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在缺血性中风急性期筛查睡眠呼吸暂停的无人值守睡眠研究。

Unattended sleep study in screening for sleep apnea in the acute phase of ischemic stroke.

机构信息

Respiratory Medicine Unit, Institute of Clinical Medicine, Oulu University Hospital, MRC Oulu, Finland.

Department of Neurology, Oulu University Hospital, Finland.

出版信息

Sleep Med. 2020 Jan;65:121-126. doi: 10.1016/j.sleep.2019.08.002. Epub 2019 Aug 8.

Abstract

OBJECTIVES

We aimed to compare the feasibility of automatically and manually scored cardiorespiratory polygraphy results for sleep apnea screening in the acute phase of ischemic stroke.

METHODS

Prospective study included 204 ischemic stroke patients, who underwent nocturnal unattended portable monitoring with three-channel device during 48 h after onset of stroke symptoms. Sleep apnea diagnosis was determined as a respiratory event index (REI) ≥5/hour.

RESULTS

The mean age of the patients was 67.7 years and 62.7% were males. Automatic scoring identified sleep apnea in 148/72.5% and manual scoring in 186/91.2% of patients, showing moderate agreement (Kappa value 0.407). Of the cohort, 39 (19.1%) patients fulfilled the criteria for diagnosis of central sleep apnea (CSA) (>50% of events central) and 165 (80.9%) had obstructive sleep apnea (OSA). Automatic scoring identified poorly the type of events, and missed 18.6% of recordings. Oxygen desaturation 4% index (ODI4), interclass correlation coefficient (ICC) value 0.993, (95% CI 0.990-0.994), lowest saturation (ICC value 0.989, 95% CI 0.985-0.991) and percent of time spent <90% (ICC value 0.987, 95% CI 0.982-0.990) showed excellent agreement. Interclass correlation value for REI was 0.869 (95% CI 0.828 to 0.901) and ICC value 0.848 (95% CI 0.800 to 0.885) for obstructive apnea index, both indicating good agreement. Automatic scoring underestimated the severity of sleep apnea.

CONCLUSIONS

Both automatically and manually scored results recognized sleep apnea, albeit manual scoring identified more sleep apnea. Sleep apnea diagnosis agreement was moderate. Underestimation of the severity of sleep apnea by automatic scoring may result in undertreatment of sleep apnea.

CLINICAL TRIAL REGISTRATION

URL:http://www.clinicaltrials.cov. Unique identifier: NCT01861275.

摘要

目的

我们旨在比较自动和手动评分的心肺多导睡眠图结果在缺血性卒中急性期筛查睡眠呼吸暂停的可行性。

方法

前瞻性研究纳入 204 例缺血性卒中患者,他们在卒中症状发作后 48 小时内接受了夜间无人值守的便携式三通道设备监测。睡眠呼吸暂停的诊断标准为呼吸事件指数(REI)≥5/小时。

结果

患者的平均年龄为 67.7 岁,62.7%为男性。自动评分在 148/72.5%的患者中识别出睡眠呼吸暂停,在 186/91.2%的患者中识别出手动评分,显示出中度一致性(Kappa 值 0.407)。在该队列中,39 例(19.1%)患者符合中枢性睡眠呼吸暂停(CSA)的诊断标准(>50%的事件为中枢性),165 例(80.9%)患有阻塞性睡眠呼吸暂停(OSA)。自动评分无法准确识别事件类型,漏诊了 18.6%的记录。4%氧减指数(ODI4)、组间相关系数(ICC)值 0.993(95%置信区间 0.990-0.994)、最低饱和度(ICC 值 0.989,95%置信区间 0.985-0.991)和<90%时间百分比(ICC 值 0.987,95%置信区间 0.982-0.990)显示出极好的一致性。REI 的组间相关系数值为 0.869(95%置信区间 0.828-0.901),阻塞性呼吸暂停指数的 ICC 值为 0.848(95%置信区间 0.800-0.885),均表明一致性良好。自动评分低估了睡眠呼吸暂停的严重程度。

结论

自动和手动评分都可以识别睡眠呼吸暂停,尽管手动评分识别出更多的睡眠呼吸暂停。睡眠呼吸暂停的诊断一致性为中度。自动评分对睡眠呼吸暂停严重程度的低估可能导致对睡眠呼吸暂停的治疗不足。

临床试验注册

网址:http://www.clinicaltrials.gov。唯一标识符:NCT01861275。

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