Automatic Adjustment for Asynchronies During Mechanical Ventilation
NCT ID: NCT06295237
Last Updated: 2025-03-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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TERMINATED
NA
30 participants
INTERVENTIONAL
2024-02-15
2024-12-15
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
SINGLE
Study Groups
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Standard of Care
Optimized ventilator settings to control and reduce the number of asynchronies
No interventions assigned to this group
Activated automatic detection and adjustment of asynchronies
Active mode of a mechanical ventilator software automatically detecting and adjusting ventilator parameters to control or reduce the number of events.
Intellisync+
mechanical ventilator software automatically detecting and adjusting ventilator parameters to control or reduce the number of events.
Interventions
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Intellisync+
mechanical ventilator software automatically detecting and adjusting ventilator parameters to control or reduce the number of events.
Eligibility Criteria
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Inclusion Criteria
* Partial ventilatory support ("SPONT" mode) connected to Hamilton C1 model, irrespective of chronic restrictive or obstructive lung disease, categorized by RCexp (Expiratory time constant): restrictive (RCExp \<0.6); obstructive (RCExp \>0.9); normal (RCExp 0.6 - 0.9).
* Software version SW3.0.0 or superior and the IntelliSync+ software tool available in invasive and non-invasive ventilation.
* Presence of asyncronies in pressure and volume curves tracings of the ventilator.
* Signed informed content.
Exclusion Criteria
* On extracorporeal respiratory support (ECMO or ECCO2R)
18 Years
ALL
No
Sponsors
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Fundación de Investigación Biomédica - Hospital Universitario de La Princesa
OTHER
Hospital San Carlos, Madrid
OTHER
Responsible Party
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Miguel Sanchez Garcia
Director Critical Care Department
Principal Investigators
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Miguel Sanchez-Garcia, MD
Role: STUDY_CHAIR
Hospial Clinico San Carlos
Locations
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Hospital Clinico San Carlos
Madrid, Madrid, Spain
Countries
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Other Identifiers
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i-Sync
Identifier Type: -
Identifier Source: org_study_id
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