Identification and Prevention of Extubation Failure by Using an Automated Continuous Monitoring Alert Versus Standard Care

BACKGROUND: Postextubation monitoring helps identify patients at risk of developing respiratory failure. This study aimed to evaluate the effect of our standard respiratory therapist (RT) assessment tool versus an automated continuous monitoring alert to initiate postextubation RT-driven care on the re-intubation rate. METHODS: This was a single-center randomized clinical trial from March 2020 to September 2021 of adult subjects who received mechanical ventilation for > 24 h and underwent planned extubation in the ICU. The subjects were assigned to the standard RT assessment tool or an automated monitoring alert to identify the need for postextubation RT-driven care. The primary outcome was the need for re-intubation due to respiratory failure within 72 h. Secondary outcomes included re-intubation within 7 d, ICU and hospital lengths of stay, hospital mortality, ICU cost, and RT time associated with patient assessment and therapy provision. RESULTS: Of 234 randomized subjects, 32 were excluded from the primary analysis due to disruption in RT-driven care during the surge of patients with COVID-19, and 1 subject was excluded due to delay in the automated monitoring initiation. Analysis of the primary outcome included 85 subjects assigned to the standard RT assessment group and 116 assigned to the automated monitoring alert group to initiate RT-driven care. There was no significant difference between the study groups in re-intubation rate, median length of stay, mortality, or ICU costs. The RT time associated with patient assessment (P <.001) and therapy provided (P 5.031) were significantly lower in the automated continuous monitoring alert group. CONCLUSIONS: In subjects who received mechanical ventilation for > 24 h, there were no significant outcome or cost differences between our standard RT assessment tool or an automated monitoring alert to initiate postextubation RT-driven care. Using an automated continuous monitoring alert to initiate RT-driven care saved RT time.