Evaluating the Prognostic Value of the Triglyceride–Glucose Index in Different Populations: A Critical Analysis
Nutrients,
Год журнала:
2025,
Номер
17(7), С. 1124 - 1124
Опубликована: Март 24, 2025
Background/Objectives:
Recent
studies
have
highlighted
the
Triglyceride-Glucose
Index
(TYG)
as
a
significant
risk
factor
for
mortality
and
co-morbidities
in
various
populations,
including
those
with
type
2
diabetes
mellitus
(T2DM)
cardiovascular
diseases.
However,
its
prognostic
role
obese
individuals
remains
less
clear.
Methods:
Utilizing
data
from
an
cohort
of
1359
subjects
1999-2004
cycles
National
Health
Nutrition
Examination
Survey
(NHANES)
15,267
subjects,
this
study
investigates
value
TYG
blood
glucose
relation
to
age
sex
other
factors
such
metabolic
syndrome,
Charlson
Comorbidity
Index,
T2DM
tolerance,
predicting
among
subjects.
Over
median
follow-up
about
13
years,
11.3%
20.6%
NHANES
died.
Our
findings
indicate
that
while
are
significantly
related
mortality,
they
offer
only
modest
improvements
over
models
incorporating
age,
sex,
showed
power
76.1%
86.0%
respective
cohorts.
Conclusions:
These
results
suggest
holds
potential
biomarker,
utility
beyond
established
requires
further
validation
clinical
settings.
Язык: Английский
Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis
Frontiers in Nutrition,
Год журнала:
2025,
Номер
12
Опубликована: Май 8, 2025
The
American
Heart
Association
recently
introduced
the
concept
of
Cardiovascular-Kidney-Metabolic
Syndrome
(CKM),
emphasizing
interplay
between
metabolic
disorders,
cardiovascular
diseases,
and
kidney
diseases.
Although
insulin
resistance
(IR)
chronic
inflammation
are
core
drivers
CKM,
relationships
causing
imbalance
have
not
been
fully
evaluated.
Emerging
biomarkers
(RAR,
NPAR,
SIRI,
Homair)
offer
multidimensional
prediction
capabilities
by
simultaneously
assessing
nutritional
metabolism,
cellular
inflammation,
in
diabetes.
This
study
included
data
from
19,884
participants
National
Health
Nutrition
Examination
Survey
(NHANES)
1999
to
2018.
developed
novel
indices
assessed
their
CKM
predictive
value
through:
Multivariable
logistic/Cox
regression;
Restricted
cubic
splines;
Machine
learning
(XGBoost,
LightGBM);
Decision
curve
analysis.
Subgroup
analyses
were
conducted
assess
interactive
effects
on
specific
populations.
After
weighted
analysis,
multi-model
logistic
regression
showed
that
RAR,
Homair
remained
strongly
correlated
with
after
adjusting
for
various
factors
(p
<
0.05),
RAR
showing
most
pronounced
relationship
(OR:
2.73,
95%
CI:
2.07-3.59,
p
0.001).
RCS
curves
revealed
nonlinear
these
outcomes
(nonlinear
0.05).
In
Cox
regression,
NPAR
associated
all-cause
mortality
was
linked
all-cause,
disease
(CVD),
strongest
link
2.38,
1.98-2.88,
ranked
as
top
predictors
diagnosis.
DCA
model
further
validated
three
Lasso-selected
variables,
clinical
utility.
combining
diabetes
mellitus
(DM),
age
demonstrated
outstanding
performance
(AUC
=
0.907),
offering
reference
value.
demonstrates
significant
five
stages
robust
association.
DCA-confirmed
high
translatability
a
standalone
predictor
risk
stratification.
Язык: Английский
Association between cumulative changes of the triglyceride glucose index and incidence of stroke in a population with cardiovascular-kidney-metabolic syndrome stage 0–3: a nationwide prospective cohort study
Cardiovascular Diabetology,
Год журнала:
2025,
Номер
24(1)
Опубликована: Май 12, 2025
The
triglyceride-glucose
(TyG)
index
was
associated
with
higher
risk
of
mortality
in
individuals
Cardiovascular-Kidney-Metabolic
(CKM)
syndrome
stages
0-3.
However,
the
relationship
between
cumulative
TyG
(cumTyG)
and
incidence
stroke
remains
unclear
CKM
Participants
stage
0-3
were
enrolled
from
China
Health
Retirement
Longitudinal
Study
(CHARLS)
2011
to
2015.
calculated
as
ln
[fasting
triglyceride
(mg/dL)×fasting
glucose
(mg/dL)/2],
cumTyG,
an
area-under-the-curve
estimate
(mean
×
time
span),
(TyG2012
+
2015)/2
*
(2015-2012).
control
levels
classified
using
k-mean
clustering
analysis.
Logistic
regression
used
analyze
effect
cumTyG
on
stroke.
Restricted
cubic
spline
models
(RCS)
performed
explore
potential
non-linear
at
different
A
total
4,700
participants
enrolled,
among
280
patients
had
developed
during
3-year
follow-up
period.
After
adjusting
for
confounders,
compared
class
1
group,
odds
ratio
(OR)
incidents
2
1.39
[95%
confidence
interval
(CI)
1.003,
1.92],
P
=
0.046;
OR
3
1.28
(95%
CI
0.92-1.77),
0.147,
4
0.84-1.94),
0.238.
Elevated
increase
(OR
1.13,
95%
1.05,
1.22,
0.002).
linear
restricted
regression.
increased
events
population
Long-term
dynamic
monitoring
changes
may
help
early
identification
high
developing
Язык: Английский