Sleep-disordered breathing in heart failure: The state of the art after the SERVE-HF trial

Management of Obstructive Sleep Apnea in Patients With Heart Failure

Sleep apnea is traditionally classified as obstructive sleep apnea (OSA), which occurs when the upper airway collapses due to the relaxation of oropharyngeal musculature, and central sleep apnea occurs when the brainstem cannot stimulate breathing. Most sleep apnea in patients with heart failure (HF) results from coexisting OSA and central sleep apnea (CSA), or complex sleep apnea syndrome. OSA and CSA are common in HF and can be involved in its progression by exposure to the heart to intermittent hypoxia, increased preload and afterload, activating sympathetic, and decreased vascular endothelial function. A majority of treatments have been investigated in patients with CSA and HF; however, less or short-term randomized trials demonstrated whether treating OSA in patients with HF could improve morbidity and mortality. OSA could directly influence the patient's recovery. This review will focus on past and present studies on the various therapies for OSA in patients with HF and summarize CSA treatment options for reasons of reference and completeness. More specifically, the treatment covered include surgical and non-surgical treatments and reported the positive and negative consequences for these treatment options, highlighting possible implications for clinical practice and future research directions.

Chronic Heart Failure in Patients with Arterial Hypertension Associated with Obstructive Sleep Apnea Syndrome: Possible Options to Pathogenetic Therapy

Aim. To study approaches to the treatment of chronic heart failure (CHF) with reduced and mid-range left ventricular ejection fraction (LVEF) in patients with arterial hypertension (AH) against the background of obstructive sleep apnea (OSA).

Material and methods. The study included 136 patients with CHF and AH. Inclusion criteria for the study: 1) moderate and severe OSA (with an apnea/hypopnea index of more than 15 per hour); 2) II-IV functional class of CHF according to NYHA; 3) the level of brain natriuretic peptide precursor (NT-proBNP) ≥125 pg/ml; 3) LVEF <50%; 4) the duration of hypertension is at least 2 years. Patients received drug therapy, including beta-blockers, mineralocorticoid receptor antagonists, diuretics, ACE inhibitors or angiotensin receptor inhibitors or valsartan/sacubitrile. After 12 months of followup, the patients were divided into 2 groups depending on the medication being administered. Group 1 included patients (n = 50) receiving therapy with valsartan/sacubitril, group 2 included patients (n = 86) receiving therapy without this drug. Effective CPAP-therapy also was registered in each group.

Results. In patients with CHF who received valsartan/sacubitril, disease progression was recorded in 28% of cases, while in patients who did not receive therapy with this drug, an unfavorable course of CHF was recorded in 42.8% (p = 0.001). In group 1, the NT-proBNP level significantly (p = 0.034) decreased by 34%, while in group 2, a significant (p = 0.002) increase in biomarker levels was revealed by 35.5%. In the group of patients receiving therapy with valsartan/sacubitril an increase in LVEF (p = 0.007) was revealed by 12.5%. In group 1, an increase in exercise tolerance was achieved in the form of a significant (p = 0.012) increase in the distance of the six-minute walk test by 18.2%, while in group 2, the six-minute walk distance decreased by 19.2% (p = 0.034). In the subgroup of patients receiving CPAP therapy in combination with valsartan/sacubitril therapy (n=8), LVEF increased by 11.6% (p = 0.043), the six-minute walk test distance increased by 29.7% (p = 0.046), and NT-proBNP decreased by 22.5% (p = 0.039), while in the group of patients who received only CPAP therapy (n=19).

Conclusion. The most significant slowdown in the rate of progression of CHF in patients with AH associated with OSA, an increase in exercise tolerance, as well as the most pronounced tendency to the reverse development of pathological echocardiographic changes in the myocardium when using valsartan/sacubitrile in drug therapy in combination with effective hardware CPAP therapy.

Review on Biomedical Sensors, Technologies and Algorithms for Diagnosis of Sleep Disordered Breathing: Comprehensive Survey

This paper provides a comprehensive review of available technologies for measurements of vital physiology related parameters that cause sleep disordered breathing (SDB). SDB is a chronic disease that may lead to several health problems and increase the risk of high blood pressure and even heart attack. Therefore, the diagnosis of SDB at an early stage is very important. The essential primary step before diagnosis is measurement. Vital health parameters related to SBD might be measured through invasive or non-invasive methods. Nowadays, with respect to increase in aging population, improvement in home health management systems is needed more than even a decade ago. Moreover, traditional health parameter measurement techniques such as polysomnography are not comfortable and introduce additional costs to the consumers. Therefore, in modern advanced self-health management devices, electronics and communication science are combined to provide appliances that can be used for SDB diagnosis, by monitoring a patient's physiological parameters with more comfort and accuracy. Additionally, development in machine learning algorithms provides accurate methods of analysing measured signals. This paper provides a comprehensive review of measurement approaches, data transmission, and communication networks, alongside machine learning algorithms for sleep stage classification, to diagnose SDB.