Development of a Fully Digital Design Process for Customized Mandibular Advancement and its Precision Additive Manufacturing
Published: Jan. 1, 2025
This
study
aims
to
develop
a
fully
digital
workflow
for
the
fabrication
of
customized
mandibular
advancement
devices
(MAD).
Customized
MADs
are
used
treat
obstructive
sleep
apnea
and
typically
require
8-10
days
fabricate
through
traditional
manufacturing.
The
currently
designed
methodology
considerably
shortens
this
timescale
2-3
days,
providing
viable
alternative
methods.
process
integrates
intraoral
scanning,
computer-aided
modeling,
additive
manufacturing
using
DD
guide
material
light
processing
technology.
Along
with
integration,
also
optimizes
scanning
accuracy,
printing
orientation,
precision,
usability.
precision
was
examined
by
fabricated
part
stereolithography
file.
dimensional
discrepancy
device
0.0287
mm
which
is
within
clinically
acceptable
value.
Furthermore,
analysis
indicates
that
orientations
0°
45°
deliver
higher
surface
quality,
proving
be
most
cost-effective
grinding
post-processing.
durability
proved
unaffected
mechanical
properties
even
after
washing
more
than
1000
times
(equivalent
3
years).
Thus,
considering
dental
(DAM)
market
trends,
highlights
viability
an
efficient,
adaptable,
hygienic
MADs.
Language: Английский
The connection between depression and frailty among older adults with obstructive sleep apnea: results from a multicenter cohort study
Xin Xue,
No information about this author
Kun Qian,
No information about this author
Libo Zhao
No information about this author
et al.
Sleep And Breathing,
Journal Year:
2025,
Volume and Issue:
29(1)
Published: Feb. 27, 2025
Language: Английский
Development of A Fully Digital Design Process for Customized Mandibular Advancement and Its Precision Additive Manufacturing
Annals of 3D Printed Medicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100199 - 100199
Published: March 1, 2025
Language: Английский
Prevalence and risk factors of obstructive sleep apnea in depression: an observational retrospective study
Xiujuan Chen,
No information about this author
Zhengfa Qiu,
No information about this author
Changzhou Hu
No information about this author
et al.
Frontiers in Psychiatry,
Journal Year:
2025,
Volume and Issue:
16
Published: April 7, 2025
A
substantial
number
of
previous
studies
have
concentrated
on
the
prevalence
depression
among
patients
with
obstructive
sleep
apnea
(OSA).
However,
research
regarding
OSA
remains
relatively
scarce.
The
aim
this
study
was
to
determine
and
identify
associated
risk
factors.
single-center
retrospective
chart
review
conducted.
focused
diagnosed
who
were
referred
for
a
polysomnogram
(PSG)
during
one-year
period.
Patients
(OSA)
if
their
apnea-hypopnea
index
(AHI)
≥5.
Using
PSG
monitoring
results,
classified
into
two
distinct
groups:
group,
consisting
50
patients,
non-OSA
which
included
109
patients.
An
in-depth
analysis
subsequently
conducted
architecture
factors
OSA.
Among
159
met
subject
criteria,
31.4%
Statistically
significant
differences
observed
between
group
in
terms
sex,
body
mass
(BMI),
smoking
status,
lipid
levels
(all
p<0.05).
results
indicated
that
both
duration
non-rapid
eye
movement
stage
3
(N3)
percentage
N3
relative
total
time
(N3/TST)
markedly
lower
than
statistically
difference
(p<0.01).
groups
awakenings,
arousal
(ArI),
mean
oxygen
saturation,
saturation
nadir,
desaturation
p<0.01).
Multiple
logistic
regression
advanced
age
(odds
ratio
[OR]=1.034,
95%
confidence
interval
[CI]:
1.004-1.065,
p=0.024),
female
sex
(OR=0.378,
CI:
0.171-0.837,
p=0.016),
low-density
lipoprotein
cholesterol
(LDL-C)
(OR=1.946,
1.026-3.692,
p=0.041),
BMI≥25.0
kg/m²
(OR=3.434,
1.411-8.360,
p=0.007)
depression.
prevalent
Risk
male
advancing
age,
kg/m²,
elevated
LDL-C
levels.
Language: Английский
Risk of Major Depression Associated with Excessive Daytime Sleepiness in Apneic Individuals
Matteo Conenna,
No information about this author
Camille Point,
No information about this author
Benjamin Wacquier
No information about this author
et al.
Clocks & Sleep,
Journal Year:
2025,
Volume and Issue:
7(2), P. 22 - 22
Published: April 30, 2025
Considering
the
frequent
co-occurrence
of
major
depressive
disorder
and
excessive
daytime
sleepiness
in
apneic
individuals,
this
study
aimed
to
explore
relationship
between
risk
developing
specific
subpopulation.
Demographic
polysomnographic
data
were
retrospectively
extracted
from
clinical
database
1849
individuals
at
Sleep
Unit.
Excessive
was
considered
present
when
Epworth
Sleepiness
Scale
score
>10
episodes
diagnosed
according
DSM
criteria.
Logistic
regression
analyses
performed
assess
associated
with
individuals.
The
prevalence
26.3%
After
controlling
for
confounding
variables,
multivariate
logistic
revealed
that
complaints
had
a
higher
likelihood
compared
those
without
complaint
sleepiness.
This
highlights
strong
association
underlining
importance
systematically
assessing
adequately
treating
better
manage
symptoms
improve
overall
treatment
outcomes
Language: Английский
Adenotonsillectomy reduces obstructive sleep apnea and improves sleep quality in adult patients
Journal of Oral and Maxillofacial Surgery,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Language: Английский
Screening major depressive disorder in patients with obstructive sleep apnea using single-lead ECG recording during sleep
Health Informatics Journal,
Journal Year:
2024,
Volume and Issue:
30(4)
Published: Oct. 1, 2024
Objective:
A
large
number
of
people
with
obstructive
sleep
apnea
(OSA)
also
suffer
from
major
depressive
disorder
(MDD),
leading
to
underdiagnosis
due
overlapping
symptoms.
Polysomnography
has
been
considered
identify
MDD.
However,
limited
access
clinics
makes
this
challenging.
In
study,
we
propose
a
model
detect
MDD
in
OSA
using
an
electrocardiogram
(ECG)
during
sleep.
Methods:
The
single-lead
ECG
data
32
(OSAD-)
and
23
(OSAD+)
were
investigated.
first
60
min
their
recordings
after
segmented
into
30-s
segments
13
parameters
extracted:
PR,
QT,
ST,
QRS,
PP,
RR;
mean
heart
rate;
two
time-domain
HRV
parameters:
SDNN,
RMSSD;
four
frequency
rate
variability
LF_power,
HF_power,
total
power,
the
ratio
LF_power/HF_power.
standard
deviation
these
input
support
vector
machine
which
was
trained
separate
OSAD-
OSAD+.
Results:
proposed
distinguished
between
OSAD+
groups
accuracy
78.18%,
sensitivity
73.91%,
specificity
81.25%,
precision
73.91%.
Conclusion:
This
study
shows
potential
only
for
detecting
depression
patients.
Language: Английский