Biomarkers and Risk Prediction Tools for Stroke and Dementia in Patients with Atrial Fibrillation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Pharmacology
Link
https://link.springer.com/content/pdf/10.1007/s12170-020-00658-0.pdf
Reference59 articles.
1. Pistoia F, Sacco S, Tiseo C, Degan D, Ornello R, Carolei A. The epidemiology of atrial fibrillation and stroke. Cardiol Clin. 2016;34(2):255–68.
2. January CT, Wann LS, Alpert JS, Calkins H, Cigarroa JE, Cleveland JCJ, et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2014;64(21):e1–e76.
3. Chao T-F, Liu C-J, Tuan T-C, Chen S-J, Wang K-L, Lin Y-J, et al. Comparisons of CHADS2 and CHA2DS2-VASc scores for stroke risk stratification in atrial fibrillation: which scoring system should be used for Asians? Heart Rhythm. 2016;13(1):46–53.
4. • Graves KG, May HT, Jacobs V, Knowlton KU, Muhlestein JB, Lappe DL, et al. CHA2DS2-VASc scores and Intermountain Mortality Risk Scores for the joint risk stratification of dementia among patients with atrial fibrillation. Heart Rhythm. 2019;16(1):3–9 Graves et al. evaluated the association of the CHA2DS2-VASc Score and IMRS with incident dementia in patients with atrial fibrillation and no history of dementia. The authors provide evidence that both risk scores were independently associated with the onset of dementia. Patients in three categories of CHA2DS2-VASc were further stratified by IMRS, especially when CHA2DS2-VASc indicated that risk was low.
5. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA. 2001;285(22):2864–70.
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