Abstract
Aims
Recent
trial
data
demonstrate
beneficial
effects
of
active
rhythm
management
in
patients
with
atrial
fibrillation
(AF)
and
support
the
concept
that
a
low
arrhythmia
burden
is
associated
risk
AF-related
complications.
The
aim
this
document
to
summarize
key
outcomes
9th
AFNET/EHRA
Consensus
Conference
Atrial
Fibrillation
NETwork
(AFNET)
European
Heart
Rhythm
Association
(EHRA).
Methods
results
Eighty-three
international
experts
met
Münster
for
2
days
September
2023.
Key
findings
are
as
follows:
(i)
Active
should
be
part
default
initial
treatment
all
suitable
AF.
(ii)
Patients
device-detected
AF
have
stroke.
Anticoagulation
prevents
some
strokes
also
increases
major
but
non-lethal
bleeding.
(iii)
More
research
needed
improve
stroke
prediction
AF,
especially
those
burden.
Biomolecules,
genetics,
imaging
can
this.
(iv)
presence
trigger
systematic
workup
comprehensive
concomitant
cardiovascular
conditions.
(v)
Machine
learning
algorithms
been
used
detection
or
likely
development
Cooperation
between
clinicians
scientists
leverage
potential
science
applications
Conclusions
lower
other
events
than
high
Combining
control,
anticoagulation,
rate
therapy
conditions
lives
Stroke,
Год журнала:
2023,
Номер
54(8), С. 2181 - 2191
Опубликована: Июнь 5, 2023
Cognitive
impairment
is
common
in
patients
with
cardiovascular
disease.
One
3
presenting
at
cardiology
clinics
have
some
degree
of
cognitive
impairment,
depending
on
the
cardiac
condition,
comorbidities,
and
age.
In
up
to
half
these
cases
may
go
unrecognized;
however,
it
affect
self-management
treatment
adherence.
The
high
prevalence
disease
likely
due
shared
risk
factors,
as
well
direct
consequences
dysfunction
brain.
Moreover,
interventions
beneficial
adverse
effects
functioning.
this
review,
we
describe
factors
for
several
conditions:
heart
failure,
coronary
artery
disease,
aortic
valve
stenosis.
We
discuss
potential
guideline-based
treatments
cognition
identify
open
questions
unmet
needs.
Given
unrecognized
patients,
recommend
a
stepwise
approach
improve
detection
management
impairment.
Cardiovascular Diabetology,
Год журнала:
2023,
Номер
22(1)
Опубликована: Янв. 31, 2023
Epicardial
adipose
tissue
(EAT)
plays
an
important
role
in
cardiometabolic
risk.
EAT
is
a
modifiable
risk
factor
and
could
be
potential
therapeutic
target
for
drugs
that
already
show
cardiovascular
benefits.
The
aim
of
this
study
to
evaluate
the
effect
on
reduction.A
detailed
search
related
reduction
due
drugs,
such
as
glucagon-like
peptide-1
receptor
agonist
(GLP-1
RA),
sodium-glucose
cotransporter-2
inhibitors
(SGLT2-i),
statins
was
conducted
according
PRISMA
guidelines.
Eighteen
studies
enrolling
1064
patients
were
included
qualitative
quantitative
analyses.All
three
analyzed
drug
classes,
particular
GLP-1
RA,
significant
RA
standardize
mean
difference
(SMD)
=
-
1.005;
p
<
0.001;
SGLT2-i
SMD
0.552;
0.001,
statin
0.195;
0.001).
sensitivity
analysis
showed
strongly
benefit
thickness
reduction,
measured
by
ultrasound
(overall
0.663;
95%CI
0.79,
0.52;
Meta-regression
revealed
younger
age
higher
BMI
modifiers
association
between
both
composite
thickness,
(age
Z:
3.99;
0.001
1.97;
respectively;
4.40;
2.85;
0.004,
respectively).Cardiometabolic
beneficial
reduction.
more
effective
than
SGLT2-i,
while
had
rather
mild
effect.
We
believe
most
treatment
with
these
should
high
BMI.
Abstract
Aims
Recent
trial
data
demonstrate
beneficial
effects
of
active
rhythm
management
in
patients
with
atrial
fibrillation
(AF)
and
support
the
concept
that
a
low
arrhythmia
burden
is
associated
risk
AF-related
complications.
The
aim
this
document
to
summarize
key
outcomes
9th
AFNET/EHRA
Consensus
Conference
Atrial
Fibrillation
NETwork
(AFNET)
European
Heart
Rhythm
Association
(EHRA).
Methods
results
Eighty-three
international
experts
met
Münster
for
2
days
September
2023.
Key
findings
are
as
follows:
(i)
Active
should
be
part
default
initial
treatment
all
suitable
AF.
(ii)
Patients
device-detected
AF
have
stroke.
Anticoagulation
prevents
some
strokes
also
increases
major
but
non-lethal
bleeding.
(iii)
More
research
needed
improve
stroke
prediction
AF,
especially
those
burden.
Biomolecules,
genetics,
imaging
can
this.
(iv)
presence
trigger
systematic
workup
comprehensive
concomitant
cardiovascular
conditions.
(v)
Machine
learning
algorithms
been
used
detection
or
likely
development
Cooperation
between
clinicians
scientists
leverage
potential
science
applications
Conclusions
lower
other
events
than
high
Combining
control,
anticoagulation,
rate
therapy
conditions
lives
