Prognostic Value of Cardiovascular Biomarkers in the Population

Author:

Neumann Johannes Tobias1234,Twerenbold Raphael123,Weimann Jessica12,Ballantyne Christie M.5,Benjamin Emelia J.67,Costanzo Simona8,de Lemos James A.9,deFilippi Christopher R.10,Di Castelnuovo Augusto11,Donfrancesco Chiara12,Dörr Marcus1314,Eggers Kai M.15,Engström Gunnar16,Felix Stephan B.1314,Ferrario Marco M.17,Gansevoort Ron T.18,Giampaoli Simona19,Giedraitis Vilmantas20,Hedberg Pär21,Iacoviello Licia822,Jørgensen Torben2324,Kee Frank25,Koenig Wolfgang262728,Kuulasmaa Kari29,Lewis Joshua R.303132,Lorenz Thiess12,Lyngbakken Magnus N.3334,Magnussen Christina123,Melander Olle15,Nauck Matthias1435,Niiranen Teemu J.293637,Nilsson Peter M.15,Olsen Michael H.3839,Omland Torbjorn3334,Oskarsson Viktor40,Palmieri Luigi12,Peters Anette284142,Prince Richard L.3031,Qaderi Vazhma12,Vasan Ramachandran S.643,Salomaa Veikko29,Sans Susana44,Smith J. Gustav45,Söderberg Stefan40,Thorand Barbara4142,Tonkin Andrew M.4,Tunstall-Pedoe Hugh46,Veronesi Giovanni17,Watanabe Tetsu47,Watanabe Masafumi47,Zeiher Andreas M.4849,Zeller Tanja123,Blankenberg Stefan123,Ojeda Francisco12

Affiliation:

1. Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

2. Center for Population Health Innovation, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

3. German Center for Cardiovascular Research, Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany

4. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia

5. Center for Cardiometabolic Disease Prevention, Department of Medicine, College of Medicine, Baylor University, Houston, Texas

6. Department of Medicine, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, Massachusetts

7. Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts

8. Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy

9. Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas

10. Inova Heart and Vascular Institute, Falls Church, Virginia

11. Mediterranea Cardiocentro, Naples, Italy

12. Department of Cardiovascular, Endocrine-Metabolic Diseases, and Aging, National Institute of Health, Rome, Italy

13. Department of Internal Medicine B, University Greifswald, Greifswald, Germany

14. German Center for Cardiovascular Research, Partner Site Greifswald, University Medicine, Greifswald, Germany

15. Departments of Medical Sciences and Cardiology, Uppsala University, Uppsala, Sweden

16. Department of Clinical Sciences, Lund University, Malmö, Sweden

17. Research Centre in Epidemiology and Preventive Medicine, Department of Medicine and Surgery, University of Insubria, Varese, Italy

18. Department of Nephrology, University Medical Center Groningen, Groningen, the Netherlands

19. Istituto Superiore di Sanità, Rome, Italy

20. Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden

21. Department of Clinical Physiology and Centre for Clinical Research, Västmanland County Hospital, Uppsala University, Västerås, Sweden

22. Department of Medicine and Surgery, Libera Università Mediterranea, Casamassima, Italy

23. Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

24. Centre for Clinical Research and Prevention, BFH Hospital, Copenhagen, Denmark

25. UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, Northern Ireland

26. German Heart Center, Technical University of Munich, Munich, Germany

27. Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany

28. German Center for Cardiovascular Disease Research, Partner Site Munich Heart Alliance, Munich, Germany

29. Finnish Institute for Health and Welfare, Helsinki, Finland

30. Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia

31. Medical School, University of Western Australia, Perth

32. Centre for Kidney Research, Children’s Hospital at Westmead, School of Public Health, Sydney Medical School, University of Sydney, Sydney, Australia

33. Division of Medicine, Department of Cardiology, Akershus University Hospital, Lørenskog, Norway

34. K. G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway

35. Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany

36. Division of Medicine, Turku University Hospital, Turku, Finland

37. Department of Internal Medicine, University of Turku, Turku, Finland

38. Cardiology Section, Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark

39. Department of Regional Health, University of Southern Denmark, Odense

40. Department of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden

41. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

42. Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität, Munich, Germany

43. University of Texas School of Public Health and the University of Texas Health Science Center, San Antonio

44. Catalan Department of Health, Barcelona, Spain

45. Wallenberg Laboratory and Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Gothenburg, Sweden

46. Cardiovascular Epidemiology Unit, Institute of Cardiovascular Research, University of Dundee, Dundee, Scotland

47. Department of Cardiology, Pulmonology, and Nephrology, School of Medicine, Yamagata University, Yamagata, Japan

48. Institute for Cardiovascular Regeneration, Goethe University, Frankfurt, Germany

49. German Center for Cardiovascular Disease Research, Partner Site Rhine-Main, Mainz, Germany

Abstract

ImportanceIdentification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies.ObjectiveTo evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors.Design, Setting, and ParticipantsIndividual-level analysis including data on cardiovascular biomarkers from 28 general population–based cohorts from 12 countries and 4 continents with assessments by participant age. The median follow-up was 11.8 years.ExposureMeasurement of high-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide, B-type natriuretic peptide, or high-sensitivity C-reactive protein.Main Outcomes and MeasuresThe primary outcome was incident atherosclerotic cardiovascular disease, which included all fatal and nonfatal events. The secondary outcomes were all-cause mortality, heart failure, ischemic stroke, and myocardial infarction. Subdistribution hazard ratios (HRs) for the association of biomarkers and outcomes were calculated after adjustment for established risk factors. The additional predictive value of the biomarkers was assessed using the C statistic and reclassification analyses.ResultsThe analyses included 164 054 individuals (median age, 53.1 years [IQR, 42.7-62.9 years] and 52.4% were women). There were 17 211 incident atherosclerotic cardiovascular disease events. All biomarkers were significantly associated with incident atherosclerotic cardiovascular disease (subdistribution HR per 1-SD change, 1.13 [95% CI, 1.11-1.16] for high-sensitivity cardiac troponin I; 1.18 [95% CI, 1.12-1.23] for high-sensitivity cardiac troponin T; 1.21 [95% CI, 1.18-1.24] for N-terminal pro-B-type natriuretic peptide; 1.14 [95% CI, 1.08-1.22] for B-type natriuretic peptide; and 1.14 [95% CI, 1.12-1.16] for high-sensitivity C-reactive protein) and all secondary outcomes. The addition of each single biomarker to a model that included established risk factors improved the C statistic. For 10-year incident atherosclerotic cardiovascular disease in younger people (aged <65 years), the combination of high-sensitivity cardiac troponin I, N-terminal pro-B-type natriuretic peptide, and high-sensitivity C-reactive protein resulted in a C statistic improvement from 0.812 (95% CI, 0.8021-0.8208) to 0.8194 (95% CI, 0.8089-0.8277). The combination of these biomarkers also improved reclassification compared with the conventional model. Improvements in risk prediction were most pronounced for the secondary outcomes of heart failure and all-cause mortality. The incremental value of biomarkers was greater in people aged 65 years or older vs younger people.Conclusions and RelevanceCardiovascular biomarkers were strongly associated with fatal and nonfatal cardiovascular events and mortality. The addition of biomarkers to established risk factors led to only a small improvement in risk prediction metrics for atherosclerotic cardiovascular disease, but was more favorable for heart failure and mortality.

Publisher

American Medical Association (AMA)

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