Metrics of sleep apnea severity: beyond the apnea-hypopnea index

被引:257
作者
Malhotra, Atul [1 ]
Ayappa, Indu [2 ]
Ayas, Najib [3 ]
Collop, Nancy [4 ]
Kirsch, Douglas [5 ]
Mcardle, Nigel [6 ]
Mehra, Reena [7 ]
Pack, Allan, I [8 ]
Punjabi, Naresh [9 ]
White, David P. [10 ]
Gottlieb, Daniel J. [11 ]
机构
[1] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA
[2] Mt Sinai, Dept Med, New York, NY USA
[3] Univ British Columbia, Dept Med, Vancouver, BC, Canada
[4] Emory Univ, Dept Med, Atlanta, GA 30322 USA
[5] Atrium Hlth, Dept Med, Atrium Hlth Sleep Med, Charlotte, NC USA
[6] Univ Western Australia, Dept Med, Perth, WA, Australia
[7] Cleveland Clin, Dept Med, Cleveland, OH 44106 USA
[8] Univ Penn, Dept Med, Philadelphia, PA 19104 USA
[9] Univ Miami, Dept Med, Miami, FL USA
[10] Alairion Pharmaceut Cambridge, Cambridge, MA USA
[11] VA Boston Healthcare Syst, Med Serv, Boston, MA USA
基金
英国医学研究理事会; 美国国家卫生研究院; 加拿大健康研究院;
关键词
sleep; apnea; hypoxia; cardiovascular; lung; hypopnea; POSITIVE AIRWAY PRESSURE; EXCESSIVE DAYTIME SLEEPINESS; CORONARY-ARTERY-DISEASE; QUALITY-OF-LIFE; MOTOR-VEHICLE CRASH; ALL-CAUSE MORTALITY; ODDS RATIO PRODUCT; BLOOD-PRESSURE; RISK-FACTOR; INTERMITTENT HYPOXIA;
D O I
10.1093/sleep/zsab030
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Obstructive sleep apnea (OSA) is thought to affect almost 1 billion people worldwide. OSA has well established cardiovascular and neurocognitive sequelae, although the optimal metric to assess its severity and/or potential response to therapy remains unclear. The apnea-hypopnea index (AHI) is well established; thus, we review its history and predictive value in various different clinical contexts. Although the AHI is often criticized for its limitations, it remains the best studied metric of OSA severity, albeit imperfect. We further review the potential value of alternative metrics including hypoxic burden, arousal intensity, odds ratio product, and cardiopulmonary coupling. We conclude with possible future directions to capture clinically meaningful OSA endophenotypes including the use of genetics, blood biomarkers, machine/deep learning and wearable technologies. Further research in OSA should be directed towards providing diagnostic and prognostic information to make the OSA diagnosis more accessible and to improving prognostic information regarding OSA consequences, in order to guide patient care and to help in the design of future clinical trials.
引用
收藏
页数:16
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