Stroke risk scores to predict hospitalization for acute decompensated heart failure in atrial fibrillation patients

1. STEWART, S., HART, C.L., HOLE, D.J., MCMURRAY, J.J. Population prevalence, incidence, and predictors of atrial fibrillation in the Renfrew/Paisley study. Heart 2001 m.; 86(5):516–21.10.1136/heart.86.5.516Search in Google Scholar

2. KLOOSTERMAN, M., CRIJNS, H.J.G.M., VAN GELDER, I.C. Rising prevalence of atrial fibrillation in the elderly population: New challenges of geriatric cardiology. Europace 2019 m.; 21(10):1451–1453.10.1093/europace/euz234Search in Google Scholar

3. BENJAMIN, E.J., MUNTNER, P., ALONSO, A., BITTENCOURT, M.S., CALLAWAY, C.W., CARSON, A.P., et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association,b.n.,B.m.,2019 m.Search in Google Scholar

4. LIP, G.Y.H., BRECHIN, C.M., LANE, D.A. The global burden of atrial fibrillation and stroke: A systematic review of the epidemiology of atrial fibrillation in regions outside North America and Europe. Chest 2012 m.; 142(6):1489–1498.10.1378/chest.11-2888Search in Google Scholar

5. BENJAMIN, E.J., WOLF, P.A., D’AGOSTINO, R.B., SILBERSHATZ, H., KANNEL, W.B., LEVY, D. Impact of atrial fibrillation on the risk of death: The Framingham Heart Study. Circulation 1998 m.; 98(10):946–952.10.1161/01.CIR.98.10.946Search in Google Scholar

6. BALL, J., CARRINGTON, M.J., MCMURRAY, J.J. V, STEWART, S. Atrial fibrillation: Profile and burden of an evolving epidemic in the 21st century. Int. J. Cardiol. 2013 m.; 167(5):1807–1824.10.1016/j.ijcard.2012.12.093Search in Google Scholar

7. CHUGH, S.S., HAVMOELLER, R., NARAYANAN, K., SINGH, D., RIENSTRA, M., BENJAMIN, E.J., et al. Worldwide epidemiology of atrial fibrillation: A global burden of disease 2010 study. Circulation 2014 m.;129(8):837–847.10.1161/CIRCULATIONAHA.113.005119Search in Google Scholar

8. DOUGLAS P. ZIPES, PETER LIBBY, ROBERT O. BONOW, DOUGLAS L. MANN, G.F.T.& E.B. Braunwald’s Heart Disease: A Textbook of Cardiovascular Medicine, Eleventh Edition,Elsevier,B.m.,2018 m.Search in Google Scholar

9. STEWART, S., HART, C.L., HOLE, D.J., MCMURRAY, J.J.V. A population-based study of the long-term risks associated with atrial fibrillation: 20-Year follow-up of the Renfrew/Paisley study. Am. J. Med. 2002 m.; 113(5):359–364.10.1016/S0002-9343(02)01236-6Search in Google Scholar

10. .KOTECHA, D., PICCINI, J.P. Atrial fibrillation in heart failure: What should we do?. Eur. Heart J. 2015 m.; 36(46):3250–3257.10.1093/eurheartj/ehv513467096626419625Search in Google Scholar

11. LIP, G.Y.H., NIEUWLAAT, R., PISTERS, R., LANE, D.A., CRIJNS, H.J.G.M., ANDRESEN, D., et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: The Euro Heart Survey on atrial fibrillation. Chest 2010 m.; 137(2):263–272.10.1378/chest.09-158419762550Search in Google Scholar

12. Atrial Fibrillation investigators. Risk factors for stroke and efficacy of antithrombotic therapy in atrial fibrillation. Arch Intern Med. 1994 m.; 154:1449–115710.1001/archinte.1994.00420130036007Search in Google Scholar

13. PREVENTION, S., INVESTIGATORS, F. Risk factors for thromboembolism during aspirin therapy in patients with atrial fibrillation: The stroke prevention in atrial fibrillation study. J. Stroke Cerebrovasc. Dis. 1995 m.;5(3):147–157.10.1016/S1052-3057(10)80166-1Search in Google Scholar

14. GAGE, B.F., WATERMAN, A.D. Validation of Clinical Classification Schemes for Predicting Stroke Results From the National Registry of Atrial Fibrillation. JAMA J. Am. Med. Assoc. 2001 m.; 285(22):2864–2870.10.1001/jama.285.22.286411401607Search in Google Scholar

15. PICCINI, J.P., STEVENS, S.R., CHANG, Y., SINGER, D.E., LOKHNYGINA, Y., GO, A.S., et al. Renal dysfunction as a predictor of stroke and systemic embolism in patients with nonvalvular atrial fibrillation: Validation of the R2CHADS2 index in the ROCKET AF. Circulation 2013 m.; 127(2):224–232.10.1161/CIRCULATIONAHA.112.10712823212720Search in Google Scholar

16. FU, S., ZHOU, S., LUO, L., YE, P. Clinical Interventions in Aging Dovepress r 2(gFr) ChADs 2 and r 2(gFr) ChA 2 Ds 2 VAsc schemes improved the performance of ChADs 2 and ChA 2 Ds 2 VASc scores in death risk stratification of Chinese older patients with atrial fibrillation. Clin. Interv. Aging 2017 m.; 12–1233.10.2147/CIA.S138405555710528848331Search in Google Scholar

17. FANG, M.C., GO, A.S., CHANG, Y., BOROWSKY, L., POMERNACKI, N.K., SINGER, D.E. Comparison of Risk Stratification Schemes to Predict Thromboembolism in People With Nonvalvular Atrial Fibrillation 2008 m.10.1016/j.jacc.2007.09.065353496018294564Search in Google Scholar

18. SINGER, D.E., CHANG, Y., BOROWSKY, L.H., FANG, M.C., POMERNACKI, N.K., UDALTSOVA, N., et al. A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: The ATRIA study stroke risk score. J. Am. Heart Assoc. 2013 m.; 2(3).10.1161/JAHA.113.000250369879223782923Search in Google Scholar

19. OLDGREN, J., HIJAZI, Z., LINDBÄCK, J., ALEXANDER, J.H., CONNOLLY, S.J., EIKELBOOM, J.W., et al. Performance and Validation of a Novel Biomarker-Based Stroke Risk Score for Atrial Fibrillation. Circulation 2016 m.; 134(22):1697–1707.10.1161/CIRCULATIONAHA.116.02280227569438Search in Google Scholar

20. HIJAZI, Z., LINDBÄCK, J., ALEXANDER, J.H., HANNA, M., HELD, C., HYLEK, E.M., et al. The ABC (age, biomarkers, clinical history) stroke risk score: A biomarker-based risk score for predicting stroke in atrial fibrillation. Eur. Heart J. 2016 m.; 37(20):1582–1590.10.1093/eurheartj/ehw054487556026920728Search in Google Scholar

21. HIJAZI, Z., OLDGREN, J., ANDERSSON, U., CONNOLLY, S.J., EZEKOWITZ, M.D., HOHNLOSER, S.H., et al. Importance of persistent elevation of cardiac biomarkers in atrial fibrillation: A RE-LY substudy. Heart 2014 m.; 100(15):1193–1200.10.1136/heartjnl-2013-30487224794140Search in Google Scholar

22. SIQUIN YE, MIN QIAN, BO ZHAO, R.B. et al. CHA2 DS2 -VASc Score and Adverse Outcomes in Patients with Heart Failure with Reduced Ejection Fraction and Sinus Rhythm. b.n.Available at: doi:10.1002/ejhf.613.10.1002/ejhf.613505386927444219Search in Google Scholar

23. BIANCARI, F., ASIM MAHAR, M.A., KANGASNIEMI, O.P. CHADS2 and CHA2DS2-VASc scores for prediction of immediate and late stroke after coronary artery bypass graft surgery. J. Stroke Cerebrovasc. Dis. 2013 m.; 22(8):1304–1311.10.1016/j.jstrokecerebrovasdis.2012.11.00423253529Search in Google Scholar

24. PAOLETTI PERINI, A., BARTOLINI, S., PIERAGNOLI, P., RICCIARDI, G., PERROTTA, L., VALLEGGI, A., et al. CHADS2 and CHA2DS2-VASc scores to predict morbidity and mortality in heart failure patients candidates to cardiac resynchronization therapy. Europace 2014 m.; 16(1):71–80.10.1093/europace/eut19023828875Search in Google Scholar

25. KOEDA, Y., KOMATSU, T., MATSUURA, Y., MORIOKA, H., UCHIMURA, Y., TAGUCHI, Y., et al. CHADS2 and modified CHA2DS2-VASc scores for the prediction of congestive heart failure in patients with nonvalvular atrial fibrillation. J. Arrhythmia 2017 m.; 33(5):488–493.10.1016/j.joa.2017.06.006563471329021855Search in Google Scholar

26. MAMAS, M.A., CALDWELL, J.C., CHACKO, S., GARRATT, C.J., FATH-ORDOUBADI, F., NEYSES, L. A meta-analysis of the prognostic significance of atrial fibrillation in chronic heart failure. Eur. J. Heart Fail. 2009 m.; 11(7):676–683.10.1093/eurjhf/hfp08519553398Search in Google Scholar

27. WANG, T.J., LARSON, M.G., LEVY, D., VASAN, R.S., LEIP, E.P., WOLF, P.A., et al. Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: The Framingham heart study. Circulation 2003 m.; 107(23):2920–2925.10.1161/01.CIR.0000072767.89944.6E12771006Search in Google Scholar

28. NACCARELLI, G.V., PANACCIO, M.P., CUMMINS, G., T.U., N. CHADS2 and CHA2DS2-VASc risk factors to predict first cardiovascular hospitalization among atrial fibrillation/atrial flutter patients. Am. J. Cardiol. 2012 m.;109(10):1526–1533.10.1016/j.amjcard.2012.01.37122360819Search in Google Scholar

29. CAMELO-CASTILLO, A., RIVERA-CARAVACA, J.M., MARÍN, F., VICENTE, V., LIP, G.Y.H., ROLDÁN, V. Predicting Adverse Events beyond Stroke and Bleeding with the ABC-Stroke and ABC-Bleeding Scores in Patients with Atrial Fibrillation: The Murcia AF Project. Thromb. Haemost. 2020 m.10.1055/s-0040-171291432506417Search in Google Scholar

30. ZHU, W., WU, Y., ZHOU, Y., LIANG, W., XUE, R., WU, Z., et al. CHA2DS2-VASc and ATRIA Scores and Clinical Outcomes in Patients with Heart Failure with Preserved Ejection Fraction. Cardiovasc. Drugs Ther. 2020 m.10.1007/s10557-020-07011-y32583288Search in Google Scholar

31. FARIS, R.F., FLATHER, M., PURCELL, H., POOLE-WILSON, P.A., COATS, A.J. Diuretics for heart failure. John Wiley and Sons LtdAvailable at: doi:10.1002/14651858.CD003838.pub4.10.1002/14651858.CD003838.pub4641376627040884Search in Google Scholar

32. SLIVNICK, J., LAMPERT, B.C. Hypertension and Heart Failure. Elsevier Inc.Available at: doi:10.1016/j.hfc.2019.06.007.10.1016/j.hfc.2019.06.00731472888Search in Google Scholar

33. SORRENTINO, M.J. The Evolution from Hypertension to Heart Failure. Elsevier Inc.Available at: doi:10.1016/j.hfc.2019.06.005.10.1016/j.hfc.2019.06.00531472880Search in Google Scholar