Literature DB >> 23463162

Elucidating the fuzziness in physician decision making in ARDS.

David B Bernstein1, Binh Nguyen, Gilman B Allen, Jason H T Bates.   

Abstract

The current standard of care for patients suffering from acute respiratory distress syndrome (ARDS) is ventilation with a tidal volume of 6 ml/kg predicted body weight (PBW), but variability remains in the tidal volumes that are actually used. This study aims to identify patient scenarios for which there is discordance between physicians in choice of tidal volume and positive end-expiratory pressure (PEEP) in ARDS patients. We developed an algorithm based on fuzzy logic for encapsulating the expertise of individual physicians regarding their use of tidal volume and PEEP in ARDS patients. The algorithm uses three input measurements: (1) peak airway pressure (PAP), (2) PEEP, and (3) arterial oxygen saturation (SaO₂). It then generates two output parameters: (1) the deviation of tidal volume from 6 ml/kg PBW, and (2) the change in PEEP from its current value. We captured 6 realizations of intensivist expertise in this algorithm and assessed their degree of concordance using a Monte Carlo simulation. Variability in the tidal volume recommended by the algorithm increased for PAP > 30 cmH₂O and PEEP > 5 cmH₂O. Tidal volume variability decreased for SaO₂ > 90 %. Variability in the recommended change in PEEP increased for PEEP > 5 cmH₂O and for SaO₂ near 90 %. Intensivists vary in their management of ARDS patients when peak airway pressures and PEEP are high, suggesting that the current goal of 6 ml/kg PBW may need to be revisited under these conditions.

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Year:  2013        PMID: 23463162      PMCID: PMC3656147          DOI: 10.1007/s10877-013-9449-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  24 in total

Review 1.  On the use and usefulness of fuzzy sets in medical AI.

Authors:  F Steimann
Journal:  Artif Intell Med       Date:  2001 Jan-Mar       Impact factor: 5.326

Review 2.  Applying fuzzy logic to medical decision making in the intensive care unit.

Authors:  Jason H T Bates; Michael P Young
Journal:  Am J Respir Crit Care Med       Date:  2003-04-01       Impact factor: 21.405

3.  Potential reasons why physicians underuse lung-protective ventilation: a retrospective cohort study using physician documentation.

Authors:  Mark E Mikkelsen; Pali M Dedhiya; Ravi Kalhan; Robert J Gallop; Paul N Lanken; Barry D Fuchs
Journal:  Respir Care       Date:  2008-04       Impact factor: 2.258

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Authors:  Roy G Brower; Michael A Matthay; Alan Morris; David Schoenfeld; B Taylor Thompson; Arthur Wheeler
Journal:  N Engl J Med       Date:  2000-05-04       Impact factor: 91.245

5.  Variability in usual care mechanical ventilation for pediatric acute lung injury: the potential benefit of a lung protective computer protocol.

Authors:  Robinder G Khemani; Katherine Sward; Alan Morris; J Michael Dean; Christopher J L Newth
Journal:  Intensive Care Med       Date:  2011-10-01       Impact factor: 17.440

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Authors:  B W Holcomb; A P Wheeler; E W Ely
Journal:  Curr Opin Crit Care       Date:  2001-08       Impact factor: 3.687

7.  Variability of preference toward mechanical ventilator settings: a model-based behavioral analysis.

Authors:  Charlotte Allerød; Dan S Karbing; Per Thorgaard; Steen Andreassen; Søren Kjærgaard; Stephen E Rees
Journal:  J Crit Care       Date:  2011-03-30       Impact factor: 3.425

8.  Positive end-expiratory pressure setting in adults with acute lung injury and acute respiratory distress syndrome: a randomized controlled trial.

Authors:  Alain Mercat; Jean-Christophe M Richard; Bruno Vielle; Samir Jaber; David Osman; Jean-Luc Diehl; Jean-Yves Lefrant; Gwenaël Prat; Jack Richecoeur; Ania Nieszkowska; Claude Gervais; Jérôme Baudot; Lila Bouadma; Laurent Brochard
Journal:  JAMA       Date:  2008-02-13       Impact factor: 56.272

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Authors:  Richard H Kallet
Journal:  Respir Care       Date:  2004-07       Impact factor: 2.258

10.  Barriers to providing lung-protective ventilation to patients with acute lung injury.

Authors:  Gordon D Rubenfeld; Claudette Cooper; Greg Carter; B Taylor Thompson; Leonard D Hudson
Journal:  Crit Care Med       Date:  2004-06       Impact factor: 7.598

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  2 in total

Review 1.  The role of computer-based clinical decision support systems to deliver protective mechanical ventilation.

Authors:  Robinder G Khemani; Justin C Hotz; Katherine A Sward; Christopher J L Newth
Journal:  Curr Opin Crit Care       Date:  2020-02       Impact factor: 3.687

2.  Controlling mechanical ventilation in acute respiratory distress syndrome with fuzzy logic.

Authors:  Binh Nguyen; David B Bernstein; Jason H T Bates
Journal:  J Crit Care       Date:  2014-03-21       Impact factor: 3.425

  2 in total

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