OBJECTIVES: the purpose of this study was to assess the predictive accuracy of conventional cardiovascular risk factors for incident heart failure and atrial fibrillation, and the added benefit of multiple biomarkers reflecting diverse pathophysiological pathways. BACKGROUND: heart failure and atrial fibrillation are interrelated cardiac diseases associated with substantial morbidity and mortality and increasing incidence. Data on prediction and prevention of these diseases in healthy individuals are limited. METHODS: in 5,187 individuals from the community-based MDCS (Malmö Diet and Cancer Study), we studied the performance of conventional risk factors and 6 biomarkers including midregional pro-atrial natriuretic peptide (MR-proANP), N-terminal pro-B-type natriuretic peptide (NT-proBNP), midregional pro-adrenomedullin, cystatin C, C-reactive protein (CRP), and copeptin. RESULTS: during a mean follow-up of 14 years, 112 individuals were diagnosed with heart failure and 284 individuals with atrial fibrillation. NT-proBNP (hazard ratio [HR]: 1.63 per SD, 95% confidence interval [CI]: 1.29 to 2.06, p < 0.001), CRP (HR: 1.57 per SD, 95% CI: 1.28 to 1.94, p < 0.001), and MR-proANP (HR: 1.26 per SD, 95% CI: 1.02 to 1.56, p = 0.03) predicted incident heart failure independently of conventional risk factors and other biomarkers. MR-proANP (HR: 1.62, 95% CI: 1.42 to 1.84, p < 0.001) and CRP (HR: 1.18, 95% CI: 1.03 to 1.34, p = 0.01) independently predicted atrial fibrillation. Addition of biomarkers to conventional risk factors improved c-statistics from 0.815 to 0.842 for heart failure and from 0.732 to 0.753 for atrial fibrillation and the integrated discrimination improvement for both diseases (p < 0.001). Net reclassification improvement (NRI) with biomarkers was observed in 22% of individuals for heart failure (NRI, p < 0.001) and in 7% for atrial fibrillation (NRI, p = 0.06), mainly due to up-classification of individuals who developed disease (heart failure: 29%, atrial fibrillation: 19%). Addition of CRP to natriuretic peptides did not improve discrimination or reclassification. CONCLUSIONS: conventional cardiovascular risk factors predict incident heart failure and atrial fibrillation with reasonable accuracy in middle-age individuals free from disease. Natriuretic peptides, but not other biomarkers, improve discrimination modestly for both diseases above and beyond conventional risk factors and substantially improve risk classification for heart failure. 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
OBJECTIVES: the purpose of this study was to assess the predictive accuracy of conventional cardiovascular risk factors for incident heart failure and atrial fibrillation, and the added benefit of multiple biomarkers reflecting diverse pathophysiological pathways. BACKGROUND:heart failure and atrial fibrillation are interrelated cardiac diseases associated with substantial morbidity and mortality and increasing incidence. Data on prediction and prevention of these diseases in healthy individuals are limited. METHODS: in 5,187 individuals from the community-based MDCS (Malmö Diet and Cancer Study), we studied the performance of conventional risk factors and 6 biomarkers including midregional pro-atrial natriuretic peptide (MR-proANP), N-terminal pro-B-type natriuretic peptide (NT-proBNP), midregional pro-adrenomedullin, cystatin C, C-reactive protein (CRP), and copeptin. RESULTS: during a mean follow-up of 14 years, 112 individuals were diagnosed with heart failure and 284 individuals with atrial fibrillation. NT-proBNP (hazard ratio [HR]: 1.63 per SD, 95% confidence interval [CI]: 1.29 to 2.06, p < 0.001), CRP (HR: 1.57 per SD, 95% CI: 1.28 to 1.94, p < 0.001), and MR-proANP (HR: 1.26 per SD, 95% CI: 1.02 to 1.56, p = 0.03) predicted incident heart failure independently of conventional risk factors and other biomarkers. MR-proANP (HR: 1.62, 95% CI: 1.42 to 1.84, p < 0.001) and CRP (HR: 1.18, 95% CI: 1.03 to 1.34, p = 0.01) independently predicted atrial fibrillation. Addition of biomarkers to conventional risk factors improved c-statistics from 0.815 to 0.842 for heart failure and from 0.732 to 0.753 for atrial fibrillation and the integrated discrimination improvement for both diseases (p < 0.001). Net reclassification improvement (NRI) with biomarkers was observed in 22% of individuals for heart failure (NRI, p < 0.001) and in 7% for atrial fibrillation (NRI, p = 0.06), mainly due to up-classification of individuals who developed disease (heart failure: 29%, atrial fibrillation: 19%). Addition of CRP to natriuretic peptides did not improve discrimination or reclassification. CONCLUSIONS: conventional cardiovascular risk factors predict incident heart failure and atrial fibrillation with reasonable accuracy in middle-age individuals free from disease. Natriuretic peptides, but not other biomarkers, improve discrimination modestly for both diseases above and beyond conventional risk factors and substantially improve risk classification for heart failure. 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
Authors: Peter W F Wilson; Sidney C Smith; Roger S Blumenthal; Gregory L Burke; Nathan D Wong Journal: J Am Coll Cardiol Date: 2003-06-04 Impact factor: 24.094
Authors: Donald M Lloyd-Jones; Martin G Larson; Eric P Leip; Alexa Beiser; Ralph B D'Agostino; William B Kannel; Joanne M Murabito; Ramachandran S Vasan; Emelia J Benjamin; Daniel Levy Journal: Circulation Date: 2002-12-10 Impact factor: 29.690
Authors: J S Gottdiener; A M Arnold; G P Aurigemma; J F Polak; R P Tracy; D W Kitzman; J M Gardin; J E Rutledge; R C Boineau Journal: J Am Coll Cardiol Date: 2000-05 Impact factor: 24.094
Authors: Thomas J Wang; Jane C Evans; Emelia J Benjamin; Daniel Levy; Elizabeth C LeRoy; Ramachandran S Vasan Journal: Circulation Date: 2003-08-11 Impact factor: 29.690
Authors: Ronnier J Aviles; David O Martin; Carolyn Apperson-Hansen; Penny L Houghtaling; Pentti Rautaharju; Richard A Kronmal; Russell P Tracy; David R Van Wagoner; Bruce M Psaty; Michael S Lauer; Mina K Chung Journal: Circulation Date: 2003-11-17 Impact factor: 29.690
Authors: Christopher R deFilippi; Robert H Christenson; Willem J Kop; John S Gottdiener; Min Zhan; Stephen L Seliger Journal: J Am Coll Cardiol Date: 2011-09-27 Impact factor: 24.094
Authors: Navaid Iqbal; Bailey Wentworth; Rajiv Choudhary; Alejandro De La Parra Landa; Benjamin Kipper; Arrash Fard; Alan S Maisel Journal: Cardiovasc Diagn Ther Date: 2012-06
Authors: William Bradham; Michelle J Ormseth; Comfort Elumogo; Srikanth Palanisamy; Chia-Ying Liu; Mark A Lawson; Jonathan H Soslow; Nadine Kawel-Boehm; David A Bluemke; C Michael Stein Journal: J Rheumatol Date: 2018-04-15 Impact factor: 4.666
Authors: Joshua D Bundy; Susan R Heckbert; Lin Y Chen; Donald M Lloyd-Jones; Philip Greenland Journal: Am J Cardiol Date: 2019-10-10 Impact factor: 2.778
Authors: Michael Ghannam; Hong Jun Yun; Edward P Ficaro; Hamid Ghanbari; John J Lazarus; Matthew Konerman; Ravi V Shah; Richard Weinberg; James R Corbett; Hakan Oral; Venkatesh L Murthy Journal: J Nucl Cardiol Date: 2018-09-06 Impact factor: 5.952
Authors: Christopher R deFilippi; James A de Lemos; Andrew T Tkaczuk; Robert H Christenson; Mercedes R Carnethon; David S Siscovick; John S Gottdiener; Stephen L Seliger Journal: J Am Coll Cardiol Date: 2012-11-14 Impact factor: 24.094