Effectiveness of the WearME System for COPD Severity and Respiratory Function
WearME-COPD
Effectiveness of WearME System for FEV1/FVC, Respiration and Activity Biomarkers in COPD Patients
2 other identifiers
observational
128
1 country
2
Brief Summary
This observational study evaluates the effectiveness of the WearME system in monitoring COPD severity and respiratory function by comparing its measurements to standard spirometry, capnography, and other clinical assessments in 128 COPD participants.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2025
Shorter than P25 for all trials
2 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
First Submitted
Initial submission to the registry
December 20, 2024
CompletedFirst Posted
Study publicly available on registry
December 30, 2024
CompletedStudy Start
First participant enrolled
May 29, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
February 28, 2026
CompletedSeptember 9, 2025
September 1, 2025
8 months
December 20, 2024
September 2, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Agreement between WearME-Pro system and gold standard devices for FEV1 measurements, stratified by COPD severity.
The primary outcome measure will be the Bland-Altman LOA between the FEV1/FVC measurements of WearME-Pro FEV1/FVC prediction (recorded within the WearME-Basic app but not displayed to users) and the gold standard devices.
Within 6 months of study start.
Secondary Outcomes (4)
Accuracy of WearME-Basic in measuring Respiration Rate
Within 6 months of study start.
Accuracy of WearME-Basic in measuring I:E ratio
Within 6 months of study start.
Accuracy of WearME-Basic in measuring Heart Rate
Within 6 months of study start.
Accuracy of WearME-Basic in measuring ROM
Within 6 months of study start.
Study Arms (1)
COPD Participants
Participants are wearing the WearME device and undergoing reference testing
Eligibility Criteria
Adult COPD patients recruited from outpatient clinics at LASARRUS, Johns Hopkins, and TidalHealth.
You may qualify if:
- Adult participants aged 21-100 years, of any sex, and of any race/ethnicity, who are able to understand and sign consent documents in English or Spanish.
- Diagnosed with COPD as per the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria \[5\] , with the following severity levels (confirmed via spirometry performed after consent):
- Mild: FEV1/FVC \< 0.7 and FEV1 ≥ 80%
- Moderate: FEV1/FVC \< 0.7 and 50% ≤ FEV1 \< 80%
- Severe: FEV1/FVC \< 0.7 and 30% ≤ FEV1 \< 50%
- Very Severe: FEV1/FVC \< 0.7 and FEV1 \< 30% or FEV1 \< 50%, plus chronic respiratory failure.
- Note: Participants will be consented and enrolled based on prior diagnosis of COPD from medical records within the past year to confirm eligibility and stratify COPD severity levels. Spirometry will be performed during concurrent data collection with the WearME device for comparison. Screening failures are expected and will be recorded and managed appropriately.
- Current, former, or never smoker; any amount of time between quitting and study enrollment is allowed).
- Ability to understand and willingness to sign consent documents.
- Able to participate in study procedures as required.
You may not qualify if:
- Participants with known skin allergies or conditions that may interfere with device application or signal transmission.
- Currently receiving invasive mechanical ventilation.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- LASARRUS Clinic and Research Centerlead
- National Heart, Lung, and Blood Institute (NHLBI)collaborator
- Johns Hopkins Universitycollaborator
- Tidalhealthcollaborator
- Tidalhealth, Inc.collaborator
- Johns Hopkins Bloomberg School of Public Healthcollaborator
Study Sites (2)
Johns Hopkins
Baltimore, Maryland, 21224, United States
TidalHealth
Salisbury, Maryland, 21801, United States
Related Publications (3)
Nicholson PJ. The updated ATS/ERS spirometry technical standards. Occup Med (Lond). 2020 May 27;70(3):146-148. doi: 10.1093/occmed/kqaa030. No abstract available.
PMID: 32073625BACKGROUNDLokke A, Lange P, Lykkegaard J, Ibsen R, Andersson M, de Fine Licht S, Hilberg O. Economic Burden of COPD by Disease Severity - A Nationwide Cohort Study in Denmark. Int J Chron Obstruct Pulmon Dis. 2021 Mar 10;16:603-613. doi: 10.2147/COPD.S295388. eCollection 2021.
PMID: 33731990BACKGROUNDGBD Chronic Respiratory Disease Collaborators. Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Respir Med. 2020 Jun;8(6):585-596. doi: 10.1016/S2213-2600(20)30105-3.
PMID: 32526187BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 20, 2024
First Posted
December 30, 2024
Study Start
May 29, 2025
Primary Completion
January 31, 2026
Study Completion
February 28, 2026
Last Updated
September 9, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR
Data Types: Scientific Data to be Shared: 1. Clinical Data: * De-identified patient demographics (age, sex, ethnicity) * Clinical assessments and outcomes * Pulmonary function test results (e.g., FEV1, FVC ratios) * Respiratory rate (RR), Inspiratory/Expiratory (I:E) ratio, activity measurements 2. Physiological Measurements: * Bilateral acoustic recordings from the WearME-Pro device * Kinematic data (accelerometer, gyroscope readings) * Temperature measurements 3. Machine Learning Outputs: * Model parameters and outputs from the AUDAS algorithm * Processed data used for developing predictive models Data Sharing and Access: 1\. Repository Selection: Upon completion of the project, de-identified datasets and associated metadata will be deposited in Figshare, a widely used, NIH-compliant public repository that provides persistent identifiers (DOIs) and facilitates open access.