Prevalence, predictors, and patient-reported outcomes of long COVID in hospitalized and non-hospitalized patients from the city of São Paulo, Brazil
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 22, 2024
Background
Robust
data
comparing
long
COVID
in
hospitalized
and
non-hospitalized
patients
middle-income
countries
are
limited.
Methods
A
retrospective
cohort
study
was
conducted
Brazil,
including
patients.
Long
diagnosed
at
90-day
follow-up
using
WHO
criteria.
Demographic
clinical
information,
the
depression
screening
scale
(PHQ-2)
day
30,
compared
between
groups.
If
PHQ-2
score
is
3
or
greater,
major
depressive
disorder
likely.
Logistic
regression
analysis
identified
predictors
protective
factors
for
COVID.
Results
total
of
291
1,118
with
COVID-19
were
included.
The
prevalence
47.1%
49.5%,
respectively.
Multivariable
logistic
showed
female
sex
(odds
ratio
[OR]
=
4.50,
95%
confidence
interval
(CI)
2.51–8.37),
hypertension
(OR
2.90,
CI
1.52–5.69),
>
6.50,
1.68–33.4)
corticosteroid
use
during
hospital
stay
2.43,
1.20–5.04)
as
patients,
while
2.52,
1.95–3.27)
3.88,
2.52–6.16)
Conclusion
prevalent
both
Positive
30
post-infection
can
predict
Early
helps
health
staff
to
identify
a
higher
risk
COVID,
allowing
an
early
diagnosis
condition.
Language: Английский
Long COVID syndrome: An unfolding enigma
Surendra Kumar Sharma,
No information about this author
Alladi Mohan,
No information about this author
Vishwanath Upadhyay
No information about this author
et al.
The Indian Journal of Medical Research,
Journal Year:
2024,
Volume and Issue:
159, P. 585 - 600
Published: Sept. 7, 2024
Post-acute
sequelae
of
severe
acute
respiratory
syndrome
coronavirus-2
(SARS-CoV-2)
disease
(COVID-19),
called
as
long
COVID
syndrome,
is
a
major
global
public
health
issue
after
recovery
from
COVID-19.
The
occurs
in
symptomatic
patients
irrespective
illness
severity.
symptoms
continue
four
wk
and
persist
beyond
three
months.
Risk
factors
for
include
older
age,
female
gender,
multiple
co-morbidities
including
diabetes
mellitus,
prior
chronic
illnesses,
hospitalized
with
disease,
especially
receiving
assisted
ventilation,
high
viral
load,
reactivation
Epstein
Barr
(EB)
virus
human
herpes
6
(HH6),
circulating
auto
antibodies
against
various
organs
type
I
interferon.
prevalence
varies
10
to
20
per
cent,
most
data
have
been
reported
high-income
countries.
Any
system
can
get
involved
COVID.
fatigue,
cognition
impairment,
cough
dyspnoea,
anosmia,
hair
loss
diarrhoea,
among
others.
While
there
are
no
laboratory
tests
confirmation
diagnosis,
reduced
complement
C7
complexes
at
six
months,
two-gene
biomarker
FYN
SARS-CoV-2
antisense
ribonucleic
acid
(RNA)
emerging
potentially
useful
biomarkers
There
should
be
alternative
explain
symptoms.
Vaccination
early
use
oral
antiviral
nirmatrelvir
within
the
first
five
days
mild
having
risk
progression
help
preventing
Several
clinical
trials
underway
treatment
results
these
eagerly
awaited.
Physical
mental
rehabilitation
home,
community
level
or
hospital
setting
appropriate
essential
Language: Английский
Early biomarkers in hospitalized patients as predictors of post-acute sequelae of SARS-CoV-2 infection: a one-year cohort study
Chithira V Nair,
No information about this author
Malavika Krishnakumar,
No information about this author
Georg Gutjahr
No information about this author
et al.
BMC Infectious Diseases,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 24, 2025
Post-acute
sequelae
of
SARS-CoV-2
infection
(PASC)
represent
a
significant
challenge
in
patient
care,
with
symptoms
persisting
beyond
three
month's
post-recovery.
This
study
aimed
to
evaluate
the
incidence
PASC
at
one
year
post-COVID-19
and
identify
predictive
biomarkers
comorbidities
for
effective
risk
stratification.
A
cohort
120
adult
patients,
including
50
intensive
care
70
non-intensive
was
followed
up
two
weeks,
six
one-year
post-discharge
using
structured
questionnaires.
The
integrated
laboratory
forecast
PASC.
median
age
participants
56
years,
40%
having
moderate
severe
comorbidities.
post-recovery,
32.8%
exhibited
post
COVID-19
conditions.
most
common
were
constitutional
(16%),
respiratory
(8.4%),
neuropsychiatric
(2.5%).
Bayesian
network
analysis
indicated
correlations
between
symptoms,
rehospitalisation,
C-reactive
protein,
lactate-dehydrogenase,
ferritin,
albumin.
highlights
prolonged
impact
PASC,
infection.
It
role
specific
such
as
albumin
tailoring
individual
by
advancing
understanding
prediction.
Our
findings
support
need
further
research
refine
these
insights,
which
are
pivotal
ongoing
patients
aftermath
COVID-19.
Language: Английский
Analyzing the Interplay between COVID-19 Viral Load, Inflammatory Markers, and Lymphocyte Subpopulations on the Development of Long COVID
Microorganisms,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2241 - 2241
Published: Sept. 6, 2023
The
global
impact
of
the
SARS-CoV-2
infection
has
been
substantial,
affecting
millions
people.
Long
COVID,
characterized
by
persistent
or
recurrent
symptoms
after
acute
infection,
reported
in
over
40%
patients.
Risk
factors
include
age
and
female
gender,
various
mechanisms,
including
chronic
inflammation
viral
persistence,
have
implicated
long
COVID's
pathogenesis.
However,
there
are
scarce
studies
which
multiple
inflammatory
markers
load
analyzed
simultaneously
to
determine
how
they
predict
for
COVID
at
long-term
follow-up.
This
study
explores
association
between
markers,
load,
lymphocyte
subpopulation
during
hospitalized
patients
better
understand
risk
this
disease.
longitudinal
retrospective
was
conducted
with
COVID-19
northern
Mexico.
Inflammatory
parameters,
phase
were
analyzed,
followed
up
depending
on
severity
persistence
(weekly
monthly)
assessed
1.5
years
infection.
79
patients,
among
them,
41.8%
presented
symptoms,
fatigue
being
most
common
(45.5%).
Patients
had
higher
levels
hospitalization,
NK
cell
also
associated
COVID.
ICU
admission
linked
development
symptoms.
Language: Английский
SÍNDROME PÓS-COVID-19: uma revisão integrativa
Monique Da Silva Brilhnante,
No information about this author
Carla Regina de Almeida Corrêa,
No information about this author
Magda de Mattos
No information about this author
et al.
Revista Enfermagem Atual In Derme,
Journal Year:
2024,
Volume and Issue:
98(1), P. e024286 - e024286
Published: March 24, 2024
Introdução:
A
síndrome
pós-COVID-19
é
definida
como
um
conjunto
de
sintomas
persistentes
da
doença
aguda
causada
pelo
vírus
SARS-Cov-2
não
atribuídas
a
outras
causas.
Essa
condição
clínica
acomete
uma
parcela
significativa
população
com
impacto
na
sua
qualidade
vida
e
nos
cuidados
saúde.
Objetivo:
Identificar
literatura
sobre
pós-COVID-19,
descrever
prevalência
principais
manifestações
clínicas.
Método:
Trata-se
revisão
integrativa
inclusão
artigos
acesso
via
Pubmed,
Lilacs
Scielo
publicados
entre
janeiro
2022
julho
2023,
os
descritores
sendo
post-COVID-19/pós-COVID-19;
long-COVID-19/COVID-19
longa,
post-acute
sequelae
of
COVID-19/sequelas
aguda,
prevalence/prevalência,
clinical
manifestations/manifestações
Identificou-se
525
dos
quais
26
foram
analisados
compuseram
amostra
Resultados:
descrita
variou
10%
93%
estudos
avaliaram
pacientes
em
períodos
que
compreenderem
1
mês
até
12
meses
após
infecção
aguda.
As
clínicas
no
podem
envolver
múltiplos
órgão
afetar
qualquer
sistemas
orgânicos.
Fadiga,
dispneia
anosmia
as
alterações
mais
citadas
literatura.
Conclusão:
variável
acordo
estudo,
todavia,
atinge
infectados
SARS-Cov-2.
Diante
variedade
clínicos
essencial
o
cuidado
aos
seja
realizado
por
equipe
multiprofissional
Os
serviços
saúde
devem
estar
capacitados
para
atuar
diante
desse
problema
mundial
se
perpetua
período
pós-pandêmico.
Análise das características clínicas e dos aspectos físicos da qualidade de vida no pós-COVID-19
Caderno Pedagógico,
Journal Year:
2024,
Volume and Issue:
21(4), P. e3693 - e3693
Published: April 11, 2024
OBJETIVO:
Identificar
as
características
clínicas
e
sua
relação
com
os
aspectos
físicos
da
Qualidade
de
Vida
(QV)
em
indivíduos
após
hospitalização
por
COVID-19.
MÉTODO:
Estudo
transversal
que
foram
hospitalizados
COVID-19
Rondonópolis,
MT.
Aplicou-se
um
questionário
para
avaliar
sociodemográficos
clínicos.
Foi
utilizado
o
instrumento
WHOQOL-
BREF
a
análise
QV,
no
qual
avaliou-se
facetas
do
domínio
físico.
Para
associações
entre
variáveis
escores
QV
utilizou-se
teste
T
RESULTADOS:
Foram
incluídos
91
participantes
estudo.
A
maioria
relatou
não
necessitar
tratamento
domiciliar
ou
ambulatorial
especializado
(65,2%),
desenvolveu
comorbidades
(61,9%)
precisou
fazer
uso
contínuo
novos
medicamentos
(80%)
mo
pós-COVID-19.
Um
total
87
(95,6%)
informaram
apresentar
sintomas
persistentes
e/ou
desenvolvidos
pós-COVID-19,
mais
frequentes
cansaço
fácil
(62,0%;
n=54)
alteração
na
memória/concentração
(58,6%;
n=51).
Os
relataram
desenvolvimento
alguma
comorbidade
alta
hospitalar
apresentaram
menor
média
nas
sono
repouso
(p=0,017)
dependência
medicamento
(p=0,025).
declararam
3
clínicos
pós-COVID-19
evidenciaram
menores
dor
desconforto
(p=0,0006),
energia
fadiga
(p=0,0033),
(p=0,0015),
mobilidade
(p=0,042),
(p=0,012),
atividade
vida
cotidiana
(p=0,0004)
capacidade
trabalho
(p=0,011).
CONCLUSÕES:
Comorbidades
persistência
pós-COIVD-19
impactaram
negativamente
físico
WHOQOL-BREF.
dados
enfatizam
necessidade
acompanhamento
longo
prazo
dos
recuperados
importância
serviços
saúde
estarem
capacitados
prestar
cuidado
integral
esta
população.
Early Biomarkers in Hospitalized Patients as Predictors of Long-Term Post- COVID-19 Conditions: A One-Year Cohort Study
Chithira V Nair,
No information about this author
K. Malavika,
No information about this author
Georg Gutjahr
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 4, 2023
Abstract
Background
Post-COVID-19
conditions
represent
a
significant
challenge
in
patient
care,
with
symptoms
persisting
beyond
three
month’s
post-recovery.
This
study
aimed
to
evaluate
the
incidence
of
post-COVID-19
at
one
year
and
identify
predictive
biomarkers
comorbidities
for
effective
risk
stratification.
Methods
A
cohort
120
adult
patients,
including
50
intensive
care
70
non-intensive
was
followed
up
two
weeks,
six
one-year
post-discharge
using
structured
questionnaires.
The
integrated
laboratory
forecast
PCC.
Results
median
age
participants
56
years,
40%
having
moderate
severe
comorbidities.
post-recovery,
32.8%
exhibited
post
COVID-19
conditions.
most
common
were
constitutional
(16%),
respiratory
(8.4%),
neuropsychiatric
(2.5%).
Bayesian
network
analysis
indicated
correlations
between
symptoms,
rehospitalisation,
C-reactive
protein,
lactate-dehydrogenase,
ferritin,
albumin.
Conclusion
highlights
prolonged
impact
conditions,
infection.
It
role
specific
such
as
albumin
tailoring
individual
by
advancing
understanding
prediction.
Our
findings
support
need
further
research
refine
these
insights,
which
are
pivotal
ongoing
patients
aftermath
COVID-19.
Language: Английский