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Identification of patients at risk of stroke from atrial fibrillation
Raymond B. Fohtung,
Michael W. Rich
Division of Cardiology
Institute of Clinical and Translational Sciences (ICTS)
COVID-19 Researchers
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'Identification of patients at risk of stroke from atrial fibrillation'. Together they form a unique fingerprint.
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Keyphrases
Atrial Fibrillation
100%
Patient Identification
100%
Stroke Risk
100%
Patients at Risk
100%
CHA2DS2-VASc
75%
CHADS2
50%
Risk Factors for Stroke
50%
High Risk
25%
Hypertension
25%
Low Risk
25%
Independent Risk Factors
25%
Type 1 Diabetes Mellitus (T1DM)
25%
Congestive Heart Failure
25%
Arrhythmia
25%
Vascular Disease
25%
Clinical Factors
25%
Female Sex
25%
Prediction Accuracy
25%
Moderate Risk
25%
Transient Ischemic Attack
25%
Stroke Ischemic
25%
Demographic Factors
25%
Antithrombotic Therapy
25%
Current Guidelines
25%
Risk Stratification System
25%
Prior Stroke
25%
Medicine and Dentistry
Apoplexy
100%
Atrial Fibrillation
100%
CHA2DS2-VASc Score
37%
Congestive Heart Failure
12%
Cardiac Dysrhythmia
12%
Vascular Disease
12%
Risk Stratification
12%
Diabetes Mellitus
12%
Transient Ischemic Attack
12%
Antithrombotic Therapy
12%
Pharmacology, Toxicology and Pharmaceutical Science
Atrial Fibrillation
100%
Cerebrovascular Accident
100%
Congestive Heart Failure
12%
Heart Arrhythmia
12%
Vascular Disease
12%
Diabetes Mellitus
12%
Transient Ischemic Attack
12%
Antithrombotic Therapy
12%