Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 17, 2025
Cardiometabolic
index
(CMI),
visceral
adiposity
(VAI),
and
lipid
accumulation
product
(LAP)
are
lipid-related
parameters
that
reflect
central
obesity,
which
is
closely
associated
with
the
development
of
non-alcoholic
fatty
liver
disease
(NAFLD).
The
aim
this
study
to
investigate
effectiveness
these
in
diagnosing
NAFLD
compare
their
predictive
abilities.
This
population-based
extracted
datasets
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2017-2020.
CMI,
VAI,
LAP
were
included
multivariate
logistic
model
as
both
continuous
categorical
variables
assess
relationship
between
different
NAFLD.
To
further
elucidate
connection,
we
utilized
restricted
cubic
splines
conducted
subgroup
analysis.
Additionally,
receiver
operating
characteristics
(ROC)
curve
was
employed
evaluate
for
2,878
adults
population,
whom
1,263
participants
diagnosed
When
analyzed
variables,
they
showed
a
positive
correlation
OR(95%CI)
2.29(1.81,2.89)
CMI
(per
1-unit),
1.40(1.28,1.52)
VAI
1-unit)
1.15(1.11,1.20)
10-units).
remains
statistically
significant
when
variables.
In
descending
order
diagnostic
capability
NAFLD,
AUC
values
follows:
(0.794),
(0.752),
(0.719).
may
be
important
clinical
indicators
identifying
demonstrating
best
ability
among
them.
Saudi Journal of Gastroenterology,
Journal Year:
2024,
Volume and Issue:
30(5), P. 310 - 318
Published: June 28, 2024
Globally,
viral
hepatitis
is
decreasing,
but
nonalcoholic
fatty
liver
disease
(NAFLD),
now
metabolic
dysfunction-associated
steatotic
(MASLD),
increasing.
We
assessed
the
burden
and
trends
of
MASLD
in
Saudi
Arabia.
JHEP Reports,
Journal Year:
2024,
Volume and Issue:
7(3), P. 101271 - 101271
Published: Nov. 14, 2024
This
study
used
the
Global
Burden
of
Disease
data
(2010-2021)
to
analyze
rates
and
trends
point
prevalence,
annual
incidence,
years
lived
with
disability
(YLDs)
for
metabolic
dysfunction-associated
steatotic
liver
disease
(MASLD)
in
204
countries.
Total
numbers
age-standardized
per
100,000
population
MASLD
YLDs
were
compared
across
regions
countries
by
age,
sex,
sociodemographic
index
(SDI).
Smoothing
spline
models
evaluate
relationship
between
burden
SDI.
Estimates
reported
uncertainty
intervals
(UI).
Globally,
2021,
prevalence
15,018.1
cases
(95%
UI
13,756.5-16,361.4),
incidence
608.5
(598.8-617.7),
0.5
(0.3-0.8)
years.
was
higher
men
than
women
(15,731.4
vs.
14,310.6
population).
Prevalence
peaked
at
ages
45-49
50-54
women.
Kuwait
(32,312.2
people;
95%
UI:
29,947.1-34,839.0),
Egypt
(31,668.8
29,272.5-34,224.7),
Qatar
(31,327.5
29,078.5-33,790.9)
had
highest
2021.
The
largest
increases
estimates
from
2010
2021
China
(16.9%,
14.7%-18.9%),
Sudan
(13.3%,
9.8%-16.7%)
India
(13.2%,
12.0%-14.4%).
varied
SDI,
peaking
moderate
SDI
levels.
is
a
global
health
concern,
Kuwait,
Egypt,
Qatar.
Raising
awareness
about
risk
factors
prevention
essential
every
country,
especially
China,
India,
where
are
rapidly
increasing.
research
provides
comprehensive
analysis
MASLD,
highlighting
its
rising
particularly
varying
indices.
findings
significant
both
clinicians
policymakers,
as
they
offer
critical
insights
into
regional
disparities
burden,
which
can
inform
targeted
intervention
strategies.
However,
study's
reliance
on
modeling
available
suggests
cautious
interpretation,
further
needed
validate
these
clinical
real-world
settings.
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 17, 2025
Cardiometabolic
index
(CMI),
visceral
adiposity
(VAI),
and
lipid
accumulation
product
(LAP)
are
lipid-related
parameters
that
reflect
central
obesity,
which
is
closely
associated
with
the
development
of
non-alcoholic
fatty
liver
disease
(NAFLD).
The
aim
this
study
to
investigate
effectiveness
these
in
diagnosing
NAFLD
compare
their
predictive
abilities.
This
population-based
extracted
datasets
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2017-2020.
CMI,
VAI,
LAP
were
included
multivariate
logistic
model
as
both
continuous
categorical
variables
assess
relationship
between
different
NAFLD.
To
further
elucidate
connection,
we
utilized
restricted
cubic
splines
conducted
subgroup
analysis.
Additionally,
receiver
operating
characteristics
(ROC)
curve
was
employed
evaluate
for
2,878
adults
population,
whom
1,263
participants
diagnosed
When
analyzed
variables,
they
showed
a
positive
correlation
OR(95%CI)
2.29(1.81,2.89)
CMI
(per
1-unit),
1.40(1.28,1.52)
VAI
1-unit)
1.15(1.11,1.20)
10-units).
remains
statistically
significant
when
variables.
In
descending
order
diagnostic
capability
NAFLD,
AUC
values
follows:
(0.794),
(0.752),
(0.719).
may
be
important
clinical
indicators
identifying
demonstrating
best
ability
among
them.
