scholarly journals LEFT VENTRICLE MASS IS ASSOCIATED WITH OBSTRUCTIVE SLEEP APNEA SEVERITY IN PATIENTS WITH CARDIOVASCULAR DISEASE OR SIGNIFICANT RISK FACTORS

2014 ◽  
Vol 63 (12) ◽  
pp. A1090
Author(s):  
Gabriela Querejeta Roca ◽  
Amil Shah ◽  
Eldrin Lewis ◽  
Murray Mittleman ◽  
Susan Redline ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Left Ventricle ◽  
Significant Risk ◽  
Left Ventricle Mass ◽  
Obstructive Sleep Apnea Severity ◽  
Obstructive Sleep

scholarly journals Which oropharyngeal factors are significant risk factors for obstructive sleep apnea? An age-matched study and dentist perspectives

2016 ◽  
Vol Volume 8 ◽  
pp. 215-219 ◽  
Author(s):  
Kittisak Sawanyawisuth ◽  
Supanigar Ruangsri ◽  
Teekayu Plangkoon Jorns ◽  
Subin Puasiri ◽  
Thitisan Luecha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Significant Risk ◽  
Obstructive Sleep ◽  
Matched Study

scholarly journals Apnea Monitor based on Bluetooth with Android Interface

2020 ◽  
Vol 1 (2) ◽  
pp. 50-56
Author(s):  
I Dewa Made Wirayuda ◽  
I Dewa Gede Hari Wisana ◽  
Priyambada Cahya Nugraha
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sudden Death ◽  
Respiration Rate ◽  
Average Error ◽  
Obstructive Sleep ◽  
Testing And Measurement ◽  
Mit App Inventor

Apnea monitor is a device that is used to give a warning if there is stop breathing. Stop breathing while sleeping is one form of obstructive sleep apnea. This cessation of breath cannot be underestimated, this is related to the main risk factors for health implications and increased cardiovascular disease and sudden death. The purpose of this study is to design an apnea monitor with the Android interface. This device allows the users to get how many times sleep apnea happens while sleeping and got data to analysis before continuing with a more expensive and advanced sleep test. This device used a flex sensor to detect the respiration rate, the sensor placed on the abdomen or belly so it can measure expand and deflate while breathing. The microcontroller uses an Arduino chip called AT-Mega328. Bluetooth HC-05 used to send respiration data to Android, MIT app inventor used for the android programmer, and on the android, there are plotting of respiration value and when the device detected apnea so the android also gives a warning to the user. Based on the results of testing and measurement then compare with another device, the results of the average% error were 3.61%. This apnea monitor design is portable but there are needs some improvement by using another sensor for detected respiration and using a module other than Bluetooth.

scholarly journals A Global Comparison of Anatomic Risk Factors and Their Relationship to Obstructive Sleep Apnea Severity in Clinical Samples

2019 ◽  
Vol 15 (04) ◽  
pp. 629-639 ◽  
Author(s):  
Kate Sutherland ◽  
Brendan T. Keenan ◽  
Lia Bittencourt ◽  
Ning-hung Chen ◽  
Thorarinn Gislason ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Clinical Samples ◽  
Global Comparison ◽  
Obstructive Sleep Apnea Severity ◽  
Obstructive Sleep

scholarly journals Evaluation of Secondary Post-Tonsillectomy Bleeding among Children in Saudi Arabia: Risk Factor Analysis

2020 ◽  
pp. 014556132094466
Author(s):  
Turki Aldrees ◽  
Abdullah Alzuwayed ◽  
Abdullah Majed ◽  
Abdulrhman Alzamil ◽  
Mohammed Almutairi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Saudi Arabia ◽  
Risk Factor ◽  
Sleep Apnea ◽  
Sleep Disorder ◽  
Significant Risk ◽  
Peritonsillar Abscess ◽  
Recurrent Tonsillitis ◽  
Obstructive Sleep

Background: Tonsillectomy is one of the most widely recognized surgeries for tonsillitis. It is the default surgery option for obstructive sleep apnea, recurrent tonsillitis, and recurrent peritonsillar abscess. However, there are limited risk factor analyses in Saudi Arabia related to tonsillectomy. The goal of study is to evaluate and analyze the risk factors for secondary post-tonsillectomy bleeding in Saudi Arabia. Method: This retrospective review study was directed at King Abdullah Specialized Children’s Hospital, Riyadh, Saudi Arabia. Univariate and multivariate investigations were performed to decide the risk factors. Results: A total of 713 children were included. Post-tonsillectomy bleeding occurred in only 5.3% of tonsillectomies. There was no seasonal variation impact on post-tonsillectomy bleeding rate ( P = .8). The multivariate analysis showed a significant association between post-tonsillectomy bleeding and both age (odds ratio [OR] = 1.156; 95% CI: 1.007-1.326; P = .039) and sleep disorder breathing/obstructive sleep apnea (OR = 3.581; 95% CI: 1.454-8.820; P = .006). Conclusion: This study revealed that age, sleep disorder/obstructive sleep apnea, and longer hospital stay after tonsillectomy are significant risk factors for post-tonsillectomy bleeding. This study provides an important baseline for further local studies in the future.

1337-P: Metabolomic Profile Associated with Obstructive Sleep Apnea Severity in Obese Pregnant Women with Gestational Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1337-P
Author(s):  
SIRIMON REUTRAKUL ◽  
NARICHA CHIRAKALWASAN ◽  
SURANUT CHAROENSRI ◽  
SOMVANG AMNAKKITTIKUL ◽  
SUNEE SAETUNG ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Metabolomic Profile ◽  
Obstructive Sleep Apnea Severity ◽  
Obstructive Sleep
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