Dataset Information

Recognition and Diagnosis of Obstructive Sleep Apnea in Older Americans.

ABSTRACT:

Objectives

To estimate the proportion of older Americans at risk for obstructive sleep apnea (OSA) who receive OSA evaluations, diagnosis, and treatment.

Design

Cross sectional study.

Setting

National Health and Aging Trends Study (NHATS), Round 3 survey.

Participants

Community-dwelling Medicare beneficiaries age 65 and older (N=1,052).

Measurements

NHATS participants were asked specific questions about sleep disturbances, including items that resembled critical elements of a validated instrument used to assess OSA risk (the STOP-Bang questionnaire). The proportion of older Americans at risk for OSA who received evaluations with home or in-laboratory sleep studies, OSA diagnosis, and OSA treatment was examined, as well as clinical, social, and demographic correlates of OSA.

Results

Of 1,052 participants who completed the sleep module, 56% (95% confidence interval (CI)=53-59%) were estimated to be at high risk of OSA. Only 8% (95% CI=5-11%) of the high-risk individuals had been tested for it. Of those tested, 94% (95% CI=87-100%) were diagnosed with OSA. Treatment with positive airway pressure was prescribed for 82% (95% CI=65-99%) of participants with an OSA diagnosis.

Conclusions

Evidence from this nationally representative sample of community-dwelling Medicare beneficiaries suggests that high OSA risk is common but seldom investigated. When investigated, OSA is almost always confirmed and usually treated. These findings suggest a significant gap in OSA assessment for older Americans that could have public health implications.

SUBMITTER: Braley TJ

PROVIDER: S-EPMC6097901 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Publications

Recognition and Diagnosis of Obstructive Sleep Apnea in Older Americans.

Braley Tiffany J TJ Dunietz Galit Levi GL Chervin Ronald D RD Lisabeth Lynda D LD Skolarus Lesli E LE Burke James F JF

Journal of the American Geriatrics Society 20180509 7

<h4>Objectives</h4>To estimate the proportion of older Americans at risk for obstructive sleep apnea (OSA) who receive OSA evaluations, diagnosis, and treatment.<h4>Design</h4>Cross sectional study.<h4>Setting</h4>National Health and Aging Trends Study (NHATS), Round 3 survey.<h4>Participants</h4>Community-dwelling Medicare beneficiaries age 65 and older (N=1,052).<h4>Measurements</h4>NHATS participants were asked specific questions about sleep disturbances, including items that resembled critic ...[more]

PMID: 29744855

Similar Datasets

Project description:Study objectivesWe investigated the diagnostic accuracy for the identification of obstructive sleep apnea (OSA) and its severity of a noninvasive technology based on image processing (SleepWise).MethodsThis is an observational, prospective study to evaluate the degree of agreement between polysomnography (PSG) and SleepWise. We recruited 56 consecutive subjects with suspected OSA who were referred as outpatients to the Sleep Unit of the Hospital Universitari Germans Trias i Pujol (HUGTiP) from January 2013 to January 2014. All patients underwent laboratory PSG and image processing with SleepWise simultaneously the same night. Both PSG and SleepWise analyses were carried independently and blindly.ResultsWe analyzed 50 of the 56 patients recruited. OSA was diagnosed through PSG in a total of 44 patients (88%) with a median apnea-hypopnea index (AHI) of 25.35 (24.9). According to SleepWise, 45 patients (90%) met the criteria for a diagnosis of OSA, with a median AHI of 22.8 (22.03). An analysis of the ability of PSG and SleepWise to classify patients by severity on the basis of their AHI shows that the two diagnostic systems distribute the different groups similarly. According to PSG, 23 patients (46%) had a diagnosis of severe OSA, 11 patients (22%) moderate OSA, and 10 patients (20%) mild OSA. According to SleepWise, 20, 13, and 12 patients (40%, 26%, and 24%, respectively) had a diagnosis of severe, moderate, and mild OSA respectively. For OSA diagnosis, SleepWise was found to have sensitivity of 100% and specificity of 83% in relation to PSG. The positive predictive value was 97% and the negative predictive value was 100%. The Bland-Altman plot comparing the mean AHI values obtained through PSG and SleepWise shows very good agreement between the two diagnostic techniques, with a bias of -3.85, a standard error of 12.18, and a confidence interval of -0.39 to -7.31.ConclusionsSleepWise was reasonably accurate for noninvasive and automatic diagnosis of OSA in outpatients. SleepWise determined the severity of OSA with high reliability. The current study including simultaneous laboratory PSG and SleepWise processing image is proposed as a reasonable validation standard.

Dataset Information

Recognition and Diagnosis of Obstructive Sleep Apnea in Older Americans.

Objectives

Design

Setting

Participants

Measurements

Results

Conclusions

Publications

Recognition and Diagnosis of Obstructive Sleep Apnea in Older Americans.

Similar Datasets

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