Population Pharmacokinetics of Prolonged Infusion for Meropenem: Tailoring Dosing Recommendations for Chinese Critically Ill Patients on Continuous Renal Replacement Therapy with Consideration for Renal Function
Yaru Peng,
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Yanan Liu,
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Zeneng Cheng
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et al.
Drug Design Development and Therapy,
Journal Year:
2025,
Volume and Issue:
Volume 19, P. 1105 - 1117
Published: Feb. 1, 2025
Extended
meropenem
infusion
is
increasingly
employed
to
enhance
clinical
outcomes
in
critically
ill
patients.
Nonetheless,
investigations
into
such
dosing
regimens
renal-impaired
patients
undergoing
continuous
renal
replacement
therapy
(CRRT)
are
scarce.
This
study
aims
perform
a
population
pharmacokinetic
(PK)
analysis
of
prolonged
CRRT
inform
optimal
regimens.
Ninety-four
concentrations
from
21
Chinese
receiving
1
g
every
8-12
hours
infused
over
2-3
were
utilized
construct
the
PK
model.
Monte
Carlo
simulations
assess
efficacy
based
on
PK/PD
targets
(100%
fT>MIC
or
100%
fT>4×MIC)
and
risk
nephrotoxicity
(trough
concentration
≥45
mg/L)
for
extended
(0.5-2
with
3-hour
administered
6-12
hours).
Meropenem
data
was
adequately
described
by
one-compartment
model
linear
elimination,
creatinine
clearance
(CLCR)
significantly
influenced
meropenem's
endogenous
clearance.
0.5
q6h
q8h
could
achieve
desirable
attainment
target
against
an
MIC≤4
mg/L,
negligible
toxicity
across
CLCR
range
10-50
mL/min.
2
required
targeting
fT>4×MIC
patients,
but
associated
very
high
(>20%).
A
developed
may
be
regimen
infusion.
Language: Английский
Sampling from covariate distribution may not always be necessary in PK/PD simulations: illustrative examples with antibiotics
Feiyan Liu,
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Zeneng Cheng,
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Sanwang Li
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et al.
Journal of Pharmacokinetics and Pharmacodynamics,
Journal Year:
2025,
Volume and Issue:
52(2)
Published: March 4, 2025
Language: Английский
Multistate modeling for survival analysis in critically ill patients treated with meropenem
Yaru Peng,
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Iris K. Minichmayr,
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Han Liu
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et al.
CPT Pharmacometrics & Systems Pharmacology,
Journal Year:
2023,
Volume and Issue:
13(2), P. 222 - 233
Published: Oct. 26, 2023
Abstract
Appropriate
antibiotic
dosing
to
ensure
early
and
sufficient
target
attainment
is
crucial
for
improving
clinical
outcome
in
critically
ill
patients.
Parametric
survival
analysis
a
preferred
modeling
method
quantify
time‐varying
exposure
–
response
effects,
whereas
bias
may
be
introduced
hazard
functions
when
competing
events
occur.
This
study
investigated
predictors
of
in‐hospital
mortality
patients
treated
with
meropenem
by
pharmacometric
multistate
modeling.
A
model
comprising
five
states
(ongoing
treatment,
other
treatment
termination,
discharge,
death)
was
developed
capture
the
transitions
cohort
577
meropenem.
Various
factors
were
as
potential
transitions,
including
patient
demographics,
creatinine
clearance
calculated
Cockcroft–Gault
equation
(CLCR
CG
),
time
that
unbound
concentrations
exceed
minimum
inhibitory
concentration
(
f
T
>MIC
microbiology‐related
measures.
The
probabilities
transit
from
ongoing
increased
over
time.
10
mL/min
decrease
CLCR
found
elevate
transitioning
termination
death
state
18%.
100%
significantly
transition
rate
(by
9.7%),
associated
improved
outcome.
prospectively
assessed
can
serve
useful
tool
different
infection
scenarios,
particularly
risks
are
present.
Language: Английский
Integration of individual preclinical and clinical anti‐infective PKPD data to predict clinical study outcomes
Clinical and Translational Science,
Journal Year:
2024,
Volume and Issue:
17(7)
Published: July 1, 2024
The
AIDA
randomized
clinical
trial
found
no
significant
difference
in
failure
or
survival
between
colistin
monotherapy
and
colistin-meropenem
combination
therapy
carbapenem-resistant
Gram-negative
infections.
aim
of
this
reverse
translational
study
was
to
integrate
all
individual
preclinical
pharmacokinetic-pharmacodynamic
(PKPD)
data
from
the
a
pharmacometric
framework
explore
whether
individualized
predictions
bacterial
burden
were
associated
with
outcomes.
compiled
dataset
included
for
each
207
patients
(i)
information
on
infecting
Acinetobacter
baumannii
isolate
(minimum
inhibitory
concentration,
checkerboard
assay
data,
fitness
murine
model),
(ii)
plasma
concentrations
meropenem
dosing
history,
(iii)
disease
scores
demographics.
integrated
into
PKPD
models,
predicted
change
count
at
24
h
patient,
as
well
patient
characteristics,
correlated
outcomes
using
logistic
regression.
vivo
most
important
factor
count.
A
model-predicted
growth
≥2-log
Language: Английский