Machine learning algorithms informed by real world COPD experience
Detect-Ex is the largest and longest longitudinal study of COPD exacerbations. The study is led by Dr. John Hurst, Professor of respiratory medicine at University College London and consultant respiratory physician at Royal Free London NHS Foundation Trust.
Launched in 2023, Detect-Ex is targeting 75 patients, with at least one exacerbation in last 12 months, for one year of data collection by the LDT system.
The LDT system captures heart rate, respiratory rate, and other measures of motion and sends them to a HIPAA compliant cloud for analysis.
Publication is pending.
Figure 2. Chronic obstructive pulmonary disease assessment test score (green line) and peak expiratory flow (blue line) changes pre and post exacerbation in 27 patients with chronic obstructive pulmonary disease. The y-axis represents Z score relative to the patient’s baseline mean. The x-axis represents the time expressed in days. Day −15 is the mean of the stable period, days −14 to −1 is the preexacerbation period, day 0 is the day of initiation of treatment for exacerbation, and days 1 to 13 is the postexacerbation recovery period. The red lines represent the threshold limits of ±1.96 SD.
The Power of Overnight Heart Rate Monitoring to Predict Exacerbations was Established in 2020
“Once Daily Versus Overnight and Symptom Versus Physiological Monitoring to Detect Exacerbations of Chronic Obstructive,”
Pulmonary Disease: Pilot Randomized Controlled Trial, Hurst et al, JMIR Mhealth Uhealth 2020 | vol. 8 | iss. 11
Key Conclusion :
“…Overnight monitoring of heart rate has the greatest potential to detect or assist in the detection of exacerbations of COPD and is significantly better than once-daily measurement.“
About Dr. John Hurst:
569+ peer-reviewed publications focused on COPD
COPD Lead, Royal College of Physicians’ National Asthma and COPD Audit Program
Associate Editor, European Respiratory Journal