BACKGROUND: Few studies have examined simultaneously the prognostic value of traditional and emerging biomarkers including atrial natriuretic peptide (ANP) and brain-type natriuretic peptide (BNP), for major cardiovascular disease (CVD) outcomes in patients with stable CVD, and results are equivocal. DESIGN: and METHODS: Mid-regional pro-ANP (MR-proANP) and N-Terminal pro-BNP (NT-proBNP), CRP and homocysteine were measured in stable CVD patients (n = 1456; age: 61.8 y) at inclusion in the SU.FOL.OM3 cohort. Prospective association of biomarkers with risk of heart failure, major cardiovascular (non-fatal myocardial infarction, ischemic stroke or death from CVD) or overall cardiovascular event were examined with Cox proportional-hazards analyses. Increase in prediction risk upon addition of biomarker(s) to the traditional risk model was examined by change in C-statistic, NRI and IDI. RESULTS: During follow-up (median: 4.7 y), 40 heart failure, 145 major cardiovascular and 493 overall cardiovascular events were diagnosed. In models adjusted for age, sex, smoking, diabetes, serum creatinine and CVD inclusion criteria, NT-proBNP and CRP associated significantly with heart failure. Both natriuretic peptides predicted the risk of major cardiovascular events in adjusted models; Hazard ratio (HR) and 95% CI for each SD increase in MR-proANP and NT-proBNP were 1.24 (1.04-1.47), and 1.31 (1.09-1.57), respectively. The addition of NT-proBNP to a traditional risk model increased significantly the area-under-curve for heart failure and overall cardiovascular events (by 6 and 12%, respectively); addition of MR-proANP or homocysteine yielded modest (2%) but statistically significant increase for major cardiovascular events. CONCLUSION:NT-proBNP consistently predicted CVD outcomes and may be useful singly or in combination with MR-proANP for risk-stratification in high-risk patients.
RCT Entities:
BACKGROUND: Few studies have examined simultaneously the prognostic value of traditional and emerging biomarkers including atrial natriuretic peptide (ANP) and brain-type natriuretic peptide (BNP), for major cardiovascular disease (CVD) outcomes in patients with stable CVD, and results are equivocal. DESIGN: and METHODS: Mid-regional pro-ANP (MR-proANP) and N-Terminal pro-BNP (NT-proBNP), CRP and homocysteine were measured in stable CVD patients (n = 1456; age: 61.8 y) at inclusion in the SU.FOL.OM3 cohort. Prospective association of biomarkers with risk of heart failure, major cardiovascular (non-fatal myocardial infarction, ischemic stroke or death from CVD) or overall cardiovascular event were examined with Cox proportional-hazards analyses. Increase in prediction risk upon addition of biomarker(s) to the traditional risk model was examined by change in C-statistic, NRI and IDI. RESULTS: During follow-up (median: 4.7 y), 40 heart failure, 145 major cardiovascular and 493 overall cardiovascular events were diagnosed. In models adjusted for age, sex, smoking, diabetes, serum creatinine and CVD inclusion criteria, NT-proBNP and CRP associated significantly with heart failure. Both natriuretic peptides predicted the risk of major cardiovascular events in adjusted models; Hazard ratio (HR) and 95% CI for each SD increase in MR-proANP and NT-proBNP were 1.24 (1.04-1.47), and 1.31 (1.09-1.57), respectively. The addition of NT-proBNP to a traditional risk model increased significantly the area-under-curve for heart failure and overall cardiovascular events (by 6 and 12%, respectively); addition of MR-proANP or homocysteine yielded modest (2%) but statistically significant increase for major cardiovascular events. CONCLUSION:NT-proBNP consistently predicted CVD outcomes and may be useful singly or in combination with MR-proANP for risk-stratification in high-risk patients.
Authors: Yejin Mok; Yingying Sang; Shoshana H Ballew; Ron C Hoogeveen; Christie M Ballantyne; Wayne Rosamond; Josef Coresh; Elizabeth Selvin; Kunihiro Matsushita Journal: Am Heart J Date: 2019-07-13 Impact factor: 4.749
Authors: Kwok-Leung Ong; Andrzej S Januszewski; Rachel O'Connell; Luke Buizen; Alicia J Jenkins; Aimin Xu; David R Sullivan; Philip J Barter; Russell S Scott; Marja-Riitta Taskinen; Kerry-Anne Rye; Anthony C Keech Journal: Diabetologia Date: 2015-06-09 Impact factor: 10.122
Authors: Kwok-Leung Ong; Andrzej S Januszewski; Rachel O'Connell; Alicia J Jenkins; Aimin Xu; David R Sullivan; Philip J Barter; Wei-Ting Hung; Russell S Scott; Marja-Riitta Taskinen; Anthony C Keech; Kerry-Anne Rye Journal: Diabetologia Date: 2014-11-26 Impact factor: 10.122
Authors: Asmaa S Abdelhamid; Tracey J Brown; Julii S Brainard; Priti Biswas; Gabrielle C Thorpe; Helen J Moore; Katherine Ho Deane; Fai K AlAbdulghafoor; Carolyn D Summerbell; Helen V Worthington; Fujian Song; Lee Hooper Journal: Cochrane Database Syst Rev Date: 2018-11-30
Authors: Bernt Johan von Scholten; Henrik Reinhard; Tine Willum Hansen; Morten Lindhardt; Claus Leth Petersen; Niels Wiinberg; Peter Riis Hansen; Hans-Henrik Parving; Peter Karl Jacobsen; Peter Rossing Journal: Cardiovasc Diabetol Date: 2015-05-21 Impact factor: 9.951
Authors: Asmaa S Abdelhamid; Nicole Martin; Charlene Bridges; Julii S Brainard; Xia Wang; Tracey J Brown; Sarah Hanson; Oluseyi F Jimoh; Sarah M Ajabnoor; Katherine Ho Deane; Fujian Song; Lee Hooper Journal: Cochrane Database Syst Rev Date: 2018-11-27
Authors: Asmaa S Abdelhamid; Tracey J Brown; Julii S Brainard; Priti Biswas; Gabrielle C Thorpe; Helen J Moore; Katherine Ho Deane; Fai K AlAbdulghafoor; Carolyn D Summerbell; Helen V Worthington; Fujian Song; Lee Hooper Journal: Cochrane Database Syst Rev Date: 2018-07-18
Authors: Asmaa S Abdelhamid; Nicole Martin; Charlene Bridges; Julii S Brainard; Xia Wang; Tracey J Brown; Sarah Hanson; Oluseyi F Jimoh; Sarah M Ajabnoor; Katherine Ho Deane; Fujian Song; Lee Hooper Journal: Cochrane Database Syst Rev Date: 2018-07-18