Panic Disorder Clinical Trial
— MCMOfficial title:
Mobile and Wearable-assisted Case Management for Panic Disorder: An Observational Cohort Study Using Machine Learning and Explainable AI
Verified date | February 2024 |
Source | En Chu Kong Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
A panic attack (PA) is an intense form of anxiety accompanied by multiple somatic presentations, leading to frequent emergency department visits and impairing quality of life. A prediction model for PAs could help clinicians and patients monitor, control, and do early intervention for recurrent panic attacks, enabling more personalized treatment for panic disorder. This study aimed to provide a seven-day PA prediction model and determine the relationship between a future PA and various features, including physiological factors, anxiety and depressive factors, and air quality index. We will enroll 200 participants (150 participants join case management with wearables study, 50 participants join TAU group) with PD (DMS-5 and MINI interview). Participants used smartwatches (Garmin vivosmart 4) and mobile applications to collect their sleep, heart rate, activity level, anxiety, and depression scores (BDI, BAI, STAI-S, STAI-T, and PDSS-SR) in their real-life for a duration of one year. We also included air quality indexes from open data. To analyze these data, our team used six machine learning methods: random forests, decision trees, LDA, AdaBoost, XGBoost, and regularized greedy forests, or other deep learning methods.
Status | Completed |
Enrollment | 159 |
Est. completion date | September 30, 2023 |
Est. primary completion date | September 30, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Diagnosis of panic disorder by DSM5 2. More than 18 years old 3. An essential ability to navigate smartwatch and mobile phone applications Exclusion Criteria: 1. Current substance abuse 2. Cardiopulmonary incapacity 3. Incapacity or limited mental capacity 4. Acute suicidal ideation |
Country | Name | City | State |
---|---|---|---|
Taiwan | En Chu Kong Hospital | Sanxia | New Taipei City |
Lead Sponsor | Collaborator |
---|---|
En Chu Kong Hospital | National Taiwan University |
Taiwan,
Tsai CH, Chen PC, Liu DS, Kuo YY, Hsieh TT, Chiang DL, Lai F, Wu CT. Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study. JMIR Med Inform. 2022 Feb 15;10(2):e33063. doi: 10.2196/33063. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | PDSS score | Panic severity score | through study completion, an average of 1 year | |
Secondary | STAI score | The State-Trait Anxiety Inventory | through study completion, an average of 1 year | |
Secondary | BDI score | The Beck Depression Inventory II | through study completion, an average of 1 year | |
Secondary | BAI score | The Beck Anxiety Inventory | through study completion, an average of 1 year |
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