Computational fluid dynamics study in children with obstructive sleep apnea.

child cone-beam computed tomography pressure resistance sleep apnea syndromes upper airway velocity

Journal

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
ISSN: 1749-4486
Titre abrégé: Clin Otolaryngol
Pays: England
ID NLM: 101247023

Informations de publication

Date de publication:
18 Oct 2023
Historique:
revised: 20 08 2023
received: 13 04 2023
accepted: 07 10 2023
medline: 19 10 2023
pubmed: 19 10 2023
entrez: 19 10 2023
Statut: aheadofprint

Résumé

This study aims to identify characteristics in image-based computational fluid dynamics (CFD) in children with obstructive sleep apnea (OSA). Diagnostic study. Hospital-based cohort. Children with symptoms suggestive of OSA were recruited and underwent polysomnography. Three-dimensional models of computational fluid dynamics were derived from cone-beam computed tomography. A total of 68 children participated in the study (44 boys; mean age: 7.8 years), including 34 participants having moderate-to-severe OSA (apnea-hypopnea index [AHI] greater than 5 events/h), and 34 age, gender, and body mass index percentile matched participants having primary snoring (AHI less than 1). Children with moderate-to-severe OSA had a significantly higher total airway pressure (166.3 vs. 39.1 Pa, p = .009), total airway resistance (9851 vs. 2060 Newton-metre, p = .004) and velocity at a minimal cross-sectional area (65.7 vs. 8.8 metre per second, p = .017) than those with primary snoring. The optimal cut-off points for moderate-to-severe OSA were 46.2 Pa in the total airway pressure (area under the curve [AUC] = 73.2%), 2373 Newton-metre in the total airway resistance (AUC = 72.5%) and 12.6 metres per second in the velocity at a minimal cross-sectional area (AUC = 70.5%). The conditional logistic regression model revealed that total airway pressure, total airway resistance and velocity at minimal cross-sectional area were significantly associated with an increased risk of moderate-to-severe OSA. This study demonstrates that CFD could be a useful tool for evaluating upper airway patency in children with OSA.

Identifiants

pubmed: 37853961
doi: 10.1111/coa.14114
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Science and Technology, Taiwan
ID : 111-2314-B-002-193-MY3
Organisme : National Taiwan University Hospital
ID : 112-S0226

Informations de copyright

© 2023 John Wiley & Sons Ltd.

Références

Marcus CL. Sleep-disordered breathing in children. Am J Respir Crit Care Med. 2001;164(1):16-30.
Marcus CL, Brooks LJ, Draper KA, Gozal D, Halbower AC, Jones J, et al. Diagnosis and management of childhood obstructive sleep apnea syndrome. Pediatrics. 2012;130(3):e714-e755.
Capdevila OS, Kheirandish-Gozal L, Dayyat E, Gozal D. Pediatric obstructive sleep apnea: complications, management, and long-term outcomes. Proc Am Thorac Soc. 2008;5(2):274-282.
Katz ES, D'Ambrosio CM. Pathophysiology of pediatric obstructive sleep apnea. Proc Am Thorac Soc. 2008;5(2):253-262.
Quinlan CM, Otero H, Tapia IE. Upper airway visualization in pediatric obstructive sleep apnea. Paediatr Respir Rev. 2019;32:48-54.
Fujioka M, Young LW, Girdany BR. Radiographic evaluation of adenoidal size in children: adenoidal-nasopharyngeal ratio. AJR Am J Roentgenol. 1979;133(3):401-404.
Fernandes Fagundes NC, Gianoni-Capenakas S, Heo G, Flores-Mir C. Craniofacial features in children with obstructive sleep apnea: a systematic review and meta-analysis. J Clin Sleep Med. 2022;18(7):1865-1875.
Chen H, Aarab G, de Ruiter MH, de Lange J, Lobbezoo F, van der Stelt PF. Three-dimensional imaging of the upper airway anatomy in obstructive sleep apnea: a systematic review. Sleep Med. 2016;21:19-27.
Alsufyani NA, Al-Saleh MA, Major PW. CBCT assessment of upper airway changes and treatment outcomes of obstructive sleep apnoea: a systematic review. Sleep Breath. 2013;17(3):911-923.
Patini R, Arrica M, Di Stasio E, Gallenzi P, Cordaro M. The use of magnetic resonance imaging in the evaluation of upper airway structures in paediatric obstructive sleep apnoea syndrome: a systematic review and meta-analysis. Dentomaxillofac Radiol. 2016;45(7):20160136.
Faizal WM, Ghazali NNN, Badruddin IA, Zainon MZ, Yazid AA, Ali MAB, et al. A review of fluid-structure interaction simulation for patients with sleep related breathing disorders with obstructive sleep. Comput Methods Programs Biomed. 2019;180:105036.
Taherian S, Rahai H, Lopez S, Shin J, Jafari B. Evaluation of human obstructive sleep apnea using computational fluid dynamics. Commun Biol. 2019;2:423.
de Backer JW, Vanderveken OM, Vos WG, Devolder A, Verhulst SL, Verbraecken JA, et al. Functional imaging using computational fluid dynamics to predict treatment success of mandibular advancement devices in sleep-disordered breathing. J Biomech. 2007;40(16):3708-3714.
Hsu WC, Kang KT, Yao CJ, Chou CH, Weng WC, Lee PL, et al. Evaluation of upper airway in children with obstructive sleep apnea using cone-beam computed tomography. Laryngoscope. 2021;131(3):680-685.
Chen W, Chang MH. New growth charts for Taiwanese children and adolescents based on World Health Organization standards and health-related physical fitness. Pediatr Neonatol. 2010;51(2):69-79.
Berry RB, Brooks R, Gamaldo C, Harding SM, Lloyd RM, Quan SF, et al. AASM scoring manual updates for 2017 (Version 2.4). J Clin Sleep Med. 2017;13(5):665-666.
Montgomery-Downs HE, O'Brien LM, Gulliver TE, Gozal D. Polysomnographic characteristics in normal preschool and early school-aged children. Pediatrics. 2006;117(3):741-753.
Liu CN, Kang KT, Yao CJ, Chen YJ, Lee PL, Weng WC, et al. Changes in cone-beam computed tomography pediatric airway measurements after adenotonsillectomy in patients with OSA. JAMA Otolaryngol Head Neck Surg. 2022;148(7):621-629.
Yu CC, Hsiao HD, Tseng TI, Lee LC, Yao CM, Chen NH, et al. Computational fluid dynamics study of the inspiratory upper airway and clinical severity of obstructive sleep apnea. J Craniofac Surg. 2012;23(2):401-405.
Stocks J, Sly PD, Tepper RS, Morgan WJ. Infant respiratory function testing. New York: Wiley-Liss, Inc.; 1996.
Lumeng JC, Chervin RD. Epidemiology of pediatric obstructive sleep apnea. Proc Am Thorac Soc. 2008;5(2):242-252.
Wootton DM, Sin S, Luo H, Yazdani A, McDonough JM, Wagshul ME, et al. Computational fluid dynamics upper airway effective compliance, critical closing pressure, and obstructive sleep apnea severity in obese adolescent girls. J Appl Physiol. 2016;121(4):925-931.
Yanagisawa-Minami A, Sugiyama T, Iwasaki T, Yamasaki Y. Primary site identification in children with obstructive sleep apnea by computational fluid dynamics analysis of the upper airway. J Clin Sleep Med. 2020;16(3):431-439.
Kang KT, Chiu SN, Lee CH, Lin MT, Hsu WC. Effect of adenotonsillectomy on blood pressure in children with obstructive sleep apnea: a meta-analysis. Sleep Med. 2021;84:334-342.
Song SA, Tolisano AM, Cable BB, Camacho M. Neurocognitive outcomes after pediatric adenotonsillectomy for obstructive sleep apnea: a systematic review and meta-analysis. Int J Pediatr Otorhinolaryngol. 2016;83:205-210.

Auteurs

Wei-Chung Hsu (WC)

Department of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan.
Department of Otolaryngology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Sleep Center, National Taiwan University Hospital, Taipei, Taiwan.

Kun-Tai Kang (KT)

Department of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan.
Department of Otolaryngology, Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan.
Institute of Health Policy and Management, National Taiwan University, Taipei, Taiwan.

Yunn-Jy Chen (YJ)

Sleep Center, National Taiwan University Hospital, Taipei, Taiwan.
Department of Dentistry, National Taiwan University Hospital, Taipei, Taiwan.

Wen-Chin Weng (WC)

Sleep Center, National Taiwan University Hospital, Taipei, Taiwan.
Department of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.

Pei-Lin Lee (PL)

Sleep Center, National Taiwan University Hospital, Taipei, Taiwan.
Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.

Hung-Ta Hsiao (HT)

Soteria Biotech Co., Ltd, New Taipei City, Taiwan.

Classifications MeSH