CHANGES IN INDICATORS OF ENDOGENOUS INTOXICATION, NONSPECIFIC REACTIVITY, AND INFLAMMATION CAUSED BY SARS-COV-2
Eastern Ukrainian Medical Journal,
Год журнала:
2024,
Номер
12(2), С. 422 - 430
Опубликована: Янв. 1, 2024
Introduction:
Despite
the
fact
that
entire
scientific
world
is
concerned
about
COVID-19,
65
million
people
are
living
with
Long
COVID,
suffering
from
general
weakness,
fatigue,
cognitive
dysfunction,
and
shortness
of
breath.
This
problem
global
for
humanity
because
decrease
in
ability
to
work
mental
activity
population,
which
leads
economic
losses.
The
remains
open
requires
further
research.
Materials
Methods:
a
total
108
patients
were
examined
divided
into
three
groups:
group
A
–
31
confirmed
B
35
C
42
practically
healthy
individuals.
Hematologic
nonspecific
immunologic
changes
studied.
Statistical
data
processing
was
performed
using
STATA
software
by
StataCorp
(Texas,
USA)
calculation
parametric
non-parametric
criteria.
Results:
middle-aged
women
predominated
study
groups.
Among
hematologic
parameters,
an
increase
leukocytes,
erythrocytes,
ESR
observed
COVID-19
group.
Patients
had
2.5
times
more
rods
neutrophils
than
2.3
C.
In
integrative
indicators
endogenous
intoxication
exceeded
corresponding
compared
COVID
(p<0.05).
there
tendency
(p=0.055
0.588)
increased
(the
index
2.6
higher
(p<0.05))
indices
reactivity
(resistance
coefficient,
lymphocyte
index,
eosinophil
ratio
allergy
index)
lower
inflammation
(total
Krebs
leukocyte/
individuals
Conclusions:
characterized
leftward
shift
leukocyte
formula,
intoxication,
pronounced
inflammatory
process,
activation
tissue
breakdown.
For
slight
low
degree
Язык: Английский
Long COVID as a multisystem problem and recent challenges
Likarska sprava,
Год журнала:
2025,
Номер
1
Опубликована: Март 31, 2025
Abstract.
The
aim
of
the
review
is
to
identify
and
summarize
main
theories
Long
COVID,
pathogenesis
clinical
signs.
Materials
Methods.
110
articles
from
PubMed,
Scopus,
Google
Scholar,
as
well
WHO
data
statistics
on
prevalence
COVID
for
period
2022-2025,
which
contain
relevant
information
this
syndrome,
were
processed.
Special
attention
paid
lesions
nervous
system
psycho-emotional
sphere.
Conclusions.
1.
More
than
65
million
people
are
affected
by
COVID.
High
susceptibility
observed
in
women,
unvaccinated
people,
patients
with
chronic
diseases.
2.
hypotheses
development
inflammation
due
a
cytokine
storm,
immune
response
production
antibodies
against
SARS-CoV-2
proteins,
nucleoprotein
N
spike
S,
vascular
dysfunction
increased
blood-brain
barrier
permeability.
3.
pathogenetic
mechanism
post-COVID
syndrome
persistence
virus,
dysregulation
system,
mitochondrial
dysfunction,
prothrombotic
autoantibodies,
contributes
hypercoagulability.
Lesions
associated
impaired
neurotransmission,
inflammation,
cerebral
hypoxia,
formation
“string
vessels,”
leads
cognitive
impairment.
4.
leading
symptoms
damage
are:
“brain
fog,”
confusion,
prolonged
headache,
fatigue,
autonomic
disorders,
orthostatic
insufficiency,
peripheral
form
neuropathies,
myopathies,
isolated
cranial
nerve
(anosmia
agevia).
5.
Depression,
anxiety
post-traumatic
stress
disorder,
circadian
rhythm
sleep
disorders
signs
impact
sphere
psychiatric
disorders.
Язык: Английский
FEATURES OF COVID-19 IN PATIENTS WITH DIABETES MELLITUS
Eastern Ukrainian Medical Journal,
Год журнала:
2024,
Номер
12(3), С. 660 - 669
Опубликована: Янв. 1, 2024
Introduction:
Diabetes
mellitus
and
COVID-19
are
nosologies
that
pose
new
challenges
in
the
field
of
medicine,
after
their
combination,
have
already
outlined
importance
potentially
large
impact
on
health
people
around
world.
Each
these
pathologies
individually
has
a
significant
lives
well-being
patients,
together
they
create
complex
conditions
for
medical
practice
healthcare
organization.
The
study
mutual
influence
diabetes
clinical
picture,
features
course,
diagnosis
treatment
patients
is
great
relevance
both
scientific
community
applied
practical
its
continuation
expansion
public
need.
Materials
Methods:
А
total
53
with
were
examined.
Their
records
reviewed.
To
assess
parameters,
epidemiological
data,
physical
psycho-emotional
state
author's
own
questionnaire
"Form
Communication-1"
was
created
used.
Based
data
obtained,
statistical
indicators
calculated:
Pearson's
test
qualitative
indicators,
Mann-Whitney
U
used
as
non-parametric
analysis
method,
Student's
t-test
values
corresponded
to
normality
distribution,
respectively.
Results:
Patients
divided
into
two
groups:
(20
37.7%)
without
this
pathology
(comparison
group)
(33
62.3%).
Most
those
studied
women
(57%),
aged
(59.2
±
12.5)
years.
hospitalized
days
4-5
disease.
Among
concomitant
pathologies,
arterial
hypertension
coronary
heart
disease
more
frequently
detected
group
(85%
each),
comparison
(55%
52%,
respectively
(p
<
0.05).
coronavirus
began
acutely
chills
fever
up
(38.3±0.18)
°C.
Generalized
weakness
experienced
by
96
%
patients.
complaints
group,
ague
%)
hoarseness
voice
(52
prevailed
Severe
observed
85%
mellitus,
-
33%
On
contrary,
moderate
severity
(64
patients)
blood
glucose
level
setting
type
2
(9.9
6.8)
mmol/L
higher
than
(5.8
1.4)
mmol/L,
indicating
hyperglycemia
due
impaired
tolerance
Conclusions:
Women
(57%)
middle
age
years)
predominate
among
predominates
mellitus.
picture
not
significantly
different
compared
groups,
but
laboratory
(elevated
C-reactive
protein,
changes
platelet
size,
elevated
levels
alanine
aminotransferase,
aspartate
gamma-glutamyl
transpeptidase,
urea,
creatinine),
objective
symptoms
(changes
general
condition,
severe
auscultatory
abnormalities)
indicate
pronounced
SARS-CoV-2
induces
metabolism
contributes
COVID-19,
which
turn
leads
hypercytokinemia,
cytokine
storm,
tissue
airway
damage.
Язык: Английский
Characteristics of neurovegetative disorders in ischemic heart disease patients after coronavirus disease 2019 (COVID-19)
Zaporozhye Medical Journal,
Год журнала:
2024,
Номер
26(2), С. 106 - 113
Опубликована: Март 29, 2024
The
aim
of
the
study.
To
examine
frequency
and
spectrum
cognitive,
anxiety-depressive,
autonomic
disorders
their
interrelationship
in
patients
with
coronary
heart
disease
(CHD)
after
COVID-19
infection.
Materials
methods.
study
involved
71
CHD,
stable
angina
pectoris
FC
II–III
(age
69.0
[64.0;
76.0]
years):
group
1
(main)
–
31
CHD
COVID-19;
2
(comparison)
40
without
history.
Spectral
temporal
HRV
parameters
were
assessed
using
24-hour
Holter
ECG
monitoring,
anxiety-depressive
(ADD)
HADS
scale,
cognitive
status
according
to
MoCa
scale.
Results.
had
a
higher
ADD
detection
greater
anxiety
level
(16
[10;
24]
versus
10
[9;
13]
points,
p
<
0.05),
depression
(14
[8;
20]
11
12]
0.05)
as
compared
previous
history
COVID-19.
At
same
time,
predominance
component
over
depressive
one
both
groups
has
been
revealed.
In
COVID-19,
decrease
total
scale
score
found
COVID-19:
24
[22;
26]
28
[26;
30]
0.05.
There
was
an
association
between
severity
impairment
(r
=
-0.36,
0.05).
exposed
showed
increased
sympathetic
parasympathetic
tone
central
nervous
system
within
hours,
LF/HF
ratio
during
active
period,
activation
slow-acting
humoral
regulation
mechanisms
amid
increasing
stress
index
centralization
index.
wide
range
correlations
rate
ADD,
found.
Conclusions.
Patients
recovered
from
have
shown
increase
incidence
degree
disorder
manifestations
which
accompanied
by
dysfunction
resulting
on
functional
adaptive
state
cardiovascular
system.
confirmed
common
pathogenetic
links
Язык: Английский
ЕФЕКТИВНІСТЬ ЗАСТОСУВАННЯ КОМП’ЮТЕРНОЇ ТОМОГРАФІЇ ТА СУЧАСНИХ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ У ВИЯВЛЕННІ СТРУКТУРНИХ ЗМІН СЕРЦЯ ПРИ ГОСТРІЙ ФОРМІ COVID-19
Біомедична інженерія і технологія,
Год журнала:
2024,
Номер
14, С. 47 - 53
Опубликована: Июнь 14, 2024
За
допомогою
комп’ютерної
томографії
та
сучасних
методів
інформаційних
технологій
можливо
оцінити
не
тільки
стан
ураження
легень,
а
й
визначити
зміни
в
серці,
які
непомітні
неозброєним
оком
безпосередньо
під
час
КТ-діагностики.
Основною
метою
даного
дослідження
є
аналіз
структурних
змін
пов’язаних
із
гострим
перебігом
COVID-19.
Отримані
результати
можуть
бути
приводом
для
призначення
специфічних
кардіологічних
обстежень
лікувальних
заходів.
Використано
відкритий
датасет
COVID-CT-MD
дані
КТ
обстежень,
виконаних
Національному
інститут
фтизіатрії
і
пульмонології
імені
Ф.Г.
Яновського
НАМН
України
Національного
інституту
серцево-судинної
хірургії
М.М.
Амосова
України.
Спостереження
були
розділені
на
два
класи:
1-
особи,
хворіли
COVID-19
2
–
особи
гострою
формою
В
результаті
розмітки
КТ-серій
виключення
явними
візуальними
артефактами
залишено
167
68
випадків(пацієнтів)
норми
відповідно.
Для
балансування
класів
застосовано
метод
андерсемплінгу.
Даний
скоротив
кількість
випадків
до
кожного
з
класів.
оцінки
серці
текстурну
матрицю
суміжності
градацій
сірого
(GLCM)
ансамблеві
(Random
Forest,
LightGBM,
XGBoost)
класичні
(SVM)
класифікатори.
Загальну
вибірку
розділено
тренувальну
валідаційну
частками
70%
30%
Розроблено
оригінальний
алгоритм
відбору
інформативних
ознак
GLCM,
який
включає
відбір
найбільш
повторюваних
відтінків
їх
комбінацій
у
сусідніх
точках
зображення
двох
класах.
Якість
класифікації
оцінено
за
наступними
критеріями:
точність,
чутливість,
специфічність
F-міра.
Найкращий
результат
продемонстрував
SVM
точністю
63%
F-мірою
тестовій
вибірці.
Встановлено,
що
специфічні
структурні
при
виявлені
даними
застосуванням
технологій.
COVID-19 AND OTHER ACUTE RESPIRATORY VIRAL INFECTIONS
Bulletin of Problems Biology and Medicine,
Год журнала:
2024,
Номер
1(3), С. 108 - 108
Опубликована: Янв. 1, 2024
Язык: Английский
SERUM CERULOPLASMIN AS A PROGNOSTIC INDICATOR OF LONG COVID
Bulletin of Problems Biology and Medicine,
Год журнала:
2024,
Номер
1(3), С. 173 - 173
Опубликована: Янв. 1, 2024
CLINICAL AND EPIDEMIOLOGICAL FEATURES OF THE COURSE OF CORONAVIRUS INFECTION DEPENDING ON THE PERIOD OF ILLNESS
Інфекційні хвороби,
Год журнала:
2024,
Номер
3, С. 28 - 34
Опубликована: Окт. 11, 2024
After
the
COVID-19
pandemic,
persistence
of
Long
COVID
symptoms
is
particular
concern,
which
significantly
affects
quality
life
and
ability
to
work.
The
aim
study
establish
peculiarities
clinical
epidemiological
data
in
patients
infected
with
SARS-CoV-2
depending
on
period
illness.
Patients
methods.
We
examined
108
divided
into
three
groups:
those
confirmed
COVID-19,
COVID,
practically
healthy
persons.
features
course
were
determined
based
analysis
medical
records
developed
questionnaire.
Results.
Women
predominated
among
subjects
(56
%)
an
average
age
41.44
years.
main
that
characterized
picture
generalized
weakness/fatigue
(94
%),
headache
(74
fever/body
aches
cough
71
%
(p<0.05).
In
group,
compared
(40
(29
(3
(9
less
common,
sleep
disorders
/
insomnia
(17
muscle
pain
(11
shortness
breath
runny
nose
sneezing
(6
loss
(worsening)
appetite
sore
throat
difficulty
concentrating
abdominal
Conclusions.
Reduced
access
healthcare
services
leads
delayed
hospitalization,
prolonged
treatment,
complications.
level
vaccination
does
not
affect
risk
COVID.
Clinical
signs
COVID:
weakness/fatigue,
anxiety,
mood
disturbance,
are
detected
one
third
cause
a
decrease
overall
life.
most
persistent
general
headache,
breath,
disorders/insomnia
persist
34-42
from
moment
confirmed.
Язык: Английский
Development of Artificial Intelligence-Based Programs for the Diagnosis of Myocarditis in COVID-19 Using Chest Computed Tomography Data»
Ukrainian journal of cardiovascular surgery,
Год журнала:
2024,
Номер
32(3), С. 58 - 65
Опубликована: Сен. 27, 2024
It
has
been
established
that
7.2%
of
patients
hospitalized
with
coronavirus
disease
(COVID-19)
exhibit
signs
heart
disease,
23%
these
experiencing
failure.
Currently,
there
is
a
lack
data
on
chest
computed
tomography
(CT)
for
diagnosing
myocarditis
associated
COVID-19.
The
aim.
To
justify
the
feasibility
and
develop
classification
models
in
COVID-19
based
CT
processing.
Materials
methods.
A
retrospective
analysis
from
140
was
conducted.
Chest
scans
were
analyzed
using
DRAGONFLY
software,
permission
Object
Research
Systems.
COVID-CT-MD
database,
which
includes
169
confirmed
cases
SARS-CoV-2
infection,
used
to
build
models.
regions
interest
fragments
images.
Texture
methods
employed
create
diagnostic
Results.
shown
average
density
myocardium
patient
diagnosis
infection
according
Hounsfield
scale
does
not
essentially
differ
densitometric
indicators
healthy
person.
Therefore,
research
focused
finding
structural
changes
images
their
use
constructing
different
algorithms
had
little
effect
accuracy,
probably
due
informational
content
input
data.
However,
obtained
accuracy
acceptable
allows
them
be
support
medical
decision-making
regarding
treatment.
Conclusions.
Using
classic
methods,
diagnosed
7.1%
severe
pneumonia
caused
by
coronavirus.
global
closely
aligns
results
our
clinical
studies.
allowed
assessing
characteristic
acute
form
infection.
constructed
indicate
specific
during
can
identified
CT.
highest
test
samples
reached
74%.
implementation
developed
programs
texture
artificial
intelligence
technologies
enables
assessment
long-term
treatment
efficiency.
Creation
significantly
simplifies
work
radiologists
improves
efficiency
Язык: Английский