Literature DB >> 10893084

Sleep-disordered breathing and cardiovascular disease: epidemiologic evidence for a relationship.

T Young1, P Peppard.   

Abstract

Epidemiology studies of SDB and CVD to date do not provide a conclusive answer to the question of the degree to which SDB impacts CVD or mortality due to CVD. However, most of the studies seem to be consistent with a positive, but perhaps small, association. All the findings discussed or referred to in this review are likely to be biased to some degree. Bias can be both towards underestimation (e.g., from mismeasurment of SDB, and over-control for intermediate factors) and overestimation (e.g., from inadequate control of confounders and improper comparison groups), and the net magnitude of competing biases undoubtedly varies from study to study. Small associations were found in the prospective population-based studies, with one exception. The most obvious methodologic problem in these studies would be likely to result in underestimation of the associations. The case-control studies, in contrast, showed large associations, but serious biases in these studies would probably cause overestimation. Small associations of marginal statistical significance were reported from cross-sectional analyses; findings were limited by sample size. Although each individual study to date could be (and has been ) "dismissed" due to weaknesses, collectively they provide evidence that we cannot dismiss the hypothesis that SDB causes CVD. In many cases, the weak associations can be explained by problems that likely cause underestimation. In fact, finding any association with the limitations of most of the past studies is remarkable. Perhaps most important, the findings to date, in conjunction with biologically plausible mechanisms have sparked the interest needed to initiate the large undertaking of a population-based prospective study. The Sleep Heart Health Study (SHHS)15 is a large multicenter prospective study specifically designed to investigate the role of SDB in incident coronary heart disease, stroke, increased blood pressure, and allcause-mortality. A key feature of the study is that home polysomnography studies are performed on a sample of 6600 men and women, 40 years of age and older, drawn from the samples of other longitudinal studies. The new data collected by SHHS can then be linked to the large amount of data on cardiovascular risk factors available from the "parent" studies. All baseline polysomnography studies have now been completed. Cross-sectional analyses of SDB and CVD history are now being analyzed, and collection of outcome data for longitudinal analyses is underway. Results from SHHS and other studies in the near future should greatly increase our ability to assess the association of SDB and CVD.

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Mesh:

Year:  2000        PMID: 10893084

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  41 in total

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Authors:  D S Silverberg; A Oksenberg
Journal:  Curr Hypertens Rep       Date:  2001-06       Impact factor: 5.369

2.  Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions.

Authors:  Timothy I Morgenthaler; Janet B Croft; Leslie C Dort; Lauren D Loeding; Janet M Mullington; Sherene M Thomas
Journal:  J Clin Sleep Med       Date:  2015-09-15       Impact factor: 4.062

3.  High Prevalence of Obstructive Sleep Apnea in Patients with Moderate to Severe Chronic Obstructive Pulmonary Disease.

Authors:  Xavier Soler; Eduardo Gaio; Frank L Powell; Joe W Ramsdell; Jose S Loredo; Atul Malhotra; Andrew L Ries
Journal:  Ann Am Thorac Soc       Date:  2015-08

Review 4.  Sleep.7: positive airway pressure therapy for obstructive sleep apnoea/hypopnoea syndrome.

Authors:  P Gordon; M H Sanders
Journal:  Thorax       Date:  2005-01       Impact factor: 9.139

5.  Cardiovascular risk markers in obstructive sleep apnoea syndrome and correlation with obesity.

Authors:  Silke Ryan; Geraldine M Nolan; Evelyn Hannigan; Sean Cunningham; Cormac Taylor; Walter T McNicholas
Journal:  Thorax       Date:  2007-01-24       Impact factor: 9.139

6.  Clinical patterns of obstructive sleep apnea and its comorbid conditions: a data mining approach.

Authors:  Qi Rong Huang; Zhenxing Qin; Shichao Zhang; Chin Moi Chow
Journal:  J Clin Sleep Med       Date:  2008-12-15       Impact factor: 4.062

7.  Development of a pregnancy-specific screening tool for sleep apnea.

Authors:  Francesca L Facco; David W Ouyang; Phyllis C Zee; William A Grobman
Journal:  J Clin Sleep Med       Date:  2012-08-15       Impact factor: 4.062

8.  Medicare long-term CPAP coverage policy: a cost-utility analysis.

Authors:  Martha E Billings; Vishesh K Kapur
Journal:  J Clin Sleep Med       Date:  2013-10-15       Impact factor: 4.062

9.  Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women.

Authors:  Kristine Yaffe; Alison M Laffan; Stephanie Litwack Harrison; Susan Redline; Adam P Spira; Kristine E Ensrud; Sonia Ancoli-Israel; Katie L Stone
Journal:  JAMA       Date:  2011-08-10       Impact factor: 56.272

10.  Sleep and diabetes.

Authors:  Swetha Bopparaju; Salim Surani
Journal:  Int J Endocrinol       Date:  2010-03-09       Impact factor: 3.257

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