Article

Plenary Lecture: The Evolution of Cardiovascular Disease Worldwide: New Frontiers

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Dr Fuster is a distinguished figure in the cardiology field. Following his graduation from the University of Edinburgh he commenced work at the Mayo Clinic and Mount Sinai, where he is now physician-in-chief. In 1996 he received the Principe de Asturias Award of Science and Technology, the highest award given to a Spanish-speaking scientist. In 2010 Dr Fuster received an Honoris Causa from the University of Edinburgh, one of the 40 that he has achieved to date. As of December 2016 Dr Fuster has served as Program Director for the American College of Cardiology’s Annual New York Cardiovascular Symposium for 22 consecutive years. He has also authored books and starred in a movie, The Resilient Heart, which focused on his work in prevention of cardiovascular disease (CVD). Dr Fuster is a member of the Institute of Medicine of the National Academy of Sciences.

The evolution of CVD therapy worldwide is moving towards identifying risk at early stages of life.1 While recent advances in surgery, intervention, pharmacology, imaging and genetics have been impressive for the treatment and understanding of later stage CVD; mechanisms of disease differ at different life stages. The 2013 American College of Cardiology Foundation/American Heart Association (ACCF/AHA) Guideline for the Management of Heart Failure (HF) guidelines was based on advanced disease.2 While recent work has highlighted the rapid advances that have been made in understanding dilated cardiomyopathy, a precursor to HF,3 and assist devices have proven effective in end-stage disease,4 Dr Fuster emphasised the need to focus on people at high risk for HF, but without structural heart disease.

He highlighted recent additions to the guidelines that have included biomarkers that may help identify an at-risk population.5 These include screening assays based on levels of pro-brain natriuretic peptide6 and troponin,7 leading to high-sensitivity cardiac troponin (hs-cTn) assays.8 Sixyear increases in the levels of hs-cTn, suggestive of progressive myocardial damage, are independently associated with HF.9 A risk model based on these biomarkers has been used to develop a robust tool for the prediction of cardiovascular death in patients with stable coronary heart disease.10 Other aspects of changing approaches to CVD include a greater focus on the atherosclerotic disease burden rather than on features of individual plaques,11 and the evolving paradigm of CVD as a systemic disease that is dependent on macrophage activity.12 Imaging studies of patients after acute coronary syndrome (ACS) have demonstrated increased splenic metabolic activity after ACS and its association with proinflammatory remodelling of circulating leukocytes.13 Evolving non-invasive technologies are also evaluating ischaemia at the microcirculation level.14 In the future, Dr Fuster predicts that ischaemia of each artery will be assessed by noninvasive techniques.

Dr Fuster turned his focus to the evolving landscape of CVD and what he believed the future hold for its various treatments. Due to the increasing prevalence of diabetes, Dr Fuster predicts an increasing use of coronary artery bypass grafts and decreasing use of optimal medical therapy and percutaneous intervention. However, pharmacology may play a role in earlier disease stages. Of particular interest are the proprotein convertase subtilisin/kexin 9 inhibitors,15 and the results emerging from cardiovascular outcome trials involving sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide 1 analogues.16 In addition, new treatment modalities for HF that are employed at the early stages of the disease are emerging,17 and cardiovascular regenerative medicine using genetic editing is advancing rapidly and offers considerable future potential.18

Dr Fuster turned his attention to the challenges of treating HF in older patients. Chief among his concerns was patient adherence to therapy, which has led to the development of the polypill for cardiovascular prevention.19–21 Also important is the issue of cognitive degeneration due to microvascular disease. The cumulative burden of cardiovascular risk factors from childhood/adolescence has been associated with worse midlife cognitive performance independent of adulthood exposure.22 Dr Fuster is currently undertaking a study known as the Trans-Atlantic Network to Study Stepwise Noninvasive imaging as a Tool for Cardiovascular Prognosis and Prevention (TANSNIP) heart to heart (H2H), to investigate the relationship between levels of dementia and cardiovascular risk factors.

Finally, Dr Fuster emphasised that of all the risk factors for CVD, behaviour is the most difficult to modify. However, a number of successful community interventions have illustrated the value of education.25 Several studies and health programmes have independently indicated that behaviour modification, in terms of preventing CVD, is best achieved if the intervention is applied at early ages. Dr Fuster is personally involved in many educational initiatives that promote cardiovascular health during childhood.26 Dr Fuster concluded by reinforcing the importance of identifying CVD at an early stage.

References

  1. Fuster V. Stratified approach to health: integration of science and education at the right time for each individual. J Am Coll Cardiol 2015;66:1627–9.
    Crossref | PubMed
  2. Yancy CW, Jessup M, Bozkurt B, et al. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation 2013;128:e240–327.
    Crossref | PubMed
  3. Weintraub RG, Semsarian C, Macdonald P. Dilated cardiomyopathy. Lancet 2017;390:400–14.
    Crossref | PubMed
  4. Rogers JG, Pagani FD, Tatooles AJ, et al. intrapericardial left ventricular assist device for advanced heart failure. N Engl J Med 2017;376:451–60.
    Crossref | PubMed
  5. Yancy CW, Jessup M, Bozkurt B, et al. 2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2017;70:776–803.
    Crossref | PubMed
  6. McKie PM, Burnett JC Jr. NT-proBNP: the gold standard biomarker in heart failure. J Am Coll Cardiol 2016;68:2437–9.
    Crossref | PubMed
  7. Westermann D, Neumann JT, Sorensen NA, et al. Highsensitivity assays for troponin in patients with cardiac disease. Nat Rev Cardiol 2017;14:472–83.
    Crossref | PubMed
  8. Twerenbold R, Boeddinghaus J, Nestelberger T, et al. Clinical use of high-sensitivity cardiac troponin in patients with suspected myocardial infarction. J Am Coll Cardiol 2017;70:996– 1012.
    Crossref | PubMed
  9. McEvoy JW, Chen Y, Ndumele CE, et al. Six-year change in high-sensitivity cardiac troponin t and risk of subsequent coronary heart disease, heart failure, and death. JAMA Cardiol 2016;1:519–28.
    Crossref | PubMed
  10. Lindholm D, Lindback J, Armstrong PW, et al. Biomarker-based risk model to predict cardiovascular mortality in patients with stable coronary disease. J Am Coll Cardiol 2017;70:813–26.
    Crossref | PubMed
  11. Arbab-Zadeh A, Fuster V. The myth of the “vulnerable plaque”: transitioning from a focus on individual lesions to atherosclerotic disease burden for coronary artery disease risk assessment. J Am Coll Cardiol 2015;65:846–55.
    Crossref | PubMed
  12. Libby P, Nahrendorf M, Swirski FK. Leukocytes link local and systemic inflammation in ischemic cardiovascular disease: an expanded “cardiovascular continuum”. J Am Coll Cardiol 2016;67:1091–103.
    Crossref | PubMed
  13. Emami H, Singh P, MacNabb M, et al. Splenic metabolic activity predicts risk of future cardiovascular events: demonstration of a cardiosplenic axis in humans. JACC Cardiovasc Imaging 2015;8:121–30.
    Crossref | PubMed
  14. Kato S, Saito N, Nakachi T, et al. Stress perfusion coronary flow reserve versus cardiac magnetic resonance for known or suspected CAD. J Am Coll Cardiol 2017;70:869–79.
    Crossref | PubMed
  15. Lloyd-Jones DM, Morris PB, Ballantyne CM, et al. 2017 Focused update of the 2016 ACC expert consensus decision pathway on the role of non-statin therapies for ldl-cholesterol lowering in the management of atherosclerotic cardiovascular disease risk. J Am Coll Cardiol 2017;70:1785–822.
    Crossref | PubMed
  16. Sattar N, Petrie MC, Zinman B, et al. Novel diabetes drugs and the cardiovascular specialist. J Am Coll Cardiol 2017;69:2646–56.
    Crossref | PubMed
  17. von Lueder TG, Krum H. New medical therapies for heart failure. Nat Rev Cardiol 2015;12:730–40.
    Crossref | PubMed
  18. Climent AM, Sanz-Ruiz R, Fernández-Santos ME, et al. General overview of the 13th TECAM conference: time for a global initiative in 2016. Circ Res 2016;119:409–13.
    Crossref | PubMed
  19. Sanz G, Fuster V, Guzmán L, et al. The fixed-dose combination drug for secondary cardiovascular prevention project: improving equitable access and adherence to secondary cardiovascular prevention with a fixed-dose combination drug. Study design and objectives. Am Heart J 2011;162:811–7 e1.
    Crossref | PubMed
  20. Castellano JM, Sanz G, Penalvo JL, et al. A polypill strategy to improve adherence: results from the FOCUS project. J Am Coll Cardiol 2014;64:2071–82.
    Crossref | PubMed
  21. Yusuf S, Lonn E, Pais P, et al. Blood-pressure and cholesterol lowering in persons without cardiovascular disease. N Engl J Med 2016;374:2032–43.
    Crossref | PubMed
  22. Rovio SP, Pahkala K, Nevalainen J, et al. Cardiovascular risk factors from childhood and midlife cognitive performance: the young Finns study. J Am Coll Cardiol 2017;69:2279–89.
    Crossref | PubMed
  23. Baber U, Mehran R, Sartori S, et al. Prevalence, impact, and predictive value of detecting subclinical coronary and carotid atherosclerosis in asymptomatic adults: the BioImage study. J Am Coll Cardiol 2015;65:1065–74.
    Crossref | PubMed
  24. Khera AV, Emdin CA, Drake I, et al. Genetic risk, adherence to a healthy lifestyle, and coronary disease. N Engl J Med 2016;375:2349–58.
    Crossref | PubMed
  25. Gómez-Pardo E, Fernández-Alvira JM, Vilanova M, et al. A comprehensive lifestyle peer group-based intervention on cardiovascular risk factors: the randomized controlled Fifty- Fifty program. J Am Coll Cardiol 2016;67:476–85.
    Crossref | PubMed
  26. Bansilal S, Vedanthan R, Kovacic JC, et al. Rationale and design of family-based approach in a minority community integrating systems-biology for promotion of health (FAMILIA), Am Heart J 2017;187:170–81.
    Crossref | PubMed

References

  1. Fuster V. Stratified approach to health: integration of science and education at the right time for each individual. J Am Coll Cardiol 2015;66:1627–9.
    Crossref PubMed
  2. Yancy CW, Jessup M, Bozkurt B, et al. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation 2013;128:e240–327.
    Crossref PubMed
  3. Weintraub RG, Semsarian C, Macdonald P. Dilated cardiomyopathy. Lancet 2017;390:400–14.
    Crossref PubMed
  4. Rogers JG, Pagani FD, Tatooles AJ, et al. intrapericardial left ventricular assist device for advanced heart failure. N Engl J Med 2017;376:451–60.
    Crossref PubMed
  5. Yancy CW, Jessup M, Bozkurt B, et al. 2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2017;70:776–803.
    Crossref PubMed
  6. McKie PM, Burnett JC Jr. NT-proBNP: the gold standard biomarker in heart failure. J Am Coll Cardiol 2016;68:2437–9.
    Crossref PubMed
  7. Westermann D, Neumann JT, Sorensen NA, et al. Highsensitivity assays for troponin in patients with cardiac disease. Nat Rev Cardiol 2017;14:472–83.
    Crossref PubMed
  8. Twerenbold R, Boeddinghaus J, Nestelberger T, et al. Clinical use of high-sensitivity cardiac troponin in patients with suspected myocardial infarction. J Am Coll Cardiol 2017;70:996– 1012.
    Crossref PubMed
  9. McEvoy JW, Chen Y, Ndumele CE, et al. Six-year change in high-sensitivity cardiac troponin t and risk of subsequent coronary heart disease, heart failure, and death. JAMA Cardiol 2016;1:519–28.
    Crossref PubMed
  10. Lindholm D, Lindback J, Armstrong PW, et al. Biomarker-based risk model to predict cardiovascular mortality in patients with stable coronary disease. J Am Coll Cardiol 2017;70:813–26.
    Crossref PubMed
  11. Arbab-Zadeh A, Fuster V. The myth of the “vulnerable plaque”: transitioning from a focus on individual lesions to atherosclerotic disease burden for coronary artery disease risk assessment. J Am Coll Cardiol 2015;65:846–55.
    Crossref PubMed
  12. Libby P, Nahrendorf M, Swirski FK. Leukocytes link local and systemic inflammation in ischemic cardiovascular disease: an expanded “cardiovascular continuum”. J Am Coll Cardiol 2016;67:1091–103.
    Crossref PubMed
  13. Emami H, Singh P, MacNabb M, et al. Splenic metabolic activity predicts risk of future cardiovascular events: demonstration of a cardiosplenic axis in humans. JACC Cardiovasc Imaging 2015;8:121–30.
    Crossref PubMed
  14. Kato S, Saito N, Nakachi T, et al. Stress perfusion coronary flow reserve versus cardiac magnetic resonance for known or suspected CAD. J Am Coll Cardiol 2017;70:869–79.
    Crossref PubMed
  15. Lloyd-Jones DM, Morris PB, Ballantyne CM, et al. 2017 Focused update of the 2016 ACC expert consensus decision pathway on the role of non-statin therapies for ldl-cholesterol lowering in the management of atherosclerotic cardiovascular disease risk. J Am Coll Cardiol 2017;70:1785–822.
    Crossref PubMed
  16. Sattar N, Petrie MC, Zinman B, et al. Novel diabetes drugs and the cardiovascular specialist. J Am Coll Cardiol 2017;69:2646–56.
    Crossref PubMed
  17. von Lueder TG, Krum H. New medical therapies for heart failure. Nat Rev Cardiol 2015;12:730–40.
    Crossref PubMed
  18. Climent AM, Sanz-Ruiz R, Fernández-Santos ME, et al. General overview of the 13th TECAM conference: time for a global initiative in 2016. Circ Res 2016;119:409–13.
    Crossref PubMed
  19. Sanz G, Fuster V, Guzmán L, et al. The fixed-dose combination drug for secondary cardiovascular prevention project: improving equitable access and adherence to secondary cardiovascular prevention with a fixed-dose combination drug. Study design and objectives. Am Heart J 2011;162:811–7 e1.
    Crossref PubMed
  20. Castellano JM, Sanz G, Penalvo JL, et al. A polypill strategy to improve adherence: results from the FOCUS project. J Am Coll Cardiol 2014;64:2071–82.
    Crossref PubMed
  21. Yusuf S, Lonn E, Pais P, et al. Blood-pressure and cholesterol lowering in persons without cardiovascular disease. N Engl J Med 2016;374:2032–43.
    Crossref PubMed
  22. Rovio SP, Pahkala K, Nevalainen J, et al. Cardiovascular risk factors from childhood and midlife cognitive performance: the young Finns study. J Am Coll Cardiol 2017;69:2279–89.
    Crossref PubMed
  23. Baber U, Mehran R, Sartori S, et al. Prevalence, impact, and predictive value of detecting subclinical coronary and carotid atherosclerosis in asymptomatic adults: the BioImage study. J Am Coll Cardiol 2015;65:1065–74.
    Crossref PubMed
  24. Khera AV, Emdin CA, Drake I, et al. Genetic risk, adherence to a healthy lifestyle, and coronary disease. N Engl J Med 2016;375:2349–58.
    Crossref PubMed
  25. Gómez-Pardo E, Fernández-Alvira JM, Vilanova M, et al. A comprehensive lifestyle peer group-based intervention on cardiovascular risk factors: the randomized controlled Fifty- Fifty program. J Am Coll Cardiol 2016;67:476–85.
    Crossref PubMed
  26. Bansilal S, Vedanthan R, Kovacic JC, et al. Rationale and design of family-based approach in a minority community integrating systems-biology for promotion of health (FAMILIA), Am Heart J 2017;187:170–81.
    Crossref PubMed