Journal of Health Population and Nutrition,
Journal Year:
2025,
Volume and Issue:
44(1)
Published: March 25, 2025
Stroke
is
a
complex
neurological
condition
characterized
by
high
rates
of
incidence,
recurrence,
disability,
and
mortality,
making
it
one
the
leading
causes
death
disability
worldwide.
The
Naples
prognostic
score
(NPS),
an
index
that
combines
markers
inflammation
nutritional
status,
has
demonstrated
value
in
various
diseases.
This
research
investigated
relationships
among
NPS,
stroke
prevalence,
overall
mortality
individuals,
drawing
on
data
from
National
Health
Nutrition
Examination
Survey
2007
to
2018.
cross-sectional
analysis
included
20,798
participants
aged
beyond
40
years
with
1155
persons
analyzed
for
mortality.
prevalence
was
self-reported,
NPS
derived
serum
albumin,
total
cholesterol,
neutrophil-to-lymphocyte
ratio,
lymphocyte-to-monocyte
ratio
(Galizia
et
al.
Cancer
60:1273–1284,
2017).
Weighted
Logistic
regression
Cox
models
assessed
associations
stroke,
adjusting
demographic
clinical
factors.
Higher
scores
were
linked
increased
(OR
3.573,
95%
CI
2.745–4.652,
P
<
0.001)
elevated
all-cause
risk
(HR
3.281,
1.978–5.442,
individuals.
triglyceride-glucose
(TYG)
significantly
modified
relationship
between
prevalence.
study
supports
utility
as
predictor
both
may
serve
valuable
tool
stratification
prevention
long-term
prognosis.
Cardiovascular Diabetology,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: June 20, 2024
Abstract
Background
The
triglyceride
glucose
(TyG)
index,
TyG-body
mass
index
(TyG-BMI),
and
triglyceride-density
lipoprotein
cholesterol
ratio
(TG/HDL-C)
are
substitute
indicators
for
insulin
resistance
(IR).
This
study
aimed
to
compare
the
predictive
value
of
these
5-year
mortality
in
critically
ill
patients
with
chronic
heart
failure
(CHF).
Methods
Critically
CHF
were
identified
from
Multiparameter
Intelligent
Monitoring
Intensive
Care
(MIMIC)
III
IV
databases.
primary
outcome
was
mortality.
relationship
between
three
indices
risk
determined
using
multivariate
Cox
proportional
hazards
models,
Kaplan–Meier
(K‒M)
analysis
restricted
cubic
splines
analysis.
A
receiver
operating
characteristic
(ROC)
curve
generated
ability
predict
Finally,
whether
IR
would
further
increase
basic
model
including
baseline
variables
a
significance
level
survivors
non-survivors
evaluated
by
ROC
curve.
Results
Altogether,
1329
models
indicated
that
TyG
independently
associated
an
elevated
(hazard
[HR],
1.56;
95%
confidence
interval
[CI]
1.29–1.9),
while
TyG-BMI
TG/HDL-C
significantly
mortality,
HR
(95%
CI)
1.002
(1.000–1.003)
1.01
(1.00–1.03),
respectively.
K–M
revealed
cumulative
incidence
all-cause
death
increased
increasing
quartiles
or
ratio.
According
curve,
outperformed
at
predicting
(0.608
[0.571–0.645]
vs.
0.558
[0.522–0.594]
0.561
[0.524–0.598]).
effect
on
consistent
across
subgroups,
no
significant
interaction
randomized
factors.
Furthermore,
adding
improved
its
(area
under
0.762
0.769
+
index);
however,
difference
not
statistically
significant.
Conclusion
As
continuous
variables,
all
CHF.
Although
did
improve
power
CHF,
appears
be
most
promising
(vs.
ratio)
prevention
stratification
Cardiovascular Diabetology,
Journal Year:
2023,
Volume and Issue:
22(1)
Published: Nov. 9, 2023
Prior
research
has
established
the
correlation
between
insulin
resistance
(IR)
and
hypertension.
While
association
triglyceride-glucose
(TyG)
index,
a
reliable
surrogate
marker
of
IR,
uncontrolled
hypertension
as
well
arterial
stiffness
among
individuals
with
remains
undisclosed.In
this
study,
total
8513
adults
diagnosed
from
National
Health
Nutrition
Examination
Survey
1999-2018
were
included.
The
primary
outcome
study
are
(represented
estimated
pulse
wave
velocity,
ePWV)
Logistic
regression
model,
subgroup
analysis,
restricted
cubic
spine,
smooth
curve
fitting
conducted
to
evaluate
IR
indicators
in
hypertension.Among
included
participants,
overall
prevalence
was
54.3%.
After
adjusting
for
all
potential
covariates,
compared
first
quartile
TyG
risk
increased
about
28%
49%
participants
third
(OR,
1.28;
95%
CI
1.06-1.52)
fourth
1.49;
1.21-1.89)
respectively.
higher
OR
index
observed
taking
antihypertensive
medication
[fourth
versus
2.03;
1.37-3.11)].
Meanwhile,
we
explored
found
that
significantly
associated
(β
ePWV,
0.04;
0.00-0.08;
P
=
0.039).
However,
traditional
indicator
HOMA-IR
showed
no
significant
positive
US
hypertension.Elevated
levels
Renal Failure,
Journal Year:
2025,
Volume and Issue:
47(1)
Published: Jan. 6, 2025
The
TyG
index
serves
as
a
valuable
tool
for
evaluating
insulin
resistance.
An
elevated
has
shown
strong
association
with
the
occurrence
of
acute
kidney
injury
(AKI).
Nevertheless,
existing
literature
does
not
address
relationship
between
and
in
patients
sepsis.
Sepsis
were
identified
from
MIMIC-IV
database
categorized
into
four
groups
according
to
quadrilles
their
values.
primary
outcome
this
study
was
incidence
AKI.
risk
AKI
septic
evaluated
using
Cox
proportional
hazards
restricted
cubic
spline
models.
Subgroup
analyses
conducted
investigate
prognostic
value
different
subgroups.
A
total
2,616
sepsis
(57%
whom
male)
included
study.
found
be
78%.
analysis
revealed
significant
correlation
patients.
Furthermore,
model
an
approximately
linear
higher
trend
hazard
ratio
(HR)
remained
consistent
across
various
These
findings
emphasize
reliability
independent
predictor
unfavorable
renal
outcomes
establishing
causal
two
requires
demonstration
through
larger
prospective
studies.
Cardiovascular Diabetology,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Aug. 16, 2024
Insulin
resistance
is
linked
to
an
increased
risk
of
frailty,
yet
the
comprehensive
relationship
between
triglyceride
glucose-body
mass
index
(TyG-BMI),
which
reflects
weight,
and
remains
unclear.
This
investigated
in
this
study.
Data
from
9135
participants
China
Health
Retirement
Longitudinal
Study
(2011–2020)
were
analysed.
Baseline
TyG-BMI,
changes
TyG-BMI
cumulative
baseline
2015,
along
with
frailty
(FI)
over
nine
years,
calculated.
Participants
grouped
into
different
categories
based
on
using
K-means
clustering.
FI
trajectories
assessed
a
group-based
trajectory
model.
Logistic
Cox
regression
models
used
analyse
associations
frail
incidence.
Nonlinear
relationships
explored
restricted
cubic
splines,
linear
mixed-effects
model
was
evaluate
development
speed.
Weighted
quantile
identify
primary
contributing
factors.
Four
classes
two
identified.
Individuals
third
(OR
=
1.25,
95%
CI:
1.10–1.42)
fourth
1.83,
1.61–2.09)
quartiles
those
consistently
second
highest
1.49,
1.32–1.70)
2.17,
1.84–2.56)
changes,
1.20,
1.05–1.36)
1.94,
1.70–2.22)
had
greater
odds
experiencing
rapid
trajectory.
Higher
noted
quartile
(HR
1.42,
1.28–1.58),
1.23,
1.12–1.34)
1.58,
1.42–1.77),
1.10,
1.00-1.21)
1.46,
1.33–1.60).
persistently
second-lowest
(β
0.15,
0.38
0.76
respectively)
0.25
0.56,
demonstrated
accelerated
progression.
A
U-shaped
association
observed
levels
both
higher
risk,
BMI
being
factor.
associated
risk.
However,
excessively
low
also
appear
contribute
development.
Maintaining
healthy
especially
BMI,
may
help
prevent
or
delay
onset.
Cardiovascular Diabetology,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Nov. 27, 2024
Globally,
cardiovascular
disease
(CVD)
constitutes
the
primary
cause
of
death,
with
insulin
resistance
(IR),
measured
by
triglyceride-glucose
(TyG)
index,
and
visceral
obesity,
reflected
Chinese
Visceral
Adiposity
Index
(CVAI),
as
key
contributors.
However,
relationship
between
TyG
index
CVAI
regarding
CVD
risk
remains
insufficiently
understood.
This
research
investigates
interactive
impact
on
disease.
We
analyzed
data
from
8,358
participants
China
Health
Retirement
Longitudinal
Study
(CHARLS)
over
a
9-year
follow-up
period.
Participants
were
classified
into
four
groups
based
median
(8.59)
values
(101.26),
baseline
characteristics
summarized.
Missing
addressed
using
multiple
imputation
chained
equations
(MICE).
Cox
proportional
hazards
models
assessed
associations
CVAI,
CVD,
coronary
heart
(CHD),
stroke
risks,
Kaplan-Meier
analysis
used
for
cumulative
hazard.
Interaction
effects
evaluated
both
multiplicative
additive
measures.
Subgroup
analyses
age,
gender,
clinical
conditions
conducted
to
explore
interaction
across
different
populations.
Sensitivity
re-tested
models,
excluding
covariates
BMI
diabetes,
tertiles
classification,
re-evaluating
imputed
data.
Over
follow-up,
1,240
(14.8%)
developed
including
896
cases
CHD
475
strokes.
curves
indicated
that
low
but
high
had
highest
hazard
CVD.
regression
showed
this
group
(HR
=
1.87,
95%
CI:
1.57–2.24),
followed
those
1.75,
1.49–2.06).
revealed
negative
effect
no
significant
stroke.
sensitivity
further
confirmed
these
findings,
showing
consistent
results
demographic
under
various
analytical
conditions.
study
suggests
IR
(TyG
index)
fat
accumulation
(CVAI)
plays
complex
role
in
risk,
potential
antagonistic
observed
events.
These
findings
highlight
importance
considering
adiposity
assessments
improve
identification
high-risk
individuals.
Frontiers in Endocrinology,
Journal Year:
2024,
Volume and Issue:
15
Published: July 12, 2024
Background
The
triglyceride
glucose
(TyG)
index,
a
metric
computed
from
the
levels
of
fasting
(TG)
and
plasma
(FPG),
has
emerged
as
simple
surrogate
measure
for
insulin
resistance
(IR)
in
recent
years.
In
multiple
critical
care
scenarios,
such
contrast-induced
acute
kidney
injury
(AKI)
cardiorenal
syndrome,
high
TyG
index
shows
notable
correlation
with
AKI
incidence.
However,
its
predictive
value
critically
ill
hypertensive
patients
remains
uncertain.
Methods
Participants
were
selected
Medical
Information
Mart
Intensive
Care
IV
(MIMIC-IV)
database
divided
into
quartiles
based
on
index.
primary
focus
study
was
to
investigate
risk
(AKI),
in-hospital
mortality
secondary
endpoint,
assessed
among
all
subjects
well
specifically
patients.
use
renal
replacement
therapy
(RRT),
indicative
progression,
also
considered
endpoint
reflecting
outcomes.
To
explore
between
patients,
employed
restricted
cubic
splines
model
Cox
proportional
hazards
(CPH)
models.
Additionally,
Kaplan-Meier
survival
analysis
utilized
assess
differences
outcomes
across
groups
categorized
by
their
Analyses
conducted
ensure
consistency
capability
various
subgroups.
Results
Our
included
4,418
participants,
57%
being
male
occurred
56.1%
cases.
Through
CPH
analysis,
we
identified
significant
association
occurrence
With
help
model,
observed
direct
relationship
an
elevated
increased
AKI.
Subgroup
examinations
consistently
proved
categories.
Furthermore,
revealed
RRT
Conclusion
findings
underscore
importance
reliable
predictor
adverse
states.
Nevertheless,
validating
causality
mandates
extensive
prospective
investigations.
The
triglyceride
glucose
(TyG)
index
is
a
novel
and
reliable
alternative
marker
for
insulin
resistance.
Previous
studies
have
shown
that
TyG
closely
associated
with
cardiovascular
outcomes
in
diseases
coronary
revascularization.
However,
the
relationship
between
renal
of
revascularization
unclear.
purpose
this
study
was
to
investigate
correlation
risk
acute
kidney
injury
(AKI)
patients
A
retrospective
cohort
conducted
select
eligible
admitted
ICU
medical
information
mart
intensive
care
IV
(MIMIC-IV).
According
quartile,
these
were
divided
into
four
groups
(Q1-Q4).
primary
endpoint
incidence
AKI,
secondary
endpoints
included
28-day
mortality
rate
replacement
therapy
(RRT)
use
AKI
population.
Multivariate
Cox
regression
analysis
restricted
cubic
splines
(RCS)
used
analyze
association
risk.
Kaplan-Meier
survival
performed
assess
groups.
In
study,
790
who
underwent
surgery
included,
30.13%.
showed
high
had
significantly
increased
(Log-rank
P
=
0.0045).
whether
continuous
variable
(HR
1.42,
95%
CI
1.06-1.92,
0.018)
or
categorical
(Q4:
HR
1.89,
1.12-3.17,
0.017),
there
an
independent
RCS
curve
linear
higher
particular
population
(P
0.078).
addition,
RRT
application
subset
based
on
quartiles
0.029).
adverse
This
finding
suggests
may
be
useful
identifying
people
at
poor
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 2, 2025
Acute
kidney
injury
(AKI)
is
associated
with
adverse
hospitalization.
Previous
studies
have
reported
that
an
elevated
triglyceride
glucose
(TyG)
index
significantly
the
development
of
AKI
in
patients
cardiovascular
disease,
as
well
those
undergoing
surgery;
however,
potential
TyG
to
predict
following
neurotrauma
remains
unclear.
Patients
diagnosed
traumatic
brain
(TBI)
Chinese
tertiary
hospitals
between
January
2014
and
December
2023
were
included
this
retrospective
study.
The
outcome
was
incidence
AKI.
identified
independent
risk
factor
for
using
logistic
regression
propensity
score
matching
(PSM).
Finally,
association
further
assessed
multivariate
regression,
restricted
cubic
spline
(RCS)
subgroup
analysis.
present
study
enrolled
1,505
TBI,
whom
66.45%
male,
average
age
55.47
±
17.32
years.
9.4%.
Multiple
analyses
a
relationship
levels
risk.
This
retained
after
PSM.
A
significant
positive
correlation
level
observed
all
three
models
constructed
regression.
RCS
indicated
linear
increase
increasing
index.
In
analyses,
remained
stable
majority
population
but
could
be
influenced
by
sex.
positively
correlated
TBI.
As
predictive
biomarker,
enables
effective
stratification
customization
management
protocols
mitigate
these
patients,
thus
enhancing
clinical
outcomes.