IEEE Transactions on Pattern Analysis and Machine Intelligence,
Journal Year:
2023,
Volume and Issue:
46(4), P. 2316 - 2332
Published: Nov. 7, 2023
Tuberculosis
(TB)
is
a
major
global
health
threat,
causing
millions
of
deaths
annually.
Although
early
diagnosis
and
treatment
can
greatly
improve
the
chances
survival,
it
remains
challenge,
especially
in
developing
countries.
Recently,
computer-aided
tuberculosis
(CTD)
using
deep
learning
has
shown
promise,
but
progress
hindered
by
limited
training
data.
To
address
this,
we
establish
large-scale
dataset,
namely
X-ray
(TBX11
K)
which
contains
11
200
chest
(CXR)
images
with
corresponding
bounding
box
annotations
for
TB
areas.
This
dataset
enables
sophisticated
detectors
high-quality
CTD.
Furthermore,
propose
strong
baseline,
SymFormer,
simultaneous
CXR
image
classification
infection
area
detection.
SymFormer
incorporates
Symmetric
Search
Attention
(SymAttention)
to
tackle
bilateral
symmetry
property
discriminative
features.
Since
may
not
strictly
adhere
property,
also
Positional
Encoding
(SPE)
facilitate
SymAttention
through
feature
recalibration.
promote
future
research
on
CTD,
build
benchmark
introducing
evaluation
metrics,
evaluating
baseline
models
reformed
from
existing
detectors,
running
an
online
challenge.
Experiments
show
that
achieves
state-of-the-art
performance
TBX11
K
dataset.
BMC Public Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Feb. 17, 2025
Tuberculosis
remains
a
major
public
health
challenge
worldwide.
This
study
aimed
to
determine
the
long-term
trends
in
notification
rate
of
tuberculosis
Zhejiang
Province,
and
assess
potential
independent
risks
associated
with
age,
time
period,
birth
cohort.
Data
on
all
pulmonary
(PTB)
cases
Province
from
2008
2022
were
collected
Information
Management
System.
Long-term
quantitatively
decomposed
variables
determined
using
joinpoint
regression
model
age-period-cohort
model.
Between
2022,
total
323,745
PTB
notified
Province.
Overall,
declined,
notable
turning
points
2010
2019.
Net
drift
analysis
revealed
an
average
annual
decrease
5.7%
(95%
CI:
-6.8%,
-4.6%;
P
<
0.01),
faster
declines
among
males
than
females.
Age
effects
showed
peaks
rates
people
aged
15–29
65–74.
Period
peaked
during
2008–2012
(RR
=
1.4;
95%
1.3,
1.5;
0.01).
Cohort
indicated
decreasing
later
cohorts,
highest
risk
observed
1928–1932
cohort
11.0,
7.2,
16.8;
0.01)
relative
protective
cohorts
born
after
1978–1982.
Notification
declined
consistently
across
various
age
groups
Young
individuals
older
65–74
identified
as
high-risk
requiring
active
intervention.
Additionally,
pre-1978
had
relatively
higher
PTB.
These
findings
provided
valuable
insights
into
characteristics
patients
aiding
relevant
authorities
formulating
appropriate
policies
implementing
targeted
preventive
control
measures.
BMC Public Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 3, 2025
Based
on
the
present
global
burden
of
oral
diseases,
unmet
dental
needs
affect
a
more
significant
population
worldwide.
It
is
characterized
by
need
for
care
but
receiving
delayed
or
no
care.
Contributing
factors
include
lack
knowledge
about
health,
its
consequences,
and
availability
services.
We
to
find
out
scale
problem
Chinese
male
adults.
Therefore,
aim
was
determine
relationship
between
presence
conditions
quality
life-related
health.
A
total
46,439
adults
were
recruited
study
August
2022
October
2023.
The
questionnaire
administered
using
standard
procedures.
This
sought
gather
various
types
information,
including
basic
demographic
details,
health
status,
specific
needs.
To
gain
insight
into
frequency
in
our
population,
thorough
clinical
examination
performed.
For
data
interpretation
evaluation,
descriptive
statistics
Chi
square
tests
utilized,
with
level
5%.
results
indicated
that
one
most
prevalent
surface
calculus,
which
noted
22,263
(47.94%)
participants.
rate
bleeding
gums
6289
(13.54%),
range
diseases
such
as
ulcer
(1488;
3.2%),
trauma
(1342;
2.89%),
gingivitis
(814;
1.75%),
pericoronitis
(786;
1.69%),
cheilitis
(527;
1.13%).
reported
22.41%
prevalence
caries,
an
additional
15.59%
participants
having
untreated
caries.
portion
(54.62%)
expressed
strong
healthcare
treatment,
79.11%
self-reporting
their
regular
checkups.
Furthermore,
81.09%
desire
receive
guidance.
Approximately
one-fourth
had
revealing
age,
occupation
location
influenced
Most
checkups,
support,
stressing
importance
accessibility
By
specifically
targeting
age
groups
addressing
common
conditions,
can
be
enhanced.
Planning
strategies
should
consider
maximize
impact.
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: March 13, 2025
Objective
The
study
aimed
to
describe
the
trend
of
chronic
hepatitis
B
among
population
in
Chaoyang
District
from
2005
2022
and
explore
effects
age,
period,
cohort
factors
on
incidence
risk.
Methods
Incidence
rates
were
collected
national
infectious
disease
reporting
information
management
system.
Descriptive
epidemiological
methods
employed
characterize
2022.
Trends
analyzed
using
an
age-period-cohort
model.
estimated
Intrinsic
Estimator
operator.
Model
goodness
fit
was
assessed
by
introducing
variance,
AIC,
BIC,
comparing
established
model
with
conventional
two-factor
models.
Results
From
2022,
reported
showed
a
gradual
decrease
followed
stabilization,
declining
49.58/100,000
8.58/100,000
overall,
63.36/100,000
11.69/100,000
males,
35.15/100,000
5.55/100,000
females.
age
effect
coefficient
for
males
increased
initially
then
decreased
whereas
females,
it
age.
period
risk
both
genders
over
time.
exhibited
pattern
decrease,
increase,
generally
decreased.
APC
constructed
intrinsic
estimator
demonstrated
best
fit,
as
indicated
lower
BIC
compared
Conclusion
declined
stabilizing
after
2013.
We
found
distinct
incidence,
higher
risks
observed
aged
25–29
75–79,
females
born
1966–1970.
These
findings
highlight
importance
targeted
surveillance,
expanded
screening,
improved
diagnosis
treatment
reduce
long-term
burden.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 20, 2025
Pulmonary
infections
remain
a
leading
cause
of
infectious
disease-related
hospitalizations.
Metagenomic
next-generation
sequencing
(mNGS)
has
emerged
as
promising
diagnostic
tool
for
identifying
pathogens
responsible
pulmonary
infections.
However,
implementing
mNGS
in
clinical
practice
presents
several
challenges.
We
conducted
retrospective
analysis
97
patients
with
suspected
who
were
admitted
to
our
hospital
and
underwent
alongside
conventional
microbiologic
tests
(CMT)
over
the
past
three
years.
compared
efficacy
versus
CMT
assessed
applications
challenges
associated
managing
detected
63.9%
cases,
outperforming
(27.8%)
showing
notable
improvements
Mycobacterium,
fungal
species,
rare
pathogens.
Antibiotic
regimens
adjusted
77.4%
positive
results,
improvement
observed
93.5%.
Of
138
microbial
strains
initially
identified
by
possible
pathogens,
65
(47.1%)
reclassified
colonizing
organisms
upon
further
evaluation,
including
bacteria
fungi
commonly
Notably,
one
patient
was
diagnosed
aspiration
pneumonia
due
oral
anaerobes,
which
had
categorized
normal
flora.
In
conclusion,
serves
valuable
approach
infections,
enhancing
etiologic
precision
informing
management.
Nevertheless,
comprehensive
interpretation
mNGS-identified
microorganisms
is
essential
achieve
accurate
diagnosis.
Scientific Data,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: March 29, 2025
The
increasing
global
incidence
of
nontuberculous
mycobacterial
(NTM)
pulmonary
disease
highlights
the
need
for
rapid
diagnostic
methods
to
guide
timely
treatment
and
prevent
antibiotic
misuse.
While
bacterial
culture
remains
gold
standard
diagnosis,
its
extended
turnaround
time
compromises
clinical
decision-making.
Computed
tomography
(CT),
with
high
sensitivity
lung
lesions
imaging
capabilities,
has
emerged
as
a
critical
tool.
AI-assisted
CT
interpretation
shows
particular
promise
improving
NTM
detection,
yet
progress
been
hindered
by
limited
datasets
due
rarity.
We
address
this
gap
introducing
first
comprehensive
dataset
combining
430
871
tuberculosis
cases,
supplemented
parameters
including
demographics,
symptoms,
species
data.
This
resource
aims
catalyze
AI
algorithm
development
differential
ultimately
enhancing
precision
in
management
through
advanced
machine
learning
applications.
BMJ Global Health,
Journal Year:
2025,
Volume and Issue:
10(4), P. e017187 - e017187
Published: April 1, 2025
Introduction
Previous
evidence
lacked
a
thorough
review
of
the
disparities
autoimmune
diseases
(AD)
burdens
among
countries
and
regions,
which
led
to
an
insufficient
basis
for
developing
country-specific
developmental
level
relevant
preventive
measures.
This
study
aimed
analyse
trends
global,
regional
national
burden
common
ADs
in
children
adolescents
from
1990
2019
investigate
associations
between
specific
varied
country
indexes.
Methods
All
data
four
major
were
obtained
Global
Burden
Diseases
Study
2019.
Age
period-cohort
modelling
was
conducted
disentangle
age,
period
birth
cohort
effects
on
AD
incidence
Local
regression
smoothing
models
used
fit
correlation
sociodemographic
index
(SDI).
Pearson’s
country-level
risk
factors
disease
burden.
Results
A
global
increase
observed
1.57
million
1.63
0–24
age
group.
The
age-standardised
rate
overall
showed
substantial
variation
with
highest
high
SDI
regions.
distributions
significantly,
especially
countries.
Relative
expected
associated
SDI,
distribution
by
regions
depending
ADs.
Countries
higher
levels
socioeconomic
development,
better
quality
life
easier
access
healthcare
system
lower
Conclusions
patterns
considerably
according
time
generational
cohort,
across
world
Incidences
significantly
correlated
indexes
involving
risks
environment,
human
rights
health
safety
life.
Cancer Innovation,
Journal Year:
2025,
Volume and Issue:
4(3)
Published: April 7, 2025
ABSTRACT
Background
Tuberculosis
(TB)
and
lung
cancer
(LC)
are
both
major
global
health
threats.
However,
coexistent
pulmonary
TB
LC
(TBLC)
is
a
unique
condition
for
which
incidence
trends
risk
factors
have
not
been
fully
defined.
Methods
We
retrospectively
reviewed
the
medical
records
of
patients
with
TBLC
alone
between
2010
2022
at
Beijing
Chest
Hospital,
standard
authority
diagnosis
treatment
in
China.
The
cumulative
rate
(CIR)
was
calculated
as
number
new
cases/number
cases
per
100,000
annually.
comparative
ratio
(IRR)
estimated
to
be
patients/TB
general
population.
Logistic
regression
used
explore
TBLC.
Results
CIR
has
rapidly
increased
each
year
since
2014
reached
7027
2022.
Patients
had
higher
developing
active
than
population
(IRR
=
25.21,
95%
confidence
interval
[CI]:
21.54–29.89).
Medical
expenditure
patient
100.60
thousand
yuan
those
105.60
(
p
0.687).
were
older
(63.61
±
10.46
vs.
61.08
10.77,
<
0.001)
male‐to‐female
(2.82
1.59,
0.044)
alone.
A
tendency
earlier
disease
onset
observed
rather
majority
(44.92%)
lesions
located
upper
lobes
proportion
squamous
cell
carcinomas
(32.24%
27.49%,
0.002).
also
presented
more
aggressively,
lymph
node
involvement
distant
metastases.
Multivariate
analysis
revealed
that
age,
male
sex,
mediastinal
invasion,
lung/bone
metastases,
anemia,
hypoalbuminemia,
malnutrition,
fibrosis,
chronic
obstructive
Conclusions
There
rise
concomitant
increase
its
financial
burden
China
deserves
awareness
attention.
Infectious Diseases of Poverty,
Journal Year:
2025,
Volume and Issue:
14(1)
Published: April 25, 2025
Abstract
Background
Most
high
tuberculosis
(TB)
burden
countries
are
in
low-
and
middle-income
regions
undergoing
rapid
urbanization.
We
aimed
to
assess
the
association
between
urbanization
factors
TB
incidence
China.
Methods
evaluated
at
county
level
China
from
2005
2019
using
a
composite
index
integrating
population
density,
gross
domestic
product
(GDP,
per
capita),
hospital
beds
1000
population,
nighttime
light
(NTL),
normalized
difference
vegetation
(NDVI).
The
annual
rate
number
of
cases
were
obtained
national
Tuberculosis
Information
Management
System,
maintained
by
Chinese
Center
for
Disease
Control
Prevention.
Fixed-effects
models
used
examine
incidence.
A
subgroup
analysis
was
performed
dividing
counties
into
four
regions:
northeast,
eastern,
central,
western.
Results
total
1992
included
this
study.
Overall,
scores
associated
with
reduced
(β
=
−
0.0114,
P
<
0.001),
corresponding
1.1%
reduction
unit
score.
Quadratic
presented
U-shaped
relationship
an
inflection
point
52.94
units.
For
each
indicator
urbanization,
density
positively
incidence,
ratios
11.384
[95%
confidence
interval
(
CI
):
9.337
13.881],
1.015
(95%
:
1.011
1.019),
respectively,
while
GDP,
NTL,
NDVI
exhibited
protective
effects.
Central
displayed
increase
trend
that
score
linked
1.8%
rise
Conclusions
Urbanization-related
factors,
including
NTL
NDVI,
inversely
China’s
contrasting
results
highlighted
region-specific
challenges.
Therefore,
governments
developing
should
adopt
integrated
approaches
promote
both
economic
growth
sustainable
development
environment
during
optimize
control
efforts.
Graphical
abstract
Journal of Global Antimicrobial Resistance,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 1, 2025
This
study
aimed
to
develop
and
validate
a
predictive
model
based
on
multimodal
data,
including
clinical
features,
radiomics
deep
learning
distinguish
multidrug-resistant
tuberculosis
(MDR-TB)
in
HIV/AIDS
patients,
thereby
improving
diagnostic
accuracy.
A
retrospective
cohort
of
patients
with
drug-sensitive
(n=164)
MDR-TB
(n=63)
admitted
the
Fourth
People's
Hospital
Nanning
between
January
2016
July
2024
was
included.
The
dataset
randomly
divided
into
training
validation
sets
at
7:3
ratio.
constructed
by
integrating
model,
2.5D
multi-instance
(MIL)
approach.
Key
predictors-platelet
count
C-reactive
protein-were
identified
through
univariate
multivariate
logistic
regression
analysis.
integrated
achieved
highest
performance
both
set
(AUC=0.943
0.899,
respectively),
significantly
outperforming
individual
models.
Grad-CAM
effectively
localized
key
image
regions
influencing
decision-making,
while
nomogram
quantified
contribution
weights
each
predictor,
enhancing
transparency.
Hosmer-Lemeshow
(HL)
test
confirmed
good
calibration,
decision
curve
analysis
(DCA)
demonstrated
optimal
net
benefit
model.
developed
this
improved
efficacy
combining
clinical,
radiomics,
providing
reliable
tool
for
individualized
precision
diagnosis
treatment.