Abstract WP445: Age Differences in the Impact of Sleep Apnea on Cognition and Quality of Life

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Kristin J Addison-Brown ◽  
Abraham J Letter ◽  
Henry K Yaggi ◽  
Leslie A McClure ◽  
Frederick W Unverzagt ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sleep Apnea ◽  
Cognitive Function ◽  
High Risk ◽  
Racial Differences ◽  
Short Form ◽  
Epidemiological Studies ◽  
Obstructive Sleep ◽  
The Impact

Introduction: Using a subsample from the national REasons for Geographic And Racial Differences in Stroke (REGARDS) study, we examined the associations of obstructive sleep apnea (OSA) with cognition and quality of life and whether these associations vary with age while controlling for other demographic factors and comorbid medical conditions. Methods: Stroke-free participants with complete data on OSA risk, cognition, and quality of life as of October 2010 were included (N =2,925; ages 47-93, 43% men, 35% black, 65% white). OSA risk was defined as high or low based on responses to the Berlin Sleep Questionnaire (BSQ). Cognitive function was assessed with three validated fluency and recall measures; quality of life was assessed with the 4-item Center for Epidemiological Studies-Depression (CESD-4) scale and the Medical Outcomes Study Short Form-12 (SF-12). MANCOVA statistics were applied to the cognitive and quality of life outcomes separately while accounting for potential confounders (age, sex, race, education, diabetes and dyslipidemia). Body mass index and hypertension were taken into account as part of the BSQ definition of OSA risk. Results: In fully adjusted models, those at high risk for OSA had significantly lower cognitive scores (p < .05) and lower quality of life (depressive symptoms and SF-12) (p < .0001) than those at low risk. Some of the associations were age-dependent, such that younger participants with high OSA risk had worse cognitive and quality of life scores than both younger participants with low OSA risk and older participants with high OSA risk. Discussion: Lower cognitive function and lower quality of life in those at high risk for sleep apnea remained after accounting for potentially confounding factors in a population-based sample. These relationships were more pronounced during middle age, with attenuated effects after age 70. It may be of particular importance to detect and treat OSA in younger adults.

Impact of adenotonsillectomy on the quality of life of patients operated on at the Hospital de Clínicas, Paraguay

2021 ◽  
pp. 1-7
Author(s):  
Carlos Mena Canata ◽  
Rebeca Noemí Ruiz Vallejos
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Rural Areas ◽  
Urban Areas ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
Before And After ◽  
The Impact

The objective of this study is to determine the impact of adenotonsillectomy on the quality of life of postoperative patients.The study is observational, cross-sectional, and retrospective. The files of all postoperative adenotonsillectomy patients in Otorhinolaryngology Service, Hospital de Clínicas, San Lorenzo Paraguay. The Obstructive sleep apnea – 18 questionnaire (OSA 18) was applied, asking patients about symptoms before and after surgery. An effective sample of 143 postoperative patients was obtained. The average age was 6.05 ± 2.08 years, 55.10% (81) were male and 44.89% (66) were female, 65.30% (96) were from urban areas and 34.69% (51) from the rural areas. The t test was performed for means of two paired samples, comparing the results of the Obstructive sleep apnea – 18 questionnaire surveys before and after surgery which presented a significant difference (p <0.05) with a tendency to improve the quality of life after surgery. It has been shown that there is a significant difference, a considerable improvement in the quality of life of patients after adenotonsillectomy.

scholarly journals Obstructive sleep apnea and quality of life in elderly patients with a pacemaker

2019 ◽  
Vol 45 (1) ◽  
Author(s):  
Tatiana Albuquerque Gonçalves de Lima ◽  
Evandro Cabral de Brito ◽  
Robson Martins ◽  
Sandro Gonçalves de Lima ◽  
Rodrigo Pinto Pedrosa
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Elderly Patients ◽  
Short Form ◽  
Anxiety And Depression ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep ◽  
Sf 36

ABSTRACT Objective: To evaluate quality of life in elderly patients with obstructive sleep apnea (OSA) who have a pacemaker. Methods: This was a cross-sectional study involving elderly patients (≥ 60 years of age) with a pacemaker. The dependent variable was quality of life, as evaluated with the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36). Sociodemographic and clinical parameters, including anxiety and depression (Hospital Anxiety and Depression Scale score), as well as the presence of OSA (defined as an apnea-hypopnea index ≥ 15 events/h), were analyzed as independent variables. Patients with cognitive/neurological deficits or decompensated heart failure were excluded. Results: We evaluated 72 patients, 17 (23.6%) of whom presented OSA. Of those 17 patients, 9 (52.9%) were male. The mean age was 72.3 ± 9.3 years. A diagnosis of OSA was not associated with gender (p = 0.132), age (p = 0.294), or body mass index (p = 0.790). There were no differences between the patients with OSA and those without, in terms of the SF-36 domain scores. Fourteen patients (19.4%) presented moderate or severe anxiety. Of those 14 patients, only 3 (21.4%) had OSA (p = 0.89 vs. no OSA). Twelve patients (16.6%) had moderate or severe depression. Of those 12 patients, only 2 (16.6%) had OSA (p = 0.73 vs. no OSA). Conclusions: In elderly patients with a pacemaker, OSA was not found to be associated with quality of life or with symptoms of anxiety or depression.

The impact of persistent pediatric obstructive sleep apnea on the Quality of Life of Patients’ families

2020 ◽  
Vol 129 ◽  
pp. 109723
Author(s):  
Mathieu Bergeron ◽  
Angela L. Duggins ◽  
Aliza P. Cohen ◽  
Brittany A. Leader ◽  
Stacey L. Ishman
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep ◽  
The Impact

scholarly journals Quality of life and metabolic disorders in patients with obstructive sleep apnea

2012 ◽  
Vol 35 (2) ◽  
pp. 105 ◽  
Author(s):  
Emel Bulcun ◽  
Aydanur Ekici ◽  
Mehmet Ekici
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Metabolic Disorders ◽  
Obstructive Sleep ◽  
The Impact

Purpose: Quality of life (QoL) may be poor in patients with sleep apnea depending on multifactorial reasons. In this observational study, we examined the factors determining QoL in patients with obstructive sleep apnea (OSA) and nonapneic snoring subjects. Methods: Complete assessments were obtained on 111 subjects who diagnosed OSA and 18 nonapneic snoring subjects. Fasting blood samples of all of subjects were taken to determine insulin resistance (IR) and oral glucose tolerance tests were performed to diagnose disorders of glucose metabolism (DGM). Quality of life, with short form (SF)-36, and excessive daytime sleepiness, with epwort sleepness scale (ESS), were evaluated. Results: The mean age of the patients with OSA was higher than that of the nonapneic snoring subjects (48.4 ± 9.6 years and 43.0 ± 11.8 years, respectively; p=0.03). BMI was also significantly higher in the patients with OSA than in the nonapneic snorers (31.0 ± 4.5 and 27.1 ± 4.0, respectively; p=0.001). The mental health component in the patients with OSA was slightly but not significantly lower than the nonapneic snoring subjects (p=0.05). A negative correlation among most domains of quality of life with scores of ESS, body mass index (BMI), presence of hypertension (HT) and DGM was found. Only physicial functioning was negatively correlated with apnea hypopnea index (AHI). In linear regression analysis, there were negative associations among physical functioning with BMI, presence of HT and DGM while there was no association between physicial functioning and AHI. In addition, there were negative correlations between mental health component with BMI and presence of HT in the multivariate analysis. Obese patients with OSA had lower physicial and mental components compared with nonobese patients with OSA. Conclusion: The impact of OSA on quality of life can be attributed to excessive daytime sleepiness. Obesity and metabolic disorders in patients with OSA may also negatively affect the quality of life.

scholarly journals The triad of obstructive sleep apnea syndrome, COPD, and obesity: sensitivity of sleep scales and respiratory questionnaires

2018 ◽  
Vol 44 (3) ◽  
pp. 202-206 ◽  
Author(s):  
Flávio Danilo Mungo Pissulin ◽  
Francis Lopes Pacagnelli ◽  
Maiara Almeida Aldá ◽  
Ricardo Beneti ◽  
Jefferson Luis de Barros ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
Obstructive Sleep Apnea Syndrome ◽  
Daytime Sleepiness ◽  
Sleep Apnea Syndrome ◽  
Obstructive Sleep ◽  
Apnea Syndrome

ABSTRACT Objective: To investigate whether the presence of obstructive sleep apnea syndrome (OSAS) alters the perception of respiratory symptoms and quality of life in COPD patients, by using specific questionnaires, as well as to determine whether scales for assessing daytime sleepiness and for screening for OSAS can be used in the triad of OSAS, COPD, and obesity. Methods: We included 66 patients diagnosed with mild-to-moderate or severe COPD and presenting with a body mass index > 27 kg/m2. After polysomnography, patients completed the Epworth sleepiness scale (ESS), the Berlin questionnaire (BQ), the modified Medical Research Council (mMRC) scale, the Baseline Dyspnea Index (BDI), and the Saint George’s Respiratory Questionnaire (SGRQ). Results: Patients were first divided into two groups: COPD + OSAS (n = 46); and COPD-only (n = 20). The COPD + OSAS group was subdivided into a COPD + mild-to-moderate OSAS group (n = 32) and a COPD + severe OSAS group (n = 14), all of which were compared with the COPD-only group. There was a significant difference in mean FEV1 (L) between the COPD + OSAS groups and the COPD-only group (p = 0.073). The presence of the triad did not lead to significantly higher ESS scores, and scores > 10 had a specificity of 0.58. The BQ did not identify high risk for OSAS in the presence of the triad (specificity of 0.31). There were no significant differences in domain or total scores of the SGRQ between the COPD + OSAS groups and the COPD-only group. Conclusions: The confounding factors present in the triad of OSAS, COPD, and obesity prevented the perception of increased daytime sleepiness and high risk for OSAS. We observed no worsening of dyspnea perception or quality of life.

scholarly journals Gender characteristics of obstructive sleep apnea syndrome clinical manifestations and patients' quality of life

2019 ◽  
Vol 16 (3) ◽  
pp. 53-57
Author(s):  
Narine T Khachatryan ◽  
Evgeniia M Elfimova ◽  
Oksana O Mikhailova ◽  
Aleksandr Yu Litvin ◽  
Irina E Chazova
Keyword(s):  
Quality Of Life ◽  
Gender Differences ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Obstructive Sleep ◽  
Apnea Syndrome ◽  
The Impact

Obstructive sleep apnea - is a socially significant disease that leads to an increased risk of developing cardiovascular complications and dramatically worsens the patient's quality of life. For a long time, the disease was considered exclusively male, however, the results of recent epidemiological studies reflect a decrease in the difference of the incidence between men and women. These changes are due to a more targeted study of the manifestations and clinical course of the disease, as well as new approaches in the diagnosis of obstructive sleep apnea syndrome. The review is focused on the analysis of recent data on gender differences in the prevalence, pathophysiology of obstructive sleep apnea, diagnostic approaches and clinical manifestation of the disease. It also considers the impact of gender on the quality of life and sleep. The obtained results can help better explain the mechanisms of gender differences, as well as form new trends in the development of clinical trials.

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