Joint association of systemic immune-inflammation index and phenotypic age acceleration with chronic respiratory disease: a cross-sectional study
BMC Public Health,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 16, 2025
Chronic
respiratory
diseases
(CRD)
represents
a
series
of
lung
disorders
and
is
posing
global
health
burden.
Systemic
inflammation
phenotypic
ageing
have
been
respectively
reported
to
associate
with
certain
CRD.
However,
little
known
about
the
co-exposures
mutual
associations
Here,
we
aim
systematically
elucidate
joint
mediating
systemic
immune-inflammation
index
(SII)
age
acceleration
(PhenoAgeAccel)
CRD
based
on
data
from
National
Health
Nutrition
Examination
Survey
(NHANES).
Data
for
this
study
was
obtained
NHANES
2007-2010
2015-2018.
The
single
combined
SII
PhenoAgeAccel
were
analyzed
using
multivariable
logistic
regression
models.
dose-response
relationship
between
exposures
outcomes
determined
by
restricted
cubic
splines
(RCS)
regression.
Subgroup
mediation
analyses
further
conducted.
Totally,
15,075
participants
enrolled
in
including
3,587
patients.
Compare
controls,
patients
tended
be
older,
females
present
higher
values.
Single-index
analysis
indicated
that
either
or
demonstrated
significantly
positive
association
via
regressions
RCS
curves.
Furthermore,
joint-indexes
revealed
compared
individuals
lower
PhenoAgeAccel,
those
exhibited
remarkably
stronger
(adjusted
OR
[aOR],
1.56;
95%
CI,
1.31-1.85;
P
<
0.001),
chronic
obstructive
pulmonary
disease
(aOR,
1.22-2.00;
=
0.001)
asthma
1.40;
1.16-1.70;
which
predominant
among
aged
above
40
years,
smokers.
Eventually,
suggested
effects
mediated
resulting
more
significantly.
This
confirmed
coexposure
effect
We
recommend
assessment
may
conduce
accurate
identification
populations
susceptible
early
prevention
diseases.
Язык: Английский
The Association of Systemic Inflammatory Response with Hepatitis B Vaccine Unresponsiveness
Viruses,
Год журнала:
2025,
Номер
17(3), С. 338 - 338
Опубликована: Фев. 28, 2025
(1)
Background:
Hepatitis
B
virus
(HBV)
infection
remains
a
major
health
challenge.
Although
vaccination
protects
people
from
HBV
infection,
5–10%
of
at
risk
and
associated
liver
diseases
do
not
respond
to
vaccination.
The
association
hematological
indices
with
vaccine
response
is
crucial
contributing
factor
in
HBV-associated
damage
the
outcome
patients.
In
this
context,
we
clinically
assessed
interaction
between
inflammatory
parameters
for
first
time.
(2)
Methods:
total,
90
volunteers
(44
non-responders
46
responders)
were
included
retrospective
study.
demographic
data
hemogram
recorded
statistically
analyzed.
Additionally,
systemic
inflammation
index
(SII),
platelet-to-lymphocyte
ratio
(PLR),
neutrophil-to-lymphocyte
(NLR)
calculated.
(3)
Results:
Our
results
indicate
that
higher
median
levels
white
blood
cells
(8.61),
lymphocytes
(2.37),
neutrophils
(5.71),
platelets
(280)
determined
compared
responders.
SII
NLR
significantly
than
responders
(p
<
0.05).
(4)
Conclusions:
exerted
indicators
responders,
value
partially
distinguished
response.
Nevertheless,
further
studies
larger
cohorts
are
essential
confirm
clinical
utility
as
reliable
criterion
predicting
responsiveness.
Язык: Английский
Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999–2018
Frontiers in Public Health,
Год журнала:
2025,
Номер
13
Опубликована: Апрель 4, 2025
Background
This
study
aimed
to
evaluate
the
relationship
between
CBC-derived
inflammatory
markers
(NLR,
PLR,
NPAR,
SII,
SIRI,
and
AISI)
all-cause
mortality
(ACM)
risk
in
arthritis
(AR)
patients
with
hypertensive
(HTN)
using
data
from
NHANES.
Methods
We
employed
weighted
multivariable
logistic
regression
WQS
explore
ACM
AR
patients,
as
well
determine
weights
of
different
markers.
Kaplan–Meier
curves,
restricted
cubic
splines
(RCS)
ROC
curves
were
utilized
monitor
cumulative
survival
differences,
non-linear
relationships
diagnostic
utility
for
risk,
respectively.
Key
selected
XGBoost
LASSO
machine
learning
methods,
a
nomogram
prognostic
model
was
constructed
evaluated
through
calibration
decision
curve
analysis
(DCA).
Results
The
included
4,058
HTN,
1,064
deaths
over
median
89-month
follow-up.
All
six
significantly
higher
deceased
group
(
p
<
0.001).
Weighted
showed
these
markers’
elevated
levels
correlated
increased
across
all
models
linked
marker
scores
lower
rates
HTN
found
positive
correlation
0.001),
NPAR
having
greatest
impact
(70.02%)
SIRI
next
(29.01%).
had
highest
AUC
(0.624)
prediction,
closely
followed
by
(AUC
=
0.618).
identified
most
influential
markers,
LASSO-based
correlating
(HR,
2.07;
95%
CI,
1.83–2.35;
0.01).
RCS
revealed
correlations
(Pnon-linear<0.01)
showing
sharp
increase
when
>148.56
>1.51.
A
optimally
predicted
overall
survival.
Conclusion
These
results
underscore
necessity
monitoring
managing
indicators
clinical
settings
potentially
improving
patient
outcomes.
Язык: Английский
Machine Learning‐Based Immuno‐Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture
Immunity Inflammation and Disease,
Год журнала:
2025,
Номер
13(4)
Опубликована: Апрель 1, 2025
ABSTRACT
Background
Coronary
artery
plaque
rupture
(PR)
is
closely
associated
with
immune‐inflammatory
responses.
The
systemic
inflammatory
index
(SII)
and
the
response
(SIRI)
have
shown
potential
in
predicting
occurrence
of
PR.
Objective
This
study
aims
to
establish
a
machine
learning
(ML)
model
that
integrates
baseline
patient
characteristics,
SII,
SIRI
predict
goal
identify
high‐risk
PR
patients
before
intravascular
imaging
examinations.
Methods
We
included
337
acute
coronary
syndrome
who
underwent
emergency
percutaneous
intervention
optical
coherence
tomography
(OCT)
at
Affiliated
Hospital
Zunyi
Medical
University,
China,
from
May
2023
October
2023.
was
determined
by
OCT
images.
Through
manual
feature
selection,
nine
features,
including
SII
SIRI,
were
included,
an
ML
built
using
XGBoost
algorithm.
Model
performance
evaluated
receiver
operating
characteristic
curves
calibration
curves.
SHAP
values
used
assess
contribution
each
model.
Results
demonstrated
higher
area
under
curve
value
(AUC
=
0.81)
compared
or
alone
for
prediction.
also
showed
good
calibration.
revealed
top
three
features
LDL‐C,
SIRI.
Conclusion
immuno‐inflammatory
index,
which
comprehensive
clinical
can
However,
large‐scale,
multicenter
studies
are
needed
confirm
generalizability
predictive
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
Joint association of systemic immunue-inflammation index and phenotypic age acceleration with chronic respiratory disease: a cross-sectional study
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 11, 2024
Abstract
Background
Chronic
respiratory
diseases
(CRD)
represents
a
series
of
lung
disorders
and
is
posing
global
health
burden.
Systemic
inflammation
phenotypic
ageing
have
been
respectively
reported
to
associate
with
certain
CRD.
However,
little
known
about
the
co-exposures
mutual
associations
Here,
we
aim
systematically
elucidate
joint
mediating
systemic
immune-inflammation
index
(SII)
age
acceleration
(PhenoAgeAccel)
CRD
based
on
data
from
National
Health
Nutrition
Examination
Survey
(NHANES).
Methods
Data
for
this
study
was
obtained
NHANES
2007–2010
2015–2018.
The
single
combined
SII
PhenoAgeAccel
were
analyzed
using
multivariable
logistic
regression
models.
dose-response
relationship
between
exposures
outcomes
determined
by
restricted
cubic
splines
(RCS)
regression.
Subgroup
mediation
analyses
further
conducted.
Results
Totally,
15,075
participants
enrolled
in
including
3,587
patients.
Compare
controls,
patients
tended
be
older,
females
present
higher
values.
Single-index
analysis
indicated
that
either
or
demonstrated
significantly
positive
association
via
regressions
RCS
curves.
Furthermore,
joint-indexes
revealed
compared
individuals
lower
PhenoAgeAccel,
those
exhibited
remarkably
stronger
(adjusted
OR
[aOR],
1.53;
95%
CI,
1.28–1.81;
P
<
0.001),
chronic
obstructive
pulmonary
disease
(aOR,
1.58;
1.23–2.03;
0.001)
asthma
1.37;
1.14–1.66;
=
0.002),
which
predominant
among
aged
above
40
years,
smokers.
Eventually,
suggested
effects
mediated
resulting
more
significantly.
Conclusion
This
confirmed
coexposure
effect
We
recommend
assessment
may
conduce
accurate
identification
populations
susceptible
early
prevention
diseases.
Язык: Английский
Eosinophil–Basophil/Lymphocyte (EB/LR) and Eosinophil–Basophil–Platelet/Lymphocyte (EBP/LR) Ratios Could Serve as Useful Additional Markers for Assessing the Severity of Wasp Allergic Reactions
Cells,
Год журнала:
2024,
Номер
13(21), С. 1786 - 1786
Опубликована: Окт. 28, 2024
Wasp
venom
allergy
can
trigger
severe
allergic
reactions,
and
predicting
these
acute
responses
remains
challenging.
This
study
evaluates
the
utility
of
immune
system
indexes,
particularly
eosinophil–basophil/lymphocyte
(EB/LR)
eosinophil–basophil–platelet/lymphocyte
(EBP/LR)
ratios,
in
assessing
severity
reactions
patients
with
wasp
allergy.
A
total
61
confirmed
were
categorized
according
to
Mueller
scale,
which
classifies
reactions.
Blood
samples
analyzed
for
specific
IgE
levels
alongside
a
range
hematological
biochemical
parameters.
found
significant
differences
EB/LR
EBP/LR
indexes
between
mild
(Mueller
I–II)
III–IV)
higher
values
indicating
more
responses.
However,
no
observed
other
such
as
platelet-to-lymphocyte
ratio,
neutrophil-to-lymphocyte
systemic
immune-inflammation
index,
inflammatory
response
well
additional
blood
These
findings
suggest
that
ratios
may
serve
useful
markers
is
first
establish
link,
although
further
research
larger
cohorts
necessary
confirm
results
their
potential
application
clinical
settings.
Язык: Английский
Systemic Immune–Inflammatory Index and Other Inflammatory Marker Variations in Oral Squamous Cell Carcinoma Management
Medicina,
Год журнала:
2024,
Номер
60(11), С. 1840 - 1840
Опубликована: Ноя. 8, 2024
Background
and
Objectives:
With
the
greatest
rate
of
morbidity
death,
OSCC
is
one
world’s
most
critical
public
health
problems.
Being
a
complex
pathology,
management
process
that
includes
diagnostic,
surgical,
adjuvant
treatments
must
as
well
take
into
account
involvement
immune
system.
This
study
aims
to
evaluate
various
biomarkers
such
neutrophils,
lymphocytes,
platelets,
SII,
NLR
in
different
stages
treatment
correlation
with
TNM
stages,
order
observe
inflammatory
response
host.
Materials
Methods:
A
total
154
patients
diagnosed
were
included
present
retrospective
study.
Routine
blood
samples
collected
from
all
both
before
after
surgery.
Using
detected
values
lymphocyte
count,
systemic
immune–inflammation
index
(SII)
neutrophil-to-lymphocyte
ratio
(NLR)
calculated.
Based
on
oncologist’s
recommendation,
46
underwent
radiotherapy
part
their
oncologic
plan.
For
these
patients,
additional
first
last
session
for
determining
SII
calculation.
Results:
Prior
session,
neutrophils
decreased
slightly
4.35,
lymphocytes
increased
2.23,
platelets
rose
258.62.
The
641.02
2.19,
respectively.
Following
substantially
10.30,
while
1.21.
Platelets
showed
slight
reduction
227.08.
Notably,
dramatically
3084.19,
significantly
15.49,
suggesting
an
important
Conclusions:
host’s
immunological
responses
are
impacted
by
surgery
radiation
administered
following
parameters
assessed—neutrophils,
NLR—qualify
significant
variables
need
be
monitored
before,
during,
therapy.
study’s
findings
validated
changes
markers
OSCC.
Язык: Английский
The Importance of Panimmune Inflammation Value and Systemic Immuno-Inflammation Index in Patients with Acute Cerebrovascular Infarction
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 2, 2024
Abstract
Stroke
is
a
condition
that
negatively
affects
the
quality
of
life
in
all
societies
and
one
leading
causes
mortality
adults.
It
second
most
common
cause
death
disability
worldwide.
Acute
ischemic
stroke
leads
to
severe
physical,
social,
psychological,
economic
devastation.
Early
accurate
diagnosis
these
patients
emergency
department
crucial
for
timely
treatment.
This
study
aimed
investigate
course
pan-immune
inflammation
value
(PIV),
systemic
immune-inflammation
index
(SII),
inflammatory
response
(SIRI),
which
are
discussed
as
new
markers
diagnosed
with
acute
stroke.
Materials
Methods:
retrospective
compared
obtained
from
complete
blood
count
results
between
01.01.2022
01.03.2024
those
healthy
individuals.
Findings:
In
our
study,
201
100
individuals
were
compared.
The
demonstrated
markers,
including
Pan-Immune
Inflammation
Value
Systemic
Immune-Inflammation
Index
Inflammatory
Response
significantly
higher
group
control
(p
<
0.05).
Specifically,
neutrophil,
CRP,
PIV,
SII,
SIRI,
NLR
values
elevated
group,
while
lymphocyte
hemoglobin
levels
group.
Conclusion:
highlights
potential
SIRI
novel
biomarkers
predicting
prognosis
patients.
These
may
serve
cost-effective
practical
tools
early
risk
stratification
clinical
settings.
Further
studies
dynamic
evaluations
needed
explore
long-term
prognostic
markers.
Язык: Английский