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Published in: Journal of Clinical Monitoring and Computing 3/2019

01-06-2019 | Original Research

Reliability of cuff pressure gauges

Authors: Julien Raft, Anne-Sophie Lamotte, Bruno Maury, Isabelle Clerc-Urmès, Cédric Baumann, Philippe Richebé, Hervé Bouaziz

Published in: Journal of Clinical Monitoring and Computing | Issue 3/2019

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Abstract

Cuff pressure gauges are the only recommended instrument to perform controls on endotracheal tube cuff pressure during anesthesia. No calibration is mandatory for these devices. The aim of this study was to describe the level of conformity of various cuff pressure gauges. The single-center measurements were performed with a cuff pressure calibrator on all cuff pressure gauges that were usually used in the operating room. Seven measurements (repeat three times) on each cuff pressure gauges at different levels of pressures (i.e. 0, 10, 20, 27, 30, 40 and 50 cmH2O) were performed. Our homologation criteria were either the reliability of the leak test (value of cuff pressure gauges maintained at 120 cmH2O during 5 s) or the difference between the values of the cuff pressure tested and the calibrator below 1.3 cmH2O at the range of 20–30 cmH2O. A total of 567 measurements on 27 cuff pressure gauges were performed. Only 30% (n = 8/27) of the cuff pressure gauges reach our homologation criteria. 30% (n = 8/27) failed at the leak test. 48% (n = 13/27) of the cuff pressure gauges tested, had a calibration variation error > 1.3 cmH2O on the levels of pressure between 20 and 30 cmH2O. A minority of cuff pressure gauges went through our homologation criteria. These results demonstrate us that there is a real problem of the reliability and the follow-up of those medical devices. This study suggests to reinforce biomedical engineering control on these devices.
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Metadata
Title
Reliability of cuff pressure gauges
Authors
Julien Raft
Anne-Sophie Lamotte
Bruno Maury
Isabelle Clerc-Urmès
Cédric Baumann
Philippe Richebé
Hervé Bouaziz
Publication date
01-06-2019
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 3/2019
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-018-0188-2

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