Prediction on the Recurrence of Manic and Depressive Episodes in Bipolar Disorder
Recruiting · NCT05828056 · Observational (researchers observe without assigning treatment) · Lead sponsor: National Taiwan University Hospital
View the official record on ClinicalTrials.gov →Interventions studied
What this trial is 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.
Who can take part
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
Where it is running
1 location listed.
- National Taiwan University Hospital - Taipei, Taiwan