Respiratory-related leg movement as a predictor of mortality: the Osteoporotic Fractures in Men Sleep Study

呼吸相关腿部运动作为死亡率预测指标:男性骨质疏松性骨折睡眠研究

阅读:1

Abstract

STUDY OBJECTIVES: Respiratory event-related leg movements (RRLMs) in obstructive sleep apnea may reflect event severity and predict adverse outcomes. This study examines the association between RRLM frequency and mortality. METHODS: A sample of 571 men (median [IQR] age: 76.0 [72.0-81.0] years; BMI: 28.0 [25.0-30.0] kg/m2) with an apnea-hypopnea index (AHI, ≥3 per cent desaturation) ≥10 events/h was selected based on available incident data and annotations of RRLMs, from the Osteoporotic Fractures in Men Studies . RRLMs were scored if they occurred within ±5 s of respiratory event termination lasting 0.5-10 s; the average number of RRLMs per hour of sleep respiratory-related leg movement index (RRLMI) was measured. For comparison, the number of periodic leg movements of sleep (PLMS) per hour of sleep (PLMI) was also quantified. Cox regression models estimated the adjusted hazard ratios (aHR) for mortality per SD increase in RRLMI and PLMI. Secondary analyses assessed the relationship between RRLM duration (i.e. a measure of RRLM strength) and measures of event severity (i.e. desaturation area, arousal, heart rate response, and event duration). RESULTS: There were 287 all-cause deaths during 11.4 [6.9;12.5] years of follow-up. RRLMI and PLMI were 6.0 [3.4;9.3] and 22.0 [2.0;54.0] events/h, respectively. In an adjusted model, every 1SD increase in RRLMI was associated with all-cause mortality (aHR: 1.17 [95% CI: 1.01-1.34], p-value = .03). In contrast, PLMI was not associated with mortality (aHR: 1.04 [95% CI: 0.92-1.17], p-value = .5). Furthermore, RRLM duration was linked to measures of event severity. CONCLUSIONS: In a sample of older men with obstructive sleep apnea, RRLMI was independently associated with all-cause mortality, whereas PLMI was not, though confirmatory studies are needed.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。