Detecting breathing difficulty in ventilated patients

This trial studies how small changes to a breathing machine can affect how short of breath you feel. If you are in the ICU and awake, you may be able to help doctors learn how to make ventilator settings more comfortable.

This trial checks whether a tool (called PMIvent) can safely and accurately track how hard you are breathing while you are on a ventilator set to “pressure support.” If it works well, it may help clinicians better understand breathing effort during this common type of ventilator care.

This study uses ultrasound to measure the movement of your chest wall muscles and diaphragm to see if it can predict whether you can safely come off the breathing machine (ventilator). The goal is to find a better way to know when you are ready to breathe on your own.

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.

This study uses data from your hospital records to see if a machine learning tool can predict whether a patient will succeed when doctors try to remove their breathing tube during a test of their own breathing.

This study looks at how different settings on the breathing machine (ventilator) are used for critically ill adults in the ICU. It may help doctors improve care for people who need a breathing tube.