Proportional modes of ventilation: technology to assist physiology.

Intensive Care Med

Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 209 Victoria Street, Room 4-08, Toronto, ON, M5B 1T8, Canada.

Published: December 2020

AI Article Synopsis

  • Proportional modes of ventilation, specifically NAVA and PAV+, adjust inspiratory support based on the patient's breathing effort, unlike traditional modes like pressure support ventilation (PSV).
  • These modes provide more personalized ventilation, allowing for self-adjusted support that protects the lungs and diaphragm.
  • The paper discusses the principles behind NAVA and PAV+, the challenges in setting inspiratory assist, and potential monitoring indices for evaluating patient effort in these modes.

Article Abstract

Proportional modes of ventilation assist the patient by adapting to his/her effort, which contrasts with all other modes. The two proportional modes are referred to as neurally adjusted ventilatory assist (NAVA) and proportional assist ventilation with load-adjustable gain factors (PAV+): they deliver inspiratory assist in proportion to the patient's effort, and hence directly respond to changes in ventilatory needs. Due to their working principles, NAVA and PAV+ have the ability to provide self-adjusted lung and diaphragm-protective ventilation. As these proportional modes differ from 'classical' modes such as pressure support ventilation (PSV), setting the inspiratory assist level is often puzzling for clinicians at the bedside as it is not based on usual parameters such as tidal volumes and PaCO targets. This paper provides an in-depth overview of the working principles of NAVA and PAV+ and the physiological differences with PSV. Understanding these differences is fundamental for applying any assisted mode at the bedside. We review different methods for setting inspiratory assist during NAVA and PAV+ , and (future) indices for monitoring of patient effort. Last, differences with automated modes are mentioned.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417783PMC
http://dx.doi.org/10.1007/s00134-020-06206-zDOI Listing

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