Assistant professor, Department of Orthodontics, Dows Institute for Research, University of Iowa, Iowa City, Iowa.
Private practice, Everett, Wash.
Am J Orthod Dentofacial Orthop. 2014 Mar;145(3):305-16. doi: 10.1016/j.ajodo.2013.11.013.
Class II malocclusion affects about 15% of the population in the United States and is characterized by a convex profile and occlusal disharmonies. The specific etiologic mechanisms resulting in the range of Class II dentoskeletal combinations observed are not yet understood. Most studies describing Class II phenotypic diversity have used moderate sample sizes or focused on younger patients who later in life might outgrow their Class II discrepancies; such a focus might also preclude the visualization of adult Class II features. The majority have used simple correlation methods resulting in phenotypes that might not be generalizable to different samples and thus might not be suitable for studies of malocclusion etiology. The purpose of this study was to address these knowledge gaps by capturing the maximum phenotypic variations in a large sample of white Class II subjects selected with strict eligibility criteria and rigorously standardized multivariate reduction analyses.
Sixty-three lateral cephalometric variables were measured from the pretreatment records of 309 white Class II adults (82 male, 227 female; ages, 16-60 years). Principal component analysis and cluster analysis were used to generate comprehensive phenotypes to identify the most homogeneous groups of subjects, reducing heterogeneity and improving the power of future malocclusion etiology studies.
Principal component analysis resulted in 7 principal components that accounted for 81% of the variation. The first 3 components represented variation on mandibular rotation, maxillary incisor angulation, and mandibular length. The cluster analysis identified 5 distinct Class II phenotypes.
A comprehensive spectrum of Class II phenotypic definitions was obtained that can be generalized to other samples to advance our efforts for identifying the etiologic factors underlying Class II malocclusion.
在美国,约有 15%的人口患有 II 类错颌畸形,其特征为凸面型和咬合不协调。导致观察到的 II 类错颌骨骼组合范围的特定病因机制尚不清楚。大多数描述 II 类表型多样性的研究使用了中等样本量或侧重于年龄较小的患者,这些患者以后可能会生长出他们的 II 类错颌;这种关注可能也会排除成年 II 类特征的可视化。大多数研究使用了简单的相关方法,得出的表型可能不适用于不同的样本,因此可能不适合错颌病因的研究。本研究的目的是通过捕捉大量严格符合入选标准的白人 II 类患者的最大表型变化,并对其进行严格标准化的多元减少分析,来解决这些知识空白。
从 309 名白人 II 类成人(82 名男性,227 名女性;年龄 16-60 岁)的治疗前记录中测量了 63 个侧颅面变量。主成分分析和聚类分析用于生成综合表型,以确定最同质的受试者群体,减少异质性,提高未来错颌病因研究的效能。
主成分分析产生了 7 个主成分,占 81%的变异。前 3 个成分代表下颌旋转、上颌切牙角度和下颌长度的变化。聚类分析确定了 5 种不同的 II 类表型。
获得了全面的 II 类表型定义谱,可以推广到其他样本,以推进我们识别 II 类错颌病因的努力。