Acta Marisiensis. Seria Medica,
Journal Year:
2024,
Volume and Issue:
70(3), P. 141 - 148
Published: Sept. 1, 2024
Abstract
Objective
In
this
retrospective
cohort
study,
we
aimed
to
provide
a
snapshot
of
how
the
pandemic
has
affected
pediatric
type
1
diabetes
mellitus
(T1D)
admissions
in
our
hospital.
Methods
This
study
included
117
patients
aged
0-18
classified
based
on
period
(pre-pandemic
vs.
2020-2022)
and
diagnosis
at
admission:
new-onset
T1D
(nT1D)
or
diabetic
ketoacidosis
(DKA)-decompensated
T1D.
We
investigated
effect
COVID-19
demographic,
clinical,
laboratory
characteristics
these
patients.
Results
Out
all
T1D-related
admissions,
proportion
for
nT1D
increased
compared
pre-pandemic
period:
71.6%
vs
53.4%,
p=0.048.
Unrelated
pandemic,
admission
was
associated
with
1)
sex
distribution
(males
–
more
females
frequent
DKA
p=0.01),
2)
hospitalization
duration
(longer
than
DKA-decompensated
p=0.001).
Blood
glucose
HbA1c
levels
were
influenced
neither
by
nor
diagnosis.
During
change
seasonality
became
apparent.
A
potential
association
pattern
between
new
cases,
number
stringency
restrictions
observed.
Conclusions
increased,
as
well
severity
cases.
addition,
brought
about
notable
shifts
JAMA Network Open,
Journal Year:
2023,
Volume and Issue:
6(6), P. e2321281 - e2321281
Published: June 30, 2023
Importance
There
are
reports
of
increasing
incidence
pediatric
diabetes
since
the
onset
COVID-19
pandemic.
Given
limitations
individual
studies
that
examine
this
association,
it
is
important
to
synthesize
estimates
changes
in
rates.
Objective
To
compare
rates
during
and
before
Data
Sources
In
systematic
review
meta-analysis,
electronic
databases,
including
Medline,
Embase,
Cochrane
database,
Scopus,
Web
Science,
gray
literature
were
searched
between
January
1,
2020,
March
28,
2023,
using
subject
headings
text
word
terms
related
COVID-19,
diabetes,
diabetic
ketoacidosis
(DKA).
Study
Selection
Studies
independently
assessed
by
2
reviewers
included
if
they
reported
differences
incident
cases
vs
pandemic
youths
younger
than
19
years,
had
a
minimum
observation
period
12
months
pandemic,
published
English.
Extraction
Synthesis
From
records
underwent
full-text
review,
abstracted
data
risk
bias.
The
Meta-analysis
Observational
Epidemiology
(
MOOSE
)
reporting
guideline
was
followed.
Eligible
meta-analysis
analyzed
with
common
random-effects
analysis.
not
summarized
descriptively.
Main
Outcomes
Measures
primary
outcome
change
rate
secondary
DKA
among
new-onset
Results
Forty-two
102
984
review.
type
1
17
38
149
showed
higher
first
year
compared
prepandemic
(incidence
ratio
[IRR],
1.14;
95%
CI,
1.08-1.21).
an
increased
13
24
(IRR,
1.27;
1.18-1.37).
Ten
(23.8%)
both
periods.
These
did
report
rates,
so
results
pooled.
Fifteen
(35.7%)
found
1.26;
1.17-1.36).
Conclusions
Relevance
This
study
at
children
adolescents
after
start
Increased
resources
support
may
be
needed
for
growing
number
diabetes.
Future
assess
whether
trend
persists
help
elucidate
possible
underlying
mechanisms
explain
temporal
changes.
Diabetologia,
Journal Year:
2024,
Volume and Issue:
67(7), P. 1168 - 1180
Published: Feb. 20, 2024
Abstract
An
association
between
diabetes
and
infection
has
been
recognised
for
many
years,
with
being
an
important
cause
of
death
morbidity
in
people
diabetes.
The
COVID-19
pandemic
re-kindled
interest
the
complex
relationship
infection.
Some
infections
occur
almost
exclusively
diabetes,
often
high
mortality
rates
without
early
diagnosis
treatment.
However,
more
commonly,
is
a
complicating
factor
infections.
A
reciprocal
occurs
whereby
certain
their
treatments
may
also
increase
risk
People
have
1.5-
to
4-fold
increased
risks
are
most
pronounced
kidney
infection,
osteomyelitis
foot
but
pneumonia,
influenza,
tuberculosis,
skin
general
sepsis.
Outcomes
from
worse
notable
example
twofold
higher
rate
COVID-19.
Hyperglycaemia
deleterious
effects
on
immune
response.
Vascular
insufficiency
neuropathy,
together
altered
skin,
mucosal
gut
microbial
colonisation,
contribute
Vaccination
although
efficacy
immunisations
be
compromised,
particularly
presence
hyperglycaemia.
principles
treatment
largely
follow
those
population
exceptions.
Graphical
Diabetologia,
Journal Year:
2024,
Volume and Issue:
67(6), P. 995 - 1008
Published: March 22, 2024
Abstract
Aims/hypothesis
Type
1
diabetes
is
an
heterogenous
condition.
Characterising
factors
explaining
differences
in
individual’s
clinical
course
and
treatment
response
will
have
important
research
implications.
Our
aim
was
to
explore
type
heterogeneity,
as
assessed
by
characteristics,
autoantibodies,
beta
cell
function
glycaemic
outcomes,
during
the
first
12
months
from
diagnosis,
how
it
relates
age
at
diagnosis.
Methods
Data
were
collected
large
INNODIA
cohort
of
individuals
(aged
1.0–45.0
years)
newly
diagnosed
with
diabetes,
followed
3
monthly,
assess
C-peptide,
HbA
1c
diabetes-associated
antibodies,
their
changes,
across
three
groups:
<10
years;
10–17
≥18
years.
Results
The
study
population
included
649
(57.3%
male;
12.1±8.3
years),
96.9%
whom
positive
for
one
or
more
diabetes-related
antibodies.
Baseline
(IQR)
fasting
C-peptide
242.0
(139.0–382.0)
pmol/l
(AUC
749.3
[466.2–1106.1]
×
min),
levels
increasing
(
p
<0.001).
Over
time,
remained
lower
participants
aged
years
but
declined
all
groups.
In
parallel,
glucose
progressively
increased.
Lower
baseline
BMI
SD
score
presence
diabetic
ketoacidosis
diagnosis
associated
stimulated
over
time.
decreased
<0.001),
whereas
insulin
requirement
increased
post
Conclusions/interpretation
this
we
identified
age-related
biochemical
variables.
Of
note,
younger
children
there
no
main
its
rate
decline.
Graphical
Throughout
the
COVID-19
pandemic,
there
has
been
a
notable
increase
in
incidence
of
new-onset
diabetes
and
diabetic
ketoacidosis
(DKA).
Simultaneously,
children
diagnosed
with
type
1
(T1D)
have
encountered
difficulties
maintaining
optimal
blood
glucose
levels.
The
mechanisms
underpinning
these
correlations
still
remain
puzzle.
We
reviewed
studies
that
examined
changes
during
pandemic.
These
utilized
various
metrics
for
comparison,
which
encompassed
timing
data
collection,
diagnostic
criteria,
as
well
numbers
rates
DKA.
found
DKA
was
higher
As
to
mechanisms,
invivo
invitro
study
revealed
factors
such
direct
viral
damage,
metabolic
dysfunction,
immune
responses
all
attribute
process
T1D
after
suffering
from
COVID-19.
Furthermore,
we
provide
some
useful
strategies
prevent
treat
Strong
observed
between
Insights
gleaned
clinical
descriptions
basic
research
can
offer
valuable
experience
recommendations
treatment
prevention
future
pandemics.
Pediatric Diabetes,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Background:
The
annual
incidence
rate
(IR)
of
childhood‐onset
type
1
diabetes
mellitus
(T1DM)
among
Estonian
children
under
15
years
age
was
12.6
cases
per
100,000
between
1983
and
2006,
with
the
highest
IR
occurring
in
10–14‐year‐old
group.
Notably,
0–4‐year‐old
group
saw
most
significant
increase,
at
9.3%.
Objective:
This
study
aims
to
determine
trends
T1DM
from
2022,
focusing
on
period
2007
2022.
Additionally,
evaluates
impact
COVID‐19
pandemic
this
population.
Subjects
Methods:
retrospective
cohort
gathered
data
2022
using
population‐based
registries
Estonia’s
paediatric
medical
centers.
Preceding
were
sourced
previous
publications.
subjects
divided
into
three
groups,
segmented
five
time
periods,
each
spanning
8
years.
Results:
From
1104
new
diagnosed
Estonia,
a
crude
32.9
persons
year
(95%
confidence
interval
[CI]
30.9–34.8).
10–14‐year
(40.5
year)
CI
36.7–44.3).
On
average,
grew
by
1.6%
during
for
all
groups
combined.
growth
5–9‐year‐old
group,
an
increase
2.9%
(relative
risk
[RR]
1.23,
95%
1.0–1.5).
ever
recorded
Estonia
2021,
fatality
COVID‐19,
45.8
26.9–54.8).
Conclusions:
continues
rise,
notable
spike
2021
peak
pandemic.
Pediatric Diabetes,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
To
investigate
whether
the
remission
period
in
type
1
diabetes,
as
measured
by
insulin-dose
adjusted
A1c
(IDAA1C),
was
affected
COVID-19
pandemic.
Data
from
7603
children
and
adolescents
with
diabetes
prospective
follow-up
(DPV)
registry
were
available.
We
compared
two
time
periods
of
onset,
2020/2021
vs.
2018/2019.
IDAA1C
prevalence
(IDAA1c
<
9%)
analyzed
using
logistic
linear
regression
models
for
age
groups
(0.5-<6,
6-<12,
12-<18
years),
sex,
diabetic
ketoacidosis
(DKA)
at
use
continuous
glucose
monitoring
(CGM)
systems,
insulin
pumps,
sensor-augmented
pumps
(SAPs)
or
automated
delivery
(AID)
BMI
categories
(<90.
percentile
BMI,
90.
-<97.
97.
-<99.5
>
=
99.5
BMI)
immigrant
background.
three
analyzed:
3-5
months,
6-10
11-13
months
after
diagnosis
diabetes.
Compared
to
prepandemic
period,
during
pandemic
significantly
higher
(mean
estimated
differences
0.26
[95%
confidence
interval
0.17;
0.35],
p
0.001),
but
not
difference
0.08
[-0.01;
0.17],
p=0.07;
-0.03
[-0.12;
0.07],
p=0.60),
reflecting
a
lower
percentage
patients
months.
Reasons
may
be
changes
autoimmune
progression
pandemic,
lack
physical
activities,
increased
stress
psychological
burden,
altered
access
care
delayed
Underlying
causes
need
evaluated
future
studies.
Infectious Diseases,
Journal Year:
2024,
Volume and Issue:
56(6), P. 423 - 433
Published: March 21, 2024
Convalescent
plasma
(CP)
emerged
as
potential
treatment
for
COVID-19
early
in
the
pandemic.
While
efficacy
hospitalised
patients
has
been
lacklustre,
CP
may
be
beneficial
at
first
stages
of
disease.
Despite
multiple
new
variants
emerging,
no
trials
have
involved
analyses
on
variant-specific
antibody
titres
CP.
Annals of Nutrition and Metabolism,
Journal Year:
2024,
Volume and Issue:
80(3), P. 161 - 170
Published: Jan. 1, 2024
Diabetic
ketoacidosis
(DKA)
is
an
important
complication
of
type
1
diabetes
mellitus
(T1DM)
which
worsened
when
the
diagnosis
T1DM
delayed.
The
aim
this
study
was
to
evaluate
presentation
patterns,
severity,
autoantibody
status,
and
seasonal
variability
newly
diagnosed
patients
during
pandemic
period
2
years
compared
those
in
pre-pandemic
period.