Skip to main content
HHS Author Manuscripts logoLink to HHS Author Manuscripts
. Author manuscript; available in PMC: 2017 Jul 24.
Published in final edited form as: J Neurol. 2013 Nov 30;261(2):343–349. doi: 10.1007/s00415-013-7200-z

Association of sleep apnea with clinically silent microvascular brain tissue changes in acute cerebral ischemia

Jessica Kepplinger 1,, Kristian Barlinn 2, Amelia K Boehme 3, Johannes Gerber 4, Volker Puetz 5, Lars-Peder Pallesen 6, Wiebke Schrempf 7, Imanuel Dzialowski 8, Karen C Albright 9, Andrei V Alexandrov 10, Heinz Reichmann 11, Ruediger von Kummer 12, Ulf Bodechtel 13
PMCID: PMC5523685  NIHMSID: NIHMS880824  PMID: 24292644

Abstract

The aim of this study was to determine the importance of sleep apnea in relation to clinically silent microvascular brain tissue changes in patients with acute cerebral ischemia. Patients with acute cerebral ischemia prospectively underwent nocturnal respiratory polygraphy within 5 days from symptom-onset. Sleep apnea was defined as apnea-hypopnea-index (AHI) ≥5/h. Experienced readers blinded to clinical and sleep-related data reviewed brain computed tomography and magnetic resonance imaging scans for leukoaraiosis and chronic lacunar infarctions. Ischemic lesions were considered clinically silent when patients did not recall associated stroke-like symptoms. Functional outcome was assessed with modified Rankin Scale at discharge, 6 and 12 months. Fifty-one of 56 (91 %) patients had sleep apnea of any degree. Patients with moderate-to-severe leukoaraiosis (Wahlund score ≥5) were found to have higher mean AHI than those with none or mild leukoaraiosis (34.4 vs. 12.8/h, p < 0.001). Moderate-to-severe sleep apnea (AHI >15/h) was found to be an independent predictor of moderate-to-severe leukoaraiosis (adjusted OR 6.03, 95 % CI 1.76-20.6, p = 0.0042) and of moderate-to-severe leukoaraiosis associated with clinically silent chronic lacunar infarctions (adjusted OR 10.5, 95 % CI 2.19-50.6, p = 0.003). The higher the Wahlund score and the AHI, the more likely unfavorable functional outcome resulted over time (p = 0.0373). In acute cerebral ischemia, sleep apnea is associated with clinically silent microvascular brain tissue changes and may negatively influence functional outcome. Routine sleep apnea screening and further investigation of possible long-term effects of non-invasive ventilatory treatment of sleep apnea appear warranted in this at-risk population.

Keywords: Acute stroke, Silent brain infarction, Sleep apnea, Leukoaraiosis

Introduction

Chronic microvascular brain tissue changes, comprising leukoaraiosis and lacunar infarctions, become more evident with improved resolution of brain imaging modalities thereby increasing their prevalence in the healthy elderly population [1, 2]. Their causal association with behavioural, neuropsychological and gait dysfunction as well as long-term care dependency has been known for years [2-4]. In patients with acute cerebral ischemia, magnetic resonance imaging (MRI)-based investigations revealed a much higher frequency of chronic microvascular brain tissue changes affecting almost two in three patients, establishing such frequently clinically silent lesions as a risk factor for clinically apparent strokes [46]. Moreover, their prognostic relevance with regard to unfavorable functional outcome and increased recurrent stroke risk after a first-ever stroke has been well recognized [58].

Traditional modifiable vascular risk factors like arterial hypertension and diabetes mellitus are known to contribute decisively to the development of chronic microvascular brain tissue changes [2, 9]. However, acute stroke patients differ from the general population due to an accented vascular risk profile including untraditional risk factors like sleep apnea that itself has been associated with silent ischemic brain lesions in the general population [1013]. Enhanced susceptibility of the deep white matter to hypoxic injury and hemodynamic alterations as a result of repetitive apneic episodes might be a potential pathophysiological link [1416], yet it still remains a matter of debate whether the deleterious effects of sleep apnea are independent of other vascular comorbidities often existing in acute stroke patients. We sought to explore the relationship between sleep apnea and clinically silent chronic microvascular brain tissue changes in patients with acute cerebral ischemia.

Methods

Study population

This was a substudy of a prospective observational study on sleep apnea screening in consecutively enrolled patients (18–75 years old) with acute cerebral ischemia and tran­sient ischemic attack (TIA) [17]. Exclusion criteria of the initial study included unfavorable premorbid functional condition defined by modified Rankin Scale (mRS) score > 3 points, known sleep apnea and clinically pre-diagnosed dementia. Enrollment period ranged from November 2009 to May 2011. The local institutional review board approved this study. Written informed consent was obtained from each patient prior to any study related procedures.

Evaluation of vascular risk factors and clinical assessment

Anthropometric data including weight and height were self-reported by each patient and body mass index (BMI) was calculated. Patients were diagnosed as having arterial hypertension, if they had systolic ≥140 mmHg or diastolic blood pressure ≥90 mmHg during hospitalization or any antihypertensive medication before. Diabetes mellitus was defined by fasting serum glucose ≥7.0 mmol/l or serum glucose ≥ 11.1 mmol/l at 2 h following an oral glucose tolerance test, or prior use of antidiabetic therapy (oral or insulin). Hypercholesterolemia was defined as LDL cholesterol ≥2.6 mmol/l or total cholesterol ≥5.2 mmol/l, or prior use of lipid-lowering medication. Smoking status was defined as current use. Atrial fibrillation was based on at least one positive electrocardiogram before or during hos­pitalization. Coronary artery disease was based on self-reporting. We assessed National Institutes of Health Stroke Scale (NIHSS) scores at baseline and classified stroke etiology using the Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria [18].

We followed patients prospectively for a period of 12 months with assessments of mRS at discharge, 6 and 12 months. Favorable functional outcome was defined as mRS 0-1. Recurrent cerebral ischemic events including TIA and acute ischemic stroke were assessed at 6 and 12 months.

Assessment of sleep apnea

All patients underwent nocturnal 6-channel portable respiratory polygraphy (SOMNOcheck effort®, Weinmann Medical Technology, Hamburg, Germany) within 3 ± 2 days from symptom-onset [17]. Each sleep polygram was analyzed manually according to the American Academy of Sleep guideline [19] by a sleep neurologist blinded to clinical and imaging data. The apnea-hypopnea-index (AHI) was calculated using the total number of respiratory events (apneas and hypopneas) per hour sleep, and categorized in any (AHI ≥5/h), mild (AHI 5–14/h), moderate (AHI 15–29/h) and severe (AHI ≥30/h) sleep apnea as previously reported [20]. Daytime sleepiness was assessed by Epworth Sleepiness Scale (ESS).

Imaging

Non-contrast computed tomography (CT) or multimodal MRI including fluid-attenuated inversion recovery (FLAIR) and diffusion weighted imaging (DWI) sequences were acquired shortly after admission as part of our institutional standard imaging protocol for acute stroke. Within 48 h from admission, either a repeat non-contrast CT or multimodal MRI scan was performed as part of routine diagnostic stroke work-up. The CT studies were acquired on a Somatom Sensation 64-slice scanner (Siemens Healthcare, Erlangen, Germany) and the MRI studies on a Siemens Sonata or Avanto 1.5 T scanner (Siemens Healthcare, Erlangen, Germany).

Two experienced investigators (J.G., V.P.) who met for consensus in case of disagreement reviewed all brain scans independently of any results of the clinical and sleep-related data. CT images were only favored when MRI was not obtained. Leukoaraiosis was assessed using the Wahl und score as previously described [21]. Briefly, leukoaraiosis was classified as ill-defined hypodensities ≥5 mm in diameter on non-contrast axial CT and ill-defined hyper-intensities ≥5 mm in diameter on axial T2-weighted or FLAIR MRI sequences, respectively (Fig. 1). Five different regions (frontal, parieto-occipital, temporal, basal ganglia, infratentorial) were scored with 0–3 points on both sides of the brain and the sum of all points added up to the final score. The extent of leukoaraiosis was stratified as no or mild (0–4), moderate (5–10) and severe (>10) leukoaraiosis [7].

Fig. 1.

Fig. 1

T2-weighted MRI scans depicting various grades of chronic microvascular brain tissue changes. No microvascular changes in a 45-year-old patient with an AHI of 3/h (a) Mild leukoaraiosis (Wahlund score of 3 points; arrowheads) in a 73-year-old patient with an AHI of 17/h (b); severe leukoaraiosis (Wahlund score of 22 points; arrowheads) and a small right-sided subcortical lacunar chronic infarction (arrow) in a 70-year-old patient with an AHI of 36/h (c)

In addition, all brain images were reviewed for chronic lacunar infarctions in any subcortical region of the penetrating arteries. On CT, any clear hypodensity <15 mm in diameter was considered a lacune. On MRI, lacunar infarction was defined as well-defined focal T2-weighted hyperintensity <15 mm in diameter that was clearly differentiated from acute DWI lesions. Chronic microvascular brain tissue changes were considered clinically silent when patients did not recall corresponding stroke-like symptoms.

Statistical analysis

Continuous and non-continuous variables are presented as mean ± standard deviation (SD), median (range) and percentages. Statistical comparisons were performed using Chi square test, Fisher's exact test, Student's t test and Wilcoxon rank sum, where appropriate. Pearson correlation coefficient was used to examine correlations between the AHI and leukoaraiosis. Univariate and multivariable analysis were conducted to evaluate the relationship between sleep apnea and clinically silent microvascular brain tissue changes controlling for age, gender and vascular risk factors. Crude and adjusted generalized estimating equations with a negative binomial distribution were used to evaluate functional outcomes over time with adjusted models controlling for age, baseline NIHSS and thrombolysis. Missing mRS outcome data were replaced by using the last-observation-carried-forward method. A p value of <0.05 was considered to be statistically significant.

Results

We identified 56 patients who had complete and analyzable sleep polygrams among 61 patients with acute cerebral ischemia included in our previous study on sleep apnea screening [17]. Mean age was 64 ± 8 years, 46 % were men, 18 % had a TIA, median baseline NIHSS score was 1 (range 0–15) point, median ESS was 5 (0–13) points, mean AHI was 23.6 ± 19.3/h (median 20/h, range 0–79/h). Fifty-one of 56 (91 %) patients were found to have sleep apnea of any degree with obstructive the most common subtype (86 %), followed by mixed (10 %) and central (4 %) forms. With regards to TOAST [19], large-artery atherosclerosis (61 %) appeared to be the most frequent subtype for acute cerebral ischemia, followed by cardio embolism (18 %), small-vessel disease (12 %) and other cause (9 %). Baseline characteristics of the patients in this study are presented in Table 1.

Table 1. Baseline characteristics of the study population (n = 56).

Variable Summary data
Gender, male, n (%) 26 (46)
Age, mean ± SD (years) 64.3 ± 7.8
Vascular risk factors, n (%)
 Arterial hypertension 49 (88)
 Diabetes mellitus 18 (32)
 Hypercholesterolemia 33 (59)
 Atrial fibrillation 8 (14)
 Tobacco use 12 (21)
 Coronary artery disease 4 (7)
Clinical data
 Acute ischemic stroke, n (%) 46 (82)
 TIA, n (%) 10 (18)
 IV thrombolysis, n (%) 11 (20)
 NIHSS, median (range) 1 (0–15)
 BMI, median (range) 27 (17–41)
 ESS, median (range) 5 (0–13)
 AHI, mean ± SD 23.6 ± 19.3
 Sleep apnea, n (%) 51 (91)
 Mild 18 (32)
 Moderate 17 (30)
 Severe 16 (29)

Brain MRI scans were available in 42/56 (75 %), non-contrast CT scans were used in the remaining patients. Overall, 45/56 (80 %) patients were found to have leukoaraiosis of any degree (Wahlund score ≥1; mean 5.8 ± 5.7 points) with 17/56 (30 %) being moderate and 11/56 (20 %) severe. None of the patients with moderate-to-severe leukoaraiosis reported a history of stroke-like symptoms before the index stroke. Patients with moderate-to-severe leukoaraiosis (28/56, 50 %) were significantly older than those who had none or mild leukoaraiosis (67 ± 7 vs. 62 ± 8 years, p = 0.027). Chronic lacunar infarctions were present in 29/56 (52 %) patients, of which 28/56 (50 %) lacked clinically overt stroke-like symptoms. Of these, seven patients were found to have isolated clinically silent lacunar infarctions and 21 patients both moderate-to-severe leukoaraiosis and clinically silent lacunar infarctions. No significant differences in acute stroke TOAST subtypes were found between patients with no/mild and moderate/severe leukoaraiosis (±silent lacunar infarctions; p = 0.076/0.266). Patients with moderate-to-severe leukoaraiosis were found to have higher mean AHI than those with no or mild leukoaraiosis (34.4 vs. 12.8/h, p <0.001). Accordingly, severe sleep apnea was more frequently diagnosed in these patients (50 vs. 7 %, p <0.001). Further summary data are detailed in Table 2. The AHI and the extent of leukoaraiosis as indicated by the Wahlund score correlated moderately (r = 0.4958, p = 0.0001) even after adjustment for age and arterial hypertension (r = 0.4470, p = 0.007). Using logistic regression with adjustments for age, arterial hypertension, and diabetes mellitus, AHI emerged as an independent predictor of moderate-to-severe leukoaraiosis (adjusted OR 1.06, 95 % CI 1.02–1.10, p = 0.0009). Similarly, moderate-to-severe sleep apnea (AHI ≥15/h) strongly predicted moderate-to-severe leukoaraiosis (adjusted OR 6.03, 95 % CI 1.76–20.6, p = 0.0042). With regard to clinically silent lacunar infarctions, neither the AHI nor moderate-to-severe sleep apnea appeared to be independent predictors (adjusted OR 1.03, 95 % CI 0.99–1.07, p = 0.132 and adjusted OR 2.7, 95 % CI 0.77–9.50, p = 0.121, respectively). However, when combining moderate-to-severe leukoaraiosis and clinically silent chronic lacunar infarctions, both the AHI and moderate-to-severe sleep apnea remained strong independent predictors (adjusted OR 1.12, 95 % CI 1.05–1.2, p = 0.001 and adjusted OR 10.5, 95 % CI 2.19–50.6, p = 0.003, respectively).

Table 2. Baseline characteristics according to extent of chronic microvascular brain tissue changes.

Variable No/mild leukoaraiosis (n = 28) Moderate/severe leukoaraiosis

(n = 28) + clinically silentchronic lacunarinfarcts (n = 21)
Gender, male, n (%) 12 (43) 14 (50) 12 (57)
Age, mean ± SD (years) 62.1 ± 7.7 66.6 ± 7.3* 65.4 ± 8
Vascular risk factors, n (%)
 Arterial hypertension 23 (82) 26 (93) 19 (90)
 Diabetes mellitus 7 (25) 11 (39) 7 (33)
 Hypercholesterolemia 18 (64) 15 (54) 12 (57)
 Atrial fibrillation 3 (11) 5 (18) 2 (10)
 Tobacco use 4 (14) 8 (29) 7 (33)
 Coronary artery disease 0 4 (14) 4 (19)*
Clinical data
 Acute ischemic stroke, n (%) 20(71) 26 (93) 19 (90)
 TIA, n (%) 8 (29) 2 (7) 2 (9)
 IV thrombolysis, n (%) 6 (21) 3 (11) 31 (49)
 NIHSS, median (range) 1 (0–15) 2 (0–7) 2 (0–7)
 BMI, median (range) 26 (20–32) 27 (17–41) 26 (17–41)
 ESS, median (range) 5 (0–11) 6 (0–13) 6 (3–13)
 AHI, mean ± SD 12.8 ± 10.5 34.4 ± 19.8* 32.7 ± 18.5*
Sleep apnea, n (%) 23 (82) 28 (100)* 21 (100)*
Mild 13 (46) 5 (18)* 3 (14)*
Moderate 8 (29) 9 (32) 9 (43)
Severe 2 (7) 14 (50)* 9 (43)*

Comparisons were made between no/mild and moderate/severe leukoaraiosis groups TIA transient ischemic attack, NIHSS National Institutes of Health Stroke Scale, BMI body mass index, ESS Epworth sleepiness scale, AHI apnea-hypopnea index, mRS modified Rankin scale

*

Indicates p value< 0.05

Using generalized estimating equations with a negative binomial distribution with AHI and mRS in their continuous form, AHI was highly associated with mRS over time (p = 0.0018). The Wahlund score was also highly associated with mRS over time (p = 0.0011). The higher the Wahlund score and the AHI, the more likely unfavorable functional outcome was achieved over time (p = 0.0373). Outcome data are summarized in Table 3.

Table 3. Summary measures of clinical outcome along with 95 % confidence intervals.

Variable No/mild leukoaraiosis (n = 28) Moderate/severe leukoaraiosis

(n = 28) + clinically silent chronic lacunar infarcts (n = 21)
Favorable outcome: 6 months, n (%, 95 % CI) 22 (79, 63–94) 16 (57, 38–76) 12 (57, 35–79)
Favorable outcome: 12 months, n (%, 95 % CI) 22 (79, 63–94) 19 (67, 50–86) 14 (67, 45–88)
mRS: d/c, median (range) 1 (0–5) 2 (0–4) 2 (0–4)
mRS: 6 months, median (range) 0.5 (0–5) 1 (0–6)* 1 (0–6)*
mRS: 12 months, median (range) 1 (0–5) 1 (0–6) 1 (0–6)
Ischemic event: 6 months, n (%) 0 1 (4) 1 (5)
Ischemic event: 12 months, n (%) 0 2 (7) 2 (10)
Death: 12 months, n (%) 0 1 (4) 1 (5)

Comparisons were made between no/mild and moderate/severe leukoaraiosis groups mRS modified Rankin scale, d/c discharge

*

Indicates p value <0.05

Discussion

Our study showed that among patients with acute cerebral ischemia, sleep apnea appeared to be independently associated with leukoaraiosis, with the strongest association observed in those with higher degrees of both diseases. We found a risk factor association for clinically silent lacunar infarctions with moderate-to-severe sleep apnea only when combined with advanced leukoaraiosis.

Stroke clinicians have recognized sleep apnea as an independent risk factor for clinically apparent ischemic strokes [2224]. It is unclear, however, whether sleep apnea contributes to the development of chronic microvascular brain tissue changes. While some investigations found no relevant association between sleep apnea and small vessel disease [2527], our data confirm a recent cross-sectional investigation that found moderate-to-severe obstructive sleep apnea associated with a moderate degree of leukoaraiosis and silent lacunar infarctions in about 50 % of non-stroke patients [10]. Similarly, recent findings indicated that moderate-to-severe obstructive sleep apnea is an independent risk factor for leukoaraiosis in the general population [28]. Moreover, a substudy of the Sleep Heart Health Study revealed a higher portion and degree of confirmed central sleep disordered breathing patterns in patients who had progression of leukoaraiosis as compared with those who had no progression [11].

These findings originate solely from non-stroke populations, which underscores the clinical relevance of our findings indicating that such associations also extend to patients with acute cerebral ischemia. To our knowledge, only one study explored associations between sleep apnea and chronic microvascular brain tissue changes in a sample of acute stroke patients and found that higher degrees of sleep apnea were associated with increased leukoaraiosis [29]. However, it remains unclear whether these ischemic brain lesions had a history of clinically overt stroke-like symptoms. We have shown that moderate-to-severe sleep apnea increased the likelihood for having a coexistence of both an advanced degree of leukoaraiosis and clinically silent chronic lacunar infarctions. This favors the earlier hypothesis that two different pathogenic mechanisms may account for lacunar infarctions: isolated lacunar infarctions may be linked to focal atherosclerotic steno-occlusive lesions at the origin of the penetrating arteries, whereas those with coexisting leukoaraiois may represent the end of a spectrum of a distinct diffuse small vessel disease (i.e. lipohyalinosis) [30, 31]. With our results, we may speculate that sleep apnea predominantly contributes to the latter pathology and promotes the development of lacunar infarctions that are conjugated with leukoaraiosis.

Nonetheless, our study design does not allow causal inferences about the role of sleep apnea as possible independent risk factor for chronic microvascular tissue changes.

Following stroke, untreated sleep apnea negatively affects short-term and long-term outcomes [3235]. Thus, the cumulative risk of achieving an unfavorable functional outcome may grow notably in stroke patients who have both sleep apnea and chronic microvascular brain tissue changes as stroke patients with leukoaraiosis and chronic lacunar infarctions have worse functional outcomes themselves [6, 8]. Moreover, as chronic microvascular brain tissue changes have been proven nearly to triple the risk for a first-ever stroke in the general population [4], recent studies revealed that such lesions also increase the risk for a recurrent ischemic stroke independently by two- to sevenfold in cohorts of first-ever acute ischemic stroke patients [5, 6]. We found that both the degree of sleep apnea (as indicated by the AHI) and the extent of leukoaraiosis had an unfavorable impact on functional outcome emphasizing the importance of broad vascular risk factor screening as part of routine stroke work-up in this patient population. The challenge with sleep apnea identification in the acute setting of ischemic stroke has been a lack of clinical patient selection criteria for performing specific sleep studies [17, 3537]. Chronic microvascular brain tissue changes could indirectly unmask stroke patients with a long-lasting history of sleep apnea requiring focused attention and define an at-risk population that could be tested in an acute or secondary prevention clinical trial for treatment of sleep apnea [38].

Our study has certain limitations. First, this was a sub-study of a prospective study of sleep apnea in acute cerebral ischemia patients that had different primary objectives than our exploratory analysis. Consequently, very few patients had major strokes as these were considered not amenable to early sleep apnea screening in the primary study and, therefore, sampling bias is likely. The collection of both TIA and acute stroke patients may have added another bias to our results. However, larger observational studies suggest that sleep apnea precedes acute stroke events (establishing it as a risk factor as opposed to a clinical manifestation of acute brain damage) and only a minority of patients experience relevant improvement of their sleep pattern over time [22, 23, 35]. Second, patients with gait and urinary incontinence were not excluded diminishing the validity whether the radiological classified chronic microvascular brain tissue changes were ultimately “silent”. However, we excluded patients with a history suggestive of cognitive decline or known dementia, which is known to be a major clinical manifestation of leukoaraiosis and chronic lacunar infarcts [2, 39]. Also, the “silence” of chronic microvascular brain tissue changes may be due to various reasons: lesions in non-eloquent brain areas like the frontal lobes, small lesions causing minor symptoms not recognized as stroke symptoms, the sensitivity and memory of the patient. Particularly the latter reason may have introduced a recall bias [40]. Third, as we reviewed both hemispheres (including the affected side) on brain imaging, acute ischemic lesions may have obscured chronic microvascular brain tissue changes potentially resulting in an underestimation of the extent of these lesions. Also, we used two different imaging methods to assess chronic microvascular brain tissue changes; however, with regard to leukoaraiosis the Wahlund score is valid and equally sensitive in both techniques [21] and chronic lacunar infarctions can be well detected in both modalities [1]. Fourth, outside this study, some patients were prescribed to non-invasive ventilatory treatment after discharge (a total of seven patients at 12 months) and this may have confounded our reported associations on outcomes. Lastly, our results are limited by a relatively small number of patients studied.

In conclusion, sleep apnea is associated with clinically silent chronic microvascular brain tissue changes in patients with acute cerebral ischemia and may negatively influence functional outcome. Sleep apnea screening and the evaluation of possible long-term effects of non-invasive ventilatory treatment appear warranted in this at-risk population.

Acknowledgments

Weinmann Medical Technology, Hamburg, Germany provided the SOMNOCheck effort device free of charge for this study.

Footnotes

Conflicts of interest: The authors declare that they have no conflict of interest

Contributor Information

Jessica Kepplinger, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.

Kristian Barlinn, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; Comprehensive Stroke Center, University of Alabama Hospital, Birmingham, AL, USA.

Amelia K. Boehme, Department of Epidemiology, School of Public Health, University of Alabama Hospital, Birmingham, AL, USA

Johannes Gerber, Division of Neuroradiology, Dresden University Stroke Center, University of Technology Dresden, Dresden, Germany.

Volker Puetz, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.

Lars-Peder Pallesen, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.

Wiebke Schrempf, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.

Imanuel Dzialowski, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; Elblandklinikum Meissen, Department of Neurology, Academic Teaching Hospital, University of Technology Dresden, Meissen, Dresden, Germany.

Karen C. Albright, Comprehensive Stroke Center, University of Alabama Hospital, Birmingham, AL, USA; Department of Epidemiology, School of Public Health, University of Alabama Hospital, Birmingham, AL, USA

Andrei V. Alexandrov, Comprehensive Stroke Center, University of Alabama Hospital, Birmingham, AL, USA

Heinz Reichmann, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.

Ruediger von Kummer, Division of Neuroradiology, Dresden University Stroke Center, University of Technology Dresden, Dresden, Germany.

Ulf Bodechtel, Department of Neurology, Dresden University Stroke Center, University of Technology Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.

References

  • 1.Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010;9:689–701. doi: 10.1016/S1474-4422(10)70104-6. [DOI] [PubMed] [Google Scholar]
  • 2.LADIS Study Group. 2001–2011: a decade of the LADIS (Leukoaraiosis And DISability) Study: what have we learned about white matter changes and small-vessel disease? Cerebro vasc Dis. 2011;32:577–588. doi: 10.1159/000334498. [DOI] [PubMed] [Google Scholar]
  • 3.Steffens DC, Krishnan KRR, Crump C, Burke GL. Cerebrovascular disease and evolution of depression symptoms in the Cardiovascular Health Study. Stroke. 2002;33:1636–1644. doi: 10.1161/01.str.0000018405.59799.d5. [DOI] [PubMed] [Google Scholar]
  • 4.Vermeer SE, Hollander M, van Dijk EJ, Hofman A, Koudstaal PJ, Breteler MM. Silent brain infarcts and white matter lesions increase stroke risk in the general population: the Rotterdam Scan Study. Stroke. 2003;34:1126–1129. doi: 10.1161/01.STR.0000068408.82115.D2. [DOI] [PubMed] [Google Scholar]
  • 5.Gioia LC, Tollard E, Dubuc V, et al. Silent ischemic lesions in young adults with first stroke are associated with recurrent stroke. Neurology. 2012;79:1208–1214. doi: 10.1212/WNL.0b013e31826aacac. [DOI] [PubMed] [Google Scholar]
  • 6.Putaala J, Haapaniemi E, Kurkinen M, Salonen O, Kaste M, Tatlisumak T. Silent brain infarcts, leukoaraiosis, and long-term prognosis in young ischemic stroke patients. Neurology. 2011;76:1742–1749. doi: 10.1212/WNL.0b013e31821a44ad. [DOI] [PubMed] [Google Scholar]
  • 7.Leonards CO, Ipsen N, Malzahn U, Fiebach JB, Endres M, Ebinger M. White matter lesion severity in mild acute ischemic stroke patients and functional outcome after 1 year. Stroke. 2012;43:3046–3051. doi: 10.1161/STROKEAHA.111.646554. [DOI] [PubMed] [Google Scholar]
  • 8.de Jong G, Kessels F, Lodder J. Two types of lacunar infarcts: further arguments from a study on prognosis. Stroke. 2002;33:2072–2076. doi: 10.1161/01.str.0000022807.06923.a3. [DOI] [PubMed] [Google Scholar]
  • 9.Basile AM, Pantoni L, Pracucci G, et al. Age, hypertension, and lacunar stroke are the major determinants of the severity of age-related white matter changes. The LADIS (Leukoaraiosis and Disability in the Elderly) Study. Cerebrovasc Dis. 2006;21:315–322. doi: 10.1159/000091536. [DOI] [PubMed] [Google Scholar]
  • 10.Nishibayashi M, Miyamoto M, Miyamoto T, Suzuki K, Hirata K. Correlation between severity of obstructive sleep apnea and prevalence of silent cerebrovascular lesions. J Clin Sleep Med. 2008;4:242–247. [PMC free article] [PubMed] [Google Scholar]
  • 11.Robbins J, Redline S, Ervin A, Walsleben JA, Ding J, Nieto FJ. Associations of sleep-disordered breathing and cerebral changes on MRI. J Clin Sleep Med. 2005;1:159–165. [PubMed] [Google Scholar]
  • 12.Eguchi K, Kario K, Hoshide S, Ishikawa J, Morinari M, Shimada K. Nocturnal hypoxia is associated with silent cerebrovascular disease in a high-risk Japanese community-dwelling population. Am J Hypertens. 2005;18:1489–1495. doi: 10.1016/j.amjhyper.2005.05.032. [DOI] [PubMed] [Google Scholar]
  • 13.Cho ER, Kim H, Seo HS, Suh S, Lee SK, Shin C. Obstructive sleep apnoea as a risk factor for silent cerebral infarction. J Sleep Res. 2013;22:452–458. doi: 10.1111/jsr.12034. [DOI] [PubMed] [Google Scholar]
  • 14.Shamsuzzaman AS, Gersh BJ, Somers VK. Obstructive sleep apnea: implications for cardiac and vascular disease. JAMA. 2003;290:1906–1914. doi: 10.1001/jama.290.14.1906. [DOI] [PubMed] [Google Scholar]
  • 15.Hatazawa J, Shimosegawa E, Satoh T, Toyoshima H, Okudera T. Subcortical hypoperfusion associated with asymptomatic white matter lesions on magnetic resonance imaging. Stroke. 1997;28:1944–1947. doi: 10.1161/01.str.28.10.1944. [DOI] [PubMed] [Google Scholar]
  • 16.Macey PM, Kumar R, Woo MA, Valladares EM, Yan-Go FL, Harper RM. Brain structural changes in obstructive sleep apnea. Sleep. 2008;31:967–977. [PMC free article] [PubMed] [Google Scholar]
  • 17.Kepplinger J, Barlinn K, Albright KC, et al. Early sleep apnea screening on a stroke unit is feasible in patients with acute cerebral ischemia. J Neurol. 2013;260:1343–1350. doi: 10.1007/s00415-012-6803-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Adams H, Bendixen B, Kappelle L, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multi-center clinical trial. Toast. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24:35–41. doi: 10.1161/01.str.24.1.35. [DOI] [PubMed] [Google Scholar]
  • 19.Iber C, Ancoli-Israel S, Chesson A, Quan SF for the American Academy of Sleep Medicine. The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications. 1st. Westchester, Illinois: American Academy of Sleep Medicine; 2007. [Google Scholar]
  • 20.Epstein LJ, Kristo D, Strollo PJ, Jr, et al. Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults. J Clin Sleep Med. 2009;5:263–276. [PMC free article] [PubMed] [Google Scholar]
  • 21.Wahlund LO, Barkhof F, Fazekas F, et al. European task force on age-related white matter changes. A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke. 2001;32:1318–1322. doi: 10.1161/01.str.32.6.1318. [DOI] [PubMed] [Google Scholar]
  • 22.Yaggi HK, Concato J, Kernan WN, Lichtman JH, Brass LM, Mohsenin V. Obstructive sleep apnea as a risk factor for stroke and death. N Engl J Med. 2005;353:2034–2041. doi: 10.1056/NEJMoa043104. [DOI] [PubMed] [Google Scholar]
  • 23.Arzt M, Young T, Finn L, Skatrud JB, Bradley TD. Association of sleep-disordered breathing and the occurrence of stroke. Am J Respir Crit Care Med. 2005;172:1447–1451. doi: 10.1164/rccm.200505-702OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Redline S, Yenokyan G, Gottlieb DJ, et al. Obstructive sleep apnea–hypopnea and incident stroke: the sleep heart health study. Am J Respir Crit Care Med. 2010;182:269–277. doi: 10.1164/rccm.200911-1746OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Davies CW, Crosby JH, Mullins RL, et al. Case control study of cerebrovascular damage defined by magnetic resonance imaging in patients with OSA and normal matched control sub­jects. Sleep. 2001;24:715–720. doi: 10.1093/sleep/24.6.715. [DOI] [PubMed] [Google Scholar]
  • 26.Kiernan TE, Capampangan DJ, Hickey MG, Pearce LA, Aguilar MI. Sleep apnea and white matter disease in hypertensive patients: a case series. Neurologist. 2011;17:289–291. doi: 10.1097/NRL.0b013e31821a25d6. [DOI] [PubMed] [Google Scholar]
  • 27.Schulz UG, Mason RH, Craig SE, et al. Leukoaraiosis on MRI in patients with minimally symptomatic obstructive sleep apnoea. Cerebrovasc Dis. 2013;35:363–369. doi: 10.1159/000348845. [DOI] [PubMed] [Google Scholar]
  • 28.Kim H, Yun CH, Thomas RJ, et al. Obstructive sleep apnea as a risk factor for cerebral white matter change in a middle-aged and older general population. Sleep. 2013;36:709–715. doi: 10.5665/sleep.2632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Harbison J, Gibson GJ, Birchall D, Zammit-Maempel I, Ford GA. White matter disease and sleep-disordered breathing after acute stroke. Neurology. 2003;61:959–963. doi: 10.1212/01.wnl.0000086818.57992.b8. [DOI] [PubMed] [Google Scholar]
  • 30.Kim DE, Choi MJ, Kim JT, et al. Two different clinical entities of small vessel occlusion in TOAST classification. Clin Neurol Neurosurg. 2013 doi: 10.1016/j.clineuro.2013.03.005. [DOI] [PubMed] [Google Scholar]
  • 31.Hassan A, Lansbury A, Catto AJ, et al. Angiotensin converting enzyme insertion/deletion genotype is associated with leukoaraiosis in lacunar syndromes. J Neurol Neurosurg Psychiatry. 2002;72:343–346. doi: 10.1136/jnnp.72.3.343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Iranzo A, Santamaria J, Berenguer J, Sa´nchez M, Chamorro A. Prevalence and clinical importance of sleep apnea in the first night after cerebral infarction. Neurology. 2002;58:911–916. doi: 10.1212/wnl.58.6.911. [DOI] [PubMed] [Google Scholar]
  • 33.Alexandrov AV, Nguyen HT, Rubiera M, et al. Prevalence and risk factors associated with reversed Robin Hood syndrome in acute ischemic stroke. Stroke. 2009;40:2738–2742. doi: 10.1161/STROKEAHA.109.547950. [DOI] [PubMed] [Google Scholar]
  • 34.Palazzo P, Balucani C, Barlinn K, et al. Association of reversed Robin Hood syndrome with risk of stroke recurrence. Neurology. 2010;75:2003–2008. doi: 10.1212/WNL.0b013e3181ffe4e4. [DOI] [PubMed] [Google Scholar]
  • 35.Hermann DM, Bassetti CL. Sleep-related breathing and sleep-wake disturbances in ischemic stroke. Neurology. 2009;73:1313–1322. doi: 10.1212/WNL.0b013e3181bd137c. [DOI] [PubMed] [Google Scholar]
  • 36.Tsivgoulis G, Zhang Y, Alexandrov AW, et al. Safety and tolerability of early noninvasive ventilatory correction using bilevel positive airway pressure in acute ischemic stroke. Stroke. 2011;42:1030–1034. doi: 10.1161/STROKEAHA.110.600221. [DOI] [PubMed] [Google Scholar]
  • 37.Srijithesh PR, Shukla G, Srivastav A, Goyal V, Singh S, Behari M. Validity of the Berlin Questionnaire in identifying obstructive sleep apnea syndrome when administered to the informants of stroke patients. J Clin Neurosci. 2001;18:340–343. doi: 10.1016/j.jocn.2010.04.048. [DOI] [PubMed] [Google Scholar]
  • 38.Kepplinger J, Barlinn K, Kolieskova S, et al. Reversal of the neurological deficit in acute stroke with the signal of efficacy trial of auto-BPAP to limit damage from suspected sleep apnea (reverse-STEAL): study protocol for a randomized controlled trial. Trials. 2013;14:252. doi: 10.1186/1745-6215-14-252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Edwards JD, Jacova C, Sepehry AA, Pratt B, Benavente OR. A quantitative systematic review of domain-specific cognitive impairment in lacunar stroke. Neurology. 2013;80:315–322. doi: 10.1212/WNL.0b013e31827deb85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Saini M, Ikram K, Hilal S, Qiu A, Venketasubramanian N, Chen C. Silent stroke: not listened to rather than silent. Stroke. 2012;43:3102–3104. doi: 10.1161/STROKEAHA.112.666461. [DOI] [PubMed] [Google Scholar]

RESOURCES