Hoel Hans Christian, Kvinnesland Knut, Berg Søren
Department of Oto-Rhino-Laryngology, Head and Neck Surgery and Sleep Medicine, Lovisenberg Diaconal Hospital, Norway; Medical Faculty, University of Lund, Sweden.
Department of Oto-Rhino-Laryngology, Head and Neck Surgery and Sleep Medicine, Lovisenberg Diaconal Hospital, Norway.
Sleep Med. 2020 Jul;71:83-88. doi: 10.1016/j.sleep.2020.03.024. Epub 2020 Apr 17.
This study aims to investigate how increased nasal resistance affects respiratory variables in obstructive sleep apnea (OSA). In this setting, to assess how nasal resistance, as measured by 4-phase rhinomanometry, affects the distribution of hypopneas and apneas when measured with routine Sleep Polygraphy (PG).
PG recordings were analysed and 4-phase rhinomanometry was conducted. Crude differences between groups were compared using Mann-Whitney Wilkoxon test. Odds for higher nasal resistance were modelled using logistic regression. All tests were two-sided. P < 0.05 was considered statistically significant.
In sum, 126 OSA patients referred to our center examined with PG were included. OSA Patients with a higher ratio of hypopneas relative to apneas are more than three times more likely (OR = 3.72, 95%CI [1.30-10.66], p = 0.015) to have increased nasal resistance as measured by 4-phase rhinomanometry, compared to those who have a lower ratio of hypopneas relative to apneas, regardless of OSA severity. The median Hypopnea to Apnea Ratio (HAR) in the low nasal resistance group was 0.8 compared to 2.6 in the high nasal resistance group (p = 0.000). The median apnea index in the low nasal resistance group was 13.6, in the high nasal group it was 5.2 (p = 0.001).
Our investigation shows that OSA patients presenting with increased nasal resistance demonstrate significant differences in the distribution of hypopneas and apneas. OSA patients with increased nasal resistance exhibit a significantly lower apnea index and a higher hypopnea to apnea ratio compared to OSA patients presenting with low nasal resistance. Thus, analysis of the HAR in sleep studies is a useful tool to identify patients who may potentially have nasal obstruction as part of their respiratory pathophysiology. We therefore recommend that OSA patients with a predominance of hypopneas relative to apneas should undergo further nasal measurements.
本研究旨在探讨鼻阻力增加如何影响阻塞性睡眠呼吸暂停(OSA)患者的呼吸变量。在此背景下,评估通过四相鼻阻力计测量的鼻阻力如何影响使用常规睡眠多导监测(PG)时低通气和呼吸暂停的分布情况。
对PG记录进行分析,并进行四相鼻阻力计测量。使用曼-惠特尼-威尔科克森检验比较组间的原始差异。使用逻辑回归对鼻阻力较高的几率进行建模。所有检验均为双侧检验。P < 0.05被认为具有统计学意义。
总计纳入了126名转诊至我们中心并接受PG检查的OSA患者。与低通气与呼吸暂停比值较低的OSA患者相比,低通气与呼吸暂停比值较高的OSA患者通过四相鼻阻力计测量的鼻阻力增加的可能性要高出三倍多(OR = 3.72,95%CI [1.30 - 10.66],p = 0.015),无论OSA的严重程度如何。低鼻阻力组的低通气与呼吸暂停比值(HAR)中位数为0.8,而高鼻阻力组为2.6(p = 0.000)。低鼻阻力组的呼吸暂停指数中位数为13.6,高鼻阻力组为5.2(p = 0.001)。
我们的研究表明,鼻阻力增加的OSA患者在低通气和呼吸暂停的分布上存在显著差异。与鼻阻力低的OSA患者相比,鼻阻力增加的OSA患者的呼吸暂停指数显著更低,低通气与呼吸暂停比值更高。因此,在睡眠研究中分析HAR是识别可能存在鼻腔阻塞作为其呼吸病理生理学一部分的患者的有用工具。因此,我们建议低通气相对于呼吸暂停占优势的OSA患者应接受进一步的鼻腔测量。