Literature DB >> 15343011

Expiratory trigger setting in pressure support ventilation: from mathematical model to bedside.

Didier Tassaux1, Jean-Bernard Michotte, Marc Gainnier, Pierre Gratadour, Silvana Fonseca, Philippe Jolliet.   

Abstract

OBJECTIVE: To evaluate the feasibility of relying on a mathematical model to adjust the optimal level of expiratory trigger, materialized by the ratio of inspiratory flow at the end of inspiratory effort (V'ti) and peak inspiratory flow (V'peak), or V'ti/V'peak, during pressure support, by comparing its predicted values with those measured in intubated patients.
DESIGN: Prospective observational study.
SETTING: Medical intensive care unit, university hospital. PATIENTS: There were 28 intubated patients undergoing pressure support.
INTERVENTIONS: Pressure support as set by the clinician in charge.
MEASUREMENTS AND MAIN RESULTS: A significant correlation was found between predicted and measured V'ti/V'peak ratios (r =.70; p <.001; mean +/- sd difference, -0.025 +/- 0.07; 95% confidence interval, -0.161 to 0.111). Overall, delayed cycling occurred in obstructive conditions, the delay increasing as obstructive disease was more severe.
CONCLUSIONS: A significant correlation was observed between predicted values of V'ti/V'peak and those values measured in patients undergoing pressure support. These findings should stimulate further research into the possible applications of this mathematical model to optimize expiratory trigger setting. Furthermore, our findings suggest that expiratory trigger should be adjustable and provide a wider range of cutoff levels than that which is currently available.

Entities:  

Mesh:

Year:  2004        PMID: 15343011     DOI: 10.1097/01.ccm.0000138561.11634.6f

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  10 in total

1.  Performance of noninvasive ventilation modes on ICU ventilators during pressure support: a bench model study.

Authors:  Laurence Vignaux; Didier Tassaux; Philippe Jolliet
Journal:  Intensive Care Med       Date:  2007-06-12       Impact factor: 17.440

2.  ICU mechanical ventilators, technological advances vs. user friendliness: the right picture is worth a thousand numbers.

Authors:  Jean Christophe Marie Richard; Robert M Kacmarek
Journal:  Intensive Care Med       Date:  2009-07-29       Impact factor: 17.440

3.  Helium-oxygen decreases inspiratory effort and work of breathing during pressure support in intubated patients with chronic obstructive pulmonary disease.

Authors:  Didier Tassaux; Marc Gainnier; Anne Battisti; Philippe Jolliet
Journal:  Intensive Care Med       Date:  2005-09-20       Impact factor: 17.440

Review 4.  Bedside waveforms interpretation as a tool to identify patient-ventilator asynchronies.

Authors:  Dimitris Georgopoulos; George Prinianakis; Eumorfia Kondili
Journal:  Intensive Care Med       Date:  2005-11-09       Impact factor: 17.440

Review 5.  Clinical review: patient-ventilator interaction in chronic obstructive pulmonary disease.

Authors:  Philippe Jolliet; Didier Tassaux
Journal:  Crit Care       Date:  2006       Impact factor: 9.097

6.  Patient-ventilator asynchrony during non-invasive ventilation for acute respiratory failure: a multicenter study.

Authors:  Laurence Vignaux; Frédéric Vargas; Jean Roeseler; Didier Tassaux; Arnaud W Thille; Michel P Kossowsky; Laurent Brochard; Philippe Jolliet
Journal:  Intensive Care Med       Date:  2009-01-29       Impact factor: 17.440

7.  Patient-ventilator interaction during neurally adjusted ventilatory assist in low birth weight infants.

Authors:  Jennifer Beck; Maureen Reilly; Giacomo Grasselli; Lucia Mirabella; Arthur S Slutsky; Michael S Dunn; Christer Sinderby
Journal:  Pediatr Res       Date:  2009-06       Impact factor: 3.756

Review 8.  [Ventilation strategies for chronic obstructive pulmonary disease].

Authors:  M Stein; M Joannidis
Journal:  Med Klin Intensivmed Notfmed       Date:  2012-11       Impact factor: 0.840

9.  Healthcare Technology Management (HTM) of mechanical ventilators by clinical engineers.

Authors:  Jun Yoshioka; Masaki Nakane; Kaneyuki Kawamae
Journal:  J Intensive Care       Date:  2014-04-15

Review 10.  Patient-ventilator asynchronies: types, outcomes and nursing detection skills.

Authors:  Enrico Bulleri; Cristian Fusi; Stefano Bambi; Luigi Pisani
Journal:  Acta Biomed       Date:  2018-12-07
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.