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Zeitschrift
Erstveröffentlichung
30 Mar 2015
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4 Hefte pro Jahr
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Englisch
access type Open Access

Clinical risk scores for the prediction of incident Atrial Fibrillation: A modernized review.

Online veröffentlicht: 05 May 2021
Seitenbereich: -
Eingereicht: 13 Nov 2020
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
30 Mar 2015
Erscheinungsweise
4 Hefte pro Jahr
Sprachen
Englisch

1. BENJAMIN A., LEVY D., VAZIRI SM., D’AGOSTINO RB., BELANGER AJ., WOLF P. Independent risk factors for atrial fibrillation in a population based cohort study. JAMA 1994, Vol. 271, No.11Search in Google Scholar

2. GO A.S., HYLEK E.M, PHILLIPS K.A., YUCHIAO C., HENAULT L.E., SELBY J.V., et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA 2001;285:2370-5.Search in Google Scholar

3. WILLIAMS BA, CHAMBERLAIN AM, BLANKENSHIP JC, HYLEK EM, VOYCE S, Trends in atrial fibrillation incidence rates within an integrated health care delivery system, 2006 to 2018. JAMA Netw Open. 2020;3(8):e2014874Search in Google Scholar

4. SOLIMAN E.Z., SAFFORD M.M., MUNTNER P., KHODNEVA Y., FARAH Z. DAWOOD FZ., et al. Atrial fibrillation and the risk of myocardial infarction. JAMA Intern Med 2014;174:107-14.Search in Google Scholar

5. O’NEAL W.T., QURESHI W., ZHANG Z.M. Bidirectional association between atrial fibrillation and congestive heart failure in the elderly. J Cardiovasc Med (Hagerstown) 2016;17:181-6.Search in Google Scholar

6. ALONSO A., ALMUWAQQAT Z., CHAMBERLAIN A. Mortality in atrial fibrillation. Is it changing? [published online ahead of print, 2020 Oct 27]. Trends Cardiovasc Med. 2020;S1050-1738(20)30133-X.Search in Google Scholar

7. SCHNABEL RB, LARSON MG, YAMAMOTO JF, SULLIVAN LM., PENCINA MJ., MEIGS JB., et al. Relations of biomarkers of distinct pathophysiological pathways and atrial fibrillation incidence in the community. Circulation. 2010;121(2):200–207Search in Google Scholar

8. LIN L, SELVIN E, LUTSEY P, HOOGEVEEN R, O’NEAL W., SOLIMAN E.Z., et al. Association of N-terminal pro B-type natriuretic peptide change with the risk of atrial fibrillation in the ARIC cohort. Am Heart J 2018;204:119-127Search in Google Scholar

9. CHAMBERLAIN AM, AGARWAL SK, FOLSOM AR, SOLIMAN EZ, CHAMBLESS LE, CROW R. et al. A clinical risk score for atrial fibrillation in a biracial prospective cohort (from the Atherosclerosis Risk in Communities [ARIC] study). Am J Cardiol. 2011; 107(1):85–91.Search in Google Scholar

10. ALONSO A, KRIJTHE BP, ASPELUND T, STEPAS KA, PENCINA MJ, MOSER CB, et al. Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium. J Am Heart Assoc. 2013; 2(2):e000102Search in Google Scholar

11. Swedish Cohort Consortium (Cohorts.se) (2011). Malmö Diet Cancer (Identifier AND-ID: EXT 0012). Retrieved from https://snd.gu.se/en/catalogue/study/ext0012 (last accessed: 11/11/2020)Search in Google Scholar

12. SMITH JG, PLATONOV PG, HEDBLAD B, ENGSTROM G, MELANDER O. Atrial fibrillation in the Malmö Diet and Cancer study: a study of occurrence, risk factors and diagnostic validity. Eur J Epidemiol. 2010 Feb;25(2):95-102.Search in Google Scholar

13. SCHNABEL RB, LARSON MG, YAMAMOTO JF, SULLIVAN LM, PENCINA MJ, MEIGS JB, et al. Relations of biomarkers of distinct pathophysiological pathways and atrial fibrillation incidence in the community. Circulation. 2010;121(2):200–207Search in Google Scholar

14. LI YG, PASTORI D., FARCOMENI A, YANG PS, JANG E, JOUNG B., et al. A Simple Clinical Risk Score (C2HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects Derivation in 471,446 Chinese Subjects, With Internal Validation and External Application in 451,199 Korean Subjects. CHEST 2019; 155(3):510-518Search in Google Scholar

15. CHAO TF, LIU CJ, CHEN SJ, WANG KL, LIN YJ, CHANG SL, et al., CHADS2 score and risk of new-onset atrial fibrillation: A nationwide cohort study in Taiwan. International Journal of Cardiology 168 (2013) 1360–1363.Search in Google Scholar

16. SUENARI K., CHAO TF., LIU CJ. KIHARA Y., CHEN TJ., CHEN SA. Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians. Medicine (2017) 96:1(e5597)Search in Google Scholar

17. KOKUBO Y., WATANABE E., HIGASHIYAMA A., NAKAO YM., KUSANO K., MIYAMOTO Y. Development of a Basic Risk Score for Incident Atrial Fibrillation in a Japanese General Population ― The Suita Study ―Circ J 2017; 81: 1580–1588Search in Google Scholar

18. SMITH JG., NEWTON-CHEH C., ALMGREN P, STRUCK J., MORGENTHALER NG., BERGMANN A., et al. Assessment of conventional cardiovascular risk factors and multiple biomarkers for the prediction of incident heart failure and atrial fibrillation. J Am Coll Cardiol. 2010;56(21):1712-1719.Search in Google Scholar

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