Relations of Biomarkers of Distinct Pathophysiological Pathways and Atrial Fibrillation Incidence in the Community

Background— Biomarkers of multiple pathophysiological pathways have been related to incident atrial fibrillation (AF), but their predictive ability remains controversial. Methods and Results— In 3120 Framingham cohort participants (mean age 58.4±9.7 years, 54% women), we related 10 biomarkers that represented inflammation (C-reactive protein and fibrinogen), neurohormonal activation (B-type natriuretic peptide [BNP] and N-terminal proatrial natriuretic peptide), oxidative stress (homocysteine), the renin-angiotensin-aldosterone system (renin and aldosterone), thrombosis and endothelial function (D-dimer and plasminogen activator inhibitor type 1), and microvascular damage (urinary albumin excretion; n=2673) to incident AF (n=209, 40% women) over a median follow-up of 9.7 years (range 0.05 to 12.8 years). In multivariable-adjusted analyses, the biomarker panel was associated with incident AF (P<0.0001). In stepwise-selection models (P<0.01 for entry and retention), log-transformed BNP (hazard ratio per SD 1.62, 95% confidence interval 1.41 to 1.85, P<0.0001) and C-reactive protein (hazard ratio 1.25, 95% confidence interval 1.07 to 1.45, P=0.004) were chosen. The addition of BNP to variables recently combined in a risk score for AF increased the C-statistic from 0.78 (95% confidence interval 0.75 to 0.81) to 0.80 (95% confidence interval 0.78 to 0.83) and showed an integrated discrimination improvement of 0.03 (95% confidence interval 0.02 to 0.04, P<0.0001), with 34.9% relative improvement in reclassification analysis. The combined analysis of BNP and C-reactive protein did not appreciably improve risk prediction over the model that incorporated BNP in addition to the risk factors. Conclusions— BNP is a predictor of incident AF and improves risk stratification based on well-established clinical risk factors. Whether knowledge of BNP concentrations may be used to target individuals at risk of AF for more intensive monitoring or primary prevention requires further investigation.

[1]  R. Kay The Analysis of Survival Data , 2012 .

[2]  Nancy R Cook,et al.  Advances in Measuring the Effect of Individual Predictors of Cardiovascular Risk: The Role of Reclassification Measures , 2009, Annals of Internal Medicine.

[3]  D. Levy,et al.  Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study , 2009, The Lancet.

[4]  G. Filippatos,et al.  Determinants of plasma NT-pro-BNP levels in patients with atrial fibrillation and preserved left ventricular ejection fraction , 2009, Clinical Research in Cardiology.

[5]  K. Lunetta,et al.  Relations of Inflammatory Biomarkers and Common Genetic Variants With Arterial Stiffness and Wave Reflection , 2008, Hypertension.

[6]  M. Pencina,et al.  Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.

[7]  D. J. Veldhuisen,et al.  N-terminal pro B-type natriuretic peptide levels predict newly detected atrial fibrillation in a population-based cohort , 2008, Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation.

[8]  Panagiotis Korantzopoulos,et al.  Association between C-reactive protein and recurrence of atrial fibrillation after successful electrical cardioversion: a meta-analysis. , 2007, Journal of the American College of Cardiology.

[9]  A. Waldo Secular Trends in Incidence of Atrial Fibrillation in Olmsted County, Minnesota, 1980 to 2000, and Implications on the Projections for Future PrevalenceMiyasaka Y, Barnes ME, Gersh BJ, et al (Mayo Clinic, Rochester, Minn): Circulation 114:119–125, 2006§ , 2007 .

[10]  D. Levy,et al.  Multiple biomarkers for the prediction of first major cardiovascular events and death. , 2006, The New England journal of medicine.

[11]  P. Zimetbaum,et al.  Influence of age, sex, and atrial fibrillation recurrence on quality of life outcomes in a population of patients with new-onset atrial fibrillation: the Fibrillation Registry Assessing Costs, Therapies, Adverse events and Lifestyle (FRACTAL) study. , 2006, American heart journal.

[12]  J. Parner,et al.  Raised Plasma Aldosterone and Natriuretic Peptides in Atrial Fibrillation , 2006, Cardiology.

[13]  Stephen S. Cha,et al.  Secular Trends in Incidence of Atrial Fibrillation in Olmsted County, Minnesota, 1980 to 2000, and Implications on the Projections for Future Prevalence , 2006, Circulation.

[14]  J. Tolstrup,et al.  Fibrinogen and albumin levels and risk of atrial fibrillation in men and women (the Copenhagen City Heart Study). , 2006, The American journal of cardiology.

[15]  J. Salonen,et al.  Clinical Research Prevention and Epidemiology Plasma N-terminal Fragments of Natriuretic Propeptides Predict the Risk of Cardiovascular Events and Mortality in Middle-aged Men , 2022 .

[16]  Le-Xin Wang,et al.  B-type natriuretic peptide levels in patients with paroxysmal lone atrial fibrillation , 2006, Heart and Vessels.

[17]  J. Hollander,et al.  Predictors of elevated B-type natriuretic peptide concentrations in dyspneic patients without heart failure: an analysis from the breathing not properly multinational study. , 2005, Annals of emergency medicine.

[18]  M. P. van den Berg,et al.  C-reactive protein and microalbuminuria are associated with atrial fibrillation. , 2005, International journal of cardiology.

[19]  P. Ellinor,et al.  Discordant atrial natriuretic peptide and brain natriuretic peptide levels in lone atrial fibrillation. , 2005, Journal of the American College of Cardiology.

[20]  G. Lip,et al.  Plasma von Willebrand factor, soluble thrombomodulin, and fibrin D-dimer concentrations in acute onset non-rheumatic atrial fibrillation , 2004, Heart.

[21]  B. Giusti,et al.  Hyperhomocysteinemia and vitamin B6 deficiency: new risk markers for nonvalvular atrial fibrillation? , 2004, American heart journal.

[22]  M. Pencina,et al.  Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation , 2004, Statistics in medicine.

[23]  Daniel Levy,et al.  Plasma natriuretic peptide levels and the risk of cardiovascular events and death. , 2004, The New England journal of medicine.

[24]  Bruce M Psaty,et al.  Inflammation as a Risk Factor for Atrial Fibrillation , 2003, Circulation.

[25]  R. Goldberg,et al.  Usefulness of statin drugs in protecting against atrial fibrillation in patients with coronary artery disease. , 2003, The American journal of cardiology.

[26]  G. Jensen,et al.  Rising Rates of Hospital Admissions for Atrial Fibrillation , 2003, Epidemiology.

[27]  G. Mensah,et al.  Increasing Trends in Hospitalization for Atrial Fibrillation in the United States, 1985 Through 1999: Implications for Primary Prevention , 2003, Circulation.

[28]  A. Blann,et al.  Homocysteine is unlikely to be associated with the risk of thromboembolic complications in atrial fibrillation. , 2003, Blood coagulation & fibrinolysis : an international journal in haemostasis and thrombosis.

[29]  E. Arsava,et al.  Hyperhomocysteinemia Is Associated With the Presence of Left Atrial Thrombus in Stroke Patients With Nonvalvular Atrial Fibrillation , 2003, Stroke.

[30]  Ralph B. D'Agostino,et al.  Evaluation of the Performance of Survival Analysis Models: Discrimination and Calibration Measures , 2003, Advances in Survival Analysis.

[31]  J. McMurray,et al.  Population prevalence, incidence, and predictors of atrial fibrillation in the Renfrew/Paisley study , 2001, Heart.

[32]  D. V. Van Wagoner,et al.  Impaired Myofibrillar Energetics and Oxidative Injury During Human Atrial Fibrillation , 2001, Circulation.

[33]  D. Singer,et al.  Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. , 2001, JAMA.

[34]  Y. Murakami,et al.  Atrium as a source of brain natriuretic polypeptide in patients with atrial fibrillation. , 2000, Journal of cardiac failure.

[35]  M. Enriquez-Sarano,et al.  Natriuretic peptide levels in atrial fibrillation: a prospective hormonal and Doppler-echocardiographic study. , 2000, Journal of the American College of Cardiology.

[36]  D. Levy,et al.  Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. , 1998, Circulation.

[37]  R B D'Agostino,et al.  Impact of atrial fibrillation on mortality, stroke, and medical costs. , 1998, Archives of internal medicine.

[38]  M. Russo,et al.  Histological substrate of atrial biopsies in patients with lone atrial fibrillation. , 1997, Circulation.

[39]  U. Ikeda,et al.  Biochemical markers of coagulation activation in mitral stenosis, atrial fibrillation, and cardiomyopathy , 1997, Clinical cardiology.

[40]  R B D'Agostino,et al.  Secular trends in the prevalence of atrial fibrillation: The Framingham Study. , 1996, American heart journal.

[41]  F A Mathewson,et al.  The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba Follow-Up Study. , 1995, The American journal of medicine.

[42]  D. Levy,et al.  Independent risk factors for atrial fibrillation in a population-based cohort. The Framingham Heart Study. , 1994, JAMA.

[43]  S. Vaziri,et al.  Echocardiographic Predictors of Nonrheumatic Atrial Fibrillation: The Framingham Heart Study , 1994, Circulation.

[44]  Z. Ying,et al.  Checking the Cox model with cumulative sums of martingale-based residuals , 1993 .

[45]  D. Levy,et al.  Survival After the Onset of Congestive Heart Failure in Framingham Heart Study Subjects , 1993, Circulation.

[46]  T. Dawber,et al.  Epidemiological approaches to heart disease: the Framingham Study. , 1951, American journal of public health and the nation's health.