Turkish Journal of Biochemistry,
Journal Year:
2024,
Volume and Issue:
50(1), P. 80 - 88
Published: Dec. 30, 2024
Abstract
Objectives
Comorbidities,
especially
diabetes,
significantly
contribute
to
the
mortality
and
morbidity
of
COVID-19.
Studies
indicate
higher
rates
among
diabetic
COVID-19
patients
compared
general
population.
However,
precise
mechanisms
underlying
this
immune
response
remain
incompletely
understood.
Our
study
aimed
explore
potential
disparities
in
prognosis
type
2
investigate
genomic-level
relationship
between
key
proteins
interferon
signaling
pathway:
IFNAR1,
IFNAR2,
IRF3
,
IRF7.
Methods
Mutation/polymorphism
analysis
was
conducted
identify
mutations
polymorphisms
group.
Predictive
assessments
mutation
pathogenicity
were
performed
using
PolyPhen-2
bioinformatics
tool,
while
STRING
network
enhanced
our
understanding
functional
protein
relationships
cellular
processes.
Results
We
detected
10
(3
missense,
intronic,
indel,
1
nonsense,
regulatory,
frameshift
mutation),
all
documented
Human
Gene
Mutation
Database.
PolyPhen2
flagged
three
missense
nonsense
as
pathogens.
The
found
no
consistent
trend
across
genes.
IFNAR2
IRF7
genes
decreased
disease
severity
lessened
both
patient
control
groups.
Diabetic
Covid-19
exhibited
IRF3,
non-diabetic
controls,
suggesting
that
Type
might
be
more
susceptible
genetic
when
infected
with
Conclusions
Understanding
these
profiles
could
improve
assessments,
enhance
preventive
measures,
aid
developing
effective
treatment
strategies
for
coronaviral
syndromes
severe
acute
respiratory
infections.
Diagnostics,
Journal Year:
2024,
Volume and Issue:
14(15), P. 1685 - 1685
Published: Aug. 4, 2024
The
coronavirus
disease
2019
(COVID-19)
pandemic
has
necessitated
the
identification
of
biomarkers
that
can
predict
severity,
particularly
in
vulnerable
populations
such
as
individuals
with
diabetes.
This
study
aims
to
evaluate
predictive
value
inflammatory
and
liver
function
markers,
specifically
derived
Neutrophil
Lymphocyte
Ratio
(dNLR),
aspartate
aminotransferase
(AST)-to-lymphocyte
ratio
(ALRI),
AST
Platelet
Index
(APRI),
Systemic
Inflammation
(SII),
COVID-19
patients
without
cross-sectional
included
336
participants,
comprising
168
diabetes
matched
without,
based
on
gender,
body
mass
index
(BMI),
severity
at
hospitalization.
was
conducted
Victor
Babes
Hospital
for
Infectious
Diseases
Pulmonology
from
January
2021
December
2023.
All
participants
had
a
confirmed
SARS-CoV-2
infection
met
inclusion
criteria
being
18
years
or
older
type
1
2
per
American
Diabetes
Association
guidelines.
At
3
days
post
symptom
onset,
significant
differences
markers
were
observed
between
two
groups.
dNLR,
ALRI,
APRI,
SII
notably
higher
diabetic
patients.
dNLR
cutoff
2.685,
sensitivity
specificity
70.312%
65.978%,
respectively,
an
AUC
0.624
(
Journal of Personalized Medicine,
Journal Year:
2024,
Volume and Issue:
14(8), P. 868 - 868
Published: Aug. 16, 2024
The
elevated
risk
of
severe
COVID-19
outcomes
in
patients
with
diabetes
underscores
the
need
for
effective
predictive
tools.
This
study
aimed
to
assess
accuracy
APACHE
II,
CURB-65,
SOFA,
and
NEWS2
scores
at
critical
time
points
diabetic
diagnosed
COVID-19,
aiming
guide
early
potentially
life-saving
interventions.
In
a
prospective
cohort
conducted
from
January
2021
December
2023,
adult
type
1
or
2
confirmed
SARS-CoV-2
infection
were
evaluated.
Clinical
calculated
admission
five
days
post-symptom
onset,
data
analyzed
using
receiver
operating
characteristic
(ROC)
curves
logistic
regression
determine
areas
under
curve
(AUC)
hazard
ratios
(HR)
outcomes.
Among
141
studied,
ROC
analysis
revealed
high
AUC
values
SOFA
(0.771
admission,
0.873
day
five)
(0.892
0.729
five),
indicating
strong
these
scores.
II
score's
improved
0.698
0.806
on
five,
reflecting
worsening
patient
conditions.
Regression
showed
significant
HRs
associated
exceeding
threshold
scores:
score
HR
was
3.07
(95%
CI:
2.29-4.12,
BMC Public Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Sept. 12, 2024
An
increased
risk
of
diabetes
mellitus
(DM)
after
COVID-19
has
been
reported
in
the
United
States,
Europe,
and
Asia.
The
burden
COVID-related
DM
yet
to
be
described
Africa,
where
overall
increasing
rapidly.
Our
objective
was
compare
prevalence
pre-DM
Nigerian
individuals
with
a
history
without
known
infection.
Інфекційні хвороби,
Journal Year:
2024,
Volume and Issue:
4, P. 4 - 13
Published: Dec. 17, 2024
Проблеми
перебігу
інфекційних
хвороб
на
тлі
супутньої
патології
вже
багато
років
цікавлять
науковців
і
клініцистів.
Колектив
кафедри
Івано-Франківського
національного
медичного
університету
вивчає
вплив
коморбідних
станів
перебіг
інфекційного
процесу
та
інфекційної
хвороби
стан
коморбідної
патології.
Фундатором
цієї
ідеї
був
доктор
медичних
наук,
професор,
завідувач
епідеміології
(1991–2013
рр.)
Богдан
Миколайович
Дикий.
За
було
вивчено
вагомі
клініко-лабораторні,
патогенетичні
терапевтичні
аспекти
вірусних
гепатитів,
кишкових
інфекцій,
лептоспірозу,
ВІЛ-інфекції,
деяких
респіраторних
паразитозів
супутніх
доведено
ризики,
які
ведуть
до
тяжкого
(чи
ускладненого)
як
хвороби,
так
дестабілізації
Викликом
для
усього
людства
була
поява
в
2019
р.
нового
штаму
коронавірусів
SARS-CoV-2.
Хоча
коронавірусна
хвороба
тепер
перейшла
розряд
сезонних
захворювань,
однак
вона
зберігає
значний
потенціал
викликати
тяжкі
ускладнені)
форми
недуги,
а
часом
з
летальним
вислідом.
У
комплексному
дослідженні
ми
вивчали
коронавірусної
у
пацієнтів
із
фоновим
цукровим
діабетом,
хронічною
серцево-судинною
патологією.
Було
деякі
COVID-19
вагітних.
ході
виконання
роботи
встановлено
механізми
ускладненого
хвороби:
при
цукровому
діабеті
2-го
типу
однією
важливих
ланок
патогенетичних
порушень
є
ендотелійна
дисфункція
зміни
мікросудинному
руслі;
такі
фактори
хронічна
серцева
недостатність,
зменшення
фракції
викиду,
міокарда
різних
типів,
легенева
гіпертензія,
–
мають
несприятливе
прогностичне
значення.
Щодо
вагітних,
то
попри
підвищення
рівнів
D-димерів,
вагітність
не
самостійним
чинником
ризику
(за
винятком
ожиріння,
наявного
цукрового
діабету,
хронічної
серцево-судинної
іншої
вагітної).
публікацію
включено
результати
досліджень,
фрагментом
комплексної
«Перебіг
захворювань
патології,
поєднаних
хронічних
інфекцій
інвазій,
корекція
лікування»,
державним
фінансуванням,
номер
державної
реєстрації:
0119U100571,
терміни
виконання:
2021-2023
рр.
Contribuciones a las Ciencias Sociales,
Journal Year:
2024,
Volume and Issue:
17(2), P. e4078 - e4078
Published: Feb. 9, 2024
Diabetes
mellitus
(DM)
is
a
condition
resulting
from
changes
in
cartilage
or
the
effect
of
insulin,
chronic
hyperglycemia.
In
diabetic
patients,
presence
COVID-19
increases
rates
serious
complications
and
there
greater
risk
mortality.
To
analyze
phenotypic
characteristics
hospitalizations
mortality
due
to
DM
Brazil
through
epidemiological
data
their
relationship
with
COVID-19.
This
an
observational,
descriptive,
cross-sectional,
quantitative
retrospective
study;
carried
out
analysis
secondary
on
for
DM,
Information
Technology
Department
Unified
Health
System
(DataSUS)
period
2018
2022
Brazil.
Variables
year
service,
region,
race/color,
age
group
sex
were
considered.
present
analysis,
MT
Southeast
Northeast
regions
terms
gender
distribution,
highest
prevalence
males
(51.05%),
but
lower
than
females
(2.69
x
2.84),
population
aged
between
50
over.
80
years
old
higher
percentages
international
TM.
Finally,
it
clear
that
Brown
race
required
more
(41.68%),
while
Black
was
associated
rates.
study,
possible
patients
influence
prognosis,
providing
basis
further
research
aim
analyzing
mechanisms
lead
aspects
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 11, 2024
Abstract
Background
An
increased
risk
of
diabetes
mellitus
(DM)
after
COVID-19
has
been
reported
in
the
United
States,
Europe,
and
Asia.
The
burden
COVID-related
DM
not
described
Africa,
where
overall
increasing
rapidly.
Our
objective
was
to
compare
prevalence
pre-DM
Nigerian
individuals
with
a
history
without
known
infection.
Methods
We
identified
256
past
medical
no
or
pre-DM/DM.
Participants
were
categorized
as
(fasting
capillary
glucose
100–125
mg/dL)
≥
126
mg/dL).
used
multivariate
multinomial
logistic
regression
determine
odds
those
adjustment
for
age,
gender,
presence
hypertension,
physical
activity,
central
adiposity,
family
DM.
Results
Compared
control
group,
had
similar
median
age
(38
vs
40
years,
p
=
0.84),
higher
proportion
men
(63%
49%),
lower
adiposity
(waist:
hip
ratio
0.90
males
WHR
0.85
females)
(48%
56.3%,
0.06).
Of
COVID-19,
44
(17%)
required
inpatient
care.
(interquartile
range)
time
interval
between
diagnosis
glycaemic
assessment
19
(14,
24)
months.
Pre-DM
27%
post-COVID-19
group
4%
whereas
7%
2%
group.
After
multivariable
adjustment,
8.12
(95%
confidence
(CI):
33.98,
16.58;
<
0.001)
higher,
3.97
CI:
1.16,
13.63)
compared
controls.
Conclusion
Previous
found
be
factor
prevalent
pre-diabetes
Nigeria.
More
intensive
screening
should
considered.
BMJ Open,
Journal Year:
2024,
Volume and Issue:
14(4), P. e077500 - e077500
Published: April 1, 2024
Objectives
This
study
aimed
to
evaluate
the
predictive
value
of
admission
D-dimer
levels
for
in-hospital
mortality
in
patients
with
COVID-19
and
acute
ischaemic
stroke.
Design
Cohort
(prospective).
Setting
Tertiary
referral
hospital
capital
city
Indonesia
conducted
from
June
December
2021.
Participants
60
stroke
were
included.
Patients
classified
into
groups
(low
high)
according
a
2
110
ng/mL
cut-off
value,
determined
via
receiver
operating
characteristic
analysis.
Primary
secondary
outcome
measures
The
primary
was
mortality,
as
major
predictor.
Secondary
outcomes
included
associations
between
other
demographic
clinical
variables
value.
Kaplan-Meier
method
used
carry
out
survival
analysis,
univariable
multivariable
Cox
regression
performed
assess
association
confounding
(including
demographic,
laboratory
parameters)
mortality.
Results
findings
demonstrated
an
elevated
(≥2
ng/mL)
increased
likelihood
death
during
hospitalisation.
adjusted
HR
14.054
(95%
CI
1.710
115.519;
p=0.014),
demonstrating
increase
risk
after
accounting
confounders
such
age
diabetes
history.
Other
significant
predictors
history
white
blood
cell
count.
Conclusions
Admission
may
be
useful
indicator
hospitalisation
individuals
Journal of Endocrinology and Metabolism,
Journal Year:
2024,
Volume and Issue:
14(2), P. 71 - 77
Published: April 1, 2024
Background:
Coronavirus
disease
2019
(COVID-19)
infection
is
more
severe
in
diabetic
cases
due
to
abnormality
hematological
and
inflammatory
markers.
This
study
was
conducted
determine
the
values
of
neutrophil-lymphocyte
ratio
(NLR),
lymphocyte-monocyte
(LMR),
platelet-lymphocyte
(PLR)
C-reactive
protein
COVID-19
nondiabetic
patients,
with
a
specific
focus
on
associating
these
markers
severity
mortality.
Methods:
A
descriptive
done
by
collecting
laboratory
parameters
patients
(n
=
123)
124)
retrospectively
at
King
Fahad
Medical
City,
Saudi
Arabia.
Results:
Compared
nondiabetics,
diabetes
were
older,
their
mean
white
blood
cells
(9.16;
8.22),
monocytes
(7.68;
7.08),
eosinophils
high
(0.69;
0.26),
lymphocytes
low
(17.65;
18.77).
The
NLR,
LMR,
PLR,
D-dimer
higher,
statistical
significance
for
NLR
(P
0.05)
PLR
0.005).
Diabetic
had
longer
hospital
stay
(17
days),
higher
intensive
care
admissions
(28.5%),
mortality
rate
(11.4%).
percentage
comorbidities
higher.
Multinomial
logistic
regression
analysis
performed
controlling
age
sex,
we
obtained
odds
several
factors.
association
not
statistically
significant.
Conclusions:
results
from
this
research
identified
that
protein,
than
patients.
J
Endocrinol
Metab.
2024;14(2):71-77
doi:
https://doi.org/10.14740/jem934
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 9, 2024
Abstract
Objectives
The
global
health
crisis
caused
by
SARS-CoV-2
has
led
to
over
760
million
confirmed
cases
and
6.8
deaths
worldwide,
primarily
impacting
the
respiratory
system
with
symptoms
varying
from
mild
severe.
This
study
aimed
analyze
interplay
between
vaccination
status,
sociodemographic
profiles,
comorbidities,
COVID-19
outcomes.
Study
Design
Observational,
cross-sectional,
analytical.
Methods
analyzed
data
6,953
individuals,
examining
statuses,
test
results,
other
relevant
variables.
cohort
comprised
predominantly
mixed-race
(51%),
Caucasian
(38%),
Black
(9.5%)
61%
being
female
60%
aged
21-50
years.
Prevalent
comorbidities
included
hypertension
(18.2%),
diabetes
(4.9%),
obesity
(0.4%).
Results
Population-weighted
analysis
revealed
significant
associations
factors
Younger
age
groups,
particularly
11-30
years,
had
higher
positivity
rates,
which
declined
age.
Caucasians
exhibited
rates
(40.1%)
compared
ethnicities.
Cramér’s
V
indicated
small
correlations
outcomes,
notably
loss
of
taste
(V
=
0.11)
smell
0.08).
Odds
ratio
identified
as
significantly
associated
(OR
1.54,
95%
CI:
1.28-1.83,
p
<
0.001),
while
was
lower
0.13,
0.02-0.63,
0.025).
Symptoms
such
fever,
cough,
taste,
smell,
myalgia
also
showed
positive
Conclusions
provides
valuable
insights
into
complex
characteristics,
symptoms,