Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "obstructive sleep apnea" wg kryterium: Wszystkie pola

  Lista filtrów
Wyrównaj
Wyświetlanie 1-10 z 32
Tytuł:
Complex relationships between endocrinopathies and obstructive sleep apnea syndrome
Autorzy:
Szymańska, Monika
Mizerski, Grzegorz
Kiciński, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/454873.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
Tematy:
obstructive sleep apnea endocrinopathies
diabetes
Opis:
Sleep-related disordered breathing (SRDB) is a term covering a heterogeneous group of conditions with a similar clinical picture yet different pathogenesis. Nocturnal episodes of obstructive apnoea, leading to repeated periods of desaturation and re-oxygenation, activate chemoreceptors and increase the activity of the sympathetic as well as renin-angiotensin-aldosterone system. Moreover, the generation of free radicals and proinflammatory cytokines increases. All the above mentioned disturbances interfere with the function of endocrine glands. On the other hand, many endocrine disorders are associated with an increased risk of obstructive sleep apnoea syndrome (OSAS). In this paper, we discuss relationships between selected endocrinopathies and OSAS.
Źródło:
European Journal of Clinical and Experimental Medicine; 2017, 3; 268-272
2544-2406
2544-1361
Pojawia się w:
European Journal of Clinical and Experimental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Occurrence of insomnia among patients with diagnosed obstructive sleep apnea
Autorzy:
Daniłosio, Marek
Wysocki, Jarosław
Prus, Monika
Powiązania:
https://bibliotekanauki.pl/articles/1399733.pdf
Data publikacji:
2018
Wydawca:
Index Copernicus International
Tematy:
obstructive sleep apnea
insomnia
Athens insomnia scale
correlation with sleep variables
Opis:
Obstructive sleep apnea (OSA) is a common problem. Excessive daytime sleepiness raises a suspicion of OSA, which can be confirmed by polysomnography (PSG). Insomnia, in patients with OSA, often manifests itself as excessive daytime drowsiness. The incidence of insomnia among patients with OSA differs in different studies. Thus, we investigated the incidence of insomnia among our patients. We included 120 patients who underwent a workup due to a suspicion of OSA in the Polysomnography Laboratory, Department of Otolaryngology, Medical University of Warsaw, Poland. Patients completed the Athens Insomnia Scale (AIS). All-night PSG was done with 14-channel recordings (Grass®, USA). The severity of OSA was classified according to the apnea-hypopnea index (AHI) values. There were 96 patients with OSA and 24 patients without OSA who served as controls (their sleep disorders and daytime drowsiness were not caused by OSA). The total AIS scores tended to indicate insomnia in the entire sample and in all different subgroups. The mean AIS score was significantly different between the subgroups differing in the severity of apnea. The mean AIS score correlated significantly with sleep latency, latent sleep, and N2 latency. The mean AIS score did not correlate significantly with the AHI. In conclusion, in patients with OSA, insomnia, measured with the AIS, was associated with the severity of apnea, although this relationship was weak.
Źródło:
Polski Przegląd Otorynolaryngologiczny; 2018, 7, 1; 16-23
2084-5308
2300-7338
Pojawia się w:
Polski Przegląd Otorynolaryngologiczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Obstructive sleep apnea in patients scheduled for endarterectomy – preliminary study
Autorzy:
Migacz, Ewa
Proczka, Robert
Krzeski, Antoni
Kukwa, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/1398295.pdf
Data publikacji:
2018
Wydawca:
Index Copernicus International
Tematy:
obturacyjny bezdech podczas snu
chrapanie
miażdżyca
blaszka miażdżycowa
endarterektomia
Opis:
Introduction: The association between obstructive sleep apnea and atherosclerosis has been confirmed for a long time, but the pathomechanism is still unknown. The aim of this study was to investigate the prevalence of OSA in patients scheduled for endarterectomy and the influence of this procedure on sleep parameters and sleepiness. Materials and methods: 46 patients scheduled for open carotid endarterectomy were enrolled in the study. Sleep study was carried out and Epworth Sleepiness Scale (ESS) was used preoperatively . In 11 out of 46 patients, sleep study was performed both before and after surgery. Results: The mean age of the group was 69.9 years (± 8.6), 21 patients (45.7%) were female. For 46 patients mean pAHI, ODI, pRDI and %snoring were 16.2 (± SD=15.2), 10.4 (± SD=12.2), 18.9 (± SD=14.9) and 9,9 (± SD=17), respectively. Normal pAHI was noticed in 14 patients (30%), while mild (pAHI 5-15), moderate (pAHI 15-30) and severe (pAHI>30) OSA was observed in 13 (38%), 11 (24%), and 8 (18%) subjects, respectively. The mean ESS score for 27 out of 46 patients was 6.3 (± SD=5.6). The postoperative results of sleep study in 11 patients showed no significant change. Conclusions: This study revealed the prevalence of moderate to severe OSA in 42% of patients scheduled for endarterectomy, while no excessive daytime sleepiness was observed in this group. The results of the study show that patients with carotid atherosclerosis should undergo sleep diagnosis in order to rule out obstructive sleep apnea.
Źródło:
Polish Journal of Otolaryngology; 2018, 72, 4; 17-20
0030-6657
2300-8423
Pojawia się w:
Polish Journal of Otolaryngology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Gastro-esophageal reflux and obstructive sleep apnea – is there a link?
Autorzy:
Pardak, Piotr
Pękala, Anna
Jarmakiewicz, Sara
Filip, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/2037608.pdf
Data publikacji:
2020-06-30
Wydawca:
Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
Tematy:
gastro-esophageal reflux
ghrelin, obesity
obstructive sleep apnea
Opis:
Introduction. The epidemic of obesity has led to an increase in the occurrence of obstructive sleep apnea and gastro-esophageal reflux disease. The mechanism of development of gastro-esophageal reflux disease is multifactorial, and studies conducted in the last decade have shed new light on the causes of its development in patients with sleep apnea and obesity. Aim. The aim of the study was to discuss the mechanism of development of gastro-esophageal reflux disease is multifactorial, and studies conducted in the last decade have shed new light on the causes of its development in patients with sleep apnea and obesity and the dysfunction of the lower esophageal sphincter. Material and methods. An analysis of literature regarding gastro-esophageal reflux and obstructive sleep apnea. Results. In obstructive sleep apnea and obesity, high levels of cytokines and insulin resistance are observed, resulting in disorders in the levels of ghrelin – a hormone responsible for normal gastrointestinal motility. Conclusion. The effect of deviations in the ghrelin profile on the development of gastro-esophageal reflux disease remains a matter for further research
Źródło:
European Journal of Clinical and Experimental Medicine; 2020, 2; 110-115
2544-2406
2544-1361
Pojawia się w:
European Journal of Clinical and Experimental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hypoglossal nerve stimulation [HGNS] for Obstructive Sleep Apnea [OSA] treatment – a review
Autorzy:
Bilińska, Małgorzata
Niemczyk, Kazimierz
Powiązania:
https://bibliotekanauki.pl/articles/1400406.pdf
Data publikacji:
2017
Wydawca:
Index Copernicus International
Tematy:
upper airway stimulation
obstructive sleep apnea
neurostimulation
hypoglossal nerve
Opis:
Obstructive sleep apnea (OSA) is characterized by recurrent periods of upper airway obstruction (hypopneas and apneas) during sleep. It leads to repeated oxyhemoglobin desaturations, nocturnal hypercapnia, and arousals. Common symptoms include loud snoring with breathing interruptions. Excessive daytime sleepiness and cognitive impairment occur. Obstructive sleep apnea is a major cause of morbidity and mortality in Western society. Its association with an increased risk of development and progression of neurocognitive, metabolic, cardiovascular and oncologic diseases and complications is well described. The significant factor in OSA pathogenesis is reduced muscle tone in the tongue and upper airway. In the recent years, devices providing neurostimulation of the hypoglossal nerve (HGNS) were developed as an alternative for noncompliant CPAP (continuous positive airway pressure) patients. Clinical trials suggest that electrical stimulation of the hypoglossal nerve is effective. This is considered to be one of the targets of neurostimulation in the treatment of obstructive sleep apnea (OSA).
Źródło:
Polski Przegląd Otorynolaryngologiczny; 2017, 6, 3; 67-72
2084-5308
2300-7338
Pojawia się w:
Polski Przegląd Otorynolaryngologiczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Screening commercial drivers for obstructive sleep apnea: Validation of STOP-Bang questionnaire
Autorzy:
Popević, Martin B.
Milovanović, Andjela
Nagorni-Obradović, Ljudmila
Nešić, Dejan
Milovanović, Jovica
Milovanović, Aleksandar P.
Powiązania:
https://bibliotekanauki.pl/articles/2161889.pdf
Data publikacji:
2017-07-14
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
sleep apnea
questionnaires
polysomnography
obstructive
validation studies
commercial drivers
Opis:
Objectives The main aim has been to examine psychometric properties of STOP-Bang (snoring, tiredness, observed apnea, high blood pressure, body mass index (BMI), age, neck circumference, male gender) scoring model (Serbian translation), an obstructive sleep apnea (OSA) screening tool, in a sample of commercial drivers. Material and Methods After formal translation, validation was performed on a sample of bus and truck drivers evaluating test-retest reliability, construct and criterion validity. Overnight polysomnography or cardiorespiratory polygraphy were used for OSA diagnosis purposes. Results One hundred male participants, 24–62 years old, were included. STOP-Bang classified 69% as potential OSA patients. Polysomnography identified OSA in 57% of the sample. Test-retest reliability (Cohen’s κ = 0.89) was adequate. STOP-Bang score was significantly correlated to apnea-hypopnea index (AHI) and OSA severity. Sensitivity was 100% for AHI ≥ 15, highest specificity was 53.5% (AHI ≥ 5). Conclusions STOP-Bang showed good measurement properties, supporting its further use in OSA screening of commercial drivers. Int J Occup Med Environ Health 2016;30(5):751–761
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2017, 30, 5; 751-761
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea
Autorzy:
Kandukuri, Usha Rani
Prakash, Allam Jaya
Patro, Kiran Kumar
Neelapu, Bala Chakravarthy
Tadeusiewicz, Ryszard
Pławiak, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/24200694.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sleep apnea
convolutional neural network
constant Q-transform
deep learning
single lead ECG signal
non apnea
obstructive sleep apnea
bezdech senny
sieć neuronowa konwolucyjna
uczenie głębokie
sygnał EKG
obturacyjny bezdech senny
Opis:
Obstructive sleep apnea (OSA) is a long-term sleep disorder that causes temporary disruption in breathing while sleeping. Polysomnography (PSG) is the technique for monitoring different signals during the patient’s sleep cycle, including electroencephalogram (EEG), electromyography (EMG), electrocardiogram (ECG), and oxygen saturation (SpO2). Due to the high cost and inconvenience of polysomnography, the usefulness of ECG signals in detecting OSA is explored in this work, which proposes a two-dimensional convolutional neural network (2D-CNN) model for detecting OSA using ECG signals. A publicly available apnea ECG database from PhysioNet is used for experimentation. Further, a constant Q-transform (CQT) is applied for segmentation, filtering, and conversion of ECG beats into images. The proposed CNN model demonstrates an average accuracy, sensitivity and specificity of 91.34%, 90.68% and 90.70%, respectively. The findings obtained using the proposed approach are comparable to those of many other existing methods for automatic detection of OSA.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 3; 493--506
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detection of Obstructive Sleep Apnea from ECG Signal Using SVM Based Grid Search
Autorzy:
Valavan, K. K.
Manoj, S.
Abishek, S.
Gokull Vijay, T. G.
Vojaswwin, P.
Rolant Gini, J.
Ramachandran, K. I.
Powiązania:
https://bibliotekanauki.pl/articles/1844601.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
ECG signal
grid search
RR interval
sleep apnea
support vector machine
Opis:
Obstructive Sleep Apnea is one common form of sleep apnea and is now tested by means of a process called Polysomnography which is time-consuming, expensive and also requires a human observer throughout the study of the subject which makes it inconvenient and new detection techniques are now being developed to overcome these difficulties. Heart rate variability has proven to be related to sleep apnea episodes and thus the features from the ECG signal can be used in the detection of sleep apnea. The proposed detection technique uses Support Vector Machines using Grid search algorithm and the classifier is trained using features based on heart rate variability derived from the ECG signal. The developed system is tested using the dataset and the results show that this classification system can recognize the disorder with an accuracy rate of 89%. Further, the use of the grid search algorithm has made this system a reliable and an accurate means for the classification of sleep apnea and can serve as a basis for the future development of its screening.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 1; 5-12
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prevalence of target organ damage in hypertensive patients with coexisting obstructive sleep apnea
Autorzy:
Myśliński, W.
Szwed, M.
Szwed, J.
Panasiuk, L.
Brożyna-Tkaczyk, K.
Borysowicz, M.
Mosiewicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/28761829.pdf
Data publikacji:
2022
Wydawca:
Instytut Medycyny Wsi
Źródło:
Annals of Agricultural and Environmental Medicine; 2022, 29, 2; 294-299
1232-1966
Pojawia się w:
Annals of Agricultural and Environmental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-10 z 32

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies