Literature DB >> 23673092

Computer-driven automated weaning reduces weaning duration in difficult-to-wean patients.

Ling Liu1, Xiao-Ting Xu, Yi Yang, Ying-Zi Huang, Song-Qiao Liu, Hai-Bo Qiu.   

Abstract

BACKGROUND: Weaning difficulties occur in 31% of total intubated patients, and result in prolonged weaning duration. A computer-driven automated weaning system can perform a spontaneous breathing trial (SBT) automatically and display a message when the trial is successfully passed. Such a system might have a beneficial effect on difficult-to-wean patients. The aim of this study was to examine whether the computer-driven automated weaning system can accelerate discontinuation of mechanical ventilation and improve outcomes in difficult-to-wean patients.
METHODS: This randomized controlled study included 39 difficult-to-wean patients who failed their first spontaneous breathing trial. Before initiating weaning, eligible patients were randomly allocated to wean by computer-driven automated weaning system (CDW group, n = 19) or a physician-controlled local protocol (PW group, n = 20). Weaning duration, defined as the time from inclusion until first extubation, was the primary endpoint. Secondary endpoints were total duration of mechanical ventilation, the length of intensive care unit (ICU) stay, the number of reintubations, the mortality rate in the ICU, the number of noninvasive ventilations, the number of complications in the ICU, and the number of ventilator-associated pneumonia cases.
RESULTS: The weaning duration was reduced with the computer-driven weaning as compared with the usual protocol (median 29.0 hours vs. 45.5 hours, P = 0.044). Total duration of mechanical ventilation and duration of the ICU stay did not differ between the CDW and PW groups. There was no difference in the number of reintubations between the CDW and PW groups (3 and 4 patients, P = 0.732). The study groups showed comparable numbers of tracheostomy, self-extubations, ventilator-associated pneumonia, and non-invasive ventilation. Mortality in the ICU was similar in the CDW and the PW groups (21.1% vs. 20.0%, P = 0.935).
CONCLUSION: The computer-driven automated weaning system can reduce weaning duration in difficult-to-wean patients as compared with a physician-controlled weaning protocol.

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Year:  2013        PMID: 23673092

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  6 in total

Review 1.  Protocolized versus non-protocolized weaning for reducing the duration of mechanical ventilation in critically ill adult patients.

Authors:  Bronagh Blackwood; Karen E A Burns; Chris R Cardwell; Peter O'Halloran
Journal:  Cochrane Database Syst Rev       Date:  2014-11-06

Review 2.  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 3.  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

4.  Smart Care™ versus respiratory physiotherapy-driven manual weaning for critically ill adult patients: a randomized controlled trial.

Authors:  Corinne Taniguchi; Elivane S Victor; Talita Pieri; Renata Henn; Carolina Santana; Erica Giovanetti; Cilene Saghabi; Karina Timenetsky; Raquel Caserta Eid; Eliezer Silva; Gustavo F J Matos; Guilherme P P Schettino; Carmen S V Barbas
Journal:  Crit Care       Date:  2015-06-11       Impact factor: 9.097

Review 5.  The optimum timing to wean invasive ventilation for patients with AECOPD or COPD with pulmonary infection.

Authors:  Yuanlin Song; Rongchang Chen; Qingyuan Zhan; Shujing Chen; Zujin Luo; Jiaxian Ou; Chen Wang
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-03-14

6.  Fully automated life support: an implementation and feasibility pilot study in healthy pigs.

Authors:  Wilfried Klingert; Jörg Peter; Christian Thiel; Karolin Thiel; Wolfgang Rosenstiel; Kathrin Klingert; Christian Grasshoff; Alfred Königsrainer; Martin Schenk
Journal:  Intensive Care Med Exp       Date:  2018-01-16
  6 in total

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