long half-life drugs in infectious diseases: implications and … · 2014-11-04 · against h....
TRANSCRIPT
1 1
Alan Forrest1,3*
Jürgen B. Bulitta2,1
Olanrewaju Okusanya1,3 Elizabeth Lakota3,1
Long Half-life Drugs in Infectious Diseases:
Implications and Complications
1: State University of NY at Buffalo
Schools of Pharmacy & of Medicine
2: Monash University
Institute of Pharmaceutical Sciences
Melbourne Australia
3: Institute for Clinical Pharmacodynamics
Buffalo & Latham NY
Authors’ Copyright © 2014. All rights reserved.
In Session: Drugs That Just Won’t Leave: From
Stars of the Party to Unwelcome Guests Annual Meeting of the AAPS, San Diego, California
Tuesday November 4, 2014
Paul Ehrlich (1854-1915): 1908 Nobel
Prize for Physiology/Medicine
• German physician and scientist
• Pioneer in hematology, immunology, oncology
and infectious diseases
• Invented the predecessor of Gram staining
• Autoimmunity, side-chain theory, antigen-
antibody interactions
• Named and defined the concept of chemotherapy
• Early work illuminated the existence of the blood-
brain barrier
• Therapia magna sterilisans, chemotherapia
specifica; arsphenamine (Salvarsan), the first
‘magic bullet’ (1910)
2
Outline
Heterogeneity of bacterial isolates
Mixture models for antibacterial PD
Definition and rationale for PD ‘front loading’
Azithromycin (AZT) sustained release formulation
Oritavancin (ORI) and Staph aureus pneumonia
ORI: complicated skin and skin structure infections
Dalbavancin and optimal sparse sampling strategies
Take-home messages
3
4
Concentrations
0 0.25 0.5 1 2 3 4 5 6 7 8 12 16 32
Lo
g1
0 (
CF
U/m
L)
1
2
3
4
5
6
7
8
9
10
11
12
Before Therapy
After Suboptimal Therapy
Heterogeneous Resistance: Subpopulation
Analysis in a Clinical Staph. aureus Isolate
Tsuji BT et al. Unpublished data.
Vancomycin concentration (mg/L)
(MIC, for the green curve, is 1.0, but
MIC of sub-populations are > 1 to 8)
‘Mixture Models’ for Antibacterial PD
8
• dCFU/dt = VGmax∙CFU/(CFUm + CFU) – Kd∙CFU
capacity-limited replication natural death
VGmax = Kd∙(CFUm + CFUmax)
Let Kg = VGmax/(CFUm + CFU)
• dCFU/dt = CFU∙(Kg – Kd)
• PD model with effect (E) on either Kd or Kg:
Kd∙(1 + Emax∙CH/(EC50H + CH)) = Kd∙E or
Kg∙(1 – Emax∙CH/(EC50H + CH)) = Kg∙E
• dCFU/dt = CFU∙(Kg – Kd∙E) or
• dCFU/dt = CFU∙(Kg∙E – Kd)
• One ODE per sub-population, which differ, at least, in EC50 and initial
inoculum (differences in VGmax have also been used for differing ‘fitness’)
• Numbers of populations are a problem in model discrimination, tested using
the corrected Akaike’s Information Criterion (cAIC)
Meagher AK, Forrest A, et al. 2004, AAC 48:2061-8.
The concept of PD front-loading (FL)
• At T=0 for a serious infection, total bacterial burden is
high (too much for the host defenses, alone) and the
percent of bacteria in resistant sub-populations, is low
• At the start of therapy (6-48 hours?), maximize rate and
extent of killing of drug-susceptible bacteria, leaving the
smallest possible residual (of more resistant bacteria) to
be killed by the capacity-limited immune system
• For ‘AUC-dependent’ drugs, with high maximum rate of
kill and with a good safety margin, FL with monotherapy
should be feasible
• For drugs with slower rates of kill, consider FL with
sustained-release, or multiple doses, or combinations
6
Pre-clinical Evaluation of Sustained Release Azithromycin (AZT), Given as a Single Dose
• PK model is linear, 3 cmpt, in humans1 and gerbils
• Regimens for gerbils were ‘humanized’ by giving small supplemental doses designed, in this study, to mimic time-course of human free drug AUC (fAUC)
1 Amsden GW et al. Clinical Drug Investigations 1997; 13(3):152-162
Vc
Vps
Gut VpfTLag,ka
CLt
CLdf
CLdsOral
Dose
Vc
Vps
Gut VpfTLag,ka
CLt
CLdf
CLdsOral
Dose
• Approved oral regimens were: 500 mg followed by 250 mg/day x 4
(5D) and 500 mg q. day x 3 (3D)
• Experimental regimen, using a sustained release formulation, was a
single dose of 1500 mg (SR); feasible due to long AZT T1/2?
• Animal infection model: Mongolian gerbils with acute otitis media
infections due to Haemophilus influenzae
• Adaptive study design; ‘humanization’ of AZT PK profiles
AZT Pharmacokinetic Parameters
Parameter
(units)
Humans Gerbils
Vc (L/kg) 6.67 3.45
Vpf (L/kg) 42.7 33.5
Vps (L/kg) 78.9 44.9
CLdf (L/h/kg) 4.55 19.3
CLds (L/h/kg) 0.59 6.96
CLt (L/h/kg) 1.77 5.38
T½ (h) 138 6.71
Azithromycin Regimens in Humans
5D: 500 + 250mg q. day x 4
3D: 500mg q. day x 3
SR: 1500mg SR x 1
‘Humanized’ Azithromycin Regimens
5 Day Human and Gerbil PK Profile
Time (hrs)
0 20 40 60 80
Co
nc (
g/m
L)
0.0
0.1
0.2
0.3
5D Gerbil Conc
5D Human Conc
3D Human and Gerbil Profile
Time (hrs)
0 20 40 60 80
Co
nc (
g/m
L)
0.0
0.1
0.2
0.3
3D Gerbil Conc
3D Human Conc
SR Human and Gerbil PK Profile
Time (hrs)
0 20 40 60 80
Con
c (
g/m
L)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
1D Gerbil Conc
1D Human Conc
Okusanya OO, et al Presented at 106th American Society for Clinical Pharmacology and Therapeutics, 2005
IMPACT OF EXPOSURE ‘SHAPE’: Same Exposure Administered Three Ways
Azithromycin (500 mg load, then 250 mg/day or 500 mg QD x 3 days or 1500 mg x 1 dose)
against H. influenzae in a Mongolian gerbil acute otitis media infection model
• In dose partitioning experiments, AZT PD was best associated with AUC/MIC
• The 3 regimens considered below all achieve the SAME AUC (Shape matters!)
• AZT regimens, in gerbils, were ‘humanized’
Simulations Results for Strain 1100
Log C
FU
Log C
FU
Log C
FU
Log C
FU
Time (h) Time (h)
Time (h) Time (h)
Co
nc
(m
g/L
) C
on
c (
mg
/L)
% o
f B
as
eli
ne K
d
% o
f B
as
eli
ne K
d
SR % of Baseline Kd SR Conc vs. Time Plot
3d Conc vs. Time Plot 3d % of Baseline Kd
AZT Summary and Conclusions
• Front-loading the AUC with the SR resulted in a more rapid and complete bacterial kill compared to the 3D and 5D
• PD was best modeled as enhancing Kd (Emax ~4.7-fold increase from baseline, which is small, for an AUC-dependent drug)
• Concentrations at near-Emax, during the first 24 h, resulted in greater kill, for both the sensitive and resistant sub-populations (reduced probability of emergence of resistance and treatment failure)
• 1500 mg AZT, as regular release, is not tolerable and would be less effective (‘wasted’ AUC at high concentrations)
• By the way, single-dose SR AZT works DESPITE its long terminal T1/2, NOT because of it!
- Results were similar in mice, with faster AZT clearance than gerbils, without humanization of AZT profiles
14
ORI and Staph aureus Pneumonia (SAP):
Translation from Mouse to Man
• PK (including ELF) and PD of SAP, in neutropenic mice,
and PK (including ELF), in human volunteers, were
studied
• SS AUC targets in murine ELF were characterized
– The ratios, of SS AUC in ELF to AUC in plasma, were similar in
mouse and in man (not a requirement for translation)
• The corresponding target SS AUC in plasma should be
achievable and tolerable, in humans
• 400 mg once daily, in man, predicted to provide the
desired SS drug concentration in ELF
• Traditional analysis would approve a pneumonia trial
• Predicted time course of PK/PD must also be
considered!
0 10 20 30 40 50 602
3
4
5
6
7
8
Growth Control
Oritavancin, 8 g/mL
Oritavancin, 4 g/mL
Oritavancin, 2 g/mL
Oritavancin, 0.5 g/mL
Vancomycin, 16 g/mL
Time (minutes)
Lo
g C
FU
/mL
S. aureus NRS127 (LIN-NS MRSA); McKay et al. 2008. 18th ECCMID. Poster P-544; and Data on file, The Medicines
Company
ORITAVANCIN IN VITRO TIME-KILL STUDY
AUC-Dependent Killing1
1 ORI PD was also modeled as increased Kd; Emax was much larger than AZT;
compared to AZT, ORI PD is better related to AUC, less sensitive to shape
AUC0-24 Exposure
Targets
STEP 1 RESULTS Non-Clinical Exposure-Response Relationship
for ORI Against S. aureus
Dose (mg/kg/24h) 40 20 10 5 2.5 1.25
Lo
g1
0 C
FU
/Th
igh
or
Lu
ng
afte
r
24
hrs
of T
he
rap
y
-2
-1
0
1
2
Lung
Thigh
Starting CFU
2.5 5.0 10 20 40 80 Free-Drug
AUC (mg/L h) 0-24
S. aureus Smith strain MICold = 1.0 mg/L
1. Dose-response relationship for ORI is based on data from Craig WA, Andes DR. ICAAC 2004, abstract A-1863.
2. Murine PK data are based on data from Bhavnani SM et al. ICAAC 2007, abstract A-51.
Endpoint Dose
(mg/
kg)
Free-
drug
plasma
AUC0-24
stasis 15.8 31.4
1-log kill 30.5 60.6
2-log kill ~ 80 159
Oritavancin and Staph. aureus Pneumonia:
From Mouse to Man
17 Bhavnani SM, et al. ICAAC 2008, Abstract A-51.
V3
Vc
V2
Dose Rate CLt
CL2
CL3
ELF
Kin
Kout
Data were best fit by a 3 -compartment model with a zero-order rate input and linear clearance; the ELF was modeled as a biophase compartment
Rubino CM et al. Oritavancin population pharmacokinetics in healthy subjects and patients with complicated
skin and skin structure infections or bacteremia.. Antimicrobials Agents and Chemotherapy 2009, in press.
ORITAVANCIN POPULATION PK MODEL
Predicted Concentration-Time Profile in Man
● 400 mg PO every 24 hour;
no loading dose given
● Terminal T1/2 seen only in
slow accumulation & washout
CONFOUNDING VARIABLE
Differing Inter-Compartmental Rate Constants
Bhavnani SM, et al. ICAAC 2008, Abstract A-51.
• Oritavancin pharmacokinetics were
studied in both murine and human serum
and epithelial lining fluid (ELF)
• Outcomes in mice at 24 hours are used to
forecast outcomes in humans
• In this simulation, mice & humans were
given identical serum profiles but species-
specific equilibration between serum and
ELF
• In humans, it takes (at least) 96 hours to
reach the ELF exposures associated with
efficacy, in mice at 24 hours
• These data suggest that very large initial
doses (for pneumonia) would be needed
in humans to match the early exposures in
animals
• Oritavancin pneumonia program targeting
S. aureus halted due to these data
20
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
Day
0
1000
2000
3000
4000
Daily
AU
Cp
lasm
a
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
Day
0
80
160
240
Daily
AU
Ce
lf
ORI for SAP, Front Loaded Regimen 800 mg Q12 X 2; Then 400 mg Q24 X 13 Doses
Plasma ELF
Note: many cases still take 3-7 days to achieve the target fAUC in ELF
Oritavancin: Complicated Skin and Skin
Structure Infections
• Oritavancin had been in late-stage clinical development for
nearly 10 years with multiple sponsors
o Primary indication sought was complicated skin and skin structure
infections
o Phase 3 dose regimen was 200 mg IV once daily for 3-5 days
• Late in the game, Sponsor and ICPD scientists asked two
questions:
o Could oritavancin be dosed in a manner that would result in
improved efficacy ?
o If so, how could we demonstrate it pre-clinically to support future
clinical development?
Bhavnani SM et al. Use of pharmacokinetics-pharmacodynamics to support oritavancin dose selection for patients with
complicated skin and skin-structure infection: clinical confirmation of proof of concept. ICAAC 2009, Poster A1-1288.
STEP 1 RESULTS
Comparison of Daily Free-Drug AUC Values
Rubino CM et al. Use of pharmacokinetic-pharmacodynamic principles for decisions for short-course oritavancin dosing
regimens for complicated skin and skin structure infections. 18th European Congress of Clinical Microbiology and
Infectious Diseases.
STEP 2 METHODS
Neutropenic Murine Infection Model
• Based upon population PK in mice and humans,
‘humanized’ ORI dosing regimens for mice were designed
to mimic 2 human oral regimens: 200 mg/day and a single
1200 mg dose
• Staphylococcus aureus was the challenge pathogen;
study duration was 3 days
• PK and PK-PD modeling was done using Monte Carlo
Parametric Expectation Maximization as implemented in
S-ADAPT 1.53
• Again, the one dose regimen (regular release, in this case)
was more active than the traditional regimen
ORITAVANCIN NOVEL DOSE REGIMENS
A Phase 2 Study
• Phase 2 study, international, multi-center, randomized,
double-blind, controlled study in patients with cSSSI
presumed or proven to be caused by gram-positive
pathogen(s)
• The study consisted of 3 treatment arms:
o 200 mg oritavancin IV daily for a minimum of 3 days up to a
maximum of 7 days,
o A single dose of 1200 mg oritavancin IV, or
o A single dose of 800 mg oritavancin IV, with a further dose of 400
mg IV on Day 5 at the discretion of the attending physician
Dunbar LM, et al. Efficacy of oritavancin at single or infrequent doses for the treatment of complicated skin and skin structure infections. 19th European Congress of Clinical Microbiology and Infectious Diseases. Helsinki, Finland, May, 2009.
ORITAVANCIN NOVEL DOSE REGIMENS
A Phase 2 Study
Dunbar LM, et al. Efficacy of oritavancin at single or infrequent doses for the treatment of complicated skin and skin structure infections. 19th European Congress of Clinical Microbiology and Infectious Diseases. Helsinki, Finland, May, 2009.
Dalbavancin (DAL) • Modeled with linear 3 compartment model
• T1/2: alpha phase = 2.5 hours, beta phase = 8.5 days,
terminal phase = 14 days
• Fraction bound: 93%
• Free-drug AUC0-120/MIC = primary PD index
• Approved regimen: 1000 mg followed by 500 mg on
day 8
• Trial planned to compare efficacy of the approved
dosing regimen to a single 1500 mg dose regimen
– Sparse sampling strategy needed
Lakota E et al.. Determination of optimal sparse pharmacokinetic sampling times for a Phase 3 dalbavancin trial. Poster
presented at 54th Interscience Conference on Antimicrobial Agents and Chemotherapy. Washington, DC. September 5-9,
2014
Methods
• Using developed population PK model,
Monte Carlo Simulation of 2000 subjects
was performed
• Wide range of PK variability
– 20 randomly selected subjects PK profile
displayed on right
• To determine optimal sampling times,
stepwise linear regression with bi-
directional selection was performed
• AUC0-∞ was the dependent variable
• DAL concentrations at selected time
points from 0 to 1344 hours (8 weeks)
represented the independent variables
Lakota E et al.. 54th ICAAC. Washington, DC. September 5-9, 2014
Sampling Strategy for AUC0-∞
• Optimal sampling strategy to estimate AUC0-∞ is displayed
below
• All suggested samples occur at or after 120 hours,
indicating that most PK variability occurs after day 5
– The portion of total AUC which occurred after 120 hours ranged
from 21.3% to 92.2%, with a median of 65.9%
# of samples
Suggested time point of samples (h)
Precision
1 1008* 64.0%
2 144, 1008 73.4%
3 144, 1008, 1344** 79.9%
4 144, 192, 1008, 1344 84.6%
5 120, 144, 192, 1008, 1344 86.7% *1008 h = 6 weeks, **1334 h = 8 weeks
Lakota E et al.. 54th ICAAC. Washington, DC. September 5-9, 2014
Sampling Strategy for AUC0-120h
• AUC0-120h is the PK/PD index most closely related to DAL efficacy
• Linear stepwise regression performed again
– AUC0-120h as the dependent variable and concentrations at time
points ranging from 0 – 120 hours as the independent variables
• Optimal sampling strategy to estimate AUC0-120h is displayed
below
# of samples
Suggested time point of samples (h)
Precision AUC0-120
1 23 66.6%
2 18, 23 78.9%
3 18, 23, 36 84.6%
4 5, 18, 23, 36 86.8%
5 5, 18, 23, 36, 48 89.3%
Lakota E et al.. 54th ICAAC. Washington, DC. September 5-9, 2014
Sampling Strategy for Precision of PK
Parameters
• Optimal sampling theory using D-optimality
• Minimizes overall uncertainty in parameter estimates
• Sampling times(h): 1.8, 10, 124, 412, 894, 1344
PK Parameter Predicted CV%
CL 4.8
Vc 40
Vp1 13
Vp2 45
CLd1 34
CLd2 8.5
Lakota E et al.. 54th ICAAC. Washington, DC. September 5-9, 2014
Sampling Strategies are Complicated
• Even with overlapping objectives, optimal sampling
strategy is very dependent on goal of the study
Lakota E et al.. 54th ICAAC. Washington, DC. September 5-9, 2014
Take Home Messages
• Optimal regimens for all antibacterials require insightful
consideration of population PK, range of relevant MICs, site of
infection, and PD characteristics such as bacterial
heterogeneity, main PD driver and targets, rates of net kill,
probability of (new) random point mutations and PD of toxic
effects
• Drugs with very long terminal T1/2 present some interesting
challenges and opportunities but the long T1/2 is rarely
‘useful’ (rarely, if ever, favorable PK)
• Drugs with long T1/2 can accumulate throughout the course
(daily doses with no load) and/or persist long periods at low
concentrations (raising safety and resistance concerns)
32