Literature DB >> 27512109

Trajectories of Risk Factors and Risk of New-Onset Atrial Fibrillation in the Framingham Heart Study.

Faisal Rahman1, Xiaoyan Yin1, Martin G Larson1, Patrick T Ellinor1, Steven A Lubitz1, Ramachandran S Vasan1, David D McManus1, Jared W Magnani1, Emelia J Benjamin2.   

Abstract

The associations of long-term patterns of risk factors and the risk of incident atrial fibrillation (AF) are incompletely characterized. Among 4351 Framingham Study participants (mean age 50±11 years at baseline examination, 57% women) from the original and offspring cohorts, we defined longitudinal patterns, referred to as trajectories, of AF risk factors and a composite AF risk score using ≈16 years of data. We used Cox proportional hazards models to examine the association of trajectories to 15-year risk of AF. During follow-up, 719 participants developed AF. Five distinct trajectory groups were identified for systolic blood pressure (BP): groups 1 and 2 (normotensive throughout), group 3 (prehypertensive), group 4 (hypertensive initially with decreasing BP), and group 5 (hypertensive and increasing BP). In multivariable-adjusted analyses, compared with group 1, groups 4 (hazard ratio 2.05; 95% confidence interval 1.24-3.37) and 5 (hazard ratio 1.95; 95% confidence interval 1.08-3.49) were associated with incident AF. Three trajectory groups were identified for antihypertensive treatment. Compared with the group with no treatment throughout, the other 2 groups were associated with increased risk of incident AF. Distinct trajectories for diastolic BP, smoking, diabetes mellitus, and the composite risk score were not associated with increased 15-year risk of AF. Longitudinal trajectories may distinguish how exposures related to AF contribute toward prospective AF risk. Distinct trajectory groups with persistently elevated systolic BP and longer antihypertensive treatment are associated with increased risk of incident AF.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  atrial fibrillation; blood pressure; epidemiology; risk factors; trajectories

Mesh:

Substances:

Year:  2016        PMID: 27512109      PMCID: PMC4982514          DOI: 10.1161/HYPERTENSIONAHA.116.07683

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  23 in total

1.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  Circulation       Date:  2014-03-28       Impact factor: 29.690

2.  Influence of blood pressure on left atrial size. The Framingham Heart Study.

Authors:  S M Vaziri; M G Larson; M S Lauer; E J Benjamin; D Levy
Journal:  Hypertension       Date:  1995-06       Impact factor: 10.190

Review 3.  Global epidemiology of atrial fibrillation.

Authors:  Faisal Rahman; Gene F Kwan; Emelia J Benjamin
Journal:  Nat Rev Cardiol       Date:  2014-08-12       Impact factor: 32.419

4.  A clinical risk score for atrial fibrillation in a biracial prospective cohort (from the Atherosclerosis Risk in Communities [ARIC] study).

Authors:  Alanna M Chamberlain; Sunil K Agarwal; Aaron R Folsom; Elsayed Z Soliman; Lloyd E Chambless; Richard Crow; Marietta Ambrose; Alvaro Alonso
Journal:  Am J Cardiol       Date:  2011-01       Impact factor: 2.778

5.  Echocardiographic predictors of nonrheumatic atrial fibrillation. The Framingham Heart Study.

Authors:  S M Vaziri; M G Larson; E J Benjamin; D Levy
Journal:  Circulation       Date:  1994-02       Impact factor: 29.690

6.  Influence of systolic and diastolic blood pressure on the risk of incident atrial fibrillation in women.

Authors:  David Conen; Usha B Tedrow; Bruce A Koplan; Robert J Glynn; Julie E Buring; Christine M Albert
Journal:  Circulation       Date:  2009-04-13       Impact factor: 29.690

7.  Validation of the Framingham Heart Study and CHARGE-AF Risk Scores for Atrial Fibrillation in Hispanics, African-Americans, and Non-Hispanic Whites.

Authors:  Eric Shulman; Faraj Kargoli; Philip Aagaard; Ethan Hoch; Luigi Di Biase; John Fisher; Jay Gross; Soo Kim; Andrew Krumerman; Kevin J Ferrick
Journal:  Am J Cardiol       Date:  2015-10-19       Impact factor: 2.778

8.  Longitudinal tracking of left atrial diameter over the adult life course: Clinical correlates in the community.

Authors:  David D McManus; Vanessa Xanthakis; Lisa M Sullivan; Justin Zachariah; Jayashri Aragam; Martin G Larson; Emelia J Benjamin; Ramachandran S Vasan
Journal:  Circulation       Date:  2010-01-25       Impact factor: 29.690

9.  50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study.

Authors:  Renate B Schnabel; Xiaoyan Yin; Philimon Gona; Martin G Larson; Alexa S Beiser; David D McManus; Christopher Newton-Cheh; Steven A Lubitz; Jared W Magnani; Patrick T Ellinor; Sudha Seshadri; Philip A Wolf; Ramachandran S Vasan; Emelia J Benjamin; Daniel Levy
Journal:  Lancet       Date:  2015-05-07       Impact factor: 79.321

10.  Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.

Authors:  Alvaro Alonso; Bouwe P Krijthe; Thor Aspelund; Katherine A Stepas; Michael J Pencina; Carlee B Moser; Moritz F Sinner; Nona Sotoodehnia; João D Fontes; A Cecile J W Janssens; Richard A Kronmal; Jared W Magnani; Jacqueline C Witteman; Alanna M Chamberlain; Steven A Lubitz; Renate B Schnabel; Sunil K Agarwal; David D McManus; Patrick T Ellinor; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Elsayed Z Soliman; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Emelia J Benjamin
Journal:  J Am Heart Assoc       Date:  2013-03-18       Impact factor: 5.501

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  16 in total

1.  Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study.

Authors:  Michael M Hammond; Yuankai Zhang; Chathurangi H Pathiravasan; Honghuang Lin; Mayank Sardana; Ludovic Trinquart; Emelia J Benjamin; Belinda Borrelli; Emily S Manders; Kelsey Fusco; Jelena Kornej; Nicole L Spartano; Vik Kheterpal; Christopher Nowak; David D McManus; Chunyu Liu; Joanne M Murabito
Journal:  JMIR Cardio       Date:  2022-04-27

Review 2.  Cardiovascular injury induced by tobacco products: assessment of risk factors and biomarkers of harm. A Tobacco Centers of Regulatory Science compilation.

Authors:  Daniel J Conklin; Suzaynn Schick; Michael J Blaha; Alex Carll; Andrew DeFilippis; Peter Ganz; Michael E Hall; Naomi Hamburg; Tim O'Toole; Lindsay Reynolds; Sanjay Srivastava; Aruni Bhatnagar
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-02-01       Impact factor: 4.733

Review 3.  Review of screening studies for atrial fibrillation in rural populations of 11 countries.

Authors:  Alex I Gavino; Craig S McLachlan
Journal:  Proc (Bayl Univ Med Cent)       Date:  2017-07

Review 4.  Invited review: hypertension and atrial fibrillation: epidemiology, pathophysiology, and implications for management.

Authors:  Jakub Gumprecht; Magdalena Domek; Gregory Y H Lip; Alena Shantsila
Journal:  J Hum Hypertens       Date:  2019-11-05       Impact factor: 3.012

5.  Refining the Association Between Body Mass Index and Atrial Fibrillation: G-Formula and Restricted Mean Survival Times.

Authors:  Sarah C Conner; Sara Lodi; Kathryn L Lunetta; Juan P Casas; Steven A Lubitz; Patrick T Ellinor; Christopher D Anderson; Qiuxi Huang; Justin Coleman; Wendy B White; Emelia J Benjamin; Ludovic Trinquart
Journal:  J Am Heart Assoc       Date:  2019-08-08       Impact factor: 5.501

6.  Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study.

Authors:  Laila Staerk; Biqi Wang; Sarah R Preis; Martin G Larson; Steven A Lubitz; Patrick T Ellinor; David D McManus; Darae Ko; Lu-Chen Weng; Kathryn L Lunetta; Lars Frost; Emelia J Benjamin; Ludovic Trinquart
Journal:  BMJ       Date:  2018-04-26

Review 7.  Cognitive Function and Atrial Fibrillation: From the Strength of Relationship to the Dark Side of Prevention. Is There a Contribution from Sinus Rhythm Restoration and Maintenance?

Authors:  Emanuele Gallinoro; Saverio D'Elia; Dario Prozzo; Michele Lioncino; Francesco Natale; Paolo Golino; Giovanni Cimmino
Journal:  Medicina (Kaunas)       Date:  2019-09-13       Impact factor: 2.430

8.  Long-term blood pressure trajectories and incident atrial fibrillation in women and men: the Tromsø Study.

Authors:  Ekaterina Sharashova; Tom Wilsgaard; Jocasta Ball; Bente Morseth; Eva Gerdts; Laila A Hopstock; Ellisiv B Mathiesen; Henrik Schirmer; Maja-Lisa Løchen
Journal:  Eur Heart J       Date:  2020-04-21       Impact factor: 29.983

9.  Genetically Predicted Blood Pressure and Risk of Atrial Fibrillation.

Authors:  Matthew C Hyman; Michael G Levin; Dipender Gill; Venexia M Walker; Marios K Georgakis; Neil M Davies; Francis E Marchlinski; Scott M Damrauer
Journal:  Hypertension       Date:  2021-01-04       Impact factor: 10.190

10.  Ambulatory blood pressure and risk of new-onset atrial fibrillation in treated hypertensive patients.

Authors:  Francesca Coccina; Anna M Pierdomenico; Umberto Ianni; Matteo De Rosa; Andrea De Luca; Davide Pirro; Jacopo Pizzicannella; Oriana Trubiani; Francesco Cipollone; Giulia Renda; Sante D Pierdomenico
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-11-26       Impact factor: 3.738

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