The Inaccuracy of the Mood Disorder Questionnaire for Bipolar Disorder in a Community Sample: From the “DYMERS” Construct Toward a New Instrument for Detecting Vulnerable Conditions
Elisa Cantone,
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Antonio Urban,
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Giulia Cossu
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et al.
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(9), P. 3017 - 3017
Published: April 27, 2025
Background/Objectives:
The
Mood
Disorder
Questionnaire
(MDQ)
is
a
widely
used
tool
for
the
early
detection
of
Bipolar
(BD),
yet
its
diagnostic
accuracy
remains
debated.
In
particular,
MDQ
often
yields
false
positives
in
individuals
with
anxiety,
stress-related,
or
personality
disorders,
raising
questions
about
clinical
utility.
This
study
aimed
primarily
to
evaluate
sensitivity,
specificity,
and
predictive
values
identifying
BD
within
large,
community-based
sample
using
structured
interviews.
Additionally,
we
explored
construct
DYMERS
(Dysregulation
Mood,
Energy,
Social
Rhythms
Syndrome),
proposed
condition
characterized
by
mood
instability,
hyperactivation
traits,
rhythm
dysregulation
among
MDQ-positive
without
formal
psychiatric
diagnosis.
Methods:
A
total
4999
adults
were
surveyed
across
six
Italian
regions
stratified
random
sampling
method.
Psychiatric
diagnoses
established
DSM-IV-TR
criteria
via
Advanced
Neuropsychiatric
Tools
Assessment
Schedule
(ANTAS).
was
administered
face
validated
version,
positivity
cut-off
≥7.
exhibited
low
sensitivity
high
specificity
(0.962;
95%
CI:
0.961–0.963).
Results:
Among
2337
analyzable
cases,
showed
(96.2%)
but
(42.9%)
BD,
indicating
limited
effectiveness
as
screening
tool.
terms,
this
implies
that
while
are
unlikely
be
positives,
substantial
proportion
true
cases
not
identified.
Notably,
significant
subgroup
displayed
features
consistent
DYMERS.
Conclusions:
Our
findings
confirm
value
community
samples.
However,
may
help
identify
broader
spectrum
captured
current
systems.
Future
research
should
focus
on
validating
entity
developing
targeted
instruments
capable
capturing
emerging
dimension
psychopathology.
Language: Английский
How Do We Actually Make a Diagnosis? Lessons Learned From the Bipolar Action Network
Andrew A. Nierenberg,
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Seon‐Cheol Park
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Psychiatric Annals,
Journal Year:
2024,
Volume and Issue:
54(12)
Published: Dec. 1, 2024
The
Bipolar
Action
Network
seeks
to
address
the
challenges
in
diagnosing
bipolar
disorder
by
bridging
gap
between
research
and
clinical
practice
through
a
systematic
approach.
diagnostic
method
variability
contributes
errors
of
omission,
such
as
failing
identify
hypomanic
episodes
patients
presenting
with
depression,
commission,
misinterpreting
mood
instability
symptoms.
To
improve
accuracy,
use
validated
tools
is
encouraged,
including
Composite
International
Diagnostic
Interview
(CIDI),
Mood
Disorder
Questionnaire
(MDQ),
or
Rapid
Screener
(RMS),
Bipolarity
Index
Gary
Sachs.
These
provide
structured
frameworks
capture
full
spectrum
disorder.
However,
integration
these
instruments
into
routine
faces
obstacles,
lack
accessibility
within
electronic
medical
records
additional
workload
for
clinicians.
adopts
collaborative
learning
health
network
model,
engaging
patients,
families,
clinicians
co-develop
solutions.
also
prioritizes
simplicity
its
early
phases,
beginning
user-friendly
tool
Clinical
Global
Impression
Scale–Severity
Disorder.
Practical
concerns,
comorbid
conditions,
minimizing
patient
burden,
streamlining
workflows,
remain
central
ongoing
efforts.
[
Psychiatr
Ann
.
2024;54(12):e335–e339.]
Language: Английский