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Classification of facial phenotypes in Asian patients with obstructive sleep apnea.

The facial phenotypes of Asian obstructive sleep apnea (OSA) patients remain unclear. (1) To describe the facial features of OSA patients. (2) To develop a model based on facial contour indicators to predict OSA. (3) To classify the facial phenotypes of Asian OSA patients. 110 patients with OSA (apn...

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Published in:Acta Oto-Laryngologica Vol. 142; no. 9-12; pp. 712 - 721
Main Authors: Zhang, Zishanbai, Wang, Huijun, Sun, Dance, Fei, Nanxi, Li, Yanru, Han, Demin
Format: diagnostic images research tables/charts Journal Article
Published: Taylor & Francis Ltd Sep-Dec2022
Online Access:View this record in EBSCOhost
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      dt: Sep-Dec2022
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      pub: Taylor & Francis Ltd
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        10.1080/00016489.2022.2108552
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        atl: Classification of facial phenotypes in Asian patients with obstructive sleep apnea.
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        au:
          Zhang, Zishanbai
          Wang, Huijun
          Sun, Dance
          Fei, Nanxi
          Li, Yanru
          Han, Demin
        affil: Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
      sug:
        subj:
          Face Anatomy and Histology
          Asians
          Phenotype
          Sleep Apnea, Obstructive Diagnosis
          Human
          Scales
          Comparative Studies
          Multiple Linear Regression
          Cluster Analysis
          Tomography, X-Ray Computed
          Adult
          Middle Age
          Male
          Female
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab:
        The facial phenotypes of Asian obstructive sleep apnea (OSA) patients remain unclear. (1) To describe the facial features of OSA patients. (2) To develop a model based on facial contour indicators to predict OSA. (3) To classify the facial phenotypes of Asian OSA patients. 110 patients with OSA (apnea-hypopnea index [AHI] ≥ 10/h) and 50 controls (AHI< 10/h) were selected to measure facial contour indicators. Indicators were compared between OSA patients and the control group. We used multivariable linear regression analysis to predict OSA severity and K-means cluster analysis to classify OSA patients into different phenotypes. We built a model to predict OSA which explained 49.1% of its variance and classified OSA patients into four categories. Cluster 1 (Skeletal type) had the narrowest facial width indicators with narrowing of the retroglossal airway. Cluster 2 (Obese type) had the widest face, and narrowest hard palate, retropalatal, and hypopharyngeal airways. Cluster 3 (Nose type) had the narrowest nasal cavity. Cluster 4 (Long type) had the longest airway length. Patients with OSA were classified into four categories, each of which identified different anatomic risk factors that can be used to select the treatment.
        背景：亚洲阻塞性睡眠呼吸暂停 (OSA) 患者的面部表型仍不清楚。 目的：（1）描述OSA患者的面部特征。 (2) 开发基于面部轮廓指标的模型来预测 OSA。 (3) 对亚洲 OSA 患者的面部表型进行分类。 材料和方法：挑选了110 名 OSA 患者（呼吸暂停低通气指数 [AHI] 10/h）和 50 名对照者（AHI<10/h）来测量面部轮廓指标。比较了OSA 患者和对照组之间的指标。我们使用多变量线性回归分析来预测 OSA严重性, 用 K 均值聚类分析将 OSA 患者分类为不同的表型。 结果：我们建立了一个预测 OSA 的模型。该模型解释了 49.1% 的方差并将 OSA患者分为四类。第一类（骨骼型）具有最窄的面部宽度指标, 舌后气道变窄。第 二类（肥胖型）脸最宽, 硬腭、腭后和下咽气道最窄。第 三类（鼻型）的鼻腔最窄。 第四类（长型）具有最长的气道长度。 结论与意义：将 OSA 患者分为四类, 每类确定了可用于选择治疗的不同解剖学危险因素。
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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