Dynamic Airway Resistance & ML: Guide Sputum Suction in Ventilated Patients
Mechanisms of Dynamic Airway Resistance Monitoring and Machine Learning for Assessing Pulmonary Inflammation and Guiding Sputum Suction in Mechanically Ventilated Patients
Affiliated Hospital of Nantong University
258 participants
Oct 30, 2025
INTERVENTIONAL
Conditions
Summary
Research has shown that timely suctioning not only improves survival rates but also enhances the quality of life in ventilator-dependent patients. However, clinical judgment on the optimal timing for suctioning currently relies primarily on physician experience, lacking scientific evidence \[10\]. Airway viscous resistance reflects the frictional resistance encountered by gas flow within the airways and is closely associated with airway patency. When airway secretions increase, viscous resistance undergoes dynamic changes. Therefore, analyzing these dynamic variations in viscous resistance derived from ventilator waveforms to determine the optimal suctioning timing and assess its clinical impact on the progression of pulmonary inflammation holds significant scientific value and offers new insights and methodologies for clinical practice.
Eligibility
Inclusion Criteria3
- Clinical diagnosis of Acute Respiratory Distress Syndrome (ARDS)
- Clinical diagnosis of Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD)
- Clinical diagnosis of Severe pneumonia
Exclusion Criteria2
- Clinical diagnosis of multiple organ failure;
- Clinical diagnosis of multiple organ bleeding;
Interventions
Monitoring the dynamic changes in airway resistance in patients can be used to reflect the progression of pulmonary inflammation and determine the optimal timing for suctioning.
The timing for suctioning is determined based on clinical signs such as rhonchi and an elevated peak pressure.
Locations(3)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07375667