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

NCT05828056 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2023-05-06

No results posted yet for this study

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.

Conditions

Interventions

DEVICE

Wearable activity tracker

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

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Eligibility

Min Age
20 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-02
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • Taiwan

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05828056 on ClinicalTrials.gov