Literature DB >> 23361631

Weaning children from mechanical ventilation with a computer-driven protocol: a pilot trial.

Philippe A Jouvet1, Valérie Payen, France Gauvin, Guillaume Emeriaud, Jacques Lacroix.   

Abstract

PURPOSE: Duration of weaning from mechanical ventilation is decreased with the use of written protocols in adults. In children, the use of written protocols has not had such an impact. METHODS AND MEASUREMENTS: We conducted a single-center trial to assess the feasibility of conducting a multicenter randomized clinical trial comparing the duration of weaning from mechanical ventilation in those managed by a computer-driven explicit protocol versus usual care. Mechanically ventilated children aged between 2 and 17 years on pressure support and not receiving inotropes were included. After randomization, children were weaned either by usual care (n = 15) that was characterized by no protocolized decisions by attending physicians, or by a computer-driven protocol (Smartcare/PS™, Drager Medical) (n = 15). Weaning duration until first extubation was the primary outcome. For comparison, a Mann-Whitney U test was employed (p < 0.05).
RESULTS: Patients characteristics at inclusion were similar. The median duration of weaning was 21 h (range 3-142 h) in the SmartCare/PS™ group and 90 h (range 4-552 h) in the usual care group, p = 0.007. The rate of reintubation within 48 h after extubation and the rate of noninvasive ventilation after extubation in the SmartCare/PS™ and usual care groups were 2/15 versus 1/15 and 2/15 versus 2/15, respectively.
CONCLUSIONS: A pediatric randomized trial on mechanical ventilation with a computerized protocol in North America is feasible. A computer-driven protocol that also manages children younger than 2 years old would help to decrease the number of PICU admissions screened in a multicentre trial on this topic.

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Year:  2013        PMID: 23361631     DOI: 10.1007/s00134-013-2837-8

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


  26 in total

1.  Effects of a knowledge-based electronic patient record in adherence to practice guidelines.

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Journal:  MD Comput       Date:  1996 Jan-Feb

2.  Protocols to improve the care of critically ill pediatric and adult patients.

Authors:  Maureen O Meade; E Wesley Ely
Journal:  JAMA       Date:  2002-11-27       Impact factor: 56.272

Review 3.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

4.  A comparison of two methods to perform a breathing trial before extubation in pediatric intensive care patients.

Authors:  J A Farias; A Retta; I Alía; F Olazarri; A Esteban; A Golubicki; D Allende; O Maliarchuk; C Peltzer; M E Ratto; R Zalazar; M Garea; E G Moreno
Journal:  Intensive Care Med       Date:  2001-10       Impact factor: 17.440

5.  Rapidly progressive diaphragmatic weakness and injury during mechanical ventilation in humans.

Authors:  Samir Jaber; Basil J Petrof; Boris Jung; Gérald Chanques; Jean-Philippe Berthet; Christophe Rabuel; Hassan Bouyabrine; Patricia Courouble; Christelle Koechlin-Ramonatxo; Mustapha Sebbane; Thomas Similowski; Valérie Scheuermann; Alexandre Mebazaa; Xavier Capdevila; Dominique Mornet; Jacques Mercier; Alain Lacampagne; Alexandre Philips; Stefan Matecki
Journal:  Am J Respir Crit Care Med       Date:  2010-09-02       Impact factor: 21.405

6.  Risk factors associated with increased length of mechanical ventilation in children.

Authors:  Valérie Payen; Philippe Jouvet; Jacques Lacroix; Thierry Ducruet; France Gauvin
Journal:  Pediatr Crit Care Med       Date:  2012-03       Impact factor: 3.624

7.  Developing and implementing computerized protocols for standardization of clinical decisions.

Authors:  A H Morris
Journal:  Ann Intern Med       Date:  2000-03-07       Impact factor: 25.391

8.  Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously.

Authors:  E W Ely; A M Baker; D P Dunagan; H L Burke; A C Smith; P T Kelly; M M Johnson; R W Browder; D L Bowton; E F Haponik
Journal:  N Engl J Med       Date:  1996-12-19       Impact factor: 91.245

9.  Validation of the paediatric logistic organ dysfunction (PELOD) score: prospective, observational, multicentre study.

Authors:  Stéphane Leteurtre; Alain Martinot; Alain Duhamel; François Proulx; Bruno Grandbastien; Jacques Cotting; Ronald Gottesman; Ari Joffe; Jurg Pfenninger; Philippe Hubert; Jacques Lacroix; Francis Leclerc
Journal:  Lancet       Date:  2003-07-19       Impact factor: 79.321

10.  A randomised, controlled trial of conventional versus automated weaning from mechanical ventilation using SmartCare/PS.

Authors:  Louise Rose; Jeffrey J Presneill; Linda Johnston; John F Cade
Journal:  Intensive Care Med       Date:  2008-06-25       Impact factor: 17.440

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  14 in total

1.  Closed loop mechanical ventilation.

Authors:  Marc Wysocki; Philippe Jouvet; Samir Jaber
Journal:  J Clin Monit Comput       Date:  2013-04-07       Impact factor: 2.502

2.  How to manage ventilation in pediatric acute respiratory distress syndrome?

Authors:  Martin C J Kneyber; Philippe A Jouvet; Peter C Rimensberger
Journal:  Intensive Care Med       Date:  2014-09-20       Impact factor: 17.440

Review 3.  Factors that impact on the use of mechanical ventilation weaning protocols in critically ill adults and children: a qualitative evidence-synthesis.

Authors:  Joanne Jordan; Louise Rose; Katie N Dainty; Jane Noyes; Bronagh Blackwood
Journal:  Cochrane Database Syst Rev       Date:  2016-10-04

Review 4.  Automated versus non-automated weaning for reducing the duration of mechanical ventilation for critically ill adults and children.

Authors:  Louise Rose; Marcus J Schultz; Chris R Cardwell; Philippe Jouvet; Danny F McAuley; Bronagh Blackwood
Journal:  Cochrane Database Syst Rev       Date:  2014-06-10

Review 5.  Computerized decision support in adult and pediatric critical care.

Authors:  Cydni N Williams; Susan L Bratton; Eliotte L Hirshberg
Journal:  World J Crit Care Med       Date:  2013-11-04

6.  Pediatric extubation readiness tests should not use pressure support.

Authors:  Robinder G Khemani; Justin Hotz; Rica Morzov; Rutger C Flink; Asvari Kamerkar; Marie LaFortune; Gerrard F Rafferty; Patrick A Ross; Christopher J L Newth
Journal:  Intensive Care Med       Date:  2016-06-18       Impact factor: 17.440

Review 7.  Protocolized versus non-protocolized weaning for reducing the duration of invasive mechanical ventilation in critically ill paediatric patients.

Authors:  Bronagh Blackwood; Maeve Murray; Anthony Chisakuta; Chris R Cardwell; Peter O'Halloran
Journal:  Cochrane Database Syst Rev       Date:  2013-07-31

Review 8.  Automated versus non-automated weaning for reducing the duration of mechanical ventilation for critically ill adults and children: a cochrane systematic review and meta-analysis.

Authors:  Louise Rose; Marcus J Schultz; Chris R Cardwell; Philippe Jouvet; Danny F McAuley; Bronagh Blackwood
Journal:  Crit Care       Date:  2015-02-24       Impact factor: 9.097

9.  Effect of a Sedation and Ventilator Liberation Protocol vs Usual Care on Duration of Invasive Mechanical Ventilation in Pediatric Intensive Care Units: A Randomized Clinical Trial.

Authors:  Bronagh Blackwood; Lyvonne N Tume; Kevin P Morris; Mike Clarke; Clíona McDowell; Karla Hemming; Mark J Peters; Lisa McIlmurray; Joanne Jordan; Ashley Agus; Margaret Murray; Roger Parslow; Timothy S Walsh; Duncan Macrae; Christina Easter; Richard G Feltbower; Daniel F McAuley
Journal:  JAMA       Date:  2021-08-03       Impact factor: 56.272

10.  The implausibility of 'usual care' in an open system: sedation and weaning practices in Paediatric Intensive Care Units (PICUs) in the United Kingdom (UK).

Authors:  Bronagh Blackwood; Lyvonne Tume
Journal:  Trials       Date:  2015-07-31       Impact factor: 2.279

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