Kalogeropoulos A, Psaty BM, Vasan RS, Georgiopoulou V, Smith AL, Smith NL, Kritchevsky SB, Wilson PWF, Newman AB, Harris TB, et al. Validation of the health ABC heart failure model for incident heart failure risk prediction: the Cardiovascular Health Study. Circ Heart Fail. 2010  ;3(4):495-502.

Butler J, Kalogeropoulos AP, Georgiopoulou VV, Bibbins-Domingo K, Najjar SS, Sutton-Tyrrell KC, Harris TB, Kritchevsky SB, Lloyd-Jones DM, Newman AB, et al. Systolic blood pressure and incident heart failure in the elderly. The Cardiovascular Health Study and the Health, Ageing and Body Composition Study. Heart. 2011  ;97(16):1304-11.

Kalogeropoulos AP, Georgiopoulou VV, deFilippi CR, Gottdiener JS, Butler J. Echocardiography, natriuretic peptides, and risk for incident heart failure in older adults: the Cardiovascular Health Study. JACC Cardiovasc Imaging. 2012  ;5(2):131-40.

Mandyam MC, Soliman EZ, Alonso A, Dewland TA, Heckbert SR, Vittinghoff E, Cummings SR, Ellinor PT, Chaitman BR, Stocke K, et al. The QT interval and risk of incident atrial fibrillation. Heart Rhythm. 2013  ;10(10):1562-8.

Khan H, Kunutsor S, Kalogeropoulos AP, Georgiopoulou VV, Newman AB, Harris TB, Bibbins-Domingo K, Kauhanen J, Gheorghiade M, Fonarow GC, et al. Resting heart rate and risk of incident heart failure: three prospective cohort studies and a systematic meta-analysis. J Am Heart Assoc. 2015  ;4(1):e001364.

J Smith G, Felix JF, Morrison AC, Kalogeropoulos A, Trompet S, Wilk JB, Gidlöf O, Wang X, Morley M, Mendelson M, et al. Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure. PLoS Genet. 2016  ;12(5):e1006034.

Patel KV, Segar MW, Lavie CJ, Kondamudi N, Neeland IJ, Almandoz JP, Martin CK, Carbone S, Butler J, Powell-Wiley TM, et al. Diabetes Status Modifies the Association Between Different Measures of Obesity and Heart Failure Risk Among Older Adults: A Pooled Analysis of Community-Based NHLBI Cohorts. Circulation. 2022  ;145(4):268-278.

Segar MW, Usman MShariq, Patel KV, Khan MShahzeb, Butler J, Manjunath L, Lam CSP, Verma S, Willett DW, Kao D, et al. Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype. Eur J Heart Fail. 2024  .