Problems of Balneology Physiotherapy and Exercise Therapy,
Journal Year:
2024,
Volume and Issue:
101(6), P. 71 - 71
Published: Jan. 31, 2024
Obesity,
being
a
global
epidemic
of
the
21st
century,
increases
likelihood
various
diseases
and
conditions
that
are
associated
with
increased
mortality.
Given
risks
obesity
throughout
life,
identifying
early
predictors
its
development
is
priority
task
prevention.
Assessment
prognostic
significance
laboratory
parameters,
functional
tests
instrumental
examination
data
for
diagnosis
metabolic
disorders.
The
studies
were
conducted
at
Scientific
Clinical
Center
1
B.V.
Petrovsky
Russian
Surgery
participation
77
patients
(43
men
34
women)
aged
33
to
65
years.
After
signing
voluntary
informed
consent
special
study
processing
their
personal
data,
all
underwent
comprehensive
clinical,
examination.
design
provided
three-time
an
interval
6
12
months.
To
search
disorders,
we
used
algorithm
constructing
mathematical
model
multiple
regression.
dynamics
body
mass
index
insulin
resistance
served
as
resulting
feature.
build
predictive
model,
matrix
independent
variables
was
formed,
including
parameters
characterizing
biochemical
status
patients,
severity
systemic
inflammation,
composition,
well
arterial
stiffness
vascular
condition
based
on
results
ultrasound
duplex
scanning
brachiocephalic
arteries.
choice
most
informative
set
act
provides
achieving
maximum
additive
effect
in
explaining
variance
construction
actual
regression
selection
factors
carried
out
using
method
sequential
hypothesis
testing.
As
result
applying
testing,
three
(predictors)
identified
predict
degree
BMI
increase
four
accuracy
developed
verified
final
stage
study,
showed
high
information
content.
Two
clusters
identified:
cluster
risk
includes
inflammatory
response
index,
triglyceride-glucose
blood
leptin
level.
biomarkers
disorders
consists
atherogenicity
coefficient,
malondialdehyde
level,
inflammation
roundness
index.
Current Obesity Reports,
Journal Year:
2025,
Volume and Issue:
14(1)
Published: May 13, 2025
Abstract
Summary
Dermatological
diseases
such
as
acne,
hidradenitis
suppurativa
(HS),
and
psoriasis
are
driven
by
chronic
inflammation
oxidative
stress.
Emerging
evidence
highlights
the
role
of
nutrition
in
modulating
these
conditions,
particularly
through
dietary
patterns
rich
antioxidants,
polyphenols,
unsaturated
fatty
acids.
Recent
Findings
The
Mediterranean
diet
(MedDiet)
has
demonstrated
potential
benefits
due
to
its
anti-inflammatory
immunomodulatory
effects,
while
very
low-energy
ketogenic
therapy
(VLEKT)
shown
promise
rapidly
improving
disease
severity.
Specific
nutrients,
including
omega-3
acids,
probiotics,
micronutrients,
may
further
contribute
management.
However,
current
literature
is
limited
small-scale
studies
lack
standardized
guidelines.
Purpose
Review
This
Consensus
Statement
,
developed
collaboratively
Italian
Association
Dietetics
Clinical
Nutrition
(ADI),
Society
Dermatology
Sexually
Transmitted
Diseases
(SIDeMaST),
Nutraceuticals
(SINut),
Club
Ketodiets
“KetoNut-SINut”
Endocrinology
(SIE),
Nutrition,
Hormones
Metabolism
aimed
establish
an
evidence-based
framework
for
medical
(MNT)
most
common
inflammatory
skin
diseases,
HS
psoriasis.
DAHUDER Medical Journal,
Journal Year:
2024,
Volume and Issue:
4(4), P. 77 - 82
Published: Oct. 29, 2024
Introduction:
Obesity
has
become
a
global
health
issue,
with
its
prevalence
steadily
increasing.
It
is
closely
linked
to
several
metabolic
disorders,
cardiovascular
diseases,
non-alcoholic
fatty
liver
disease,
and
chronic
low-grade
inflammation
can
progress
more
severe
conditions.
This
study
evaluates
the
relationship
between
obesity
inflammatory
markers
in
individuals
different
levels.
Methods:
A
cross-sectional
was
conducted
among
50
patients
categorized
into
three
classes
based
on
body
mass
index
(BMI).
Blood
samples
were
taken
evaluate
markers,
including
white
blood
cell
(WBC)
count,
neutrophil-to-lymphocyte
ratio
(NLR),
C-reactive
protein
(CRP).
Results:
There
no
statistically
significant
differences
such
as
WBC,
NLR,
or
CRP;
trend
toward
higher
CRP
levels
observed
Class
3
obesity.
Conclusion:
In
our
study,
association
degree
of
Although
sample
size
relatively
small,
it
essential
acknowledge
that
multifaceted
condition,
genetic
variations
may
play
role
these
results.
Journal of Clinical Medicine,
Journal Year:
2024,
Volume and Issue:
13(24), P. 7693 - 7693
Published: Dec. 17, 2024
Background/Objectives:
Cardiopulmonary
bypass
can
lead
to
hemodilution,
causing
a
fluid
shift
the
interstitial
space.
Albumin
helps
counteract
intravascular
movement
extravascular
space
and
reduces
risk
of
complications
associated
with
imbalance.
Our
main
objective
was
evaluate
effectiveness
albumin
addition
in
cardiopulmonary
priming
solution
compared
standard
priming,
focusing
on
its
role
reducing
pleural
effusion
development.
Methods:
This
single-center
randomized
controlled
trial
conducted
at
tertiary
care
hospital
specializing
cardiology
cardiac
surgery.
It
involved
70
individuals
scheduled
for
elective
open-heart
All
cases
were
randomly
assigned
into
two
groups
35
patients.
The
study
group
replaced
100
mL
CPB
20%
human
albumin.
We
measured
serum
levels
before
after
surgery,
6
12
h
after,
calculated
colloid
oncotic
pressure.
Thorax
CT
scans
performed
first
postoperative
day
measure
calculate
volume.
Results:
led
significant
reduction
development
CPB.
An
level
<35
g/L
surgery
showed
increase
development,
sufficient
maintain
>
g/L.
Conclusions:
suggests
link
between
hypoalbuminemia
early
CPB,
as
well
possible
benefits
adding
crystalloid
minimize
Problems of Balneology Physiotherapy and Exercise Therapy,
Journal Year:
2024,
Volume and Issue:
101(6), P. 71 - 71
Published: Jan. 31, 2024
Obesity,
being
a
global
epidemic
of
the
21st
century,
increases
likelihood
various
diseases
and
conditions
that
are
associated
with
increased
mortality.
Given
risks
obesity
throughout
life,
identifying
early
predictors
its
development
is
priority
task
prevention.
Assessment
prognostic
significance
laboratory
parameters,
functional
tests
instrumental
examination
data
for
diagnosis
metabolic
disorders.
The
studies
were
conducted
at
Scientific
Clinical
Center
1
B.V.
Petrovsky
Russian
Surgery
participation
77
patients
(43
men
34
women)
aged
33
to
65
years.
After
signing
voluntary
informed
consent
special
study
processing
their
personal
data,
all
underwent
comprehensive
clinical,
examination.
design
provided
three-time
an
interval
6
12
months.
To
search
disorders,
we
used
algorithm
constructing
mathematical
model
multiple
regression.
dynamics
body
mass
index
insulin
resistance
served
as
resulting
feature.
build
predictive
model,
matrix
independent
variables
was
formed,
including
parameters
characterizing
biochemical
status
patients,
severity
systemic
inflammation,
composition,
well
arterial
stiffness
vascular
condition
based
on
results
ultrasound
duplex
scanning
brachiocephalic
arteries.
choice
most
informative
set
act
provides
achieving
maximum
additive
effect
in
explaining
variance
construction
actual
regression
selection
factors
carried
out
using
method
sequential
hypothesis
testing.
As
result
applying
testing,
three
(predictors)
identified
predict
degree
BMI
increase
four
accuracy
developed
verified
final
stage
study,
showed
high
information
content.
Two
clusters
identified:
cluster
risk
includes
inflammatory
response
index,
triglyceride-glucose
blood
leptin
level.
biomarkers
disorders
consists
atherogenicity
coefficient,
malondialdehyde
level,
inflammation
roundness
index.