This
study
aimed
to
construct
a
risk
prediction
model
estimate
the
odds
of
osteoporosis
(OP)
in
elderly
patients
with
type
2
diabetes
mellitus
(T2DM)
and
evaluate
its
efficiency.This
included
21,070
T2DM
who
were
hospitalized
at
six
tertiary
hospitals
Southwest
China
between
2012
2022.
Univariate
logistic
regression
analysis
was
used
screen
for
potential
influencing
factors
OP
least
absolute
shrinkage.
Further,
selection
operator
(LASSO)
multivariate
analyses
performed
select
variables
developing
novel
predictive
model.
The
area
under
receiver
operating
characteristic
curve
(AUROC),
calibration
curve,
decision
(DCA),
clinical
impact
(CIC)
performance
utility
model.The
incidence
7.01%
(1,476/21,070).
Age,
sex,
hypertension,
coronary
heart
disease,
cerebral
infarction,
hyperlipidemia,
surgical
history
factors.
seven-variable
displayed
an
AUROC
0.713
(95%
confidence
interval
[CI]:0.697-0.730)
training
set,
0.716
CI:
0.691-0.740)
internal
validation
0.694
0.653-0.735)
external
set.
optimal
probability
cut-off
value
0.075.
(bootstrap
=
1,000)
showed
good
calibration.
In
addition,
DCA
CIC
demonstrated
practicality.
An
interface
on
webpage
(
https://juntaotan.shinyapps.io/osteoporosis/
)
developed
provide
convenient
access
users.This
constructed
highly
accurate
predict
T2DM.
incorporates
demographic
characteristics
may
be
easily
facilitate
individualized
prediction.
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Июнь 23, 2023
Background
and
aims
Cardiovascular
disease
osteoporosis
are
common
diseases
in
older
adults
with
high
morbidity.
The
study
on
the
interaction
between
two
pathogenic
mechanisms
has
been
paid
much
attention
by
majority
of
researchers.
This
aimed
to
explore
relationship
bone
mineral
density
cardiovascular
adults.
Methods
primary
data
was
downloaded
from
National
Health
Nutrition
Examination
Survey
database
United
States.
Multivariate
logistic
regression
model,
generalized
additive
smooth
curve
fitting
were
used
events
risk.
When
a
found,
two-piecewise
linear
model
calculate
inflection
point.
In
addition,
subgroup
analysis
also
performed.
Results
A
total
2097
subjects
included
this
study.
After
adjusting
for
potential
confounders,
no
significant
association
found
lumbar
disease,
while
femur
had
non-linear
an
point
0.741
gm/cm
2
.
<0.741
,
risk
decreased
speedily.
Once
exceeded
value,
continued
decrease,
but
trend
became
significantly
slower.
Compared
patients
normal
mass,
associated
2.05-fold
increased
(95%
CI
1.68–5.52).
There
differences
tests
all
subgroups
(
p
>0.05)
except
race.
Conclusion
Our
results
indicated
that
closely
prevalence
over
60
years
old,
especially
negatively
risk,
Frontiers in Endocrinology,
Год журнала:
2024,
Номер
15
Опубликована: Май 22, 2024
Background
Osteoporosis
(OP)
and
cardiovascular
disease
(CVD)
are
major
global
public
health
issues,
especially
exacerbated
by
the
challenges
of
an
aging
population.
As
these
problems
intensify,
associated
burden
on
is
expected
to
increase
significantly.
Despite
extensive
epidemiological
investigations
into
potential
association
between
OP
CVD,
establishing
a
clear
causal
relationship
remains
elusive.
Methods
Instrumental
variables
were
selected
from
summary
statistics
IEU
GWAS
database.
Five
different
components
BMD
(heel
BMD,
LS
FA
FN
TB
BMD)
used
as
phenotypes.
CHD,
MI,
stroke
represent
CVD.
Multiple
analysis
methods
evaluate
CVD
comprehensively.
In
addition,
sensitivity
analyses(Cochran’s
Q
test,
MR-Egger
intercept
“leave
one
out”
analysis)
performed
verify
reliability
results.
Results
The
MR
showed
significant
CHD
heel
BMD;
in
reverse
analysis,
there
was
no
evidence
that
has
effect
results
confirmed
through
analysis.
Conclusion
study
revealed
causally
with
Heel
while
not
supported.
This
result
posits
etiological
factor
for
prompts
routine
bone
density
assessment
at
traditional
sites
(forearm,
femoral
neck,
lumbar
spine)
using
DAX
may
inadequately
discern
underlying
osteoporosis
issues
patients.
recommendation
synergistically
incorporate
ultrasound
or
total
body
examinations,
ensuring
clinical
diagnostics
both
precise
reliable.
Moreover,
findings
provide
valuable
insights
health,
contributing
development
pertinent
prevention
treatment
strategies.
Frontiers in Nutrition,
Год журнала:
2024,
Номер
11
Опубликована: Авг. 14, 2024
Aim
The
study
aimed
to
investigate
the
link
between
dietary
copper,
iron,
zinc,
selenium
intake
with
osteopenia
and
osteoporosis
in
elderly
hypertensive
patients.
Methods
data
of
patients
were
extracted
from
National
Health
Nutrition
Examination
Survey
2005–2010,
2013–2014,
2017–2018.
Data
copper
intakes
obtained
according
24-h
diet
recall
interviews.
Osteopenia
determined
based
on
bone
mineral
density.
Weighted
liner
regression
weighted
logistic
employed
assess
association
osteoporosis.
All
results
presented
as
β,
odds
ratios
(ORs),
95%
confidence
intervals
(CIs).
Results
In
total,
5,286
included.
Among
them,
2,961
(56.02%)
have
osteopenia,
566
(10.71%)
After
adjusting
all
covariates,
≥the
recommended
daily
allowance
was
positively
correlated
density
total
femur
(β
=
0.086,
CI:
0.021–0.152)
femoral
neck
0.097,
0.016–0.178).
Dietary
zinc
also
0.092,
0.030–0.153)
0.122,
0.050–0.193).
(O
0.581,
0.394–0.858)
(OR
0.595,
0.429–0.827)
levels
related
increased
hypertension.
Conclusion
Higher
associated
lower
included
may
be
beneficial
for
health
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 11, 2025
Background
Osteoporosis
(OP),
as
the
prevalent
systemic
metabolic
bone
disease
worldwide,
progresses
insidiously
and
slowly.
The
clinical
discomfort
complications
associated
with
OP
impose
a
significant
burden
on
patients.
Therefore,
finding
more
effective
treatments
for
remains
an
urgent
challenge.
Method
We
first
conducted
in
vitro
experiments
to
determine
whether
Neoandrographolide
(NEO)
exhibits
cytotoxic
or
proliferative
effects
marrow
macrophages
(BMMs)
explore
specific
timeframe
during
which
NEO
exerts
its
inhibitory
action
osteoclast
(OC)
differentiation.
Through
Reverse
Transcription
Polymerase
Chain
Reaction
(RT-PCR)
Western
blot
analysis,
we
examined
relative
expression
levels
of
genes
proteins
OC
differentiation
like
CTSK,c-Fos,MMP9,NFATc1,
verified
underlying
mechanisms.
Finally,
performed
vivo
further
investigate
inflammation.
Results
no
BMMs
at
concentrations
less
than
equal
30
μM
while
exerting
early
middle
stages.
RT-PCR
results
reveal
that
suppresses
including
CTSK,c-Fos,MMP9,NFATc1.
findings
also
indicate
inhibits
phosphorylation
ERK,
P38,
JNK,
P65
but
does
not
reverse
degradation
IκB-α.
Additionally,
affects
PI3K/AKT,
GSK3β,
PPARγ
signaling
pathways,
demonstrating
can
inhibit
formation
through
multiple
pathways
targets.
In
validated
by
constructing
model,
showing
mitigate
loss
induced
Conclusion
has
potential
serve
therapeutic
agent
targeting
sites
inhibiting
mature
various
pathways.
Aging Clinical and Experimental Research,
Год журнала:
2025,
Номер
37(1)
Опубликована: Фев. 27, 2025
Abstract
Background
Reports
on
the
association
between
cardiovascular
disease
(CVD)
risk
and
bone
mineral
density
(BMD)
remain
inconsistent
hence
more
population-based
studies
this
subject
are
needed.
Aims
This
cross-sectional
study
aimed
to
evaluate
at
lumbar
spine
(L1-L4)
femoral
neck
(right
left)
with
10-year
atherosclerotic
(ASCVD)
scores
in
Saudi
postmenopausal
women.
Methods
A
cohort
of
1,450
women
factors
for
loss
were
analyzed
using
data
from
Chair
Biomarkers
Chronic
Diseases
(CBCD)
Osteoporosis
database.
BMD
was
assessed
dual-energy
X-ray
absorptiometry
(DXA).
Anthropometric
biochemical
parameters,
including
fasting
glucose
lipid
profiles,
measured.
ASCVD
calculated
Risk
Estimator
Plus
tool.
tertiles
their
risk.
Results
Women
osteoporosis
had
significantly
lower
BMI,
waist
hip
circumferences,
metabolic
dysfunction
markers
compared
those
normal
BMD.
Significant
negative
correlations
observed
sites
osteopenia
osteoporosis.
Multivariate
logistic
regression
indicated
that
lowest
higher
odds
intermediate
high
scores,
adjusted
ratios
1.90
spine,
2.19
right
neck,
2.04
left
neck.
Conclusions
The
identified
significant
associations
elevated
women,
particularly
among
These
findings
demonstrate
importance
assessing
low
enable
early
prevention
management
strategies.
Frontiers in Endocrinology,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 28, 2025
The
global
trend
towards
longer
lifespans
has
led
to
an
aging
population
and
a
rise
in
the
prevalence
of
diseases
that
predominantly
affect
elderly
people.
Coronary
artery
calcification
(CAC)
osteoporosis
(OP)
are
common
populations.
CT
scans
provide
reliable
method
assess
monitor
progression
these
diseases.
In
this
review,
relationship
between
OP
CAC
terms
pathophysiological
mechanism,
comorbidity
risk
factors
clinical
manifestations
is
reviewed,
with
focus
on
advancements
imaging,
applications
possibility
for
“one-stop-shop”
examination.
BMC Women s Health,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 28, 2025
The
aim
of
this
study
was
to
develop
a
machine
learning
(ML)
model
for
classifying
osteoporosis
in
Korean
women
based
on
large-scale
population
cohort
study.
This
also
aimed
assess
ML
performance
compared
with
traditional
screening
tools.
Furthermore,
examine
the
factors
influencing
risk
through
variable
importance.
Data
collected
from
4199
aged
40-69
years
baseline
survey
Ansan
and
Ansung
Genome
Epidemiology
Study.
Osteoporosis
set
as
dependent
classification
models.
Independent
variables
included
122
related
risk,
such
socio-demographic
characteristics,
anthropometric
parameters,
lifestyle
factors,
reproductive
nutrient
intakes,
diet
quality
indices,
medical
history,
medication
family
biochemical
genetic
factors.
six
models
were
developed
using
techniques,
including
decision
tree,
random
forest,
multilayer
perceptron,
support
vector
machine,
light
gradient
boosting
extreme
(XGBoost).
two
tools,
assessment
instrument
(ORAI)
self-assessment
tool
(OST).
performances
evaluated
confusion
matrix
area
under
curve
(AUC)
metrics.
Variable
importance
assessed
XGBoost
technique
investigate
showed
highest
out
models,
an
accuracy
0.705,
precision
0.664,
recall
0.830,
F1
score
0.738.
Moreover,
higher
AUC
than
ORAI
OST.
scores
identified
69
associated
Age
at
menopause
ranked
first
Variables
arthritis,
physical
activities,
hypertension,
education
level,
income
level;
alcohol
intake,
potassium
homeostatic
insulin
resistance;
energy
vitamin
C
gout;
dietary
inflammatory
index
top
20
variables,
technique.
found
that
can
be
utilized
classify
women.
is
significant
factor
followed
by
level.
Abstract
Background
Osteoporosis
is
a
prevalent
bone
disease
that
increases
frailty.
Developing
nomogram
prediction
model
to
predict
osteoporosis
risk
at
multiple
time
points
using
mineral
densities,
behavioral
habits,
and
clinical
factors
would
be
essential
identify
individual
guide
prevention.
Methods
The
study
population
from
the
UK
Biobank
was
followed
2014
December
31st,
2022.
outcome
identified
as
first
occurrence
of
in
during
follow-up
period.
After
rebalancing
with
synthetic
minority
over-sampling
technique,
developed
LASSO
Cox
regression.
Model
discrimination
between
different
levels
visualised
Kaplan-Meier
curves,
performance
evaluated
integrated
c-index,
time-dependent
AUC,
calibration
curves
decision
curve
analysis
(DCA).
Results
several
for
osteoporosis,
including
higher
age,
underweight,
various
(such
menopause,
lower
hand
grip
strength,
density,
fracture
history
within
5
years,
chronic
hypercholesterolemia,
cardiovascular
disease,
arthritis,
cancer).
showed
predicted
by
were
significantly
distinct.
c-indexes
0.844
0.823
training
validation
datasets,
respectively.
Time-dependent
DCA
indicated
good
discrimination,
fit
utility,
Conclusions
could
properly
quantify
five-year
high-risk
individuals.
This
might
effectively
reduce
burden
on
population.