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

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Battisti, Anne Roeseler, Jean [UCL] Tassaux, Didier Jolliet, Philippe

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 PaCO2 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. © 2006 Springer-Verlag.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2006
Language Anglais
Journal information "Intensive Care Medicine" - Vol. 32, no. 10, p. 1523-1528 (2006)
Peer reviewed yes
Publisher Springer
e-issn 1432-1238
issn 0342-4642
Publication status Publié
Affiliation UCL - (SLuc) Département de médecine aiguë
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Bibliographic reference Battisti, Anne ; Roeseler, Jean ; Tassaux, Didier ; Jolliet, Philippe. Automatic adjustment of pressure support by a computer-driven knowledge-based system during noninvasive ventilation: A feasibility study. In: Intensive Care Medicine, Vol. 32, no. 10, p. 1523-1528 (2006)
Permanent URL http://hdl.handle.net/2078.1/164669