Trial results for a study investigating real-world sensor-derived biometric data in Chronic Obstructive Pulmonary Disease (COPD) were posted on ClinicalTrials.gov on 2026-01-15, with 77 participants enrolled.

Background

Chronic Obstructive Pulmonary Disease (COPD) is a progressive lung disease characterized by persistent respiratory symptoms and airflow limitation. Managing COPD often involves monitoring disease activity and predicting exacerbations, which are acute worsenings of symptoms that can lead to hospitalizations and decline in lung function. Traditional monitoring methods may not capture real-time changes in a patient's condition. Wearable devices offer a potential solution by continuously collecting biometric data such as physical activity, heart rate, and heart rate variability in real-world settings. Investigating the correlation between this sensor-derived data and clinical parameters or patient-reported outcomes could provide valuable insights for more proactive disease management and early detection of exacerbations.

Trial design

This multicenter, prospective cohort study enrolled 77 participants with Pulmonary Disease, Chronic Obstructive. The study was designed to investigate the correlation of real-world sensor-derived biometric data, obtained via a wearable device, with clinical parameters and patient-reported outcomes (PROs) for monitoring disease activity and predicting exacerbations. Participants with COPD were followed for 3 months. A calibration cohort of non-COPD participants was also included and followed for 2 weeks. The study is listed as having a 'NA' phase, indicating it is not a traditional interventional drug or device trial.

Key results

The trial results provide mean measurements and standard deviations for various sensor-collected parameters in the COPD cohort during the observation period:

What this means

The posted results provide descriptive statistics for various biometric parameters collected from wearable sensors in a cohort of 77 COPD patients. These measurements, including physical activity, heart rate, and multiple heart rate variability metrics, establish a baseline of real-world data for individuals with COPD. While the study's primary purpose was to investigate the correlation of this data with disease activity and exacerbation prediction, the currently available results present only the mean values and standard deviations of these sensor-derived parameters. This foundational data could be instrumental for future analyses aimed at identifying patterns or thresholds that may indicate changes in disease status or impending exacerbations, potentially enabling more personalized and timely interventions for patients with COPD.

Source

The information regarding these trial results was obtained from ClinicalTrials.gov, a public database of clinical studies. The results for the study NCT05655832, titled "A Study to Investigate the Association of Real-world Sensor-derived Biometric Data With Clinical Parameters and Patient-reported Outcomes for Monitoring Disease Activity in Patients With COPD", were posted on 2026-01-15 on clinicaltrials.gov.