Suppr超能文献

[呼吸多导仪系统在睡眠呼吸暂停综合征诊断中的验证]

[Validation of a respiratory polygraphy system in the diagnosis of sleep apnea syndrome].

作者信息

Candela A, Hernández L, Asensio S, Sánchez-Payá J, Vila J, Benito N, Romero S

机构信息

Servicio de Neumología, Hospital General Universitario de Alicante, Alicante, Spain.

出版信息

Arch Bronconeumol. 2005 Feb;41(2):71-7. doi: 10.1016/s1579-2129(06)60400-x.

Abstract

OBJECTIVE

To validate a cardiorespiratory polygraphy system (BITMED NGP 140) by comparing it to conventional polysomnography in the diagnosis of sleep apnea-hypopnea syndrome.

PATIENTS AND METHODS

Polysomnography and cardio-respiratory polygraphy were performed simultaneously on 103 consecutive patients referred because of suspected sleep apnea-hypopnea syndrome. The Bland and Altman method and intraclass correlation coefficients were used to assess agreement between the 2 methods of measurement. Receiver operating characteristic (ROC) curves were used to calculate the yield of cardiorespiratory polygraphy compared to that of conventional polysomnography.

RESULTS

Ninety-two valid studies were obtained for 72 men and 20 women (mean [SD] age: 52.4 [12] years). By the Bland and Altman method, the difference between the respiratory event index obtained with the BITMED NGP140 and the apnea-hypopnea index (AHI) obtained by conventional polysomnography was 7.6 (13.2) in the manual analysis (95% confidence interval [CI], 4.9-10.4) and 12 (15.3) (95% CI, 8.8-15.3) in the automatic analysis. For a corrected AHI (AH/total time in bed) mean differences were -2.2 (5.9) and 2.4 (8.2) for manual and automatic analysis. The intraclass correlation coefficients were greater than 0.94. The areas under the ROC curves of the respiratory event index were greater than 0.97 for all cut points. For an AHI of 30 or higher, the best cut-off point determined by manual cardiorespiratory polygraphy analysis was 27 (sensitivity, 98% and specificity, 98%). For the different cut-off points cardiorespiratory polygraphy correctly classified between 92% and 98% of patients in both the manual and automatic analyses.

CONCLUSIONS

The BITMED NGP140 had good agreement with conventional polysomnography for the measurement of respiratory events and provided high diagnostic yield.

摘要

目的

通过将心肺多导睡眠图系统(BITMED NGP 140)与传统多导睡眠图进行比较,以验证其在诊断睡眠呼吸暂停低通气综合征中的应用。

患者与方法

对103例因疑似睡眠呼吸暂停低通气综合征而转诊的连续患者同时进行多导睡眠图和心肺多导睡眠图检查。采用Bland和Altman方法以及组内相关系数来评估两种测量方法之间的一致性。使用受试者工作特征(ROC)曲线来计算与传统多导睡眠图相比心肺多导睡眠图的诊断效能。

结果

对72名男性和20名女性进行了92项有效研究(平均[标准差]年龄:52.4[12]岁)。采用Bland和Altman方法,在人工分析中,BITMED NGP140获得的呼吸事件指数与传统多导睡眠图获得的呼吸暂停低通气指数(AHI)之间的差异为7.6(13.2)(95%置信区间[CI],4.9 - 10.4),在自动分析中为12(15.3)(95%CI,8.8 - 15.3)。对于校正后的AHI(AH/总卧床时间),人工分析和自动分析的平均差异分别为 -2.2(5.9)和2.4(8.2)。组内相关系数大于0.94。呼吸事件指数的ROC曲线下面积在所有切点处均大于0.97。对于AHI为30或更高的情况,人工心肺多导睡眠图分析确定的最佳切点为27(敏感性为98%,特异性为98%)。对于不同的切点,心肺多导睡眠图在人工和自动分析中对92%至98%的患者进行了正确分类。

结论

BITMED NGP140在呼吸事件测量方面与传统多导睡眠图具有良好的一致性,并具有较高的诊断效能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验