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利用夜间睡眠研究中的呼吸事件低血氧饱和度瞬变面积预测心血管结局。

Predicting Cardiovascular Outcomes Using the Respiratory Event Desaturation Transient Area Derived from Overnight Sleep Studies.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:5496-5499. doi: 10.1109/EMBC46164.2021.9630610.

Abstract

A new method for calculation of an overnight oximetry signal metric which is predictive of cardiovascular disease (CVD) outcomes in individuals undergoing an overnight sleep test is presented. The metric - the respiratory event desaturation transient area (REDTA) - quantifies the desaturation associated with respiratory events. Data from the Sleep Heart Health Study, which includes overnight oximetry signals and long-term CVD outcomes, was used to develop and test the parameter. Performance of the REDTA parameter was assessed using Cox proportional hazard ratios and compared to established metrics of hypoxia. Results show that hazard ratios in adjusted Cox analysis for predicting cardiovascular death using REDTA are up to 1.90 (95%CI: 1.22-2.96) which compares with the best of the established metrics. A big advantage of our metric compared to other high performing metrics is its ease of computation.

摘要

提出了一种新的计算方法,用于计算预测接受整夜睡眠测试的个体心血管疾病(CVD)结局的血氧仪信号指标。该指标 - 呼吸事件去饱和瞬态面积(REDTA) - 量化了与呼吸事件相关的去饱和情况。该参数使用睡眠心脏健康研究的数据进行了开发和测试,该研究包括整夜血氧仪信号和长期 CVD 结局。使用 Cox 比例风险比评估 REDTA 参数的性能,并与缺氧的既定指标进行比较。结果表明,使用 REDTA 预测心血管死亡的调整 Cox 分析中的风险比高达 1.90(95%CI:1.22-2.96),与最佳既定指标相当。与其他高性能指标相比,我们的指标的一个主要优势是易于计算。

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