Asynchronies between the patient and the artificial ventilator are a frequent problem. They may cause altered sleep, ventilator-induced lung injury, prolong length of ICU stay, cause neuro-psycologic complications and increase mortality. Although reducing their incidence through ventilator setting adjustments is possible, they frequently go undetected and it also requires that attendings remain at the bedside to repeatedly modify ventilator parameters. Ventilator systems may detect and automatically adjust parameters of mechanical ventilation. This would avoid delays in detection and adjustment if the intensivist is not immediately available. The investigators intend to study an automatic detection and adjustment tool which is incorporated in the ventilator software.
The prevalence and time course of asynchronies will be evaluated in subjects under invasive (n=40) or non-invasive (n=40) mechanical ventilation. Intensivist-optimized ventilator settings will be compared to a software tool (Hamilton ventilators, Intellisync+) in its capacity to control and adjust the triggering and cycling by analysis of the ventilator curves. The outcome variable is the percentage of the duration of asynchronies during the two 2-hour study periods. This pilot study has a prospective, randomized cross-over design. The order of the 2 study periods will be randomized to either start with "control" with manual adjustment or "automated adjustment" with Intellisync+. The total sample size is 80 subjects, 40 receiving invasive mechanical ventilation and 40 on non-invasive mechanical ventilation.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
30
mechanical ventilator software automatically detecting and adjusting ventilator parameters to control or reduce the number of events.
Hospital Clinico San Carlos
Madrid, Madrid, Spain
Duration of asyncronies
duration of asyncronies expressed as percentage of time during the respective 2-hour study periods
Time frame: two hours per study arm
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