Automated Control of Mechanical Ventilation During General Anaesthesia
NCT ID: NCT02644005
Last Updated: 2019-04-18
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
100 participants
OBSERVATIONAL
2017-07-07
2019-03-07
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Smart Vent Control
Smart Vent Control (SVC) was designed to automatically control the following ventilator settings: mechanical breathing frequency, inspiratory pressure, pressure support, inspiratory time, trigger sensitivity. SVC adjusts the ventilator settings with the aim to keep a patient stable in a target zone (TZ). Numerous predefined TZs exist that can be set according to the current therapeutic situation. All TZs are adoptable by the user for each individual patient and consist of upper and lower limits for tidal volume and for the partial pressure of end-tidal carbon dioxide (PetCO2). Based on these limits, the system classifies the current quality of ventilation, called Classification of Ventilation, and derives new ventilator settings accordingly. SVC is available as a software option on Zeus Infinity Empowered anesthesia machines (Drägerwerk AG \& Co. KGAa, Lübeck, Germany) and is approved as a medical product according to 93/42/European Economic Community.
Eligibility Criteria
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Inclusion Criteria
* Patient is classified as American Society of Anesthesiologists physical status (ASA) I, II or III
* Age ≥ 18 years
* Written consent of the patient for study participation
Exclusion Criteria
* Known chronic obstructive pulmonary disease Gold stage III or higher
* Two or more of the following organ failures
* Mild, moderate or severe ARDS
* Hemodynamic instability: systolic blood pressure \< 90 mm Hg, mean arterial pressure \< 70 mm Hg or administration of any vasoactive drugs.
* Acute renal failure: oliguria (urine output \< 0.5 ml/kg/h for at least 2 hours despite of adequate management or creatinine increase \> 0.5 mg/dl
* Cerebral failure: loose of consciousness or encephalopathy
* Patient is pregnant.
18 Years
ALL
No
Sponsors
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Drägerwerk AG & Co. KGaA
INDUSTRY
University Hospital Schleswig-Holstein
OTHER
Responsible Party
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Norbert Weiler
Prof. Dr. Norbert Weiler
Principal Investigators
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Norbert Weiler, M.D.
Role: PRINCIPAL_INVESTIGATOR
University Medical Center Schleswig-Holstein, Campus Kiel, Germany, Department of Anesthesiology and Intensive Care Medicine
Christoph Hörmann, M.D.
Role: PRINCIPAL_INVESTIGATOR
University Hospital St. Pölten, Austria, Department of Anesthesiology and Intensive Care Medicine
Locations
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University Hospital St. Pölten, Department of Anesthesiology and Intensive Care Medicine
Sankt Pölten, , Austria
University Medical Center Schleswig-Holstein, Campus Kiel, Department of Anesthesiology and Intensive Care Medicine
Kiel, , Germany
Countries
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References
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Schadler D, Miestinger G, Becher T, Frerichs I, Weiler N, Hormann C. Automated control of mechanical ventilation during general anaesthesia: study protocol of a bicentric observational study (AVAS). BMJ Open. 2017 May 10;7(5):e014742. doi: 10.1136/bmjopen-2016-014742.
Other Identifiers
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AVAS
Identifier Type: -
Identifier Source: org_study_id
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