NAVA Unloading - Effects on Distribution of Ventilation
NCT ID: NCT02711722
Last Updated: 2016-04-15
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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UNKNOWN
NA
12 participants
INTERVENTIONAL
2015-06-30
2016-09-30
Brief Summary
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Objectives:
1. To investigate if NAVA targeted to moderate respiratory muscular unloading results in redistribution of ventilation to the dorsal regions of the lungs
2. To verify if the redistribution of ventilation translates to a better gas exchange and to a potentially lung protective ventilation strategy (lower airway pressures)
3. To verify the possibility to set NAVA at different levels of unloading, based on Neuro-Ventilatory Efficiency.
Study Design: Randomised Crossover of Pressure Support and NAVA at different levels of unloading.
Population: Adult Intubated patients at the Neurosurgical ICU, ventilated for more than 48h, in weaning phase from mechanical ventilation.
Study duration: 2,5h Number of subjects: 12
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Detailed Description
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A previous Electrical Impedance Thomography (EIT) study has shown a redistribution of ventilation towards the dorsal regions of the lung in acute lung injury patients ventilated with NAVA, compared to PS.
In the present study, the assist is targeted to different respiratory muscle unloading, predefined and based on the Neuro-Ventilatory Efficiency (NVE). The NVE will be measured at 10min intervals and NAVA level adjusted if needed, to keep constant the level of unloading in each study step.
Protocol: Once enrolled, the patients are ventilated in PS (PScli1) as set by the clinician. They are then ventilated in NAVA at 3 different levels of muscle unloading in randomized order. At NAVAcli, the assist level matches to PScli1 in terms of muscle unloading. With NAVA40% and NAVA60%, the patients have 40% and 60% unloading, respectively. In the last study step the patients are back to PS (PScli2). Each patient is his/her own control and goes through the 5 ventilation periods, of 30min each. In the last 5 min of each study step, the CoV (obtained through the EIT data), blood gas samples (for oxygenation and ventilation) and ventilatory parameters are obtained and analyzed.
The investigators hypothesize that
1. It is possible to set NAVA at different levels of unloading, based on NVE.
2. Moderate muscle unloading (corresponding to NAVA40%) keeps the diaphragm active and thereby leads to more dorsal distribution of ventilation compared to PScli and to higher unloading in NAVA.
3. Secondarily and as a consequence of the redistribution of ventilation, we hypothesize that the gas exchange will remain unchanged or will improve and that the airway pressures will decrease for moderate unloading (NAVA40%).
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
SUPPORTIVE_CARE
NONE
Study Groups
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PScli1
Patients are ventilated in Pressure support (PS) according to the Clinical settings for 30min.
PScli1
Pressure support set by clinicians prior to inclusion
NAVAcli
Patients are ventilated in Neurally Adjusted Ventilatory Assist (NAVA) and the assist is set in order to match to respiratory muscle unloading reached with PScli1. Patients are ventilated in NAVAcli for 30min.
Neurally adjusted ventilatory assist
Ventilation supported by NAVA
* Blood gas analysis
* Respiratory Parameters At the end of the study step Neuro-Ventilatory Efficiency and Neuro-Mechanical Efficiency are measured.
NAVA40%
Patients are ventilated in Neurally Adjusted Ventilatory Assist (NAVA) and the assist is set in order to target 40% muscle unloading based on the Neuro-Ventilatory Efficiency (NVE) measurement. Patients are ventilated in NAVA40% for 30min.
Neurally adjusted ventilatory assist
Ventilation supported by NAVA
* Blood gas analysis
* Respiratory Parameters At the end of the study step Neuro-Ventilatory Efficiency and Neuro-Mechanical Efficiency are measured.
NAVA60%
Patients are ventilated in Neurally Adjusted Ventilatory Assist (NAVA) and the assist is set in order to target 60% muscle unloading based on the Neuro-Ventilatory Efficiency (NVE) measurement. Patients are ventilated in NAVA60% for 30min.
Neurally adjusted ventilatory assist
Ventilation supported by NAVA
* Blood gas analysis
* Respiratory Parameters At the end of the study step Neuro-Ventilatory Efficiency and Neuro-Mechanical Efficiency are measured.
PScli2
Patients return to PS ventilation, according to the Clinical settings as in PScli1 for 30min.
PScli2
Pressure support at the same level as prior to the study
Interventions
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Neurally adjusted ventilatory assist
Ventilation supported by NAVA
* Blood gas analysis
* Respiratory Parameters At the end of the study step Neuro-Ventilatory Efficiency and Neuro-Mechanical Efficiency are measured.
PScli1
Pressure support set by clinicians prior to inclusion
PScli2
Pressure support at the same level as prior to the study
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Intubated for ≥48h
* Weaning phase from Mechanical Ventilation
Exclusion Criteria
* unstable intracranial pressure (ICP\>20 mmHg during the latest 8 hours) or
* unstable circulation (requiring high vasopressor dose, for example Noradrenalin \>0,2µg/kg/min) or
* too severe lung disease (PFI ≤ 26,7 kPa or PEEP \>10 cmH2O or FiO2\>0,5 at study entry point) or
* fever\> 38,5°C or
* tendency to hyperventilation (PaCO2 \< 4,5 kPa at study entry point).
18 Years
ALL
No
Sponsors
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Karolinska University Hospital
OTHER
Responsible Party
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Peter Sackey
Associate professor
Principal Investigators
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Peter V Sackey, MD, PhD
Role: STUDY_CHAIR
Karolinska University Hospital
Francesca Campoccia Jalde, MD
Role: PRINCIPAL_INVESTIGATOR
Karolinska University Hospital
Locations
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Dept. Anesthesiology, Surgical Services and Intensive Care Medicine,Karolinska Univeristy Hospital
Stockholm, , Sweden
Countries
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Central Contacts
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Facility Contacts
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References
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Levine S, Nguyen T, Taylor N, Friscia ME, Budak MT, Rothenberg P, Zhu J, Sachdeva R, Sonnad S, Kaiser LR, Rubinstein NA, Powers SK, Shrager JB. Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans. N Engl J Med. 2008 Mar 27;358(13):1327-35. doi: 10.1056/NEJMoa070447.
Sinderby C, Navalesi P, Beck J, Skrobik Y, Comtois N, Friberg S, Gottfried SB, Lindstrom L. Neural control of mechanical ventilation in respiratory failure. Nat Med. 1999 Dec;5(12):1433-6. doi: 10.1038/71012. No abstract available.
Blankman P, Hasan D, van Mourik MS, Gommers D. Ventilation distribution measured with EIT at varying levels of pressure support and Neurally Adjusted Ventilatory Assist in patients with ALI. Intensive Care Med. 2013 Jun;39(6):1057-62. doi: 10.1007/s00134-013-2898-8. Epub 2013 Apr 4.
Liu L, Liu H, Yang Y, Huang Y, Liu S, Beck J, Slutsky AS, Sinderby C, Qiu H. Neuroventilatory efficiency and extubation readiness in critically ill patients. Crit Care. 2012 Jul 31;16(4):R143. doi: 10.1186/cc11451.
Grasselli G, Beck J, Mirabella L, Pesenti A, Slutsky AS, Sinderby C. Assessment of patient-ventilator breath contribution during neurally adjusted ventilatory assist. Intensive Care Med. 2012 Jul;38(7):1224-32. doi: 10.1007/s00134-012-2588-y. Epub 2012 May 15.
Liu L, Liu S, Xie J, Yang Y, Slutsky AS, Beck J, Sinderby C, Qiu H. Assessment of patient-ventilator breath contribution during neurally adjusted ventilatory assist in patients with acute respiratory failure. Crit Care. 2015 Feb 18;19(1):43. doi: 10.1186/s13054-015-0775-2.
Other Identifiers
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2015/521-31/4
Identifier Type: -
Identifier Source: org_study_id
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