International Journal of Infectious Diseases,
Journal Year:
2022,
Volume and Issue:
122, P. 802 - 810
Published: July 22, 2022
ABSTRACT
Objectives
This
study
used
the
long-short-term
memory
(LSTM)
artificial
intelligence
method
to
model
multiple
time
points
of
clinical
laboratory
data,
along
with
demographics
and
comorbidities,
predict
hospital-acquired
acute
kidney
injury
(AKI)
onset
in
patients
COVID-19.
Methods
Montefiore
Health
System
data
consisted
1982
AKI
2857
non-AKI
(NAKI)
hospitalized
COVID-19,
Stony
Brook
Hospital
validation
308
721
NAKI
Demographic,
longitudinal
(3
days
before
onset)
tests
were
analyzed.
LSTM
was
fivefold
cross-validation
(80%/20%
for
training/validation).
Results
The
top
predictors
glomerular
filtration
rate,
lactate
dehydrogenase,
alanine
aminotransferase,
aspartate
C-reactive
protein.
Longitudinal
yielded
marked
improvement
prediction
accuracy
over
individual
points.
inclusion
comorbidities
further
improves
accuracy.
best
an
area
under
curve,
accuracy,
sensitivity,
specificity
be
0.965
±
0.003,
89.57
1.64%,
0.95
0.03,
0.84
0.05,
respectively,
dataset,
0.86
0.01,
83.66
2.53%,
0.66
0.10,
0.89
dataset.
Conclusion
accurately
predicted
approach
could
help
heighten
awareness
complications
identify
early
interventions
prevent
long-term
renal
complications.
Hypertension,
Journal Year:
2023,
Volume and Issue:
80(10), P. 2135 - 2148
Published: Aug. 21, 2023
SARS-CoV-2
may
trigger
new-onset
persistent
hypertension.
This
study
investigated
the
incidence
and
risk
factors
associated
with
hypertension
during
COVID-19
hospitalization
at
≈6-month
follow-up
compared
influenza.This
retrospective
observational
was
conducted
in
a
major
academic
health
system
New
York
City.
Participants
included
45
398
patients
(March
2020
to
August
2022)
13
864
influenza
(January
2018
without
history
of
hypertension.At
6-month
follow-up,
seen
20.6%
hospitalized
10.85%
nonhospitalized
COVID-19.
Persistent
among
did
not
vary
across
pandemic,
whereas
that
decreased
from
20%
March
≈10%
October
(R2=0.79,
P=0.003)
then
plateaued
thereafter.
Hospitalized
were
2.23
([95%
CI,
1.48-3.54];
P<0.001)
times
1.52
1.22-1.90];
P<0.01)
more
likely
develop
than
counterparts.
common
older
adults,
males,
Black,
preexisting
comorbidities
(chronic
obstructive
pulmonary
disease,
coronary
artery
chronic
kidney
disease),
those
who
treated
pressor
corticosteroid
medications.
Mathematical
models
predicted
79%
86%
accuracy.
In
addition,
21.0%
no
prior
developed
hospitalization.Incidence
is
higher
influenza,
constituting
burden
given
sheer
number
Screening
at-risk
for
following
illness
be
warranted.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 19, 2025
Abstract
We
investigated
the
long-term
kidney
and
cardiovascular
outcomes
of
patients
with
chronic
disease
(CKD)
after
COVID-19.
Our
retrospective
cohort
consisted
834
CKD
COVID-19
6,167
without
between
3/11/2020
to
7/1/2023.
Multivariate
competing
risk
regression
models
were
used
estimate
(as
adjusted
hazard
ratios
(aHR)
95%
confidence
intervals
(CI))
progression
a
more
advanced
stage
(Stage
4
or
5)
major
adverse
events
(MAKE),
(MACE)
at
6-,
12-,
24-month
follow
up.
Hospitalized
12
24
months
(aHR
1.62
CI[1.24,2.13]
1.76
[1.30,
2.40],
respectively),
but
not
non-hospitalized
patients,
higher
compared
those
Both
hospitalized
MAKE
12-
24-months
1.73
[1.21,
2.50],
1.77
[1.34,
2.33],
1.31
[1.05,
1.64],
MACE
increases
in
CKD.
These
findings
highlight
need
for
close
up
care
therapies
that
slow
this
high-risk
subgroup.
EBioMedicine,
Journal Year:
2022,
Volume and Issue:
76, P. 103821 - 103821
Published: Feb. 1, 2022
Although
acute
cardiac
injury
(ACI)
is
a
known
COVID-19
complication,
whether
ACI
acquired
during
recovers
unknown.
This
study
investigated
the
incidence
of
persistent
and
identified
clinical
predictors
recovery
in
hospitalized
patients
with
2.5
months
post-discharge.
Nephrology Dialysis Transplantation,
Journal Year:
2023,
Volume and Issue:
38(10), P. 2160 - 2169
Published: Jan. 24, 2023
Although
coronavirus
disease
2019
(COVID-19)
patients
who
develop
in-hospital
acute
kidney
injury
(AKI)
have
worse
short-term
outcomes,
their
long-term
outcomes
not
been
fully
characterized.
We
investigated
90-day
and
1-year
after
hospital
AKI
grouped
by
time
to
recovery
from
AKI.This
study
consisted
of
3296
COVID-19
with
stratified
early
(<48
hours),
delayed
(2-7
days)
prolonged
(>7-90
days).
Demographics,
comorbidities
laboratory
values
were
obtained
at
admission
up
the
follow-up.
The
incidence
major
adverse
cardiovascular
events
(MACE)
(MAKE),
rehospitalization,
recurrent
new-onset
chronic
(CKD)
90-days
discharge.The
was
28.6%.
Of
AKI,
58.0%
experienced
recovery,
14.8%
27.1%
recovery.
Patients
a
longer
had
higher
prevalence
CKD
(P
<
.05)
more
likely
need
invasive
mechanical
ventilation
.001)
die
.001).
Many
developed
MAKE,
within
90
days,
these
incidences
in
group
.05).
MACE
peaked
20-40
days
postdischarge,
whereas
MAKE
80-90
postdischarge.
Logistic
regression
models
predicted
82.4
±
1.6%
79.6
2.3%
accuracy,
respectively.COVID-19
survivors
are
high
risk
for
especially
those
times
history
CKD.
These
may
require
follow-up
cardiac
complications.
Frontiers in Cardiovascular Medicine,
Journal Year:
2022,
Volume and Issue:
8
Published: Feb. 15, 2022
This
study
investigated
the
incidence,
disease
course,
risk
factors,
and
mortality
in
COVID-19
patients
who
developed
both
acute
kidney
injury
(AKI)
cardiac
(ACI),
compared
to
those
with
AKI
only,
ACI
no
(NI).This
retrospective
consisted
of
hospitalized
at
Montefiore
Health
System
Bronx,
New
York
between
March
11,
2020
January
29,
2021.
Demographics,
comorbidities,
vitals,
laboratory
tests
were
collected
during
hospitalization.
Predictive
models
used
predict
AKI,
ACI,
AKI-ACI
onset.
Longitudinal
analyzed
time-lock
discharge
alive
or
death.Of
5,896
patients,
44,
19,
9,
28%
had
NI,
AKI-ACI,
respectively.
Most
presented
very
early
(within
a
day
two)
hospitalization
contrast
(p
<
0.05).
Patients
combined
significantly
older,
more
often
men
higher
levels
cardiac,
kidney,
liver,
inflammatory,
immunological
markers
NI
groups.
The
adjusted
hospital-mortality
odds
ratios
17.1
[95%
CI
=
13.6-21.7,
p
0.001],
7.2
5.4-9.6,
4.7
3.7-6.1,
0.001]
for
respectively,
relative
NI.
A
predictive
model
onset
using
top
predictors
yielded
97%
accuracy.
data
predicted
up
5
days
prior
outcome,
an
area-under-the-curve,
ranging
from
0.68
0.89.COVID-19
markedly
worse
outcomes
only
Common
variables
accurately
AKI-ACI.
ability
identify
could
lead
earlier
intervention
improvement
clinical
outcomes.