BMC Cardiovascular Disorders,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 8, 2025
Patients
with
atrial
fibrillation
are
at
risk
for
various
complications,
including
thromboembolic
events.
This
study
involves
developing
and
evaluating
a
Clinical
Decision
Support
System
(CDSS)
to
select
appropriate
anticoagulant
drug,
considering
comorbidities,
laboratory
data,
concurrent
medications.
The
system
is
based
on
streamlined
interpretation
of
the
most
recent
globally
accepted
clinical
guidelines.
Primarily
semi-structured
interview
regarding
challenges
in
field
thromboprophylaxis
AF
pharmacists
cardiologists'
needs
practice
was
conducted.
Then
required
data
were
extracted
from
latest
guidelines
confirmed
by
expert
panel.
Using
Microsoft
Visio
software
each
scenario
its
corresponding
rules
modeled.
Dart
programming
language,
Flutter
framework,
Visual
Studio
editor
used
develop
application.
Finally,
uMARS
questionnaire
evaluate
application
quality.
selection
anticoagulants
reported
be
challenging
domain
78.6%
participants
interview.
According
designed
algorithms,
developed
using
Asp.net
SQL
Server
database
platform.
CDSS
called
ACAFiB-APP,
which
stands
Anticoagulant
Application.
user
goes
through
calculators
obtains
moreover,
will
choose
one
or
more
comorbidities/clinical
scenarios.
ACAFiB-APP
represent
proper
options
dosing
related
considerations.
All
sections
received
acceptable
scores.
facilitate
informed
complicated
cases
patient
scenario.
Not
applicable.
КАРДИОЛОГИЯ УЗБЕКИСТАНА,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
aim
of
the
ARC-HBR
(Academic
Research
Consortium
for
High
Bleeding
Risk)
and
PRECISE-DAPT
(Predicting
Complications
in
Patients
Undergoing
Stent
Implantation
Subsequent
Dual
Antiplatelet
Therapy)
score
definitions
high
bleeding
risk
is
to
identify
patients
who
would
benefit
from
shorter
or
less
intensive
antiplatelet
therapy
after
coronary
stenting.
this
study
was
assess
performance
routine
clinical
practice.
Using
nationwide
registers,
all
Stockholm,
Sweden,
were
discharged
stenting
with
dual
(January
1,
2013,
July
2018)
included.
categorized
as
according
2
tools,
(BARC
[Bleeding
Academic
Consortium]
types
3-5
TIMI
major
minor)
ischemic
events
(myocardial
infarction
stroke)
within
1
year
discharge
assessed.
Of
7,562
patients,
proportions
27%
(2,004
7,562)
using
definition
38%
(2,894
score;
22%
(1,696
had
discordant
categorization
comparing
tools.
vs
without
higher
BARC
type
3
5
(1-year
7.1%
2.3%;
HR:
3.21;
95%
CI:
2.47-4.17)
(7.8%
2.8%;
2.96;
2.31-3.79).
minor
(4.4%
2.1%;
2.17;
1.63-2.89)
(6.2%
2.7%;
2.38;
1.85-3.05).
underestimated
across
almost
levels
(median
absolute
difference
between
observed
predicted
1-year
1.1%;
Q1-Q3:
0.8%-1.4%).
There
substantial
discordance
score.
Both
tools
identified
at
increased
risk,
but
those
also
risk.
Guideline-recommended
may
not
be
generalizable
patient
populations,
refined
scoring
systems
are
needed.
JACC Advances,
Journal Year:
2025,
Volume and Issue:
4(3), P. 101622 - 101622
Published: Feb. 15, 2025
In
the
COLCOT
(Colchicine
Cardiovascular
Outcomes
Trial)
and
LoDoCo2
(Low-Dose
Colchicine
2)
coronary
artery
disease
trials,
low-dose
colchicine
decreased
risk
of
major
adverse
cardiovascular
events
(MACEs)
by
23%
to
31%
beyond
statin
therapy
with
a
strong
safety
profile.
The
number
MACE
potentially
preventable
widespread
use
in
United
States
remains
uncertain.
objective
this
study
was
estimate
current
potential
impact
on
outcomes.
We
first
calculated
new
users
before
after
publication
at
an
integrated
health
care
system
southeastern
New
England
from
2018
2023.
Second,
we
estimated
avoidable
MACEs
using
incidence
rates
relative
reduction
trial
nationally
representative
National
Health
And
Nutrition
Examination
Survey
study.
From
January
December
2019
(before
publication),
varied
between
126
151
every
6
months.
2020
June
2023,
increased
141
181
months
(<1%
adults
Mass
General
Brigham).
Among
9.2
million
stable
States,
adding
standard
medical
management
is
prevent
226,000
over
3-year
period.
Adding
may
BMC Cardiovascular Disorders,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 8, 2025
Patients
with
atrial
fibrillation
are
at
risk
for
various
complications,
including
thromboembolic
events.
This
study
involves
developing
and
evaluating
a
Clinical
Decision
Support
System
(CDSS)
to
select
appropriate
anticoagulant
drug,
considering
comorbidities,
laboratory
data,
concurrent
medications.
The
system
is
based
on
streamlined
interpretation
of
the
most
recent
globally
accepted
clinical
guidelines.
Primarily
semi-structured
interview
regarding
challenges
in
field
thromboprophylaxis
AF
pharmacists
cardiologists'
needs
practice
was
conducted.
Then
required
data
were
extracted
from
latest
guidelines
confirmed
by
expert
panel.
Using
Microsoft
Visio
software
each
scenario
its
corresponding
rules
modeled.
Dart
programming
language,
Flutter
framework,
Visual
Studio
editor
used
develop
application.
Finally,
uMARS
questionnaire
evaluate
application
quality.
selection
anticoagulants
reported
be
challenging
domain
78.6%
participants
interview.
According
designed
algorithms,
developed
using
Asp.net
SQL
Server
database
platform.
CDSS
called
ACAFiB-APP,
which
stands
Anticoagulant
Application.
user
goes
through
calculators
obtains
moreover,
will
choose
one
or
more
comorbidities/clinical
scenarios.
ACAFiB-APP
represent
proper
options
dosing
related
considerations.
All
sections
received
acceptable
scores.
facilitate
informed
complicated
cases
patient
scenario.
Not
applicable.