Literature DB >> 18715670

A decision support system for suggesting ventilator settings: retrospective evaluation in cardiac surgery patients ventilated in the ICU.

Charlotte Allerød1, Stephen E Rees, Bodil S Rasmussen, Dan S Karbing, Søren Kjaergaard, Per Thorgaard, Steen Andreassen.   

Abstract

Selecting appropriate ventilator settings decreases the risk of ventilator-induced lung injury. A decision support system (DSS) has been developed based on physiological models, which can advise on setting of tidal volume (Vt), respiratory frequency (f) and fraction of inspired oxygen (FiO2). The aim of this study is to assess the feasibility of the DSS by comparing its advice with the values used in clinical practice. Data from 20 patients following uncomplicated coronary artery bypass grafting (CABG) with cardiopulmonary bypass was used to test the DSS. Ventilator settings suggested by the DSS were compared to the settings selected by the clinician. When compared to the clinician the DSS suggested: lowering FiO2 (by median 7%, range 2-17%) at high SpO2 and increasing FiO2 (by median 2%, range 1-5%) at low SpO2; lowering ventilation volume (by median 0.57 l min(-1), range 0.2-1.1 l min(-1)) at high pHa and increasing ventilation volume (by median 0.4 l min(-1), range 0.1-0.9 l min(-1)) at low pHa. Suggested changes in ventilation volume were such that simulated values of PIP were < or = 22.9 cmH2O and respiratory frequency < or = 18 breaths min(-1). In all cases, computer suggested values of FiO2, Vt or f were consistent with maintaining sufficient oxygenation, normalising pH and obtaining low values of PIP.

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Year:  2008        PMID: 18715670     DOI: 10.1016/j.cmpb.2008.07.001

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  5 in total

1.  Retrospective evaluation of a decision support system for controlled mechanical ventilation.

Authors:  Dan S Karbing; Charlotte Allerød; Lars P Thomsen; Kurt Espersen; Per Thorgaard; Steen Andreassen; Søren Kjærgaard; Stephen E Rees
Journal:  Med Biol Eng Comput       Date:  2011-11-22       Impact factor: 2.602

2.  Mathematical modelling of the acid-base chemistry and oxygenation of blood: a mass balance, mass action approach including plasma and red blood cells.

Authors:  Stephen Edward Rees; Elise Klaestrup; Jonathan Handy; Steen Andreassen; Søren Risom Kristensen
Journal:  Eur J Appl Physiol       Date:  2009-10-16       Impact factor: 3.078

3.  A decision support system to determine optimal ventilator settings.

Authors:  Fatma Patlar Akbulut; Erkan Akkur; Aydin Akan; B Siddik Yarman
Journal:  BMC Med Inform Decis Mak       Date:  2014-01-10       Impact factor: 2.796

4.  Feasibility and reliability of an automated controller of inspired oxygen concentration during mechanical ventilation.

Authors:  Kaouther Saihi; Jean-Christophe M Richard; Xavier Gonin; Thomas Krüger; Michel Dojat; Laurent Brochard
Journal:  Crit Care       Date:  2014-02-19       Impact factor: 9.097

5.  Intensive Care Weaning (iCareWean) protocol on weaning from mechanical ventilation: a single-blinded multicentre randomised control trial comparing an open-loop decision support system and routine care, in the general intensive care unit.

Authors:  M P Vizcaychipi; Laura Martins; James R White; Dan Stleper Karbing; Amandeep Gupta; Suveer Singh; Leyla Osman; Jeronimo Moreno-Cuesta; Steve Rees
Journal:  BMJ Open       Date:  2020-09-02       Impact factor: 2.692

  5 in total

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