Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 8, 2023
Abstract
Objective:
To
study
the
predictive
effect
of
systemic
immune-inflammatory
index
(SII)
on
cancer
prevalence
and
mortality.
Methods:
Participants
with
SII
status
were
screened
from
National
Health
Nutrition
Examination
Survey
database
1999
to
2010,
their
baseline
characteristics
analyzed
according
tertile.
Multivariable
logistical
or
Cox
proportional
hazards
models
used
analyze
associations
between
The
mortality
was
followed
through
December
31
2018.
For
further
evaluation
specified
outcomes,
restricted
cubic
spline
two
piecewise
regression
adopted.
Results:
This
eventually
included
26,049
individuals,
whom
2,432
patients.
According
tertile
group,
increased
significantly
rise
SII.
In
highest
SII,
related
(OR=1.45,
95%CI=
1.31
-
1.61,
p<0.05).
Moreover,
during
a
median
follow-up
12.75
year,
329,
351,
1,202
cardiovascular,
all-cause
deaths
occurred
among
patients,
respectively.
results
indicated
that
level
associated
cardiovascular
(HR=1.80,
1.28
2.52),
(HR=1.64,
2.09)
(HR=1.56,
1.31-
1.85).
model
adjusted
for
multiple
covariates
still
showed
same
trend.
U-shaped
dose-response
log-transformed
(ln-SII)
detected.
threshold
values
ln-SII
lowest
risk
prevalence,
5.44,
6.21,
6.27
Above
thresholds,
positively
above
outcomes.
Conclusion:
may
be
potential
earlier
warning
marker
total
cancers.
Journal of Inflammation Research,
Journal Year:
2024,
Volume and Issue:
Volume 17, P. 8891 - 8904
Published: Nov. 1, 2024
Nutritional
status
is
a
critical
indicator
of
overall
health
and
immune
function,
significantly
influencing
treatment
outcomes.
Despite
its
importance,
the
nutritional
patients
with
systemic
lupus
erythematosus
(SLE)
often
receives
insufficient
attention.
This
study
aims
to
evaluate
SLE,
identify
factors
associated
malnutrition,
develop
risk
prediction
model
for
malnutrition
in
this
population.
World Journal of Surgical Oncology,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Dec. 20, 2024
The
systemic
inflammatory
response
index
(SIRI)
is
calculated
via
the
following
formula:
SIRI
=
monocyte
count
×
neutrophil
count/lymphocyte
count.
value
of
in
predicting
prognosis
gastric
cancer
(GC)
remains
controversial.
This
study
revealed
precise
effect
GC
through
a
meta-analysis.
ability
to
predict
was
evaluated
by
calculating
combined
hazard
ratios
(HRs)
and
95%
confidence
intervals
(CIs).
Furthermore,
odds
(ORs)
CIs
were
determined
analyze
associations
between
clinicopathological
characteristics
patients
with
GC.
Seven
publications
on
total
1763
cases
included
this
study.
threshold
0.58
1.35,
median
0.85.
Our
pooled
findings
that
higher
significantly
linked
poor
overall
survival
(OS)
(HR
1.87,
CI
1.59–2.20,
p
<
0.001)
disease-free
(DFS;
HR
1.88,
1.50–2.36,
patients.
However,
did
not
exhibit
significant
association
sex
(OR
1.98,
0.82–4.75,
0.126),
surgery
type
0.96,
0.61–1.51,
0.847),
tumor
differentiation
0.75,
0.54–1.06,
0.099),
or
TNM
stage
1.25,
0.34–4.62,
0.743)
An
elevated
associated
unfavorable
OS
DFS
Thus,
reliable
biomarker
for
clinical
practice.
PubMed,
Journal Year:
2024,
Volume and Issue:
49(12), P. 1909 - 1918
Published: Dec. 28, 2024
Peripheral
whole
blood
cell
counts
have
been
used
as
prognostic
indicators
for
various
cancers,
but
their
predictive
value
in
nasopharyngeal
carcinoma
remain
unclear.
This
study
aims
to
evaluate
the
significance
of
pretreatment
hemoglobin×lymphocyte/monocyte
ratio
(HLMR)
non-recurrent,
non-metastatic
NPC
patients
undergoing
definitive
radiotherapy.
Clinical
and
follow-up
data
from
805
who
completed
radiotherapy
or
chemoradiotherapy
were
retrospectively
analyzed.
Pretreatment
hemoglobin,
lymphocyte
count,
monocyte
count
collected
calculate
HLMR.
Receiver
operating
characteristic
(ROC)
curves
determine
optimal
cut-off
Patients
then
classified
into
high
low
HLMR
groups.
The
association
between
clinicopathological
was
assessed
using
chi-square
tests.
Independent
factors
overall
survival
(OS)
progression-free
(PFS)
identified
Cox
proportional
hazards
models.
A
nomogram
constructed
based
on
independent
predictors
estimate
patient
rates,
internal
validation
performed
a
cohort.
ROC
curve
605.5
predicting
5-year
survival.
Multivariate
regression
analysis
revealed
that
T
stage
(HR=1.886,
95%
CI
1.331
2.673,
P<0.001),
N
(HR=2.021,
1.267
3.225,
P=0.003),
Eastern
Cooperative
Oncology
Group
(ECOG)
score
(HR=3.991,
1.257
12.677,
P=0.019),
concurrent
regimen
(HR=0.338,
0.156
0.731,
P=0.006),
(HR=0.648,
0.460
0.912,
P=0.013)
OS.
including
stage,
training
cohort
predict
3-,
5-,
7-year
OS,
with
C-index
0.713.
area
under
OS
0.744,
0.665,
0.682,
respectively.
Calibration
showed
good
agreement
predicted
observed
rates.
above
results
further
confirmed
may
serve
promising
biomarker
carcinoma.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 8, 2023
Abstract
Objective:
To
study
the
predictive
effect
of
systemic
immune-inflammatory
index
(SII)
on
cancer
prevalence
and
mortality.
Methods:
Participants
with
SII
status
were
screened
from
National
Health
Nutrition
Examination
Survey
database
1999
to
2010,
their
baseline
characteristics
analyzed
according
tertile.
Multivariable
logistical
or
Cox
proportional
hazards
models
used
analyze
associations
between
The
mortality
was
followed
through
December
31
2018.
For
further
evaluation
specified
outcomes,
restricted
cubic
spline
two
piecewise
regression
adopted.
Results:
This
eventually
included
26,049
individuals,
whom
2,432
patients.
According
tertile
group,
increased
significantly
rise
SII.
In
highest
SII,
related
(OR=1.45,
95%CI=
1.31
-
1.61,
p<0.05).
Moreover,
during
a
median
follow-up
12.75
year,
329,
351,
1,202
cardiovascular,
all-cause
deaths
occurred
among
patients,
respectively.
results
indicated
that
level
associated
cardiovascular
(HR=1.80,
1.28
2.52),
(HR=1.64,
2.09)
(HR=1.56,
1.31-
1.85).
model
adjusted
for
multiple
covariates
still
showed
same
trend.
U-shaped
dose-response
log-transformed
(ln-SII)
detected.
threshold
values
ln-SII
lowest
risk
prevalence,
5.44,
6.21,
6.27
Above
thresholds,
positively
above
outcomes.
Conclusion:
may
be
potential
earlier
warning
marker
total
cancers.