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Cough Flow as a Criterion Decannulation Threshold in Prolonged Tracheostomy Patients

Hongying Jiang, MD · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
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Background: International studies have proposed a cough peak flow (CPF) of ≥160 L/min as a reference threshold for safe decannulation. However, this measurement requires prior removal of the tracheostomy tube, which is often difficult for Chinese patients and their families to accept due to cultural and safety concerns. Additionally, there is a lack of rapid, user-friendly, and widely applicable quantitative tools in clinical practice within ICUs or rehabilitation specialties in China. Moreover, the heterogeneity among domestic patient populations with different underlying conditions (such as neuromuscular diseases, spinal cord injuries, stroke, and respiratory failure) makes it challenging to apply a single foreign-derived indicator. In our center's prospective study from 2019 to 2022(Respiratory Research 2024;25:128), the investigators proposed and preliminarily validated that a cough flow measured with tracheostomy tube and speaking valve (CFSV) \>100 L/min could serve as a threshold for safe decannulation. Among 193 patients with long-term tracheostomy tubes, 105 were decannulated based on this threshold, with a success rate of 98.1%. Only two cases required reintubation within 48 hours (1.9%), and the six-month reintubation rate was 2.9%, which is significantly better than previously reported domestic and international data (reintubation rates of 5-15%). For patients with insufficient CFSV, after an average of 26 days of individualized cough enhancement rehabilitation, 91% achieved the threshold and ultimately succeeded in decannulation. This suggests that 100 L/min may be a more physiologically appropriate threshold for Chinese (and even East Asian) populations with indwelling tracheostomy tubes, and that CFSV combined with systematic rehabilitation interventions can significantly improve decannulation rates. However, these conclusions are derived from single-center data with a limited sample size, and the diversity of diseases and regional variations in medic
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