Diagnostic Accuracy of a Portable Electromyography and Electrocardiography Device to Measure Sleep Bruxism in a Sleep Apnea Population: A Comparative Study.

bruxism electrocardiography electromyography polysomnography portable device sleep apnea sleep bruxism sleep–wake disorders

Journal

Clocks & sleep
ISSN: 2624-5175
Titre abrégé: Clocks Sleep
Pays: Switzerland
ID NLM: 101736579

Informations de publication

Date de publication:
20 Nov 2023
Historique:
received: 22 09 2023
revised: 13 11 2023
accepted: 14 11 2023
medline: 21 11 2023
pubmed: 21 11 2023
entrez: 21 11 2023
Statut: epublish

Résumé

The gold standard for diagnosing sleep bruxism (SB) and obstructive sleep apnea (OSA) is polysomnography (PSG). However, a final hypermotor muscle activity often occurs after apnea episodes, which can confuse the diagnosis of SB when using portable electromyography (EMG) devices. This study aimed to compare the number of SB episodes obtained from PSG with manual analysis by a sleep expert, and from a manual and automatic analysis of an EMG and electrocardiography (EKG) device, in a population with suspected OSA. Twenty-two subjects underwent a polysomnographic study with simultaneous recording with the EMG-EKG device. SB episodes and SB index measured with both tools and analyzed manually and automatically were compared. Masticatory muscle activity was scored according to published criteria. Patients were segmented by severity of OSA (mild, moderate, severe) following the American Academy of Sleep Medicine (AASM) criteria. ANOVA and the Bland-Altman plot were used to quantify the agreement between both methods. The concordance was calculated through the intraclass correlation coefficient (ICC). On average, the total events of SB per night in the PSG study were (8.41 ± 0.85), lower than the one obtained with EMG-EKG manual (14.64 ± 0.76) and automatic (22.68 ± 16.02) analysis. The mean number of SB episodes decreases from the non-OSA group to the OSA group with both PSG (5.93 ± 8.64) and EMG-EKG analyses (automatic = 22.47 ± 18.07, manual = 13.93 ± 11.08). However, this decrease was minor in proportion compared to the automatic EMG-EKG analysis mode (from 23.14 to 22.47). The ICC based on the number of SB episodes in the segmented sample by severity degree of OSA along the three tools shows a moderate correlation in the non-OSA (0.61) and mild OSA (0.53) groups. However, it is poorly correlated in the moderate (0.24) and severe (0.23) OSA groups: the EMG-EKG automatic analysis measures 14.27 units more than PSG. The results of the manual EMG-EKG analysis improved this correlation but are not good enough. The results obtained in the PSG manual analysis and those obtained by the EMG-EKG device with automatic and manual analysis for the diagnosis of SB are acceptable but only in patients without OSA or with mild OSA. In patients with moderate or severe OSA, SB diagnosis with portable electromyography devices can be confused due to apneas, and further study is needed to investigate this.

Sections du résumé

BACKGROUND BACKGROUND
The gold standard for diagnosing sleep bruxism (SB) and obstructive sleep apnea (OSA) is polysomnography (PSG). However, a final hypermotor muscle activity often occurs after apnea episodes, which can confuse the diagnosis of SB when using portable electromyography (EMG) devices. This study aimed to compare the number of SB episodes obtained from PSG with manual analysis by a sleep expert, and from a manual and automatic analysis of an EMG and electrocardiography (EKG) device, in a population with suspected OSA.
METHODS METHODS
Twenty-two subjects underwent a polysomnographic study with simultaneous recording with the EMG-EKG device. SB episodes and SB index measured with both tools and analyzed manually and automatically were compared. Masticatory muscle activity was scored according to published criteria. Patients were segmented by severity of OSA (mild, moderate, severe) following the American Academy of Sleep Medicine (AASM) criteria. ANOVA and the Bland-Altman plot were used to quantify the agreement between both methods. The concordance was calculated through the intraclass correlation coefficient (ICC).
RESULTS RESULTS
On average, the total events of SB per night in the PSG study were (8.41 ± 0.85), lower than the one obtained with EMG-EKG manual (14.64 ± 0.76) and automatic (22.68 ± 16.02) analysis. The mean number of SB episodes decreases from the non-OSA group to the OSA group with both PSG (5.93 ± 8.64) and EMG-EKG analyses (automatic = 22.47 ± 18.07, manual = 13.93 ± 11.08). However, this decrease was minor in proportion compared to the automatic EMG-EKG analysis mode (from 23.14 to 22.47). The ICC based on the number of SB episodes in the segmented sample by severity degree of OSA along the three tools shows a moderate correlation in the non-OSA (0.61) and mild OSA (0.53) groups. However, it is poorly correlated in the moderate (0.24) and severe (0.23) OSA groups: the EMG-EKG automatic analysis measures 14.27 units more than PSG. The results of the manual EMG-EKG analysis improved this correlation but are not good enough.
CONCLUSIONS CONCLUSIONS
The results obtained in the PSG manual analysis and those obtained by the EMG-EKG device with automatic and manual analysis for the diagnosis of SB are acceptable but only in patients without OSA or with mild OSA. In patients with moderate or severe OSA, SB diagnosis with portable electromyography devices can be confused due to apneas, and further study is needed to investigate this.

Identifiants

pubmed: 37987398
pii: clockssleep5040047
doi: 10.3390/clockssleep5040047
pmc: PMC10660473
doi:

Types de publication

Journal Article

Langues

eng

Pagination

717-733

Références

J Dent Res. 2001 Feb;80(2):443-8
pubmed: 11332529
J Sleep Res. 2013 Nov 4;:
pubmed: 24635459
J Prosthodont Res. 2020 Jan;64(1):90-97
pubmed: 31085074
Sleep Breath. 2015 Dec;19(4):1459-65
pubmed: 25794544
J Orofac Pain. 2012 Fall;26(4):267-76
pubmed: 23110266
J Oral Rehabil. 2023 Apr;50(4):258-266
pubmed: 36648354
J Clin Med. 2019 Oct 11;8(10):
pubmed: 31614526
J Electromyogr Kinesiol. 2000 Oct;10(5):283-6
pubmed: 11018437
Clin Oral Investig. 2014 Nov;18(8):2037-43
pubmed: 24374575
Handb Clin Neurol. 2019;160:381-392
pubmed: 31277862
Sensors (Basel). 2023 Sep 15;23(18):
pubmed: 37765980
J Orofac Pain. 2013 Spring;27(2):99-110
pubmed: 23630682
J Dent Res. 1996 Jan;75(1):546-52
pubmed: 8655758
J Oral Rehabil. 2016 Oct;43(10):791-8
pubmed: 27283599
Chest. 1986 Sep;90(3):424-9
pubmed: 3743157
Sleep Breath. 2014 Dec;18(4):837-44
pubmed: 24526386
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2007 Sep;104(3):e32-9
pubmed: 17618147
J Prosthodont Res. 2022 Oct 7;66(4):630-638
pubmed: 35095085
J Oral Rehabil. 2008 Jul;35(7):476-94
pubmed: 18557915
Nicotine Tob Res. 2010 Dec;12(12):1254-60
pubmed: 21041838
J Craniomandib Disord. 1991 Fall;5(4):258-64
pubmed: 1814968
J Prosthet Dent. 1981 May;45(5):545-9
pubmed: 6938686
J Oral Rehabil. 2018 Nov;45(11):837-844
pubmed: 29926505
J Clin Sleep Med. 2013 Nov 15;9(11):1139-45
pubmed: 24235894
Sleep Breath. 2023 Mar;27(1):319-328
pubmed: 35353290
Sleep Breath. 2020 Sep;24(3):913-921
pubmed: 31628624
Sleep Breath. 2016 May;20(2):703-9
pubmed: 26564168
Front Neurol. 2023 Mar 21;14:1150477
pubmed: 37025207
Life (Basel). 2022 Oct 04;12(10):
pubmed: 36294978
J Oral Rehabil. 2012 Jan;39(1):2-10
pubmed: 21707698
J Oral Rehabil. 2018 Jul;45(7):545-554
pubmed: 29663484
J Clin Sleep Med. 2017 Mar 15;13(3):479-504
pubmed: 28162150
J Oral Rehabil. 2014 Mar;41(3):163-9
pubmed: 24417585
Am J Respir Crit Care Med. 2002 May 1;165(9):1217-39
pubmed: 11991871
J Prosthodont Res. 2018 Jul;62(3):317-323
pubmed: 29475807
Sleep Breath. 2013 Mar;17(1):373-9
pubmed: 22528955
Oral Surg Oral Med Oral Pathol Oral Radiol. 2012 May;113(5):612-7
pubmed: 22668619
Med Hypotheses. 2017 Apr;101:55-58
pubmed: 28351492
Biosensors (Basel). 2023 Jul 07;13(7):
pubmed: 37504116
Rev Port Pneumol (2006). 2017 Jan - Feb;23(1):22-26
pubmed: 27567051
Sleep Med. 2020 Apr;68:131-137
pubmed: 32035303
Mo Med. 2017 Mar-Apr;114(2):120-124
pubmed: 30228558
Sleep Breath. 2015 Mar;19(1):183-90
pubmed: 24792778
J Clin Epidemiol. 2008 Apr;61(4):344-9
pubmed: 18313558
J Sleep Res. 2021 Oct;30(5):e13320
pubmed: 33675267
J Oral Rehabil. 2014 Nov;41(11):836-42
pubmed: 25040303
Biomed Rep. 2018 Mar;8(3):264-268
pubmed: 29599979
J Sleep Res. 2018 Feb;27(1):103-112
pubmed: 28513083
Clin Oral Investig. 2023 Aug;27(8):4633-4642
pubmed: 37256429
J Clin Sleep Med. 2018 Jul 15;14(7):1239-1244
pubmed: 29991434
J Sleep Res. 2023 Oct;32(5):e13858
pubmed: 36781409
J Orofac Pain. 2003 Summer;17(3):191-213
pubmed: 14520766
Physiol Meas. 2020 Jun 15;41(5):055012
pubmed: 32252039
J Dent Res. 2013 Jul;92(7 Suppl):97S-103S
pubmed: 23690359
J Sleep Res. 1997 Dec;6(4):259-63
pubmed: 9493526
J Oral Facial Pain Headache. 2018 Oct 26;33(3):269–277
pubmed: 30371687
Sleep Breath. 2016 May;20(2):695-702
pubmed: 26527206
J Dent Res. 1998 Apr;77(4):565-73
pubmed: 9539459
Sleep. 1991 Dec;14(6):540-5
pubmed: 1798888
J Dent Res. 1966 Jul-Aug;45(4):1198-204
pubmed: 5224088
Sleep. 2003 Jun 15;26(4):461-5
pubmed: 12841373
Int J Environ Res Public Health. 2023 Jan 30;20(3):
pubmed: 36767818
Arch Oral Biol. 2000 Oct;45(10):889-96
pubmed: 10973562
Nat Sci Sleep. 2021 Aug 23;13:1449-1459
pubmed: 34466045
Pediatrics. 2000 Jul;106(1 Pt 1):67-74
pubmed: 10878151
Dent Med Probl. 2021 Apr-Jun;58(2):215-218
pubmed: 33974750
J Oral Rehabil. 2019 Nov;46(11):991-997
pubmed: 31264730
Mov Disord. 1999 Sep;14(5):865-71
pubmed: 10495054
J Oral Facial Pain Headache. 2014 Winter;28(1):6-27
pubmed: 24482784

Auteurs

Rosana Cid-Verdejo (R)

Faculty of Dentistry, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Department of Clinical Dentistry, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.

Adelaida A Domínguez Gordillo (AA)

Faculty of Dentistry, Universidad Complutense de Madrid, 28040 Madrid, Spain.

Eleuterio A Sánchez-Romero (EA)

Interdisciplinary Group on Musculoskeletal Disorders, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain.
Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain.
Physiotherapy and Orofacial Pain Working Group, Sociedad Española de Disfunción Craneomandibular y Dolor Orofacial (SEDCYDO), 28009 Madrid, Spain.

Ignacio Ardizone García (I)

Faculty of Dentistry, Universidad Complutense de Madrid, 28040 Madrid, Spain.

Francisco J Martínez Orozco (FJ)

Clinical Neurophysiology Department, Sleep Unit, San Carlos University Hospital, 28040 Madrid, Spain.

Classifications MeSH