Abstract
Purpose
To evaluate craniofacial measurements on 3D-stereophotogrammetry and see if particular measurements are more typical in obstructive sleep apnea (OSA) and have a correlation with its severity.
Methods
Subjects included were adults undergoing a diagnostic polysomnography. Age, BMI, neck, abdominal and hip circumference (cm) were recorded.
3D-stereophotogrammetry was performed and landmarks were placed on the 3D-image. Different linear, angular and volume measurements were performed to gauge facial and neck anatomy. The relationship between these measurements and the severity of OSA, based on the obstructive apnea/hypopnea index (OAHI, events/h), was assessed by multiple linear regression, and adjusted for BMI and sex.
Results
Of 91 subjects included (61 male), mean age was 46 ± 12 years, BMI 30.1 ± 6.5 kg/m2, OAHI 19.3 ± 18.8/h. BMI was higher (p = 0.0145) in females (32.9 ± 7.7) than in males (28.6 ± 5.3). This was also true for hip circumference (118 ± 15 vs 107 ± 10, p = 0.0006), while the neck circumference was higher (p < 0.0001) in males (41 ± 4 vs 37 ± 4).
The following parameters could predict the logOAHI (r2-adjusted = 0.51): sex (p < 0.0001), BMI (p = 0.0116), neck-depth/mandibular-length (p = 0.0002), mandibular-width angle (p = 0.0118), neck-depth euclidean distance/surface distance (E/S) (p = 0.0001) and the interaction terms between sex and neck-depth/mandibular-length (p = 0.0034), sex and neck-depth E/S (p = 0.0276) and BMI and neck-depth E/S (p = 0.0118).
The interaction between sex and neck-depth/mandibular-length showed a steeper linear course in females. This is also true for the interaction term BMI with neck-depth E/S in patients with a higher BMI. With a same neck-depth ratio, the OAHI is larger in men.
Conclusion
Measurements involving the width of the face and addressing the soft tissue in the upper neck were found to have a significant relation with OSA severity. We found remarkable differences between non-obese/obese subjects and between males and females.
Similar content being viewed by others
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Eckert DJ, Malhotra A (2008) Pathophysiology of adult obstructive sleep apnea. Proc Am Thorac Soc 5:144–153
Guilleminault C, Tilkian A, Dement WC (1976) The sleep apnea syndromes. Annu Rev Med 27:465–484
Vrints H, Shivalkar B, Hilde H et al (2013) Cardiovascular mechanisms and consequences of obstructive sleep apnoea. Acta Clin Belg 68:169–178
Arzt M, Young T, Finn L et al (2005) Association of sleep-disordered breathing and the occurrence of stroke. Am J Respir Crit Care Med 172:1447–1451
Tasali E, Ip MS (2008) Obstructive sleep apnea and metabolic syndrome: alterations in glucose metabolism and inflammation. Proc Am Thorac Soc 5:207–217
Young T, Blustein J, Finn L, Palta M (1997) Sleep-disordered breathing and motor vehicle accidents in a population-based sample of employed adults. Sleep 20:608–613
Borsoi L, Armeni P, Donin G et al (2022) The invisible costs of obstructive sleep apnea (OSA): Systematic review and cost-of-illness analysis. PLoS ONE 17:e0268677
Susarla SM, Thomas RJ, Abramson ZR, Kaban LB (2010) Biomechanics of the upper airway: Changing concepts in the pathogenesis of obstructive sleep apnea. Int J Oral Maxillofac Surg 39:1149–1159
Lowe AA, Fleetham JA, Adachi S, Ryan CF (1995) Cephalometric and computed tomographic predictors of obstructive sleep apnea severity. Am J Orthod Dentofacial Orthop 107:589–595
Yu X, Fujimoto K, Urushibata K et al (2003) Cephalometric analysis in obese and nonobese patients with obstructive sleep apnea syndrome. Chest 124:212–218
Neelapu BC, Kharbanda OP, Sardana HK et al (2017) Craniofacial and upper airway morphology in adult obstructive sleep apnea patients: A systematic review and meta-analysis of cephalometric studies. Sleep Med Rev 31:79–90
Schwab RJ, Pasirstein M, Pierson R et al (2003) Identification of upper airway anatomic risk factors for obstructive sleep apnea with volumetric magnetic resonance imaging. Am J Respir Crit Care Med 168:522–530
Banabilh SM, Suzina AH, Dinsuhaimi S et al (2009) Craniofacial obesity in patients with obstructive sleep apnea. Sleep Breath 13:19–24
Ferguson KA, Ono T, Lowe AA et al (1995) The relationship between obesity and craniofacial structure in obstructive sleep apnea. Chest 108:375–381
Lee RW, Chan AS, Grunstein RR, Cistulli PA (2009) Craniofacial phenotyping in obstructive sleep apnea–a novel quantitative photographic approach. Sleep 32:37–45
Sutherland K, Schwab RJ, Maislin G et al (2014) Facial phenotyping by quantitative photography reflects craniofacial morphology measured on magnetic resonance imaging in Icelandic sleep apnea patients. Sleep 37:959–968
Perri RA, Kairaitis K, Cistulli P et al (2014) Surface cephalometric and anthropometric variables in OSA patients: statistical models for the OSA phenotype. Sleep Breath 18:39–52
Schellenberg JB, Maislin G, Schwab RJ (2000) Physical findings and the risk for obstructive sleep apnea. The importance of oropharyngeal structures. Am J Respir Crit Care Med 162:740–8
Lee RW, Sutherland K, Chan AS et al (2010) Relationship between surface facial dimensions and upper airway structures in obstructive sleep apnea. Sleep 33:1249–1254
Berry RB, Brooks R, Gamaldo C et al (2017) AASM Scoring Manual Updates for 2017 (Version 2.4). J Clin Sleep Med 13:665–6
Baillieul S, Revol B, Jullian-Desayes I et al (2019) Diagnosis and management of central sleep apnea syndrome. Expert Rev Respir Med 13:545–557
Farkas LG (1994) Anthropometry of the head and face. Raven Press, New York
Banabilh SM, Samsudin AR, Suzina AH, Dinsuhaimi S (2010) Facial profile shape, malocclusion and palatal morphology in Malay obstructive sleep apnea patients. Angle Orthod 80:37–42
Capistrano A, Cordeiro A, Capelozza Filho L et al (2015) Facial morphology and obstructive sleep apnea. Dental Press J Orthod 20:60–67
Lam B, Ip MS, Tench E, Ryan CF (2005) Craniofacial profile in Asian and white subjects with obstructive sleep apnoea. Thorax 60:504–510
Georgoulis M, Yiannakouris N, Kechribari I et al (2022) Dose-response relationship between weight loss and improvements in obstructive sleep apnea severity after a diet/lifestyle interventions: secondary analyses of the “MIMOSA” randomized clinical trial. J Clin Sleep Med 18:1251–1261
Peppard PE, Young T, Palta M et al (2000) Longitudinal study of moderate weight change and sleep-disordered breathing. JAMA 284:3015–3021
Young T, Palta M, Dempsey J et al (1993) The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 328:1230–1235
Lee RW, Petocz P, Prvan T et al (2009) Prediction of obstructive sleep apnea with craniofacial photographic analysis. Sleep 32:46–52
Battagel JM, Johal A (2000) A cephalometric comparison of normal weight and obese subjects with obstructive sleep apnea. Radiography 6:283–292
Agha B, Johal A (2017) Facial phenotype in obstructive sleep apnea-hypopnea syndrome: a systematic review and meta-analysis. J Sleep Res 26:122–131
Tabatabaei Balaei A, Sutherland K, Cistulli P, de Chazal P (2018) Prediction of obstructive sleep apnea using facial landmarks. Physiol Meas 39:094004
Hanif U, Leary E, Schneider L et al (2021) Estimation of apnea-hypopnea index using deep learning On 3-D craniofacial scans. IEEE J Biomed Health Inform 25:4185–4194
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Declarations
The authors declare that they have no conflict of interest.
The authors have no relevant financial or non-financial interests to disclose.
The authors have no competing interests to declare that are relevant to the content of this article.
All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.
The authors have no financial or proprietary interests in any material discussed in this article.
Ethical approval
Approval of the institutional ethics committee was obtained on 29/10/2018 (UZA 18/34/375, BRN: B300201837854) and all subjects gave their written informed consent.
This study has therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Collier, E., Nadjmi, N., Verbraecken, J. et al. Anthropometric 3D evaluation of the face in patients with sleep related breathing disorders. Sleep Breath 27, 2209–2221 (2023). https://doi.org/10.1007/s11325-023-02827-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11325-023-02827-y