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
1 other identifier
interventional
258
1 country
3
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2025
Longer than P75 for not_applicable
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 30, 2025
CompletedFirst Submitted
Initial submission to the registry
December 10, 2025
CompletedFirst Posted
Study publicly available on registry
January 29, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 30, 2029
January 29, 2026
October 1, 2025
3.2 years
December 10, 2025
January 26, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The drop in airway viscous resistance before and after sputum suction
Airway viscous resistance drop (AVRD) is the primary efficacy endpoint of this study. It is defined as the difference in airway viscous resistance measured immediately before and after suctioning. Procedure: Record the ventilator-displayed viscous resistance value pre-suction; immediately after the maneuver, re-measure both viscous resistance and peak airway pressure with a high-precision pressure-time sensor. Calculation: The within-patient difference (pre minus post) is the AVRD. In a pilot study of nine patients, AVRD averaged 6.889 ± 3.551 cmH₂O, significantly larger than the concurrent peak-pressure drop (1.556 ± 1.740 cmH₂O), indicating that AVRD is more sensitive to the effect of suction on airway secretions. Clinical implication: AVRD can serve as a quantitative criterion for determining the optimal timing of endotracheal suction.
the process of sputum aspiration(at most 30 minutes)
Secondary Outcomes (2)
The number of participants with abnormal laboratory tests
Laboratory testing time ( at least 30 minutes)
Sputum bacterial culture
3 days
Study Arms (2)
Airway resistance-guided sputum suction
EXPERIMENTALInvestigators will continuously monitor the airway viscous resistance of patients, and initiate suctioning when the airway viscous resistance increases by ≥6 cmH₂O.
conventional suctioning
NO INTERVENTIONIn the control group, the decision to suction was made based on conventional clinical signs, including rhonchi and a rise in peak pressure.
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.
Eligibility Criteria
You may qualify if:
- Clinical diagnosis of Acute Respiratory Distress Syndrome (ARDS)
- Clinical diagnosis of Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD)
- Clinical diagnosis of Severe pneumonia
You may not qualify if:
- Clinical diagnosis of multiple organ failure;
- Clinical diagnosis of multiple organ bleeding;
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (3)
The First Affiliated Hospital of Bengbu Medical University
Bengbu, Anhui, 233000, China
Peking Union Medical College Hospital
Beijing, Beijing Municipality, 100000, China
the Second Affiliated Hospital of Zhejiang University School of Medicine
Hangzhou, Zhejiang, 310009, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 10, 2025
First Posted
January 29, 2026
Study Start
October 30, 2025
Primary Completion (Estimated)
December 30, 2028
Study Completion (Estimated)
December 30, 2029
Last Updated
January 29, 2026
Record last verified: 2025-10
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- CSR
- Time Frame
- From October 2025 until the end of the trial
- Access Criteria
- Critical care researchers; all materials will be made available. Contact: Honglei Wu, e-mail: wu\ honglei@163.com
All data