ReviewJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2025
A new score with superior stroke risk prediction in atrial fibrillation: entropy-based information gain approaches in a large nationwide cohort.
Review in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundRisk scores have been used to assess stroke risk in atrial fibrillation (AF) for reducing ischemic stroke and bleeding risk. Information gain ratio (IGR) is an entropy-based parameter that shows which clinical score is more informative for prediction of the clinical endpoint.
objectiveHerein, we aimed to generate and validate a stroke risk score based on the TuRkish Atrial Fibrillation (TRAF) data.
methodsWe used a split-sample approach to develop and internally validate the new stroke risk score. Based on multivariate logistic regression analysis, we generated CHADS-F in the anticoagulation naïve TRAF cohort (274,631 patients). CHADS-F stands for Cardiac failure (1 point), hypertension (1 point), age (≥ 65-69 = 1 point, ≥ 70-74 = 2 points ≥ 75 = 3 points), diabetes (1 point), stroke (2 points), and older female (1 point) (≥ 65). External validation was performed in the "Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF)" Registry. Informative capacity and accuracy of the CHADS-F score was compared with CHADS
resultsIn anticoagulation naïve cohort, CHADS-F (IGR for all cohort: 0.7526) outperforms both the CHADS
conclusionThe CHADS-F score had higher informative capacity and accuracy than the current CHADS
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