Prevalence of sleep-disordered breathing after stroke and TIA
A meta-analysis
Abstract
Objective
To perform a systematic review and meta-analysis on the prevalence of sleep-disordered breathing (SDB) after stroke.
Methods
We searched PubMed, Embase (Ovid), the Cochrane Library, and CINAHL (from their commencements to April 7, 2017) for clinical studies reporting prevalence and/or severity of SDB after stroke or TIA. Only sleep apnea tests performed with full polysomnography and diagnostic devices of the American Academy of Sleep Medicine categories I–IV were included. We conducted random-effects meta-analysis. PROSPERO registration number: CRD42017072339.
Results
The initial search identified 5,211 publications. Eighty-nine studies (including 7,096 patients) met inclusion criteria. Fifty-four studies were performed in the acute phase after stroke (after less than 1 month), 23 studies in the subacute phase (after 1–3 months), and 12 studies in the chronic phase (after more than 3 months). Mean apnea-hypopnea index was 26.0/h (SD 21.7–31.2). Prevalence of SDB with apnea-hypopnea index greater than 5/h and greater than 30/h was found in 71% (95% confidence interval 66.6%–74.8%) and 30% (95% confidence interval 24.4%–35.5%) of patients, respectively. Severity and prevalence of SDB were similar in all examined phases after stroke, irrespective of the type of sleep apnea test performed. Heterogeneity between studies (I2) was mostly high.
Conclusion
The high prevalence of SDB after stroke and TIA, which persists over time, is important in light of recent studies reporting the (1) feasibility and (2) efficacy of SDB treatment in this clinical setting.
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Information & Authors
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© 2019 American Academy of Neurology.
Publication History
Received: March 9, 2018
Accepted: December 14, 2018
Published online: January 11, 2019
Published in print: February 12, 2019
Disclosure
The authors report no disclosures relevant to the manuscript. Go to Neurology.org/N for full disclosures.
Study Funding
Swiss National Science Foundation grants 320030-149752 and 320030-125069.
Authors
Author Contributions
A. Seiler: study concept and design, acquisition, analysis and interpretation of data, writing of the manuscript. M. Camilo: study concept and design, acquisition of data, revision of the manuscript. L. Korostovtseva: study concept and design, acquisition of data, revision of the manuscript. A.G. Haynes: statistical analysis, interpretation of data. A.-K. Brill: study concept and design, interpretation of data, revision of the manuscript. T. Horvath: study concept and design, interpretation of data, revision of the manuscript. M. Egger: study concept and design, interpretation of data, revision of the manuscript. C.L. Bassetti: study concept and design, analysis and interpretation of data, revision of the manuscript. All authors have seen and approved the final version.
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I read the interesting meta-analysis article by Seiler et al.1 I assessed the methodologic quality using the 16-item AMSTAR 2 appraisal tool.2 It scored 13 items out of 16 while losing points from items 9, 12, and 13 that are related to the issue of risk of bias (ROB). ROB was not assessed with an appropriate tool in this article;1 its results were not taken into account by appropriate analysis nor into the discussion when interpreting the results. The authors carried out an adequate investigation of publication bias and discussed its likely impact, but no adjusting method was applied (e.g., trim and fill).3
Seiler et al. also mentioned, "A limitation of our method is the statistical approach to a meta-analysis of average counts, which have been treated as if they were normally distributed rather than Poisson distributed. As this was caused by a lack of alternative approaches, we could not correct for this." Metaprop, a statistical program implemented to perform meta-analyses of proportions in Stata, could overcome this issue if applied.4
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For disclosures, please contact the editorial office at [email protected].