medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 13, 2023
A
bstract
Introduction
Targeted
temperature
management
(TTM)
has
been
associated
with
greater
likelihood
of
neurological
recovery
among
comatose
survivors
cardiac
arrest.
However,
the
efficacy
TTM
is
not
consistently
observed,
possibly
due
to
heterogeneity
therapeutic
response.
The
aim
this
study
determine
if
models
leveraging
multi-modal
data
available
in
first
12
hours
after
ICU
admission
(hyperacute
phase)
can
predict
short-term
outcome
TTM.
Methods
Adult
patients
receiving
arrest
were
selected
from
a
multicenter
database.
Predictive
features
extracted
clinical,
physiologic,
and
laboratory
hyperacute
phase.
Primary
endpoints
survival
favorable
outcome,
determined
as
ability
follow
commands
(motor
Glasgow
Coma
Scale
[mGCS]
6)
upon
discharge.
Three
machine
learning
(ML)
algorithms
trained:
generalized
linear
(GLM),
random
forest
(RF),
gradient
boosting
(XG).
Models
optimal
forward
selection
10-fold
cross-validated
resampled
10
times.
Results
Data
on
310
who
received
TTM,
whom
183
survived
123
had
outcome.
GLM
performed
best,
an
area
under
receiver
operating
characteristic
curve
(AUROC)
0.86
±
0.04,
sensitivity
0.75
0.09,
specificity
0.77
0.07
for
prediction
AUROC
0.85
0.03,
0.71
0.10,
0.80
0.12
Features
most
predictive
both
included
lower
serum
chloride
concentration,
higher
pH,
neutrophil
counts.
Conclusion
In
arrest,
outcomes
be
accurately
discriminated
using
ML
applied
routinely
collected
admission.
With
validation,
could
enable
personalized
approach
clinical
decision-making
post-cardiac
setting.
Clinical Interventions in Aging,
Journal Year:
2023,
Volume and Issue:
Volume 18, P. 93 - 112
Published: Jan. 1, 2023
Abstract:
There
is
a
growing
population
of
older
adults
requiring
admission
to
the
intensive
care
unit
(ICU).
This
outpaces
ability
clinicians
with
geriatric
training
assist
in
their
management.
Specific
and
education
for
intensivists
patients
valuable
help
understand
inform
clinical
care,
as
physiologic
changes
aging
affect
each
organ
system.
review
highlights
some
these
processes
discusses
implications
vulnerable
population.
Other
considerations
when
caring
ICU
include
functional
outcomes
morbidity,
opposed
merely
focus
on
mortality.
An
overall
holistic
approach
incorporating
physiology
aging,
applying
current
evidence,
including
patient
family
should
be
used
ICU.
Keywords:
syndrome,
critical
illness,
dysfunction,
shock,
respiratory
failure
Circulation,
Journal Year:
2024,
Volume and Issue:
150(7)
Published: June 27, 2024
This
scientific
statement
presents
a
conceptual
framework
for
the
pathophysiology
of
post–cardiac
arrest
brain
injury,
explores
reasons
previous
failure
to
translate
preclinical
data
clinical
practice,
and
outlines
potential
paths
forward.
Post–cardiac
injury
is
characterized
by
4
distinct
but
overlapping
phases:
ischemic
depolarization,
reperfusion
repolarization,
dysregulation,
recovery
repair.
Previous
research
has
been
challenging
because
limitations
laboratory
models;
heterogeneity
in
patient
populations
enrolled;
overoptimistic
estimation
treatment
effects
leading
suboptimal
sample
sizes;
timing
route
intervention
delivery;
limited
or
absent
evidence
that
engaged
mechanistic
target;
postresuscitation
care,
prognostication,
withdrawal
life-sustaining
treatments.
Future
trials
must
tailor
their
interventions
subset
patients
most
likely
benefit
deliver
this
at
appropriate
time,
through
route,
dose.
The
complexity
suggests
monotherapies
are
unlikely
be
as
successful
multimodal
neuroprotective
therapies.
Biomarkers
should
developed
identify
with
targeted
mechanism
quantify
its
severity,
measure
response
therapy.
Studies
need
adequately
powered
detect
effect
sizes
realistic
meaningful
patients,
families,
clinicians.
Study
designs
optimized
accelerate
evaluation
promising
interventions.
Multidisciplinary
international
collaboration
will
essential
realize
goal
developing
effective
therapies
injury.
Critical Care,
Journal Year:
2022,
Volume and Issue:
26(1)
Published: Nov. 24, 2022
Abstract
Most
of
the
patients
who
die
after
cardiac
arrest
do
so
because
hypoxic-ischemic
brain
injury
(HIBI).
Experimental
evidence
shows
that
temperature
control
targeted
at
hypothermia
mitigates
HIBI.
In
2002,
one
randomized
trial
and
quasi-randomized
showed
32–34
°C
improved
neurological
outcome
mortality
in
are
comatose
arrest.
However,
following
publication
these
trials,
other
studies
have
questioned
neuroprotective
effects
hypothermia.
2021,
largest
study
conducted
far
on
(the
TTM-2
trial)
including
1900
adults
resuscitation
no
effect
33
compared
with
normothermia
or
fever
control.
A
systematic
review
32
trials
published
between
2001
2021
concluded
a
target
prevention
did
not
result
an
improvement
survival
(RR
1.08;
95%
CI
0.89–1.30)
favorable
functional
1.21;
0.91–1.61)
90–180
days
resuscitation.
There
was
substantial
heterogeneity
across
certainty
low.
Based
results,
International
Liaison
Committee
Resuscitation
currently
recommends
monitoring
core
actively
preventing
(37.7
°C)
for
least
72
h
from
Future
needed
to
identify
potential
patient
subgroups
may
benefit
aimed
comparing
Intensive Care Medicine,
Journal Year:
2024,
Volume and Issue:
50(8), P. 1275 - 1286
Published: July 11, 2024
Optimal
oxygenation
targets
for
patients
with
acute
hypoxemic
respiratory
failure
in
the
intensive
care
unit
(ICU)
are
not
clearly
defined
due
to
substantial
variability
design
of
previous
trials.
This
study
aimed
perform
a
pre-specified
individual
patient
data
meta-analysis
Handling
Oxygenation
Targets
ICU
(HOT-ICU)
and
coronavirus
disease
2019
(COVID-19)
(HOT-COVID)
trials
compare
targeting
partial
pressure
arterial
oxygen
(PaO2)
8–12
kPa
adult
patients,
assessing
both
benefits
harms.
We
assessed
90-day
all-cause
mortality
days
alive
without
life
support
90
using
generalised
mixed
model.
Heterogeneity
treatment
effects
(HTE)
was
evaluated
14
subgroups,
results
graded
Instrument
assess
Credibility
Effect
Modification
Analyses
(ICEMAN).
At
days,
40.4%
(724/1792)
8
group
40.9%
(733/1793)
12
(risk
ratio,
0.99;
95%
confidence
interval
[CI]
0.92–1.07;
P
=
0.80).
No
difference
observed
number
support.
Subgroup
analyses
indicated
more
COVID-19
(P
0.04)
(moderate
credibility),
lower
0.03)
0.02)
cancer-patients
(low
credibility).
reported
no
overall
differences
comparing
PaO2
target
on
or
days.
suggested
HTE
credibility)
cancer
Seminars in Neurology,
Journal Year:
2024,
Volume and Issue:
44(03), P. 342 - 356
Published: April 3, 2024
Abstract
The
utilization
of
Artificial
Intelligence
(AI)
and
Machine
Learning
(ML)
is
paving
the
way
for
significant
strides
in
patient
diagnosis,
treatment,
prognostication
neurocritical
care.
These
technologies
offer
potential
to
unravel
complex
patterns
within
vast
datasets
ranging
from
clinical
data
EEG
(electroencephalogram)
readings
advanced
cerebral
imaging
facilitating
a
more
nuanced
understanding
conditions.
Despite
their
promise,
implementation
AI
ML
faces
substantial
hurdles.
Historical
biases
training
data,
challenge
interpreting
multifaceted
streams,
“black
box”
nature
algorithms
present
barriers
widespread
adoption.
Moreover,
ethical
considerations
around
privacy
need
transparent,
explainable
models
remain
paramount
ensure
trust
efficacy
decision-making.
This
article
reflects
on
emergence
as
integral
tools
care,
discussing
roles
perspective
both
scientific
promise
associated
challenges.
We
underscore
importance
extensive
validation
diverse
settings
generalizability
models,
particularly
considering
inform
critical
medical
decisions
such
withdrawal
life-sustaining
therapies.
Advancement
computational
capabilities
essential
implementing
settings,
allowing
real-time
analysis
decision
support
at
point
As
are
poised
become
commonplace
practice,
it
incumbent
upon
health
care
professionals
understand
oversee
these
technologies,
ensuring
they
adhere
highest
safety
standards
contribute
realization
personalized
medicine.
engagement
will
be
pivotal
integrating
into
optimizing
outcomes
through
informed
data-driven
Acta Anaesthesiologica Scandinavica,
Journal Year:
2025,
Volume and Issue:
69(5)
Published: April 13, 2025
Fever
is
associated
with
brain
injury
after
cardiac
arrest.
It
unknown
whether
fever
management
a
feedback-controlled
device
impacts
patient-centered
outcomes
in
arrest
patients.
This
trial
aims
to
investigate
or
without
temperature
control
out-of-hospital
The
TEMP-CARE
part
of
the
2
×
factorial
Sedation,
TEmperature
and
Pressure
Cardiac
Arrest
REsuscitation
(STEPCARE)
trial,
randomized,
international,
multicenter,
parallel-group,
investigator-initiated,
superiority
that
will
evaluate
sedation
strategies,
management,
blood
pressure
targets
simultaneously
nontraumatic/nonhemorrhagic
patients
following
hospital
admission.
For
component
described
this
protocol,
be
randomly
allocated
device.
those
managed
device,
if
≥37.8°C
occurs
within
72
h
post-randomization
started
targeting
≤37.5°C.
Standard
treatment,
as
recommended
by
local
guidelines,
including
pharmacological
agents,
provided
participants
both
groups.
two
other
components
STEPCARE
strategies.
Apart
from
interventions,
all
aspects
general
intensive
care
according
practices
participating
site.
A
physician
blinded
intervention
determine
neurological
prognosis
European
Resuscitation
Council
Society
Intensive
Care
Medicine
guidelines.
primary
outcome
all-cause
mortality
at
six
months
post-randomization.
To
detect
5.6%
absolute
risk
reduction
(90%
power,
alpha
.05),
3500
enrolled.
Secondary
include
poor
functional
months,
care-related
serious
adverse
events,
overall
health
status
months.
post-cardiac
affects
patient-important
NEJM Evidence,
Journal Year:
2022,
Volume and Issue:
2(1)
Published: Dec. 14, 2022
BackgroundPediatric
out-of-hospital
cardiac
arrest
results
in
high
morbidity
and
mortality.
Currently,
there
are
no
recommended
therapies
beyond
supportive
care.
The
THAPCA-OH
(Therapeutic
Hypothermia
after
Pediatric
Cardiac
Arrest
Out-of-Hospital)
trial
compared
hypothermia
(33.0°C)
with
normothermia
(36.8°C)
295
children.
Good
neurobehavioral
outcome
survival
at
1
year
were
higher
the
group
(20
vs.
12%
38
29%,
respectively).
These
differences
did
not
meet
planned
statistical
threshold
of
P<0.05.
To
ensure
that
a
potentially
efficacious
therapy
is
prematurely
discarded,
we
reassessed
using
Bayesian
perspective.MethodsWe
performed
analysis,
interpreting
probabilistic
terms
(i.e.,
probability
therapeutic
had
any
benefit,
overall
absolute
improvements
greater
than
2%,
5%,
10%
for
1-year
survival).
Our
primary
analyses
used
noninformative
priors,
meaning
based
on
observed
data
without
information
added
by
priors.
In
absence
pediatric
trials
to
derive
informative
prior
distributions,
used:
(1)
downweighted
priors
from
adult
trials;
(2)
previously
published
set
critical
care
span
equipoise,
harm.ResultsIn
analyses,
benefit
was
94%
both
year.
For
outcomes,
>75%
all
integrations
results,
except
those
most
pessimistic
priors.ConclusionsThere
provides
modest
(ClinicalTrials.gov
number,
NCT00878644.)
Annals of Intensive Care,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Oct. 11, 2023
Out-of-hospital
cardiac
arrest
(OHCA)
is
a
heterogeneous
entity
with
multiple
origins
and
prognoses.
An
early,
reliable
assessment
of
the
prognosis
useful
to
adapt
therapeutic
strategy,
tailor
intensity
care,
inform
relatives.
We
aimed
primarily
undertake
prospective
multicentric
study
evaluate
predictive
performance
Cardiac
Arrest
Prognosis
(CAHP)
Score
as
compare
historical
dataset
systematically
collected
after
OHCA
(Utstein
style
criteria).
Our
secondary
aim
was
other
dedicated
scores
for
predicting
outcome
them
Utstein
criteria.