Prediction on the Recurrence of Manic and Depressive Episodes in Bipolar Disorder
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Wearable activity tracker.
- Who it may be relevant to
- Registry conditions: Bipolar Disorder, Depressive Disorder. Basic parameters: 20 years — 60 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Taiwan
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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.
Interventions
- Device Wearable activity tracker
Garmin smartwatch will record features, such as activities, heart rate, sleep, through smartphone App
Primary outcome measures
- Development and verification of mood episode prediction algorithm [Time frame: 1 year]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Case-only
Study locations
Taiwan · 1 center
- National Taiwan University Hospital — Taipei
Identifiers
NCT: NCT05828056 · 202002006RINA