Comparative associations of oximetry patterns in Obstructive Sleep Apnea with incident cardiovascular disease.

Comparative associations of oximetry patterns in Obstructive Sleep Apnea with incident cardiovascular disease.
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DOI:
10.1093/sleep/zsac179
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发表时间:
2022-12-12
期刊:
影响因子:
5.6
通讯作者:
--
中科院分区:
医学2区
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--
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间歇性缺氧是将阻塞性睡眠呼吸暂停(OSA)与心血管疾病(CVD)联系起来的关键机制。血氧饱和度分析有助于了解哪些OSA表型与CVD风险相关。本研究的目的是比较不同血氧测量模式与阻塞性睡眠呼吸暂停症男性和女性心血管疾病发生率的关系。睡眠心脏健康研究数据用于分析。n = 2878名参与者(51.8%为女性,平均年龄63.5±10.5岁)患有OSA(呼吸暂停低通气指数[AHI]≥5次/小时),在基线或前2年随访期间无既往心血管疾病。采用四种血氧分析方法:去饱和特性分析、时间序列分析、功率谱密度分析和非线性分析。使用比例风险回归模型对31种结果血氧测量模式与CVD事件进行比较,该模型调整了年龄、种族、吸烟、BMI和性别。在总样本或男性中,OSA血氧测量模式与CVD事件之间没有关联。在女性中,CVD事件与时间序列分析(如SpO2分布标准差,HR 0.81, 95% CI 0.68-0.96, p = 0.014)和功率谱密度血氧仪模式(如全频段平均HR 0.75, 95% CI 0.59-0.95, p = 0.015)之间存在一定关联。综合比较OSA患者的基线血氧测量模式,发现与CVD的发展无关。没有明显的个体血氧饱和度模式可以作为OSA患者CVD风险表型的候选者,但一些模式显示与女性CVD风险存在边际关系。需要进一步的工作来了解OSA表型是否可以用于预测心血管疾病的易感性。
Intermittent hypoxia is a key mechanism linking Obstructive Sleep Apnea (OSA) to cardiovascular disease (CVD). Oximetry analysis could enhance understanding of which OSA phenotypes are associated with CVD risk. The aim of this study was to compare associations of different oximetry patterns with incident CVD in men and women with OSA. Sleep Heart Health Study data were used for analysis. n = 2878 Participants (51.8% female; mean age 63.5 ± 10.5 years) with OSA (Apnea Hypopnea Index [AHI] ≥ 5 events/h) and no pre-existing CVD at baseline or within the first 2 years of follow-up were included. Four oximetry analysis approaches were applied: desaturation characteristics, time series analysis, power spectral density, and non-linear analysis. Thirty-one resulting oximetry patterns were compared to incident CVD using proportional hazards regression models adjusted for age, race, smoking, BMI, and sex. There were no associations between OSA oximetry patterns and incident CVD in the total sample or in men. In women, there were some associations between incident CVD and time series analysis (e.g. SpO2 distribution standard deviation, HR 0.81, 95% CI 0.68–0.96, p = 0.014) and power spectral density oximetry patterns (e.g. Full frequency band mean HR 0.75; 95% CI 0.59–0.95; p = 0.015). Comprehensive comparison of baseline oximetry patterns in OSA found none were related to development of CVD. There were no standout individual oximetry patterns that appear to be candidates for CVD risk phenotyping in OSA, but some showed marginal relationships with CVD risk in women. Further work is required to understand whether OSA phenotypes can be used to predict susceptibility to cardiovascular disease.
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