The Validity of Maximal Diaphragm Thickening Fraction to Measure Diaphragm Function in Mechanically Ventilated Patients
NCT ID: NCT03129217
Last Updated: 2020-08-21
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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COMPLETED
29 participants
OBSERVATIONAL
2015-11-30
2020-04-30
Brief Summary
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Detailed Description
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Twitch measurements require technical expertise and expensive equipment; this technique is therefore basically limited to the laboratory. Bedside ultrasonography has been proposed as a method for measuring diaphragm function by assessing the thickening of the muscle during a maximal inspiratory effort. In order to achieve a maximal volitional effort in mechanically ventilated patients, several methods may be employed: coached maximal efforts, coached sniffing, and transient airway occlusion to stimulate respiratory drive (Marini maneuver).
The investigators are evaluating the validity of diaphragm functional assessment using bedside ultrasound in combination with coached efforts/sniffing/Marini maneuver against the gold standard technique: twitch transdiaphragmatic pressure.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Patients weaning from mechanical ventilation
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Patients who meet readiness-to-wean criteria (triggering the ventilator; FiO2 ≤ 50%; PEEP ≤ 8 cm H20; hemodynamic stability)
Exclusion Criteria
* Patients experiencing an acute exacerbation of an obstructive lung disease (chronic obstructive pulmonary disease (COPD), asthma, bronchiectasis)
18 Years
ALL
No
Sponsors
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University Health Network, Toronto
OTHER
Responsible Party
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Ewan Goligher
Clinical Associate
Principal Investigators
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Ewan C Goligher, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Health Network, Toronto
Locations
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University Health Network
Toronto, Ontario, Canada
Countries
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Other Identifiers
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15-9644-AE
Identifier Type: -
Identifier Source: org_study_id
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