dc.creatorFerreira, João Carlos
dc.creatorSilva, Fabia Diniz
dc.creatorMoriya, Henrique Takachi
dc.creatorAlencar, Adriano Mesquita
dc.creatorAmato, Marcelo Britto Passos
dc.creatorCarvalho, Carlos Roberto Ribeiro de
dc.date.accessioned2014-03-19T13:04:34Z
dc.date.accessioned2018-07-04T16:44:40Z
dc.date.available2014-03-19T13:04:34Z
dc.date.available2018-07-04T16:44:40Z
dc.date.created2014-03-19T13:04:34Z
dc.date.issued2013
dc.identifierAmerican Thoracic Society Journals, New York, v.187, p.A1120, 2013.
dc.identifierhttp://www.producao.usp.br/handle/BDPI/44196
dc.identifierhttp://www.atsjournals.org/doi/pdf/10.1164/ajrccm-conference.2013.187.1_MeetingAbstracts.A1120
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1639769
dc.description.abstractRationale: NAVA is an assisted ventilatory mode that uses the electrical activity of the diaphragm (Edi) to trigger and cycle the ventilator, and to offer inspiratory assistance in proportion to patient effort. Since Edi varies from breath to breath, airway pressure and tidal volume also vary according to the patient's breathing pattern. Our objective was to compare the variability of NAVA with PSV in mechanically ventilated patients during the weaning phase. Methods: We analyzed the data collected for a clinical trial that compares PSV and NAVA during spontaneous breathing trials using PSV, with PS of 5 cmH2O, and NAVA, with Nava level titrated to generate a peak airway pressure equivalent to PSV of 5 cmH2O (NCT01137271). We captured flow, airway pressure and Edi at 100Hz from the ventilator using a dedicated software (Servo Tracker v2, Maquet, Sweden), and processed the cycles using a MatLab (Mathworks, USA) code. The code automatically detects the tidal volume (Vt), respiratory rate (RR), Edi and Airway pressure (Paw) on a breath-by-breath basis for each ventilatory mode. We also calculated the coefficient of variation (standard deviation, SD, divided by the mean). Results: We analyzed data from eleven patients. The mean Vt was similar on both modes (370 ±70 for Nava and 347± 77 for PSV), the RR was 26±6 for Nava and 26±7 or PSV. Paw was higher for Nava than for PSV (14±1 vs 11±0.4, p=0.0033), and Edi was similar for both modes (12±8 for Nava and 11±6 for PSV). The variability of the respiratory pattern, assessed with the coefficient of variation, was larger for Nava than for PSV for the Vt ( 23%±1% vs 15%±1%, p=0.03) and Paw (17%±1% vs 1% ±0.1%, p=0.0033), but not for RR (21% ±1% vs 16% ±8%, p=0.050) or Edi (33%±14% vs 39% ±16%,p=0.07). Conclusion: The variability of the breathing pattern is high during spontaneous breathing trials independent of the ventilatory mode. This variability results in variability of airway pressure and tidal volume, which are higher on Nava than on PSV. Our results suggest that Nava better reflects the normal variability of the breathing pattern during assisted mechanical ventilation.
dc.languageeng
dc.publisherATS Journals
dc.publisherNova Iorque
dc.relationAmerican Thoracic Society Jounals
dc.rightsAmerican Thoracic Society
dc.rightsrestrictedAccess
dc.subjectNeurally-adjusted ventilatory assist
dc.subjectPressure support ventilation
dc.subjectWeaning phase of mechanical ventilation
dc.titleVariability of neurally-adjusted ventilatory assist (nava) compared to pressure support ventilation (psv) during the weaning phase of mechanical ventilation.
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución