Results 221 to 230 of about 197,015 (348)

Age‐dependent effect of thrombolytics on likelihood of National Institutes of Health Stroke Scale improvement in minor strokes

open access: yesIbrain, Volume 11, Issue 4, Page 504-511, Winter 2025.
There is mixed evidence regarding thrombolytics for minor stroke (NIHSS ≤ 5) patients, particularly across different subpopulations. There is an association between age and treatment response to thrombolytic therapy; there is an age‐dependent effect of degree of NIHSS improvement in response to thrombolytic treatment, particularly with tenecteplase ...
Tarun Thomas   +13 more
wiley   +1 more source

The Inpatient Outcome of Thrombolysis for an Acute St-Elevation Myocardial Infarction in the Coronary Care Unit of Ayub Teaching Hospital

open access: yesJournal of Gandhara Medical and Dental Sciences
OBJECTIVES This study aimed to determine the outcomes, clinical sequelae, and clinical characteristics of patients with pharmacological thrombolysis (lytic therapy) after acute ST-elevated myocardial infarction. METHODOLOGY This prospective cohort
Aftab Ahmad   +6 more
doaj  

Monoclonal Antibody Therapies in Alzheimer's Disease: A Guide for Emergency Physicians

open access: yesEmergency Medicine Australasia, Volume 37, Issue 6, December 2025.
ABSTRACT Whilst the advent of novel disease‐modifying medications for Alzheimer's disease represents potential benefit for patients and caregivers, they may be associated with adverse events that present important considerations for emergency and primary care. This article seeks to highlight some of the challenges Emergency Departments may encounter in
Scott Wrigley   +7 more
wiley   +1 more source

Safety of IV thrombolysis in acute ischemic stroke related to Chagas disease

open access: green, 2013
Pedro Cougo   +9 more
openalex   +1 more source

Dynamic Decrease in Eosinophil After Intravenous Thrombolysis Predicts Poor Prognosis of Acute Ischemic Stroke: A Longitudinal Study

open access: gold, 2021
Dehao Yang   +12 more
openalex   +1 more source

Development and Validation of Multiple Machine Learning Models Integrating Neutrophil‐Lymphocyte Ratio for Prediction of Hemorrhagic Transformation After Intravenous Thrombolysis in Acute Ischemic Stroke

open access: yesCNS Neuroscience &Therapeutics, Volume 31, Issue 12, December 2025.
Machine learning models integrating the inflammatory biomarker neutrophil‐lymphocyte ratio (NLR) with clinical/imaging biomarkers (NIHSS, ASPECTS) accurately predicted hemorrhagic transformation post‐thrombolysis. The optimal logistic regression‐based nomogram and SHAP analysis prioritized stroke severity and NLR for enhanced clinical utility. ABSTRACT
Fanhai Bu   +5 more
wiley   +1 more source

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