scholarly journals Correlation between Obstructive Sleep Apnea Syndrome and Cardiac Disease Severity

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Hamid Reza Javadi ◽  
Shabnam Jalilolghadr ◽  
Zohreh Yazdi ◽  
Zeinab Rezaie Majd

Background. Obstructive sleep apnea (OSA) syndrome is one of the most common respiratory disorders in humans. There is emerging evidence linking OSA to vascular disease, particularly hypertension. The underlying pathophysiological mechanisms that link OSA to cardiovascular diseases such as hypertension, congestive heart failure, and atrial fibrillation are not entirely understood. The aim of this study was to investigate the association of obstructive sleep apnea hypopnea syndrome (OSAHS) with coronary atherosclerotic disease (CAD). Methods. A questionnaire survey based on Berlin questionnaire and Epworth Sleepiness Scale (ESS) was conducted among 406 patients to assess demographic data and the symptoms, such as excessive daytime sleepiness and snoring. Epworth Sleepiness Scale and Berlin questionnaire were completed by all of the patients. Venous blood samples were obtained for biochemical tests. Characteristics of coronary arteries were collected from angiographies’ reports. All patients were divided into two groups based on results from Berlin questionnaire: low risk patients for OSA and high risk patients for OSA. Data were analyzed by SPSS software version 13. Results. Mean age of patients was 61.8±10.5. 212 (52.2%) patients were categorized as high risk group for apnea. Also, excessive daytime sleepiness was reported in 186 patients (45.8%). The severity of coronary artery involvement, daytime sleepiness, and electrocardiogram abnormalities was significantly higher in high risk patients for OSA compared with low risk patients. High risk patients had higher level of FBS and LDL and lower level of HDL cholesterol P<0.05. Conclusion. Our study found a strong correlation between the number of stenotic vessels and OSA. Based on our findings, OSA can be a predisposing factor for cardiac diseases.

Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 468 ◽  
Author(s):  
Alexia Alexandropoulou ◽  
Georgios D. Vavougios ◽  
Chrissi Hatzoglou ◽  
Konstantinos I. Gourgoulianis ◽  
Sotirios G. Zarogiannis

Background and objectives: The risk assessment of Obstructive Sleep Apnea (OSA) and Excessive Daytime Sleepiness (EDS) in specific occupational populations is important due to its association with morbidity. The aim of the present study was to identify the risk of OSA development and EDS in a Greek nursing staff population. Materials and Methods: In this cross-sectional study a total of 444 nurses, 56 males (age = 42.91 ± 5.76 years/BMI = 27.17 ± 4.32) and 388 females (age = 41.41 ± 5.92 years/BMI = 25.08 ± 4.43) working in a Greek secondary and tertiary hospital participated during the period from 18 January 2015 to 10 February 2015. The participants completed the Berlin Questionnaire (BQ), concerning the risk for OSA and the Epworth Sleepiness Scale (ESS), concerning the EDS. The work and lifestyle habits of the participants were correlated with the results of the questionnaires. Results: According to the BQ results 20.5% (n = 91) of the nursing staff was at high risk for OSA. Increased daytime sleepiness affected 27.7% (n = 123) of the nurses according to ESS results. Nurses at risk for Obstructive Sleep Apnea Syndrome (OSAS), positive for both BQ and ESS, were 7.66% (n = 34). Out of the nurses that participated 77% (n = 342) were working in shifts status and had significant meal instability (breakfast p < 0.0001, lunch p < 0.0001, dinner p = 0.0008). Conclusions: The population at high risk for OSA and EDS in the nursing staff was found to be 20% and 28% respectively. High risk for OSAS was detected in 7.66% of the participants. The high risk for OSA and EDS was the same irrespective of working in shift status. In specific, nursing population age was an independent predictor for high risk for OSA and skipping lunch an independent predictor of daytime sleepiness.


2019 ◽  
Vol 184 (11-12) ◽  
pp. e701-e707 ◽  
Author(s):  
April Hurlston ◽  
Shannon N Foster ◽  
Jennifer Creamer ◽  
Matthew S Brock ◽  
Panagiotis Matsangas ◽  
...  

ABSTRACTIntroductionExcessive daytime sleepiness affects an estimated 20% of the general population. While the prevalence of sleepiness in the military is largely unknown, it is well established that short sleep duration is endemic. The reasons for this include: the demanding nature of their duties, shift work and 24-hour duty periods, deployments and exigencies of military service as well as sleep disorders. The Epworth Sleepiness Scale (ESS) is the most widely used sleep questionnaire and provides a self-assessment of daytime sleepiness. To date the clinical utility of this questionnaire in differentiating sleep disorders in military patients with sleep disorders has never been evaluated.Materials and MethodsThe primary aim of this manuscript was to assess if Epworth Sleepiness Scale (ESS) scores differed between military personnel with insomnia, obstructive sleep apnea (OSA), comorbid insomnia/obstructive sleep apnea (COMISA), and a group with neither insomnia nor obstructive sleep apnea (NISA). This study assessed the clinical utility of the ESS in differentiating sleep disorders amongst a sample (N = 488) of U.S. military personnel with insomnia (n = 92), OSA (n = 142), COMISA (n = 221), and a NISA group (n = 33) which served as the control population.ResultsIn the present sample, 68.4% of service members reported excessive daytime sleepiness (EDS) with an ESS &gt; 10. ESS scores differed between military personnel with COMISA (13.5 ± 4.83) and those with OSA only (11.5 ± 4.08; p &lt; 0.001) and the NISA group (9.46 ± 4.84; p &lt; 0.001). Also, ESS scores differed between patients with insomnia only (13.0 ± 4.84) and the NISA group (p &lt; 0.01).ConclusionsOverall, the ESS had poor ability to differentiate sleep disorders. In military personnel, the ESS appears elevated in the most common sleep disorders, likely due to their insufficient sleep, and does not help to differentiate OSA from insomnia. Further studies are required to validate this questionnaire and determine an appropriate threshold value for abnormal sleepiness in the military population.


2017 ◽  
Vol 2 (1) ◽  

Introduction: Obstructive sleep apnea syndrome (OSAS) is the most common sleep-related respiratory disorder. With the purpose of assisting in the screening or evaluation of OSAS patients, some scales and questionnaires were proposed. Objective: To evaluate and critically compare the relationship of excessive daytime sleepiness with the presence or absence of OSAS, in addition to other polysomnographic data. Material and method: Systematic review of the literature. Results: Six studies were included, with a total of 4258 patients; four studies demonstrate association between the Epworth sleepiness scale and the hypopnea apnea index (AIH); of those, two studies showed significant differences between ESS score and OSAS severity. Five studies (4233 patients) demonstrated lower minimum oxygen saturation in the group with excessive daytime sleepiness. There was an increase in sleep efficiency in in patients with excessive daytime sleepiness, as per the results of 3 studies (3002 patients). Discussion: The relationship between the presence of excessive daytime sleepiness and OSAS is still questioned, and its pathophysiological mechanism uncertain. Excessive daytime sleepiness secondary to OSAS seems to be an independent event, related to nocturnal hypoxemia and sleep fragmentation. Conclusion: The confidence intervals obtained from these studies do not provide clinical safety to use the Epworth sleepiness scale for screening or stratifying the risk of patients suspected of having sleep apnea.


2021 ◽  
Vol 15 (10) ◽  
pp. 2823-2825
Author(s):  
Masood uz Zaman Babar ◽  
Rizwan Ali Tunio ◽  
Sunil Dat Maheshwari ◽  
Ali Hassan ◽  
Hasham Masood Qureshi

Objective: To determine the diagnostic accuracy of stop-bang questionnaire to diagnose high risk patients of obstructive sleep apnea taking polysomnography as gold standard. Methodology: This cross-sectional descriptive study was conducted at Isra University Hospital Hyderabad and help taken from Sleep Disorder Laboratory, The Aga Khan Hospital, Karachi. Patients with age of 18 to 70 years, presenting with symptoms of OSA of either gender were included. History was taken from patients. STOP- BANG Questionnaire was filled out for each patient consenting to participate in the study. All information was noted and entered in the Proforma. Results: Mean age of patients was 40.1 with standard deviation 17.6, mean AHI score was 20 with standard deviation 6 and stop bang score showed average 6.8 with standard deviation 2.7. Distribution of gender showed that most of the patients were male. Diagnostic accuracy calculated for stop bang questionnaire, sensitivity 77.2%, Specificity 65.5%, Positive Predictive Value 75.4%, Negative Predictive Value 67.8%, Diagnostic Accuracy 72.3% of stop bang questionnaire as follows. Conclusion: This study confirms the STOP-Bang questionnaire's high performance in screening for Obstructive sleep apnea (OSA) in the surgical population and sleep clinic. The likelihood of OSA severity increases from moderate to severe with the increasing STOP-Bang score. Keywords: Obstructive sleep apnea, stop-bang questionnaire, apnea-hypopnea index, polysomnogram


2019 ◽  
Vol 8 (1) ◽  
pp. 9-14
Author(s):  
Sanjeet Krishna Shresth ◽  
Sanjeev Shrestha ◽  
Lucky Sharma ◽  
Trilok Shrivastava ◽  
Rinki Mahaseth ◽  
...  

Background and Aims: Shift work has been growing more prevalence and involves irregular working hours when compared to daytime work schedule. This study aims to assess sleep quality, its functional outcome, excessive daytime sleepiness and incidence of obstructive sleep apnea between shift and non-shift workers. Methods: The study candidates were randomly drawn Nepalese, from age 18 years and older, and were enrolled between January 2018 to January 2019. The subjects were divided into either: Shift work or Non-Shift work. The assessment measures were done with Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), STOP-BANG and FOSQ-10 (Functional Outcome of Sleep Quality – 10), using a standard form. Results: A total of 358 participants were included in the main study (176 Non-shift workers, and 182 Shift-workers). The mean BMI among the two group were not significantly different (p =0.43). There was significant difference with 25% Non-Shift workers and 41.21% of Shift workers were found to have Abnormal Sleepiness in the Epworth Sleepiness Scale score (p=0.004). Shift workers showed comparatively higher values for Epworth Sleepiness scale compared to Non-Shift workers in Mann-Whitney analysis, with mean rank 194.11 versus 164.39, respectively, p=0.006. Similarly, 26.29% Non-Shift workers and 36.72% Shift workers were found to have abnormal FOSQ-10 scores, χ2 (1) =4.44, p=0.035. 7.95% of Non-Shift workers and 6.59% of Shift-workers were found to have high risk of OSA in STOP BANG questionnaire, with no significant association, p=0.725. Conclusions: Shift work caused excessive daytime sleepiness and had worse functional outcome but did not increase probability of obstructive sleep apnea.


2017 ◽  
Vol 6 (3) ◽  
pp. 7-15
Author(s):  
Marek Daniłosio ◽  
Jarosław Wysocki ◽  
Monika Prus

Obstructive sleep apnea (OSA) is a disease with a broad social impact. Excessive daytime sleepiness raises suspicion of OSA and together with polysomnography (PSG) is the basis for diagnosis. The Epworth Sleepiness Scale (ESS) is used for objective assessment of daytime sleepiness. Many authors underline a high predictive value of this scale in selecting patients at risk of OSA. Moreover, there is a high agreement between the ESS and PSG. However, some authors oppose the use of this scale. We wanted to verify this issue based on our own data. We enrolled 120 patients who were referred to the Polysomnographic Laboratory, Department of Otolaryngology, Medical University of Warsaw with a suspicion of obstructive sleep apnea. All patients filled out the Epworth Sleepiness Scale. Overnight PSG was performed with 14-channel recordings (Grassm USA), including EEG, EMG, and recordings of the movements of the chest and abdomen. Airflow through the airways was recorded with a nasal-oral temperature probe. PSG was assessed automatically and manually; sleep stages were coded manually for each 30-second interval by a technician. Severity of OSA was assessed based on AHI. There were 96 patients with confirmed OSA and a control group of 24 patients with exclusion of OSA but with different disorders causing excessive daytime sleepiness. The average ESS scores were not significantly different between the subgroups, between genders, and in patients with different severity of OSA. ESS scores did not correlate significantly with any of the tested PSG parameters. In conclusion, the ESS should be used as an additional and only ancillary tool in assessing patients with suspected OSA.


2017 ◽  
Vol 50 (2) ◽  
pp. 102
Author(s):  
Thiago Matnei ◽  
Marcelo Augusto Souza Deschk ◽  
Jivago Szpoganicz Sabatini ◽  
Luciana De Paula Souza ◽  
Rafael Francisco dos Santos ◽  
...  

Introdução: A sonolência excessiva diurna (SED) é um importante transtorno do sono e frequentemente é associado à síndrome da apneia-hipopneia obstrutiva do sono (SAHOS). É conhecido como um fator predisponente comum para acidentes, redução da produtividade, comprometimento neurocognitivo e interpessoal e/ou problemas sociais. Portanto, a detecção precoce da SED é fundamental. Objetivo: Avaliar a correlação da escala de sonolência de Epworth (ESE) com parâmetros polissonográficos nos pacientes com SAHOS. Métodos: O estudo avaliou 1264 laudos de exames de polissonografia de pacientes com SAHOS admitidos de janeiro de 2009 até dezembro de 2013 no Instituto do Sono dos Campos Gerais. Os laudos foram divididos inicialmente em grupos de acordo com a gravidade da SAHOS e em seguida de acordo com a pontuação obtida na ESE e avaliados de acordo com os resultados dos parâmetros polissonográficos. Resultados: Dos laudos analisados, 822 (65,03%) eram de pacientes do sexo masculino e 442 (34,97%) do sexo feminino. A análise da pontuação da ESE evidenciou uma relação com a SAHOS (r = 0,175, p < 0,00001). Quando analisado os subgrupos de gravidade, apenas a SAHOS grave apresentou correlação significativa com a ESE (r = 0,136, p = 0,0004). Conclusões: A escala possui correlação com a SAHOS grave. Devido à importância da detecção precoce da sonolência, a ESE pode ser utilizada como método de avaliação rápida em pacientes com a SAHOS, estimando sua gravidade e a existência de SED


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