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Synchronized mandibular movement and capnography: a novel approach to obstructive airway detection during procedural sedation-a post hoc analysis of a prospective study.

Authors :
Ponthieu N
Coeckelenbergh S
Engelman E
Tuna T
Van Obbergh L
Barvais L
Source :
Journal of clinical monitoring and computing [J Clin Monit Comput] 2019 Dec; Vol. 33 (6), pp. 1065-1070. Date of Electronic Publication: 2019 Jan 04.
Publication Year :
2019

Abstract

Perioperative complications related to obstructive sleep apnea still occur despite the use of partial pressure end-tidal CO <subscript>2</subscript> [Formula: see text] and pulse oximetry. Airway obstruction can complicate propofol sedation and a novel monitor combining mandibular movement analysis with capnography may facilitate its detection. Patients scheduled for sleep endoscopy were recruited and monitored with standard monitoring, [Formula: see text] and Jaw Activity (JAWAC) mandibular movement sensors. A post hoc analysis investigated airway obstruction prediction using a Respiratory Effort Sequential Detection Algorithm (RESDA) based on [Formula: see text] and mandibular movement signals. 21 patients were recruited and 54 episodes of airway obstruction occurred. RESDA detected obstructive apnea [mean ± SD (median)] 29 ± 29 (21) s, p < 0.0001, before [Formula: see text] alone. This prolonged the time between obstructive apnea detection and decrease to 90% oxygen saturation 64 ± 38 (54) versus 38 ± 20 (35) s, p < 0.0001. It predicted airway obstruction with a sensitivity and specificity of 81% and 93%, respectively. The RESDA algorithm, which is based on the combination of capnography with mandibular movement assessment of respiratory effort, can more rapidly alarm anesthetists of airway obstruction during propofol sedation than [Formula: see text] alone. However, [Formula: see text] pulse oximetry, and clinical monitoring are still required.Trial Registry numbers: ClinicalTrial.gov (NCT02909309) https://clinicaltrials.gov/ct2/show/NCT02909309 .

Details

Language :
English
ISSN :
1573-2614
Volume :
33
Issue :
6
Database :
MEDLINE
Journal :
Journal of clinical monitoring and computing
Publication Type :
Academic Journal
Accession number :
30610518
Full Text :
https://doi.org/10.1007/s10877-018-00250-3