Chronic pain in older adults with disabilities is associated with fall-related injuries: a prospective cohort study
Hiroya Honda,
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Ryota Ashizawa,
No information about this author
Yuto Kameyama
No information about this author
et al.
European Geriatric Medicine,
Journal Year:
2024,
Volume and Issue:
15(3), P. 719 - 727
Published: March 21, 2024
Language: Английский
Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data
Alice Aparecida Lourenço,
No information about this author
P. H. R. Amaral,
No information about this author
Adriana Alves Oliveira Paim
No information about this author
et al.
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: May 14, 2024
The
pandemic
caused
by
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
is
an
emerging
crisis
affecting
the
public
health
system.
clinical
features
of
COVID-19
can
range
from
asymptomatic
state
to
and
multiple
organ
dysfunction.
Although
some
hematological
biochemical
parameters
are
altered
during
moderate
COVID-19,
there
still
a
lack
tools
combine
these
predict
outcome
patient
with
COVID-19.
Thus,
this
study
aimed
at
employing
patients
diagnosed
in
order
build
machine
learning
algorithms
for
predicting
COVID
mortality
or
survival.
Patients
included
had
diagnosis
SARS-CoV-2
infection
confirmed
RT-PCR
measurements
were
performed
three
different
time
points
upon
hospital
admission.
Among
evaluated,
ones
that
stand
out
most
important
T1
point
(urea,
lymphocytes,
glucose,
basophils
age),
which
could
be
possible
biomarkers
severity
patients.
This
shows
urea
parameter
best
classifies
rises
over
time,
making
it
crucial
analyte
used
outcome.
In
optimal
medically
interpretable
prediction
presented
each
point.
It
was
found
paramount
variable
all
points.
However,
importance
other
variables
changes
point,
demonstrating
dynamic
approach
effective
patient’s
prediction.
All
all,
use
defining
tool
laboratory
monitoring
prediction,
may
bring
benefits
future
pandemics
newly
reemerging
variants
concern.
Language: Английский
Online peer support for mental health in individuals with post-acute sequelae of COVID-19: A pre-post pilot study with mixed methods
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 16, 2024
Abstract
Objective
This
pilot
examined
the
effect
of
online
peer
support
on
mental
health
problems
among
individuals
with
post-acute
sequelae
COVID-2019
(PASC).
Methods
A
single-arm
pre-post
design
consisting
eight
sessions
1
h
per
week
three
to
six
participants
and
two
facilitators
group
was
performed.
Participants
were
recruited
from
communities,
social
media,
medical
clinics
for
PASC
between
May
August
2023.
The
degrees
depression,
anxiety,
loneliness,
withdrawal,
self-esteem
measured
pre-
post-intervention.
Participants’
statements
during
analyzed
using
thematic
analyses.
Results
Of
18
participants,
3
dropped
out
interventions,
17
(including
2
who
out)
completed
post-intervention
questionnaires.
Depression
severity
significantly
decreased
in
paired
t-test
linear
mixed
model.
following
interactions
extracted:
conveying
same
feelings,
dealing
difficulties,
showing
empathy,
enhancing
atmosphere,
adapting
suit
conditions.
Impressions
extracted
participating
interventions
included
feelings
emotional
support,
a
sense
bonding,
changes
perspective,
behaviors
or
new
actions
through
participation,
inadequacy
sessions,
adverse
effects
associated
participation.
Conclusion
Online
may
be
helpful
treating
depression
PASC.
Language: Английский
Síndrome pós-COVID-19 e qualidade de vida em mulheres
Revista Brasileira de Saúde Materno Infantil,
Journal Year:
2024,
Volume and Issue:
24
Published: Jan. 1, 2024
Resumo
Objectives:
to
determine
the
clinical
and
epidemiological
profile
of
long
post-COVID
syndrome
(LPCS)
quality
life
among
female
survivors
compared
males
after
hospitalization
for
COVID-19
in
city
Recife,
Brazil.
Methods:
a
prospective
cohort
study
analyzed
demographic
data
during
hospitalization,
as
well
LPCS
questionnairewhereasdata
was
collected
by
telecare
at
three,
sixand
12
months
hospital
discharge.
Logistic
regression
used
explore
association
between
variables
each
dimension
questionnaire.
Results:
887
patients
were
included.
At
end
months,
women
more
frequently
reported
with
(p<0.001).
Regarding
life,
tended
worsen
over
time
all
domains
men:
mobility
domain
(28.4%
versus
9.3%,
p<0.05),
personal
care
(14.8%
5.6%;
usual
activities
(30.8%
13.1%,
p
<
0.05),
pain/discomfort
(29%
16.9%,
p<0.05)
anxiety/depression
(43.8%
33.3%,
p<0.05).
Conclusion:
frequency
increased
worsened
both
genders
until
first
year
discharge,
especially
women.
Language: Английский
Post-COVID 19 syndrome and quality of life in women
Revista Brasileira de Saúde Materno Infantil,
Journal Year:
2024,
Volume and Issue:
24
Published: Jan. 1, 2024
Abstract
Objectives:
to
determine
the
clinical
and
epidemiological
profile
of
long
post-COVID
syndrome
(LPCS)
quality
life
among
female
survivors
compared
males
after
hospitalization
for
COVID-19
in
city
Recife,
Brazil.
Methods:
a
prospective
cohort
study
analyzed
demographic
data
during
hospitalization,
as
well
LPCS
questionnairewhereasdata
was
collected
by
telecare
at
three,
sixand
12
months
hospital
discharge.
Logistic
regression
used
explore
association
between
variables
each
dimension
questionnaire.
Results:
887
patients
were
included.
At
end
months,
women
more
frequently
reported
with
(p<0.001).
Regarding
life,
tended
worsen
over
time
all
domains
men:
mobility
domain
(28.4%
versus
9.3%,
p<0.05),
personal
care
(14.8%
5.6%;
usual
activities
(30.8%
13.1%,
p
<
0.05),
pain/discomfort
(29%
16.9%,
p<0.05)
anxiety/depression
(43.8%
33.3%,
p<0.05).
Conclusion:
frequency
increased
worsened
both
genders
until
first
year
discharge,
especially
women.
Language: Английский