NCT05832905

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
159

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jun 2020

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 15, 2020

Completed
2.8 years until next milestone

First Submitted

Initial submission to the registry

March 26, 2023

Completed
1 month until next milestone

First Posted

Study publicly available on registry

April 27, 2023

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 30, 2023

Completed
Last Updated

March 1, 2024

Status Verified

February 1, 2024

Enrollment Period

3.3 years

First QC Date

March 26, 2023

Last Update Submit

February 28, 2024

Conditions

Keywords

Wearables, Case Management, Mobile-assisted care

Outcome Measures

Primary Outcomes (1)

  • PDSS score

    Panic severity score

    through study completion, an average of 1 year

Secondary Outcomes (3)

  • STAI score

    through study completion, an average of 1 year

  • BDI score

    through study completion, an average of 1 year

  • BAI score

    through study completion, an average of 1 year

Study Arms (2)

Experiment (observational) group with Mobile and Wearable-assisted Case Management (MCM)

MCM involves the integration of mobile technology, such as smartphones and wearable devices, to supplement TAU. This approach is designed to provide additional support and monitoring to patients through the use of mobile applications and remote contact with healthcare professionals. In this study, MCM was implemented alongside TAU, with patients receiving pharmacotherapy, CBT, and mobile-assisted case management services. The MCM component consisted of regular contact with case managers via telephone and a dedicated mobile application.

Behavioral: Mobile and Wearable-assisted Case Management

Control group (TAU)

TAU refers to the standard care provided to patients with panic disorder, which typically includes a combination of pharmacotherapy and psychological or behavioral treatment. In the context of this study, TAU consisted of pharmacological interventions, such as prescribing anxiolytic or antidepressant medications, and psychological interventions, primarily Cognitive Behavioral Therapy (CBT). The administration of TAU was conducted by qualified healthcare professionals who followed established clinical guidelines and treatment protocols to ensure the appropriate management of panic disorder symptoms.

Behavioral: Mobile and Wearable-assisted Case Management

Interventions

The MCM group received case management and Mobile-and wearable recording. The actual intervention for Panic disorder, including pharmacotherapy or psychological treatment is the same as in MCM and TAU group

Control group (TAU)Experiment (observational) group with Mobile and Wearable-assisted Case Management (MCM)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients from outpatient clinics with a main diagnosis of Panic disorder

You may qualify if:

  • Diagnosis of panic disorder by DSM5
  • More than 18 years old
  • An essential ability to navigate smartwatch and mobile phone applications

You may not qualify if:

  • Current substance abuse
  • Cardiopulmonary incapacity
  • Incapacity or limited mental capacity
  • Acute suicidal ideation

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

En Chu Kong Hospital

Sanxia District, New Taipei City, 237, Taiwan

Location

Related Publications (1)

  • 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.

    PMID: 35166679BACKGROUND

MeSH Terms

Conditions

Panic Disorder

Condition Hierarchy (Ancestors)

Anxiety DisordersMental Disorders

Study Officials

  • ECKIRB IRB

    En Chu Kong Hostpial

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Target Duration
3 Years
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Attending Physician

Study Record Dates

First Submitted

March 26, 2023

First Posted

April 27, 2023

Study Start

June 15, 2020

Primary Completion

September 30, 2023

Study Completion

September 30, 2023

Last Updated

March 1, 2024

Record last verified: 2024-02

Data Sharing

IPD Sharing
Will not share

Locations