Heart rate variability analysis of single channel electrocardiogram can help to differentiate high- risk patients with obstructive sleep apnea syndrome - a study on diagnostic accuracy

Karasulu, Levent; Dalar, Levent; Sökücü, Sinem Nedime; Altın, Sedat

doi:10.5152/akd.2012.097

Cited by 7 publications

(9 citation statements)

References 29 publications

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“…LF has been associated with changes in blood pressure along with fluctuations in sympathetic and parasympathetic activity. VLF has been related to alterations in body temperature and sleep apnea-related heart rate changes 39. ULF has been associated with circadian rhythms 40…”

Section: The Reviewmentioning

confidence: 99%

“…They are computed based upon newer bioengineering developments, incorporating theories of complexity, chaos, and fractal characteristics 39–44. These methods may capture information about underlying patterns of physiological variability (such as how random or correlated the signals are) beyond that which time and frequency domain measurements can offer 2,44…”

Section: The Reviewmentioning

confidence: 99%

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Heart rate variability measurement and clinical depression in acute coronary syndrome patients: narrative review of recent literature

Harris

Sommargren²,

Stein³

et al. 2014

NDT

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AimWe aimed to explore links between heart rate variability (HRV) and clinical depression in patients with acute coronary syndrome (ACS), through a review of recent clinical research literature.BackgroundPatients with ACS are at risk for both cardiac autonomic dysfunction and clinical depression. Both conditions can negatively impact the ability to recover from an acute physiological insult, such as unstable angina or myocardial infarction, increasing the risk for adverse cardiovascular outcomes. HRV is recognized as a reflection of autonomic function.MethodsA narrative review was undertaken to evaluate state-of-the-art clinical research, using the PubMed database, January 2013. The search terms “heart rate variability” and “depression” were used in conjunction with “acute coronary syndrome”, “unstable angina”, or “myocardial infarction” to find clinical studies published within the past 10 years related to HRV and clinical depression, in patients with an ACS episode. Studies were included if HRV measurement and depression screening were undertaken during an ACS hospitalization or within 2 months of hospital discharge.ResultsNine clinical studies met the inclusion criteria. The studies’ results indicate that there may be a relationship between abnormal HRV and clinical depression when assessed early after an ACS event, offering the possibility that these risk factors play a modest role in patient outcomes.ConclusionWhile a definitive conclusion about the relevance of HRV and clinical depression measurement in ACS patients would be premature, the literature suggests that these measures may provide additional information in risk assessment. Potential avenues for further research are proposed.

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Section: The Reviewmentioning

confidence: 99%

Section: The Reviewmentioning

confidence: 99%

Heart rate variability measurement and clinical depression in acute coronary syndrome patients: narrative review of recent literature

Harris

Sommargren²,

Stein³

et al. 2014

NDT

View full text Add to dashboard Cite

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“…Studies have shown that changes in heart rate variability (HRV) can be potentially used as an alternative technique to screen children with OSAHS (Park et al 2008;Chaicharn et al 2009;Balachandran et al 2012;Lado et al 2012;Sforza et al 2012;Song et al 2012). Studies have also confirmed the feasibility of screening OSAHS in adults by HRV analysis (Roche et al 1999;Poupard et al 2011;Sun et al 2011;Karasulu et al 2012). Hence, this study aimed to evaluate the performance of this simple tool in the monitoring of snoring children who were referred to the Sleep Center of Beijing Children's Hospital for OSAHS diagnosis.…”

Section: Introductionmentioning

confidence: 91%

“…OSAS patients often suffered from enhanced sympathetic nervous system activation by chemoreceptors and baroreceptors in response to recurrent apnea, hypoxemia, and hypercapnia and previous studies have found that some HRV variables were significantly different between patients with OSAS and without, confirming the feasibility of HRV analysis to screen OSAS. Studies have pointed out that appropriate HRV variable with reasonable threshold has certain sensitivity and specificity, however, difference is very big between different research results, not only the HRV variable but also the threshold (Roche et al 1999;Roche et al 2004;Vazir et al 2006;Sun et al 2011;Karasulu et al 2012). The main causes may be different groups who participated, different diagnosis standard of OSAS, different method of recording and analyzing ECG (Electrocardiograph) data.…”

Section: Capacity Of Screening Osahs By Hrv Analysismentioning

confidence: 96%

Screening obstructive sleep apnea–hypopnea syndrome from snorers in children by heart rate variability analysis

Zhang

et al. 2015

Biological Rhythm Research

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This study aimed to evaluate the application of time-and frequency-domain analysis of heart rate variability (HRV) to screen obstructive sleep apnea-hypopnea syndrome (OSAHS) from snorers in children. Snoring children who were more than 3 years old were recruited and simultaneously underwent standard polysomnography (PSG) and 24 h ambulatory electrocardiography. The HRV variables of the two groups were compared, and a threshold value of the most significant variables was determined to obtain better separation power between OSAHS and non-OSAHS conditions. PSG was made as a gold standard to evaluate the capacity of HRV analysis to screen OSAHS from snorers in children. PSG results showed that 58 children manifested OSAHS and 37 were non-OSAHS snorers. LF/HF n ≥ 0.845 has the highest sensitivity of screening OSAHS from snorers with limited specificity, so the use of this ratio should not be overestimated.

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“…Este incremento puede atribuirse a los episodios de braditaquicardia secuentes a las apneas que presentan estos pacientes. Este aspecto concuerda con lo previamente descrito en la literatura [135,159]. Taranto-Montemurro et al, destacan que los pacientes con síndrome overlap tienen mayor activación simpática del SNA durante el día en comparación con aquellos con diagnóstico exclusivo de SAHS o de EPOC [167].…”

Section: Análisis Espectralunclassified

Variabilidad de la frecuencia de pulso mediante análisis no lineal en pacientes con síndrome de apnea del sueño y enfermedad pulmonar obstructiva crónica (EPOC)

Fernández¹

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Background. Chronic obstructive pulmonary disease (COPD) is characterized by a persistent and commonly progressive airflow limitation consequent to an abnormal inflammatory response of the airway and lung tissue due to noxious particles and gases. COPD is among the most common lung diseases, with an estimated prevalence of 9%, becoming a major health problem worldwide. COPD patients show major dysfunction in cardiac autonomic modulation due to sustained hypoxemia, which has been significantly related to higher risk of cardiovascular disease. A substantial number of patients suffering from COPD have major comorbidities, which is linked with diminished health status and quality of life. In this regard, sleep disorders are commonly present in COPD patients. Particularly, sleep apnea-hypopnea syndrome (SAHS) is a frequent comorbidity in COPD. It has been found that patients suffering from both COPD and SAHS simultaneously, the so-called overlap syndrome, have notably higher morbidity and mortality, mostly in the context of cardiovascular disease. Patients showing both conditions have significant imbalances in cardiac autonomic modulation compared to those with COPD or SAHS alone. Heart rate variability (HRV) has been found to be useful to assess changes in autonomic functioning in different clinical conditions. Traditional analysis of HRV recordings has shown that patients with overlap syndrome are characterized by a reduced resting HRV, which has been related to increased risk of cardiac disease. However, there is viii still little scientific evidence on the magnitude of changes in cardiovascular dynamics elicited by the combined effect of both respiratory diseases, primarily during sleep, when apneic events occur. Due to the chaotic behavior of the HRV signal, nonlinear methods are able to gain insight into the influence of COPD and SAHS in the autonomic cardiac modulation. Hypothesis and objectives. In this PhD Thesis, the hypothesis is twofold. Firstly, it is hypothesized that patients with COPD and SAHS simultaneously show higher changes in the autonomic cardiac modulation than patients suffering from either COPD or SAHS alone. Secondly, it is hypothesized that nonlinear analysis is able to provide complementary information to conventional analyses on the characterization of the long-term changes in overnight cardiovascular dynamics of COPD patients due to the presence of concomitant moderate-to-severe SAHS. Accordingly, this study is aimed at assessing the usefulness of sample entropy (SampEn) to distinguish changes in nocturnal pulse rate variability (PRV) recordings among three patient groups while sleeping: (1) COPD patients without moderate or severe sleep apnea; (2) moderate-to-severe SAHS patients without prior history of COPD; and (3) patients showing both COPD and moderate-to-severe SAHS, i.e., overlap syndrome. Material and Methods. In order to achieve this goal, a population composed of 297 patients were studied: 22 with COPD alone, 213 showing moderate-to-severe SAHS, and 62 with COPD and moderate-to...

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Heart rate variability analysis of single channel electrocardiogram can help to differentiate high- risk patients with obstructive sleep apnea syndrome - a study on diagnostic accuracy

Cited by 7 publications

References 29 publications

Heart rate variability measurement and clinical depression in acute coronary syndrome patients: narrative review of recent literature

Heart rate variability measurement and clinical depression in acute coronary syndrome patients: narrative review of recent literature

Screening obstructive sleep apnea–hypopnea syndrome from snorers in children by heart rate variability analysis

Variabilidad de la frecuencia de pulso mediante análisis no lineal en pacientes con síndrome de apnea del sueño y enfermedad pulmonar obstructiva crónica (EPOC)

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