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Clustering of craniofacial patterns in Korean children with snoring

  • Anderson, Stephanie Maritza (Department of Dentistry, Kyung Hee University Graduate School) ;
  • Lim, Hoi-Jeong (Department of Orthodontics, Chonnam National University School of Dentistry) ;
  • Kim, Ki-Beom (Department of Orthodontics, Center for Advanced Dental Education, Saint Louis University) ;
  • Kim, Sung-Wan (Department of Otorhinolaryngology Head and Neck Surgery, Kyung Hee University School of Medicine) ;
  • Kim, Su-Jung (Department of Orthodontics, Kyung Hee University School of Dentistry)
  • Received : 2016.10.07
  • Accepted : 2017.02.07
  • Published : 2017.07.25

Abstract

Objective: The purpose of this study was to investigate whether the craniofacial patterns of Korean children with snoring and adenotonsillar hypertrophy (ATH) could be categorized into characteristic clusters according to age. Methods: We enrolled 236 children with snoring and ATH (age range, 5-12 years) in this study. They were subdivided into four age groups: 5-6, 7-8, 9-10, and 11-12 years. Based on cephalometric analysis, the sagittal and vertical skeletal patterns of each individual were divided into Class I, II, and III, as well as the normodivergent, hypodivergent, and hyperdivergent patterns, respectively. Cluster analysis was performed using cephalometric principal components in addition to the age factor. Results: Three heterogeneous clusters of craniofacial patterns were obtained in relation to age: cluster 1 (41.9%) included patients aged 5-8 years with a skeletal Class I or mild Class II and hyperdivergent pattern; cluster 2 (45.3%) included patients aged 9-12 years with a Class II and hyperdivergent pattern; and cluster 3 (12.8%) included patients aged 7-8 years with a Class III and hyperdivergent pattern. Conclusions: This study found that the craniofacial patterns of Korean children with snoring and ATH could be categorized into three characteristic clusters according to age groups. Although no significantly dominant sagittal skeletal discrepancy was observed, hyperdivergent vertical discrepancy was consistently evident in all clusters.

Keywords

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