Evaluate the Accuracy of a COPD Screening Algorithm Model
Evaluation of an Algorithm That Can Detect COPD by Intelligent Terminal Device
1 other identifier
observational
400
1 country
5
Brief Summary
Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases. Early detection and treatment are critical to prevent the deterioration of COPD. In this study, we have established an algorithm that can detect and infer the severity of COPD from physiological parameters and audio data collected by wearable devices, and in this stage, we aim to evaluate the accuracy of this algorithm.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2022
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 13, 2022
CompletedFirst Submitted
Initial submission to the registry
October 25, 2023
CompletedFirst Posted
Study publicly available on registry
October 31, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 4, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
January 4, 2024
CompletedJanuary 23, 2024
January 1, 2024
1.3 years
October 25, 2023
January 20, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The diagnostic accuracy of the algorithm for COPD
The diagnostic accuracy of the algorithm for COPD
1 year
Secondary Outcomes (2)
The diagnostic sensitivity and specificity of the algorithm
1 year
The diagnostic accuracy of COPD-PS score for COPD
1 year
Study Arms (1)
Participants with high risk of COPD
no intervention
Eligibility Criteria
participants at high risk of COPD
You may qualify if:
- Over the age of 18, no gender restrictions.
- Participants at high risk of COPD (COPD-PS score ≥5).
- Able to carry out daily activities and wear wearable devices.
- Willing to participate in the study, willing to comply with the study protocol, and have the ability to sign informed consent.
- Possess mobile communication equipment, which can meet the requirement of installing wearable device applications and recording function.
You may not qualify if:
- Diagnosed with chronic respiratory diseases other than COPD, such as asthma, lung cancer, active tuberculosis, bronchiectasis and diffuse lung diseases (interstitial pneumonia, occupational lung disease, sarcoidosis, etc.).
- lobectomy and/or lung transplantation, pleural disease.
- Complicated with serious underlying diseases, including severe mental illness, intellectually impaired diseases, neurological disease (resulting in limb movement disorder), malignant tumor (PS score \> 2), chronic liver disease (transaminase \> 3 times the upper limit of normal), heart failure (NYHA\> Grade 3), autoimmune disease, chronic kidney disease (CKD-5), unstable coronary artery disease, arrhythmia (atrial fibrillation, atrial flutter, severe ventricular arrhythmia), congenital heart disease, pulmonary hypertension, etc., or life expectancy of less than 6 months.
- Malnutrition (BMI\<18 kg/m2).
- Bilateral wrist and hand edema, wrist soft tissue injury, inability to wear a watch/bracelet due to incomplete skin.
- Dual upper limb pigmentation or abnormal blood supply (occlusion, thrombosis, trauma, etc.).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (5)
Baizhifang Community Health Service Center of Xicheng District Beijing
Beijing, Beijing Municipality, China
Civil Aviation General Hospita
Beijing, Beijing Municipality, China
Guangfa Wang
Beijing, Beijing Municipality, China
Shichahai community health service center
Beijing, Beijing Municipality, China
The Hospital of Changping District Beijing
Beijing, Beijing Municipality, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Guangfa Wang, MD
Peking University First Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof. & MD.
Study Record Dates
First Submitted
October 25, 2023
First Posted
October 31, 2023
Study Start
September 13, 2022
Primary Completion
January 4, 2024
Study Completion
January 4, 2024
Last Updated
January 23, 2024
Record last verified: 2024-01