Heart rate variability and obstructive sleep apnea: Current perspectives and novel technologies

Ucak, Seren; Dissanayake, Hasthi; Sutherland, Kate; Chazal, Philip de; Cistulli, Peter A.

doi:10.1111/jsr.13274

Cited by 60 publications

(58 citation statements)

References 92 publications

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“…Patients with OSAHS are at an increased risk of cardiovascular morbidity and mortality. The mechanisms underlying the development of cardiovascular disease (CVD) in OSAHS are multifactorial and cause a cascade of events 13 . Sympathetic activation, systemic inflammation, intermittent hypoxia, and oxidative stress are the main intermediary mechanisms linking OSAHS and CVD 13‐15 .…”

Section: Discussionmentioning

confidence: 99%

“…The mechanisms underlying the development of cardiovascular disease (CVD) in OSAHS are multifactorial and cause a cascade of events 13 . Sympathetic activation, systemic inflammation, intermittent hypoxia, and oxidative stress are the main intermediary mechanisms linking OSAHS and CVD 13‐15 . OSAHS may contribute to the vascular endothelial dysfunction and the formation of atherosclerotic plaque 16‐17 .…”

Section: Discussionmentioning

confidence: 99%

“…These pathophysiological mechanisms eventually cause alterations in the vascular morphology and counter the atherosclerotic process. Atherosclerosis is an early evaluation index for the risk of cardiovascular and cerebrovascular diseases 12,13 . Thus, the effect of OSAHS on atherosclerotic process may also contribute to its role on CVD.…”

Section: Discussionmentioning

confidence: 99%

“…13 Sympathetic activation, systemic inflammation, intermittent hypoxia, and oxidative stress are the main intermediary mechanisms linking OSAHS and CVD. [13][14][15] OSAHS may contribute to the vascular endothelial dysfunction and the formation of atherosclerotic plaque. [16][17] These pathophysiological mechanisms eventually cause alterations in the vascular morphology and counter the atherosclerotic process.…”

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confidence: 99%

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Clinical study of atherosclerotic plaque in the carotid artery and lower extremities in patients with obstructive sleep apnea‐hypopnea syndrome

Wang

Huang

2021

Clinical Respiratory J

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Objective The present study aimed to explore the relationship between young and middle‐aged patients with obstructive sleep apnea‐hypopnea syndrome (OSAHS) and atherosclerotic plaque of the carotid artery and lower extremities. Methods A total of 110 patients diagnosed with OSAHS by polysomnography in the researchers’ hospital from September 2018 to September 2019 were selected as the research objects. The enrolled patients were divided into a mild group (36 cases), a moderate group (38 cases), and a severe group (36 cases). Another 36 healthy subjects were set up as the non‐OSAHS group. All the selected subjects were examined by color Doppler ultrasound of the carotid artery and lower extremity arteries. Results The detection rate of atherosclerotic plaque of the carotid artery and/or lower extremities in patients with OSAHS was significantly higher than that in the non‐OSAHS group (P < 0.05), and the incidence of plaque tended to increase along with an increase in the degree of OSAHS. Conclusion The findings indicate that OSAHS might be an independent influencing factor for atherosclerosis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Clinical study of atherosclerotic plaque in the carotid artery and lower extremities in patients with obstructive sleep apnea‐hypopnea syndrome

Wang

Huang

2021

Clinical Respiratory J

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“…In particular, an increase in SDNN24 of 1% results in an lower risk of heart failure of about 1% [5]. It was also found that the alteration in cardiac autonomic function is a predictor of several other individual health problems, such as diabetes [6], hypertension [7], and sleep quality [8]. Moreover, one of the last findings about SDNN24 is that changes in autonomic nervous system function that can be estimated by change in heart rate variability (HRV) have also been found to be a predictor of infection and, in particular, for the diagnosis of COVID-19 and its related symptoms [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

SDNN24 Estimation from Semi-Continuous HR Measures

Morelli

Rossi

Bartoloni³

et al. 2021

Sensors

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The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices record heart beats 24/7 having a complete overview of users’ heart status. Due to motion artefacts affecting QRS complexes recording, and the different nature of the heart rate sensor used on wearable devices compared to ECG, traditionally used to compute SDNN24, the estimation of this important Heart Rate Variability (HRV) metric has never been performed from wearable data. We propose an innovative approach to estimate SDNN24 only exploiting the Heart Rate (HR) that is normally available on wearable fitness trackers and less affected by data noise. The standard deviation of inter-beats intervals (SDNN24) and the standard deviation of the Average inter-beats intervals (ANN) derived from the HR (obtained in a time window with defined duration, i.e., 1, 5, 10, 30 and 60 min), i.e., ANN=60HR (SDANNHR24), were calculated over 24 h. Power spectrum analysis using the Lomb-Scargle Peridogram was performed to assess frequency domain HRV parameters (Ultra Low Frequency, Very Low Frequency, Low Frequency, and High Frequency). Due to the fact that SDNN24 reflects the total power of the power of the HRV spectrum, the values estimated from HR measures (SDANNHR24) underestimate the real values because of the high frequencies that are missing. Subjects with low and high cardiovascular risk show different power spectra. In particular, differences are detected in Ultra Low and Very Low frequencies, while similar results are shown in Low and High frequencies. For this reason, we found that HR measures contain enough information to discriminate cardiovascular risk. Semi-continuous measures of HR throughout 24 h, as measured by most wrist-worn fitness wearable devices, should be sufficient to estimate SDNN24 and cardiovascular risk.

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Anthropometric Determinants of Autonomic Control in Obstructive Sleep Apnea: A Large‐Scale Study

Zhu

Liu

et al. 2023

Otolaryngol.--head neck surg.

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ObjectiveAutonomic dysfunction is an independent risk factor for cardiovascular disease (CVD). Both obesity and obstructive sleep apnea (OSA) are associated with heart rate variability (HRV) (a hall marker of sympathetic arousal) and increased risk of CVD. This study aims to investigate whether anthropometric parameters could predict reduced HRV in adult OSA during wakefulness.Study DesignCross‐sectional study.SettingSleep center of Shanghai Jiao Tong University Affiliated Sixth Hospital from 2012 to 2017.MethodsTotal of 2134 subjects (503 non‐OSA and 1631 OSA) were included. Anthropometric parameters were recorded. HRV was recorded during a 5‐minute wakefulness period and analyzed by using time‐domain method and frequency‐domain method. Multiple step‐wise linear regressions were performed to determine significant predictors of HRV with and without adjustments. Multiplicative interactions between gender, OSA, and obesity on HRV were also determined and evaluated.ResultsWaist circumference (WC) was significant negative determinant of root mean square of successive NN intervals (β = −.116, p < .001) and high‐frequency power (β = −.155, p < .001). Age was the strongest determining factor of HRV. Significant multiplicative interactions between obesity and OSA on HRV, gender, and obesity on cardiovascular parameters were observed.ConclusionAnthropometric parameters could predict reduced HRV during wakefulness in patients with OSA, especially WC was the strongest influenceable factor. Obesity and OSA had significant multiplicative interaction on HRV. Gender and obesity had significant multiplicative interaction on cardiovascular parameters. Early intervention for obesity, especially centripetal obesity, may improve reduction of autonomic function and risk of CVD.

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Heart rate variability and obstructive sleep apnea: Current perspectives and novel technologies

Cited by 60 publications

References 92 publications

Clinical study of atherosclerotic plaque in the carotid artery and lower extremities in patients with obstructive sleep apnea‐hypopnea syndrome

Clinical study of atherosclerotic plaque in the carotid artery and lower extremities in patients with obstructive sleep apnea‐hypopnea syndrome

SDNN24 Estimation from Semi-Continuous HR Measures

Anthropometric Determinants of Autonomic Control in Obstructive Sleep Apnea: A Large‐Scale Study

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