[阻塞性睡眠呼吸暂停和夜间低氧血症增加智利人的心血管风险]。

Gonzalo Labarca, Mario Henríquez-Beltrán, Jorge Jorquera-Díaz, Jorge Dreyse, Jorge Jorquera
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引用次数: 0

摘要

阻塞性睡眠呼吸暂停(OSA)和心血管(CV)风险并存的情况很常见。目的:使用 2008 年弗雷明汉预测模型确定呼吸紊乱指数(RDI)和 SpO2 低于 90% 的时间(CT90%)与心血管风险之间的关系。此外,我们还分析了基线 CV 风险模型的诊断性能,该模型根据 RDI、CT90% 及其组合进行了调整,以预测临床怀疑为 AOS 患者的 CV 死亡率:单中心前瞻性队列研究,包括 1560 名受试者。所有患者均接受了 OSA、血压和人体测量变量的临床评估。为确定相关指数与心血管风险的关系,对 RDI 或 CT90% 评分进行了线性多元回归。所有分析均使用 R 软件(R-project)进行,P 值小于 0.05 视为具有统计学意义:结果:RDI 和 CT90% 在 CV 方面显示出显著差异(p 值= 结论:RDI 和 CT90% 在 CV 方面显示出显著差异(p 值= 0.05):RDI和CT90%与队列中的心血管疾病风险有显著的递增关系。然而,使用 RDI 和 CT90% 对 CV 死亡率进行预测分析的结果并不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Obstructive Sleep Apnea and Nocturnal Hypoxemia Increase the Cardiovascular Risk in Chilean].

Obstructive sleep apnea (OSA) and cardiovascular (CV) risk co-existence is frequent. However, the implications of novel metrics used in the diagnosis of OSA in patients with CV risk are scarce in the Hispanic/Latino population.

Aim: To determine the association between the respiratory disturbance index (RDI) and the Time under 90% of SpO2 (CT90%) with CV risk using the predictive model of Framingham 2008. In addition, we analyzed the diagnostic performance of the baseline CV risk model, adjusted for RDI, CT90%, and their combination to predict CV mortality. in patients with clinical suspicion of AOS.

Methods: Single-center prospective cohort study, including 1560 subjects. All patients underwent a clinical evaluation for OSA, blood pressure, and anthropometric variables. To determine the association of the indices of interest with CV risk, a linear multivariate regression was performed between the RDI or CT90% score. All analyses were performed using R software (R-project), and a p-value < 0.05 was considered statistically significant.

Results: RDI and CT90% showed significant differences for CV (p-value= <0.001). In addition, a percentage increase was demonstrated in each quartile of the RDI and CT90% (p-value= <0.001).

Conclusions: The RDI and CT90% showed a significant and incremental association with the CV risk of the cohort. However, predictive analyses of CV mortality using the RDI and CT90% were not significant.

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