Efficacy and safety of three antiseptics for neonatal skin disinfection: further evidence for chlorhexidine gluconate
Pediatric Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Language: Английский
Development and Validation of a Nosocomial Infection Nomogram Model in the NICU: A Novel and Nurse-Led Way to Prediction in Preterm Infants
Yunxiao Shang,
No information about this author
Ling Chen,
No information about this author
Xichao Hu
No information about this author
et al.
Infection and Drug Resistance,
Journal Year:
2025,
Volume and Issue:
Volume 18, P. 589 - 599
Published: Jan. 1, 2025
Nosocomial
infections
(NI)
are
a
leading
cause
of
mortality
in
preterm
infants
the
Neonatal
Intensive
Care
Unit
(NICU).
The
key
to
reducing
risk
NI
is
early
detection
and
treatment
time.
Nurses
close
observers
primary
caregivers
for
neonates
at
bedside
NICU,
who
best
positioned
capture
signals
NI.
This
study
aims
develop
nurse-led
prediction
model
NICU.
was
designed
as
retrospective
study,
NICU
Renmin
Hospital
Wuhan
University
from
January
2020
December
2023
were
selected
divided
into
group
non-NI
group.
Clinical
data
collected
then
analyzed
by
univariate
analysis,
least
absolute
shrinkage
selection
operator
(LASSO)
regression
multivariate
logistic
analysis.
outcome
constructed
nomogram
its
predictive
efficacy
evaluated
area
under
receiver
operating
characteristic
curve
(AUC),
calibration
curve,
decision
analysis
(DCA).
Bootstrap
method
used
repeat
1,000
times
internal
validation.
A
total
892
finally
included
established,
which
six
variables:
skin
color
changes,
respiratory
related
feeding
deterioration,
birth
weight,
number
arterial
venous
blood
draws,
days
nasogastric
tube
placement.
model's
AUC
0.953,
indicating
good
discriminatory
power.
plot
demonstrated
Hosmer-Lemeshow
test
showed
high
consistency.
DCA
indicated
that
had
clinical
utility.
Internal
validation
0.952.
model,
mainly
based
on
nurses'
observations,
shows
ability.
It
offered
more
convenient
option
neonatologists
nurses
Language: Английский
Hospital-onset bacteremia in the neonatal intensive care unit: strategies for risk adjustment
Infection Control and Hospital Epidemiology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 7
Published: Feb. 17, 2025
Abstract
Objective:
To
quantify
the
impact
of
patient-
and
unit-level
risk
adjustment
on
infant
hospital-onset
bacteremia
(HOB)
standardized
infection
ratio
(SIR)
ranking.
Design:
A
retrospective,
multicenter
cohort
study.
Setting
participants:
Infants
admitted
to
284
neonatal
intensive
care
units
(NICUs)
in
United
States
between
2016
2021.
Methods:
Expected
HOB
rates
SIRs
were
calculated
using
four
strategies:
birthweight
(model
1),
postnatal
age
2),
NICU
complexity
3),
birthweight,
age,
4).
Sites
ranked
according
unadjusted
rate,
these
rankings
compared
based
adjusted
SIR
models.
Results:
Compared
rate
ranking
(smallest
largest),
number
proportion
NICUs
that
left
fourth
quartile
(worst-performing)
following
adjustments
as
follows:
for
(16,
22.5%),
(19,
26.8%),
(22,
31.0%),
(23,
32.4%).
Comparing
moved
into
better-performing
quartiles
after
those
remained
regardless
adjustment,
median
percentage
low
infants
was
17.1%
(Interquartile
Range
(IQR):
15.8,
19.2)
vs
8.7%
(IQR:
4.8,
12.6);
who
died
2.2%
1.8,
3.1)
0.5%
0.01,
12.0),
respectively.
Conclusion:
Adjusting
patient
one-third
worst-performing
a
quartile.
Risk
may
allow
more
accurate
comparison
across
with
varying
levels
acuity
complexity.
Language: Английский
Clinical characteristics, antimicrobial resistance, and mortality of neonatal bloodstream infections in Northern Tanzania, 2022–2023
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(3), P. e0319816 - e0319816
Published: March 25, 2025
Neonatal
bloodstream
infections
(BSI)
make
a
substantial
contribution
to
morbidity
and
mortality
in
low-
middle-income
countries
(LMICs),
but
data
on
the
epidemiology
antimicrobial
resistance
(AMR)
Tanzania
are
limited.
We
describe
prevalence,
patterns,
associated
factors
of
neonatal
BSI
at
Kilimanjaro
Christian
Medical
Centre
(KCMC),
large
referral
hospital
northern
Tanzania.
conducted
prospective,
observational
study
involving
infants
aged
0–60
days
with
perinatal
risk
or
clinical
signs
sepsis.
Aerobic
blood
cultures
were
obtained
enrollment
monitored
using
continuously
culture
instrument.
Antimicrobial
susceptibility
testing
was
performed
standard
phenotypic
methods.
Vital
status
2,
7,
28
post-enrollment.
defined
as
isolation
established
pathogens,
including
yeast
coagulase-negative
Staphylococcus
spp.
(CoNS).
Early-onset
occurred
day
life
(DOL)
0-2,
while
late-onset
DOL
3
later.
Among
236
enrolled
infants,
233.
106
(45.5%)
233
50
(47.2%)
early-onset,
56
(52.8%)
BSI.
The
isolated
pathogens
included
58
(54.7%)
Gram-positive
bacteria,
40
(37.7%)
Gram-negative
8
(7.5%)
yeast.
CoNS
(n
=
55,
51.9%)
Klebsiella
pneumoniae
35,
33.0%)
most
common
pathogens.
Notably,
all
K.
isolates
extended-spectrum
beta-lactamase
producers,
resistant
ampicillin
ceftriaxone.
who
died,
29
(51.8%)
had
BSI;
11
(19.6%)
EO-BSI,
18
(32.1%)
LO-BSI.
Infants
requiring
respiratory
support
admission
1.89-fold
increased
adjusted
odds
(95%
CI,
1.05-3.44).
found
high
prevalence
due
bacteria
AMR,
mortality.
There
is
an
urgent
need
for
effective
preventive,
diagnostic,
therapeutic
interventions
address
among
hospitalized
Language: Английский
Epidemiology and Mortality of Invasive Staphylococcus aureus Infections in Hospitalized Infants
Maria Rain Jennings,
No information about this author
Nora Elhaissouni,
No information about this author
Elizabeth Colantuoni
No information about this author
et al.
JAMA Pediatrics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 14, 2025
Importance
Historically,
Staphylococcus
aureus
has
been
a
leading
cause
of
morbidity
and
mortality
in
the
neonatal
intensive
care
unit
(NICU).
The
current
incidence
attributable
late-onset
invasive
S
infection
hospitalized
infants
is
unknown.
Objective
To
estimate
among
US.
Design,
Setting,
Participants
This
retrospective
cohort
study
included
an
emulated
trial
national
convenience
sample
315
NICUs
within
US
between
2016
2021.
were
aged
at
least
4
postnatal
days
who
participating
NICU.
Data
analyzed
from
May
to
August
2024.
Exposures
primary
exposures
birth
weight
age.
Main
Outcomes
Measures
outcomes
infection.
Methicillin-resistant
methicillin-sensitive
classification
was
not
universally
available;
thus,
all
infections
pooled.
Results
From
468
201
(260
491
[55.6%]
male;
median
[IQR]
gestational
age,
36
[33-38]
weeks)
eligible
for
analysis,
1724
experienced
1762
overall
37.6
(95%
CI,
35.9-39.4)
per
10
000
infants.
Most
with
32
weeks’
age
or
younger
(1394
[80.9%]),
very
low
(VLBW;
ie,
<1500
g)
(1318
[76.5%]),
and/or
had
central
line
during
their
hospital
stay
(1509
[87.5%]).
Invasive
mostly
bloodstream
(1505
[85.4%]),
1160
(65.8%)
occurred
28
days.
Birth
inversely
correlated
incidence:
VLBW
more
than
20-fold
higher
relative
born
weighing
1500
g
(227.1
[95%
215.3-239.4]
vs
10.1
9.1-11.1]
infants).
deaths
following
(189
209
[90.4%]).
Compared
matched
without
infection,
infected
absolute
difference
rate
5.3%
3.8%-6.8%).
Conclusions
Relevance
found
subsequent
disproportionally
affected
VLBW.
Targeted
prevention
control
measures
are
necessary
reduce
this
vulnerable
population.
Language: Английский
Hospital-Onset Bacteremia—Counting Them All
JAMA Pediatrics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 15, 2024
Language: Английский
Outbreaks in the Neonatal Intensive Care Unit: Description and Management
Tropical Medicine and Infectious Disease,
Journal Year:
2024,
Volume and Issue:
9(9), P. 212 - 212
Published: Sept. 12, 2024
Healthcare
settings,
especially
intensive
care
units,
can
provide
an
ideal
environment
for
the
transmission
of
pathogens
and
onset
outbreaks.
Many
factors
contribute
to
epidemic
in
a
neonatal
unit
(NICU),
including
neonates'
vulnerability
healthcare-associated
infections,
those
born
preterm;
facility
design;
frequent
invasive
procedures;
contact
with
healthcare
personnel.
Outbreaks
NICUs
are
one
most
relevant
problems
because
they
often
caused
by
multidrug-resistant
organisms
associated
increased
mortality
morbidity.
The
prompt
identification
outbreak,
subsequent
investigation
identify
source
infection,
risk
factors,
reinforcement
routine
infection
control
measures,
implementation
additional
measures
essential
elements
contain
epidemic.
Language: Английский