Objectives: The objective of this study was to quantify trends (2008-2019) in stroke outcomes by race-ethnicity.
Methods: Patients with ischemic stroke from a population-based study were interviewed at 90 days to assess outcomes. Linear regression with multiple imputation and inverse probability weighting was used to model trends.
Results: The median age was 66 years (n = 1,449); 61% were Mexican American (MA). QOL remained stable with no race-ethnic difference in trends ( for time*race-ethnicity interaction = 0.81). Neurologic outcomes improved for MA ( < 0.01) but not non-Hispanic White (NHW) persons with stroke ( = 0.23) with no race-ethnic difference in trends ( for interaction = 0.23). For functional outcomes, trends were stable and then improved in MA persons with stroke ( for interaction = 0.01), whereas trends were stable in NHW persons with stroke ( = 0.52). For cognitive outcomes, there was little change in NHW persons with stroke ( = 0.50); in MA persons with stroke, there was improvement followed by decline and then improvement ( = 0.03). No race-ethnic differences in trends in functional ( for interaction = 0.51) or cognitive ( for interaction = 0.21) outcomes were noted.
Discussion: Outcome improvements were noted in MA but not NHW persons with stroke; race-ethnic differences were not present in 2019. Understanding factors contributing to favorable trends in MA persons may be informative for improving outcomes in all persons.
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http://dx.doi.org/10.1212/WNL.0000000000210033 | DOI Listing |
Life Med
June 2023
Collaborative Innovation Center for Brain Science, School of Life Science and Technology, Tongji University, Shanghai 200092, China.
China and the world are facing severe population aging and an increasing burden of age-related diseases. Aging of the brain causes major age-related brain diseases, such as neurodegenerative diseases and stroke. Identifying biomarkers for the effective assessment of brain aging and establishing a brain aging assessment system could facilitate the development of brain aging intervention strategies and the effective prevention and treatment of aging-related brain diseases.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.
Introduction: Early prognosis prediction of acute ischemic stroke (AIS) can support clinicians in choosing personalized treatment plans. The aim of this study is to develop a machine learning (ML) model that uses multiple post-labeling delay times (multi-PLD) arterial spin labeling (ASL) radiomics features to achieve early and precise prediction of AIS prognosis.
Methods: This study enrolled 102 AIS patients admitted between December 2020 and September 2024.
Clin Cardiol
January 2025
Research Laboratory, Molecular Bases of Human Pathology, LR19ES13, Faculty of Medicine, University of Sfax, Sfax, Tunisia.
Background: Endothelial function (EndFx) is a core component of cardiovascular (CV) health and cardioprotection following acute myocardial infarction (AMI) treated with primary percutaneous coronary intervention (PCI).
Hypothesis: AMI patients experience endothelial dysfunction (EndDys), associated with traditional CV risk factors and sleep patterns. EndFx may also predict short and mid-term outcomes.
Clin Cardiol
January 2025
Department of Cardiology, Firat University Hospital, Elazig, Türkiye.
Objective: The main objective of this study is to determine the incidence and predictors of clinical outcomes in patients with AF treated with factor Xa inhibitors in a real-world setting.
Methods: The present study was a multicentre and observational study that included patients with AF who were treated with factor Xa inhibitors. The primary outcome was the composite of ischemic stroke, TIA, systemic embolism, major bleeding, and all-cause mortality.
Biomater Sci
January 2025
Department of Molecular Bioscience, The University of Texas at Austin, Austin, Texas 78712, USA.
Extracellular vesicles (EVs) are secreted by almost all cell types and contain DNA, RNA, proteins, lipids and other metabolites. EVs were initially believed to be cellular waste but now recognized for their role in cell-to-cell communication. Later, EVs from immune cells were discovered to function similarly to their parent cells, paving the way for their use as gene and drug carriers.
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