Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide prospective cohort study
Luqing Jiang,
No information about this author
Tao Zhu,
No information about this author
Wenjing Song
No information about this author
et al.
Cardiovascular Diabetology,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: Feb. 6, 2025
Estimate
glucose
disposal
rate
(eGDR),
Chinese
visceral
adiposity
index
(CVAI),
triglyceride-glucose
(TyG),
TyG-body
mass
(TyG-BMI),
metabolic
score
for
insulin
resistance
(METS-IR),
and
atherogenic
of
plasma
(AIP)
are
considered
surrogate
indexes
(IR).
There
is
a
lack
studies
comparing
the
predictive
values
different
IR
stroke
risk
among
individuals
with
abnormal
metabolism.
This
study
aimed
to
investigate
relationships
between
six
in
metabolism,
evaluate
their
abilities
risk.
Data
from
China
Health
Retirement
Longitudinal
Study
(CHARLS)
were
analysed
this
study.
Multivariate
logistic
regression
models
applied
analyse
The
dose-response
explored
using
restricted
cubic
splines.
areas
under
curve
(AUCs)
calculated
by
receiver
operating
characteristic
(ROC)
analysis.
After
adjusting
potential
confounders,
we
observed
that
each
standard
deviation
(SD)
increase
eGDR
was
associated
reduced
stroke,
an
adjusted
odds
ratio
(OR)
0.746
[95%
confidence
interval
(CI):
0.661-0.842].
In
contrast,
SD
CVAI,
TyG,
TyG-BMI,
METS-IR,
AIP
increased
ORs
(95%
CIs)
1.232
(1.106-1.373),
1.246
(1.050-1.479),
1.186
(1.022-1.376),
1.222
(1.069-1.396),
1.193
(1.050-1.355),
respectively.
Dose-response
analyses
showed
eGDR,
TyG-BMI
METS-IR
linearly
(Pnonlinear
≥
0.05),
whereas
TyG
nonlinearly
<
0.05).
According
ROC
analysis,
AUC
predicting
overall
population
metabolism
(AUC:
0.612,
95%
CI:
0.584-0.640)
significantly
higher
than
other
indexes.
closely
high
promising
middle-aged
elderly
populations
Language: Английский
Correlation between estimated glucose disposal rate, insulin resistance, and cardiovascular mortality among individuals with metabolic syndrome: a population-based analysis, evidence from NHANES 1999–2018
Dawei Xing,
No information about this author
Jing Xu,
No information about this author
Xiaochun Weng
No information about this author
et al.
Diabetology & Metabolic Syndrome,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 9, 2025
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
Language: Английский
Association between estimated glucose disposal rate and prediction of cardiovascular disease risk among individuals with cardiovascular-kidney-metabolic syndrome stage 0–3: a nationwide prospective cohort study
Jing Tian,
No information about this author
Chen Hu,
No information about this author
Yan Luo
No information about this author
et al.
Diabetology & Metabolic Syndrome,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Feb. 14, 2025
Insulin
resistance
is
a
crucial
factor
in
the
development
of
cardiovascular
diseases
(CVD),
yet
relationship
between
estimated
glucose
disposal
rate
(eGDR),
an
index
reflecting
insulin
resistance,
and
risk
new-onset
CVD
among
individuals
with
cardiovascular-kidney-metabolic
(CKM)
syndrome
stage
0–3
remains
underexplored,
large-scale
prospective
cohort
studies
are
needed
to
clarify
this
relationship.
All
data
for
study
were
extracted
from
China
Health
Retirement
Longitudinal
Study
(CHARLS).
The
primary
outcome
was
incidence
(including
heart
(HD)
stroke)
during
follow-up
period
(from
2013
2020).
Multivariable
logistic
regression
models
applied
elucidate
eGDR
developing
CVD.
restricted
cubic
splines
(RCS),
mediation
analysis,
stratified
analyses
also
employed.
This
included
6752
participants,
whom
1495
(22%)
developed
Odds
ratios
95%
confidence
intervals
lowest
level
(<7.37
mg/kg/min)
highest
(≥
11.16
1.00
(reference),
0.81
(0.68,
0.96),
0.72
(0.58,
0.88),
0.74
0.94)
respectively,
occurrence
CVD;
(0.67,0.97),
(0.57,0.90),
0.75
(0.58,0.97)
HD;
0.91
(0.74,1.12),
0.80
(0.62,1.04),
0.71
(0.52,0.97)
stroke
after
adjusting
all
potential
covariates.
RCS
analysis
discovered
approximately
inverse
"L"
correlation
HD
across
CKM
stages
(All
P
overall
<
0.001,
nonlinear
=
0.005),
while
there
negative
linear
(P
0.026,
0.098).
Furthermore,
proportions
mediated
through
BMI
41.98%,
43.05%,
43.23%
CVD,
stroke,
respectively.
No
significant
interactions
found.
novel
indicator
0–3,
serving
as
partial
mediator
association
risk.
Addressing
may
represent
viable
strategy
reducing
population.
Language: Английский
Impact of a 12‐week personalized dietary intervention on vascular function and cardiovascular risk factors
Diabetes Obesity and Metabolism,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 27, 2025
Individuals
with
liver
insulin-resistant
(LIR)
or
muscle
(MIR)
phenotypes
may
respond
differently
to
dietary
interventions.
Given
the
interaction
between
insulin
resistance
and
cardiovascular
risk,
this
sub-analysis
of
PERSON
study
examined
whether
a
personalized
diet
according
MIR
LIR
improves
vascular
function
disease
risk
factors.
We
randomized
119
participants
12-week
low-fat,
high-protein,
high-fibre
(LFHP;
be
optimal
for
LIR)
Mediterranean
(high
in
monounsaturated
fat,
HMUFA;
MIR).
Randomization
linked
(IR)
phenotype
proposed
diet,
leading
PhenoDiet
A
(MIR-HMUFA
LIR-LFHP)
B
(MIR-LFHP
LIR-HMUFA).
Before
after
intervention,
(carotid
artery
reactivity)
factors
(blood
pressure,
total
cholesterol,
HDL-cholesterol
Framingham
score)
were
examined.
7-point
oral
glucose
tolerance
test
was
performed
determine
(Matsuda
index
HOMA-IR)
disposition
index.
Following
drop-out
(n
=
18),
101
finished
intervention
(54
women,
61
±
7
years,
27.6
[26.4;30.0]
kg/m2),
n
80
available
primary
outcome
function.
Overall,
interventions
significantly
decreased
blood
score
(all
p
<
0.05),
while
not
affected
(p
0.485).
Insulin
≤
0.001),
but
0.362),
improved
intervention.
The
Matsuda
0.078)
tended
increase
more
cholesterol
0.052)
decrease
group
than
A,
other
changes
parameters
different
groups.
LFHP
resulted
pronounced
improvements
diastolic
pressure
(DBP)
compared
HMUFA
0.05).
metabolic
outcomes,
adults
overweight
obesity.
Whilst
greater
cardiometabolic
markers
we
found
no
significant
differences
Language: Английский
More comprehensive relationship between eGDR and sarcopenia in China: a nationwide cohort study with national representation
Zikai Jin,
No information about this author
Liming Zheng,
No information about this author
Chuanrui Sun
No information about this author
et al.
Diabetology & Metabolic Syndrome,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: March 24, 2025
Although
studies
had
shown
that
Insulin
resistance
(IR)
was
correlated
with
the
occurrence
of
sarcopenia,
there
were
still
many
controversial
conclusions.
Therefore,
we
conducted
a
more
comprehensive
study
on
relationship
between
estimated
glucose
disposal
rate
(eGDR),
an
alternative
indicator
IR,
and
risk
muscle
mass,
strength
to
clarify
their
interactions.
The
Study
included
individuals
from
China
Health
Retirement
Longitudinal
(CHARLS)
who
complete
eGDR
data
at
baseline
did
not
develop
low
mass
strength.
divided
into
four
subgroups
based
quartile
(Q)
eGDR.
lowest
(Q1)
used
as
reference.
Logistic
regression
linear
evaluate
sarcopenia
(low
strength,
possible
sarcopenia)
related
features
(ASM/Ht2,
grip,
RMS),
respectively.
In
addition,
further
evaluated
nonlinear
using
smooth
curve
fitting
threshold
effect
analysis.
results
showed
after
adjusting
for
confounders,
negatively
associated
positively
characteristics.
men
significant
reduction
in
likelihood
compared
women.
But
levels
rise,
women
gain
ASM/Ht2.
Further
analysis
revealed
inverse
correlation
ASM/Ht2
inflection
point
15.3893.
Besides
that,
grip
(7.1862)
RMS
(11.1042)
before
point.
found
higher
lower
developing
sarcopenia.
However,
effects
need
be
considered
comprehensively.
For
it
is
recommended
maintain
below
15.3893,
7.1862,
potential
benefits
early
warning
Language: Английский
Joint association of estimated glucose disposal rate and systemic inflammation response index with mortality in cardiovascular-kidney-metabolic syndrome stage 0–3: a nationwide prospective cohort study
Yuwen Chen,
No information about this author
Wen Lian,
No information about this author
Lei Wu
No information about this author
et al.
Cardiovascular Diabetology,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: March 29, 2025
The
Cardiovascular-Kidney-Metabolic
(CKM)
syndrome
underscores
the
complex
interactions
among
metabolic
disorders,
kidney
disease,
and
cardiovascular
conditions.
Insulin
resistance
(IR)
inflammation
are
crucial
in
CKM
development,
but
their
combined
effect
stages
0–3
remains
unclear.
Using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES),
we
included
18,295
participants
with
10
cycles
between
1999
2018.
IR
was
assessed
using
estimated
glucose
disposal
rate
(eGDR),
systemic
evaluated
Systemic
Inflammation
Response
Index
(SIRI).
primary
endpoint
all-cause
mortality,
secondary
disease
(CVD)
mortality.
Over
an
average
follow-up
period
of
121
months,
recorded
1,998
deaths
539
CVD
deaths.
Both
eGDR
SIRI
were
independent
risk
factors
for
hazard
ratios
(HR)
0.90
(0.86,
0.94)
mortality
0.85
(0.78,
0.93)
per
unit
increase
eGDR.
For
SIRI,
HRs
1.16
(1.11,
1.21)
1.33
(1.19,
1.46)
SIRI.
Compared
to
individuals
high
low
levels,
those
levels
exhibited
significantly
higher
risks,
1.97
(1.58,
2.44)
2.35
(1.48,
3.73)
Subgroup
analysis
revealed
that
impact
particularly
significant
patients
under
60
years
old.
In
0–3,
have
joint
on
Combining
these
markers
can
help
identify
high-risk
early,
enabling
timely
monitoring
intervention
improve
outcomes.
What
is
currently
known
about
this
topic?
key
research
question?
new?
How
might
study
influence
clinical
practice?
Language: Английский
Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0–3 and the development of a machine learning prediction model: a nationwide prospective cohort study
Bingtian Dong,
No information about this author
Yuping Chen,
No information about this author
Xiaocen Yang
No information about this author
et al.
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
Language: Английский
Association of the estimated glucose disposal rate with and mortality risk in patients with atherosclerotic cardiovascular disease: A cohort study from the NHANES 1999–2018
Guoming Li,
No information about this author
Weilin Yang,
No information about this author
Zhuoran Kuang
No information about this author
et al.
Diabetes Research and Clinical Practice,
Journal Year:
2025,
Volume and Issue:
unknown, P. 112263 - 112263
Published: May 1, 2025
Language: Английский
Kidney Damage in Pediatric Obesity: Insights from an Emerging Perspective
Journal of Clinical Medicine,
Journal Year:
2024,
Volume and Issue:
13(23), P. 7025 - 7025
Published: Nov. 21, 2024
The
role
of
obesity
as
a
risk
factor
for
chronic
kidney
disease
(CKD)
in
adulthood
has
been
well
established.
Over
the
last
years,
damage
(KD)
emerged
significant
consequence
since
childhood.
Indeed,
complex
interplay
metabolic
factors,
including
insulin
resistance
(IR),
hypertension,
oxidative
stress,
adipose
tissue
dysfunction,
and
systemic
inflammation,
might
affect
renal
hemodynamics,
contributing
to
CKD
development
over
time
at-risk
young
patients.
As
prevalence
pediatric
continues
rise
globally,
understanding
implications
health
terms
early
intervention
is
paramount
importance.
Careful
monitoring
function
within
multidisciplinary
approach
children
with
crucial
detecting
KD,
allowing
timely
lifestyle
modifications
treatment.
In
this
framework,
continued
research
essential
further
elucidate
mechanisms
linking
KD
explore
not
only
effective
preventive
strategies
but
also
long-term
impact
on
obesity.
Given
intimate
link
milieu
obesity,
we
aimed
provide
comprehensive
insightful
overview
its
by
reviewing
most
recent
literature
field.
Language: Английский
Association between estimated glucose disposal rate and female infertility: a cross-sectional study
Frontiers in Endocrinology,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 12, 2024
Insulin
resistance
(IR)
can
lead
to
infertility
in
women.
The
primary
objective
of
this
research
was
examine
how
estimated
glucose
disposal
rate
(eGDR)
correlates
with
women,
assessing
its
validity
as
an
indicator
IR.
Language: Английский