Correlation between linear and non-linear heart rate variability indices and the severity of obstructive sleep apnea

Correlation between linear and non-linear heart rate variability indices and the severity of obstructive sleep apnea

• Autor
• Rafael Rodrigues dos Santos
• Resumo

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  Obstructive sleep apnea (OSA) is a respiratory sleep disorder characterized by the total or partial occlusion of the superior airway during sleep. It’s estimated that it affects nearly 1 billion people worldwide at least in its mild form, however, many of them remain undiagnosed, which can bring many problems such as the development of comorbidities. Heart rate variability (HRV) is a non-invasive technique that provides valuable information regarding the modulation of cardiac function and cardiovascular risk. This study aims to seek the relationship between HRV indices with the presence and severity of OSA. Were collected 229 polysomnography exams (37 healthy, 51 mild-, 55 moderate-, and 86 severe-OSA patients), realized between 2015 and 2021, in the University Hospital of FMRP-USP, and selected 15min of each hour from the first 6hs from the ECG for the HRV analysis. For that, was used 34 HRV indices derived from linear and non-linear methods, such as time- and frequency domain, fractal analysis, entropy measures, symbolic analysis, heart rate fragmentation, acceleration-deceleration capacity, and asymmetry measures. Results with indices of sympathovagal balance reinforced previous findings that patients with OSA have sympathetic overactivity. Nonlinear indices showed that these patients suffer from a loss of physiologic complexity, contributing to their higher risk of development of cardiovascular disease. Moreover, as shown in the table below, many HRV indices presented a statistically significant correlation with PSG's clinical scores: apnea/hypopnea index (AHI), microarousal index (MI), percentage of the total sleep time that the patient was with oxygen saturation below 90% (T90), and oxygen saturation nadir during sleep (SatMin). Therefore, a complete set of HRV indices, especially the nonlinear ones, can bring valuable information about the presence and severity of OSA, suggesting that HRV can be helpful in a quick diagnosis of OSA, potentially reducing the development of comorbidities.

   

• Palavras-chave
• autonomic nervous system, heart rate variability, nonlinear, sleep apnea, polysomnography
• Área Temática
• Apresentações Orais - Sessão II

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