Does diabetes modify the triglyceride–glucose index associated with cardiovascular events and mortality? A meta-analysis of 50 cohorts involving 7,239,790 participants
Cardiovascular Diabetology,
Год журнала:
2025,
Номер
24(1)
Опубликована: Янв. 27, 2025
Abstract
Introduction
Previous
studies
highlighted
the
association
between
triglyceride–glucose
(TyG)
index
and
cardiovascular
events
in
patients
with
diabetes.
However,
whether
diabetes
affects
TyG-cardiovascular
diseases
(CVD)
is
still
unclear.
This
study
aimed
to
evaluate
TyG
CVD
risk,
stratified
by
status,
as
well
potential
modifying
effect
of
diabetic
status.
Methods/design
The
PubMed,
Cochrane
Library,
Embase
databases
were
searched
for
on
associations
mortality
without
from
inception
December
2,
2024.
random
effects
model
was
employed
pool
sizes.
Results
A
total
50
cohort
(7,239,790
participants)
included.
mean
age
participants
31.46
years
(diabetes
mellitus
[DM]:
65.18;
non-DM:
31.23),
40.66%
female
(DM:
36.07%;
40.70%).
(HR:
1.72
vs.
1.55,
P
=
0.55),
major
adverse
cerebrovascular
2.02
1.91,
0.84),
stroke
1.46
1.39,
0.77)
death
1.85
1.60,
0.56)
similar
among
DM
non-DM
individuals.
ischemic
heart
disease
(IHD)
2.20
1.57,
0.03)
all-cause
1.94
1.24,
0.01)
stronger
than
patients.
Conclusion
showed
events,
mortality,
independent
low
moderate
certainty.
IHD
individuals
Future
should
explore
role
index-associated
outcomes
mortality.
Graphical
abstract
Язык: Английский
Associations of triglyceride glucose-body mass index with short-term mortality in critically ill patients with ischemic stroke
Cardiovascular Diabetology,
Год журнала:
2025,
Номер
24(1)
Опубликована: Фев. 28, 2025
The
triglyceride
glucose-body
mass
index
(TyG-BMI)
has
been
established
as
a
convenient
and
reliable
marker
for
assessing
insulin
resistance
(IR)
shown
to
be
significantly
correlated
with
stroke.
However,
only
few
studies
have
conducted
in
this
field,
conflicting
conclusions.
This
study
based
on
the
eICU
database,
investigated
association
between
TyG-BMI
28-day
mortality
critically
ill
ischemic
stroke
(IS)
patients.
Multivariate
Cox
regression
models
were
employed
analyze
impacts
of
hospital
ICU
mortality.
Restricted
cubic
splines
(RCS)
applied
explore
nonlinear
relationship
K‒M
curves
utilized
outcome
comparisons
among
different
groups.
Additionally,
interaction
subgroup
analyses
performed
validate
robustness
results.
A
total
1,362
patients
IS
enrolled,
mean
age
68.41
±
14.16
years;
47.50%
male.
analysis
revealed
that,
high
group
had
higher
mortality(HR
=
1.734,
P
0.032)
(HR
2.337,
p
0.048).
RCS
showed
positive
correlation
Below
inflection
point
380.37,
each
increase
1
standard
deviation
(SD)
(approximately
25.5
units)
was
associated
37.3%
1.373,
0.015),
above
380.376,
1-SD
resulted
an
87.9%
decrease
0.121,
0.057).
log-likelihood
ratio
test
value
0.004.
For
mortality,
exhibited
significant
linear
RCS.
Elevated
is
increased
risk
short-term
all-cause
United
States.
result
provides
compelling
evidence
address
existing
discrepancies
research
domain,
indicating
that
could
serve
straightforward
efficient
biomarker
identifying
at
Язык: Английский