Literature DB >> 23553568

Ventilation distribution measured with EIT at varying levels of pressure support and Neurally Adjusted Ventilatory Assist in patients with ALI.

Paul Blankman1, Djo Hasan, Martijn S van Mourik, Diederik Gommers.   

Abstract

PURPOSE: The purpose of this study was to compare the effect of varying levels of assist during pressure support (PSV) and Neurally Adjusted Ventilatory Assist (NAVA) on the aeration of the dependent and non-dependent lung regions by means of Electrical Impedance Tomography (EIT).
METHODS: We studied ten mechanically ventilated patients with Acute Lung Injury (ALI). Positive-End Expiratory Pressure (PEEP) and PSV levels were both 10 cm H₂O during the initial PSV step. Thereafter, we changed the inspiratory pressure to 15 and 5 cm H₂O during PSV. The electrical activity of the diaphragm (EAdi) during pressure support ten was used to define the initial NAVA gain (100 %). Thereafter, we changed NAVA gain to 150 and 50 %, respectively. After each step the assist level was switched back to PSV 10 cm H₂O or NAVA 100 % to get a new baseline. The EIT registration was performed continuously.
RESULTS: Tidal impedance variation significantly decreased during descending PSV levels within patients, whereas not during NAVA. The dorsal-to-ventral impedance distribution, expressed according to the center of gravity index, was lower during PSV compared to NAVA. Ventilation contribution of the dependent lung region was equally in balance with the non-dependent lung region during PSV 5 cm H₂O, NAVA 50 and 100 %.
CONCLUSION: Neurally Adjusted Ventilatory Assist ventilation had a beneficial effect on the ventilation of the dependent lung region and showed less over-assistance compared to PSV in patients with ALI.

Entities:  

Mesh:

Year:  2013        PMID: 23553568     DOI: 10.1007/s00134-013-2898-8

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  22 in total

1.  Position and shape of the diaphragm: implications for atelectasis formation.

Authors:  A Reber; U Nylund; G Hedenstierna
Journal:  Anaesthesia       Date:  1998-11       Impact factor: 6.955

2.  Inspiratory muscle unloading by neurally adjusted ventilatory assist during maximal inspiratory efforts in healthy subjects.

Authors:  Christer Sinderby; Jennifer Beck; Jadranka Spahija; Michel de Marchie; Jacques Lacroix; Paolo Navalesi; Arthur S Slutsky
Journal:  Chest       Date:  2007-03       Impact factor: 9.410

3.  Neurally adjusted ventilatory assist improves patient-ventilator interaction.

Authors:  Lise Piquilloud; Laurence Vignaux; Emilie Bialais; Jean Roeseler; Thierry Sottiaux; Pierre-François Laterre; Philippe Jolliet; Didier Tassaux
Journal:  Intensive Care Med       Date:  2010-09-25       Impact factor: 17.440

4.  Neurally triggered breaths reduce trigger delay and improve ventilator response times in ventilated infants with bronchiolitis.

Authors:  Katherine C Clement; Tracy L Thurman; Shirley J Holt; Mark J Heulitt
Journal:  Intensive Care Med       Date:  2011-09-23       Impact factor: 17.440

5.  Neurally adjusted ventilatory assist in patients recovering spontaneous breathing after acute respiratory distress syndrome: physiological evaluation.

Authors:  Nicolas Terzi; Iris Pelieu; Lydia Guittet; Michel Ramakers; Amélie Seguin; Cédric Daubin; Pierre Charbonneau; Damien du Cheyron; Frédéric Lofaso
Journal:  Crit Care Med       Date:  2010-09       Impact factor: 7.598

6.  Patient-ventilator interaction during pressure support ventilation and neurally adjusted ventilatory assist.

Authors:  Jadranka Spahija; Michel de Marchie; Martin Albert; Patrick Bellemare; Stéphane Delisle; Jennifer Beck; Christer Sinderby
Journal:  Crit Care Med       Date:  2010-02       Impact factor: 7.598

7.  Titration and implementation of neurally adjusted ventilatory assist in critically ill patients.

Authors:  Lukas Brander; Howard Leong-Poi; Jennifer Beck; Fabrice Brunet; Stuart J Hutchison; Arthur S Slutsky; Christer Sinderby
Journal:  Chest       Date:  2008-11-18       Impact factor: 9.410

8.  Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography.

Authors:  Eduardo L V Costa; João Batista Borges; Alexandre Melo; Fernando Suarez-Sipmann; Carlos Toufen; Stephan H Bohm; Marcelo B P Amato
Journal:  Intensive Care Med       Date:  2009-03-03       Impact factor: 17.440

9.  Bedside measurement of changes in lung impedance to monitor alveolar ventilation in dependent and non-dependent parts by electrical impedance tomography during a positive end-expiratory pressure trial in mechanically ventilated intensive care unit patients.

Authors:  Ido G Bikker; Steffen Leonhardt; Dinis Reis Miranda; Jan Bakker; Diederik Gommers
Journal:  Crit Care       Date:  2010-05-30       Impact factor: 9.097

10.  Asynchrony, neural drive, ventilatory variability and COMFORT: NAVA versus pressure support in pediatric patients. A non-randomized cross-over trial.

Authors:  Pedro de la Oliva; Cristina Schüffelmann; Ana Gómez-Zamora; Jesus Villar; Robert M Kacmarek
Journal:  Intensive Care Med       Date:  2012-04-06       Impact factor: 17.440

View more
  25 in total

1.  Neurally adjusted ventilatory assist: letting the respiratory center take over control of ventilation.

Authors:  Marcelo Gama de Abreu; F Javier Belda
Journal:  Intensive Care Med       Date:  2013-06-21       Impact factor: 17.440

2.  What's new in electrical impedance tomography.

Authors:  Tommaso Mauri; Alain Mercat; Giacomo Grasselli
Journal:  Intensive Care Med       Date:  2018-10-04       Impact factor: 17.440

3.  Year in review in Intensive Care Medicine 2013: II. Sedation, invasive and noninvasive ventilation, airways, ARDS, ECMO, family satisfaction, end-of-life care, organ donation, informed consent, safety, hematological issues in critically ill patients.

Authors:  Elie Azoulay; Giuseppe Citerio; Jan Bakker; Matteo Bassetti; Dominique Benoit; Maurizio Cecconi; J Randall Curtis; Glenn Hernandez; Margaret Herridge; Samir Jaber; Michael Joannidis; Laurent Papazian; Mark Peters; Pierre Singer; Martin Smith; Marcio Soares; Antoni Torres; Antoine Vieillard-Baron; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2014-01-24       Impact factor: 17.440

Review 4.  Electrical impedance tomography.

Authors:  Beatriz Lobo; Cecilia Hermosa; Ana Abella; Federico Gordo
Journal:  Ann Transl Med       Date:  2018-01

5.  Monitoring postoperative lung recovery using electrical impedance tomography in post anesthesia care unit: an observational study.

Authors:  Nadine Hochhausen; Torsten Kapell; Martin Dürbaum; Andreas Follmann; Rolf Rossaint; Michael Czaplik
Journal:  J Clin Monit Comput       Date:  2021-09-20       Impact factor: 1.977

6.  Diaphragm ultrasound as indicator of respiratory effort in critically ill patients undergoing assisted mechanical ventilation: a pilot clinical study.

Authors:  Michele Umbrello; Paolo Formenti; Daniela Longhi; Andrea Galimberti; Ilaria Piva; Angelo Pezzi; Giovanni Mistraletti; John J Marini; Gaetano Iapichino
Journal:  Crit Care       Date:  2015-04-13       Impact factor: 9.097

7.  Respiratory Variability during NAVA Ventilation in Children: Authors' Reply.

Authors:  Hau-Tieng Wu; Florent Baudin; Martin G Frasch; Guillaume Emeriaud
Journal:  Front Pediatr       Date:  2015-02-19       Impact factor: 3.418

8.  Neurally adjusted ventilatory assist feasibility during anaesthesia: A randomised crossover study of two anaesthetics in a large animal model.

Authors:  Francesca Campoccia Jalde; Fredrik Jalde; Peter V Sackey; Peter J Radell; Staffan Eksborg; Mats K E B Wallin
Journal:  Eur J Anaesthesiol       Date:  2016-04       Impact factor: 4.330

9.  Neurally adjusted ventilatory assist as a weaning mode for adults with invasive mechanical ventilation: a systematic review and meta-analysis.

Authors:  Xueyan Yuan; Xinxing Lu; Yali Chao; Jennifer Beck; Christer Sinderby; Jianfeng Xie; Yi Yang; Haibo Qiu; Ling Liu
Journal:  Crit Care       Date:  2021-06-29       Impact factor: 9.097

10.  Detection of 'best' positive end-expiratory pressure derived from electrical impedance tomography parameters during a decremental positive end-expiratory pressure trial.

Authors:  Paul Blankman; Djo Hasan; Groot Erik; Diederik Gommers
Journal:  Crit Care       Date:  2014-05-10       Impact factor: 9.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.