Technology and Health Care,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 12
Published: May 22, 2024
BACKGROUND:
Despite
the
considerable
progress
made
in
preventative
methods,
medication,
and
interventional
therapies,
it
remains
evident
that
cardiovascular
events
(CVEs)
continue
to
be
primary
cause
of
both
death
morbidity
among
individuals
diagnosed
with
coronary
artery
disease
(CAD).
OBJECTIVE:
To
compare
connection
between
lipoprotein
a
(Lp[a]),
fibrinogen
(Fib),
parameters
combined
all-cause
mortality
detect
their
value
as
prognostic
biomarkers.
METHODS:
This
is
retrospective
study.
Patients
CAD
January
2007
December
2020
at
Guangdong
Provincial
People’s
Hospital
(China)
were
involved
43,367
patients
met
eligibility
criteria.
The
Lp(a)
Fib
levels
distributed
into
three
tertile
groups
(low,
medium,
high).
All
included
study
followed
up
for
mortality.
Kaplan–Meier
Cox
regression
performed
determine
relationship
Lp(a),
Fib,
A
concordance
statistics
model
was
developed
impact
terms
anticipating
poor
outcomes
CAD.
RESULTS:
Throughout
median
follow-up
67.0
months,
6,883
(15.9%)
died.
Participants
high
(above
27.60
mg/dL)
had
significantly
higher
risk
than
low
(below
11.13
mg/dL;
adjusted
hazard
ratio
[aHR]
1.219,
95%
confidence
interval
[CI]:
1.141–1.304,
p<
0.001).
Similarly,
4.32
g/L)
greater
developing
compared
those
reduced
3.41
g/L;
aHR
1.415,
CI:
1.323–1.514,
raised
maximum
(aHR
1.702;
1.558–1.859,
When
considered
together,
caused
significant
elevation
statistic
by
0.009
(p<
0.05),
suggesting
predicting
when
combining
two
indicators.
CONCLUSION:
High
could
used
predictive
biomarkers
prediction
accuracy
improved
after
parameters.
European Heart Journal,
Journal Year:
2024,
Volume and Issue:
45(14), P. 1209 - 1223
Published: Feb. 7, 2024
Cardiologists
are
encountering
a
growing
number
of
cancer
patients
with
ischaemic
heart
disease
(IHD).
Several
factors
account
for
the
interrelationship
between
these
two
conditions,
in
addition
to
improving
survival
rates
population.
Established
cardiovascular
(CV)
risk
factors,
such
as
hypercholesterolaemia
and
obesity,
predispose
both
IHD
cancer,
through
specific
mechanisms
via
low-grade,
systemic
inflammation.
This
latter
is
also
fuelled
by
clonal
haematopoiesis
indeterminate
potential.
Furthermore,
experimental
work
indicates
that
can
promote
one
another,
CV
or
metabolic
toxicity
anticancer
therapies
lead
IHD.
The
connections
reinforced
social
determinants
health,
non-medical
modify
health
outcomes
comprise
individual
societal
domains,
including
economic
stability,
educational
healthcare
access
quality,
neighbourhood
built
environment,
community
context.
Management
often
challenging,
due
atypical
presentation,
increased
bleeding
risk,
worse
compared
without
cancer.
decision
proceed
coronary
revascularization
choice
antithrombotic
therapy
be
difficult,
particularly
chronic
syndromes,
necessitating
multidisciplinary
discussion
considers
general
guidelines
features
on
case
basis.
Randomized
controlled
trial
evidence
very
limited
there
urgent
need
more
data
inform
clinical
practice.
Therefore,
coexistence
raises
important
scientific
practical
questions
call
collaborative
efforts
from
cardio-oncology,
cardiology,
oncology
communities.
JACC. Cardiovascular imaging,
Journal Year:
2024,
Volume and Issue:
17(12), P. 1445 - 1459
Published: Aug. 14, 2024
The
longitudinal
relation
between
coronary
artery
disease
(CAD)
polygenic
risk
score
(PRS)
and
long-term
plaque
progression
high-risk
(HRP)
features
is
unknown.
goal
of
this
study
was
to
investigate
the
impact
CAD
PRS
on
HRP.
Patients
underwent
measurement
prospective
serial
computed
tomography
angiography
(CTA)
imaging.
Coronary
CTA
scans
were
analyzed
with
a
previously
validated
artificial
intelligence–based
algorithm
(atherosclerosis
imaging–quantitative
imaging).
relationship
change
in
percent
atheroma
volume
(PAV),
noncalcified
progression,
HRP
prevalence
investigated
linear
mixed-effect
models
adjusted
for
baseline
conventional
factors.
A
total
288
subjects
(mean
age
58
±
7
years;
60%
male)
included
median
scan
interval
10.2
years.
At
baseline,
patients
high
had
more
than
5-fold
higher
PAV
those
low
(10.4%
vs
1.9%;
P
<
0.001).
Per
10
years
follow-up,
1
SD
increase
associated
0.69%
multivariable
model.
provided
additional
discriminatory
benefit
above-median
during
follow-up
when
added
model
factors
(AUC:
0.73
0.69;
=
0.039).
an
OR
2.85
(95%
CI:
1.14-7.14;
0.026)
6.16
2.55-14.91;
0.001)
having
at
compared
PRS.
Polygenic
strongly
future
suspected
CAD.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
2(1)
Published: Jan. 13, 2025
Abstract
Atherosclerotic
cardiovascular
disease
(ASCVD)
remains
the
leading
cause
of
death
in
world.
However,
advances
genetics,
omics
research,
machine
learning
(ML),
and
precision
medicine
have
inspired
revolutionary
new
tools
ASCVD
risk
stratification.
Together,
polygenic
scores
(PRS)
composite
ML-based
algorithms
help
shift
paradigm
away
from
binary
predictions
towards
more
comprehensive
continuum
models.
Continued
efforts
are
needed
to
address
socioeconomic
racial
disparities
PRS
space.
JAMA Network Open,
Journal Year:
2025,
Volume and Issue:
8(1), P. e2455368 - e2455368
Published: Jan. 21, 2025
Importance
Disease
characteristics
of
genetically
mediated
coronary
artery
disease
(CAD)
on
angiography
and
the
association
genomic
risk
with
outcomes
after
are
not
well
understood.
Objective
To
assess
angiographic
post–coronary
patients
drivers
CAD:
familial
hypercholesterolemia
(FH),
high
polygenic
score
(PRS),
clonal
hematopoiesis
indeterminate
potential
(CHIP).
Design,
Setting,
Participants
A
retrospective
cohort
study
3518
Mass
General
Brigham
Biobank
participants
information
who
underwent
was
conducted
between
July
18,
2000,
August
1,
2023.
Exposures
The
presence
a
factor
CAD,
defined
as
FH
variant,
CAD
PRS,
or
CHIP
driver
variation.
Main
Outcomes
Measures
Coronary
presentation
(stable
acute),
(severity
burden),
(repeat
angiogram,
revascularization,
in-stent
restenosis),
clinical
(heart
failure
all-cause
mortality).
Results
Among
(2467
[70.1%]
male;
median
age,
64.0
[IQR,
55.0-72.0]
years),
1509
(42.9%)
had
at
least
1
(26
FH,
1191
466
CHIP)
that
associated
acute
syndromes
(adjusted
odds
ratio,
2.67;
95%
CI,
2.19-3.26)
presence,
burden,
severity
CAD.
This
driven
by
PRS.
One
SD
PRS
12.51-point
higher
Gensini
score.
During
9
years
follow-up,
there
an
increased
among
carriers
for
repeat
angiogram
hazard
ratio
[AHR],
1.70;
1.02-2.83),
revascularization
(AHR,
1.97;
1.02-3.80),
people
angiogram:
AHR,
1.79;
1.45-2.22;
revascularization:
1.85;
1.37-2.50;
restenosis:
3.89;
2.16-7.01).
no
significant
increase
in
but
were
heart
1.58;
1.04-2.40)
mortality
1.78;
1.47-2.16).
Conclusions
Relevance
findings
this
suggest
germline
monogenic
presentation,
burden
atherosclerosis,
restenosis.
variant
status
is
incident
angiography.
JMIR Aging,
Journal Year:
2025,
Volume and Issue:
8, P. e64374 - e64374
Published: Jan. 15, 2025
Abstract
Background
Serum
levels
of
silent
information
regulator
6
(SIRT6),
a
key
biomarker
aging,
were
identified
as
predictor
coronary
artery
disease
(CAD),
but
whether
SIRT6
can
distinguish
severity
lesions
in
older
adult
patients
is
unknown.
Objectives
This
study
developed
nomogram
to
demonstrate
the
functionality
assessing
atherosclerosis.
Methods
Patients
aged
60
years
and
with
angina
pectoris
screened
for
this
single-center
clinical
between
October
1,
2022,
March
31,
2023.
specimens
eligible
collected
detection
by
enzyme-linked
immunosorbent
assay.
Clinical
data
putative
predictors,
including
29
physiological
characteristics,
biochemical
parameters,
carotid
ultrasonographic
results,
complete
angiography
findings,
evaluated,
CAD
diagnosis
primary
outcome.
The
was
derived
from
Extreme
Gradient
Boosting
(XGBoost)
model,
logistic
regression
variable
selection.
Model
performance
assessed
examining
discrimination,
calibration,
use
separately.
A
10-fold
cross-validation
technique
used
compare
all
models.
models’
further
evaluated
on
internal
validation
set
ensure
that
obtained
results
not
due
overoptimization.
Results
Eligible
(n=222)
divided
into
2
cohorts:
development
cohort
(n=178)
(n=44).
both
an
independent
risk
factor
adults.
area
under
receiver
operating
characteristic
curve
(AUROC)
0.725
(95%
CI
0.653‐0.797).
optimal
cutoff
value
predicting
546.384
pg/mL.
Predictors
included
serum
levels,
triglyceride
glucose
(TyG)
index,
apolipoprotein
B.
model
achieved
AUROC
0.956
0.928‐0.983)
cohort.
Similarly,
cohort,
0.913
0.828‐0.999).
All
models
demonstrated
satisfactory
predicted
outcomes
closely
aligning
actual
results.
Conclusions
shows
promise
CAD,
enhanced
predictive
abilities
when
combined
TyG
index.
In
settings,
monitoring
fluctuations
may
offer
valuable
insights
early
detection.
outcome
prediction
aid
trial
design
personalized
decision-making,
particularly
institutions
where
being
explored
aging
or
cardiovascular
health.
Frontiers in Pharmacology,
Journal Year:
2025,
Volume and Issue:
16
Published: Jan. 29, 2025
Background
Coronary
artery
disease
(CAD)
is
the
leading
cause
of
death
worldwide,
and
inflammation
a
significant
factor
in
its
development.
While
hemoglobin-to-red
blood
cell
distribution
width
ratio
(HRR),
an
indicator
inflammation,
has
been
linked
to
various
diseases,
association
with
CAD
not
well
established.
Methods
We
conducted
analysis
using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
spanning
2011
2018.
After
excluding
participants
due
age,
missing
data,
potential
confounding
factors,
6,881
individuals
were
included
our
study.
was
identified
through
self-reported
questionnaires,
HRR
determined
laboratory
measurements.
controlled
for
factors
such
as
hypertension,
waist
circumference,
systolic
pressure,
fasting
plasma
glucose,
others
logistic
regression
explore
relationship
between
CAD.
Results
found
that
higher
levels
associated
lower
risk
In
fully
adjusted
model,
odds
ratios
second,
third,
fourth
quartiles
0.38,
0.42,
0.51,
respectively,
compared
first
quartile
(P
<
0.001).
An
increase
by
one
unit
49%
decrease
likelihood
Furthermore,
linear
models
indicated
74%
reduction
each
one-unit
=
0.0002).
There
notable
threshold
at
1.02;
beyond
this
point,
91%
odds.
This
suggests
above
1.02,
strategies
body
water
content
reduce
viscosity
could
potentially
their
developing
Conclusion
Our
study
revealed
inverse
risk,
indicating
may
serve
protective
against
BMC Psychiatry,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Feb. 11, 2025
Psychiatric
disorders
have
been
reported
to
influence
many
health
outcomes,
but
evidence
about
their
impact
on
chronic
kidney
disease
(CKD)
has
not
fully
explored,
as
well
possible
mechanisms
implicated
are
still
unclear.
Four
hundred
forty-one
thousand
eight
ninety-three
participants
from
UK
Biobank
were
included
in
this
study.
To
assess
the
association
between
psychiatric
mainly
including
depression,
anxiety,
stress-related
disorders,
substance
misuse
psychotic
disorder,
and
CKD,
a
Cox
regression
model
using
age
underlying
time
scale
was
employed.
This
approach
considers
progression
of
beginning
end
study
elapsed
time.
Flexible
nonparametric
smoothing
conducted
illustrate
temporal
patterns.
Subgroup
analyses
performed
by
stratification
gender,
genetic
susceptibility
at
entry
or
exit
cohort,
follow-up
duration,
number
baseline.
Mediation
analysis
implemented
evaluate
roles
body
mass
index
(BMI),
hypertension,
diabetes.
Compared
with
individuals
without
an
increased
risk
CKD
observed
patients
(hazard
ratios
(HR)
=
1.52,
95%
confidence
intervals
(CI):
1.40–1.65,
p-value
<
0.001).
The
hazard
ratio
among
gradually
increased,
became
significant
after
10
years
follow-ups.
HR
for
followed
up
10–12
1.60
(95%
CI:
1.34–1.91,
0.001),
1.66
1.29–2.13,
0.001)
12–13
years.
Five
distinct
found
be
significantly
associated
developing
CKD.
highest
disorder
(HR
1.95,
95%CI:
1.28–2.97,
0.002).
When
adjusting
1.86
(95%CI:
1.14–3.04,
0.013).
Although
these
associations
nominally
significant,
they
did
reach
statistical
significance
applying
Bonferroni
multiple
corrections,
potentially
due
limited
sample
size.
revealed
that
who
under
60,
morbidities
having
diagnosed
over
may
high-risk
populations.
Hypertension,
BMI
diabetes
mediated
49.13%
37.60%-67.08%),
12.11%
8.49%-17.24%)
3.78%
1.58%-6.52%)
total
effect,
respectively.
delayed
onset
elevated
only
more
than
Our
highlights
lifestyle
interventions,
routine
monitoring
function,
early
screening
personalized
management
strategies
potential
approaches
precise
prevention