The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Relations of Biomarkers of Distinct Pathophysiological Pathways and Atrial Fibrillation Incidence in the Community
Open accessAbstract
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.
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Benjamin, E. J. (1994) · JAMA · doi:10.1001/jama.1994.03510350050036 · Cited by 2,613
Self-citationMiyasaka, Y., Barnes, M. E., Gersh, B. J., Cha, S. S., Bailey, K. R., Abhayaratna, W. P., Seward, J. B., & Tsang, T. S. M. (2006) · Circulation · doi:10.1161/circulationaha.105.595140 · Cited by 2,564
Inflammation as a risk factor for atrial fibrillation
Aviles, R. J., Martin, D. O., Apperson-Hansen, C., Houghtaling, P. L., Rautaharju, P., Kronmal, R. A., Tracy, R. P., Van Wagoner, D. R., Psaty, B. M., Lauer, M. S., et al. (2003) · Circulation · doi:10.1161/01.cir.0000103131.70301.4f · Cited by 1,425
Echocardiographic predictors of nonrheumatic atrial fibrillation. The Framingham Heart Study.
Vaziri, S. M., Larson, M. G., Benjamin, E. J., & Levy, D. (1994) · Circulation · doi:10.1161/01.cir.89.2.724 · Cited by 1,073
Self-citationPopulation prevalence, incidence, and predictors of atrial fibrillation in the Renfrew/Paisley study
Stewart, S., Hart, C. L., Hole, D. J., & McMurray, J. J. V. (2001) · Heart · doi:10.1136/heart.86.5.516 · Cited by 661
Wattigney, W. A., Mensah, G. A., & Croft, J. B. (2003) · Circulation · doi:10.1161/01.cir.0000083722.42033.0a · Cited by 505
Secular trends in the prevalence of atrial fibrillation: The Framingham study
Wolf, P. A., Benhamin, E. J., Belanger, A. J., Kannel, W. B., Levy, D., & D'Agostino, R. B. (1996) · American Heart Journal · doi:10.1016/s0002-8703(96)90288-4 · Cited by 446
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Cited by
Calkins, H., Reynolds, M. R., Spector, P., Sondhi, M., Xu, Y., Martin, A., Williams, C. J., & Sledge, I. (2009) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.108.824789 · Cited by 847
Goette, A., Kalman, J. M., Aguinaga, L., Akar, J., Cabrera, J. A., Chen, S. A., Chugh, S. S., Corradi, D., D’Avila, A., Dobrev, D., et al. (2017) · Heart Rhythm · doi:10.1016/j.hrthm.2016.05.028 · Cited by 771
Global epidemiology of atrial fibrillation
Rahman, F., Kwan, G. F., & Benjamin, E. J. (2014) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2014.118 · Cited by 731
Self-citationScreening for Atrial Fibrillation: A Report of the AF-SCREEN International Collaboration
Freedman, B., Camm, J., Calkins, H., Healey, J. S., Rosenqvist, M., Wang, J., Albert, C. M., Anderson, C. S., Antoniou, S., Benjamin, E. J., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.026693 · Cited by 537
Self-citationInterpreting Incremental Value of Markers Added to Risk Prediction Models
Pencina, M. J., D'Agostino, R. B., Pencina, K. M., Janssens, A. C. J. W., & Greenland, P. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kws207 · Cited by 506
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Metadata
- Authors
- Schnabel, R. B., Larson, M. G., Yamamoto, J. F., Sullivan, L. M., Pencina, M. J., Meigs, J. B., Tofler, G. H., Selhub, J., Jacques, P. F., Wolf, P. A., Magnani, J. W., Ellinor, P. T., Wang, T. J., Levy, D., Vasan, R. S., & Benjamin, E. J.
- Venue
- Circulation
- Published
- 2010-01-19
- Volume
- 121
- Issue
- 2
- Pages
- 200-207
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2068000772
- Cited by
- 293
- References
- 8
- FWCI
- 17.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Schnabel, R. B., Larson, M. G., Yamamoto, J. F., Sullivan, L. M., Pencina, M. J., Meigs, J. B., Tofler, G. H., Selhub, J., Jacques, P. F., Wolf, P. A., Magnani, J. W., Ellinor, P. T., Wang, T. J., Levy, D., Vasan, R. S., & Benjamin, E. J. (2010). Relations of Biomarkers of Distinct Pathophysiological Pathways and Atrial Fibrillation Incidence in the Community. Circulation. https://doi.org/10.1161/circulationaha.109.882241
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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