Pk/Pd of antifungal drugs
Johan W. Mouton MD PhD FIDSA Professor pharmacokinetics and pharmacodynamics
JWM New Delhi 19-03-2015
Disclosures
Research grants – advisory boards – speaker JWM New Delhi 19-03-2015
therapeutic success
Dosing should be such that the level of antmicrobial activity is associated with a high likelihood of therapeutic success.
DOSE
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Efficacy of the drug
Exposure to the bug In vivo (PK)
Potency of a drug (MIC)
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Potency of a drug in vitro (MIC)
Exposure to the bug in vivo (PK)
Dosing Regimen
Antimicrobial Efficacy of the Drug (Microbiological Cure)
Effect on Host ( Clinical Cure)
Mouton et al., Drug Resistance Updates 2011
ACTVITY in vitro (MIC)
JWM New Delhi 19-03-2015
CONCENTRATIONS in vivo (PK)
DOSING regimen
ANTMICROBIAL EFFICACY (Microbiological Cure) Other factors
CLINICAL EFFICACY (Clinical Cure) Mouton et al., Drug Resistance Updates 2011
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Probability of cure after treatment with fluconazole Oropharyngeal Candidiasis n=132 Culture-results with MIC-values
Treatment with fluconazol Doses 50 – 800 mg
Individual Dose
MIC-values per individual
Determine Dose/MIC for each patient
Microbiological outcome (candida cured) Clinical outcome JWM New Delhi 19-03-2015
Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132
1.0
•Prob cure correlates with EC50
prob cure
0.8
R²
43.69
Dose/MIC
0.9938
0.6
•POSITIVE correlation with 0.4
Dose
0.2
•INVERSE correlation with MIC
0.0 1
10
100
1000
Dose/MIC
Each data point represents the proportion of patients cured within a group representing a certain Dose/MIC value Rodriguez- Tudela et al, AAC 2007
JWM New Delhi 19-03-2015
Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132
Pharmacodynamic Target
1.0 EC50
prob cure
0.8
R²
43.69 0.9938
0.6 0.4 0.2 0.0 1
10
100
1000
Dose/MIC
NOTE : MICs by EUCAST method Rodriguez‐ Tudela et al, AAC 2007
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Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132
Pharmacodynamic Target
1.0 EC50
prob cure
0.8
R²
43.69 0.9938
Uncertainty
0.6 0.4 0.2 0.0 1
10
100
1000
Dose/MIC
NOTE : MICs by EUCAST method Rodriguez‐ Tudela et al, AAC 2007
JWM New Delhi 19-03-2015
Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132
1.0
•Prob cure correlates with EC50
prob cure
0.8
R²
43.69
Dose/MIC
0.9938
0.6
•POSITIVE correlation with
0.4
Dose
0.2
•INVERSE correlation with MIC
0.0 1
10
100
1000
Dose/MIC
Each data point represents the proportion of patients cured within a group representing a certain Dose/MIC value Rodriguez- Tudela et al, AAC 2007
JWM New Delhi 19-03-2015
Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132 IF MIC = 4 mg/L WHAT IS THE LOWEST DOSE YOU ARE COMFORTABLE WITH? Pharmacodynamic Target 1.0 EC50
prob cure
0.8
R²
Dose
43.69 0.9938
0.6 0.4 0.2 0.0 1
10
100
1000
1. 200 mg 2. 400 mg 3. 800 mg 4. 1600 mg
Dose/MIC
Rodriguez- Tudela et al, AAC 2007
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Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132 IF Dose = 400 mg WHICH MIC ARE YOU COMFORTABLE WITH?
Pharmacodynamic Target
1.0 EC50
prob cure
0.8
R²
43.69 0.9938
0.6
1. 1 mg/L 2. 2 mg/L 3. 4 mg/L 4. 8 mg/L
0.4 0.2 0.0 1
10
100
1000
Dose/MIC Rodriguez- Tudela et al, AAC 2007
JWM New Delhi 19-03-2015
Probability of cure after treatment with fluconazole Oropharygeal Candidiasis n=132
1.0 EC50
prob cure
0.8
R²
•If The standard dose is 400 mg
43.69 0.9938
0.6
•It follows that the breakpoint is 400/100 = 4 mg/L
0.4 0.2 0.0 1
10
100
1000
Dose/MIC
Rodriguez- Tudela et al, AAC 2007
JWM New Delhi 19-03-2015
Susceptible (S) A micro-organism is defined as susceptible by a level of antmicrobial activity associated with a high likelihood of therapeutic success. A micro-organism is categorized as susceptible by applying the appropriate breakpoint in a defined phenotypic test system. Note: This breakpoint may be altered with legitimate changes in circumstances Intermediate (I) A micro-organism is defined as intermediate by a level of antimicrobial activity associated with indetermiate therapeutic effect. A micro-organism is categorized as intermediate by applying the appropriate breakpoints in a defined phenotypic test system. Note: This breakpoints may be altered with legitimate changes in circumstances. Resistant (R) bacteria are defined as resistant by a level of antimicrobial activity associated with a high likelihood of therapeutic failure. A micro-organism is categorized as resistant by applying the appropriate breakpoint in a defined phenotypic test system. Note: This breakpoint may be altered with legitimate changes in circumstances
WWW.EUCAST.ORG
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5
% successful treatment
Fluconazole , candidiasis
100 80 60 R²
0.9655
EC50
40
36.50
20 0 0
1
2
3
log dose/mic
Mouton, PK/PD of Azoles, 2007
JWM New Delhi 19-03-2015
Problem (or is it?): What if the standard dose is different? What if the population is different?
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ACTVITY in vitro (MIC)
CONCENTRATIONS in vivo (PK)
DOSING regimen
ANTMICROBIAL EFFICACY (Microbiological Cure) Other factors
CLINICAL EFFICACY (Clinical Cure) Mouton et al., Drug Resistance Updates 2011
JWM New Delhi 19-03-2015
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ACTVITY in vitro (MIC)
CONCENTRATIONS in vivo (PK)
DOSING regimen
ANTMICROBIAL EFFICACY (Microbiological Cure) Other factors
CLINICAL EFFICACY (Clinical Cure) Mouton et al., Drug Resistance Updates 2011
ACTVITY in vitro (MIC)
JWM New Delhi 19-03-2015
CONCENTRATIONS in vivo (PK)
DOSING regimen
ANTMICROBIAL EFFICACY (Microbiological Cure) Other factors
CLINICAL EFFICACY (Clinical Cure) Mouton et al., Drug Resistance Updates 2011
JWM New Delhi 19-03-2015
Pharmacokinetic parameters : Measures of Exposure AUC is usually linearly related to Dose
AUC
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Pharmacokinetic parameters : Measures of Exposure AUC is usually linearly related to Dose Dose x 2 = AUC x 2 Dose x 4 = AUC x 4
AUC
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So what determines the relationship between dose and exposure?
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Fluconazole Dose - AUC Relationship
Rodriguez-Tudela et al, AAC 2007
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Relationship Dose – Exposure - MIC volunteer data 400 mg/dose 1000
AUC/MIC
Average 100
10
1
2
4
8
16
32
MIC mg/L
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So what more determines the relationship between dose and exposure?
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Pharmacokinetics
• Some patients are more equal than others
Oktoberfest
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auc distribution fluconazole monte carlo simulation
rel freq
0.2
0.1
0 40 .000 8 .00 12 0.000 160.00 0 200.000 240.000 280.000 320.000 360.000 400.000 440.000 480.000 520.000 560.000 600.000 640.000 680.000 720.000 760.000 800.000 0. 0 00 0
0.0
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Exposure by MIC of fluconazole
volunteer data 400 mg/dose 1000
AUC/MIC
Average 100
10
1
2
4
8
16
32
MIC mg/L
Eucast rationale document, 2007
JWM New Delhi 19-03-2015
Exposure by MIC of fluconazole Monte Carlo Simulations
volunteer data 400 mg/dose 1000
AUC/MIC
Average 100
10
1
2
4
8
16
32
MIC mg/L
Eucast rationale document, 2007
JWM New Delhi 19-03-2015
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Exposure by MIC of fluconazole Monte Carlo Simulations
volunteer data 400 mg/dose 1000
AUC/MIC
Average 100
10
1
2
4
8
16
32
MIC mg/L
Eucast rationale document, 2007
JWM New Delhi 19-03-2015
Exposure by MIC of fluconazole Monte Carlo Simulations
volunteer data 400 mg/dose 1000
AUC/MIC
Average 100
10
1
2
4
8
16
32
MIC mg/L
Eucast rationale document, 2007
JWM New Delhi 19-03-2015
Exposure by MIC of fluconazole Monte Carlo Simulations
volunteer data 400 mg/dose 1000
AUC/MIC
Average 95% CI 99% CI
100
10
1
2
4
8
16
32
MIC mg/L
Target AUC/MIC ratio = 50 Target Dose/MIC ratio = 100 Eucast rationale document, 2007
JWM New Delhi 19-03-2015
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Susceptible (S) A micro-organism is defined as susceptible by a level of antmicrobial activity associated with a high likelihood of therapeutic success. A micro-organism is categorized as susceptible by applying the appropriate breakpoint in a defined phenotypic test system. Note: This breakpoint may be altered with legitimate changes in circumstances Intermediate (I) A micro-organism is defined as intermediate by a level of antimicrobial activity associated with indetermiate therapeutic effect. A micro-organism is categorized as intermediate by applying the appropriate breakpoints in a defined phenotypic test system. Note: This breakpoints may be altered with legitimate changes in circumstances. Resistant (R) bacteria are defined as resistant by a level of antimicrobial activity associated with a high likelihood of therapeutic failure. A micro-organism is categorized as resistant by applying the appropriate breakpoint in a defined phenotypic test system. Note: This breakpoint may be altered with legitimate changes in circumstances
WWW.EUCAST.ORG
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Susceptibility Report LAB REPORT •
Provides Clinician/Consultant guidelines how to optimally treat a patient (Freely translated from EUCAST guideline)
BASED ON EXPOSURES OF COMMON DOSES
JWM New Delhi 19-03-2015
Susceptibility Report LAB REPORT •
Provides Clinician/Consultant guidelines how to optimally treat a patient (Freely translated from EUCAST guideline)
BASED ON EXPOSURES OF COMMON DOSES IN ADULTS JWM New Delhi 19-03-2015
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Exposures in children : differences
• Lower EXPOSURE then expected •Clearance in individual
1.0 EC50
prob cure
0.8
R²
43.69 0.9938
0.6 0.4 0.2 0.0 1
10
100
1000
Dose/MIC
JWM New Delhi 19-03-2015
Pharmacokinetic parameters of Fluconazole by age group 100
3.0
t 1/2
2.5 2.0
60 1.5 40
Vd (l/kg)
t 1/2 (h)
80
Vd
1.0
ad ul ts
ye ar 12 s -1 6 ye ar s
ye ar s
212
0. 25 -2
2
1
1
w ee k
0.0
w ee ks
0.5
0
da y
20
age group Mouton, Antimicrob Pharmacodynamics in Theory and Clin Practice 2007, 357 JWM New Delhi 19-03-2015
AUC per unit dose (mg/kg) of fluconazole differences by age group
AUC
200
100
w ee 0. ks 25 -2 ye ar 2s 12 ye ar 12 s -1 6 ye ar s ad ul ts
2
w 1
1
da y
ee k
0
age group
Mouton, Antimicrob Pharmacodynamics in Theory and Clin Practice 2007, 357 JWM New Delhi 19-03-2015
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auc distribution fluconazole monte carlo simulation 0.2
rel freq
0.5-2 yr
0.1
0 40.000 8 .00 120.000 160.000 200.000 240.000 280.0 0 0 320.000 360.000 0 40 .000 440.000 480.000 520.000 560.000 600.000 640.000 680.000 720.0 0 0 760.000 800.000 0. 0 00 0
0.0
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AUC per unit dose (mg/kg) of fluconazole
AUC
200
100
da y 1
1
w ee k 2 w ee 0. ks 25 -2 ye ar 2s 12 ye ar 12 s -1 6 ye ar s ad ul ts
0
age group Mouton, Antimicrob Pharmacodynamics in Theory and Clin Practice 2007, 357 JWM New Delhi 19-03-2015
MCS of fluconazole: variability in children children data 10 mg/kg 1000
AUC/MIC
Average 95% CI 99% CI
100
10
1
2
4
8
16
32
MIC mg/L
400 mg dose in adults compares to ~ 20 mg/kg JWM New Delhi 19-03-2015
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Exposures in children: • Generally lower – increase dose • Larger variability – be aware, possible increase dose or monitor or estimate clearance • These insights can help to rationalize dosing regimens in children
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To summarize:
• There is a good relationship for exposure and response • This translates to dosing regimens for the general population • Breakpoints are based on the most common lowest dose • Other populations may require doseadjustments • For non-predictable concentrations: TDM is a requirement
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