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The evaluation of a non-invasive respiratory monitor in ards patients in supine and prone position.
- Source :
-
Journal of clinical monitoring and computing [J Clin Monit Comput] 2024 Jun; Vol. 38 (3), pp. 671-677. Date of Electronic Publication: 2024 Mar 26. - Publication Year :
- 2024
-
Abstract
- Purpose: The Prone positioning in addition to non invasive respiratory support is commonly used in patients with acute respiratory failure. The aim of this study was to assess the accuracy of an impedance-based non-invasive respiratory volume monitor (RVM) in supine and in prone position.<br />Methods: In sedated, paralyzed and mechanically ventilated patients in volume-controlled mode with acute respiratory distress syndrome scheduled for prone positioning it was measured and compared non-invasively tidal volume and respiratory rate provided by the RVM in supine and, subsequently, in prone position, by maintaining unchanged the ventilatory setting.<br />Results: Forty patients were enrolled. No significant difference was found between measurements in supine and in prone position either for tidal volume (p = 0.795; p = 0.302) nor for respiratory rate (p = 0.181; p = 0.604). Comparing supine vs. prone position, the bias and limits of agreements for respiratory rate were 0.12 bpm (-1.4 to 1.6) and 20 mL (-80 to 120) for tidal volume.<br />Conclusions: The RVM is accurate in assessing tidal volume and respiratory rate in prone compared to supine position. Therefore, the RVM could be applied in non-intubated patients with acute respiratory failure receiving prone positioning to monitor respiratory function.<br /> (© 2024. The Author(s).)
- Subjects :
- Humans
Prone Position
Supine Position
Male
Female
Middle Aged
Monitoring, Physiologic methods
Monitoring, Physiologic instrumentation
Aged
Adult
Patient Positioning methods
Reproducibility of Results
Electric Impedance
Respiratory Distress Syndrome physiopathology
Respiratory Distress Syndrome therapy
Tidal Volume
Respiration, Artificial methods
Respiratory Rate
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2614
- Volume :
- 38
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of clinical monitoring and computing
- Publication Type :
- Academic Journal
- Accession number :
- 38530502
- Full Text :
- https://doi.org/10.1007/s10877-024-01147-0