medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 9, 2024
Abstract
With
hundreds
of
millions
COVID-19
infections
to
date,
a
considerable
portion
the
population
has
developed
or
will
develop
long
COVID.
Understanding
prevalence,
risk
factors,
and
healthcare
costs
COVID
can
be
significant
societal
importance.
To
investigate
utility
large-scale
electronic
health
record
(EHR)
data
in
identifying
predicting
COVID,
we
analyzed
sample
1.23
million
participants
from
National
Cohort
Collaborative
(N3C),
longitudinal
EHR
repository
80
sites
US
with
over
8
patients.
We
characterized
prevalence
using
few
different
types
definitions
illustrate
their
relative
strengths
weaknesses.
Then
machine
learning
models
predict
developing
demographic
factors
comorbidity
EHR.
The
for
include
patient
age;
sex;
smoking
status;
comorbidities
by
Charlson
Comorbidity
Index
(CCI).
were
able
three
low
moderate
levels
accuracy
(AUC
0.599
–
0.734).
found
that
age
CCI
most
predictive
diagnosis.
Ongoing
work
includes
applying
fair
framework
models.
are
implementing
fairness
bias
mitigation
methods
model
fitting
through
following
steps,
selecting
metrics,
preparing
model,
evaluating
dataset,
comparing
results
metrics
before
after
mitigation.
objective
is
achieve
equalized
odds,
statistical
notion
ensures
classification
algorithms
do
not
discriminate
against
protected
groups
(such
as
sex
race/ethnicity).
Results
fairness-based
included
conference
presentation.
Canadian Journal of Cardiology,
Год журнала:
2024,
Номер
40(6), С. 1123 - 1134
Опубликована: Фев. 28, 2024
Long
COVID
has
been
defined
by
World
Health
Organization
as
"continuation
or
development
of
new
symptoms
3
months
after
the
initial
SARS-CoV-2
infection,
with
these
lasting
for
at
least
2
no
other
explanation".
Cardiovascular
disease
is
implicated
a
risk
factor,
concomitant
condition
and
consequence
COVID.
As
well
heterogeneity
in
definition,
presentation
likely
underlying
pathophysiology
COVID,
disparities
social
determinants
health,
extensively
studied
described
cardiovascular
disease,
have
observed
three
ways.
First,
long-term
conditions,
such
its
factors,
are
associated
incidence
severity
previously
socioeconomic
factors
important
exacerbating
Second,
management
COVID-19
may
themselves
lead
to
distal
Third,
there
way
that
diagnosed,
managed
prevented.
Together,
age,
sex,
deprivation
ethnicity
far-reaching
implications
this
post-viral
syndrome
across
spectrum.
There
similarities
differences
compared
disease.
Some
fact,
inequalities,
i.e.
rather
than
simply
variations,
they
represent
injustices
costs
individuals,
communities
economies.
In
review
current
literature,
I
consider
opportunities
prevent,
least,
attenuate
special
challenges
research,
clinical
practice,
public
health
policy
which
evolving.
Neuroepidemiology,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Авг. 19, 2024
Background:
Female
gender
is
a
known
risk
factor
for
long
COVID.
With
the
increasing
number
of
COVID-19
cases,
corresponding
survivors
also
expected
to
rise.
To
best
our
knowledge,
no
systematic
review
has
specifically
addressed
differences
in
neurological
symptoms
Methods:
We
included
studies
on
female
individuals
who
presented
with
specific
at
least
12
weeks
after
confirmed
diagnosis
from
PubMed,
Central,
Scopus,
and
Web
Science.
The
search
limit
was
put
January
2020
until
June
15,
2024.
excluded
that
did
not
provide
sex-specific
outcome
data,
those
English,
case
reports,
series,
articles
Results:
A
total
5,632
eligible
were
identified.
This
article
provides
relevant
information
involving
6,849
patients,
which
3,414
female.
sample
size
ranged
70
2,856,
maximum
follow-up
period
18
months.
earliest
publication
date
September
16,
2021,
while
latest
11,
following
had
significant
difference
ratio
(RR)
gender:
fatigue
RR
1.40
(95%
confidence
interval
[CI]:
1.22–1.60,
p
<
0.001),
headache
1.37
CI:
1.12–1.67,
=
0.002),
brain-fog
1.38
CI
1.08–1.76,
0.011)
depression
1.49
1.2–1.86,
anosmia
1.61
1.36–1.90,
0.001).
High
heterogenicity
found
fatigue,
brain
fog,
anxiety
due
diverse
methodologies
employed
studies.
Conclusion:
Our
findings
suggest
women
are
higher
long-COVID
symptoms,
including
headaches,
depression,
anosmia,
compared
men.
prevalence
these
decreases
1
year,
based
limited
data
small
available
beyond
this
period.
BMJ Open,
Год журнала:
2025,
Номер
15(1), С. e087920 - e087920
Опубликована: Янв. 1, 2025
Objective
Many
individuals
exposed
to
SARS-CoV-2
experience
long-term
symptoms
as
part
of
a
syndrome
called
post-COVID
condition
(PCC).
Research
on
PCC
is
still
emerging
but
urgently
needed
support
diagnosis,
clinical
treatment
guidelines
and
health
system
resource
allocation.
In
this
study,
we
developed
method
identify
cases
using
administrative
data
report
prevalence
predictive
factors
in
Manitoba,
Canada.
Design
Cohort
study.
Setting
Participants
All
Manitobans
who
tested
positive
for
during
population-wide
PCR
testing
from
March
2020
December
2021
(n=66
365)
were
subsequently
deemed
have
based
International
Classification
Disease-9/10
diagnostic
codes
prescription
drug
(n=11
316).
Additional
identified
modelling
assess
patterns
service
use,
including
physician
visits,
emergency
department
visits
hospitalisation
any
reason
(n=4155).
Outcomes
We
measured
%
among
with
tests
associated
by
calculating
odds
ratios
95%
confidence
intervals,
adjusted
sociodemographic
characteristics
(aOR).
Results
Among
66
365
tests,
15
471
(23%)
having
PCC.
Being
female
(aOR
1.64,
CI
1.58
1.71),
being
age
60–79
1.33,
1.25
1.41)
or
80+
1.62,
1.46
1.80),
hospitalised
within
14
days
COVID-19
infection
1.95,
1.80
2.10)
Charlson
Comorbidity
Index
1+
1.78
2.14)
Receiving
doses
the
vaccine
(one
dose,
aOR
0.80,
0.74
0.86;
two
doses,
0.29,
0.22
0.31)
decreased
Conclusions
This
data-driven
approach
expands
our
understanding
epidemiology
may
be
applied
other
jurisdictions
population-based
data.
The
study
provides
additional
insights
into
risk
protective
inform
planning
delivery.
Pharmacoepidemiology and Drug Safety,
Год журнала:
2025,
Номер
34(2)
Опубликована: Янв. 22, 2025
To
characterize
long-term
effects
of
COVID-19
among
older
adults
(aged
≥
65
years).
This
retrospective
descriptive
study
utilized
Medicare
Fee-for-Service
beneficiaries'
claims
to
post-COVID
condition
diagnosis
code
usage,
long
COVID
(defined
as
diagnoses
made
28
days
after
an
initial
diagnosis)
incidence,
patient
demographics,
and
concurrent
diagnoses.
During
April
1,
2020
May
21,
2022,
193
691
(0.6%)
31
847
927
beneficiaries
were
diagnosed
with
conditions
using
ICD-10-CM
codes
U09.9
B94.8,
regardless
prior
diagnosis.
Post-COVID
rate
was
higher
nursing
home
residents
(18.7
per
1000
person-years)
than
community-dwelling
(2.8).
Among
a
diagnosis,
17.5%
did
not
have
any
U07.1
recorded.
there
no
significant
sex,
age,
or
race/ethnicity
differences
between
those
(i.e.,
COVID)
without
conditions.
Certain
myopathies
interstitial
pulmonary
disease
disproportionately
present
concurrently
compared
COVID-19.
In
this
large
32
million
beneficiaries,
we
found
approximately
194
000
residents,
highlighting
the
substantial
burden
in
vulnerable
population.
Community-dwelling
less
likely
seek
medical
care
for
events
which
may
suggest
severity
respiratory
detection
these
populations.
Long
risk
infection
be
similar
across
demographic
groups.
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0317905 - e0317905
Опубликована: Фев. 3, 2025
Background
A
significant
number
of
individuals
who
have
contracted
SARS-CoV-2
report
persistent
somatic
symptoms
after
the
infection
has
resolved.
Evidence-based
treatment
options
for
Long
COVID
are
lacking
to
date.
To
ensure
that
an
expectation
management
intervention,
designed
research
project
SOMA.COV,
addresses
relevant
patient
needs
as
well
promote
acceptance
and
adherence,
a
participatory
approach
was
chosen.
Objective
The
aim
present
study
explore
wishes
patients
with
regarding
preliminary
version
intervention
thereby
inform
further
development
manual.
Methods
Twenty-two
affected
by
participated
in
one
four
focus
groups
June
July
2023.
Participants
were
presented
draft
content
four-session
intervention.
Feedback
audio-recorded,
transcribed,
analyzed
using
thematic
analysis.
Results
Thirteen
themes
relating
main
components
manual
developed.
Large
parts
received
overall
positive
feedback,
including
psychoeducation
on
biopsychosocial
etiology
condition,
elements
cognitive
restructuring,
imagination
exercise.
Patients’
response
vicious
circle
fear
behavior
change
exercise
mixed.
Modifications
made
patients’
feedback.
Conclusion
Patients
provided
feedback
while
also
highlighting
important
adaptations
necessary
this
group.
results
informed
finalization
within
SOMA.COV
project,
which
investigates
effectiveness
three-armed
randomized
controlled
trial.
BMC Infectious Diseases,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 12, 2025
The
prolonged
effects
of
COVID-19
present
social
costs
and
pose
challenges
to
public
health
infrastructure,
necessitating
the
implementation
policies
for
comprehensive
post-COVID-19
care.
This
study
aimed
assess
post-COVID
functional
status
associated
sociodemographic
factors
inequalities
among
residents
socioeconomically
vulnerable
neighborhoods
who
attended
primary
care
in
two
Brazilian
cities.
A
cross-sectional
was
conducted
from
July
2022
2023
Salvador
Rio
de
Janeiro.
We
included
participants
sought
tests
services,
had
previously
contracted
COVID-19,
completed
scale.
Post-COVID
syndrome
classified
as
none,
negligible/slight,
or
moderate/severe.
Sociodemographic
characteristics,
conditions,
access
services
were
analyzed
explanatory
variables.
Descriptive
bivariate
analyses
performed.
Using
multinomial
logistic
regression,
we
estimated
adjusted
odds
ratios
(aORs)
their
95%
confidence
intervals
(95%CIs).
Among
3,067
participants,
overall
prevalence
limitations
34.6%
(26.7%
7.9%
reporting
negligible/slight
moderate/severe,
respectively).
following
variables
with
moderate/severe
status:
living
households
fewer
rooms
(aOR
=
1.66,
95%CI:
1.23-2.24),
female
gender
1.57,
1.14-2.16),
older
age
1.02,
1.01-1.03),
self-reported
diabetes
mellitus
1.78,
1.17-2.69),
respiratory
diseases
2.59,
1.56-4.29),
having
more
times
1.15-2.14),
not
a
medical
appointment
last
12
months
1.70,
1.24-2.33),
difficulty
accessing
testing
1.63,
1.05-2.52),
experience
discrimination
2.85,
1.87-4.35).
Our
findings
indicate
varying
degrees
limitation
have
recovered
COVID-19.
People
live
homes
rooms,
are
female,
older,
pre-existing
diseases,
been
reinfected
those
experienced
at
higher
chance
developing
syndrome.
Long-COVID
has
mostly
been
investigated
in
clinical
settings.
We
aimed
to
assess
the
risk,
subtypes,
persistence,
and
determinants
of
long-COVID
a
prospective
population-based
study
adults
with
history
SARS-CoV-2
infection
Catalonia.
examined
2764
infected
individuals
from
cohort
(COVICAT)
established
before
pandemic
followed
up
three
times
across
(2020,
2021,
2023).
assessed
immunoglobulin
(Ig)G
levels
against
SARS-CoV-2,
clinical,
vaccination,
sociodemographic,
lifestyle
factors.
risk
subtypes
were
defined
based
on
participant-reported
symptoms
electronic
health
records.
identified
total
647
cases
compared
them
2117
without
condition.
Between
2021
2023,
23%
subjects
developed
symptoms.
In
56%
persisted
for
2
years.
presented
clinically
mild
neuromuscular,
respiratory,
severe
multi-organ.
The
latter
was
associated
persistent
long-COVID.
Risk
higher
among
females,
participants
under
50
years,
low
socioeconomic
status,
COVID-19
infection,
elevated
pre-vaccination
IgG
levels,
obesity,
prior
chronic
disease,
particularly
asthma/chronic
obstructive
pulmonary
disease
mental
conditions.
A
lower
pre-infection
after
omicron
became
dominant
variant,
physical
activity
sleeping
6–8
h.
Vaccination
during
3
months
post-infection
also
protective
years
half
cases,
influenced
by
multiple
Health Expectations,
Год журнала:
2025,
Номер
28(2)
Опубликована: Март 17, 2025
ABSTRACT
Background
The
high
global
burden
of
Long
Covid
(LC)
has
significant
implications
for
population
well‐being,
health
care,
social
care
and
national
economies.
Aim
To
explore
associations
between
patient
sociodemographic
characteristics
with
two
outcomes:
having
LC
expressing
uncertainty
about
LC,
as
described
by
general
practice
(GP)
survey
respondents.
Design
Setting
Analysis
GP
Patient
Survey
(England),
a
random
sample
759,149
patients
aged
16
years+
registered
in
England
(2023).
Method
Multivariable
logistic
regression
modelling
comparing
those
without
who
were
unsure
relation
to
characteristics.
Results
4.8%
respondents
reported
9.1%
unsure.
Significant
adjusted
indicating
higher
risk
included
age
(highest
odds
35−54
years),
sex
(females),
ethnicity
(White
Gypsy/Irish
Traveller,
mixed/multiple
ethnic
groups),
sexual
orientation
(gay/lesbian
or
bisexual),
living
deprived
area,
being
carer
parent
long‐term
condition
(LTC).
Those
≤
25
years,
males,
non‐binary,
heterosexual,
not
parents
carers,
from
other
White,
Indian,
Bangladeshi,
Chinese,
Black
Arab
backgrounds,
former
current
smokers,
no
defined
LTC
more
likely
analysis
be
compared
answering
‘yes’.
Conclusion
There
is
an
unequal
distribution
England,
the
prevalent
minoritised
disadvantaged
groups.
are
also
levels
LC.
Improved
awareness
needed
amongst
professionals
ensure
most
vulnerable
society
identified
provided
support.
Public
Contribution
builds
on
previous
studies
co‐created
people
lived
experience.
A
public
contributor
advised
discussions
dissemination
towards
optimal
impact
this
study's
findings.
Study
findings
will
inform
next
phases
research
which
questions
design
partners.
How
This
Fits
In
there
prevalence
Covid,
COVID‐19
infection‐induced
chronic
that
can
limit
daily
activities
significantly.
ill
unequal,
groups
experiencing
prevalence.
study
adds
further
evidence
inequality
but
reveals
whether
they
have
than
confident
it,
certain
already
uncertain
if
condition.
Findings
underline
need
greater
professionals,
diagnosis,
treatment
support
better
distributed
according
need.
Frontiers in Neurology,
Год журнала:
2025,
Номер
16
Опубликована: Март 21, 2025
Background
Coronavirus
disease
2019
(COVID-19),
caused
by
the
SARS-CoV-2
virus,
placed
unprecedented
pressure
on
public
health
systems
due
to
its
mortality
and
global
panic—and
later
long
COVID
challenges.
One
of
these
symptoms,
headache,
often
resembles
migraine-like
features.
Migraine
shares
similarities
with
COVID-19
COVID,
yet
influence
sex
is
understudied.
Our
primary
objective
was
study
interrelationship
between
migraine
prevalence,
while
considering
differences.
The
secondary
examine
how
symptoms
(headache,
anosmia,
memory,
concentration
problems)
affect
males
females
without
migraine.
Methods
All
analyses
were
conducted
using
Lifelines,
a
prospective
cohort
in
northern
Netherlands.
Baseline
characteristics
(2006–2014),
self-reported
diagnoses
(until
2021),
questionnaires
(2020–2022)
collected.
Logistic
regression
association
lifetime
current
infections
adjusting
for
age,
sex,
diet,
educational
attainment,
activity,
smoking.
Descriptive
sex-stratified
symptoms.
Results
A
total
150,507
individuals
included,
which
29,680
(19.7%)
reported
120,827
(80.3%)
not.
1,867
[6.3%
migraine,
44.0
years
(IQR
36.1–50.3)]
6,797
[5.6%
44.4
35.3–52.2)]
be
infected.
majority
consisted
(77.0%
those
vs.
54.0%
migraine).
adjusted
odds
having
6.3%
higher
among
(a
history
of)
compared
logistic
model
(OR
=
1.06,
95%
CI
1.01–1.12).
slightly
OR
observed
1.08,
1.02–1.15),
not
apparent
1.00,
0.88–1.12).
Secondary
revealed
that
both
COVID-19,
particular,
most
frequently
bothered
concentration,
memory
problems.
Individuals
none
diseases
least
bothered.
Conclusions
especially
females,
are
more
likely
report
and/or
contract
COVID-19.
Those
conditions
frequently,
suggesting
shared
vulnerability
or
pathophysiology.
This
may
indicate
need
clinical
surveillance
patients
recovering
from