A Prediction Model for the Diagnosis of Sepsis Based on the Classification of Acute Gastrointestinal Injury
Sun Yu,
No information about this author
Chunyang Xu,
No information about this author
Shun Wen
No information about this author
et al.
British Journal of Hospital Medicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 19
Published: May 19, 2025
Aims/Background
The
existing
screening
approaches
for
sepsis
demonstrate
lower
sensitivity,
potentially
resulting
in
misdiagnosis
of
septic
conditions.
gastrointestinal
tract
is
the
primary
and
most
susceptible
organ
during
sepsis.
Therefore,
this
study
aims
to
establish
evaluate
a
predictive
model
based
on
classification
acute
injury
(AGI),
improve
diagnostic
sensitivity.
Methods
This
retrospective
included
patients
with
confirmed
infections
or
suspected
who
were
admitted
general
ward
Changshu
Hospital
Affiliated
Soochow
University
(Changshu
First
People's
Hospital,
China)
between
April
2023
December
2023.
Patients
randomly
divided
into
developing
cohort
(n
=
1667)
validation
712)
7:3
ratio.
Furthermore,
data
collected
various
variables,
including
inflammatory
factors,
hemodynamic
dysfunction
tissue
perfusion
variables.
Univariate
analysis
was
used
screen
risk
factors
associated
sepsis,
logistic
regression
employed
identify
independent
factors.
nomogram
constructed
these
Additionally,
prediction
significance
evaluated
using
receiver
operating
characteristic
(ROC)
curves,
calibration
decision
curve
(DCA)
across
both
cohorts.
Results
Out
total
2379
study,
rate
12.5%.
incidence
AGI
96.0%,
23.2%
grade
I,
52.3%
II,
16.1%
III,
4.4%
IV.
Factors
like
age
(Odds
Ratio
(OR)
1.029,
95%
Confidence
Interval
(CI)
1.015–1.043,
p
<
0.01),
hypotension
(OR
3.863,
CI
2.372–6.290,
oxygen
saturation
(SpO
2
)
0.795,
0.751–0.840,
thrombocytopenia
5.657,
2.835–11.289,
0.01)
7.151,
5.040–10.144,
observed
as
predictors
Based
five
(model
B)
developed.
Model
B
achieved
area
under
(AUC)
0.947
(95%
0.932–0.963)
0.962
0.945–0.978)
cohorts,
respectively,
which
significantly
higher
than
AUC
value
quick
Sequential
Organ
Failure
Assessment
(qSOFA)
A).
curves
datasets
close
ideal
model.
Decision
revealed
that
exhibited
better
net
clinical
benefit
A.
Conclusion
developed
validated
novel
could
predict
wards,
helping
decision-making.
Language: Английский
Gut microbiota and oral cavity cancer: a two-sample bidirectional Mendelian randomization study
Zhijuan Sun,
No information about this author
Chunying Bai,
No information about this author
Dandan Hao
No information about this author
et al.
Frontiers in Oncology,
Journal Year:
2024,
Volume and Issue:
14
Published: May 30, 2024
This
study
employs
a
two-sample
bidirectional
Mendelian
randomization
(MR)
approach
to
systematically
evaluate
the
causal
relationship
between
gut
microbiota
and
oral
cavity
cancer
(OCC).
Objective
To
address
challenge
in
establishing
OCC,
we
applied
systematic
MR
analysis.
Methods
Utilizing
GWAS
data
from
MiBioGen
consortium
(18,340
individuals)
UK
Biobank
(n
=
264,137),
selected
instrumental
variables
employed
MR-Egger,
weighted
median,
IVW,
mode
analyses.
Heterogeneity
pleiotropy
were
assessed
using
Cochran’s
Q
test
MR-Egger
intercept
test.
Results
Our
findings
indicate,
at
order
level,
Bacteroidales
(OR
0.9990,
95%
CI
0.9980–1.0000,
P
0.046
),
Burkholderiales
1.0009,
1.0001–1.0018,
0.033
Victivallales
0.9979,
0.9962–0.9995,
0.037
)
exhibit
causality
on
OCC
Weighted
analyses,
respectively.
At
family
Alcaligenaceae
1.0012,
1.0004–1.0019,
0.002
Clostridiaceae1
0.9970,
0.9948–0.9992,
0.027
show
IVW
genus
Clostridiumsensustricto1
(IVW,
OR
0.9987,
0.9980–0.9995,
0.001
;
0.9978,
0.035
Desulfovibrio
1.0008,
1.0001–1.0015,
0.016
Eggerthella
0.9995,
0.9990–1.0000,
0.048
Eubacterium
fissicatena
group
1.0005,
1.0000–1.0009,
0.032
Holdemanella
0.9994,
0.9989–0.9999,
0.018
are
implicated
causing
related
Conclusion
identifies
order,
family,
genus,
as
causally
increasing
risk.
In
contrast,
associated
with
decreased
However,
further
investigations
essential
delineate
an
optimal
composition
unravel
underlying
mechanisms
of
specific
bacterial
taxa
pathophysiology.
Language: Английский
Causal associations between gut microbiota and premature rupture of membranes: a two-sample Mendelian randomization study
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 2, 2024
Background
Previous
study
has
indicated
a
potential
link
between
gut
microbiota
and
maternal
pregnancy
outcomes.
However,
the
causal
relationship
premature
rupture
of
membranes
(PROM)
remains
topic
ongoing
debate.
Methods
A
two-sample
Mendelian
Randomization
(MR)
was
used
to
investigate
PROM.
Genetic
data
on
obtained
from
MiBioGen
consortium’s
largest
genome-wide
association
(GWAS)
(n=14,306).
PROM
(3011
cases
104247
controls)
were
sourced
publicly
available
GWAS
Finnish
National
Biobank
FinnGen
consortium.
Various
methods
including
Inverse
variance
weighted
(IVW),
MR-Egger,
simple
mode,
median,
mode
utilized
assess
by
calculating
odd
ratio
(OR)
value
confidence
interval
(CI).
Sensitivity
analyses
for
quality
control
performed
using
MR-Egger
intercept
tests,
Cochran’s
Q
leave-one-out
analyses.
Results
The
IVW
method
revealed
that
class
Mollicutes
(IVW,
OR=0.773,
95%CI:
0.61-0.981,
pval
=
0.034),
genus
Marvinbryantia
OR=00.736,
0.555-0.977,
Ruminooccaceae
UCG003
OR=0.734,
0.568-0.947,
0.017)
phylum
Tenericutes
0.566-1.067,
0.034)
associated
with
reduced
risk
PROM,
while
Collinsella
OR=1.444,
1.028-2.026,
Intestinibacter
OR=1.304,
1.047-1.623,
0.018)
Turicibacter
OR=1.282,
1.02-1.611,
0.033)
increased
Based
other
four
supplementary
methods,
six
may
have
effect
Due
presence
pleiotropy
(
=0.045),
Lachnoclostridium
should
be
ruled
out.
No
evidence
horizontal
or
heterogeneity
found
in
>
0.05).
Conclusions
In
this
study,
we
discovered
specific
probiotics
pathogens
host
identification
through
MR
studies
offers
novel
approach
diagnosing
treating
condition,
thereby
providing
new
strategy
clinically
preventing
Language: Английский
Muramyl dipeptide potentiates Staphylococcus aureus lipoteichoic acid-induced nitric oxide production via TLR2/NOD2/PAFR signaling pathways
Jintaek Im,
No information about this author
Jun Ho Jeon,
No information about this author
Dong‐Wook Lee
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 6, 2024
Lipoteichoic
acid
(LTA)
and
peptidoglycan
(PGN)
are
considered
as
key
virulence
factors
of
Language: Английский
脓毒症免疫抑制与肠道菌群失调
Yutong Guo,
No information about this author
H J Zhang,
No information about this author
Liqin Cheng
No information about this author
et al.
Scientia Sinica Vitae,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 24, 2024
Causal effect of gut microbiota on venous thromboembolism: a two-sample mendelian randomization study
Linfeng Xi,
No information about this author
Hongyi Wang,
No information about this author
Jie Du
No information about this author
et al.
Thrombosis Journal,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Nov. 29, 2024
The
gut
microbiota
of
venous
thromboembolism
(VTE)
patients
exhibited
significant
alterations.
However,
the
causal
relationship
between
and
VTE
has
not
been
fully
understood.
This
study
aimed
to
assess
risk
using
a
two-sample
Mendelian
Randomization
(MR)
study.
genetic
data
were
collected
from
MiBioGen
consortium
UK
biobank,
respectively.
potential
was
investigated
MR
analysis,
including
inverse
variance
weighted
(IVW),
median,
MR-Egger,
simple
mode,
mode
methods.
Cochran's
Q-test,
MR-PRESSO,
MR-Egger
regression
intercept
analysis
utilized
perform
sensitivity
analysis.
At
genus
level,
results
found
that
Coprococcus1
(OR:
1.0029,
95%
CI:
1.0005–1.0054,
p
=
0.0202)
suggestively
linked
with
an
increased
VTE,
while
Slackia
(odds
ratio
(OR):
0.9977,
confidence
interval
(CI):
0.9957–0.9998,
0.0298),
Butyricicoccus
0.9971,
0.9945–0.9997,
0.0309),
Eubacterium
coprostanoligenes
group
0.9972,
0.9946–0.9999,
0.0445),
Bacteroides
0.9964,
0.9932–0.9995,
0.0234)
associated
reduced
VTE.
No
heterogeneity
horizontal
pleiotropy
detected.
there
relationships
five
Our
findings
may
provide
new
insights
into
mechanisms
Language: Английский