24 research outputs found

    Influence of Marital Status and Employment Status on Long-Term Adherence with Continuous Positive Airway Pressure in Sleep Apnea Patients

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    ) of consecutive OSAHS patients in whom CPAP had been prescribed for at least 90 days, we studied the impact on long-term treatment adherence of socioeconomic factors, patients and disease characteristics prior to CPAP initiation. living alone; p = 0.01). Age, gender, Epworth sleepiness scale, depressive syndrome, associated cardiovascular morbidities, educational attainment and occupation category did not influence CPAP adherence.Marital status and employment status are independent factors of CPAP adherence in addition to BMI and disease severity. Patients living alone and/or working patients are at greater risk of non-adherence, whereas adherence is higher in married and retired patients. These findings suggest that the social context of daily life should be taken into account in risk screening for CPAP non-adherence. Future interventional studies targeting at-risk patients should be designed to address social motivating factors and work-related barriers to CPAP adherence

    Independent association between obstructive sleep apnea severity and glycated hemoglobin in adults without diabetes

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    OBJECTIVE: We tested the hypothesis of an independent cross-sectional association between obstructive sleep apnea (OSA) severity and glycated hemoglobin (HbA(1c)) in adults without known diabetes. RESEARCH DESIGN AND METHODS: HbA(1c) was measured in whole-blood samples from 2,139 patients undergoing nocturnal recording for suspected OSA. Participants with self-reported diabetes, use of diabetes medication, or HbA(1c) value ≥6.5% were excluded from this study. Our final sample size comprised 1,599 patients. RESULTS: A dose-response relationship was observed between apnea-hypopnea index (AHI) and the percentage of patients with HbA(1c) >6.0%, ranging from 10.8% for AHI <5 to 34.2% for AHI ≥50. After adjustment for age, sex, smoking habits, BMI, waist circumference, cardiovascular morbidity, daytime sleepiness, depression, insomnia, sleep duration, and study site, odds ratios (95% CIs) for HbA(1c) >6.0% were 1 (reference), 1.40 (0.84-2.32), 1.80 (1.19-2.72), 2.02 (1.31-3.14), and 2.96 (1.58-5.54) for AHI values <5, 5 to <15, 15 to <30, 30 to <50, and ≥50, respectively. Increasing hypoxemia during sleep was also independently associated with the odds of HbA(1c) >6.0%. CONCLUSIONS: Among adults without known diabetes, increasing OSA severity is independently associated with impaired glucose metabolism, as assessed by higher HbA(1c) values, which may expose them to higher risks of diabetes and cardiovascular disease

    Association Between Severity of Obstructive Sleep Apnea and Blood Markers of Liver Injury

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    Obstructive sleep apnea (OSA) may contribute to the development of nonalcoholic fatty liver disease. We performed a multisite cross-sectional study to evaluate the association between the severity of OSA and blood markers of liver steatosis (using the hepatic steatosis index), cytolysis (based on alanine aminotransferase activity), and significant liver fibrosis (based on the FibroMeter [Echosens] nonalcoholic fatty liver disease score) in 1285 patients with suspected OSA in France. After adjusting for confounders including central obesity, the risk of liver steatosis increased with the severity of OSA (P for trend < .0001) and sleep-related hypoxemia (P for trend < .0003 for mean oxygen saturation). Decreasing mean oxygen saturation during sleep also was associated independently with a higher risk of liver cytolysis (P for trend < .0048). Severe OSA conferred an approximate 2.5-fold increase in risk for significant liver fibrosis compared with patients without OSA, but the association between OSA severity and liver fibrosis was not maintained after adjusting for confounders

    Depressive Symptoms Before and After Long-term CPAP Therapy in Patients With Sleep Apnea

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    International audienceBACKGROUND:The outcome of depressive symptoms under CPAP therapy for OSA-hypopnea syndrome (OSAHS) has been poorly evaluated. In this multicenter, prospective cohort study, we evaluated the prevalence and correlates of persistent depressive symptoms after long-term CPAP therapy for OSAHS.METHODS:This study included 300 patients with OSAHS and depressive symptoms (13-item, self-rated Pichot depression scale [QD2A] ≥ 7) at diagnosis. The primary dependent variable was persistent depressive symptoms after ≥ 1 year of CPAP therapy. Multivariate regression analyses were performed to determine variables independently associated with the persistence of depressive symptoms.RESULTS:After an average of 529 days (range, 365-1,569 days) of CPAP therapy, the mean (SD) QD2A score decreased from 9.2 (2.0) to 5.4 (4.0) (P &amp;lt; .0001), but 125 patients (41.7%) presented persistent depressive symptoms. The persistence of depressive symptoms was independently associated with persistent excessive daytime sleepiness (EDS) (OR, 2.72; 95% CI, 1.33-5.61), comorbid cardiovascular disease (OR, 1.76; 95% CI, 1.02-3.00), and female sex (OR, 1.53; 95% CI, 1.09-2.13). A positive linear trend was observed for the adjusted OR of persistent depressive symptoms with decreasing CPAP effect on the Epworth sleepiness scale (P &amp;lt; .0001).CONCLUSIONS:CPAP therapy does not resolve depressive symptoms in many patients with OSAHS. Persistent depressive symptoms are strongly associated with EDS. Active monitoring of depressive symptoms is needed in patients with OSAHS who are treated with CPAP. Interventional trials are required to evaluate the impact of antidepressants, cognitive behavioral therapy, or both on comorbid depression in patients with OSAHS.</p

    Stepwise regression analysis of variables influencing CPAP adherence.

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    <p>Abbreviations: CPAP, continuous positive airway pressure; AHI, apnea-hypopnea index;</p><p>CPAP adherence: CPAP use ≥4 h/night.</p><p>Significant level for p value: <0.05.</p><p>Area under the ROC: 0.607.</p

    Multivariate adjusted Odds Ratio (OR) (95% confidence interval [CI]) for hypertension associated with sleep duration in the whole obstructive sleep apnea (OSA) group and in the 2 categories of OSA severity.

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    <p>SDB, sleep-disordered breathing.</p><p>OR were adjusted for age, gender, obesity, diabetes, depression, current smoking, use of thyroid hormones, excessive daytime sleepiness, poor sleep, time spent in slow wave sleep, overall arousal index, time in bed, and study site.</p><p>* p<0.05.</p><p>**p<0.01.</p><p>Multivariate adjusted Odds Ratio (OR) (95% confidence interval [CI]) for hypertension associated with sleep duration in the whole obstructive sleep apnea (OSA) group and in the 2 categories of OSA severity.</p
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