Infection and Drug Resistance,
Journal Year:
2020,
Volume and Issue:
Volume 13, P. 3409 - 3422
Published: Oct. 1, 2020
Background:
The
emerging
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
resulted
in
a
worldwide
devastating
effect
with
diagnostic
challenge.
Identifying
risk
factors
of
severity
aids
assessment
for
the
need
early
hospitalization.
We
aimed
to
demonstrate,
first
time,
clinical,
laboratory
and
radiological
characteristics
disease
2019
(COVID-19)
patients,
identify
predictors
describe
antimicrobial
resistance
profile
patients
from
Upper
Egypt.
Materials
Methods:
Demographic
characters,
clinical
presentations,
laboratory,
data
were
recorded
analyzed.
Presence
other
microorganisms
their
sensitivity
patterns
identified
using
VITEK2
system.
Resistance-associated
genes
tested
by
PCR.
Results:
study
included
260
COVID-19
patients.
majority
males
(55.4%)
aged
between
51
70
years.
Hypertension,
diabetes,
ischemic
heart
common
comorbidities.
Main
manifestations
fever
(63.8%),
cough
(57.7%),
dyspnea
(40%)
fatigue
(30%).
According
severity,
51.5%
moderate,
25.4%
mild
23%
severe/critical.
Lymphopenia,
elevated
CRP,
ferritin,
D-dimer
occurred
all
significantly
higher
value
group.
Age
>
53
years
ferritin
≥
484
ng/mL
significant
severity.
About
10.7%
showed
bacterial
and/or
fungal
infections.
Klebsiella
pneumoniae,
Acinetobacter
baumannii
,
Staphylococcus
aureus
predominant
isolated
bacteria
while
Candida
albicans
glabrata
fungi.
All
Staphylococci
methicillin-resistant
carried
mecA
gene.
Gram-negative
isolates
multidrug-resistant
different
resistance-associated
genes,
including
NDM-1,
KPC,
TEM,
CTX-M
SHV.
Conclusion:
Older
age
serum
COVID-19.
Bacterial
co-infection
multidrug
among
Egypt
is
common.
Testing
presence
co-infecting
agents
should
be
considered,
prompt
treatment
out
according
reports.
Keywords:
COVID-19,
characteristics,
ESBL,
factors,
iScience,
Journal Year:
2021,
Volume and Issue:
24(4), P. 102304 - 102304
Published: March 14, 2021
The
ongoing
SARS-CoV-2
pandemic
has
highlighted
the
importance
of
rapid
development
vaccines
and
antivirals.
However,
potential
for
emergence
antibiotic
resistances
due
to
increased
use
antibacterial
cleaning
products
therapeutics
presents
an
additional,
underreported
threat.
Most
cleaners
contain
simple
quaternary
ammonium
compounds
(QACs);
however,
these
are
steadily
becoming
less
effective
as
agents.
QACs
extensively
used
in
SARS-CoV-2-related
sanitization
clinical
household
settings.
Similarly,
danger
secondary
infections,
increasingly
a
component
COVID-19
treatment
regimens,
even
absence
bacterial
infection
diagnosis.
agents
is
anticipated
lead
novel
coming
years.
Pathogens,
Journal Year:
2021,
Volume and Issue:
10(8), P. 1006 - 1006
Published: Aug. 10, 2021
The
COVID-19
pandemic
has
generated
an
overuse
of
antimicrobials
in
critically
ill
patients.
Acinetobacter
baumannii
frequently
causes
nosocomial
infections,
particularly
intensive
care
units
(ICUs),
where
the
incidence
increased
over
time.
Since
WHO
declared
on
12
March
2020,
disease
spread
rapidly,
and
many
patients
infected
with
SARS-CoV-2
needed
to
be
admitted
ICU.
Bacterial
co-pathogens
are
commonly
identified
viral
respiratory
infections
important
morbidity
mortality.
However,
we
cannot
neglect
antimicrobial
resistance,
which
may
attributed
excess
use
agents
during
pandemic.
Patients
could
vulnerable
other
owing
multiple
comorbidities
severe
COVID-19,
prolonged
hospitalization,
SARS-CoV-2-associated
immune
dysfunction.
These
have
acquired
secondary
bacterial
or
superinfections,
mainly
bacteremia
urinary
tract
infections.
This
review
will
summarize
prevalence
A.
coinfection
infection
COVID-19.
Journal of Antimicrobial Chemotherapy,
Journal Year:
2020,
Volume and Issue:
76(4), P. 1078 - 1084
Published: Dec. 15, 2020
Abstract
Background
Bacterial
and
fungal
superinfections
may
complicate
the
course
of
hospitalized
patients
with
COVID-19.
Objectives
To
identify
predictors
in
Methods
Prospective,
observational
study
including
COVID-19
consecutively
admitted
to
University
Hospital
Pisa,
Italy,
between
4
March
30
April
2020.
Clinical
data
outcomes
were
registered.
Superinfection
was
defined
as
a
bacterial
or
infection
that
occurred
≥48
h
after
hospital
admission.
A
multivariate
analysis
performed
factors
independently
associated
superinfections.
Results
Overall,
315
109
episodes
documented
69
(21.9%)
patients.
The
median
time
from
admission
superinfection
19
days
(range
11–29.75).
Superinfections
caused
by
Enterobacterales
(44.9%),
non-fermenting
Gram-negative
bacilli
(15.6%),
Gram-positive
bacteria
(15.6%)
fungi
(5.5%).
Polymicrobial
infections
accounted
for
18.3%.
Predictors
were:
intestinal
colonization
carbapenem-resistant
(OR
16.03,
95%
CI
6.5–39.5,
P
<
0.001);
invasive
mechanical
ventilation
5.6,
2.4–13.1,
immunomodulatory
agents
(tocilizumab/baricitinib)
5.09,
2.2–11.8,
C-reactive
protein
on
>7
mg/dl
3.59,
1.7–7.7,
=
previous
treatment
piperacillin/tazobactam
2.85,
1.1–7.2,
0.028).
Length
stay
longer
who
developed
ompared
those
did
not
(30
versus
11
days,
0.001),
while
mortality
rates
similar
(18.8%
23.2%,
0.445).
Conclusions
risk
is
consistent.
Patients
need
empiric
broad-spectrum
antibiotics
immunomodulant
drugs
should
be
carefully
selected.
Infection
control
rules
must
reinforced.
Journal of Hospital Infection,
Journal Year:
2021,
Volume and Issue:
113, P. 145 - 154
Published: April 21, 2021
SARS-CoV-2
predisposes
patients
to
secondary
infections;
however,
a
better
understanding
of
the
impact
coinfections
on
outcome
hospitalized
COVID-19
is
still
necessary.To
analyse
death
risk
due
in
patients.The
odds
212
severely
ill
were
evaluated,
with
detailed
focus
risks
for
each
pathogen,
site
infection,
comorbidities
and
length
hospitalization.The
mortality
rate
was
50.47%.
Fungal
and/or
bacterial
isolation
occurred
89
patients,
whom
83.14%
died.
Coinfected
stayed
longer
had
an
increased
dying
(odds
ratio
(OR):
13.45;
R2
=
0.31).
The
by
(OR:
11.28)
fungal
5.97)
coinfections,
levels
creatinine,
leucocytes,
urea
C-reactive
protein.
Coinfections
if
suffered
from
cardiovascular
disease
11.53),
diabetes
6.00)
or
obesity
5.60)
comparison
these
but
without
pathogen
isolation.
detected
coagulase-negative
Staphylococcus
25.39),
Candida
non-albicans
11.12),
S.
aureus
10.72),
Acinetobacter
spp.
6.88),
Pseudomonas
4.77),
C.
albicans
3.97).
high-risk
sites
infection
blood,
tracheal
aspirate,
urine.
Patients
coinfection
undergoing
invasive
mechanical
ventilation
3.8
times
more
likely
die
than
those
positive
cultures.Severe
required
hospitalization
higher
death.
early
diagnosis
essential
identify
determine
right
interventions
reduce
mortality.
Virology Journal,
Journal Year:
2021,
Volume and Issue:
18(1)
Published: June 14, 2021
In
COVID-19
patients,
undetected
co-infections
may
have
severe
clinical
implications
associated
with
increased
hospitalization,
varied
treatment
approaches
and
mortality.
Therefore,
we
investigated
the
of
viral
bacterial
co-infection
in
outcomes.Nasopharyngeal
samples
were
obtained
from
48
patients
(29%
ICU
71%
non-ICU)
screened
for
presence
24
respiratory
pathogens
using
six
multiplex
PCR
panels.We
found
evidence
34
(71%).
Influenza
A
H1N1
(n
=
17),
Chlamydia
pneumoniae
13)
human
adenovirus
10)
most
commonly
detected
pathogens.
Viral
was
admission
(r
0.1)
higher
mortality
(OR
1.78,
CI
0.38-8.28)
compared
to
0.44,
0.08-2.45).
Two
thirds
critically
ill
who
died,
had
a
co-infection;
only
pathogen
which
direct
relationship
seen
0.2).Our
study
highlights
importance
screening
co-infecting
viruses
that
could
be
leading
cause
disease
severity
death.
Given
high
prevalence
our
study,
coverage
flu
vaccination
is
encouraged
mitigate
transmission
influenza
virus
during
on-going
pandemic
reduce
risk
outcome
Infection,
Journal Year:
2021,
Volume and Issue:
50(1), P. 83 - 92
Published: June 27, 2021
Superinfections
in
patients
hospitalized
intensive
care
unit
(ICU)
are
an
important
and
challenging
complication,
also
COVID-19.
However,
no
definitive
data
available
about
the
role
of
multidrug-resistant
Acinetobacter
baumannii
(MDR-AB)
COVID-19.This
was
a
single-center,
cross-sectional
study
including
with
MDR-AB
infections
admitted
to
ICU
or
without
COVID-19,
between
January
2019
2021.
The
primary
objective
evaluate
risk
factor
for
COVID-19
other
etiology.
secondary
endpoints
were
30-days
mortality
all
population
factors
associated
development
bloodstream
infection
(BSI).During
period
32
adults
enrolled
compared
115
same
reasons.
We
observed
total
114
deaths,
survival
rate
29.3%:
18.8%
32.2%
control
group.
Relative
showed
that
serum
lactate
levels
mmol/l
>
2,
colonization,
BSI
steroid
therapy
more
frequently
patients.
Cox
regression
analysis
2
mmol/l,
BSI,
mortality.
Finally,
white
blood
cells
count
11,000
mm3,
at
time
admission,
independently
BSI.Our
highlight
impact
on
outcome,
colonization
use
steroids
develop
during
Emerging Microbes & Infections,
Journal Year:
2021,
Volume and Issue:
10(1), P. 612 - 618
Published: Jan. 1, 2021
Phage
therapy
is
recognized
as
a
promising
alternative
to
antibiotics
in
treating
pulmonary
bacterial
infections,
however,
its
use
has
not
been
reported
for
secondary
infections
during
virus
pandemics
such
coronavirus
disease
2019
(COVID-19).
We
enrolled
4
patients
hospitalized
with
critical
COVID-19
and
carbapenem-resistant
Acinetobacter
baumannii
(CRAB)
compassionate
phage
(at
2
successive
doses
of
109
plaque-forming
unit
phages).
All
our
COVID-19-specific
intensive
care
(ICU)
CRAB
positive
bronchoalveolar
lavage
fluid
or
sputum
samples
were
eligible
study
inclusion
if
antibiotic
treatment
failed
eradicate
their
infections.
While
susceptibility
testing
revealed
an
identical
profile
strains
from
these
patients,
pre-optimized
2-phage
cocktail
was
associated
reduced
burdens.
Our
results
suggest
the
potential
phages
on
rapid
responses
outbreak
patients.
Viruses,
Journal Year:
2023,
Volume and Issue:
15(1), P. 175 - 175
Published: Jan. 7, 2023
The
clinical
course
and
outcome
of
COVID-19
are
highly
variable,
ranging
from
asymptomatic
infections
to
severe
disease
death.
Understanding
the
risk
factors
is
relevant
both
in
setting
at
epidemiological
level.
Here,
we
provide
an
overview
host,
viral
environmental
that
have
been
shown
or
(in
some
cases)
hypothesized
be
associated
with
outcomes.
considered
detail
include
age
frailty,
genetic
polymorphisms,
biological
sex
(and
pregnancy),
co-
superinfections,
non-communicable
comorbidities,
immunological
history,
microbiota,
lifestyle
patient;
variation
infecting
dose;
socioeconomic
factors;
air
pollution.
For
each
category,
compile
(sometimes
conflicting)
evidence
for
association
factor
outcomes
(including
strength
effect)
outline
possible
action
mechanisms.
We
also
discuss
complex
interactions
between
various
factors.