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

National Taiwan University

Status: Enrolling

Conditions: Bipolar Disorder; Depressive Disorder

Treatments: Device: Wearable activity tracker

Study type: Observational

Funder types: Other

Identifiers

NCT05828056

202002006RINA

Details and patient eligibility

About

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.

Enrollment: 100 estimated patients

Sex: All

Ages: 20 to 60 years old

Volunteers: No Healthy Volunteers

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

Trial design

100 participants in 1 patient group

BP

Description:

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

Treatment:

Device: Wearable activity tracker