Frontiers in Public Health,
Год журнала:
2021,
Номер
9
Опубликована: Фев. 16, 2021
Uncontrolled
diabetes
results
in
several
metabolic
alterations
including
hyperglycemia.
Indeed,
preclinical
and
clinical
studies
have
suggested
that
this
condition
may
induce
susceptibility
the
development
of
more
aggressive
infectious
diseases,
especially
those
caused
by
some
bacteria
(including
Chlamydophila
pneumoniae,
Haemophilus
influenzae,
Streptococcus
among
others)
viruses
[such
as
coronavirus
2
(CoV2),
Influenza
A
virus,
Hepatitis
B,
etc.].
Although
precise
mechanisms
link
glycemia
to
exacerbated
infections
remain
elusive,
hyperglycemia
is
known
a
wide
array
changes
immune
system
activity,
in:
(i)
microenvironment
cells
(e.g.,
pH,
blood
viscosity
other
biochemical
parameters);
(ii)
supply
energy
bacteria;
(iii)
inflammatory
response;
(iv)
oxidative
stress
result
bacterial
proliferative
metabolism.
Consistent
with
evidence,
are
typical
(and/or
worse
prognosis)
patients
hypercaloric
diets
stressful
lifestyle
(conditions
promote
hyperglycemic
episodes).
On
basis,
present
review
particularly
focused
on:
role
viral
analyzing
findings;
discussing
possible
which
increase
for
developing
infections;
further
understanding
impact
on
system.
The Lancet Respiratory Medicine,
Год журнала:
2021,
Номер
9(6), С. 622 - 642
Опубликована: Май 7, 2021
The
zoonotic
SARS-CoV-2
virus
that
causes
COVID-19
continues
to
spread
worldwide,
with
devastating
consequences.
While
the
medical
community
has
gained
insight
into
epidemiology
of
COVID-19,
important
questions
remain
about
clinical
complexities
and
underlying
mechanisms
disease
phenotypes.
Severe
most
commonly
involves
respiratory
manifestations,
although
other
systems
are
also
affected,
acute
is
often
followed
by
protracted
complications.
Such
complex
manifestations
suggest
dysregulates
host
response,
triggering
wide-ranging
immuno-inflammatory,
thrombotic,
parenchymal
derangements.
We
review
intricacies
pathophysiology,
its
various
phenotypes,
anti-SARS-CoV-2
response
at
humoral
cellular
levels.
Some
similarities
exist
between
failure
origins,
but
evidence
for
many
distinctive
mechanistic
features
indicates
constitutes
a
new
entity,
emerging
data
suggesting
involvement
an
endotheliopathy-centred
pathophysiology.
Further
research,
combining
basic
studies,
needed
advance
understanding
pathophysiological
characterise
immuno-inflammatory
derangements
across
range
phenotypes
enable
optimum
care
patients
COVID-19.
Nature Reviews Endocrinology,
Год журнала:
2021,
Номер
17(3), С. 135 - 149
Опубликована: Янв. 21, 2021
Obesity
and
impaired
metabolic
health
are
established
risk
factors
for
the
non-communicable
diseases
(NCDs)
type
2
diabetes
mellitus,
cardiovascular
disease,
neurodegenerative
diseases,
cancer
nonalcoholic
fatty
liver
otherwise
known
as
associated
disease
(MAFLD).
With
worldwide
spread
of
severe
acute
respiratory
syndrome
coronavirus
(SARS-CoV-2),
obesity
also
emerged
important
determinants
2019
(COVID-19).
Furthermore,
novel
findings
indicate
that
specifically
visceral
characteristics
such
hyperglycaemia,
hypertension
subclinical
inflammation
with
a
high
COVID-19.
In
this
Review,
we
highlight
how
increase
complications
mortality
in
We
summarize
consequences
SARS-CoV-2
infection
organ
function
NCDs.
addition,
discuss
data
indicating
COVID-19
pandemic
could
have
serious
epidemic.
As
both
accelerators
COVID-19,
might
adversely
influence
efficacy
vaccines,
propose
strategies
prevention
treatment
on
clinical
population
level,
particularly
while
is
present.
This
Review
highlights
(COVID-19)
summarizes
function.
there
discussion
implications
pandemic.
Clinical Infectious Diseases,
Год журнала:
2020,
Номер
72(11), С. e695 - e703
Опубликована: Сен. 17, 2020
Abstract
Background
Data
on
risk
factors
for
coronavirus
disease
2019
(COVID-19)–associated
hospitalization
are
needed
to
guide
prevention
efforts
and
clinical
care.
We
sought
identify
independently
associated
with
COVID-19–associated
hospitalizations.
Methods
Community-dwelling
adults
(aged
≥18
years)
in
the
United
States
hospitalized
laboratory-confirmed
COVID-19
during
1
March–23
June
2020
were
identified
from
COVID-19–Associated
Hospitalization
Surveillance
Network
(COVID-NET),
a
multistate
surveillance
system.
To
calculate
rates
by
age,
sex,
race/ethnicity
strata,
COVID-NET
data
served
as
numerator
Behavioral
Risk
Factor
System
estimates
population
denominator
characteristics
of
interest.
Underlying
medical
conditions
examined
included
hypertension,
coronary
artery
disease,
history
stroke,
diabetes,
obesity,
severe
chronic
kidney
asthma,
obstructive
pulmonary
disease.
Generalized
Poisson
regression
models
used
adjusted
rate
ratios
(aRRs)
hospitalization.
Results
Among
5416
adults,
(all
reported
aRR
[95%
confidence
interval])
higher
among
those
≥3
underlying
(vs
without)
(5.0
[3.9–6.3]),
obesity
(4.4
[3.4–5.7]),
(4.0
[3.0–5.2]),
diabetes
(3.2
[2.5–4.1]),
(2.9
[2.3–3.5]),
hypertension
(2.8
[2.3–3.4]),
asthma
(1.4
[1.1–1.7]),
after
adjusting
race/ethnicity.
Adjusting
presence
an
individual
condition,
observed
aged
≥65
or
45–64
years
18–44
years),
males
females),
non-Hispanic
black
other
race/ethnicities
whites).
Conclusions
Our
findings
elucidate
groups
that
may
benefit
targeted
preventive
therapeutic
interventions.
The Lancet Digital Health,
Год журнала:
2021,
Номер
3(4), С. e217 - e230
Опубликована: Фев. 21, 2021
BackgroundThere
are
concerns
that
the
response
to
COVID-19
pandemic
in
UK
might
have
worsened
physical
and
mental
health,
reduced
use
of
health
services.
However,
scale
problem
is
unquantified,
impeding
development
effective
mitigations.
We
aimed
ascertain
what
has
happened
general
practice
contacts
for
acute
outcomes
during
pandemic.MethodsUsing
de-identified
electronic
records
from
Clinical
Research
Practice
Datalink
(CPRD)
Aurum
(covering
13%
population),
between
2017
2020,
we
calculated
weekly
primary
care
selected
conditions:
anxiety,
depression,
self-harm
(fatal
non-fatal),
severe
illness,
eating
disorder,
obsessive-compulsive
alcohol-related
events,
asthma
exacerbation,
chronic
obstructive
pulmonary
disease
cardiovascular
events
(cerebrovascular
accident,
heart
failure,
myocardial
infarction,
transient
ischaemic
attacks,
unstable
angina,
venous
thromboembolism),
diabetic
emergency.
Primary
included
remote
face-to-face
consultations,
diagnoses
hospital
discharge
letters,
secondary
referrals,
conditions
were
identified
through
diagnoses,
symptoms,
prescribing.
Our
overall
study
population
individuals
aged
11
years
or
older
who
had
at
least
1
year
registration
with
practices
contributing
CPRD
specified
period,
but
denominator
populations
varied
depending
on
condition
being
analysed.
used
an
interrupted
time-series
analysis
formally
quantify
changes
after
introduction
population-wide
restrictions
(defined
as
March
29,
2020)
compared
period
before
their
Jan
1,
7,
2020),
data
excluded
adjustment-to-restrictions
(March
8–28).FindingsThe
9
863
903
2017,
increased
10
226
939
by
2020.
almost
all
dropped
considerably
restrictions.
The
largest
reductions
observed
emergencies
(odds
ratio
0·35
[95%
CI
0·25–0·50]),
depression
(0·53
[0·52–0·53]),
(0·56
[0·54–0·58]).
In
analysis,
exception
(0·98
[0·89–1·10]),
there
was
evidence
a
reduction
(anxiety
0·67
[0·66–0·67],
disorders
0·62
[0·59–0·66],
disorder
[0·69
[0·64–0·74]],
0·56
[0·54–0·58],
illness
0·80
[0·78–0·83],
stroke
0·59
[0·56–0·62],
attack
0·63
[0·58–0·67],
failure
[0·60–0·64],
infarction
0·72
[0·68–0·77],
angina
[0·60–0·87],
thromboembolism
0·94
[0·90–0·99],
exacerbation
0·88
[0·86–0·90]).
By
July,
except
not
recovered
pre-lockdown
levels.InterpretationThere
substantial
following
restrictions,
limited
recovery
Further
research
needed
whether
these
reflect
frequency
missed
opportunities
care.
Maintaining
health-care
access
should
be
key
priority
future
public
planning,
including
further
studied
sufficiently
any
unmet
need
will
ramifications
people
well
provision.FundingWellcome
Trust
Senior
Fellowship,
Health
Data
UK.
Diabetes Obesity and Metabolism,
Год журнала:
2020,
Номер
23(3), С. 870 - 874
Опубликована: Ноя. 27, 2020
The
peer
review
history
for
this
article
is
available
at
https://publons.com/publon/10.1111/dom.14269.
Data
sharing
not
applicable
to
as
no
new
data
were
created
or
analyzed
in
study
Appendix
S1.
Supplementary
file.
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