Association of the estimated glucose disposal rate with Heart failure mortality : a prospective cohort study
Yu-Jie Lu,
No information about this author
Yufeng Jiang,
No information about this author
Hai He
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 7, 2025
Abstract
Backgrounds
Previous
studies
have
found
a
significant
correlation
between
the
estimated
glucose
disposal
rate
(eGDR)
and
cardiovascular
disease
(CVD).
However,
little
is
known
about
relationship
eGDR
prognosis
of
heart
failure
patients.
Methods
The
study
included
1632
participants
from
UK
biobank
who
were
diagnosed
with
before
December
2010
had
no
history
cancer
diabetes.
formula
used
to
calculate
as
follows:
21.158-
(0.09
*
waist
circumference
[cm])
-
(3.407
hypertension)
-0.551
HbA1C
(%).
Participants
divided
into
four
groups
based
on
baseline
eGDR:<4,
4-5.99,
6-7.99,
≥
8
mg/kg/min.
outcome
all-cause
mortality
Cox
proportional
hazards
regression
model
examined
association
event
outcomes.
Results
During
13-year
follow-up,
Biobank
recorded
612
deaths.
Kaplan‒Meier
analyses
revealed
that
in
group
lowest
was
significantly
higher
(log-rank
p
<
0.01).
patients
mg/kg/min
lower
than
4
mg/kg/min,
hazard
ratio
(HR)
0.63
[95%
confidence
interval
(CI)
0.41,0.97].
Conclusions
This
suggests
decrease
associated
an
increase
after
failure.
Therefore,
can
serve
new
indicator
for
evaluating
Language: Английский
Association of platelet-to-high-density lipoprotein cholesterol ratio and its cumulative exposure with cardiovascular disease risk: a prospective cohort study in Chinese population
Honglian Luo,
No information about this author
Gang Li,
No information about this author
Yan Chen
No information about this author
et al.
Frontiers in Cardiovascular Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: May 9, 2025
Objective
This
study
aimed
to
investigate
the
association
of
platelet-to-high-density
lipoprotein
cholesterol
ratio
(PHR)
and
its
cumulative
exposure
with
cardiovascular
disease
(CVD)
risk.
Methods
The
investigation
utilized
data
from
China
Health
Retirement
Longitudinal
Study
(CHARLS).
Platelet-to-high-density
was
calculated
as
platelet
count
(×10⁹/L)/high-density
(mmol/L),
a
(Cumulative
PHR)
derived
for
longitudinal
assessment.
Multivariable
logistic
regression
models
were
used
evaluate
between
PHR,
CVD
risk
across
three
increasing
adjustments
confounders.
Restricted
cubic
splines
(RCS)
regressions
examine
if
there
non-linear
relationships.
Subgroup
analyses
conducted
enhance
reliability
findings.
Furthermore,
predictive
performance
assessed
using
concordance
index
(C-index),
net
reclassification
improvement
(NRI),
integrated
discrimination
(IDI).
Results
A
total
7,063
participants
aged
45
older
included,
whom
1,433
(20.29%)
experienced
disease.
Participants
had
higher
PHR
(167.93
vs.
156.84,
P
<
0.001)
Log
(5.12
5.06,
values
compared
non-CVD
participants.
revealed
that
independently
associated
[Odds
(OR)
per-unit:
1.30,
95%
confidence
interval
(CI):
1.13–1.49,
0.001;
OR
per-
standard
deviation
(SD):
1.13,
CI:
1.06–1.21,
0.001].
showed
similar
associations
(OR
1.34,
1.05–1.71,
=
0.02).
in
highest
quartile
nearly
1.32-fold
lowest
(OR:
1.32,
1.10–1.57,
0.002).
Addition
slightly
improved
metrics
baseline
model.
Conclusion
Both
are
increased
Future
research
should
focus
on
clinical
implementation
integration
into
existing
assessment
frameworks.
Language: Английский