Abstract
Purpose
Previous studies focusing on phenotyping obstructive sleep apnea (OSA) have outlined its heterogeneity in clinical symptoms, comorbidities, and polysomnographic features. However, the role of anatomical or pathophysiological causality including craniofacial skeletal deformity has not been studied. We aimed to identify and characterize phenotypes of OSA based on multi-perspective clustering by incorporating craniofacial risks with obesity, apnea severity, arousability, symptom, and comorbidity.
Methods
A total of 421 Korean patients with OSA (apnea-hypopnea index, AHI ≥ 5; age ≥ 20 years old) were recruited. A K-means cluster analysis was performed following principal component analysis with sagittal and vertical skeletal variables (ANB and mandibular plane angle), AHI, body mass index, and Epworth sleepiness scale. Inter-cluster comparison was conducted using demographic, cephalometric, and polysomnographic variables in addition to presence of diabetes and hypertension. Risk factors contributing to OSA severity were evaluated in each cluster using multivariable regression analysis with adjustment for age and gender.
Results
Three phenotypic clusters were identified and characterized as follows: Cluster-1 (noncraniofacial phenotype, 39%), non-obese moderate-to-severe OSA with no skeletal discrepancy representing low arousal threshold (ArTh), little sleepiness, and low comorbidity; Cluster-2 (craniofacial skeletal phenotype, 33%), non-obese moderate OSA with definite skeletal discrepancy showing low ArTh, mild sleepiness, and low comorbidity; and Cluster-3 (complicated phenotype, 28%), obese severe OSA with skeletal discrepancy exhibiting high ArTh, excessive daytime sleepiness, and high incidence of hypertension.
Conclusions
The three OSA phenotypes from multi-perspective clustering may provide a basis for precise therapeutic decision-making including craniofacial skeletal intervention beyond usual characterization of OSA subgroups.
Similar content being viewed by others
References
Park JG, Ramar K, Olson EJ (2011) Updates on definition, consequences, and management of obstructive sleep apnea. In: Mayo Clinic Proceedings. vol 6. Elsevier, pp 549–555
Eckert DJ (2018) Phenotypic approaches to obstructive sleep apnoea–new pathways for targeted therapy. Sleep Med Rev 37:45–59
Bailly S, Destors M, Grillet Y, Richard P, Stach B, Vivodtzev I, Timsit J-F, Lévy P, Tamisier R, Pépin J-L (2016) Obstructive sleep apnea: a cluster analysis at time of diagnosis. PLoS One 11(6):e0157318
Keenan BT, Kim J, Singh B, Bittencourt L, Chen N-H, Cistulli PA, Magalang UJ, McArdle N, Mindel JW, Benediktsdottir B (2018) Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis. Sleep 41(3):zsx214
Wang Q, Zhang C, Jia P, Zhang J, Feng L, Wei S, Luo Y, Su L, Zhao C, Dong H (2014) The association between the phenotype of excessive daytime sleepiness and blood pressure in patients with obstructive sleep apnea-hypopnea syndrome. Int J Med Sci 11(7):713–720
Kuang J (2016) Obstructive sleep apnea-hypopnea syndrome clinical in subtypes a principal component analysis-based cluster analysis. Chest 149(4):A566
Ye L, Pien GW, Ratcliffe SJ, Björnsdottir E, Arnardottir ES, Pack AI, Benediktsdottir B, Gislason T (2014) The different clinical faces of obstructive sleep apnoea: a cluster analysis. Eur Respir J 44(6):1600–1607
Saaresranta T, Hedner J, Bonsignore MR, Riha RL, McNicholas WT, Penzel T, Anttalainen U, Kvamme JA, Pretl M, Sliwinski P (2016) Clinical phenotypes and comorbidity in European sleep apnoea patients. PLoS One 11(10):e0163439
Vavougios GD, Natsios G, Pastaka C, Zarogiannis SG, Gourgoulianis KI (2016) Phenotypes of comorbidity in OSAS patients: combining categorical principal component analysis with cluster analysis. J Sleep Res 25(1):31–38
Gagnadoux F, Le Vaillant M, Paris A, Pigeanne T, Leclair-Visonneau L, Bizieux-Thaminy A, Alizon C, Humeau M-P, Nguyen X-L, Rouault B (2016) Relationship between OSA clinical phenotypes and CPAP treatment outcomes. Chest 149(1):288–290
Burgel P-R, Paillasseur J-L, Janssens W, Piquet J, Ter Riet G, Garcia-Aymerich J, Cosio B, Bakke P, Puhan MA, Langhammer A (2017) A simple algorithm for the identification of clinical COPD phenotypes. Eur Respir J 50(5):1701034
Nakayama H, Kobayashi M, Tsuiki S, Yanagihara M, Inoue Y (2019) Obstructive sleep apnea phenotypes in men based on characteristics of respiratory events during polysomnography. Sleep and Breathing 23(4):1087–1094 1–8
An H-J, Baek S-H, Kim S-W, Kim S-J, Park Y-G (2019) Clustering-based characterization of clinical phenotypes in obstructive sleep apnoea using severity, obesity, and craniofacial pattern. Eur J Orthod 42(1):93–100
Berry RB, Brooks R, Gamaldo CE, Harding SM, Marcus C, Vaughn BV (2012) The AASM manual for the scoring of sleep and associated events. Rules, terminology and technical specifications. American Academy of Sleep Medicine, Darien, p 176
Joosten SA, Leong P, Landry SA, Sands SA, Terrill PI, Mann D, Turton A, Rangaswamy J, Andara C, Burgess G (2017) Loop gain predicts the response to upper airway surgery in patients with obstructive sleep apnea. Sleep 40(7):zsx094
Cho YW, Lee JH, Son HK, Lee SH, Shin C, Johns MW (2011) The reliability and validity of the Korean version of the Epworth sleepiness scale. Sleep and Breathing 15(3):377–384
Dahlberg G (1940) Statistical methods for medical and biological students. Br Med J 2(4158):358–359
Kim J, Keenan BT, Lim DC, Lee SK, Pack AI, Shin C (2018) Symptom-based subgroups of Koreans with obstructive sleep apnea. J Clin Sleep Med 14(03):437–443
Eckert DJ, White DP, Jordan AS, Malhotra A, Wellman A (2013) Defining phenotypic causes of obstructive sleep apnea. Identification of novel therapeutic targets. Am J Respir Crit Care Med 188(8):996–1004
Zinchuk A, Edwards BA, Jeon S, Koo BB, Concato J, Sands S, Wellman A, Yaggi HK (2018) Prevalence, associated clinical features, and impact on continuous positive airway pressure use of a low respiratory arousal threshold among male United States veterans with obstructive sleep apnea. J Clin Sleep Med 14(05):809–817
Sands SA, Edwards BA, Terrill PI, Taranto-Montemurro L, Azarbarzin A, Marques M, Hess LB, White DP, Wellman AJ (2018) Phenotyping pharyngeal pathophysiology using polysomnography in patients with obstructive sleep apnea. Am J Respir Crit Care Med 197(9):1187–1197
Sforza E, Petiau C, Weiss T, Thibault A, Krieger JJ (1999) Pharyngeal critical pressure in patients with obstructive sleep apnea syndrome: clinical implications. Am J Respir Crit Care Med 159(1):149–157
Lee RW, Vasudavan S, Hui DS, Prvan T, Petocz P, Darendeliler MA, Cistulli PA (2010) Differences in craniofacial structures and obesity in Caucasian and Chinese patients with obstructive sleep apnea. Sleep 33(8):1075–1080
Sutherland K, Keenan BT, Bittencourt L, Chen N-H, Gislason T, Leinwand S, Magalang UJ, Maislin G, Mazzotti DR, McArdle N (2019) A global comparison of anatomic risk factors and their relationship to obstructive sleep apnea severity in clinical samples. J Clin Sleep Med 15(04):629–639
Edwards BA, Wellman A, Sands SA, Owens RL, Eckert DJ, White DP, Malhotra A (2014) Obstructive sleep apnea in older adults is a distinctly different physiological phenotype. Sleep 37(7):1227–1236A
Ferguson KA, Ono T, Lowe AA, Ryan CF, Fleetham JA (1995) The relationship between obesity and craniofacial structure in obstructive sleep apnea. Chest 108(2):375–381
Chi L, Comyn F-L, Mitra N, Reilly MP, Wan F, Maislin G, Chmiewski L, Thorne-FitzGerald MD, Victor UN, Pack AI (2011) Identification of craniofacial risk factors for obstructive sleep apnoea using three-dimensional MRI. Eur Respir J 38(2):348–358
Acknowledgments
The authors have no commercial interests related to the subject of the study, and the study did not receive any commercial financial or material support.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in this study involving human participants were in accordance with the ethical standards of the Institutional Review Board of Kyung Hee University Dental Hospital (KHD IRB 1811-2) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
This was a retrospective study based on records, and formal consent was not required.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kim, SJ., Alnakhli, W.M., Alfaraj, A.S. et al. Multi-perspective clustering of obstructive sleep apnea towards precision therapeutic decision including craniofacial intervention. Sleep Breath 25, 85–94 (2021). https://doi.org/10.1007/s11325-020-02062-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11325-020-02062-9