Our validation efforts revealed that a simple risk algorithm including strong risk factors consistently associated with incident AF predicted long-term incidence of AF reasonably well in 2 additional independent cohorts, one of which included African Americans.1 The selection criteria for the current risk algorithm comprised risk indicators clinically available from patient history and physical examination at no additional cost. Other known and novel risk factors will need to be evaluated for their ability to improve risk prediction beyond the current algorithm. A standardized assessment of risk factors across populations is desirable.
Schnabel RB, Benjamin EJ, Gudnason V, Heckbert SR. Improving the Prediction of Incident Atrial Fibrillation—Reply. Arch Intern Med. 2011;171(12):1125. doi:10.1001/archinternmed.2011.267
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