1. Ketchum, ES, Levy, WC. Establishing prognosis in heart failure: A multimarker approach. Progr Cardiovasc Dis 2011; 54: 86–96.
Google Scholar | Crossref | Medline2. Alba, AC, Agoritsas, T, Jankowski, M, et al. Risk prediction models for mortality in ambulatory patients with heart failure. A systematic review. Circ Heart Fail 2013; 6: 881–889.
Google Scholar | Crossref | Medline | ISI3. Howlett, JG. Should we perform a heart failure risk score? Circ Heart Fail 2013; 6: 4–5.
Google Scholar | Crossref | Medline4. Kalantar-Zadeh, K, Block, G, Horwich, T, et al. Reverse epidemiology of conventional cardiovascular risk factors in patients with chronic heart failure. J Am Coll Cardiol 2004; 43: 1439–1444.
Google Scholar | Crossref | Medline | ISI5. Piepoli, MF, Corrà, U, Veglia, F, et al.; on behalf of the MECKI Score Research Group . Exercise tolerance can explain the obesity paradox in patients with systolic heart failure: Data from the MECKI study group. Eur J Heart Fail 2016; 18: 545--553.
Google Scholar6. Kenchaiah, S, Pocock, SJ, Wang, D, et al. Body mass index and prognosis in patients with chronic heart failure: Insights from the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program. Circulation 2007; 116: 627–636.
Google Scholar | Crossref | Medline | ISI7. Fonarow, GC, Srikanthan, P, Costanzo, MR, et al. An obesity paradox in acute heart failure: Analysis of body mass index and in hospital mortality for 108,927 patients in the Acute Decompensated Heart Failure National Registry. Am Heart J 2007; 153: 74–81.
Google Scholar | Crossref | Medline | ISI8. Rector, TS, Ringwala, SN, Anand, IS. Validation of a risk score for dying within 1 year of an admission for heart failure. J Card Fail 2006; 12: 276–280.
Google Scholar | Crossref | Medline9. Girerd, N, Seronde, M-F, Coiro, S, et al.; on behalf of INI-CRCT, Great Network, and the EF-HF Group . Integrative assessment of congestion in heart failure throughout the patient journey. JACC Heart Fail 2018; 6: 273–285.
Google Scholar | Crossref | Medline10. Klein, L, O’Connor, CM, Leimberger, JD, et al. Lower serum sodium is associated with increased short-term mortality in hospitalized patients with worsening heart failure: Results from the Outcomes of a Prospective Trial of Intravenous Milrinone for Exacerbations of Chronic Heart Failure (OPTIME-CHF) study. Circulation 2005; 111: 2454–2460.
Google Scholar | Medline | ISI11. Mozaffarian, D, Nye, R, Levy, WC. Anemia predicts mortality in severe heart failure: The prospective randomized amlodipine survival evaluation (PRAISE). J Am Coll Cardiol 2003; 41: 1933–1939.
Google Scholar | Crossref | Medline | ISI12. Go, AS, Yang, J, Ackerson, LM, et al. Hemoglobin level, chronic kidney disease, and the risks of death and hospitalization in adults with chronic heart failure: The Anemia in Chronic Heart Failure: Outcomes and Resource Utilization (ANCHOR) Study. Circulation 2006; 113: 2713–2723.
Google Scholar | Crossref | Medline | ISI13. Horwich, TB, Kalantar-Zadeh, K, MacLellan, RW, et al. Albumin levels predict survival in patients with systolic heart failure. Am Heart J 2008; 155: 883–889.
Google Scholar | Crossref | Medline | ISI14. Van Iterson, EH, Kim, CH, Uithoven, K, et al. Obesity and hemoglobin content impact peak oxygen uptake in human heart failure. Eur J Prev Cardiol 2018; 25: 1937–1946.
Google Scholar | SAGE Journals | ISI15. Bozkurt, B, Mann, DL, Deswal, A. Biomarkers of inflammation in heart failure. Heart Fail Rev 2010; 15: 331–341.
Google Scholar | Crossref | Medline | ISI16. Berger, R, Huelsman, M, Strecker, K, et al. B-type natriuretic peptide predicts sudden death in patients with chronic heart failure. Circulation 2002; 105: 2392–2397.
Google Scholar | Crossref | Medline | ISI17. Masson, S, Latini, R, Anand, IS, et al. Prognostic value of changes in N-terminal pro-brain natriuretic peptide in Val-HeFT (Valsartan Heart Failure Trial). J Am Coll Cardiol 2008; 52: 997–1003.
Google Scholar | Crossref | Medline | ISI18. Scrutinio, D, Ammirati, E, Guida, P, et al. Clinical utility of N-terminal pro-B-type natriuretic peptide for risk stratification of patients with acute decompensated heart failure. Derivation and validation of the ADHF/NT-proBNP risk score. Int J Cardiol 2013; 168: 2120–2126.
Google Scholar | Crossref | Medline | ISI19. Scrutinio, D, Passantino, A, Guida, P, et al. Incremental utility of prognostic variables at discharge for risk prediction in hospitalized patients with acutely decompensated chronic heart failure. Heart Lung 2016; 45: 212–219.
Google Scholar | Crossref | Medline20. Ghio, S, Gavazzi, A, Campana, C, et al. Independent and additive prognostic value of right ventricular systolic function and pulmonary artery pressure in patients with chronic heart failure. J Am Coll Cardiol 2001; 37: 183–188.
Google Scholar | Crossref | Medline | ISI21. Badagliacca, R, Ghio, S, Correale, M, et al. Prognostic significance of the echocardiographic estimate of pulmonary hypertension and of right ventricular dysfunction in acute decompensated heart failure. A pilot study in HFrEF patients. Int J Cardiol 2018; 271: 301–305.
Google Scholar | Crossref | Medline22. Solomon, SD, Anavekar, N, Skali, H, et al. Influence of ejection fraction on cardiovascular outcomes in a broad spectrum of heart failure patients. Circulation 2005; 112: 3738–3744.
Google Scholar | Crossref | Medline | ISI23. Grayburn, PA, Appleton, CP, DeMaria, AN, et al. Echocardiographic predictors of morbidity and mortality in patients with advanced heart failure: The Beta-blocker Evaluation of Survival Trial (BEST). J Am Coll Cardiol 2005; 45: 1064–1071.
Google Scholar | Crossref | Medline24. Mancini, DM, Eisen, H, Kussmaul, W, et al. Value of peak exercise oxygen consumption for optimal timing of cardiac transplantation in ambulatory patients with heart failure. Circulation 1991; 83: 778–786.
Google Scholar | Crossref | Medline | ISI25. Costanzo, MR, Augustine, S, Bourge, R, et al. Selection and treatment of candidates for heart transplantation. A statement for health professionals from the Committee on Heart Failure and Cardiac Transplantation of the Council on Clinical Cardiology, American Heart Association. Circulation 1995; 92: 3593–3612.
Google Scholar | Crossref | Medline | ISI26. Gitt, AK, Wasserman, K, Kilkowski, C, et al. Exercise anaerobic threshold and ventilatory efficiency identify heart failure patients for high risk of early death. Circulation 2002; 106: 3079–3084.
Google Scholar | Crossref | Medline | ISI27. Agostoni, PG, Corrà, U, Cattadori, G, et al.; on behalf of the MECKI Score Research Group. Metabolic exercise test data combined with cardiac and kidney indexes, the MECKI score: A multiparametric approach to heart failure prognosis. Int J Cardiol 2013; 167: 2710–2718.
Google Scholar | Crossref | Medline | ISI28. Malhotra, R, Bakken, K, D’Elia, E, et al. Cardiopulmonary exercise testing in heart failure. JACC Heart Failure 2016; 4: 607--616.
Google Scholar29. Ouwerkerk, W, Voors, AA, Zwinderman, AH. Factors influencing the predictive power of models for predicting mortality and/or heart failure hospitalization in patients with heart failure. JACC Heart Fail 2014; 2: 429–366.
Google Scholar | Crossref | Medline30. Rahimi, K, Bennett, D, Conrad, N, et al. Risk prediction in patients with heart failure. A systematic review and analysis. JACC Heart Fail 2014; 2: 440–446.
Google Scholar | Crossref | Medline | ISI31. Levy, WC, Mozaffarian, D, Linker, DT, et al. The Seattle Heart Failure Model: Prediction of survival in heart failure. Circulation 2006; 113: 1424–1433.
Google Scholar | Crossref | Medline | ISI32. Moss, AJ, Zareba, W, Hall, WJ, et al.: Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction. N Engl J Med 2002; 346: 877–883.
Google Scholar | Crossref | Medline | ISI33. Lindenfeld, J, Feldman, AM, Saxon, L, et al. Effects of cardiac resynchronization therapy with or without a defibrillator on survival and hospitalizations in patients with New York Heart Association class IV heart failure. Circulation 2007; 115: 204–212.
Google Scholar | Crossref | Medline | ISI34. Kirklin, A, Pagani, FD, Kormos, RL, et al. Eighth annual INTERMACS report: Special focus on framing the impact of adverse events. J Heart Lung Transplant 2017; 36: 1080–1086.
Google Scholar | Crossref | Medline35. Alba, AC, Rao, V, Ivanov, J, et al. Usefulness of the INTERMACS scale to predict outcomes after mechanical assist device implantation. J Heart Lung Transplant 2009; 28: 827–833.
Google Scholar | Crossref | Medline | ISI36. Schaffer, JM, Allen, JG, Weiss, ES, et al. Evaluation of risk indices in continuous-flow left ventricular assist device patients. Ann Thorac Surg 2009; 88: 1889–1896.
Google Scholar | Crossref | Medline37. Hershberger, RE, Nauman, D, Walker, TL, et al. Care processes and clinical outcomes of continuous outpatient support with inotropes (COSI) in patients with refractory end stage heart failure. J Card Fail 2003; 9: 180–187.
Google Scholar | Crossref | Medline | ISI38. Anker, SD, Schroeder, S, Atar, D, et al. Traditional and new composite endpoints in heart failure clinical trials: Facilitating comprehensive efficacy assessments and improving trial efficiency. Eur J Heart Fail 2016; 18: 482–489.
Google Scholar | Crossref | Medline | ISI39. Di Tanna, GL, Wirtz, H, Burrows, KL, et al. Evaluating risk prediction models for adults with heart failure: A systematic literature review. PLoS One 2020; 15: e0224135.
Google Scholar | Crossref | Medline40. Desai, RJ, Wang, SV, Vaduganathan, M, et al. Comparison of machine learning methods with traditional models for use of administrative claims with electronic medical records to predict heart failure outcomes. JAMA Netw Open 2020; 3: e1918962.
Google Scholar | Crossref | Medline41. O’Connor, CM, Whellan, DJ, Wojdyla, D, et al. Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction. The HF-ACTION predictive risk score model. Circ Heart Fail 2012; 5: 63–71.
Google Scholar | Crossref | Medline42. O’Connor, CM, Whellan, DJ, Lee, KL, et al.; HF-ACTION Investigators . Efficacy and safety of exercise training in patients with chronic heart failure: HF-ACTION randomized controlled trial. JAMA 2009; 301: 1439–1450.
Google Scholar | Crossref | Medline | ISI43. Chyu, J, Fonarow, GC, Tseng, CH, et al. Four-variable risk model in men and women with heart failure, Circ Heart Fail 2014; 7: 88–95.
Google Scholar | Crossref | Medline44. Aaronson, KD, Schwartz, JS, Chen, T-M, et al. Development and prospective validation of a clinical index to predict survival in ambulatory patients referred for cardiac transplant evaluation. Circulation 1997; 95: 2660–2667.
Google Scholar | Crossref | Medline |