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Checklists and disease-specific order sets are increasingly being used in health care to reduce medical errors and improve the quality of patient care. Stroke, which has standardized and well-defined care processes, is an idea/ideal condition for the use of checklists. We describe the Stroke 8 checklist, designed to be part of the daily assessment of patients hospitalized with acute stroke. It consists of 8 items classified into 3 categories as follows: (1) stroke prevention: antithrombotic use, statin use, glucose control, blood pressure control; (2) prevention of complications: deep venous thrombosis prophylaxis, temperature control; and (3) recovery and disposition: fluids and nutrition, mobility and therapy. The Stroke 8 checklist has been implemented in 3 formats over an 8-year period: laminated cards, an electronic documentation template, and an electronic template supplemented with clinical data autopopulated from the electronic health record. We have found the Stroke 8 to be a valuable tool in the daily inpatient management of patients with acute stroke.
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http://dx.doi.org/10.1097/HPC.0000000000000037 | DOI Listing |
Stroke
September 2025
Departments of Radiology and Neurology, Neuroprotection Research Laboratories, Massachusetts General Hospital, Harvard Medical School, Boston (E.L., R.M.P., K.H., E.H.L., E.E.).
Background: Despite promising preclinical results, remote limb ischemic postconditioning efficacy in human stroke treatment remains unclear, with mixed clinical trial outcomes. A potential reason for translational difficulties could be differences in circadian rhythms between nocturnal rodent models and diurnal humans.
Methods: Male C57BL/6J mice were subjected to transient focal cerebral ischemia and then exposed to remote postconditioning during their active or inactive phase and euthanized at 24 hours and 3 days.
Arterioscler Thromb Vasc Biol
September 2025
Institute of Cardiovascular Diseases and Department of Cardiology, Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu (K.L., H.M., W.J
Background: The estimated glucose disposal rate (eGDR) is a validated surrogate marker of insulin resistance. However, its association with stroke and dementia in nondiabetic populations remains insufficiently investigated.
Methods: This prospective cohort study included nondiabetic participants from the UK Biobank.
Stroke
September 2025
Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York. (F.C.P., M.R., M.S., A.K., S.G., S.A., S.P., J.C., D.J.R.).
Background: Major ABO-incompatible platelet transfusions are associated with poor intracerebral hemorrhage (ICH) outcomes, yet drivers for this relationship remain unclear. Brain magnetic resonance imaging (MRI) ischemic lesions after ICH are neuroimaging biomarkers of secondary brain injury and are associated with poor outcomes. Given that ABO-incompatible platelet transfusions can induce immune complex formation, thrombo-inflammation, and endothelial barrier disruption, factors that could exacerbate cerebral ischemia, we explored whether major ABO-incompatible platelet transfusions are risk factors for ischemic lesions on brain MRI after ICH.
View Article and Find Full Text PDFCirc Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).