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Nox-T3 设备评分算法对阻塞性睡眠呼吸暂停的诊断足够准确吗?

Is the Nox-T3 device scoring algorithm accurate enough for the diagnosis of obstructive sleep apnea?

机构信息

Pulmonology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.

出版信息

Adv Respir Med. 2021;89(3):262-267. doi: 10.5603/ARM.a2021.0053.

DOI:10.5603/ARM.a2021.0053
PMID:34196378
Abstract

INTRODUCTION

Obstructive sleep apnea (OSA) is highly prevalent. Home sleep apnea testing (HSAT) for OSA is rapidly expanding because of its cost effectiveness in the diagnosis of OSA. Type 3 portable monitors are used for this purpose. In most cases, these devices contain an algorithm for automatic scoring of events. We propose to study the accuracy of the automatic scoring algorithm in our population in order to compare it with the manually edited scoring of Nox-T3®.

MATERIAL AND METHODS

For five months, a prospective study was performed. Patients were randomly distributed to the available HSAT devices. We collected the data of patients who performed HSAT with Nox-T3®. We used normality plots, the Spearman correlation, the Wilcoxon signed-rank test, and Bland-Altman plots.

RESULTS

The sample consisted of 283 participants. The average manual apnea and hypopnea index (AHI) was 23.7 ± 22.1 events/h. All manual scores (AHI, apnea index, hypopnea index, and oxygen desaturation index) had strong correlations with their respective automated scores. When AHI > 15 and AHI > 30 the difference between the values of this index (automatic and manual) was not statistically significant. Also, for AHI values > 15 the mean difference between the two scoring methods was 0.17 events/h. For AHI values > 30, this difference was - 1.23 events/h.

CONCLUSIONS

When AHI is < 15, there may be a need for confirmation of automatic scores, especially in symptomatic patients with a high pretest probability of OSA. But, for patients with AHI > 15, automatic scores obtained from this device seem accurate enough to diagnose OSA in the correct clinical setting.

摘要

介绍

阻塞性睡眠呼吸暂停(OSA)的发病率很高。由于在家进行睡眠呼吸暂停测试(HSAT)在诊断 OSA 方面具有成本效益,因此这种测试正在迅速普及。为此目的,使用了 3 型便携式监测仪。在大多数情况下,这些设备包含用于自动评分事件的算法。我们建议研究该算法在我们人群中的准确性,以便将其与 Nox-T3®的手动编辑评分进行比较。

材料和方法

在五个月的时间里进行了一项前瞻性研究。患者被随机分配到可用的 HSAT 设备中。我们收集了使用 Nox-T3®进行 HSAT 的患者的数据。我们使用正态性图、Spearman 相关系数、Wilcoxon 符号秩检验和 Bland-Altman 图。

结果

样本包括 283 名参与者。平均手动呼吸暂停和低通气指数(AHI)为 23.7 ± 22.1 次/小时。所有手动评分(AHI、呼吸暂停指数、低通气指数和氧减指数)与各自的自动评分均具有很强的相关性。当 AHI > 15 和 AHI > 30 时,该指数(自动和手动)的值之间的差异无统计学意义。此外,对于 AHI 值> 15,两种评分方法之间的平均差异为 0.17 次/小时。对于 AHI 值> 30,这种差异为-1.23 次/小时。

结论

当 AHI < 15 时,可能需要确认自动评分,尤其是在有高 OSA 术前概率且有症状的患者中。但是,对于 AHI > 15 的患者,从该设备获得的自动评分似乎足以在正确的临床环境中诊断 OSA。

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