Prediction on the Recurrence of Manic and Depressive Episodes in Bipolar Disorder
Study Details
Study Description
Brief Summary
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.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
BP 100 patients with mood disorders from the psychiatric ward and outpatient services of the Department of Psychiatry, National Taiwan University Hospital |
Device: Wearable activity tracker
Garmin smartwatch will record features, such as activities, heart rate, sleep, through smartphone App
|
Outcome Measures
Primary Outcome Measures
- Prediction Model [1 year]
Collected data will apply to learning algorithm, random forest, which constructs a multitude of decision trees at training time and outputting a class that is the mode of the classes of the individual trees
Eligibility Criteria
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
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | National Taiwan University Hospital | Taipei | Taiwan |
Sponsors and Collaborators
- National Taiwan University Hospital
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 202002006RINA