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Somnolyzer 24×7自动评分系统在疑似阻塞性睡眠呼吸暂停儿童中的验证

Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea.

作者信息

Boira Ignacio, Esteban Violeta, Sancho-Chust José Norberto, Pastor Esther, Fernández-Martínez Paula, Torba Anastasiya, Chiner Eusebi

机构信息

Department of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.

出版信息

Front Med (Lausanne). 2025 Jun 18;12:1617530. doi: 10.3389/fmed.2025.1617530. eCollection 2025.

Abstract

INTRODUCTION

Manual scoring of polysomnography data is a laborious and complex process. Automatic scoring by current computer algorithms shows high agreement with manual scoring. The primary objective of this study was to measure the overall validity of the Somnolyzer 24×7 automatic polysomnography scoring system in children.

MATERIALS AND METHODS

We conducted a single-center, prospective, observational study in children undergoing diagnostic polysomnography for suspected obstructive sleep apnea (OSA) from December 2023 to December 2024. We included children aged three to 15 years with suspected obstructive sleep apnea (OSA). Each polysomnogram was scored manually by three experts and automatically by the Somnolyzer 24×7 system.

RESULTS

Our analysis included 75 children (60% girls), of whom 9% did not have OSA, 20% had mild OSA, 31% moderate OSA, and 40% severe OSA. There was a high level of agreement between manual and automatic scoring of the respiratory disturbance index (RDI). The mean correlation (Pearson correlation coefficient) of RDI scored by the three experts was 0.93 (95% confidence interval [CI] 0.92-0.95), similar to the correlation between manual and automatic scoring (0.92, 95% CI 0.90-0.94). The correlation between the different manual scorings and between manual and automatic scoring was maintained in the different sleep stages (N1: 0.93 vs. 0.90, N2: 0.76 vs. 0.73, N3: 0.72 vs. 0.76, REM: 0.86 vs. 0.82).

CONCLUSION

The Somnolyzer 24×7 automatic scoring system shows strong correlation with manual scoring in respiratory events and sleep architecture. Our results suggest this system could be used for polysomnography scoring in children.

摘要

引言

多导睡眠图数据的人工评分是一个费力且复杂的过程。当前计算机算法进行的自动评分与人工评分高度一致。本研究的主要目的是评估Somnolyzer 24×7自动多导睡眠图评分系统在儿童中的整体有效性。

材料与方法

我们于2023年12月至2024年12月对因疑似阻塞性睡眠呼吸暂停(OSA)而接受诊断性多导睡眠图检查的儿童进行了一项单中心、前瞻性观察性研究。我们纳入了3至15岁疑似阻塞性睡眠呼吸暂停(OSA)的儿童。每份多导睡眠图由三位专家进行人工评分,并由Somnolyzer 24×7系统进行自动评分。

结果

我们的分析纳入了75名儿童(60%为女孩),其中9%没有OSA,20%患有轻度OSA,31%患有中度OSA,40%患有重度OSA。呼吸紊乱指数(RDI)的人工评分与自动评分之间具有高度一致性。三位专家对RDI评分的平均相关性(Pearson相关系数)为0.93(95%置信区间[CI] 0.92 - 0.95),与人工评分和自动评分之间的相关性(0.92,95% CI 0.90 - 0.94)相似。不同人工评分之间以及人工评分与自动评分之间的相关性在不同睡眠阶段均保持(N1:0.93对0.90,N2:0.76对0.73,N3:0.72对0.76,快速眼动期:0.86对0.82)。

结论

Somnolyzer 24×7自动评分系统在呼吸事件和睡眠结构方面与人工评分显示出很强的相关性。我们的结果表明该系统可用于儿童多导睡眠图评分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee51/12213436/bb1ce9fe098d/fmed-12-1617530-g001.jpg

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