Post-procedural Plasma D-dimer Level May Predict Futile Recanalization in Stroke Patients with Endovascular Treatment
Journal of Stroke and Cerebrovascular Diseases,
Год журнала:
2025,
Номер
unknown, С. 108248 - 108248
Опубликована: Янв. 1, 2025
High
D-dimer
levels
may
increase
the
likelihood
of
unfavorable
clinical
outcomes
in
patients
with
acute
ischemic
stroke.
However,
impacts
serum
on
reperfusion
treatment
stroke
have
not
been
evaluated.
This
study
aims
to
assess
a
possible
relationship
between
and
functional
endovascular
(EVT).
Patients
who
underwent
successful
EVT
were
enrolled.
Plasma
was
measured
before
within
6
hours
after
procedures.
Futile
recanalization
defined
as
modified
Rankin
Scale
score
3-6
at
90
days
onset.
Multivariable
logistic
regression
analyses
performed
determine
relationships
futile
recanalization.
Of
161
enrolled
patients,
78
(48.4%)
classified
After
adjusting
for
potential
confounders,
high
post-procedural
level
associated
(odds
ratio,
1.25;
95%
CI,
1.05-1.51;
P
=0.016).
In
recanalization,
change
increased
significantly
(P
<0.001).
Furthermore,
1.33;
1.11-1.65;
=0.005)
independently.
plasma
significant
predict
Язык: Английский
Cerebral Edema Progression and Outcomes in Large Infarct Patients Undergoing Endovascular Thrombectomy
Annals of Neurology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Objective
The
goal
was
to
analyze
the
progression
of
cerebral
edema
post‐endovascular
thrombectomy
(EVT)
in
large
infarcts
and
its
association
with
functional
outcomes.
Methods
A
secondary
analysis
Endovascular
Therapy
Acute
Anterior
Circulation
Large
Vessel
Occlusive
Patients
a
Infarct
Core
trial
conducted
patients
ischemic
cores
randomized
receive
either
EVT
or
medical
management
(MM)
alone.
who
had
follow‐up
imaging
within
7
days
post‐randomization
were
involved.
primary
outcome
midline
shift
(MLS).
Mediation
performed
as
independent
variable,
MLS
mediator,
modified
Rankin
scale
scores
at
90
served
endpoint.
An
exploratory
on
net
water
uptake
(ΔNWU).
Results
Of
434
patients,
median
age
66.0
years
(standard
deviation
[SD],
9.9),
61.3%
(266)
being
males.
associated
an
early
increase
24
(±12)
hours
after
randomization
(mean
3.0
[4.2]
vs
2.4
[3.6]mm;
p
=
0.03)
compared
MM
group,
partially
mediating
poorer
outcomes
post‐EVT
(mediation
proportion,
−25%;
95%
CI,
−46.54
−4.10),
but
did
not
negate
overall
efficacy
thrombectomy.
NWU
remained
slower
throughout
days,
inconsistent
MLS.
Interpretation
In
infarct
cores,
increased
mass
effect
MM,
potentially
Despite
evident
benefits
from
thrombectomy,
accurate
prediction
effective
anti‐edema
interventions
for
may
further
improve
complex
relationship
between
warrants
investigation.
ANN
NEUROL
2025
Язык: Английский
Age‐Specific Differences in Inflammatory Biomarkers and Their Impact on Futile Recanalization After Mechanical Thrombectomy: An Inverse Probability Weighting Analysis
European Journal of Neurology,
Год журнала:
2025,
Номер
32(5)
Опубликована: Май 1, 2025
ABSTRACT
Background
Mechanical
thrombectomy
(MT)
is
the
standard
treatment
for
large
vessel
occlusion
(LVO)
stroke.
However,
a
substantial
proportion
of
patients
experience
poor
functional
outcomes
despite
successful
reperfusion,
namely
futile
recanalization
(FR).
This
study
aimed
to
evaluate
predictive
value
inflammatory
biomarkers,
measured
on
admission
and
at
24
h,
in
identifying
risk
FR
assess
age‐specific
differences
influencing
this
outcome.
Methods
international,
multicenter,
observational
included
with
anterior
circulation
LVO
stroke
treated
MT.
Strict
inclusion
criteria
were
applied
minimize
confounding
factors
related
inflammation.
Inflammatory
biomarkers
assessed
h
post‐procedure.
Inverse
probability
weighting
(IPW)
was
utilized
balance
baseline
characteristics
between
effective
(ER).
Least
absolute
shrinkage
selection
operator
(LASSO)
regression
identify
independent
predictors,
restricted
cubic
splines
used
determine
optimal
biomarker
cut‐offs.
Results
Among
885
patients,
470
(53%)
experienced
FR.
In
multivariate
analysis,
24‐h
CRP
(OR
1.01,
95%
CI
1.01–1.02,
p
=
0.018)
NLR
1.11,
1.02–1.22,
0.019)
significant
predictors
FR,
cut‐offs
8.55
4.58,
respectively.
aged
<
80
years,
most
(cut‐offs:
17.09
5.59).
≥
SIRI
emerged
as
predictor
1.24,
1.06–1.50,
0.015),
an
cut‐off
2.53.
Conclusions
exhibit
following
MT,
distinct
patterns.
These
findings
underscore
importance
tailoring
models
interventions
optimize
clinical
outcomes.
Язык: Английский