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睡眠呼吸暂停的低氧负荷可预测心血管疾病相关死亡率:男性骨质疏松性骨折研究和睡眠心脏健康研究。

The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study.

机构信息

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Sleep Disordered Breathing Lab, 221 Longwood Avenue, Boston, MA, USA.

Research Institute, California Pacific Medical Center, 550 16th Street, 2nd Floor, San Francisco, CA, USA.

出版信息

Eur Heart J. 2019 Apr 7;40(14):1149-1157. doi: 10.1093/eurheartj/ehy624.

Abstract

AIMS

Apnoea-hypopnoea index (AHI), the universal clinical metric of sleep apnoea severity, poorly predicts the adverse outcomes of sleep apnoea, potentially because the AHI, a frequency measure, does not adequately capture disease burden. Therefore, we sought to evaluate whether quantifying the severity of sleep apnoea by the 'hypoxic burden' would predict mortality among adults aged 40 and older.

METHODS AND RESULTS

The samples were derived from two cohort studies: The Outcomes of Sleep Disorders in Older Men (MrOS), which included 2743 men, age 76.3 ± 5.5 years; and the Sleep Heart Health Study (SHHS), which included 5111 middle-aged and older adults (52.8% women), age: 63.7 ± 10.9 years. The outcomes were all-cause and Cardiovascular disease (CVD)-related mortality. The hypoxic burden was determined by measuring the respiratory event-associated area under the desaturation curve from pre-event baseline. Cox models were used to calculate the adjusted hazard ratios for hypoxic burden. Unlike the AHI, the hypoxic burden strongly predicted CVD mortality and all-cause mortality (only in MrOS). Individuals in the MrOS study with hypoxic burden in the highest two quintiles had hazard ratios of 1.81 [95% confidence interval (CI) 1.25-2.62] and 2.73 (95% CI 1.71-4.36), respectively. Similarly, the group in the SHHS with hypoxic burden in the highest quintile had a hazard ratio of 1.96 (95% CI 1.11-3.43).

CONCLUSION

The 'hypoxic burden', an easily derived signal from overnight sleep study, predicts CVD mortality across populations. The findings suggest that not only the frequency but the depth and duration of sleep related upper airway obstructions, are important disease characterizing features.

摘要

目的

呼吸暂停-低通气指数(AHI)是睡眠呼吸暂停严重程度的通用临床指标,但它不能很好地预测睡眠呼吸暂停的不良后果,这可能是因为 AHI 作为一种频率测量指标,并不能充分捕捉疾病负担。因此,我们试图评估通过“缺氧负担”来量化睡眠呼吸暂停的严重程度是否可以预测 40 岁及以上成年人的死亡率。

方法和结果

样本来自两项队列研究:老年男性睡眠障碍结局研究(MrOS),纳入了 2743 名年龄 76.3±5.5 岁的男性;睡眠心脏健康研究(SHHS),纳入了 5111 名中年及老年人(52.8%为女性),年龄为 63.7±10.9 岁。结局是全因和心血管疾病(CVD)相关死亡率。缺氧负担通过测量事件前基线的呼吸事件相关脱氧曲线下面积来确定。Cox 模型用于计算缺氧负担的调整后的危险比。与 AHI 不同,缺氧负担强烈预测 CVD 死亡率和全因死亡率(仅在 MrOS 中)。在 MrOS 研究中,缺氧负担最高的两个五分位数组的个体的危险比分别为 1.81(95%置信区间 [CI] 1.25-2.62)和 2.73(95% CI 1.71-4.36)。同样,在 SHHS 中,缺氧负担最高五分位组的个体的危险比为 1.96(95% CI 1.11-3.43)。

结论

“缺氧负担”是一项从夜间睡眠研究中得出的简单信号,可以预测不同人群的 CVD 死亡率。这些发现表明,不仅频率,而且睡眠相关上气道阻塞的深度和持续时间,都是重要的疾病特征。

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