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The decrease in stroke mortality will increase the burden of survivors with functional dependence (FD). The aim of this study was to evaluate how many patients become functionally dependent over 3 years after an incident event in Joinville, Brazil. The proportion of FD (defined as a modified Rankin score 3 to 5) among stroke survivors from the Joinville Stroke Registry was assessed using a validated telephone interview. Incidence of FD after stroke in Joinville in one year was 23.24 per 100,000 population. The overall proportion of FD among stroke survivors at discharge was 32.7%. Of 303 patients with first-ever ischaemic stroke (IS), one-third were FD at discharge, and 12%, 9% and 8%, respectively at 1, 2 and 3 years. Among 37 patients with haemorrhagic stroke (HS), 38% were dependent at discharge, 16% after 1 and 2 years and 14% after 3. Among 27 patients with subarachnoid haemorrhage (SAH), 19% were dependent at discharge and 4% from 1 to 3 years. Among IS subtypes, cardioembolic ones had the worst risk of FD. (RR 19.8; 95% CI: 2.2 to 175.9). Our results showed that one-third of stroke survivors have FD during the first year after stroke in Brazil. Therefore, a city with half a million people might expect 120 new stroke patients with FD each year.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5249115 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170204 | PLOS |
Aging Clin Exp Res
December 2024
Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Background: Malnutrition, post-stroke depression (PSD), post-stroke anxiety (PSA), and post-stroke fatigue (PSF) in stroke survivors have complex relationships and are associated with adverse stroke outcomes.
Aims: This research aims to explore the temporal and directional relationships between malnutrition, PSD, PSA, and PSF after stroke in older adults.
Methods: Patients aged 65 years and older with their first ischemic stroke from two centers were selected and assessed at baseline, 3 months and 12 months.
Front Neurol
December 2024
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Background: Poststroke irritability (PSI) is common among stroke survivors and can lead to a poor quality of life, difficulties in social interactions, criticism from caregivers, and caregiver stress. The planned study will evaluate the clinical, neuropsychological, and magnetic resonance imaging (MRI) correlates of PSI in a cohort of stroke survivors. In addition, the study will examine the 15-month progression of PSI.
View Article and Find Full Text PDFPM R
December 2024
Department of Physical Medicine and Rehabilitation, Cedars-Sinai, Los Angeles, California, USA.
Background: White stroke survivors often experience better outcome compared to their counterparts. Poststroke discharge location influences the subsequent rehabilitation that can support recovery and improve outcomes. However, few studies have looked at the association of race and discharge to home.
View Article and Find Full Text PDFIEEE Robot Autom Lett
February 2025
Department of Mechanical Engineering, Columbia University in the City of New York, NY, USA.
Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data collection. Additionally, EMG signals exhibit significant variations across different conditions, sessions, and subjects, making it hard for classifiers to generalize. Traditional approaches require a large labeled dataset from the new condition, session, or subject to train intent classifiers; however, this data collection process is burdensome and time-consuming.
View Article and Find Full Text PDFExp Brain Res
December 2024
School of Biomedical sciences, University of Leeds, Leeds, UK.
Current clinical assessment tools don't fully capture the genuine neural deficits experienced by chronic stroke survivors and, consequently, they don't fully explain motor function throughout everyday life. Towards addressing this problem, here we aimed to characterise post-stroke alterations in upper-limb control from a novel perspective to the muscle synergy by applying, for the first time, a computational approach that quantifies diverse types of functional muscle interactions (i.e.
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