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夜间呼吸暂停-低通气指数的变化会影响阻塞性睡眠呼吸暂停的诊断和预后。

Intra-night variation in apnea-hypopnea index affects diagnostics and prognostics of obstructive sleep apnea.

机构信息

Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.

Department of Clinical Neurophysiology, Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.

出版信息

Sleep Breath. 2020 Mar;24(1):379-386. doi: 10.1007/s11325-019-01885-5. Epub 2019 Jul 11.

Abstract

BACKGROUND

Diagnostics of obstructive sleep apnea (OSA) is based on apnea-hypopnea index (AHI) determined as full-night average of occurred events. We investigate our hypothesis that intra-night variation in the frequency of obstructive events affects diagnostics and prognostics of OSA and should therefore be considered in clinical practice.

METHODS

Polygraphic recordings of 1989 patients (mean follow-up 18.3 years) with suspected OSA were analyzed. Number and severity of individual obstructive events were calculated hourly for the first 6 h of sleep. OSA severity was determined based on the full-night AHI and AHI for the 2 h when the obstructive event frequency was highest (AHI). Hazard ratios for all-cause, cardiovascular, and non-cardiovascular mortalities were calculated for different OSA severity categories based on the full-night AHI and AHI.

RESULTS

Frequency and duration of obstructive events varied hour-by-hour increasing towards morning. Using AHI led to a statistically significant rearrangement of patients between the OSA severity categories. The use of AHI for severity classification showed clearer relationship between the OSA severity and mortality than the full-night AHI.

CONCLUSIONS

Currently, the intra-night variation in frequency and severity of obstructive events is completely ignored by conventional, full-night AHI and considering this information could improve the diagnostics of OSA.

摘要

背景

阻塞性睡眠呼吸暂停(OSA)的诊断基于作为发生事件的全夜平均值的呼吸暂停-低通气指数(AHI)确定。我们调查了我们的假设,即阻塞性事件频率的夜间内变化会影响 OSA 的诊断和预后,因此应在临床实践中考虑。

方法

分析了 1989 名疑似 OSA 患者的多导睡眠图记录(平均随访 18.3 年)。计算了睡眠前 6 小时内每小时单个阻塞性事件的数量和严重程度。根据全夜 AHI 和阻塞性事件频率最高时的 2 小时 AHI(AHI)确定 OSA 严重程度。根据全夜 AHI 和 AHI,基于不同的 OSA 严重程度类别计算了全因、心血管和非心血管死亡率的风险比。

结果

阻塞性事件的频率和持续时间逐小时变化,逐渐增加直至早晨。使用 AHI 导致患者在 OSA 严重程度类别之间进行了统计学上的重新排列。使用 AHI 进行严重程度分类与全夜 AHI 相比,更清楚地显示了 OSA 严重程度与死亡率之间的关系。

结论

目前,常规的全夜 AHI 完全忽略了夜间频率和严重程度的变化,考虑这些信息可以改善 OSA 的诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a82/7127992/f7859a6e4b20/11325_2019_1885_Fig1_HTML.jpg

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