192
Views
17
CrossRef citations to date
0
Altmetric
Original Research

Mandibular Movements are a Reliable Noninvasive Alternative to Esophageal Pressure for Measuring Respiratory Effort in Patients with Sleep Apnea Syndrome

ORCID Icon, , , , ORCID Icon, & ORCID Icon show all
Pages 635-644 | Published online: 13 Apr 2022

References

  • Berry RB, Brooks R, Gamaldo C, et al. AASM scoring manual updates for 2017 (version 2.4). J Clin Sleep Med. 2017;13(5):665–666. doi:10.5664/jcsm.6576
  • Berry RB, Budhiraja R, Gottlieb DJ, et al. Rules for scoring respiratory events in sleep: update of the 2007 AASM manual for the scoring of sleep and associated events. Deliberations of the sleep apnea definitions task force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2012;8(5):597–619. doi:10.5664/jcsm.2172
  • Malhotra A, Mesarwi O, Pepin JL, Owens RL. Endotypes and phenotypes in obstructive sleep apnea. Curr Opin Pulm Med. 2020;26(6):609–614. doi:10.1097/mcp.0000000000000724
  • Martinot JB, Le-dong NN, Cuthbert V, et al. Respiratory mandibular movement signals reliably identify obstructive hypopnea events during sleep. Front Neurol. 2019;10:828. doi:10.3389/fneur.2019.00828
  • Randerath W. It’s possible: why don’t we do it? J Clin Sleep Med. 2021;17(6):1149–1150. doi:10.5664/jcsm.9322
  • Dupuy-McCauley KL, Mudrakola HV, Colaco B, Arunthari V, Slota KA, Morgenthaler TI. A comparison of 2 visual methods for classifying obstructive vs central hypopneas. J Clin Sleep Med. 2021;17(6):1157–1165. doi:10.5664/jcsm.9140
  • Randerath WJ, Treml M, Priegnitz C, Stieglitz S, Hagmeyer L, Morgenstern C. Evaluation of a noninvasive algorithm for differentiation of obstructive and central hypopneas. Sleep. 2013;36(3):363–368. doi:10.5665/sleep.2450
  • Vandenbussche NL, Overeem S, van Dijk JP, Simons PJ, Pevernagie DA. Assessment of respiratory effort during sleep: esophageal pressure versus noninvasive monitoring techniques. Sleep Med Rev. 2015;24:28–36. doi:10.1016/j.smrv.2014.12.006
  • Koutsourelakis I, Vagiakis E, Roussos C, Zakynthinos S. Obstructive sleep apnoea and oral breathing in patients free of nasal obstruction. Eur Respir J. 2006;28(6):1222–1228. doi:10.1183/09031936.00058406
  • Le-dong NN, Martinot JB, Coumans N, et al. Machine learning-based sleep staging in sleep apnea patients using a single mandibular movement signal. Am J Respir Crit Care Med. 2021;204(10):1227–1231. doi:10.1164/rccm.202103-0680LE
  • Martinot JB, Le-dong NN, Cuthbert V, et al. Mandibular movements as accurate reporters of respiratory effort during sleep: validation against diaphragmatic electromyography. Front Neurol. 2017;8:353. doi:10.3389/fneur.2017.00353
  • Pépin JL, Letesson C, Le-dong NN, et al. Assessment of mandibular movement monitoring with machine learning analysis for the diagnosis of obstructive sleep apnea. JAMA Netw Open. 2020;3(1):e1919657. doi:10.1001/jamanetworkopen.2019.19657
  • Kushida CA, Giacomini A, Lee MK, Guilleminault C, Dement WC. Technical protocol for the use of esophageal manometry in the diagnosis of sleep-related breathing disorders. Sleep Med. 2002;3(2):163–173. doi:10.1016/s1389-9457(0100143-5
  • Loiodice C, Selek M, Loire M, Lévy P, Pépin JL. Mesure de l’effort respiratoire (pression œsophagienne) et estimation des résistances des voies aériennes supérieures au cours de l’enregistrement de sommeil: indications, limites, résultats. Neurophysiol Clin. 1998;28(6):507–520. doi:10.1016/S0987-7053(9980019-7
  • Chediak AD, Demirozu MC, Nay KN. α EEG sleep produced by balloon catheterization of the esophagus. Sleep. 1990;13(4):369–370. doi:10.1093/sleep/13.4.369
  • Chervin RD, Aldrich MS. Effects of esophageal pressure monitoring on sleep architecture. Am J Respir Crit Care Med. 1997;156(3 Pt 1):881–885. doi:10.1164/ajrccm.156.3.9701021
  • Woodson BT, Wooten MR. A multisensor solid-state pressure manometer to identify the level of collapse in obstructive sleep apnea. Otolaryngol Head Neck Surg. 1992;107(5):651–656. doi:10.1177/019459989210700507
  • Loube DI, Andrada T, Howard RS. Accuracy of respiratory inductive plethysmography for the diagnosis of upper airway resistance syndrome. Chest. 1999;115(5):1333–1337. doi:10.1378/chest.115.5.1333
  • Masa JF, Corral J, Martín MJ, et al. Assessment of thoracoabdominal bands to detect respiratory effort-related arousal. Eur Respir J. 2003;22(4):661–667. doi:10.1183/09031936.03.00010903
  • Masa JF, Corral J, Teran J, et al. Apnoeic and obstructive nonapnoeic sleep respiratory events. Eur Respir J. 2009;34(1):156–161. doi:10.1183/09031936.00160208
  • Pamidi S, Redline S, Rapoport D, et al. An official American Thoracic Society Workshop Report: noninvasive identification of inspiratory flow limitation in sleep studies. Ann Am Thorac Soc. 2017;14(7):1076–1085. doi:10.1513/AnnalsATS.201704-318WS
  • Carr DB, Littlefield RJ, Nicholson WL, Littlefield JS. Scatterplot matrix techniques for large N. J Am Stat Assoc. 1987;82(398):424–436. doi:10.1080/01621459.1987.10478445