Dynamic Airway Resistance & ML: Guide Sputum Suction in Ventilated Patients
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: The dynamics of airway resistance, conventional suctioning.
- Who it may be relevant to
- Registry conditions: Mechanical Ventilation Pressure High, Ventilator-Associated Pneumonia (VAP), Respiratory Depression Neonatal. Basic parameters: 18 years — 90 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Mechanisms of Dynamic Airway Resistance Monitoring and Machine Learning for Assessing Pulmonary Inflammation and Guiding Sputum Suction in Mechanically Ventilated Patients
Overview
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.
Interventions
- Procedure The dynamics of airway resistance
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. - Diagnostic test conventional suctioning
The timing for suctioning is determined based on clinical signs such as rhonchi and an elevated peak pressure.
Primary outcome measures
- The drop in airway viscous resistance before and after sputum suction [Time frame: the process of sputum aspiration(at most 30 minutes)]
Secondary outcome measures (2)
- The number of participants with abnormal laboratory tests [Time frame: Laboratory testing time ( at least 30 minutes)]
- Sputum bacterial culture [Time frame: 3 days]
Eligibility criteria
Inclusion criteria
- 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 criteria
- Clinical diagnosis of multiple organ failure;
- Clinical diagnosis of multiple organ bleeding;
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Crossover
- Masking
- Single blind
- Primary purpose
- Supportive care
Study locations
China · 3 centers
- The First Affiliated Hospital of Bengbu Medical University — Bengbu
- Peking Union Medical College Hospital — Beijing
- the Second Affiliated Hospital of Zhejiang University School of Medicine — Hangzhou
Identifiers
NCT: NCT07375667 · 2025-K249-01