AIMC Topic: Thrombolytic Therapy

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Machine learning prediction of thrombolysis efficacy using hs-CRP and inflammatory markers in stroke.

Medicine Oct 24, 2025
The aim of this study was to investigate the relationship between serum ultrasensitive C-reactive protein (hs-CRP) levels and stroke incidence and to assess its potential role in decision-making for thrombolytic therapy in stroke. Given that hs-CRP i...
Female Risk Factors Aged Male Neural Networks, Computer Machine Learning Biomarkers C-Reactive Protein Thrombolytic Therapy Stroke Ferritins Middle Aged ROC Curve Inflammation Nutrition Surveys Humans
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Development of a deep neural network model for ultra-early neurological deterioration in ischemic stroke and analysis of associated risk factors.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 1, 2025
BACKGROUND: In this study, we established a deep neural network (DNN)-based predictive model, aiming to provide a basis for improving the treatment prognosis of early neurological deterioration (END) in patients with ultra-early ischemic stroke after...
Humans Male Middle Aged Ischemic Stroke Thrombolytic Therapy Fibrinolytic Agents Tissue Plasminogen Activator Female Clinical Deterioration Risk Factors Aged Aged, 80 and over Neural Networks, Computer Prognosis Retrospective Studies
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Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 1, 2025
OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic stroke patient remains challenging, as it is impossible to observe the outcomes for both with and without successful recanalization in the same individ...
Risk Assessment Time Factors Treatment Outcome Recovery of Function Aged, 80 and over Male Middle Aged Functional Status Patient Selection Thrombectomy Predictive Value of Tests Ischemic Stroke Thrombolytic Therapy Disability Evaluation Humans Machine Learning Decision Support Techniques Precision Medicine Retrospective Studies Clinical Decision-Making Female Risk Factors Aged
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Advanced Machine Learning Models for Predicting Post-Thrombolysis Hemorrhagic Transformation in Acute Ischemic Stroke Patients: A Systematic Review and Meta-Analysis.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis Jan 1, 2024
Thrombolytic therapy is essential for acute ischemic stroke (AIS) management but poses a risk of hemorrhagic transformation (HT), necessitating accurate prediction to optimize patient care. A comprehensive search was conducted across PubMed, Web of...
Thrombolytic Therapy Hemorrhagic Stroke Machine Learning Risk Assessment Ischemic Stroke Humans
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[Saved myocardium in acute ST-segment elevation myocardial infarction post-reperfusion: Analysis by cardiac magnetic resonance].

Revista medica de Chile Sep 1, 2023
OBJECTIVE: To quantify by cardiovascular magnetic resonance the salvaged myocardium in the myocardium supplied by the infarct-related artery in reperfused and non-reperfused patients with a first ST-segment elevation myocardial infarction (STEMI).
Thrombolytic Therapy ST Elevation Myocardial Infarction Myocardial Reperfusion Myocardium Coronary Angiography Troponin Male Middle Aged Treatment Outcome Magnetic Resonance Imaging Humans Female Aged
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Correlation between Immune-Inflammatory Markers and Clinical Features in Patients with Acute Ischemic Stroke.

Acta neurologica Taiwanica Dec 1, 2020
OBJECTIVE: Chronic inflammatory processes involving the vascular wall may induce atherosclerosis. Immune-inflammatory processes proceed throughout all stages of acute stroke. We investigated the association of three immune-inflammatory markers, namel...
Treatment Outcome Ischemic Stroke Humans Thrombolytic Therapy Fibrinolytic Agents Retrospective Studies Female Aged Stroke Brain Ischemia Tissue Plasminogen Activator
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Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

Journal of thrombosis and thrombolysis Nov 1, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. During this time, the management of people with acute coronary syndromes (ACS) and COVID-19 has become a global issue, especially since...
Humans Percutaneous Coronary Intervention Coronavirus Infections Pandemics COVID-19 Acute Coronary Syndrome Motor Activity Treatment Outcome Pneumonia, Viral Risk Factors Robotics Infectious Disease Transmission, Patient-to-Professional Thrombolytic Therapy Infection Control Personal Protective Equipment ST Elevation Myocardial Infarction Occupational Exposure
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[Signifiance of brush sign on susceptibility-weighted imaging predicts hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Nov 1, 2015
OBJECTIVE: To assess brush sign (BS) on susceptibility-weighted imaging (SWI) in prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) after intravenous thrombolysis(IVT).
Brain Ischemia Tissue Plasminogen Activator Administration, Intravenous Carotid Artery, Internal Treatment Outcome Thrombolytic Therapy Diagnostic Imaging Stroke Middle Aged Recombinant Proteins United States Female Aged Aged, 80 and over Male Humans
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