首页> 外文期刊>Journal of applied physiology >A method for measuring and modeling the physiological traits causing obstructive sleep apnea.
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A method for measuring and modeling the physiological traits causing obstructive sleep apnea.

机译:一种测量和建模导致阻塞性睡眠呼吸暂停的生理特征的方法。

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摘要

There is not a clinically available technique for measuring the physiological traits causing obstructive sleep apnea (OSA). Therefore, it is often difficult to determine why an individual has OSA or to what extent the various traits contribute to the development of OSA. In this study, we present a noninvasive method for measuring four important physiological traits causing OSA: 1) pharyngeal anatomy/collapsibility, 2) ventilatory control system gain (loop gain), 3) the ability of the upper airway to dilate/stiffen in response to an increase in ventilatory drive, and 4) arousal threshold. These variables are measured using a single maneuver in which continuous positive airway pressure (CPAP) is dropped from an optimum to various suboptimum pressures for 3- to 5-min intervals during sleep. Each individual's set of traits is entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual. Results from 14 subjects (10 with OSA) are described. Repeatability measurements from separate nights are also presented for four subjects. The measurements and model illustrate the multifactorial nature of OSA pathogenesis and how, in some individuals, small adjustments of one or another trait (which might be achievable with non-CPAP agents) could potentially treat OSA. This technique could conceivably be used clinically to define a patient's physiology and guide therapy based on the traits.
机译:没有临床上可用于测量导致阻塞性睡眠呼吸暂停(OSA)的生理特征的技术。因此,通常很难确定一个人为什么患有OSA或各种特征在多大程度上促进了OSA的发展。在这项研究中,我们提出了一种非侵入性的方法来测量导致OSA的四个重要生理特征:1)咽部解剖/折叠,2)呼吸控制系统增益(回路增益),3)上呼吸道扩张/变硬的能力通气量增加;以及4)唤醒阈值。这些变量是通过单次操作进行测量的,其中在睡眠过程中,连续不断的气道正压(CPAP)在3至5分钟的间隔内从最佳压力降至各种次最佳压力。将每个个体的特征集输入OSA的生理模型,该模型以图形方式说明该个体中每个特征的相对重要性。描述了14位受试者(其中10位患有OSA)的结果。还提供了针对四个主题的不同夜晚的重复性测量结果。测量和模型说明了OSA发病机制的多因素性质,以及在某些个体中,对一个或另一个特征进行细微调整(使用非CPAP药物可能可以实现)可能如何治疗OSA。可以想象,该技术可在临床上用于定义患者的生理状况,并根据这些特征指导治疗。

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