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Electrocardiographic Associations Seen with Obstructive Sleep Apnea

机译:用阻塞性睡眠呼吸暂停看到的心电图协会

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Background. Obstructive sleep apnea (OSA) is a chronic respiratory disorder associated with repeated nocturnal partial or complete collapse that is often underdiagnosed and associated with multiple comorbidities. The association between specific features on an electrocardiogram and OSA has not been well studied. This retrospective study attempts to bridge this gap in knowledge. Methods. A total of 265 patients’ medical records were reviewed retrospectively. Specific features of their electrocardiograms and their association with the severity of OSA were studied from April 2014 to May 2016. 215 patients were included in the final analysis. Tests of group difference between OSA patients and controls were done using student’s t-tests for continuous variables and using chi-square tests for categorical outcomes. Multivariate tests of differences between OSA and control patients were done using logistic regression to control for possible confounding factors. Results. A total of 215 patients with diagnosed OSA and 41 controls in whom OSA was ruled out using polysomnography were compared. Males were more likely to present with OSA than females (93 % versus 76 %; p 0.001). OSA patients were also significantly older: 52.18 ± 14.04 versus 44.55 ± 14.64; p = 0.002. Deep S waves in V5-6 (p=0.014) and RS pattern with Deep S waves in leads I and AVF (p=0.017) were both significantly associated with OSA based on univariate comparisons. These findings lost significance in the multivariate analysis. Conclusion. The idea of using an electrocardiogram in aiding in the assessment of OSA is attractive and feasible, as it is a safe, noninvasive, and cost-effective method. Our results can be used for early risk stratification in patients with OSA.
机译:背景。阻塞性睡眠呼吸暂停(OSA)是与反复夜间部分或完全崩塌相关的慢性呼吸系统障碍,其通常是与多种合并症相关的。心电图和OSA上的特定功能之间的关联尚未得到很好的研究。这种回顾性的研究试图弥合知识的这种差距。方法。回顾性共审查了265名患者的病历。从2014年4月到2016年5月,研究了它们的心电图和它们与OSA严重程度的特定特征及其与OSA的严重程度。215例患者被列入最终分析。 OSA患者和对照之间的群体差异的测试是使用学生的T检验进行连续变量,并使用Chi-Square测试进行分类结果。使用Logistic回归对OSA和对照患者之间的差异进行多变量测试,以控制可能的混杂因子。结果。比较了215名患有OSA和41个控制的患者,其中使用了使用多肌学创造的OSA的41个控制。男性比女性更容易出现OSA(93%对76%; P <0.001)。 OSA患者也明显较大:52.18±14.04与44.55±14.64; p = 0.002。基于单变量比较,V5-6(P = 0.014)和带有深层S波(P = 0.017)的深度的v5-6(p = 0.014)和Rs模式均与OSA显着相关。这些发现对多变量分析失去了重要意义。结论。使用心电图的想法在AA的评估中具有吸引力和可行的,因为它是一种安全,非侵入性和经济高效的方法。我们的结果可用于OSA患者的早期风险分层。

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