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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.
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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.
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258 participants in 2 patient groups
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Hong-lei Wu Nursing Department, MS; xuan Qian Nursing Department, MS
Data sourced from clinicaltrials.gov
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