Key result
Current AF stroke risk models fail to account for nonclinical factors and competing clinical risks.
Why the study?
Current clinical stroke risk prediction models for patients with nonvalvular atrial fibrillation do not incorporate key nonclinical factors and competing clinical risks, limiting their ability to identify patients who benefit most from prevention strategies.
Review evaluates stroke prediction models in nonvalvular atrial fibrillation, highlighting the need for physiological markers.
The last decade has witnessed remarkable advances in pharmacological and nonpharmacological strategies for stroke prevention in patients with atrial fibrillation. However, the currently available clinical stroke risk prediction models do not account for key nonclinical factors (arrhythmia burden, left atrial physiology and anatomy, chemical and electrocardiographic markers) and other competing clinical risks. Hence, their ability to identify patients who will derive the most benefit from pharmacological and mechanical risk prevention strategies remain limited. In this paper, the authors review the current and evolving ischemic stroke risk prediction schemes in patients with nonvalvular atrial fibrillation, highlight the strengths and weaknesses of the models, and discuss the unmet needs in this field.
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Alkhouli et al. (2019) conducted a review in Nonvalvular Atrial Fibrillation. Ischemic stroke risk prediction schemes was evaluated. Current clinical stroke risk prediction models in nonvalvular atrial fibrillation remain limited because they do not account for key nonclinical factors and other competing clinical risks.
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