16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): The challenge to predict OSA in advanced COPD

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The combination of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA) is associated with substantial morbidity and mortality. We hypothesized that predictors of OSA among patients with COPD may be distinct from OSA in the general population. Therefore, we investigated associations between traditional OSA risk factors (e.g. age), and sleep questionnaires [e.g. Epworth Sleepiness Scale] in 44 patients with advanced COPD. As a second aim we proposed a pilot, simplified screening test for OSA in patients with COPD. In a prospective, observational study of patients enrolled in the UCSD Pulmonary Rehabilitation Program we collected baseline characteristics, cardiovascular events (e.g. atrial fibrillation), and sleep questionnaires [e.g. Pittsburgh Sleep Quality Index (PSQI)]. For the pilot questionnaire, a BMI ≥25 kg/m 2 and the presence of cardiovascular disease were used to construct the pilot screening test. Male: 59%; OSA 66%. FEV1 (mean ± SD) = 41.0±18.2% pred., FEV1/FVC = 41.5±12.7%]. Male gender, older age, and large neck circumference were not associated with OSA. Also, Epworth Sleepiness Scale and the STOP-Bang questionnaire were not associated with OSA in univariate logistic regression. In contrast, BMI ≥25 kg/m 2 (OR = 3.94, p = 0.04) and diagnosis of cardiovascular disease (OR = 5.06, p = 0.03) were significantly associated with OSA [area under curve (AUC) = 0.74]. The pilot COPD-OSA test (OR = 5.28, p = 0.05) and STOP-Bang questionnaire (OR = 5.13, p = 0.03) were both associated with OSA in Receiver Operating Characteristics (ROC) analysis. The COPD-OSA test had the best AUC (0.74), sensitivity (92%), and specificity (83%). A ten-fold cross-validation validated our results.

          We found that traditional OSA predictors (e.g. gender, Epworth score) did not perform well in patients with more advanced COPD. Our pilot test may be an easy to implement instrument to screen for OSA. However, a larger validation study is necessary before further clinical implementation is warranted.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: not found
          • Article: not found

          Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Prospective study of the association between sleep-disordered breathing and hypertension.

            Sleep-disordered breathing is prevalent in the general population and has been linked to chronically elevated blood pressure in cross-sectional epidemiologic studies. We performed a prospective, population-based study of the association between objectively measured sleep-disordered breathing and hypertension (defined as a laboratory-measured blood pressure of at least 140/90 mm Hg or the use of antihypertensive medications). We analyzed data on sleep-disordered breathing, blood pressure, habitus, and health history at base line and after four years of follow-up in 709 participants of the Wisconsin Sleep Cohort Study (and after eight years of follow-up in the case of 184 of these participants). Participants were assessed overnight by 18-channel polysomnography for sleep-disordered breathing, as defined by the apnea-hypopnea index (the number of episodes of apnea and hypopnea per hour of sleep). The odds ratios for the presence of hypertension at the four-year follow-up study according to the apnea-hypopnea index at base line were estimated after adjustment for base-line hypertension status, body-mass index, neck and waist circumference, age, sex, and weekly use of alcohol and cigarettes. Relative to the reference category of an apnea-hypopnea index of 0 events per hour at base line, the odds ratios for the presence of hypertension at follow-up were 1.42 (95 percent confidence interval, 1.13 to 1.78) with an apnea-hypopnea index of 0.1 to 4.9 events per hour at base line as compared with none, 2.03 (95 percent confidence interval, 1.29 to 3.17) with an apnea-hypopnea index of 5.0 to 14.9 events per hour, and 2.89 (95 percent confidence interval, 1.46 to 5.64) with an apnea-hypopnea index of 15.0 or more events per hour. We found a dose-response association between sleep-disordered breathing at base line and the presence of hypertension four years later that was independent of known confounding factors. The findings suggest that sleep-disordered breathing is likely to be a risk factor for hypertension and consequent cardiovascular morbidity in the general population.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force.

                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                16 May 2017
                2017
                : 12
                : 5
                : e0177289
                Affiliations
                [1 ]Department of Medicine, Pulmonary, Critical Care and Sleep Division, UC San Diego, San Diego, CA, United States of America
                [2 ]Department of Medicine, UC Riverside, Riverside, CA, United States of America
                [3 ]Pulmonary Division, University Hospital Miguel Servet, IISAragón, CIBERES, Zaragoza, Spain
                [4 ]Pulmonary Division, Sleep Laboratory, Hospital das Clinicas, Faculda de de Medicina da Universidade de São Paulo, São Paulo, Brasil
                Universidad Francisco de Vitoria, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: XS ALR AM.

                • Formal analysis: XS SL ALR AM.

                • Funding acquisition: XS ALR AM.

                • Investigation: XS.

                • Methodology: XS SL ALR AM.

                • Project administration: XS ALR AM.

                • Resources: XS ALR AM.

                • Supervision: ALR AM.

                • Validation: XS SL PDY ALR AM.

                • Writing – original draft: XS SL ALR AM.

                • Writing – review & editing: XS SL JMM GLF RJ PDY RLO ALR AM.

                ‡ ALR and AM are joint senior authors on this work.

                Author information
                http://orcid.org/0000-0002-0099-0847
                Article
                PONE-D-16-30653
                10.1371/journal.pone.0177289
                5433709
                28510598
                50321738-ea80-466c-994e-7a6422748c4a
                © 2017 Soler et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 August 2016
                : 25 April 2017
                Page count
                Figures: 0, Tables: 4, Pages: 12
                Funding
                Funded by: Tobacco-Related Disease Research Program (US)
                Award ID: 19KT-0014
                Award Recipient :
                Funded by: American Thoracic Society (US)
                Award ID: 2014 ATS Foundation Recognition Awards for Outstanding Early Career Investigators
                Award Recipient :
                Funded by: Center of Translational Research Institute (CTRI)
                Award ID: Seed grant, from the National Institutes of Health UL1TR000100
                Award Recipient :
                Xavier Soler was funded exclusively by the Tobacco Related Disease Research Program (TRDRP), New Investigator Award (KT-0014), http://trdrp.yes4yes.com/fundedresearch/person_page.php?person_id=35105; a Center of Translational Research Institute (CTRI) seed grant, from the National Institutes of Health (grant UL1TR000100), http://www.ctri.ucsd.edu/funding/Pilot-Projects/Pages/awardees-table.aspx; and the 2014 ATS Foundation Recognition Awards for Outstanding Early Career Investigators, http://foundation.thoracic.org. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Pulmonology
                Chronic Obstructive Pulmonary Disease
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Sleep
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Sleep
                Medicine and Health Sciences
                Cardiovascular Medicine
                Cardiovascular Diseases
                Medicine and Health Sciences
                Neurology
                Sleep Disorders
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Pulmonology
                Apnea
                Sleep Apnea
                Medicine and Health Sciences
                Neurology
                Sleep Disorders
                Sleep Apnea
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Hypertension
                Custom metadata
                All relevant data are within the paper. The data are also held in the Dryad public repository DOIs doi: 10.5061/dryad.80h0d. The authors may be contacted at xsoler@ 123456ucsd.edu and will provide additional information if requested.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article