| Title |
Obstructive sleep apnea linked to wake-up strokes
|
|---|---|
| Published in |
Journal of Neurology, January 2012
|
| DOI | 10.1007/s00415-011-6370-9 |
| Pubmed ID | |
| Authors |
Sun-Wung Hsieh, Chiou-Lian Lai, Ching-Kuan Liu, Cheng-Fang Hsieh, Chung-Yao Hsu |
| Abstract |
Obstructive sleep apnea (OSA) has been considered as one of the risk factors for ischemic stroke, but the impact of OSA on wake-up stroke (WUS) is not well studied. We aimed to determine the relationship between OSA and WUS. We prospectively recruited 71 patients with mild to moderate ischemic stroke during hospitalization. Patients were classified into WUS and non-WUS. A full-night sleep respiratory study was performed between 3 and 14 days after stroke onset. Demographic data, sleep respiratory data, heart rate variability, stroke risk factors, stroke classification and sleep-related scales were recorded. We compared the differences in the variables between the two groups and determined the independent variables associated with WUS. Of the 71 patients, 26 (36.6%) had WUS. The patients with WUS had a significantly higher apnea-hypopnea index (23.1 ± 19.4 vs. 12.5 ± 11.9, p = 0.016), obstructive apnea index (7.8 ± 9.7 vs. 3.0 ± 4.0, p = 0.021) and lower mean blood oxygen saturation (95.1 ± 1.5 vs. 95.8 ± 1.3, p = 0.046) than the non-WUS patients. There were no significant differences in demographic data, stroke risk factors, sleep-related scales or heart rate variability. Logistic regression revealed that severe sleep-disordered breathing (apnea-hypopnea index ≥30) was the only independent variable associated with WUS (OR 6.065, 95% CI 1.451-25.350; p = 0.014). We conclude that in patients with mild to moderate ischemic stroke, OSA is the only risk factor associated with WUS, which cannot be distinguished clinically from non-WUS. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 9 | 13% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Postgraduate | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 5 | 7% |
| Other | 15 | 22% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 35% |
| Neuroscience | 10 | 15% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 19 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2012.
All research outputs
#15,241,259
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Outputs from Journal of Neurology
#3,201
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#163,169
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Outputs of similar age from Journal of Neurology
#30
of 44 outputs
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