazole (27). Epidemiological studies have shown that 44/44 C. albicans isolates with MICs > ECVs (0.03 mg/liter) have mutations associated with acquired resistance (28).

The clinical significance of the chosen EI50 endpoint, which corresponds to an ∼2-log10 CFU/ml decrease from drug-free control at 72 h (and also increase from initial inoculum) for azoles and Candida species, is unknown. Usually, stasis or 1 log kill is used, although again with no solid support for the clinical significance of those effects. The 2 log10 CFU/ml lower growth compared to that of the drug-free control is further supported by the clinical AUC/MIC of 100 for fluconazole (21, 22), which corresponds to a 2 log10 CFU/kidney reduction compared to untreated neutropenic animals (∼1 log10 increase from initial inoculum) (29). One explanation that this may be sufficient and a relevant target might be the absence of neutrophils both in in vitro and in neutropenic animal studies that usually contribute to a favorable outcome in patients with invasive candidiasis, particularly in ICU patients. Indeed, in vivo studies of experimental invasive candidiasis in neutropenic and nonneutropenic mice showed that median survival was prolonged and fungal load in kidney decreased by 1 log10 CFU/kidney, whereas fluconazole reduced further 1 log10 CFU/kidney in nonneutropenic mice compared to that in neutropenic mice (30). In addition, voriconazole increased phagocytosis of Candida conidia by monocytes/polymorphonuclear leukocytes (31). Thus, the 2-log10 CFU reduction in preclinical neutropenic models for azoles may be sufficient for clinical efficacy.

In conclusion, the PK/PD target determined in the present study using a model that was validated based on in vivo data from a neutropenic animal model indicated that a CLSI and EUCAST susceptibility breakpoint for C. albicans and voriconazole exactly at the respective epidemiological cutoff values of ≤0.03 mg/liter would be appropriate in order to avoid using voriconazole for non-wild-type isolates, which harbor mutations associated with acquired resistance and to further promote the harmonization of the two methodologies.

MATERIALS AND METHODS

Candida isolates.Four C. albicans strains previously used in an animal model of disseminated candidiasis were tested (11). The median MICs were determined with the EUCAST methodology using RPMI 1640 with 2% dextrose medium (32) and the CLSI M27-A3 using standard RPMI 1640 medium (0.2% dextrose) (33) in at least triplicate experiments in three different centers. The isolates were stored in normal sterile saline with 10% glycerol at −70°C and revived by subculturing on Sabouraud dextrose agar (SDA) plates supplemented with gentamicin and chloramphenicol (SGC2; bioMérieux) to ensure purity and viability. Inoculum suspensions were prepared in normal sterile saline from 24-h cultures and adjusted to a final inoculum of 104 CFU/ml using a counting chamber. The CFU number was confirmed by quantitative cultures on SDA plates.

Antifungal drugs and medium.Pure powder of voriconazole (Pfizer, Inc., Athens, Greece) was dissolved in sterile dimethyl sulfoxide (DMSO) (Carlo Erba Reactifs SDS, Val de Reuil, France), and stock solutions of 10 mg/ml were stored at −70°C until use. The medium used throughout was RPMI 1640 medium (with l-glutamine, without bicarbonate) buffered to pH 7.0 with 0.165 M morpholinepropanesulfonic acid (AppliChem GmbH, Darmstadt, Germany) and supplemented with 100 mg/liter chloramphenicol (AppliChem GmbH, Darmstadt, Germany).

In vitro PK/PD model.A previously described two-compartment PK/PD diffusion/dialysis model simulating in vivo pharmacokinetics (10) was used. The model consists of an external compartment (EC) comprised of a conical flask connected to a peristaltic pump (Minipuls Evolution; Gilson, Inc.) and an internal compartment (IC) comprised of a 10-ml-volume semipermeable cellulose dialysis tube (molecular weight < 20 kDa, Spectra/Por Float-A-Lyzer G2; Spectrum Laboratories, Inc., Breda, The Netherlands), inoculated with 104 CFU/ml yeast suspension. Repeated sampling of 100 μl was made from the IC in order to assure that drug concentrations in the IC indeed mimic voriconazole drug concentration profiles in human or animal plasma. Samples were stored at −70°C until tested. Replicate experiments were conducted in order to assess the reproducibility.

In vitro/in vivo correlation.The in vitro PK/PD model was validated using the 4 C. albicans isolates previously used in a neutropenic murine candidiasis model (11). The voriconazole mouse plasma concentration-time profiles of 10, 20, and 40 mg/kg once daily in mice were simulated in the in vitro PK/PD model targeting maximum mouse plasma concentrations (Cmax) of mean ± SD of 0.47 ± 0.10, 1.67 ± 0.69, and 6.9 ± 2.40 mg/liter and area under the 24-h time-total drug concentration curves (tAUC0–24) of mean ± SD of 0.72 ± 0.12, 3.84 ± 1.70, and 27.2 ± 12.2 mg · h/liter, respectively, with an average half-life of 0.9 ± 2.9 h. Drug concentrations were added at the corresponding Cmax values in the in vitro model once daily for 2 days. The log10 CFU per milliliter (log10CFU/ml) and voriconazole levels were determined at regular time intervals as described below. The 24-h change in log10CFU/ml compared to initial inoculum at t = 0 h versus fAUC0–24/MIC relationship was analyzed with the Emax model, and the fAUC0–24/MIC associated with 50% of maximal activity was estimated and compared with the in vivo fAUC0–24/MIC associated with 50% of maximal reduction of fungal load in mouse kidneys after 1 day of treatment (11). Furthermore, the pharmacodynamic effects after 48 h were also studied and the 48-h change in log10 CFU per milliliter versus fAUC0–24/MIC relationship was analyzed with the Emax model. For comparison with the in vivo PK/PD data, the 22% unbound fraction of voriconazole in mouse serum was taken into account (11).

In vitro pharmacokinetics.Different voriconazole drug concentration-time profiles were simulated in the in vitro PK/PD model, with fCmax values of 28, 7, 1.75, 0.8, and 0.008 mg/liter and a half-life of 6 h. Voriconazole levels were measured using a microbiological agar diffusion assay as previously described using a voriconazole-susceptible Candida parapsilosis isolate (34). The lowest limit of detection was 0.25 mg/liter and intra/interday variation of <15%. The data obtained were subjected to nonlinear regression analysis based on the one-compartment model described by the equation Ct = Coe−k/t where Ct (dependent variable) is the drug concentration at a given time t (independent variable), Co is the initial drug concentration at 0 h, e is the physical constant 2.18, and k is the rate of drug removal. The half-life was calculated using the equation t1/2 = 0.693/k and compared with the respective values observed in humans. Finally, the area under the dosing interval time-free drug concentration curves (fAUC0–24) was calculated for each simulated dosage by applying the trapezoidal rule (the fAUC for fCmax 0.008 mg/liter was extrapolated).

In vitro pharmacodynamics.To estimate the fungal load inside the dialysis tubes (internal compartment) of each voriconazole dosing regimen, 100-μl samples were collected at regular intervals up to 72 h, 10-fold serially diluted in normal saline, and subcultured on SAB plates. Plates were incubated at 30°C for 24 h, and colonies were counted at each dilution. Dilutions that yielded 10 to 50 colonies were used in order to determine the log10 CFU per milliliter at each time point and construct the time-kill curves. The lowest limit of detection was 1 log10 CFU/ml.

PK/PD modeling.To determine the in vitro exposure-response relationship, the log10CFU/ml at 72 h was subtracted by log10CFU/ml at a t of 0 h and plotted over fAUC0–24/MIC ratio for each simulated dose and isolate. The data were then analyzed with nonlinear regression analysis using the sigmoidal model with variable slope (Emax model) described by the equation E = (Emax − Emin) × EIn/(EIn + EI50n) + Emin, where Emax is the maximum increase log10 CFU per milliliter in the drug-free control (kept contact to log10 CFU per milliliter in drug-free control), Emin is the minimum log10 CFU per milliliter found at high drug exposures (kept constant to −1 log10 CFU/ml), the EI is the exposure index fAUC0 − 24/MIC, EI50 is the exposure index required to achieve 50% of Emax, Emin, and n is the slope of the dose-effect relationship (Hill coefficient). The goodness of fit of the Emax model was assessed by visual inspection of graphs, residuals analysis, post run’s test, and R2. All data were analyzed using the statistics software package GraphPad Prism version 5.0 for Windows (GraphPad Software, San Diego, CA).

Monte Carlo simulation.Monte Carlo simulation analysis was performed using the normal random number generator function of an Excel spreadsheet (MS Office 2007) for 1,000 patients receiving the standard intravenous voriconazole dosage of 4 mg/kg intravenously (i.v.) or 300 mg orally twice daily, which corresponds to a total mean ± SD tAUC0–12 of 50.4 ± 41.83 mg · h/liter (12). For the simulation analysis, the fAUC0–24 was calculated as 2× fAUC0–12, where the fAUC0–12 was 21.4 ± 17.57 mg · h/liter based on the 42% unbound fraction of voriconazole in human serum (35). The probability of target attainment (PTA) for EI50 was estimated for isolates with MICs ranging from 0.008 to 4 mg/liter, and PK/PD susceptibility breakpoints were determined. The 95% CI of each PTA was calculated based on the upper and lower 95% CI limit of EI50. Previously published MIC distribution data for C. albicans with CLSI (28) and EUCAST (6) were used. The MICs for which the lower 95% CI limit was higher than 95% and 50% PTA were determined.

Trough levels and MICs.The required trough levels in human serum necessary to attain the mean and 95% CI limits of EI50s were calculated for different MICs. For that reason, the previously described relationship between serum tAUC and trough concentrations (tCmin), namely, tAUC0–12 = 7.011 + 12.687 · tCmin (36) was used, taking into account the 42% unbound fraction of voriconazole in human serum (13). The EUCAST and CLSI24 MICs for C. albicans at which the corresponding PK/PD targets were attained were plotted against the tAUC0–12 and tCmin.

ACKNOWLEDGMENTS

This study was supported by an unrestricted grant from Pfizer, Greece, and the ESCMID research grant 2016.

We declare no conflict of interest.

FOOTNOTES

    • Received 23 January 2020.
    • Returned for modification 27 February 2020.
    • Accepted 26 March 2020.
    • Accepted manuscript posted online 30 March 2020.
  • Copyright © 2020 American Society for Microbiology.

All Rights Reserved.

REFERENCES

  1. 1.↵
    1. Morgan J,
    2. Meltzer MI,
    3. Plikaytis BD,
    4. Sofair AN,
    5. Huie-White S,
    6. Wilcox S,
    7. Harrison LH,
    8. Seaberg EC,
    9. Hajjeh RA,
    10. Teutsch SM
    . 2005. Excess mortality, hospital stay, and cost due to candidemia: a case-control study using data from population-based candidemia surveillance. Infect Control Hosp Epidemiol 26:540–547. doi:10.1086/502581.
    OpenUrlCrossRefPubMedWeb of Science
  2. 2.↵
    1. Fridkin SK
    . 2005. Candidemia is costly–plain and simple. Clin Infect Dis 41:1240–1241. doi:10.1086/496935.
    OpenUrlCrossRefPubMedWeb of Science
  3. 3.↵
    1. Arendrup MC
    . 2013. Candida and candidaemia: susceptibility and epidemiology. Dan Med J 60:B4698.
    OpenUrlPubMed
  4. 4.↵
    1. Espinel-Ingroff A,
    2. Cuenca-Estrella M,
    3. Cantón E
    . 2013. EUCAST and CLSI: working together towards a harmonized method for antifungal susceptibility testing. Curr Fungal Infect Rep 7:59–67. doi:10.1007/s12281-012-0125-7.
    OpenUrlCrossRef
  5. 5.↵
    1. Pfaller MA,
    2. Andes D,
    3. Diekema DJ,
    4. Espinel-Ingroff A,
    5. Sheehan D
    . 2010. Wild-type MIC distributions, epidemiological cutoff values and species-specific clinical breakpoints for fluconazole and Candida: time for harmonization of CLSI and EUCAST broth microdilution methods. Drug Resist Updat 13:180–195. doi:10.1016/j.drup.2010.09.002.
    OpenUrlCrossRefPubMedWeb of Science
  6. 6.↵
    European Committee for Antimicrobial Susceptibility Testing. 2017. Voriconazole: rationale for the EUCAST clinical breakpoints, version 3.0. http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Rationale_documents/Voriconazole_RD_V.3_final_______Dec17.pdf.
  7. 7.↵
    Clinical and Laboratory Standards Institute. 2018. Epidemiological cutoff values for antifungal susceptibility testing; 2nd ed. CLSI supplement M59. Clinical and Laboratory Standards Institute, Wayne, PA.
  8. 8.↵
    Clinical and Laboratory Standards Institute. 2017. M60: performance standards for antifungal susceptibility testing of yeasts; supplement—1st ed. Clinical and Laboratory Standards Institute, Wayne, PA.
  9. 9.↵
    1. Guinea J,
    2. Zaragoza O,
    3. Escribano P,
    4. Martin-Mazuelos E,
    5. Peman J,
    6. Sanchez-Reus F,
    7. Cuenca-Estrella M,
    8. Zaragoza Ó,
    9. Escribano P,
    10. Martín-Mazuelos E,
    11. Pemán J,
    12. Sánchez-Reus F,
    13. Cuenca-Estrella M
    . 2014. Molecular identification and antifungal susceptibility of yeast isolates causing fungemia collected in a population-based study in Spain in 2010 and 2011. Antimicrob Agents Chemother 58:1529–1537. doi:10.1128/AAC.02155-13.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Meletiadis J,
    2. Al-Saigh R,
    3. Velegraki A,
    4. Walsh T,
    5. Roilides E,
    6. Zerva L
    . 2012. Pharmacodynamic effects of simulated standard doses of antifungal drugs against Aspergillus species in a new in vitro pharmacokinetic/pharmacodynamic model. Antimicrob Agents Chemother 56:403–410. doi:10.1128/AAC.00662-11.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. Andes D,
    2. Marchillo K,
    3. Stamstad T,
    4. Conklin R
    . 2003. In vivo pharmacokinetics and pharmacodynamics of a new triazole, voriconazole, in a murine candidiasis model. Antimicrob Agents Chemother 47:3165–3169. doi:10.1128/AAC.47.10.3165-3169.2003.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    Pfizer. 2010. Vfend (voriconazole) United States package insert. Pfizer Inc., New York, NY.
  13. 13.↵
    1. Pascual A,
    2. Calandra T,
    3. Bolay S,
    4. Buclin T,
    5. Bille J,
    6. Marchetti O
    . 2008. Voriconazole therapeutic drug monitoring in patients with invasive mycoses improves efficacy and safety outcomes. Clin Infect Dis 46:201–211. doi:10.1086/524669.
    OpenUrlCrossRefPubMedWeb of Science
  14. 14.↵
    1. Klepser ME,
    2. Malone D,
    3. Lewis RE,
    4. Ernst EJ,
    5. Pfaller MA
    . 2000. Evaluation of voriconazole pharmacodynamics using time-kill methodology. Antimicrob Agents Chemother 44:1917–1920. doi:10.1128/AAC.44.7.1917-1920.2000.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. Venisse N,
    2. Gregoire N,
    3. Marliat M,
    4. Couet W
    . 2008. Mechanism-based pharmacokinetic-pharmacodynamic models of in vitro fungistatic and fungicidal effects against Candida albicans. Antimicrob Agents Chemother 52:937–943. doi:10.1128/AAC.01030-07.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    1. Pfaller MA,
    2. Diekema DJ,
    3. Rex JH,
    4. Espinel-Ingroff A,
    5. Johnson EM,
    6. Andes D,
    7. Chaturvedi V,
    8. Ghannoum MA,
    9. Odds FC,
    10. Rinaldi MG,
    11. Sheehan DJ,
    12. Troke P,
    13. Walsh TJ,
    14. Warnock DW
    . 2006. Correlation of MIC with outcome for Candida species tested against voriconazole: analysis and proposal for interpretive breakpoints. J Clin Microbiol 44:819–826. doi:10.1128/JCM.44.3.819-826.2006.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Andes D,
    2. Pascual A,
    3. Marchetti O,
    4. Pascua A,
    5. Marchetti O
    . 2008. Antifungal therapeutic drug monitoring: established and emerging indications. Antimicrob Agents Chemother 53:24–34. doi:10.1128/AAC.00705-08.
    OpenUrlFREE Full Text
  18. 18.↵
    1. Yi WM,
    2. Schoeppler KE,
    3. Jaeger J,
    4. Mueller SW,
    5. MacLaren R,
    6. Fish DN,
    7. Kiser TH
    . 2017. Voriconazole and posaconazole therapeutic drug monitoring: a retrospective study. Ann Clin Microbiol Antimicrob 16:60. doi:10.1186/s12941-017-0235-8.
    OpenUrlCrossRef
  19. 19.↵
    1. Ruhnke M,
    2. Schmidt-Westhausen A,
    3. Trautmann M
    . 1997. In vitro activities of voriconazole (UK-109,496) against fluconazole-susceptible and -resistant Candida albicans isolates from oral cavities of patients with human immunodeficiency virus infection. Antimicrob Agents Chemother 41:575–577. doi:10.1128/AAC.41.3.575.
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Hegener P,
    2. Troke PF,
    3. Fätkenheuer G,
    4. Diehl V,
    5. Ruhnke M
    . 1998. Treatment of fluconazole-resistant candidiasis with voriconazole in patients with AIDS. AIDS 12:2227–2228.
    OpenUrlPubMedWeb of Science
  21. 21.↵
    1. Pfaller MA,
    2. Boyken L,
    3. Hollis RJ,
    4. Kroeger J,
    5. Messer SA,
    6. Tendolkar S,
    7. Jones RN,
    8. Turnidge J,
    9. Diekema DJ
    . 2010. Wild-type MIC distributions and epidemiological cutoff values for the echinocandins and Candida spp. J Clin Microbiol 48:52–56. doi:10.1128/JCM.01590-09.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    EUCAST. 2013. Fluconazole. Rationale for the EUCAST clinical breakpoints, version 2.0. http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Rationale_documents/Fluconazole_rationale_2_0_20130223.pdf.
  23. 23.↵
    1. Pfaller MA,
    2. Andes D,
    3. Arendrup MC,
    4. Diekema DJ,
    5. Espinel-Ingroff A,
    6. Alexander BD,
    7. Brown SD,
    8. Chaturvedi V,
    9. Fowler CL,
    10. Ghannoum MA,
    11. Johnson EM,
    12. Knapp CC,
    13. Motyl MR,
    14. Ostrosky-Zeichner L,
    15. Walsh TJ
    . 2011. Clinical breakpoints for voriconazole and Candida spp. revisited: review of microbiologic, molecular, pharmacodynamic, and clinical data as they pertain to the development of species-specific interpretive criteria. Diagn Microbiol Infect Dis 70:330–343. doi:10.1016/j.diagmicrobio.2011.03.002.
    OpenUrlCrossRefPubMedWeb of Science
  24. 24.↵
    1. Espinel-Ingroff A,
    2. Turnidge J,
    3. Alastruey-Izquierdo A,
    4. Botterel F,
    5. Canton E,
    6. Castro C,
    7. Chen Y-C,
    8. Chen Y,
    9. Chryssanthou E,
    10. Dannaoui E,
    11. Garcia-Effron G,
    12. Gonzalez GM,
    13. Govender NP,
    14. Guinea J,
    15. Kidd S,
    16. Lackner M,
    17. Lass-Flörl C,
    18. Linares-Sicilia MJ,
    19. López-Soria L,
    20. Magobo R,
    21. Pelaez T,
    22. Quindós G,
    23. Rodriguez-Iglesia MA,
    24. Ruiz MA,
    25. Sánchez-Reus F,
    26. Sanguinetti M,
    27. Shields R,
    28. Szweda P,
    29. Tortorano A,
    30. Wengenack NL,
    31. Bramati S,
    32. Cavanna C,
    33. DeLuca C,
    34. Gelmi M,
    35. Grancini A,
    36. Lombardi G,
    37. Meletiadis J,
    38. Negri CE,
    39. Passera M,
    40. Peman J,
    41. Prigitano A,
    42. Sala E,
    43. Tejada M
    . 2018. Method-dependent epidemiological cutoff values for detection of triazole resistance in Candida and Aspergillus species for the Sensititre YeastOne colorimetric broth and Etest agar diffusion methods. Antimicrob Agents Chemother 63:e01651-18. doi:10.1128/AAC.01651-18.
    OpenUrlAbstract/FREE Full Text
  25. 25.↵
    1. Chen L,
    2. Wang T,
    3. Wang Y,
    4. Yang Q,
    5. Xie J,
    6. Li Y,
    7. Lei J,
    8. Wang X,
    9. Xing J,
    10. Dong Y,
    11. Dong H
    . 2016. Optimization of voriconazole dosage regimen to improve the efficacy in patients with invasive fungal disease by pharmacokinetic/pharmacodynamic analysis. Fundam Clin Pharmacol 30:459–465. doi:10.1111/fcp.12212.
    OpenUrlCrossRef
  26. 26.↵
    1. Castanheira M,
    2. Deshpande LM,
    3. Davis AP,
    4. Rhomberg PR,
    5. Pfaller MA
    . 2017. Monitoring antifungal resistance in a global collection of invasive yeasts and molds: application of CLSI epidemiological cutoff values and whole-genome sequencing analysis for detection of azole resistance in Candida albicans. Antimicrob Agents Chemother 61:e00906-17. doi:10.1128/AAC.00906-17.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. MacCallum DM,
    2. Coste A,
    3. Ischer F,
    4. Jacobsen MD,
    5. Odds FC,
    6. Sanglard D
    . 2010. Genetic dissection of azole resistance mechanisms in Candida albicans and their validation in a mouse model of disseminated infection. Antimicrob Agents Chemother 54:1476–1483. doi:10.1128/AAC.01645-09.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    1. Espinel-Ingroff A,
    2. Pfaller MA,
    3. Bustamante B,
    4. Canton E,
    5. Fothergill A,
    6. Fuller J,
    7. Gonzalez GM,
    8. Lass-Flörl C,
    9. Lockhart SR,
    10. Martin-Mazuelos E,
    11. Meis JF,
    12. Melhem MSC,
    13. Ostrosky-Zeichner L,
    14. Pelaez T,
    15. Szeszs MW,
    16. St-Germain G,
    17. Bonfietti LX,
    18. Guarro J,
    19. Turnidge J,
    20. Lass-Florl C,
    21. Lockhart SR,
    22. Martin-Mazuelos E,
    23. Meis JF,
    24. Melhem MSC,
    25. Ostrosky-Zeichner L,
    26. Pelaez T,
    27. Szeszs MW,
    28. St-Germain G,
    29. Bonfietti LX,
    30. Guarro J,
    31. Turnidge J
    . 2014. Multilaboratory study of epidemiological cutoff values for detection of resistance in eight Candida species to fluconazole, posaconazole, and voriconazole. Antimicrob Agents Chemother 58:2006–2012. doi:10.1128/AAC.02615-13.
    OpenUrlAbstract/FREE Full Text
  29. 29.↵
    1. Andes D,
    2. van Ogtrop M
    . 1999. Characterization and quantitation of the pharmacodynamics of fluconazole in a neutropenic murine disseminated candidiasis infection model. Antimicrob Agents Chemother 43:2116–2120. doi:10.1128/AAC.43.9.2116.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Wiederhold NP,
    2. Najvar LK,
    3. Bocanegra R,
    4. Kirkpatrick WR,
    5. Patterson TF
    . 2012. Comparison of anidulafungin’s and fluconazole’s in vivo activity in neutropenic and non-neutropenic models of invasive candidiasis. Clin Microbiol Infect 18:E20–E23. doi:10.1111/j.1469-0691.2011.03712.x.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Katragkou A,
    2. Kruhlak MJ,
    3. Simitsopoulou M,
    4. Chatzimoschou A,
    5. Taparkou A,
    6. Cotten CJ,
    7. Paliogianni F,
    8. Diza‐Mataftsi E,
    9. Tsantali C,
    10. Walsh TJ,
    11. Roilides E
    . 2010. Interactions between human phagocytes and Candida albicans biofilms alone and in combination with antifungal agents. J Infect Dis 201:1941–1949. doi:10.1086/652783.
    OpenUrlCrossRefPubMedWeb of Science
  32. 32.↵
    1. Arendrup MC,
    2. Guinea J,
    3. Cuenca-Estrella M,
    4. Meletiadis J,
    5. Mouton JW,
    6. Lagrou K,
    7. Howard SJ, Subcommittee on Antifungal Susceptibility Testing of the ESCMID European Committee for Antimicrobial Susceptibility Testing
    . 2015. EUCAST definitive document E.DEF 7.3. Method for the determination of broth dilution minimum inhibitory concentrations of antifungal agents for yeasts. https://www.aspergillus.org.uk/sites/default/files/pictures/Lab_protocols/EUCAST_E_Def_7_3_Yeast_testing_definitive.pdf.
  33. 33.↵
    Clinical and Laboratory Standards Institute. 2008. Reference method for broth dilution antifungal susceptibility testing of yeasts: approved standard—3nd ed. CLSI document M27-A3. Clinical and Laboratory Standards Institute, Wayne, PA.
  34. 34.↵
    1. Siopi M,
    2. Neroutsos E,
    3. Zisaki K,
    4. Gamaletsou M,
    5. Pirounaki M,
    6. Tsirigotis P,
    7. Sipsas N,
    8. Dokoumetzidis A,
    9. Goussetis E,
    10. Zerva L,
    11. Valsami G,
    12. Meletiadis J
    . 2016. Bioassay for determining voriconazole serum levels in patients receiving combination therapy with echinocandins. Antimicrob Agents Chemother 60:632–636. doi:10.1128/AAC.01688-15.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    1. Purkins L,
    2. Wood N,
    3. Greenhalgh K,
    4. Eve MD,
    5. Oliver SD,
    6. Nichols D
    . 2003. The pharmacokinetics and safety of intravenous voriconazole - a novel wide-spectrum antifungal agent. Br J Clin Pharmacol 56(Suppl):2–9. doi:10.1046/j.1365-2125.2003.01992.x.
    OpenUrlCrossRefPubMedWeb of Science
  36. 36.↵
    1. Liu P,
    2. Mould DR
    . 2014. Population pharmacokinetic analysis of voriconazole and anidulafungin in adult patients with invasive aspergillosis. Antimicrob Agents Chemother 58:4718–4726. doi:10.1128/AAC.02808-13.
    OpenUrlAbstract/FREE Full Text
PreviousNext
Back to top
Download PDF
Citation Tools
Toward Harmonization of Voriconazole CLSI and EUCAST Breakpoints for Candida albicans Using a Validated In Vitro Pharmacokinetic/Pharmacodynamic Model
Maria-Ioanna Beredaki, Panagiota-Christina Georgiou, Maria Siopi, Lamprini Kanioura, David Andes, Maiken Cavling Arendrup, Johan W. Mouton, Joseph Meletiadis
Antimicrobial Agents and Chemotherapy May 2020, 64 (6) e00170-20; DOI: 10.1128/AAC.00170-20

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Print

Alerts
Sign In to Email Alerts with your Email Address
Email

Thank you for sharing this Antimicrobial Agents and Chemotherapy article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Toward Harmonization of Voriconazole CLSI and EUCAST Breakpoints for Candida albicans Using a Validated In Vitro Pharmacokinetic/Pharmacodynamic Model
(Your Name) has forwarded a page to you from Antimicrobial Agents and Chemotherapy
(Your Name) thought you would be interested in this article in Antimicrobial Agents and Chemotherapy.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Toward Harmonization of Voriconazole CLSI and EUCAST Breakpoints for Candida albicans Using a Validated In Vitro Pharmacokinetic/Pharmacodynamic Model
Maria-Ioanna Beredaki, Panagiota-Christina Georgiou, Maria Siopi, Lamprini Kanioura, David Andes, Maiken Cavling Arendrup, Johan W. Mouton, Joseph Meletiadis
Antimicrobial Agents and Chemotherapy May 2020, 64 (6) e00170-20; DOI: 10.1128/AAC.00170-20
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Top
  • Article
    • ABSTRACT
    • INTRODUCTION
    • RESULTS
    • DISCUSSION
    • MATERIALS AND METHODS
    • ACKNOWLEDGMENTS
    • FOOTNOTES
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

KEYWORDS

voriconazole
Candida albicans
susceptibility breakpoints
CLSI
EUCAST
PK/PD
antifungal susceptibility testing
breakpoints

Related Articles

Cited By...

About

  • About AAC
  • Editor in Chief
  • Editorial Board
  • Policies
  • For Reviewers
  • For the Media
  • For Librarians
  • For Advertisers
  • Alerts
  • AAC Podcast
  • RSS
  • FAQ
  • Permissions
  • Journal Announcements

Authors

  • ASM Author Center
  • Submit a Manuscript
  • Article Types
  • Ethics
  • Contact Us

Follow #AACJournal

@ASMicrobiology

       

ASM Journals

ASM journals are the most prominent publications in the field, delivering up-to-date and authoritative coverage of both basic and clinical microbiology.

About ASM | Contact Us | Press Room

 

ASM is a member of

Scientific Society Publisher Alliance

 

American Society for Microbiology
1752 N St. NW
Washington, DC 20036
Phone: (202) 737-3600

Copyright © 2021 American Society for Microbiology | Privacy Policy | Website feedback

Print ISSN: 0066-4804; Online ISSN: 1098-6596