Cardiovascular Diabetology,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: Jan. 22, 2025
Insulin
resistance
(IR)
is
a
central
pathophysiological
factor
in
metabolic
syndrome
(MetS)
and
an
essential
driver
of
cardiovascular
disease
(CVD)
mortality.
The
estimated
glucose
disposal
rate
(eGDR)
reliable
marker
IR
has
been
associated
with
CVD
prognosis.
This
study
aims
to
examine
the
relationship
between
eGDR,
MetS,
their
predictive
roles
clinical
outcomes.
Data
from
NHANES
(2001–2018)
were
utilized,
cross-sectional
design
applied
evaluate
association
eGDR
MetS
prevalence,
cohort
employed
for
mortality
follow-up.
Weighted
logistic
regression
models
used
MetS.
Cox
proportional
hazard
assess
link
both
all-cause
To
non-linear
associations
outcomes,
restricted
cubic
spline
(RCS)
analysis
was
applied.
Additionally,
performance
other
indices
(TyG,
HOMA-IR),
assessed
using
C-statistic.
A
robust
negative
prevalence
found,
following
full
covariate
adjustment
(p
<
0.001).
core
findings
consistent
across
subgroups
(all
p
indicated
that
individuals
each
standard
deviation
(SD)
increment
11%
18%
decrement
risk
mortality,
respectively.
RCS
displayed
while
linear
C-statistic
showed
compared
TyG
index
HOMA-IR,
significantly
improved
power
=
0.007).
strongly
predicts
Compared
offers
superior
value
highlighting
its
potential
as
useful
tool
assessment.
Estimated
glucose
disposal
rate
(eGDR),
is
an
index
of
insulin
resistance.
It
intimately
correlated
with
inflammation
and
endothelial
dysfunction,
both
which
are
contributory
factors
in
the
pathogenesis
cardiovascular
disease
(CVD)
premature
mortality.
This
study
aims
to
explore
correlation
between
eGDR
all-cause
CVD-related
mortality
adults
metabolic
syndrome
(MetS).
A
total
8215
subjects
MetS
screened
from
National
Health
Nutrition
Examination
Survey
(NHANES)
during
period
1999
2018
were
evaluated
for
predictive
value
CVD
Over
a
median
follow-up
8.3
years,
1537
deaths
(18.7%)
467
(5.7%)
recorded.
Logistic
regression
analyses
revealed
significant
inverse
risk
having
(OR:0.845,
95%CI:0.807-0.884,
p
<
0.01).
Multivariate
Cox
analysis
restricted
cubic
splines
demonstrated
that
non-linearly
(HR:
0.906,
95%
CI:
0.850-0.967,
=
0.003)
0.944,
0.912-0.977,
0.001),
identified
inflection
point
at
5.918.
Further
subgroup
indicated
more
pronounced
individuals
under
60
years
old
0.893,
95%CI:0.823-0.970)
or
those
obesity
(HR:0.891,
95%CI:0.839-0.946).
Mediation
neutrophil
lymphocyte
ratio
mediated
8.9%
demonstrates,
first
time,
decrease
associated
increased
MetS.
The
indices
could
serve
as
surrogate
biomarkers
monitoring
patients
Estimated
glucose
disposal
rate
(eGDR)
is
considered
as
a
reliable
alternative
indicator
of
insulin
resistance.
However,
the
relationship
between
eGDR
levels
and
mortality
among
individuals
with
cardiometabolic
syndrome
(CMS),
well
within
different
metabolic
states
in
this
population,
remains
unclear.
We
conducted
cohort
study
on
9928
CMS
participants
from
National
Health
Nutrition
Examination
Survey
(NHANES)
database
1999
to
2018.
The
population
was
evaluated
using
multivariable
Cox
proportional
hazards
regression
models
restricted
cubic
splines
(RCS).
Finally,
stratified
analysis
performed
determine
subgroups.
showed
significant
correlation
both
all-cause
cause-specific
entire
(all
p
<
0.05).
RCS
revealed
non-linear
(p
for
overall
0.001,
0.001)
diabetes
specific
=
0.004)
while
linear
cardiovascular
0.091).
In
baseline
mellitus
(DM),
were
significantly
correlated
mortality,
pre-diabetes
(Pre-DM),
cardiovascular-specific
diabetes-specific
normal
regulation
(NGR),
only
related
There
population.
Furthermore,
protective
effect
high
persists
across
various
states.
Frontiers in Nutrition,
Journal Year:
2025,
Volume and Issue:
12
Published: March 24, 2025
Metabolic
syndrome
(MS)
is
a
complex
metabolic
disorder
that
often
closely
associated
with
the
development
of
chronic
diseases
such
as
cardiovascular
disease
and
diabetes.
This
study
aimed
to
explore
relationship
between
estimated
glucose
rate
(eGDR)
MS.
The
correlation
eGDR
levels
prevalence
was
analyzed
here
based
on
data
from
National
Health
Nutrition
Examination
Survey
2005
2020.
sample
consisted
63,131
adult
participants,
results
showed
lower
were
significantly
higher
syndrome.
Further
regression
analyses
acted
protective
factor
risk
MS
decreased
its
level
increased.
Subgroup
this
trend
held
across
gender,
age,
BMI
categories,
effect
weaker
in
group.
Based
nonlinear
subjects’
prevalence,
RCS
further
confirmed
significant
increased
In
conclusion,
present
suggests
could
serve
potential
biomarker
for
predicting
syndrome,
providing
new
perspectives
early
screening
intervention
Frontiers in Aging Neuroscience,
Journal Year:
2025,
Volume and Issue:
17
Published: April 4, 2025
Objectives
To
investigate
the
association
between
estimated
glucose
disposal
rate
(eGDR),
a
surrogate
marker
of
insulin
resistance,
and
Parkinson’s
disease
(PD)
risk,
to
examine
relationship
eGDR
all-cause
mortality
among
PD
patients.
Methods
Using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2003–2016,
we
conducted
cross-sectional
study
20,767
participants
aged
≥40
years.
was
calculated
using
waist
circumference,
hypertension
status,
HbA1c
levels.
cases
were
identified
through
anti-parkinsonian
medication
use.
The
examined
weighted
logistic
regression
models
with
progressive
adjustment
for
potential
confounders.
Survival
analysis
performed
in
255
patients
assess
mortality.
Results
Among
participants,
256
had
(weighted
prevalence:
1.23%).
Higher
associated
lower
odds
crude
(OR:
0.906,
95%
CI:
0.856–0.960,
P
<
0.001).
After
full
adjustment,
highest
tertile
showed
significantly
compared
lowest
0.574,
0.337–0.976,
=
0.040).
Restricted
cubic
spline
revealed
significant
M-shaped
non-linear
risk
(P
non-linearity
In
survival
analysis,
higher
(adjusted
HR:
0.875,
0.775–0.987,
0.030),
an
inverted
U-shaped
observed
0.0352).
Conclusion
levels
are
better
patients,
suggesting
that
sensitivity
might
play
role
pathogenesis
progression.
These
findings
highlight
importance
metabolic
health
PD.
Cardiovascular Diabetology,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: April 13, 2025
Insulin
resistance
(IR)
is
an
important
pathologic
component
in
the
occurrence
and
development
of
cardiovascular
disease
(CVD).
The
estimated
glucose
disposal
rate
(eGDR)
a
measure
handling
capacity,
that
has
demonstrated
utility
as
reliable
marker
IR.
study
aimed
to
determine
predictive
IR
assessed
by
eGDR
for
CVD
risk.
This
nationwide
prospective
cohort
utilized
data
6416
participants
from
China
Health
Retirement
Longitudinal
Study
(CHARLS)
who
were
free
but
had
complete
on
at
baseline.
Boruta
algorithm
was
performed
feature
selection.
Multivariate
Cox
proportional
hazards
regression
models
restricted
cubic
spline
(RCS)
analysis
conducted
examine
associations
between
CVD,
results
expressed
with
hazard
ratio
(HR)
95%
confidence
interval
(CI)
values.
area
under
receiver
operating
characteristic
(ROC)
curve
(AUC),
calibration
curve,
Hosmer-Lemeshow
test,
net
reclassification
improvement
(NRI),
decision
(DCA)
employed
evaluate
clinical
efficacy
identifying
CVD.
Subgroup
explore
potential
association
different
populations.
During
median
follow-up
106.5
months,
1339
(20.87%)
incident
cases,
including
1025
(15.96%)
heart
439
(6.84%)
stroke,
recorded
CHARLS.
RCS
curves
significant
linear
relationship
all
endpoints
(all
P
nonlinear
>
0.05).
After
multivariate
adjustment,
lower
levels
found
be
significantly
associated
greater
prevalence
Compared
lowest
quartile,
highest
quartile
decreased
risk
(HR
0.686,
CI
0.545-0.862).
When
continuous
variable,
individuals
unit
increasement
related
21.2%
0.788,
0.669-0.929)
18.3%
0.817,
0.678-0.985)
disease,
39.5%
0.705,
0.539-0.923)
stroke.
excellent
performance
according
ROC
(AUC
=
0.712)
χ2
likelihood
test
(χ2
4.876,
0.771).
NRI
DCA
also
suggested
identify
prevalent
favorable
model.
revealed
trend
broadly
consistent
main
across
subgroups.
A
level
increased
suggesting
may
serve
promising
preferable
predictor
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 15, 2025
Abstract
Background
The
association
between
newly
developed
insulin
resistance
(IR)
indices
and
all-cause
mortality
in
elderly
patients
with
diabetes
has
not
been
investigated.
Methods
Baseline
data
for
1,248
from
the
National
Health
Nutrition
Examination
Survey
(NHANES)
conducted
2001
2018
were
collected.
traditional
IR
index
homeostasis
model
assessment
of
(HOMA-IR)
several
indices,
including
metabolic
score
(METS-IR),
triglyceride
to
high-density
lipoprotein
cholesterol
ratio
(TG/HDL-C),
glucose
(TyG),
combined
body
mass
(TyG-BMI),
estimated
disposal
rate
(eGDR),
visceral
adiposity
(VAI),
calculated
patients.
Cox
proportional
hazards
regression
restricted
cubic
spline
models
assessed
relationship
mortality.
Results
In
a
median
follow-up
period
73.3
months,
there
381
recorded
deaths.
total
cohort,
METS-IR
(p
<
0.001),
TyG-BMI
eGDR
=
0.011)
demonstrated
significant
as
continuous
variables.
HOMA-IR,
METS-IR,
TyG-BMI,
exhibited
correlations
0.05)
when
analyzed
categorical
A
U-shaped
exists
eGDR,
(p-overall
0.0001,
p-nonlinear
0.05).
No
associations
found
TyG,
TG/HDL-C,
VAI,
Among
male
patients,
HOMA-IR
superior
prognostic
value,
whereas
female
showed
better
performance.
Conclusion
associated
diabetic
gender
differences
their
values.
Cardiovascular Diabetology,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: April 16, 2025
Background
The
American
Heart
Association
recently
introduced
the
concept
of
cardiovascular-kidney-metabolic
(CKM)
syndrome,
highlighting
increasing
importance
complex
interplay
between
metabolic,
renal,
and
cardiovascular
diseases
(CVD).
While
substantial
evidence
supports
a
correlation
estimated
glucose
disposal
rate
(eGDR)
CVD
events,
its
predictive
value
compared
with
other
insulin
resistance
(IR)
indices,
such
as
triglyceride–glucose
(TyG)
index,
TyG-waist
circumference,
TyG-body
mass
TyG-waist-to-height
ratio,
triglyceride-to-high
density
lipoprotein
cholesterol
metabolic
score
for
resistance,
remains
unclear.
Methods
This
prospective
cohort
study
utilized
data
from
China
Health
Retirement
Longitudinal
Study
(CHARLS).
individuals
were
categorized
into
four
subgroups
based
on
quartiles
eGDR.
associations
eGDR
incident
evaluated
using
multivariate
logistic
regression
analyses
restricted
cubic
spline.
Seven
machine
learning
models
to
assess
index
events.
To
model’s
performance,
we
applied
receiver
operating
characteristic
(ROC)
precision-recall
(PR)
curves,
calibration
decision
curve
analysis.
Results
A
total
4,950
participants
(mean
age:
73.46
±
9.93
years),
including
50.4%
females,
enrolled
in
study.
During
follow-up
2011
2018,
697
(14.1%)
developed
CVD,
486
(9.8%)
heart
disease
263
(5.3%)
stroke.
outperformed
six
IR
indices
predicting
demonstrating
significant
linear
relationship
all
outcomes.
Each
1-unit
increase
was
associated
14%,
19%
lower
risk
disease,
stroke,
respectively,
fully
adjusted
model.
incorporation
significantly
improved
prediction
performance
area
under
ROC
PR
curves
equal
or
exceeding
0.90
both
training
testing
sets.
Conclusions
outperforms
stroke
CKM
syndrome
stages
0–3.
Its
enhances
stratification
may
aid
early
identification
high-risk
this
population.
Further
studies
are
needed
validate
these
findings
external
cohorts.
Graphical
abstract
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
16
Published: May 12, 2025
Purpose
The
estimated
glucose
disposal
rate
(eGDR)
serves
as
a
straightforward
and
noninvasive
indicator
of
insulin
resistance
(IR).
This
study
aims
to
explore
the
association
between
eGDR
risk
abdominal
aortic
calcification
(AAC).
Methods
We
utilized
data
from
adult
participants
(≥40
years
old,
n=3006)
2013–2014
National
Health
Nutrition
Examination
Survey
(NHANES)
database.
AAC
was
measured
by
dual-energy
X-ray
absorptiometry
quantified
using
Kauppila
score.
Severe
(SAAC)
defined
an
score
>
6.
Logistic
regression,
restricted
cubic
spline
(RCS),
subgroup
analysis
were
used
analyze
relationship
SAAC
risk.
Results
In
fully
adjusted
models,
found
be
negatively
associated
with
(OR=0.86,
95%CI:0.79–0.94,
P
<0.001).
Compared
in
lowest
quantile,
those
highest
quantile
exhibited
lower
(OR=0.47,
95%CI:0.25–0.91,
=0.026).
RCS
indicates
nonlinear
risk,
turning
point
at
7.05
mg/kg/min.
Subgroup
showed
that
more
significant
women.
Conclusions
degree
IR
assessed
is
shows
promise
epidemiological
tool
for
evaluating
influence
on
AAC.
