Literature DB >> 8727432

The automatic selection of ventilation parameters during the initial phase of mechanical ventilation.

T P Laubscher1, A Frutiger, S Fanconi, J X Brunner.   

Abstract

OBJECTIVE: To test a method that allows automatic set-up of the ventilator controls at the onset of ventilation.
DESIGN: Prospective randomized crossover study.
SETTING: ICUs in one adult and one children's hospital in Switzerland. PATIENTS: Thirty intubated stable, critically ill patients (20 adults and 10 children).
INTERVENTIONS: The patients were ventilated during two 20-min periods using a modified Hamilton AMADEUS ventilator. During the control period the ventilator settings were chosen immediately prior to the study. During the other period individual settings were automatically determined by the ventilatior (AutoInit). MEASUREMENTS AND
RESULTS: Pressure, flow, and instantaneous CO2 concentration were measured at the airway opening. From these measurements, series dead space (V(DS)), expiratory time constant (RC), tidal volume (VT, total respiratory frequency (f(tot), minute ventilation (MV), and maximal and mean airway pressure (Paw, max and Paw, mean) were calculated. Arterial blood gases were analyzed at the end of each period. Paw, max was significantly less with the AutoInit ventilator settings while f(tot) was significantly greater (P < 0.05). The other values were not statistically significant.
CONCLUSIONS: The AutoInit ventilator settings, which were automatically derived, were acceptable for all patients for a period of 20 min and were not found to be inferior to the control ventilator settings. This makes the AutoInit method potentially useful as an automatic start-up procedure for mechanical ventilation.

Entities:  

Mesh:

Year:  1996        PMID: 8727432     DOI: 10.1007/BF01712237

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


  32 in total

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Authors:  T D East; D R Westenskow; N L Pace; L D Nelson
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7.  A microprocessor based feedback controller for mechanical ventilation.

Authors:  K B Ohlson; D R Westenskow; W S Jordan
Journal:  Ann Biomed Eng       Date:  1982       Impact factor: 3.934

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Authors:  M Younes
Journal:  Am Rev Respir Dis       Date:  1992-01

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Authors:  M Younes; A Puddy; D Roberts; R B Light; A Quesada; K Taylor; L Oppenheimer; H Cramp
Journal:  Am Rev Respir Dis       Date:  1992-01

10.  A knowledge-based system for assisted ventilation of patients in intensive care units.

Authors:  M Dojat; L Brochard; F Lemaire; A Harf
Journal:  Int J Clin Monit Comput       Date:  1992-12
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  2 in total

1.  Advanced modes of mechanical ventilation and optimal targeting schemes.

Authors:  Matthias van der Staay; Robert L Chatburn
Journal:  Intensive Care Med Exp       Date:  2018-08-22

2.  Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation.

Authors:  Eduardo Mireles-Cabodevila; Enrique Diaz-Guzman; Alejandro C Arroliga; Robert L Chatburn
Journal:  Crit Care Res Pract       Date:  2012-10-15
  2 in total

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