Clin2
NCT07109206Possibly a fitNot yet recruiting

Monitoring heart and breathing to predict recovery in COPD patients on ventilators

COPD (Chronic Obstructive Pulmonary Disease)CardiometryWeaning Invasive Mechanical Ventilation

Part of Lungs & breathing clinical trials.

This study looks at whether monitoring heart and breathing signals can help predict how well COPD patients on a breathing machine will recover. It aims to find better ways to guide treatment and improve outcomes.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
104 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You must have COPD (chronic obstructive pulmonary disease).
  • You must be on a breathing machine (ventilator) for more than 48 hours due to a sudden worsening of your COPD.
  • You must be ready to start the process of coming off the breathing machine (weaning).
  • You must be at least 18 years old.
  • You must not have conditions like a collapsed lung (pneumothorax), fluid around the lungs (pleural effusion), or fluid around the heart (pericardial effusion).
  • You must not have injuries, burns, or wounds that would prevent placing the monitoring electrodes on your skin.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07455214Recruiting
Heart rate variability and breathing trial success in ventilated patients

This study looks at whether heart rate patterns can help predict if a person on a breathing machine is ready to breathe on their own. It may help doctors decide the best time to try removing the breathing tube.

New Taipei City
NCT07414108Recruiting
Predicting response to breathing support in COPD

This study looks at whether nighttime breathing problems can predict long-term success with a non-invasive breathing machine in people with COPD who have high carbon dioxide levels in their blood. The goal is to help doctors decide who will benefit most from this therapy.

Bologna
NCT07267104Recruiting
Home ventilation study for COPD patients

This study looks at signals from non-invasive home ventilators to better track COPD. It may help understand how to manage the condition using data from your device.

Sabadell, Barcelona
NCT07590362Recruiting
Testing breathing readiness measures in ventilated COPD patients

This study compares two methods of measuring whether patients with COPD who are on breathing machines are ready to breathe on their own. The goal is to find the best way to predict which patients can successfully come off the ventilator.

Sohag, Sohag Governorate
NCT07579052Recruiting
Predicting When Severely Ill COPD Patients Can Stop Breathing Machines

This study tests a prediction tool called CLEAR to help doctors know when patients with severe COPD lung disease are ready to stop using breathing machines (ventilators) in the ICU. The tool may help doctors make faster, safer decisions about when patients can breathe on their own.

Asyut, Assuit Egypt
NCT07839949Recruiting
Monitoring breathing effort during ventilator weaning

This study tests a new, non-invasive way to monitor how hard your breathing muscles are working while the ventilator support is being reduced. It aims to help doctors wean you off the ventilator more smoothly and safely.

Palma de Mallorca, Balearic Islands

Hear when a new Weaning Invasive Mechanical Ventilation trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.