Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Department of Bioelectric and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran; and.
Ann Am Thorac Soc. 2023 Nov;20(11):1633-1641. doi: 10.1513/AnnalsATS.202303-248OC.
Recent studies have shown that sleep apnea-specific intermittent hypoxemia quantified by the hypoxic burden (HB) predicted cardiovascular disease (CVD)-related mortality in community-based and clinical cohorts. Calculation of HB is based on manual scoring of hypopneas and apneas, which is time-consuming and prone to interscorer variability. To validate a novel method to quantify the HB that is based on automatically scored desaturations. The sample included 5,655 middle-aged or older adults from the Sleep Heart Health Study (52.8% women; age, 63.2 ± 11.3 yr). The original HB method was based on a subject-specific search window obtained from an ensemble average of oxygen saturation signals (as measured by pulse oximetry) and synchronized with respect to the termination of scored respiratory events. In this study, however, the search window was obtained from ensemble average of oxygen saturation signals that synchronized with respect to the minimum of all automatically identified desaturations (⩾2% and other thresholds, including 3% and 4%, in sensitivity analyses). The time interval between the two maxima around the minimum saturation was defined as the search window. The oximetry-derived HB (HB) was defined as the total area under all desaturation curves (restricted by the search window) divided by the total sleep time. Logistic and Cox regression models assessed the adjusted odds ratio (aOR)/hazard ratio of excessive daytime sleepiness (EDS), hypertension (HTN), and CVD mortality per 1-standard deviation increase in HB after adjusting for several covariates and confounders. The Spearman's rank correlation between HB (median [interquartile range], 34.4 [18.4-59.8] % min/h) and HB (median [interquartile range], 34.5 [21.6-53.8] % min/h) was 0.81 ( < 0.001). Similar to HB, HB was significantly associated with EDS (aOR [95% confidence interval (CI)], 1.17 [1.09-1.26] per standard deviation), HTN (aOR [95% CI], 1.13 [1.05-1.21]), and CVD mortality (adjusted hazard ratio [95% CI], 1.15 [1.01-1.30]) in fully adjusted models. The HB was highly correlated with the HB based on manually scored apneas and hypopneas and was associated with EDS, HTN, and CVD mortality with similar effect sizes as previously reported. This method could be incorporated into wearable technology that accurately records oxygen saturation signals.
最近的研究表明,通过缺氧负担 (HB) 量化的睡眠呼吸暂停特异性间歇性低氧血症可预测社区和临床队列中与心血管疾病 (CVD) 相关的死亡率。HB 的计算基于对低通气和呼吸暂停的手动评分,这既耗时又容易受到评分者之间的差异影响。为了验证一种新的基于自动评分下的血氧饱和度下降来量化 HB 的方法。该样本包括来自睡眠心脏健康研究的 5655 名中老年人或老年人(52.8%为女性;年龄 63.2±11.3 岁)。原始的 HB 方法基于从通过脉搏血氧仪测量的氧饱和度信号的集合平均值中获得的针对每个个体的搜索窗口,并与评分呼吸事件的结束同步。然而,在这项研究中,搜索窗口是从与所有自动识别的血氧饱和度下降的最小值同步的集合平均值中获得的(≧2%,灵敏度分析中还包括 3%和 4%)。饱和度最小值周围两个最大值之间的时间间隔定义为搜索窗口。从血氧仪得出的 HB(HB)定义为所有下降曲线(受搜索窗口限制)的总面积除以总睡眠时间。逻辑和 Cox 回归模型评估了 HB 每增加 1 个标准差时,过度日间嗜睡 (EDS)、高血压 (HTN) 和 CVD 死亡率的调整后优势比 (aOR)/风险比,调整了几个协变量和混杂因素。HB(中位数 [四分位距],34.4 [18.4-59.8]% min/h)和 HB(中位数 [四分位距],34.5 [21.6-53.8]% min/h)之间的 Spearman 秩相关系数为 0.81(<0.001)。与 HB 相似,HB 与 EDS(aOR [95%置信区间 (CI)],1.17 [1.09-1.26] 每标准差)、HTN(aOR [95%CI],1.13 [1.05-1.21])和 CVD 死亡率(调整后的危险比 [95%CI],1.15 [1.01-1.30])显著相关,在完全调整的模型中。HB 与基于手动评分的呼吸暂停和低通气的 HB 高度相关,与 EDS、HTN 和 CVD 死亡率相关,其影响大小与之前报道的相似。这种方法可以纳入能够准确记录氧饱和度信号的可穿戴技术中。