1 Oregon Institute of Occupational Health Sciences.
2 Department of Behavioral Neuroscience.
Am J Respir Crit Care Med. 2019 Apr 1;199(7):903-912. doi: 10.1164/rccm.201804-0758OC.
Obstructive sleep apnea is a risk factor for mortality, but its diagnostic metric-the apnea-hypopnea index-is a poor risk predictor. The apnea-hypopnea index does not capture the range of physiological variability within and between patients, such as degree of hypoxemia and sleep fragmentation, that reflect differences in pathophysiological contributions of airway collapsibility, chemoreceptive negative feedback loop gain, and arousal threshold.
To test whether respiratory event duration, a heritable sleep apnea trait reflective of arousal threshold, predicts all-cause mortality.
Mortality risk as a function of event duration was estimated by Cox proportional hazards in the Sleep Heart Health Study, a prospective community-based cohort. Gender-specific hazard ratios were also calculated.
Among 5,712 participants, 1,290 deaths occurred over 11 years of follow-up. After adjusting for demographic factors (mean age, 63 yr; 52% female), apnea-hypopnea index (mean, 13.8; SD, 15.0), smoking, and prevalent cardiometabolic disease, individuals with the shortest-duration events had a significant hazard ratio for all-cause mortality of 1.31 (95% confidence interval, 1.11-1.54). This relationship was observed in both men and women and was strongest in those with moderate sleep apnea (hazard ratio, 1.59; 95% confidence interval, 1.11-2.28).
Short respiratory event duration, a marker for low arousal threshold, predicts mortality in men and women. Individuals with shorter respiratory events may be predisposed to increased ventilatory instability and/or have augmented autonomic nervous system responses that increase the likelihood of adverse health outcomes, underscoring the importance of assessing physiological variation in obstructive sleep apnea.
阻塞性睡眠呼吸暂停是死亡的一个风险因素,但它的诊断指标——呼吸暂停低通气指数——是一个较差的风险预测因子。呼吸暂停低通气指数不能捕捉到患者个体内和个体之间的生理可变性范围,例如低氧血症和睡眠碎片化的程度,这些都反映了气道塌陷、化学感受性负反馈回路增益和觉醒阈值等病理生理因素的不同贡献。
测试呼吸事件持续时间(反映觉醒阈值的遗传性睡眠呼吸暂停特征)是否可以预测全因死亡率。
通过前瞻性社区为基础的队列研究——睡眠心脏健康研究,使用 Cox 比例风险估计死亡率风险作为事件持续时间的函数。还计算了性别特异性的危险比。
在 5712 名参与者中,1290 人在 11 年的随访期间死亡。在调整了人口统计学因素(平均年龄 63 岁;52%为女性)、呼吸暂停低通气指数(平均 13.8;SD 15.0)、吸烟和现患心血管代谢疾病后,具有最短持续时间事件的个体发生全因死亡率的危险比显著为 1.31(95%置信区间,1.11-1.54)。这种关系在男性和女性中都存在,在中度睡眠呼吸暂停患者中最强(危险比,1.59;95%置信区间,1.11-2.28)。
短呼吸事件持续时间,即低觉醒阈值的标志物,可预测男性和女性的死亡率。具有较短呼吸事件的个体可能易发生通气不稳定增加,或者具有增强的自主神经系统反应,从而增加不良健康结果的可能性,这凸显了评估阻塞性睡眠呼吸暂停中生理可变性的重要性。