Background And Purpose: As a result of advances in surgical, anesthetic, and medical management, cardiac surgery can now be performed on older, sicker patients, some of whom have had prior cardiac interventions. As surgical mortality has declined in recent years, attention has focused on the complications of stroke and encephalopathy after cardiac surgery.
Summary Of Review: Patients with preexisting cerebrovascular disease are at increased risk for these untoward neurological outcomes, which are associated with longer lengths of hospital stay, higher costs, and greater mortality. The mechanisms underlying these neurological events may include microemboli and hypoperfusion during surgery, and postoperative atrial fibrillation. Predictive models, based on information available before surgery, allow identification of these "high risk" patients.
Conclusions: Establishing the degree of functionally significant vascular disease of the brain before surgery should be an essential part of the preoperative evaluation, particularly when modifications in surgical technique or novel neuroprotective agents are being evaluated.
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http://dx.doi.org/10.1161/01.STR.0000199032.78782.6c | DOI Listing |
Rheumatol Int
January 2025
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University, Salzburg, Austria.
Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by systemic inflammation. While RA primarily affects the joints, its systemic effects may lead to an increased cerebro- and cardiovascular risk. Atherosclerosis of the carotid arteries is a significant risk factor for cerebrovascular events and serves as a surrogate marker for cardiovascular risk.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Vita Stråket 12, Floor 4, 41346, Gothenburg, Sweden.
Background: Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. This study aims to determine the feasibility and preliminary effectiveness of a novel intervention combining MPR, virtual reality (VR), and serious gaming to improve upper limb function in people with chronic stroke.
Methods: In this single case experimental A-B-A design study, six individuals with chronic stroke and moderate to severe upper limb impairment completed 18, 2 h sessions, 3 times a week.
BMC Neurol
January 2025
Graduate School of Physical Education, Myongji University, Mingzhi Road, Churen District, Yongin, 17058, Gyeonggi Province, Republic of Korea.
Background: This study evaluates the comprehensive impact of different exercise interventions on the quality of life in stroke patients through network meta-analysis, aiming to provide scientific evidence for developing more effective rehabilitation programs and improving patients' physical, psychological, and social functions.
Methods: This systematic review, registered in PROSPERO (CRD42024541517) and following PRISMA guidelines, searched multiple databases (PubMed, Web of Science, EMbase, Cochrane, Ebsco) until November 1, 2024. Studies were selected based on the PICOS criteria, including RCTs on stroke and exercise.
Sci Rep
January 2025
DeepClue Inc., Deajeon, Republic of Korea.
To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.
View Article and Find Full Text PDFExp Gerontol
January 2025
Cardiovascular Epidemiology of Aging, Department of Cardiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address:
Background: In light of growing evidence highlighting interactions between cardiac and brain health, we investigated associations of biomarkers of neurodegenerative diseases with adverse outcomes (all-cause and cardiovascular mortality, major cardiovascular events, and stroke) in persons with chronic coronary syndrome (CCS).
Methods: We used data from a cohort of persons with CCS for whom major adverse events were recorded over a follow-up of 20 years. We measured biomarkers of neurodegenerative diseases in baseline blood samples, using the Single-Molecule Array Technology on a HD-1 Analyzer.
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