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Recruiting NCT06890767

NCT06890767 Remote Monitoring of COPD Patients Experiencing an Acute Exacerbation Through Health Evaluations Using Wearable Mobile Technology

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Clinical Trial Summary
NCT ID NCT06890767
Status Recruiting
Phase
Sponsor David Ruttens
Condition Chronic Obstructive Pulmonary Disease (COPD)
Study Type INTERVENTIONAL
Enrollment 50 participants
Start Date 2025-03-01
Primary Completion 2026-03-01

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
Wearable mobile deviceCAT QuestionnaireDHRQ Questionnaire

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 50 participants in total. It began in 2025-03-01 with a primary completion date of 2026-03-01.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

Chronic obstructive pulmonary disease (COPD) causes about 3 million deaths annually and significantly burdens healthcare systems, costing the EU 38.6 billion euros, largely due to frequent hospitalizations triggered by acute exacerbations (AECOPD). AECOPD worsens patient health, accelerates lung decline, and lowers quality of life, highlighting the need for early detection. Moreover, these AECOPD events happen in an out-hospital setting and are therefore, not preventable. A clear clinical and quality-of-life need arises to reduce AECOPD-related events and consequent hospitalizations. Mobile health (mHealth) offers a solution by monitoring patients remotely using unobtrusive wearable devices. Parameters like peripheral oxygen saturation (SpO2) and respiratory rate can detect and predict exacerbations. However, no data at home is available of AECOPD events and robust predictive algorithms are lacking. This study aims to monitor vital parameters at home, tracking physical activity, pulse, respiratory rate, SpO2, sleep, and skin temperature from the moment of ER admission until three months post-discharge. Data will be used to gain insight in the COPD progression following an AECOPD event and to construct a predictive model, enabling timely intervention, reducing hospitalizations, and improving outcomes.

Eligibility Criteria

Inclusion Criteria: * Provide signed and dated informed consent * Adults older than 18 years of age * Previously diagnosed with COPD * Speak and understand the Dutch language * Need for hospitalization Exclusion Criteria: * Previous diagnosis of asthma * Not in the possession of a smartphone

Contact & Investigator

Central Contact

Ruben Knevels, MSc

✉ ruben.knevels@zol.be

📞 +3289804029

Frequently Asked Questions

Who can join the NCT06890767 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Chronic Obstructive Pulmonary Disease (COPD). Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06890767 currently recruiting?

Yes, NCT06890767 is actively recruiting participants. Contact the research team at ruben.knevels@zol.be for enrollment information.

Where is the NCT06890767 trial being conducted?

This trial is being conducted at Genk, Belgium.

Who is sponsoring the NCT06890767 clinical trial?

NCT06890767 is sponsored by David Ruttens. The trial plans to enroll 50 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: September 2026  ·  Data Methodology