Epidemiology of heart failure in diabetes: a disease in disguise
Anna G. Hoek,
No information about this author
Elisa Dal Canto,
No information about this author
Eva Wenker
No information about this author
et al.
Diabetologia,
Journal Year:
2024,
Volume and Issue:
67(4), P. 574 - 601
Published: Feb. 9, 2024
Abstract
Left
ventricular
diastolic
dysfunction
(LVDD)
without
symptoms,
and
heart
failure
(HF)
with
preserved
ejection
fraction
(HFpEF)
represent
the
most
common
phenotypes
of
HF
in
individuals
type
2
diabetes
mellitus,
are
more
than
reduced
(HFrEF),
mildly
(HFmrEF)
left
systolic
(LVSD)
these
individuals.
However,
diagnostic
criteria
for
have
changed
over
years,
resulting
heterogeneity
prevalence/incidence
rates
reported
different
studies.
We
aimed
to
give
an
overview
diagnosis
epidemiology
diabetes,
using
both
a
narrative
systematic
review
approach;
we
focus
narratively
on
diagnosing
(using
2021
European
Society
Cardiology
[ESC]
guidelines)
screening
diabetes.
performed
updated
(2016–October
2022)
meta-analysis
studies
reporting
prevalence
incidence
subtypes
adults
≥18
years
echocardiographic
data.
Embase
MEDLINE
databases
were
searched
data
assessed
random-effects
meta-analyses,
findings
presented
as
forest
plots.
From
5015
found,
209
screened
full-text
article.
In
total,
57
included,
together
29
that
identified
prior
meta-analysis;
LVSD
(
n
=25
studies,
24,460
individuals),
LVDD
=65
25,729
HFrEF
=4
4090
HFmrEF
=2
2442
individuals)
and/or
HFpEF
=8
5292
=7
17,935
individuals).
Using
Hoy
et
al’s
risk-of-bias
tool,
found
included
generally
had
high
risk
bias.
They
showed
43%
(95%
CI
37%,
50%)
LVDD,
17%
7%,
35%)
HFpEF,
6%
3%,
10%)
LVSD,
7%
15%)
HFrEF,
12%
22%)
HFmrEF.
For
grade
I
was
be
prevalent.
Additionally,
higher
rate
(7%
[95%
4%,
11%])
4%
7%]).
The
evidence
is
limited
by
years.
section
this
provides
new
insights
unveiling
large
pre-clinical
target
group
LVDD/HFpEF
which
disease
progression
could
halted
early
recognition
treatment.
Registration
PROSPERO
ID
CRD42022368035.
Graphical
Language: Английский
Diabetic myocardial disorder. A clinical consensus statement of the Heart Failure Association of the ESC and the ESC Working Group on Myocardial & Pericardial Diseases
European Journal of Heart Failure,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 19, 2024
Language: Английский
Evaluation of Pro‐BNP biomarker in heart failure patients and its relationship with complete blood count parameters: A case–control study
Health Science Reports,
Journal Year:
2024,
Volume and Issue:
7(9)
Published: Sept. 1, 2024
Abstract
Background
and
aims
Heart
failure
(HF)
is
a
growing
global
health
concern.
N‐terminal
prohormone
of
brain
natriuretic
peptide
(NT‐pro‐BNP)
an
established
biomarker
for
ventricular
dysfunction
in
heart
(HF).
This
case–control
study
examined
the
relationship
between
(Pro‐BNP)
levels
complete
blood
count
(CBC)
parameters
HF
patients
healthy
controls,
exploring
utility
CBC
as
supplementary
diagnostic
tool
HF.
Methods
The
included
89
participants,
divided
into
42
with
diagnosed
(patient
group)
47
individuals
(control
group).
Pro‐BNP
were
measured
alongside
comprehensive
panel,
including
such
white
cell
count,
hemoglobin
levels,
platelet
count.
Demographic,
clinical
characteristics,
compared
two
groups,
statistical
analyses
performed
to
identify
any
significant
associations.
Results
analysis
demonstrated
that
had
significantly
higher
than
control
subjects,
indicating
strong
association
(1052.65
[196.56]
vs.
2500.34
[1105.90],
p
<
0.001).
Moreover,
differences
parameters,
count:
246.96
(82.72)
versus
206.45
(57.20),
=
0.009;
mean
corpuscular
volume
(MCV):
83.74
(5.86)
87.12
(4.60),
0.00;
red
distribution
width:
13.47
(1.29)
14.28
(1.35),
0.001)
observed,
patient
group
showing
altered
indicative
cardiac
stress
inflammation.
Correlation
further
notable
correlations
observed
MCV
(0.250,
0.020)
(0.246,
0.045).
These
findings
suggest
complex
interplay
underscoring
potential
auxiliary
markers
Conclusion
exhibits
relevance
diagnosing
cardiovascular
dysfunction,
elevated
distinct
hematological
profiles
patients.
Pro‐BNP's
predictive
capabilities
hematocrit
support
its
use
risk
assessment
treatment
decisions
Language: Английский
Independent and joint associations between the triglyceride-glucose index and NT-proBNP with the risk of adverse cardiovascular events in patients with diabetes and acute coronary syndrome: a prospective cohort study
Man Wang,
No information about this author
Li Zhou,
No information about this author
Wen Su
No information about this author
et al.
Cardiovascular Diabetology,
Journal Year:
2023,
Volume and Issue:
22(1)
Published: June 26, 2023
Abstract
Background
Elevated
triglyceride-glucose
(TyG)
index
and
N-terminal
pro-B-type
natriuretic
peptide
(NT-proBNP)
are
independently
associated
with
increased
risk
of
major
adverse
cardio-cerebral
events
(MACCEs)
in
diabetic
patients
the
acute
coronary
syndrome
(ACS),
but
have
not
been
evaluated
jointly.
We
sought
to
investigate
independent
joint
association
TyG
NT-proBNP
MACCEs
risk.
Methods
Data
from
5046
diabetes
ACS
were
recorded
Cardiovascular
Center
Beijing
Friendship
Hospital
Database
Bank
between
2013
2021,
including
measurements
fasting
triglycerides,
plasma
glucose,
NT-proBNP.
The
was
calculated
as
Ln
(fasting
triglycerides
[mg/dL]
×
glucose
[mg/dL]/2).
Associations
assessed
using
flexible
parametric
survival
models.
Results
During
13589.9
person-years
follow-up,
985
incident
(65.6
years
age
62.0%
men)
observed.
(HR:
1.18;
95%
CI
1.05‒1.32
per
1
unit
increase)
categories
1.95;
CI:
1.50‒2.54
for
>
729
pg/ml
compared
<
129
pg/ml)
fully
adjusted
model.
According
NT-proBNP,
9.336
at
highest
2.45;
1.64‒3.65)
than
ones
8.746
pg/ml.
test
interaction
significant
(
P
=
0.49).
Incorporating
these
two
biomarkers
into
established
clinical
model,
Global
Registry
Acute
Coronary
Events
(GRACE)
score,
resulted
a
improvement
stratification.
Conclusions
jointly
ACS,
suggesting
that
both
markers
elevated
should
be
aware
higher
future.
Language: Английский
Distribution characteristics and screening reference values of NT-proBNP in high cardiovascular risk population
Pingfeng Feng,
No information about this author
Junlong Qin,
No information about this author
Zhixin Chai
No information about this author
et al.
Nutrition Metabolism and Cardiovascular Diseases,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104029 - 104029
Published: April 1, 2025
Language: Английский
Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters
Jia Pu,
No information about this author
Yimin Yao,
No information about this author
Xiaochun Wang
No information about this author
et al.
Frontiers in Cardiovascular Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: March 17, 2025
Heart
failure
(HF),
a
core
component
of
cardiovascular
diseases,
is
characterized
by
high
morbidity
and
mortality
worldwide.
By
collecting
analyzing
routine
blood
data,
machine
learning
models
were
built
to
identify
the
patterns
changes
in
indicators
related
HF.
We
conducted
statistical
analysis
data
from
226
patients
who
visited
Zhejiang
Provincial
Hospital
Traditional
Chinese
Medicine
(Hubin)
between
May
1,
2024,
June
30,
2024.
The
divided
into
an
experimental
group
(HF
patients)
normal
control
group.
Additionally,
211
Qiantang
Xixi
centers
formed
independent
external
validation
cohort.
This
study
used
both
univariate
multivariate
analyses
risk
factors
associated
with
Variables
HF
selected
using
LASSO
regression
analysis.
In
addition,
eight
different
algorithms
applied
for
prediction,
prediction
performances
these
comprehensively
evaluated
receiver
operating
characteristic
curve,
area
under
curve
(AUC),
calibration
analysis,
decision
confusion
matrix.
Using
leukocyte,
neutrophil,
red
cell,
hemoglobin,
platelet,
monocyte-to-lymphocyte
ratios
identified
as
Among
models,
random
forest
model
exhibited
best
performance.
cohort,
(AUC)
was
0.948,
while
that
test
cohort
1.000.
revealed
good
agreement
actual
predicted
probabilities,
whereas
showed
significant
clinical
application
model.
AUC
0.945.
online
predictive
tool
develop
machine-learning
main
purpose
this
predict
probability
developing
future.
can
provide
strong
support
references
clinicians
when
making
decisions.
forecasting
not
only
processes
large
amount
but
also
continuously
optimizes
adjusts
accuracy
according
latest
medical
research
data.
hope
high-risk
early
intervention
reduce
incidence
improve
their
quality
life.
Language: Английский
Detecting heart stress using NT-proBNP in patients with type 2 diabetes mellitus and hypertension or high-normal blood pressure: a cross-sectional multicentric study
Cardiovascular Diabetology,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Aug. 12, 2024
Abstract
Background
We
evaluated
the
prevalence
of
“heart
stress”
(HS)
based
on
NT-proBNP
cut-points
proposed
by
2023
Consensus
Heart
Failure
Association
(HFA)
European
Society
Cardiology
(ESC)
in
asymptomatic
patients
with
T2DM
and
hypertension
or
high-normal
blood
pressure
(BP)
eligible
for
SGLT2
inhibitors
(SGLT2i)
and/or
GLP-1
receptor
agonists
(GLP1-RA),
drugs
proven
benefits
reducing
incidence
HF,
hospitalizations,
cardiovascular
events
mortality.
Methods
A
cross-sectional
multicentric
study
was
conducted
192
consecutive
outpatients,
aged
≥
55
years,
BP,
referred
to
three
diabetology
units.
collected
before
starting
new
anti-diabetic
therapy.
Patients
known
HF
were
excluded,
participants
classified
age-adjusted
cut-points.
Results
Mean
age:
70.3
±
7.8
years
(67.5%
males).
obesity
(BMI
30
Kg/m
2
):
63.8%.
Median
NT-proBNP:
96.0
(38.8–213.0)
pg/mL.
Prevalence
chronic
kidney
disease
(CKD,
eGFR
<
60
mL/min/1.73m
32.1%.
arterial
BP:
138.5/77.0
15.8/9.9
mmHg.
The
values,
according
cut-points,
28.6%
as
“HS
likely”
(organize
elective
echocardiography
specialist
evaluation),
43.2%
not
(a
grey
area,
repeat
at
six
months)
28.2%
“very
unlikely
HS”
(repeat
one
year).
presence
CKD
number
anti-hypertensive
drugs,
but
glycemic
parameters,
independently
associated
HS.
Conclusions
According
NT-proBNP,
over
a
quarter
hypertension/high-normal
among
those
SGLT2i
GLP1-RA,
already
risk
cardiac
damage,
even
subclinical.
Most
would
receive
an
indication
echocardiogram
be
specialist,
allowing
early
implementation
effective
strategies
prevent
delay
progression
advanced
stages
overt
HF.
Language: Английский
Prehospital Targeting of 1-Year Mortality in Acute Chest Pain by Cardiac Biomarkers
Diagnostics,
Journal Year:
2023,
Volume and Issue:
13(24), P. 3681 - 3681
Published: Dec. 16, 2023
The
identification
and
appropriate
management
of
patients
at
risk
suffering
from
acute
chest
pain
(ACP)
in
prehospital
care
are
not
straightforward.
This
task
could
benefit,
as
occurs
emergency
departments
(EDs),
cardiac
enzyme
assessment.
aim
the
present
work
was
to
derive
validate
a
scoring
system
based
on
troponin
T
(cTnT),
N-terminal
pro
B-type
natriuretic
peptide
(NT-proBNP),
D-dimer
predict
1-year
mortality
with
ACP.
prospective,
multicenter,
ambulance-based
cohort
study
adult
ACP
diagnosis
who
were
evacuated
by
ambulance
ED
between
October
2019
July
2021.
primary
outcome
365-day
cumulative
mortality.
A
total
496
fulfilled
inclusion
criteria.
rate
12.1%
(60
patients).
scores
derived
cTnT,
NT-proBNP,
presented
an
AUC
0.802
(95%
CI:
0718-0.886)
for
superior
that
each
individual
enzyme.
Our
provides
promising
evidence
predictive
value
score
prediction
implementation
this
has
potential
benefit
medical
service
facilitate
on-scene
decision-making
process.
Language: Английский
Screening For Occult Heart Failure in Type 2 Diabetes Mellitus Using NT-proBNP: Real-World Evidence From a Tertiary Care Center in India
Ameya Joshi,
No information about this author
Dhaval Dalal,
No information about this author
Sandeep B. Patil
No information about this author
et al.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
Objective
Heart
failure
(HF)
is
an
important
underrecognized
complication
of
type
2
diabetes
mellitus
(T2DM).
Recent
literature
and
recommendations
support
screening
for
HF
among
T2DM
people
attending
the
outpatient
department
(OPD)
in
non-emergency
settings
using
a
biomarker.
The
present
study
retrospective
cross-sectional
that
assesses
prevalence
screen
positivity
(S+)
undiagnosed
(with
normal
electrocardiogram
(ECG)
no
history
heart
disease)
OPD
at
tertiary
care
center
India
N-terminal
pro-B-type
natriuretic
peptide
(NT-proBNP).
It
also
highlights
risk
factors
S+
HF.
Methods
This
practice
NT-proBNP
to
diagnose
stage
B
A
total
1,049
consecutive
with
(age
range:
18-75
years)
institute
were
screened
(cut
off
>125
pg/mL).
Demographic
variables,
vitals,
smoking
status,
family
history,
status
hypertension,
medications
diabetes,
glycemic
control
recorded
correlated
Results
Of
T2DM,
336
(32.03%)
had
Those
higher
age
(62.5+9.3
vs
54.2
+10.6
years),
longer
duration
(14.4
+7.8
9.6
+6.1
positive
(94
[28%]
55
[7.7%])
tobacco
chewing
(66
[19.6%]
24
[3.4%]),
blood
pressures
(both
systolic
[152.1+19.9
134.6
+15
mmHg]
diastolic
[87.7+9.6
83.9+7.8
mmHg]),
glycated
hemoglobin
(HbA1c)
(8.4+1.4
7.6+1
BMI
(28.3+2.8
27.2+2.1
kg/m
Language: Английский
Irisin Predicts Poor Clinical Outcomes in Patients with Heart Failure with Preserved Ejection Fraction and Low Levels of N-Terminal Pro-B-Type Natriuretic Peptide
Biomolecules,
Journal Year:
2024,
Volume and Issue:
14(12), P. 1615 - 1615
Published: Dec. 17, 2024
Background:
Despite
existing
evidence
of
the
high
predictive
value
natriuretic
peptides
(NPs)
in
patients
with
heart
failure
(HF),
treated
guideline-directed
therapy
who
have
low
or
near-normal
NP
levels
are
unlikely
to
be
correctly
stratified
for
risk
clinical
outcomes.
The
aim
this
study
is
detect
plausible
predictors
poor
one-year
outcomes
HFpEF
and
NT-proBNP
accordance
conventional
guidelines.
Methods:
A
total
337
HF
preserved
ejection
fraction
(HFpEF)
had
N-terminal
pro-peptide
(NT-proBNP)
at
discharge
due
optimal
guideline-based
were
enrolled
study.
course
observation
was
3
years.
Echocardiography
assessment
hematological
biochemical
parameters,
including
NT-proBNP,
tumor
necrosis
factor-alpha,
high-sensitivity
C-reactive
protein
(hs-CRP),
adropin,
irisin,
visfatin,
fetuin-A,
performed
baseline
end
Results:
Three-year
cumulative
endpoints
(cardiovascular
death,
myocardial
infarction
unstable
angina
acute
coronary
syndrome,
worsening
HF,
sudden
cardiac
cardiac-related
surgery
all-cause
death)
detected
104
patients,
whereas
233
did
not
meet
endpoint.
After
adjusting
an
age
≥
64
years
a
presence
atrial
fibrillation,
diabetes
mellitus,
chronic
kidney
disease
(CKD)
stages
1–3
dilated
cardiomyopathy,
multivariable
Cox
regression
analysis
showed
that
irisin
level
≤7.2
ng/mL
independent
predictor
Moreover,
>
7.2
better
Kaplan–Meier
survival
rate
than
those
lower
serum
(≤7.2
ng/mL).
Conclusions:
Multivariable
years;
CKD
cardiomyopathy;
LAVI
39
mL/m2;
hs-CRP
6.10
mg/L,
≤
ng/mL,
visfatin
1.1
NT-proBNP.
could
emerge
as
valuable
biomarker
predicting
long-term
prognosis
among
Language: Английский