Identifying key blood markers for bacteremia in elderly patients: insights into bacterial pathogens
Shi‐Yan Zhang,
No information about this author
Ying Zhuo,
No information about this author
Bu-Ren Li
No information about this author
et al.
Frontiers in Cellular and Infection Microbiology,
Journal Year:
2025,
Volume and Issue:
14
Published: Jan. 16, 2025
This
study
aimed
to
assess
the
distribution
of
bacteremia
pathogens
in
elderly
patients,
examine
impact
gender
on
pathogen
distribution,
and
evaluate
predictive
value
routine
blood
parameters
for
diagnosing
bacteremia.
A
retrospective
analysis
was
conducted
151
patients
(≥60
years
old)
admitted
Fuding
Hospital,
Fujian
University
Traditional
Chinese
Medicine
between
October
2022
June
2023.
Comprehensive
tests
cultures
were
performed.
The
diagnostic
efficacy
parameters,
including
white
cell
(WBC),
neutrophil-to-lymphocyte
ratio
(NLR),
platelet-lymphocyte
(PLR),
red
width
(RDW),
evaluated
using
receive
operating
characteristic
(ROC)
curve
analysis.
Patients
categorized
into
either
culture-positive
group
(82
cases)
or
culture-negative
(69
according
culture
results.
No
significant
differences
age
found
groups.
primary
bacterial
Escherichia
coli,
Klebsiella
pneumoniae
Streptococcus.
Elderly
female
demonstrated
a
significantly
higher
positivity
rate
E.
coli
compared
their
male
counterparts
(P
=
0.021).
areas
under
ROC
(AUC)
four
as
follows:
WBC,
0.851
(95%
confidence
interval
(CI)
0.790
-
0.912);
NLR,
0.919
CI
0.875
0.963);
PLR,
0.609
0.518
0.700);
RDW
0.626
0.563
0.717).
identified
predominant
pathogenic
microorganism
causing
elderly,
with
among
patients.
Routine
(WBC,
RDW)
potential
Language: Английский
Using random forest and biomarkers for differentiating COVID-19 and Mycoplasma pneumoniae infections
Xun Zhou,
No information about this author
Jie Zhang,
No information about this author
Xiu-Mei Deng
No information about this author
et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Sept. 30, 2024
Language: Английский
Precision diagnostics of COVID-19 and Mycoplasma pneumoniae through random forest and biomarkers integration
Xun Zhou,
No information about this author
Jie Zhang,
No information about this author
Xiu-Mei Deng
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 16, 2024
Abstract
The
COVID-19
pandemic
has
highlighted
the
critical
need
for
precise
diagnostic
methods
to
distinguish
between
similar
respiratory
infections
such
as
and
Mycoplasma
pneumoniae
(MP).
Identifying
key
biomarkers
utilizing
machine
learning
techniques
like
Random
Forest
analysis
can
significantly
improve
accuracy.
We
conducted
a
retrospective
of
clinical
laboratory
data
from
214
acute
patients,
categorized
into
three
groups:
positive
(n
=
52),
MP-positive
140),
co-infected
with
both
22).
Key
including
C-reactive
protein
(CRP),
procalcitonin
(PCT),
interleukin
6
(IL-6),
white
blood
cell
(WBC)
counts
were
evaluated.
algorithm
was
applied
analyze
discriminative
power
these
biomarkers.
Our
revealed
significant
correlations
age,
PCT,
IL-6,
CRP,
patient
groups.
model
demonstrated
high
classification
performance
area
under
ROC
curve
(AUC)
scores
0.91
COVID-19,
0.90
MP,
0.65
co-infections.
Feature
importance
indicated
that
IL6,
PCT
most
predictors.
Confusion
matrices
Spearman
correlation
heatmaps
model's
accuracy
relationships
different
integration
computational
methods,
particularly
analysis,
in
evaluating
biomarker
presents
promising
approach
enhancing
processes
infectious
diseases.
findings
support
use
specific
differentiating
potentially
leading
more
targeted
effective
strategies.
This
study
underscores
potential
improving
disease
era
precision
medicine.
Language: Английский
Aloe-emodin plus TIENAM ameliorate cecal ligation and puncture-induced sepsis in mice by attenuating inflammation and modulating microbiota
Jingqian Su,
No information about this author
Xiaohui Deng,
No information about this author
Shan Hu
No information about this author
et al.
Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 12, 2024
Despite
the
high
sepsis-associated
mortality,
effective
and
specific
treatments
remain
limited.
Using
conventional
antibiotics
as
TIENAM
(imipenem
cilastatin
sodium
for
injection,
TIE)
is
challenging
due
to
increasing
bacterial
resistance,
diminishing
their
efficacy
leading
adverse
effects.
We
previously
found
that
aloe-emodin
(AE)
exerts
therapeutic
effects
on
sepsis
by
reducing
systemic
inflammation
regulating
gut
microbiota.
Here,
we
investigated
whether
administering
AE
TIE
post-sepsis
onset,
using
a
cecal
ligation
puncture
(CLP)-induced
model,
extends
survival
improves
physiological
functions.
Survival
rates,
inflammatory
cytokines,
tissue
damage,
immune
cell
populations,
ascitic
fluid
microbiota,
key
signaling
pathways
were
assessed.
Combining
significantly
enhanced
reduced
load
in
septic
mice,
indicating
potent
antimicrobial
properties.
Moreover,
substantial
improvements
rates
of
+
TIE-treated
mice
(10%
60%)
within
168
h
observed
relative
CLP
group.
This
combination
therapy
also
effectively
modulated
marker
(interleukin
[IL]-6,
IL-1β,
tumor
necrosis
factor
[TNF]-α)
levels
counts
decreasing
those
B,
NK,
TNFR2+
T
reg
cells,
while
CD8+
cells;
alleviated
damage;
peritoneal
cavity;
suppressed
NF-κB
pathway.
altered
cavity
microbiota
composition
post-treatment,
characterized
pathogenic
bacteria
(
Bacteroides
)
abundance.
Our
findings
underscore
potential
treating
sepsis,
encourage
further
research
possible
clinical
implementations
surmount
limitations
amplify
AE.
Language: Английский