American Journal of Preventive Cardiology,
Год журнала:
2022,
Номер
10, С. 100342 - 100342
Опубликована: Апрель 6, 2022
The
American
Society
for
Preventive
Cardiology
(ASPC)
"Ten
things
to
know
about
ten
cardiovascular
disease
risk
factors
-
2022"
is
a
summary
document
regarding
(CVD)
factors.
This
2022
update
provides
tables
of
10
CVD
and
builds
upon
the
foundation
prior
annual
versions
factors"
published
since
2020.
version
perspective
ASPC
members
includes
updated
sentinel
references
(i.e.,
applicable
guidelines
select
reviews)
each
factor
section.
include
unhealthful
dietary
intake,
physical
inactivity,
dyslipidemia,
pre-diabetes/diabetes,
high
blood
pressure,
obesity,
considerations
populations
(older
age,
race/ethnicity,
sex
differences),
thrombosis
(with
smoking
as
potential
contributor
thrombosis),
kidney
dysfunction
genetics/familial
hypercholesterolemia.
Other
may
be
relevant,
beyond
discussed
here.
However,
it
intent
provide
tabular
overview
most
common
preventive
cardiology
ready
access
reviews.
Background:
The
American
Heart
Association,
in
conjunction
with
the
National
Institutes
of
Health,
annually
reports
most
up-to-date
statistics
related
to
heart
disease,
stroke,
and
cardiovascular
risk
factors,
including
core
health
behaviors
(smoking,
physical
activity,
diet,
weight)
factors
(cholesterol,
blood
pressure,
glucose
control)
that
contribute
health.
Statistical
Update
presents
latest
data
on
a
range
major
clinical
circulatory
disease
conditions
(including
congenital
rhythm
disorders,
subclinical
atherosclerosis,
coronary
failure,
valvular
venous
peripheral
artery
disease)
associated
outcomes
quality
care,
procedures,
economic
costs).
Methods:
through
its
Epidemiology
Prevention
Statistics
Committee,
continuously
monitors
evaluates
sources
stroke
United
States
provide
current
information
available
annual
review
published
literature
year
before
writing.
2023
is
product
full
year’s
worth
effort
2022
by
dedicated
volunteer
clinicians
scientists,
committed
government
professionals,
Association
staff
members.
strives
further
understand
help
heal
problems
inflicted
structural
racism,
public
crisis
can
significantly
damage
mental
perpetuate
disparities
access
education,
income,
housing,
several
other
vital
healthy
lives.
This
edition
includes
additional
COVID-19
(coronavirus
2019)
publications,
as
well
monitoring
benefits
population,
an
enhanced
focus
equity
across
key
domains.
Results:
Each
chapters
focuses
different
topic
statistics.
Conclusions:
represents
critical
resource
for
lay
public,
policymakers,
media
clinicians,
care
administrators,
researchers,
advocates,
others
seeking
best
these
conditions.
The
American
Heart
Association,
in
conjunction
with
the
National
Institutes
of
Health,
annually
reports
most
up-to-date
statistics
related
to
heart
disease,
stroke,
and
cardiovascular
risk
factors,
including
core
health
behaviors
(smoking,
physical
activity,
diet,
weight)
factors
(cholesterol,
blood
pressure,
glucose
control)
that
contribute
health.
Statistical
Update
presents
latest
data
on
a
range
major
clinical
circulatory
disease
conditions
(including
congenital
rhythm
disorders,
subclinical
atherosclerosis,
coronary
failure,
valvular
venous
peripheral
artery
disease)
associated
outcomes
quality
care,
procedures,
economic
costs).
BACKGROUND:
The
American
Heart
Association
(AHA),
in
conjunction
with
the
National
Institutes
of
Health,
annually
reports
most
up-to-date
statistics
related
to
heart
disease,
stroke,
and
cardiovascular
risk
factors,
including
core
health
behaviors
(smoking,
physical
activity,
nutrition,
sleep,
obesity)
factors
(cholesterol,
blood
pressure,
glucose
control,
metabolic
syndrome)
that
contribute
health.
AHA
Disease
Stroke
Statistical
Update
presents
latest
data
on
a
range
major
clinical
circulatory
disease
conditions
(including
brain
health,
complications
pregnancy,
kidney
congenital
rhythm
disorders,
sudden
cardiac
arrest,
subclinical
atherosclerosis,
coronary
cardiomyopathy,
failure,
valvular
venous
thromboembolism,
peripheral
artery
disease)
associated
outcomes
quality
care,
procedures,
economic
costs).
METHODS:
AHA,
through
its
Epidemiology
Prevention
Statistics
Committee,
continuously
monitors
evaluates
sources
stroke
United
States
globally
provide
current
information
available
annual
review
published
literature
year
before
writing.
2024
is
product
full
year’s
worth
effort
2023
by
dedicated
volunteer
clinicians
scientists,
committed
government
professionals,
staff
members.
strives
further
understand
help
heal
problems
inflicted
structural
racism,
public
crisis
can
significantly
damage
mental
perpetuate
disparities
access
education,
income,
housing,
several
other
vital
healthy
lives.
This
edition
includes
additional
global
data,
as
well
monitoring
benefits
population,
an
enhanced
focus
equity
across
key
domains.
RESULTS:
Each
chapters
focuses
different
topic
statistics.
CONCLUSIONS:
represents
critical
resource
for
lay
public,
policymakers,
media
clinicians,
care
administrators,
researchers,
advocates,
others
seeking
best
these
conditions.
Statistics in Medicine,
Год журнала:
2021,
Номер
40(25), С. 5434 - 5452
Опубликована: Авг. 2, 2021
Multivariable
Mendelian
randomization
(MVMR)
is
a
form
of
instrumental
variable
analysis
which
estimates
the
direct
effect
multiple
exposures
on
an
outcome
using
genetic
variants
as
instruments.
and
MVMR
are
frequently
conducted
two‐sample
summary
data
where
association
with
obtained
from
separate
samples.
If
only
weakly
associated
either
individually
or
conditionally,
given
other
in
model,
then
standard
inverse
variance
weighting
will
yield
biased
for
each
exposure.
Here,
we
develop
conditional
F
‐statistic
to
test
whether
strongly
predict
exposure
included
model.
We
show
formally
that
this
equivalent
individual
level
‐statistic,
indicating
conventional
rule‐of‐thumb
critical
values
10,
can
be
used
weak
demonstrate
how
reliable
causal
presence
instruments
pleiotropy,
by
repurposing
commonly
heterogeneity
Q
estimating
equation.
Furthermore,
minimized
value
yields
exact
due
pleiotropy.
illustrate
our
methods
application
estimate
blood
lipid
fractions
age‐related
macular
degeneration.
Molecular Metabolism,
Год журнала:
2020,
Номер
42, С. 101092 - 101092
Опубликована: Окт. 1, 2020
Non-alcoholic
fatty
liver
disease
(NAFLD)
is
rapidly
becoming
a
global
health
problem.
Cardiovascular
diseases
(CVD)
are
the
most
common
cause
of
mortality
in
NAFLD
patients.
and
CVD
share
several
risk
factors
including
obesity,
insulin
resistance,
type
2
diabetes
(T2D).
Atherogenic
dyslipidemia,
characterized
by
plasma
hypertriglyceridemia,
increased
small
dense
low-density
lipoprotein
(LDL)
particles,
decreased
high-density
cholesterol
(HDL-C)
levels,
often
observed
patients.In
this
review,
we
highlight
recent
epidemiological
studies
evaluating
link
between
risk.
We
further
focus
on
mechanistic
insights
into
links
altered
metabolism.
also
discuss
current
therapeutic
strategies
for
their
potential
impact
NAFLD-associated
risk.Alterations
hepatic
lipid
metabolism
major
contributing
to
patients,
many
promising
NASH
therapies
development
improve
dyslipidemia
clinical
trials.
European Heart Journal,
Год журнала:
2023,
Номер
44(47), С. 4913 - 4924
Опубликована: Ноя. 3, 2023
Abstract
Large-scale
genome-wide
association
studies
conducted
over
the
last
decade
have
uncovered
numerous
genetic
variants
associated
with
cardiometabolic
traits
and
risk
factors.
These
discoveries
enabled
Mendelian
randomization
(MR)
design,
which
uses
variation
as
a
natural
experiment
to
improve
causal
inferences
from
observational
data.
By
analogy
random
assignment
of
treatment
in
randomized
controlled
trials,
segregation
alleles
when
DNA
is
transmitted
parents
offspring
at
gamete
formation
expected
reduce
confounding
associations.
analyses
make
set
assumptions
that
must
hold
for
valid
results.
Provided
are
well
justified
employed
instrumental
variables,
MR
can
inform
on
whether
putative
factor
likely
has
effect
disease
or
not.
been
increasingly
applied
recent
years
predict
efficacy
safety
existing
novel
drugs
targeting
cardiovascular
factors
explore
repurposing
potential
available
drugs.
This
review
article
describes
principles
design
some
applications
epidemiology.
Nature Genetics,
Год журнала:
2022,
Номер
54(8), С. 1155 - 1166
Опубликована: Июль 14, 2022
Abstract
Clonal
hematopoiesis
(CH),
the
clonal
expansion
of
a
blood
stem
cell
and
its
progeny
driven
by
somatic
driver
mutations,
affects
over
third
people,
yet
remains
poorly
understood.
Here
we
analyze
genetic
data
from
200,453
UK
Biobank
participants
to
map
landscape
inherited
predisposition
CH,
increasing
number
germline
associations
with
CH
in
European-ancestry
populations
4
14.
Genes
at
new
loci
implicate
DNA
damage
repair
(
PARP1
,
ATM
CHEK2
),
hematopoietic
migration/homing
CD164
)
myeloid
oncogenesis
SETBP1
).
Several
were
CH-subtype-specific
including
variants
TCL1A
that
had
opposite
DNMT3A
-
versus
TET2
-mutant
two
most
common
subtypes,
proposing
key
roles
for
these
development.
Mendelian
randomization
analyses
showed
smoking
longer
leukocyte
telomere
length
are
causal
risk
factors
increases
risks
myeloproliferative
neoplasia,
nonhematological
malignancies,
atrial
fibrillation
epigenetic
ageing.
PLoS Biology,
Год журнала:
2022,
Номер
20(2), С. e3001547 - e3001547
Опубликована: Фев. 25, 2022
Large-scale
molecular
profiling
and
genotyping
provide
a
unique
opportunity
to
systematically
compare
the
genetically
predicted
effects
of
therapeutic
targets
on
human
metabolome.
We
firstly
constructed
genetic
risk
scores
for
8
drug
basis
that
they
primarily
modify
low-density
lipoprotein
(LDL)
cholesterol
(HMGCR,
PCKS9,
NPC1L1),
high-density
(HDL)
(CETP),
or
triglycerides
(APOC3,
ANGPTL3,
ANGPTL4,
LPL).
Conducting
mendelian
randomisation
(MR)
provided
strong
evidence
an
effect
drug-based
coronary
artery
disease
(CAD)
with
exception
ANGPTL3.
then
estimated
each
score
249
metabolic
traits
derived
using
blood
samples
from
unprecedented
sample
size
up
115,082
UK
Biobank
participants.
Genetically
were
generally
consistent
among
targets,
which
intended
same
lipid
trait.
For
example,
linear
fit
MR
estimates
all
inhibition
LDL
lowering
HMGCR
PCSK9
was
r2
=
0.91.
In
contrast,
comparisons
between
classes
designed
discrete
typically
had
very
different
signatures
(for
instance,
versus
4
triglyceride
<
0.02).
Furthermore,
we
highlight
this
discrepancy
specific
traits,
finding
therapies
weak
glycoprotein
acetyls,
marker
inflammation,
whereas
modifying
assessed
levels
inflammatory
biomarker.
Our
findings
indicate
perturbations
these
metabolome
can
drastically
differ,
despite
largely
CAD,
potential
implications
biomarkers
in
clinical
development
measuring
treatment
response.