诊断睡眠呼吸障碍的新方法
New Approaches to Diagnosing Sleep-Disordered Breathing.
作者信息
Sands Scott A, Owens Robert L, Malhotra Atul
机构信息
Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA; Department of Allergy, Immunology and Respiratory Medicine and Central Clinical School, The Alfred and Monash University, 55 Commercial Road, Prahran, Victoria 3181, Australia.
Division of Pulmonary and Critical Care Medicine, University of California San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA.
出版信息
Sleep Med Clin. 2016 Jun;11(2):143-52. doi: 10.1016/j.jsmc.2016.01.005. Epub 2016 Mar 4.
Novel concepts and technological advances have the potential to change the landscape on which clinical sleep medicine is practiced. Screening for sleep apnea will take advantage of readily available mobile telephone technology (sound, accelerometers) to enable widespread recognition of sleep-disordered breathing. Advanced computer-assisted scoring algorithms will improve efficiency and reliability of sleep apnea diagnoses. As the field adopts a personalized approach to therapies, methods to determine the mechanisms of sleep apnea in individuals will be developed-utilizing simplified tests and available recordings-with the promise of predicting outcomes of novel therapies.
新的概念和技术进步有可能改变临床睡眠医学的实践格局。利用现成的移动电话技术（声音、加速度计）进行睡眠呼吸暂停筛查，将使睡眠呼吸障碍得到广泛识别。先进的计算机辅助评分算法将提高睡眠呼吸暂停诊断的效率和可靠性。随着该领域采用个性化治疗方法，将开发出利用简化测试和现有记录来确定个体睡眠呼吸暂停机制的方法，有望预测新疗法的效果。
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