Global Spine Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 29, 2025
Study
Design
Observational
Retrospective
Cohort
Study.
Objectives
To
compare
the
discriminatory
abilities
of
Revised
Risk
Analysis
Index
(RAI-Rev)
and
5-Factor
Modified
Frailty
(mFI-5)
to
predict
major
postoperative
outcomes
in
DCM
patients
overall,
by
anterior
(ADF)
or
posterior
(PDF)
approaches
for
decompression
fusion.
Methods
The
American
College
Surgeons
National
Surgical
Quality
Improvement
Program
(ACS-NSQIP)
database
was
queried
undergoing
ADF
PDF
from
2015-2020.
Logistic
regression
Receiver
Operating
Characteristic
analysis
were
used
predictive
value
mFI-5
RAI-Rev
30-day
outcomes.
Results
18,138
included
(median
age:
61
years).
Both
predicted
outcomes;
however,
increasing
frailty
as
measured
demonstrated
greater
odds
ratios.
RAI-rev
superior
discrimination
non-fatal
adverse
outcomes,
notably
non-home
discharge
(NHD)
[C-statistic
0.72
(95%
CI
0.71-0.73,
P
<
0.001)],
all
measures
except
complications
(
0.05).
Sub-analysis
approach
showed
had
accuracy
compared
PDF.
Conclusions
predicting
following
when
mFI-5,
with
equivalent
mortality
prediction.
Further,
plays
a
stronger
role
morbidity
frailty’s
impact
on
This
finding
demonstrates
utility
preoperative
risk
stratification
an
increasingly
frail
patient
population
provides
initial
evidence
selecting
increases.
The Lancet,
Journal Year:
2025,
Volume and Issue:
405(10481), P. 813 - 838
Published: March 1, 2025
Overweight
and
obesity
is
a
global
epidemic.
Forecasting
future
trajectories
of
the
epidemic
crucial
for
providing
an
evidence
base
policy
change.
In
this
study,
we
examine
historical
trends
global,
regional,
national
prevalence
adult
overweight
from
1990
to
2021
forecast
2050.
Leveraging
established
methodology
Global
Burden
Diseases,
Injuries,
Risk
Factors
Study,
estimated
among
individuals
aged
25
years
older
by
age
sex
204
countries
territories
Retrospective
current
were
derived
based
on
both
self-reported
measured
anthropometric
data
extracted
1350
unique
sources,
which
include
survey
microdata
reports,
as
well
published
literature.
Specific
adjustment
was
applied
correct
self-report
bias.
Spatiotemporal
Gaussian
process
regression
models
used
synthesise
data,
leveraging
spatial
temporal
correlation
in
epidemiological
trends,
optimise
comparability
results
across
time
geographies.
To
generate
estimates,
forecasts
Socio-demographic
Index
patterns
presented
annualised
rate
change
inform
trajectories.
We
considered
reference
scenario
assuming
continuation
trends.
Rates
increased
at
regional
levels,
all
nations,
between
2021.
2021,
1·00
billion
(95%
uncertainty
interval
[UI]
0·989-1·01)
males
1·11
(1·10-1·12)
females
had
obesity.
China
largest
population
adults
with
(402
million
[397-407]
individuals),
followed
India
(180
[167-194])
USA
(172
[169-174]).
The
highest
age-standardised
observed
Oceania
north
Africa
Middle
East,
many
these
reporting
more
than
80%
adults.
Compared
1990,
155·1%
(149·8-160·3)
104·9%
UI
100·9-108·8)
females.
most
rapid
rise
East
super-region,
where
rates
tripled
doubled.
Assuming
2050,
that
total
number
living
will
reach
3·80
3·39-4·04),
over
half
likely
time.
While
China,
India,
continue
constitute
large
proportion
obesity,
sub-Saharan
super-region
forecasted
increase
254·8%
(234·4-269·5).
Nigeria
specifically,
141
(121-162)
making
it
country
fourth-largest
No
date
has
successfully
curbed
rising
Without
immediate
effective
intervention,
globally.
Particularly
Asia
Africa,
driven
growing
populations,
substantially.
These
regions
face
considerable
obesity-related
disease
burden.
Merely
acknowledging
health
issue
would
be
negligent
part
public
practitioners;
aggressive
targeted
measures
are
required
address
crisis,
one
foremost
avertible
risks
now
poses
unparalleled
threat
premature
death
local,
national,
levels.
Bill
&
Melinda
Gates
Foundation.
Drug Discovery Today,
Journal Year:
2024,
Volume and Issue:
29(9), P. 104112 - 104112
Published: July 23, 2024
The
pharmaceutical
industry
is
undergoing
a
sweeping
transformation,
driven
by
technological
innovations,
demographic
shifts,
regulatory
changes
and
consumer
expectations.
For
adaptive
players
in
pharma
to
excel
this
rapidly
changing
landscape,
which
will
be
markedly
different
from
today
2030
beyond,
they
require
set
of
skills,
capabilities
mindsets,
as
well
willingness
collaborate
co-create
value
with
multiple
stakeholders.
needs
rewrite
the
textbook
for
embracing
implementing
four
key
dimensions
change:
digitalization,
personalization,
collaboration
innovation.
In
article,
we
examine
how
these
change
are
reshaping
industry,
provide
practical
strategic
guidance
based
on
best
practices
examples.
Specifically,
companies
should
embrace
use
advanced
digital
technologies,
such
artificial
intelligence
machine
learning,
streamline
processes
solve
challenges
rapidly.
Personalization,
both
medicine
patient
engagement,
also
success
'digital
revolution',
collaborative
approach
involving
partnerships
tech
start-ups,
health-care
providers
bodies
essential
create
an
integrated
responsive
ecosystem.
Using
ideas
rewritten
pharma,
evolve
personalized
digitized
health-focused
organizations
that
comprehensive
solutions
go
beyond
drugs
devices.
Experimental Gerontology,
Journal Year:
2024,
Volume and Issue:
198, P. 112619 - 112619
Published: Oct. 29, 2024
Aging
is
a
dynamic
process
that
requires
continuous
response
and
adaptation
to
internal
external
stimuli
over
the
life
course.
This
eventually
results
in
people
aging
differently
women
than
men.
The
"gender
paradox"
describes
how
experience
greater
longevity
men,
although
linked
with
higher
rates
of
disability
poor
health
status.
Recently,
concept
frailty
has
been
incorporated
into
this
paradox
giving
rise
"sex-frailty
which
are
frailer
because
they
manifest
worse
status
but,
at
same
time,
appear
less
susceptible
death
men
age.
However,
very
little
known
about
biological
roots
sex-related
difference
frailty.
Inflamm-aging,
chronic
low-grade
inflammatory
state
associated
age,
plays
key
pathophysiological
role
several
age-related
diseases/conditions,
including
Alzheimer's
disease
(AD),
for
have
lifetime
risk
Interestingly,
inflamm-aging
develops
different
rate
compared
features
could
play
critical
development
AD
women.
According
view,
continuum
between
diseases
probably
lacks
clear
boundaries
can
be
envisioned
shared
mechanisms
progress
pace
may
lead
trajectories
It
therefore
becomes
urgent
consider
holistic
approach
study
aging,
declining
it
from
gender
medicine
perspective
also
sex-frailty
paradox.
AJP Endocrinology and Metabolism,
Journal Year:
2025,
Volume and Issue:
328(2), P. E186 - E197
Published: Jan. 7, 2025
The
recovery
from
muscle
atrophy
is
impaired
with
aging
as
characterized
by
improper
remodeling
and
sustained
functional
deficits.
Age-related
deficits
in
regrowth
are
tightly
linked
the
loss
of
early
pro-inflammatory
macrophage
responses
subsequent
cellular
dysregulation
within
skeletal
niche.
Macrophage
inflammatory
phenotype
regulated
at
metabolic
level,
highlighting
immunometabolism
an
emerging
strategy
to
enhance
restore
regrowth.
Accordingly,
targets
emphasis
on
glycolytic,
hypoxia,
redox-related
pathways
stand
out
for
their
role
promoting
inflammation
enhancing
aging.
Here
we
highlight
promising
immuno-metabolic
that
could
be
leveraged
optimal
function
following
muscular
atrophy.
Journal of the American College of Emergency Physicians Open,
Journal Year:
2025,
Volume and Issue:
6(1), P. 100031 - 100031
Published: Jan. 13, 2025
Clinical
documentation
in
the
United
States
has
grown
longer
and
more
difficult
to
read,
a
phenomenon
described
as
"note
bloat."
This
issue
is
especially
pronounced
emergency
medicine,
where
high
diagnostic
uncertainty
brief
evaluations
demand
focused,
efficient
chart
review
inform
decision-making.
Note
bloat
arises
from
multiple
factors:
efforts
enhance
billing,
mitigate
malpractice
risk,
leverage
electronic
health
record
tools
that
improve
speed
completeness.
We
discuss
best
practices
based
on
available
evidence
expert
opinion
note
clarity
concision.
Recent
E/M
coding
reforms
aim
streamline
by
prioritizing
medical
decision-making
over
details
of
historical
physical
examination,
though
implementation
varies.
New
technologies
such
generative
artificial
intelligence
present
opportunities
challenges
for
practices.
Addressing
will
require
ongoing
effort
clinical
leadership,
vendors,
professional
organizations.
Frontiers in Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
7
Published: Jan. 14, 2025
Introduction
Generating
physician
letters
is
a
time-consuming
task
in
daily
clinical
practice.
Methods
This
study
investigates
local
fine-tuning
of
large
language
models
(LLMs),
specifically
LLaMA
models,
for
letter
generation
privacy-preserving
manner
within
the
field
radiation
oncology.
Results
Our
findings
demonstrate
that
base
without
fine-tuning,
are
inadequate
effectively
generating
letters.
The
QLoRA
algorithm
provides
an
efficient
method
intra-institutional
LLMs
with
limited
computational
resources
(i.e.,
single
48
GB
GPU
workstation
hospital).
fine-tuned
LLM
successfully
learns
oncology-specific
information
and
generates
institution-specific
style.
ROUGE
scores
generated
summary
reports
highlight
superiority
8B
LLaMA-3
model
over
13B
LLaMA-2
model.
Further
multidimensional
evaluations
10
cases
reveal
that,
although
has
capacity
to
generate
content
beyond
provided
input
data,
it
salutations,
diagnoses
treatment
histories,
recommendations
further
treatment,
planned
schedules.
Overall,
benefit
was
rated
highly
by
experts
(average
score
3.4
on
4-point
scale).
Discussion
With
careful
review
correction,
automated
LLM-based
significant
practical
value.