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RecruitingNCT07375667

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

Status
Recruiting
Phase
N/A
Study type
Interventional
Enrollment
258 (estimated)
Sponsor
Affiliated Hospital of Nantong University · Academic / Other
Sex
All
Age
18 Years – 90 Years
Healthy volunteers
Not accepted

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.

Detailed description

To validate the clinical feasibility and reliability of airway viscous resistance monitoring, explore the temporal correlation between inflammatory biomarkers and changes in airway viscous resistance, establish a reference threshold system for special populations, and provide experimental evidence for determining the optimal suctioning timing.

Conditions

Interventions

TypeNameDescription
PROCEDUREThe dynamics of airway resistanceMonitoring 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.
DIAGNOSTIC_TESTconventional suctioningThe timing for suctioning is determined based on clinical signs such as rhonchi and an elevated peak pressure.

Timeline

Start date
2025-10-30
Primary completion
2028-12-30
Completion
2029-12-30
First posted
2026-01-29
Last updated
2026-01-29

Locations

3 sites across 1 country: China

Source: ClinicalTrials.gov record NCT07375667. Inclusion in this directory is not an endorsement.