Al-Awami Sukaynah, Tanberg William, Monegro Alberto, Covell David, Martinot Jean-Benoit, Al-Jewair Thikriat
Department of Orthodontics, School of Dental Medicine, State University of New York at Buffalo, Buffalo, New York, United States.
Pediatric Sleep Center, School of Medicine, University at Buffalo, Buffalo, New York, United States.
Eur J Dent. 2025 Jul;19(3):768-776. doi: 10.1055/s-0044-1795120. Epub 2024 Dec 30.
The primary objective was to evaluate the influence of sagittal skeletal pattern on mandibular movement (MM) during sleep in growing orthodontic populations. The secondary objective was to compare MM according to obstructive sleep apnea (OSA) status.
This cross-sectional study included subjects between 6 and 17 years old, presenting with class I, II, and III skeletal patterns and no previous history of orthodontic treatment. A wireless sensor connected to the patient's chin before bedtime and removed the next day was used to record MM signals. The signals were analyzed using a machine learning algorithm to measure sleep and MM outcomes. MM variables included percentage change in waveform prominence (%), variance in peak prominence, mean prominence values, length of events (seconds), respiratory rate per minute, dominant frequency, and amplitude of dominant frequency. The obstructive respiratory disturbance index determined from the sensor was used to confirm OSA status.
There was no statistically significant difference in MM variables between class I, II, and III subjects. When compared according to OSA status, the amplitude of dominant frequency was significantly higher in the OSA than the non-OSA group ( = 0.005). When evaluated according to both skeletal classification and OSA status, the class I OSA subjects showed a higher median value than the non-OSA class I group ( = 0.016).
Within the limits of this study, the sagittal skeletal pattern had no effect on the respiratory MM. This study did not find a correlation between craniofacial pattern and MM and OSA.
主要目的是评估矢状骨面型对正在生长发育的正畸人群睡眠期间下颌运动(MM)的影响。次要目的是根据阻塞性睡眠呼吸暂停(OSA)状态比较下颌运动。
这项横断面研究纳入了6至17岁、呈现I类、II类和III类骨面型且既往无正畸治疗史的受试者。睡前将一个连接到患者下巴的无线传感器佩戴上,次日取下,用于记录下颌运动信号。使用机器学习算法分析信号,以测量睡眠和下颌运动结果。下颌运动变量包括波形突出度的百分比变化(%)、峰值突出度的方差、平均突出度值、事件时长(秒)、每分钟呼吸频率、主导频率以及主导频率的幅度。由传感器确定的阻塞性呼吸紊乱指数用于确认OSA状态。
I类、II类和III类受试者之间的下颌运动变量无统计学显著差异。根据OSA状态进行比较时,OSA组的主导频率幅度显著高于非OSA组(P = 0.005)。根据骨面型分类和OSA状态进行评估时,I类OSA受试者的中位数高于非OSA的I类组(P = 0.016)。
在本研究的范围内,矢状骨面型对呼吸性下颌运动没有影响。本研究未发现颅面型与下颌运动及OSA之间存在相关性。