Background: Stroke is the third leading cause of death in developed countries and the leading cause of long-term disability worldwide. A series of national stroke audits in the UK highlighted the differences in stroke care between hospitals. The study aims to describe variation in outcomes following stroke and to identify the characteristics of services that are associated with better outcomes, after accounting for case mix differences and individual prognostic factors.
Methods/design: We will conduct a cohort study in eight acute NHS trusts within East of England, with at least one year of follow-up after stroke. The study population will be a systematically selected representative sample of patients admitted with stroke during the study period, recruited within each hospital. We will collect individual patient data on prognostic characteristics, health care received, outcomes and costs of care and we will also record relevant characteristics of each provider organisation. The determinants of one year outcome including patient reported outcome will be assessed statistically with proportional hazards regression models. Self (or proxy) completed EuroQol (EQ-5D) questionnaires will measure quality of life at baseline and follow-up for cost utility analyses.
Discussion: This study will provide observational data about health service factors associated with variations in patient outcomes and health care costs following hospital admission for acute stroke. This will form the basis for future RCTs by identifying promising health service interventions, assessing the feasibility of recruiting and following up trial patients, and provide evidence about frequency and variances in outcomes, and intra-cluster correlation of outcomes, for sample size calculations. The results will inform clinicians, public, service providers, commissioners and policy makers to drive further improvement in health services which will bring direct benefit to the patients.
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http://dx.doi.org/10.1186/1472-6963-11-50 | DOI Listing |
Curr Top Med Chem
January 2025
Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research (JSS AHER), Mysuru, Karnataka, India.
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January 2025
Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, China Three Gorges University, Yichang, Hubei, China.
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January 2025
Department of Cardiology, Athens University School of Medicine, Athens, Greece.
Introduction/objective: Atrial fibrillation (AF) could present with slow ventricular-response; bradycardia could facilitate the emergence of AF. The conviction that one "does not succumb" from bradycardia as an escape rhythm will emerge unless one sustains a fatal injury following syncope is in stark difference with ventricular tachyarrhythmia (VA), which may promptly cause cardiac arrest. However, this is not always the case, as a life-threatening situation may emerge during the bradycardic episode, i.
View Article and Find Full Text PDFBackground: Axial Spondyloarthritis (axSpA) is a chronic inflammatory rheumatic condition affecting the axial skeleton, leading to pain, stiffness, and fatigue. While biologic therapies have improved clinical management, many patients experience partial or no responses, resulting in delays in disease control. Additionally, the risk of adverse events and increased costs remains a concern.
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January 2025
Gladstone Institutes, San Francisco, CA, USA; Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA; Department of Pediatrics, Cardiovascular Research Institute, Institute for Human Genetics, and Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address:
As light sheet fluorescence microscopy (LSFM) becomes widely available, reconstruction of time-lapse imaging will further our understanding of complex biological processes at cellular resolution. Here, we present a comprehensive workflow for in toto capture, processing, and analysis of multi-view LSFM experiments using the ex vivo mouse embryo as a model system of development. Our protocol describes imaging on a commercial LSFM instrument followed by computational analysis in discrete segments, using open-source software.
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