Prediction on the Recurrence of Manic and Depressive Episodes in Bipolar Disorder

NCT ID: NCT05828056

Last Updated: 2023-05-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-03-02

Study Completion Date

2024-12-31

Brief Summary

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Mood disorders (including bipolar disorder and major depressive disorder) are chronic mental disorders with high recurrent rate. The more the number of recurrence is, the worse long-term prognosis is. This study aims to establish a prediction model of recurrence of manic and depressive episodes in mood disorders, with a hope to detect recurrence relapse as early as possible for timely clinical intervention. We will adopt wearable smart watch to collect heart rate, sleep pattern, activity level, as well as emotional status for one year long in 100 patients with bipolar disorder, and annotated their mood status (i.e., manic episode, depressive episode, and euthymic state). We expect to establish prediction models to predict the recurrence of mood episodes.

Detailed Description

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Conditions

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Bipolar Disorder Depressive Disorder

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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BP

100 patients with mood disorders from the psychiatric ward and outpatient services of the Department of Psychiatry, National Taiwan University Hospital

Wearable activity tracker

Intervention Type DEVICE

Garmin smartwatch will record features, such as activities, heart rate, sleep, through smartphone App

Interventions

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Wearable activity tracker

Garmin smartwatch will record features, such as activities, heart rate, sleep, through smartphone App

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* DSM-5 Bipolar disorder or depressive disorder
* 20\~60 years old
* Willing to carry smartwatch and smartphone most of the time

Exclusion Criteria

* Comorbid with substance use disorder
* Unable to use smartwatch and smartphone
Minimum Eligible Age

20 Years

Maximum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Taiwan University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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National Taiwan University Hospital

Taipei, , Taiwan

Site Status RECRUITING

Countries

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Taiwan

Central Contacts

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Yi-Ling Chien

Role: CONTACT

+886223123456#66013

Facility Contacts

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Yi-Ling Chien, MD, PhD

Role: primary

+886223123456#66013

Other Identifiers

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202002006RINA

Identifier Type: -

Identifier Source: org_study_id

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