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Association of adiponectin level and obstructive sleep apnea prevalence in obese subjects.

ABSTRACT: Obstructive sleep apnea (OSA) is prevalent in obese subjects. Plasma adiponectin level in obese subjects is decreased. Whether reduced adiponectin level is associated with OSA is unknown. Participants without a previous diagnosis of OSA or who have not been treated with continuous positive airway pressure were enrolled and parameters of interest were collected. Polysomnography was performed to evaluate the presence of OSA and the severity of OSA as indexed by the apnea-hypopnea index (AHI). Between-group differences were analyzed. Pearson correlation analysis was used to evaluate the association between body mass index (BMI) with plasma levels of adiponectin and C-reactive protein (CRP) and AHI; and the association between plasma adiponectin level with CRP and AHI was also evaluated. Logistic regression analysis was conducted to evaluate the association between per 1-SD standardized decrease of plasma adiponectin level and the prevalence of OSA using stepwise adjustment models. A total of 486 participants were enrolled and the mean BMI was 26.9 ± 6.2 kg/m with obesity prevalence of 28%; and the mean AHI was 12.6 ± 8.9 per sleep hour with OSA prevalence of 42%. The mean adiponectin level was 18.4 ± 10.6 μg/mL. Compared with the nonobese group, participants in the obese group had higher BMI, neck girth, waist circumference, and AHI (P < .05 for all comparisons). The prevalence of OSA (51% vs 37%) and the proportion of moderate OSA (49% vs 42%) were also significantly higher, while adiponectin level (14.6 ± 8.7 μg/mL vs 20.7 ± 10.5 μg/mL) was significantly lower. In the obese group, plasma adiponectin level was decreased gradually with the increasing severity of OSA, which was not observed in the nonobese group. BMI was negatively correlated with adiponectin while positively correlated with CRP and AHI; and adiponectin was negatively correlated with both CRP and AHI. After adjusted for covariates including BMI and waist circumference, adiponectin remained significantly associated with OSA prevalence with odds ratio of 1.20 (95% confidence interval 1.12-1.65). In summary, our preliminary study suggests that in obese subjects, plasma adiponectin level is associated with the prevalence of OSA.

SUBMITTER: Zeng F

PROVIDER: S-EPMC5556243 | biostudies-other | 2017 Aug

REPOSITORIES: biostudies-other

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Project description:BackgroundObesity is prevalent among pregnant women in the United States; obstructive sleep apnea is highly comorbid with obesity and is associated with adverse pregnancy outcomes. Screening for obstructive sleep apnea in pregnant women has remained a challenge because of a lack of validated screening tools.ObjectiveThe purpose of this study was to evaluate established obstructive sleep apnea screening tools, a sleepiness scale, and individual component items in a cohort of pregnant women with extreme obesity in mid pregnancy with the use of objective testing to determine obstructive sleep apnea status and to describe the prevalence of obstructive sleep apnea among women with extreme obesity.Study designAdult pregnant subjects, between 24 and 35 weeks gestation, with a body mass index ≥40 kg/m2 at the time of enrollment completed obstructive sleep apnea screening tools (Berlin Questionnaire, American Society of Anesthesiologists checklist, and STOP-BANG questionnaire) and the Epworth Sleepiness Scale; they also underwent physical examination of the neck, mouth, and airway. The published obstructive sleep apnea in pregnancy prediction score was calculated for each subject. Obstructive sleep apnea status for each subject was determined by the results of an overnight, unattended type III home sleep apnea test.ResultsTwenty-four percent of pregnant women with extreme obesity had obstructive sleep apnea on home sleep apnea testing in mid pregnancy (Apnea-Hypopnea Index, ≥5 events per hour]. Established obstructive sleep apnea screening tools performed very poorly to screen for obstructive sleep apnea in this cohort. Age, body mass index, neck circumference, frequently witnessed apneas, and highly likely to fall asleep while driving were associated most strongly with obstructive sleep apnea status in this cohort.ConclusionWe found that 24% of pregnant women with body mass index ≥40 kg/m2 between 24 and 35 weeks gestation have obstructive sleep apnea, defined as Apnea-Hypopnea Index ≥5 events per hour on an overnight type III home sleep apnea test. We found the Berlin Questionnaire, American Society of Anesthesiologists checklist, STOP-BANG, obstructive sleep apnea in pregnancy score by Facco et al, and the Epworth Sleepiness Scale were not useful screening tools for obstructive sleep apnea in a cohort of obese pregnant women. However, age, body mass index, neck circumference, frequently witnessed apneas, and likely to fall asleep while driving were associated with obstructive sleep apnea in this cohort. Further studies are needed to adjust the criteria and thresholds within the available screening tools to better predict obstructive sleep apnea in pregnant women with obesity.

Project description:Importance:While much has been reported on the relationship between floppy eyelid syndrome and obstructive sleep apnea (OSA), the diagnostic criteria of floppy eyelid syndrome are often subjective and vague. Objective:To evaluate the association between OSA and quantitative markers of eyelid laxity or secondary ocular surface disease in a sleep clinic population. Design, Setting, and Participants:This investigation was a cross-sectional observational study at the Center for Sleep Medicine at Icahn School of Medicine at Mount Sinai. Participants were individuals referred for overnight polysomnography from March 1 to August 30, 2015. Main Outcomes and Measures:Eyelid laxity and ocular surface disease were assessed on bedside ophthalmologic examination. The presence and severity of OSA were determined from polysomnography results. Initial correlation between OSA and ocular surface and eyelid markers was calculated through bivariate linear regression analysis, and the association between ocular symptoms was obtained through bivariate ordered logistic regression. Analysis was repeated adjusting for known associations between OSA and sex, age, body mass index, and medical comorbidities through multivariable analysis. Results:In total, 201 individuals (402 eyes) were enrolled in the study. Their mean (SD) age was 53.2 (13.5) years, 43.3% (n?=?87) were female, 56.7% (n?=?114) were of white race/ethnicity, 26.9% (n?=?54) were black/African American, 4.0% (n?=?8) were Asian, 8.0% (n?=?16) were multiracial or other, and 4.5% (n?=?9) were of unknown race/ethnicity, with 21.9% (n?=?44) of all individuals self-identifying as Hispanic and 75.1% (n?=?151) self-identifying as non-Hispanic. After adjustment, no association was observed between OSA severity and an eyelid laxity score (regression coefficient, 0.85; 95% CI, -0.33 to 0.62; P?=?.40) or an ocular surface score (regression coefficient, 1.09; 95% CI, -0.32 to 0.29; P?=?.93). Through subset analysis, male sex was associated with a higher ocular surface score, while older age and diabetes were associated with a higher eyelid laxity score. Only one patient (0.5%) exhibited findings of floppy eyelid syndrome. Conclusions and Relevance:Among individuals referred for overnight polysomnography, quantitative markers of eyelid laxity were not associated with the presence or severity of OSA. Subset analysis suggests that prior studies may have been limited by confounding variables or the technique of identifying eyelid laxity.

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Association of adiponectin level and obstructive sleep apnea prevalence in obese subjects.

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