Smart breathing machines at home: a new way to predict COPD crises?
NCT ID NCT02811588
First seen Aug 14, 2026 · Last updated Aug 14, 2026
Summary
This study looks at whether using a breathing machine (non-invasive ventilation) at home, with remote monitoring, can help people with advanced COPD avoid hospital visits. It tracks how often patients need unplanned hospital care and whether the monitoring data can predict problems early. The goal is to see if this approach improves daily life and reduces the burden on healthcare systems.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Non-invasive ventilation (NIV) with home tele-monitoring
- What this could lead to
- If successful, this could lead to better ways to monitor COPD patients at home, potentially reducing hospitalizations and improving quality of life.
- What could go wrong
- The study is observational and early, so it may not prove that tele-monitoring improves outcomes. Also, remote monitoring might not reliably predict all health declines.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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169 people
The number who actually took part.
- Started
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Jul 2016
- Finished
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Dec 2024
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Approximately 550 adult female and male patients with COPD eligible for NIV treatment will be enrolled, out of which 231 patients have been enrolled within the phase 1 of the study. If a patient is enrolled into the study but is never using the prescribed device (i.e. refusal of prescribed therapy) he/she will be replaced. If a patient, who has already started NIV therapy, is enrolled, the start of therapy must not be longer than 7 days before enrolment. Within this study population, data of a maximum of about 100 patients will be added by the French ANTADIR registry in line with in- and exclusion criteria of this observational study.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Phase1:Inclusion Criteria: * Age ≥18 years * GOLD stage 3 or 4 COPD * pCO2 value available not older than one month * Ability to fully understand the study information and willing to give informed consent Phase2: Age ≥18 years COPD eligible for NIV treatment (according to applicable medical guidelines and local policy in routine clinical care) Prescription of an adequate ResMed NIV device with tele-monitoring option (according to Annex 1, 3.) as part of routine clinical care Acceptance of tele-monitoring and corresponding data handling Naive to long-term NIV treatment with initiation of NIV either ≤7 days before or after enrolment into study Able to fully understand information on data protection and provide written informed consent for use of corresponding medical and telemetric data. Phase1:Exclusion Criteria:Existing treatment with NIV Phase2:Exclusion Criteria Invasive ventilation therapy Another life-threatening disease with estimated survival \< 12 months (other than COPD, e.g. cancer) Further exclusion criteria according to IFU of the device intended and prescribed
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Clemenshospital
Münster, Westfalen Lippe, 48153, Germany
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Kliniken der Stadt Köln
Cologne, 51109, Germany
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Marienkrankenhaus gGmbH
Soest, Westfalen Lippe, 59494, Germany
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Universitätsklinikum Aachen
Aachen, North Rhine-Westphalia, 52074, Germany
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