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本文引用的文献

1
CPAP for Prevention of Cardiovascular Events in Obstructive Sleep Apnea.持续气道正压通气治疗阻塞性睡眠呼吸暂停对心血管事件的预防作用。
N Engl J Med. 2016 Sep 8;375(10):919-31. doi: 10.1056/NEJMoa1606599. Epub 2016 Aug 28.
2
High-resolution wrist-worn overnight oximetry has high positive predictive value for obstructive sleep apnea in a sleep study referral population.在睡眠研究转诊人群中，高分辨率腕式夜间血氧饱和度测定对阻塞性睡眠呼吸暂停具有较高的阳性预测价值。
Sleep Breath. 2016 May;20(2):583-7. doi: 10.1007/s11325-015-1251-6. Epub 2015 Sep 9.
3
The 2012 AASM Respiratory Event Criteria Increase the Incidence of Hypopneas in an Adult Sleep Center Population.2012年美国睡眠医学会（AASM）呼吸事件标准增加了成人睡眠中心人群中呼吸浅慢的发生率。
J Clin Sleep Med. 2015 Dec 15;11(12):1425-31. doi: 10.5664/jcsm.5280.
4
Type III home sleep testing versus pulse oximetry: is the respiratory disturbance index better than the oxygen desaturation index to predict the apnoea-hypopnoea index measured during laboratory polysomnography?Ⅲ型家庭睡眠监测与脉搏血氧饱和度测定：在预测实验室多导睡眠图测量的呼吸暂停低通气指数方面，呼吸紊乱指数是否优于氧饱和度下降指数？
BMJ Open. 2015 Jun 30;5(6):e007956. doi: 10.1136/bmjopen-2015-007956.
5
Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea.夜间血氧测定法用于诊断中度至重度阻塞性睡眠呼吸暂停患者的验证
BMC Pulm Med. 2015 Mar 20;15:24. doi: 10.1186/s12890-015-0017-z.
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Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study.普通人群中睡眠呼吸紊乱的患病率：HypnoLaus 研究。
Lancet Respir Med. 2015 Apr;3(4):310-8. doi: 10.1016/S2213-2600(15)00043-0. Epub 2015 Feb 12.
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A Comprehensive Evaluation of a Two-Channel Portable Monitor to "Rule in" Obstructive Sleep Apnea.对一款双通道便携式监测仪用于“确诊”阻塞性睡眠呼吸暂停的综合评估。
J Clin Sleep Med. 2015 Apr 15;11(4):433-44. doi: 10.5664/jcsm.4600.
8
Nocturnal intermittent hypoxia predicts prevalent hypertension in the European Sleep Apnoea Database cohort study.夜间间歇性低氧预测欧洲睡眠呼吸暂停数据库队列研究中的高血压患病率。
Eur Respir J. 2014 Oct;44(4):931-41. doi: 10.1183/09031936.00225113. Epub 2014 Aug 7.
9
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不同类型的睡眠软件之间，氧饱和度下降指数存在显著差异。

Oxygen Desaturation Index Differs Significantly Between Types of Sleep Software.

作者信息

Ng Yvonne, Joosten Simon A, Edwards Bradley A, Turton Anthony, Romios Helen, Samarasinghe Thilini, Landry Shane, Mansfield Darren R, Hamilton Garun S

机构信息

Department of Lung and Sleep Medicine, Monash Health, Victoria, Australia.

School of Clinical Sciences, Monash University, Victoria, Australia.

出版信息

J Clin Sleep Med. 2017 Apr 15;13(4):599-605. doi: 10.5664/jcsm.6552.

DOI:10.5664/jcsm.6552
PMID:28212692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5359337/
Abstract

STUDY OBJECTIVES

The aim of this study was to compare the oxygen desaturation index (ODI) generated by two different sleep software systems.

METHODS

Participants undergoing diagnostic polysomnography for suspected obstructive sleep apnea underwent simultaneous oximetry recording using the ResMed ApneaLink Plus device (AL) and Compumedics Profusion PSG3 system (Comp). The ODI was calculated by the algorithms in the respective software of each system. To determine if differences were due to algorithm or recording devices, the Comp software was also used to generate ODI values using oximetry data from the AL.

RESULTS

In 106 participants, there was good correlation but poor agreement in the ODI generated by the two systems. AL ODI values tended to be higher than Comp ODI values, but with significant variability. For ODI4%, bias was 4.4 events/h (95% limits of agreement -5.8 to 14.6 events/h). There was excellent correlation and agreement when the same oximetry raw data was analyzed by both systems. For ODI4%, bias was 0.03 events/h (95% limits of agreement -2.7 to 2.8 events/h). Similar results were evident when the ODI3% was used.

CONCLUSIONS

There is a clinically significant difference in ODI values generated by the two systems, likely due to device signal processing, rather than difference in ODI calculation algorithms.

摘要

研究目的

本研究旨在比较两种不同睡眠软件系统生成的氧饱和度下降指数（ODI）。

方法

对疑似阻塞性睡眠呼吸暂停而接受诊断性多导睡眠监测的参与者，使用瑞思迈ApneaLink Plus设备（AL）和Compumedics Profusion PSG3系统（Comp）同时进行血氧饱和度记录。ODI由每个系统各自软件中的算法计算得出。为确定差异是由于算法还是记录设备所致，Comp软件还用于利用来自AL的血氧饱和度数据生成ODI值。

结果

在106名参与者中，两个系统生成的ODI之间存在良好的相关性，但一致性较差。AL的ODI值往往高于Comp的ODI值，但存在显著变异性。对于ODI4%，偏差为4.4次事件/小时（95%一致性界限为-5.8至14.6次事件/小时）。当两个系统分析相同的血氧饱和度原始数据时，存在极好的相关性和一致性。对于ODI4%，偏差为0.03次事件/小时（95%一致性界限为-2.7至2.8次事件/小时）。使用ODI3%时也有类似结果。

结论

两个系统生成的ODI值存在临床显著差异，可能是由于设备信号处理，而非ODI计算算法的差异。