Literature DB >> 16132889

Computer-driven management of prolonged mechanical ventilation and weaning: a pilot study.

Lila Bouadma1, François Lellouche, Belen Cabello, Solenne Taillé, Jordi Mancebo, Michel Dojat, Laurent Brochard.   

Abstract

OBJECTIVE: To evaluate the ability of a computer-driven system (CDS) to manage pressure-support ventilation over prolonged periods and to predict weaning readiness compared to intensivists. The system continuously adapts pressure support, gradually decreases ventilatory assistance when possible, and indicates weaning readiness. DESIGN AND
SETTING: A two-center, prospective, open, clinical, pilot study in medical ICUs of two university hospitals. PATIENTS AND PARTICIPANTS: 42 consecutive mechanically ventilated patients (60+/-14 years, SAPS II 39+/-15), 9 of whom were excluded.
INTERVENTIONS: As soon as patients could tolerate pressure support, they were ventilated with the CDS. The times of weaning readiness determined by the intensivists and CDS were compared. MEASUREMENTS AND
RESULTS: Weaning was successful in 25 patients and failed in 7; unplanned extubation occurred in 1 patient. Time on CDS ventilation was 3+/-3 days (maximum, 12 days). The CDS detected weaning readiness earlier than the intensivists in 17 patients, and intensivists earlier than the CDS in 4; in 11 patients detection times coincided.
CONCLUSIONS: A CDS was successful in fully managing pressure-support ventilation over prolonged periods and often proposed weaning readiness earlier than the intensivists did. Use of this CDS may reduce the duration of mechanical ventilation.

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Year:  2005        PMID: 16132889     DOI: 10.1007/s00134-005-2766-2

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


  21 in total

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1.  Using physiological models and decision theory for selecting appropriate ventilator settings.

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Journal:  Intensive Care Med       Date:  2006-06-28       Impact factor: 17.440

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Journal:  Intensive Care Med       Date:  2008-06-03       Impact factor: 17.440

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Authors:  Hasan M Al-Dorzi; Hani M Tamim; Antoine Cherfan; Mohamad A Hassan; Saadi Taher; Yaseen M Arabi
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  10 in total

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