Automatic adjustment of pressure support by a computer-driven knowledge-based system during noninvasive ventilation: a feasibility study.

Détails

ID Serval
serval:BIB_1CED3927E20D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Automatic adjustment of pressure support by a computer-driven knowledge-based system during noninvasive ventilation: a feasibility study.
Périodique
Intensive Care Medicine
Auteur(s)
Battisti A., Roeseler J., Tassaux D., Jolliet P.
ISSN
0342-4642 (Print)
ISSN-L
0342-4642
Statut éditorial
Publié
Date de publication
2006
Peer-reviewed
Oui
Volume
32
Numéro
10
Pages
1523-1528
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Résumé
OBJECTIVE: To evaluate the feasibility of using a knowledge-based system designed to automatically titrate pressure support (PS) to maintain the patient in a "respiratory comfort zone" during noninvasive ventilation (NIV) in patients with acute respiratory failure.
DESIGN AND SETTING: Prospective crossover interventional study in an intensive care unit of a university hospital.
PATIENTS: Twenty patients.
INTERVENTIONS: After initial NIV setting and startup in conventional PS by the chest physiotherapist NIV was continued for 45 min with the automated PS activated.
MEASUREMENTS AND RESULTS: During automated PS minute-volume was maintained constant while respiratory rate decreased significantly from its pre-NIV value (20+/-3 vs. 25+/-3 bpm). There was a trend towards a progressive lowering of dyspnea. In hypercapnic patients PaCO(2) decreased significantly from 61+/-9 to 51+/-2 mmHg, and pH increased significantly from 7.31+/-0.05 to 7.35+/-0.03. Automated PS was well tolerated. Two system malfunctions occurred prompting physiotherapist intervention.
CONCLUSIONS: The results of this feasibility study suggest that the system can be used during NIV in patients with acute respiratory failure. Further studies should now determine whether it can improve patient-ventilator interaction and reduce caregiver workload.
Mots-clé
Aged, Analysis of Variance, Cross-Over Studies, Feasibility Studies, Female, Humans, Intervention Studies, Male, Pressure, Prospective Studies, Respiration, Artificial/methods, Respiratory Insufficiency/physiopathology, Respiratory Insufficiency/therapy, Respiratory Mechanics, Therapy, Computer-Assisted
Pubmed
Web of science
Création de la notice
27/06/2013 15:27
Dernière modification de la notice
03/03/2018 14:33
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