NUTRITIONAL STATUS IN PATIENTS WITH LATE-ONSET RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY
Anti-Aging Eastern Europe,
Год журнала:
2025,
Номер
4(1), С. 34 - 44
Опубликована: Апрель 2, 2025
Introduction.
This
study
aimed
to
investigate
the
nutritional
status
of
older
patients
with
rheumatoid
arthritis
(RA)
classified
as
earlier-onset
(EORA)
and
late-onset
(LORA).
Methods.
The
cross-sectional
included
145
RA
(72
LORA,
73
EORA).
Clinical
demographic
data,
were
recorded.
was
determined
using
Mini-Nutritional
Assessment
(MNA),
Prognostic
Nutritional
Index
(PNI),
Controlling
Status
(CONUT),
Geriatric
Risk
(GNRI)
indices.
rheumatologic
data
EORA
LORA
compared.
Patients
in
both
groups
divided
into
two
according
DAS28-CRP
index
(cut
off=
3.2),
cross
comparisons
made
Also,
prediction
disease
activity
by
malnutrition
GNRI
scale
evaluated
ROC
analysis.
Results.
highest
prevalence
20.5%,
measured
CONUT
score.
mean
score
statistically
higher
group
than
(128.38±15.36
vs.
121.96±21;
p=0.040),
a
significant
difference
observed
between
categories,
indicating
more
(p=0.009).
In
cross-comparisons,
showed
lower
values
high
compared
those
without,
patient
(p
=
0.023
for
EORA;
p
0.011
LORA).
However,
on
analysis,
able
predict
only
[AUC
(CI):0.594
(0.451-0.737);
p=0.041].
Conclusion.
present
demonstrated
that
prevalent
Furthermore,
it
revealed
time
onset
should
be
conjunction
during
assessment
patients.
Язык: Английский
Development and validation of a prognostic nomogram for predicting mortality risk in adult rheumatoid arthritis: an analysis of NHANES 1999–2018 data
Frontiers in Immunology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 17, 2025
Objective
This
study
aims
to
identify
potential
independent
risk
factors
for
rheumatoid
arthritis
(RA)-
related
mortality
and
develop
a
nomogram
model
predict
individualized
risk.
Methods
included
310
RA
patients
from
the
National
Health
Nutrition
Examination
Survey
(NHANES)
during
1999
-
2018.
We
applied
LASSO,
univariate,
multivariate
logistic
regression
analyses
determine
in
training
cohort
construct
model.
Calibration
plots
evaluated
nomogram’s
accuracy.
Finally,
we
established
clinical
utility
through
DCA
performed
internal
validation
within
cohort.
Results
Of
patients,
140
experienced
deaths,
corresponding
rate
of
45.16%.
Within
cohort,
age,
heart
failure,
systemic
inflammatory
response
index
(SIRI)
emerged
as
predictors
mortality.
A
model,
constructed
multivariable
analysis,
demonstrated
an
AUC
0.
852
(95%
CI:
799
904)
904
846
963)
The
calibration
curve
revealed
strong
agreement
between
predicted
actual
probabilities.
In
both
cohorts,
highlighted
significant
net
benefits
predicting
Conclusions
demonstrates
SIRI’s
ability
with
good
discrimination
utility.
gives
clinicians
simple
tool
quickly
high
promoting
early
intervention,
personalized
treatment,
better
prognosis.
Язык: Английский