Clinical predictors of sleep apnoea in heart failure outpatients
Summary Background Sleep‐disordered breathing (SDB) is common in heart failure patients. Many of them still remain undiagnosed. The aim of this study was to detect clinical predictors of sleep apnoea which may help to identify patients with SDB at a heart failure clinic. Methods We performed an in‐h...
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Published in | International journal of clinical practice (Esher) Vol. 68; no. 6; pp. 725 - 730 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.06.2014
Hindawi Limited |
Subjects | |
Online Access | Get full text |
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Summary: | Summary
Background
Sleep‐disordered breathing (SDB) is common in heart failure patients. Many of them still remain undiagnosed. The aim of this study was to detect clinical predictors of sleep apnoea which may help to identify patients with SDB at a heart failure clinic.
Methods
We performed an in‐home sleep study on 115 consecutive patients from our heart failure clinic. Clinical characteristics, blood samples, daytime sleepiness and quality of life were registered.
Results
Among 115 patients, 52% had moderate to severe SDB. Body Mass Index (BMI) ≥ 30 kg/m² was the only independent predictor of moderate to severe SDB [Odds ratio (OR) = 3.62, 95% Confidence interval (CI) 1.40–9.36, p = 0.008]. Quality of life and level of sleepiness were not significantly associated with SDB. Patients with mild to moderate chronic obstructive pulmonary disease (COPD) were unlikely to have SDB compared with patients without COPD (OR = 0.10, 95% CI 0.02–0.43, p = 0.002).
Hypertension was a predictor of having obstructive sleep apnoea (OR = 2.78, 95% CI 1.15–6.75, p = 0.02), while haemoglobin ≥ 15 g/dl was associated with central sleep apnoea (OR = 6.71, 95% CI 1.96–22.99, p = 0.002).
Conclusion
BMI ≥ 30 kg/m2 is associated with moderate to severe SDB, both obstructive and central sleep apnoea. Thus, BMI may be used as one of the selection criteria for referral of heart failure patients to a sleep specialist. |
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Bibliography: | Research Council at Lovisenberg Diakonale Sykehus ark:/67375/WNG-TD8D6D8B-9 istex:EB2F6513FB9F458DCF4EE913448162D81B767602 ArticleID:IJCP12396 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1368-5031 1742-1241 |
DOI: | 10.1111/ijcp.12396 |