Objective: Although sleep apnea (SA) is a risk factor for ischemic stroke and an important prognostic factor in affected patients, the exact pathophysiological link between SA and stroke is unknown. We investigated whether the plasma concentration of biomarkers of inflammation and endothelial dysfunction, including soluble tumor necrosis factor receptor-1 and -2 (sTNF-R1 and sTNF-R2), tumor necrosis factor-β (TNF-β), soluble intercellular cell adhesion molecule-1 (sICAM-1) and soluble vascular cell adhesion molecule-1 (sVCAM-1) are increased in patients with acute stroke and SA compared with stroke patients without SA.
Design/methods: In total, 76 patients with ischemic stroke admitted to the stroke unit were included in this study. Plasma concentrations of biomarkers were determined after CT scans on admission. All patients received cardiorespiratory polygraphy within the first 72 h after admission. In all patients, demographic data, National Institutes of Health Stroke Scale scores and cerebrovascular risk factors were assessed.
Results: An apnea-hypopnea index (AHI) ≥10/h was found in 37 of our patients (48.7%). In these patients with SA, sTNF-R1 and sTNF-R2 levels were significantly higher than in patients with an AHI lower than 10/h. TNF-β, however, showed no significant difference between both groups, just like the soluble intercellular and vascular cell adhesion molecules sICAM-1 and sVCAM-1.
Conclusions/relevance: SA is associated with raised levels of sTNF-R1 and sTNF-R2 in patients with acute ischemic stroke. Taking into account the established impact of these two markers on the causation and course of cerebrovascular disease, these proteins may be part of the pathophysiological pathway linking SA to stroke.
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http://dx.doi.org/10.1159/000336120 | DOI Listing |
Neurol Int
November 2024
Department of Radiology, Section Neuroradiology, Lucerne Cantonal Hospital, 6000 Lucerne, Switzerland.
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November 2024
Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA.
Ischemic stroke is a major cause of mortality and disability and has become a significant public health concern among women. Overall, women have more ischemic stroke events than men, in part due to their longer life span, and also suffer from more severe stroke-related disabilities compared to men. Women are also more likely than men to present with atypical non-focal neurological symptoms, potentially leading to delayed diagnosis and treatment.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Deep learning has shown significant value in automating radiological diagnostics but can be limited by a lack of generalizability to external datasets. Leveraging the geometric principles of non-Euclidean space, certain geometric deep learning approaches may offer an alternative means of improving model generalizability. This study investigates the potential advantages of hyperbolic convolutional neural networks (HCNNs) over traditional convolutional neural networks (CNNs) in neuroimaging tasks.
View Article and Find Full Text PDFJ Imaging
November 2024
Research Laboratory: Networked Objects, Control and Communication Systems, NOCCS-ENISo, National Engineering School of Sousse, University of Sousse, Soussse 4023, Tunisia.
We propose a novel architecture, Transformer Dil-DenseUNet, designed to address the challenges of accurately segmenting stroke lesions in MRI images. Precise segmentation is essential for diagnosing and treating stroke patients, as it provides critical spatial insights into the affected brain regions and the extent of damage. Traditional manual segmentation is labor-intensive and error-prone, highlighting the need for automated solutions.
View Article and Find Full Text PDFJ Pers Med
December 2024
Santa Casa de São Paulo School of Medical Sciences, São Paulo 01224-001, Brazil.
: Studies suggest that the neutrophil/lymphocyte ratio (NLR) may be a prognostic marker for different diseases with inflammatory components. This study aimed to quantify the NLR in individuals affected by different subtypes and severities of ischemic stroke and associated it with risk factors and treatment, and compared the results with data from healthy individuals. : Clinical and laboratory data from medical records of patients over 18 years of age, victims of ischemic stroke, were collected.
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