435 Heart failure and sleep disorders breathing: 61 consecutive subjects

2006 ◽  
Vol 5 (1) ◽  
pp. 103-103
Author(s):  
D CORONE ◽  
C DARNE ◽  
T FARROKHI ◽  
A HATTAB ◽  
S HARDY ◽  
...  
2017 ◽  
Vol 14 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Stephen Pan ◽  
Carolina S. Cabral ◽  
Euan A. Ashley ◽  
Marco V. Perez

2016 ◽  
Vol 13 (7) ◽  
pp. 389-403 ◽  
Author(s):  
Gianfranco Parati ◽  
◽  
Carolina Lombardi ◽  
Francesco Castagna ◽  
Paola Mattaliano ◽  
...  

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
PK Kalidjiev ◽  
E Kinova ◽  
D Somleva ◽  
A Goudev

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Medical University - Sofia University Hospital "Tsaritsa Yoanna – ISUL” Background  Often accompanying comorbidity in patients with heart failure and overweight is sleep disorders. Detection and treatment of sleep apnea will be helpful in these patients.  Purpose  To determine the phenotypic characteristics of sleep apnea in these patients. To determine whether there is a link between forms of sleep apnea and type of heart failure.  Methods Hospitalized 46 patients with acute and exacerbate heart failure. Measuring of NT proBNP. Sleep apnea screening with ApneaLink™. Echocardiographic assessment of left ventricular ejection fraction (LVEF) and the E/e‘ ratio. Statistical methods to compare independent samples and correlation analysis for linear dependence.  Results Of the 46 overweight patients with acute and exacerbated chronic heart failure, sleep apnea was diagnosed in 36 patients (78.2%). Of these, 83.3% (n = 30) have оbstructive sleep apnea (OSA) and 16.7% (n = 6) have central sleep apnea (CSA). There was a statistically significant difference in LVEF for the group with CSA (n = 6) vs group with OSA (n = 30) (41.67 ± 13.88 vs. 50.57 ± 8.16, p = 0.038). For diastolic function didn"t reach statistical significance for E/e" ratio (20,33 ± 5,00 vs. 17,06 ± 4,02, p = 0,089). Regarding NTproBNP, there is no significant difference between the groups with OSA and those with CSA (2978.5 ± 2664.1 vs. 2063.36 ± 1877.27 pg/ml, p = 0.316). There is a moderate negative correlation with LVEF and number of central sleep apnea events (r=-0,334, p = 0,047). Conclusions With greater frequency occurs obstructive sleep apnea. Left ventricular systolic function is lower in patients with central sleep apnea. There is a reverse correlation between ejection fraction and number of central apnea.


2020 ◽  
Vol 26 (4) ◽  
pp. 5-11
Author(s):  
Petar Kalaydzhiev ◽  
Desislava Somleva ◽  
Elena Kinova ◽  
Assen Goudev

Heart failure is often accompanied by sleep disorders. CPAP therapy has proven in the treatment of obstructive sleep apnea, but the benefits associated with comorbid patients and patients with heart failure is still under research. On the other hand, central sleep apnea is also with high frequency in these patients and more difficult to treat. The aim of the current publication is to make a brief review of acute and exacerbated chronic heart failure in patients with sleep disorders - frequency, severity, and types to treat.  


2011 ◽  
Vol 17 (9) ◽  
pp. S132
Author(s):  
Tsuyoshi Shiga ◽  
Dai Yumino ◽  
Tsuyoshi Suzuki ◽  
Nobuhisa Hagiwara

2010 ◽  
Vol 49 (05) ◽  
pp. 479-483 ◽  
Author(s):  
M. O. Mendez ◽  
M. Ferrario ◽  
L. Ferini-Strambi ◽  
S. Cerutti ◽  
A. M. Bianchi

Summary Background: Physiological sleep is characterized by different cyclic phenomena, such as REM, nonREM phases and the Cyclic Alternating Pattern (CAP), that are associated to characteristic patterns in the heart rate variability (HRV) signal. Disruption of such rhythms due to sleep disorders, for example insomnia or apnea syndrome, alters the normal sleep patterns and the dynamics of the HRV recorded during the night. Objectives: In this paper we analyze long-term and complexity dynamics of the HRV signal recorded during sleep in different groups of subjects. The aim is to investigate whether the calculated indices are able to capture the different characteris tics and to discriminate among the groups of subjects, classified according sleep disorders or cardiovascular pathologies. Methods: Parameters, able to detect the fractal-like behavior of a signal and to measure the regularity and complexity of a time series, are calculated on the HRV signal acquired during the night. Different groups of subjects were analyzed: healthy subjects with high sleep efficiency, healthy subjects with low sleep efficiency, subjects affected by insomnia, heart failure patients, subjects affected by obstructive sleep apnea. Results: The evaluated parameters show significant differences in the groups of subjects considered in this work. In particular heart failure patients have significant lower entropy and complexity values, whereas apnea patients show an increased irregularity when compared with normal subjects with high sleep efficiency. Conclusions: This work proposes indices that can be used as global descriptors of the dynamics of the whole night and can discriminate among different groups of subjects.


2019 ◽  
Vol 2 (1) ◽  
pp. 101-107
Author(s):  
Musaddad - Kamal

Abstract Heart failure has now become a global cardiovascular problem with high mortality and disability. Sleep disturbance is a common problem in heart failure patients. Sleep disorders that occur in patients with heart failure will cause increased levels of urine catecholamine, plasma leptin, and inflammatory markers. These changes are related to the development of hypertension, activation of the sympathetic nervous system, and blunting of chemoreflex, which will increase the heart burden and ultimately lead to a poor prognosis. Sleep disorders in heart failure patients can be treated with psychological interventions and behaviors including sleep hygiene and Benson relaxation. Nurses, as one of the health professionals, have an important role in this matter. This is because the scope of nursing is meeting basic human needs, namely sleep. Through intervention in sleep hygiene and relaxation, Benson is expected to be able to improve the patient's sleep quality. Keywords: benson relaxation, heart failure, sleep disorders, sleep hygiene.


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